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  • 1.
    Backman, Max
    et al.
    Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
    La Fleur, Linnea
    Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
    Kurppa, Pinja
    Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
    Djureinovic, Dijana
    Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
    Elfving, Hedvig
    Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
    Brunnström, Hans
    Division of Pathology, Lund University, Skåne University Hospital, Lund, Sweden.
    Mattsson, Johanna Sofia Margareta
    Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
    Pontén, Victor
    Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
    Eltahir, Mohamed
    Department of Pharmaceutical Bioscience, Uppsala University, Uppsala, Sweden.
    Mangsbo, Sara
    Department of Pharmaceutical Bioscience, Uppsala University, Uppsala, Sweden.
    Isaksson, Johan
    Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden; Dept. of Respiratory Medicine, Gävle Hospital, Gävle, Sweden..
    Jirström, Karin
    Division of Pathology, Lund University, Skåne University Hospital, Lund, Sweden.
    Kärre, Klas
    Department of Microbiology, Cell and Tumor Biology (MTC), Karolinska Institutet, Stockholm, Sweden..
    Carbone, Ennio
    Department of Microbiology, Cell and Tumor Biology (MTC), Karolinska Institutet, Stockholm, Sweden; Tumor Immunology and Immunopathology Laboratory, Dept. of Experimental and Clinical Medicine, University Magna Graecia of Catanzaro, Catanzaro, Italy..
    Leandersson, Karin
    Cancer Immunology, Dept. of Translational Medicine, Lund University, Skånes University Hospital, Malmö, Sweden.
    Mezheyeuski, Artur
    Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
    Pontén, Fredrik
    Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
    Lindskog, Cecilia
    Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
    Botling, Johan
    Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
    Micke, Patrick
    Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
    Extending the immune phenotypes of lung cancer: Oasis in the desertManuskript (preprint) (Annet vitenskapelig)
    Abstract [en]

    Introduction: Tumor infiltrating immune cells are key elements of the tumor microenvironment and mediate the anti-tumor effects of immunotherapy. The aim of the study was to characterize patterns of immune cell infiltration in non-small cell lung cancer (NSCLC) in relation to tumor mutations and clinicopathological parameters. 

    Methods: Lymphocytes (CD4+, CD8+, CD20+, FOXP3+, CD45RO+), macrophages (CD163+), plasma cells (CD138+), NK cells (NKp46+) and PD-L1+ were annotated on a tissue microarray including 357 operated NSCLC cases. Somatic mutations and tumor mutational burden were analyzed by targeted sequencing for 82 genes, and transcriptomic immune patterns were established in 197 patients based on RNAseq data. 

    Results: We identified somatic mutations (TP53, NF1, KEAP1, CSMD3, LRP1B) that correlated with specific immune cell infiltrates. Hierarchical clustering revealed four immune classes: with (1) high immune cell infiltration (“inflamed”), (2) low immune cell infiltration (“desert”), (3) a mixed phenotype, and (4) a new phenotype with an overall muted inflammatory cell pattern but with an imprint of NK and plasma cells. This latter class exhibited low expression of immune response-related genes (e.g. CXCL9, GZMB, INFG, TGFB1), but was linked to better survival and therefore designated “oasis”. Otherwise, the four immune classes were not related to the presence of specific mutations (EGFR, KRAS, TP53) or histologic subtypes. 

    Conclusion: We present a compartment-specific immune cell analysis in the context of the molecular and clinical background of NSCLC and identified the novel immune class “oasis”. The immune classification helps to better define the immunogenic potency of NSCLC in the era of immunotherapy. 

  • 2.
    Bergman, Julia
    et al.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Botling, Johan
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Fagerberg, Linn
    KTH Royal Inst Technol, Sci Life Lab, SE-17121 Stockholm, Sweden.
    Hallström, Björn M.
    KTH Royal Inst Technol, Sci Life Lab, SE-17121 Stockholm, Sweden.
    Djureinovic, Dijana
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Uhlén, Mathias
    KTH Royal Inst Technol, Sci Life Lab, SE-17121 Stockholm, Sweden.
    Ponten, Fredrik
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    The human adrenal gland proteome defined by transcriptomics and antibody-based profiling2017Inngår i: Endocrinology, ISSN 0013-7227, E-ISSN 1945-7170, Vol. 158, nr 2, s. 239-251Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The adrenal gland is a composite endocrine organ with vital functions that include the synthesis and release of glucocorticoids and catecholamines. To define the molecular landscape that underlies the specific functions of the adrenal gland, we combined a genome-wide transcriptomics approach based on mRNA sequencing of human tissues with immunohistochemistry-based protein profiling on tissue microarrays. Approximately two-thirds of all putative protein coding genes were expressed in the adrenal gland and the analysis identified 253 genes with an elevated pattern of expression in the adrenal gland, with only 37 genes showing a markedly higher expression level (>5-fold) in the adrenal gland compared to 31 other normal human tissue types analyzed. The analyses allowed for an assessment of the relative expression levels for well-known proteins involved in adrenal gland function, but also identified previously poorly characterized proteins in the adrenal cortex, such as FERM domain containing 5 (FRMD5) and protein NOV homolog (NOV). In summary, we provide a global analysis of the adrenal gland transcriptome and proteome, with a comprehensive list of genes with elevated expression in the adrenal gland and spatial information with examples of protein expression patterns for corresponding proteins. These genes and proteins constitute important starting points for an improved understanding of the normal function and pathophysiology of the adrenal glands.

  • 3.
    Brunnstrom, Hans
    et al.
    Reg Labs Reg Skane, Dept Pathol, SE-22185 Lund, Sweden.;Lund Univ, Div Oncol & Pathol, Dept Clin Sci Lund, Lund, Sweden..
    Johansson, Anna
    Reg Labs Reg Skane, Dept Pathol, SE-22185 Lund, Sweden.;Lund Univ, Div Oncol & Pathol, Dept Clin Sci Lund, Lund, Sweden..
    Westbom-Fremer, Sofia
    Reg Labs Reg Skane, Dept Pathol, SE-22185 Lund, Sweden..
    Backman, Max
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Djureinovic, Dijana
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Patthey, Annika
    Umea Univ Hosp, Dept Pathol, Umea, Sweden..
    Isaksson-Mettvainio, Martin
    Umea Univ Hosp, Dept Pathol, Umea, Sweden..
    Gulyas, Miklos
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Micke, Patrick
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    PD-L1 immunohistochemistry in clinical diagnostics of lung cancer: inter-pathologist variability is higher than assay variability2017Inngår i: Modern Pathology, ISSN 0893-3952, E-ISSN 1530-0285, Vol. 30, nr 10, s. 1411-1421Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Assessment of programmed cell death ligand 1 (PD-L1) immunohistochemical staining is used for decision on treatment with programmed cell death 1 and PD-L1 checkpoint inhibitors in lung adenocarcinomas and squamous cell carcinomas. This study aimed to compare the staining properties of tumor cells between the antibody clones 28-8, 22C3, SP142, and SP263 and investigate interrater variation between pathologists to see if these stainings can be safely evaluated in the clinical setting. Using consecutive sections from a tissue microarray with tumor tissue from 55 resected lung cancer cases, staining with five PD-L1 assays (28-8 from two different vendors, 22C3, SP142, and SP263) was performed. Seven pathologists individually evaluated the percentage of positive tumor cells, scoring each sample applying cutoff levels used in clinical studies: < 1% positive tumor cells (score 0), 1-4% (score 1), 5-9% (score 2), 10-24% (score 3), 25-49% (score 4), and > 50% positive tumor cells (score 5). Pairwise analysis of antibody clones showed weighted kappa values in the range of 0.45-0.91 with the highest values for comparisons with 22C3 and 28-8 and the lowest involving SP142. Excluding SP142 resulted in kappa 0.75-0.91. Weighted kappa for interobserver variation between pathologists was 0.71-0.96. Up to 20% of the cases were differently classified as positive or negative by any pathologist compared with consensus score using >= 1% positive tumor cells as cutoff. A significantly better agreement between pathologists was seen using >= 50% as cutoff (0-5% of cases). In conclusion, the concordance between the PD-L1 antibodies 22C3, 28-8 and SP263 is relatively good when evaluating lung cancers and suggests that any one of these assays may be sufficient as basis for decision on treatment with nivolumab, pembrolizumab, and durvalumab. The scoring of the pathologist presents an intrinsic source of error that should be considered especially at low PD-L1 scores.

  • 4.
    Djureinovic, Dijana
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi.
    Transcriptomic and Proteomic Analysis of Tumor Markers in Tissue and Blood from Patients with Lung Cancer2018Doktoravhandling, med artikler (Annet vitenskapelig)
    Abstract [en]

    Despite recent treatment advancements, the survival outcome remains poor for the majority of patients with non-small cell lung cancer (NSCLC). The aim of this thesis was to evaluate protein expression to predict prognosis and identify biomarkers that can be used as targets for immunotherapy or for early detection of NSCLC.

    In Paper I an optimized immunohistochemistry (IHC)-based prognostic model was developed for NSCLC. The prognostic performance of the model was compared to the clinicopathological parameters that are used in the clinical setting to predict outcome. The protein model failed to outperform clinicopathological parameters in predicting survival outcome questioning the potential of IHC-based assessment of prognostic markers in NSCLC.

    In Paper II the human testis-specific proteome was profiled using RNA-sequencing (RNA-seq) data from testis and 26 other organs. More than 1000 genes demonstrated a testis-enriched expression pattern which makes testis the tissue with the most tissue-specific genes. The majority of the testis-enriched genes were previously poorly described and were further profiled by IHC. This analysis provides a starting point to increase the molecular understanding of testicular biology.

    In Paper III the profiling of cancer-testis antigens (CTAs) was performed in NSCLC by using RNA-seq data from 32 normal organs and NSCLC. Ninety genes showed CTA expression profiles. The transcriptomic data were validated by IHC for several CTAs. The comprehensive analysis of CTAs can guide biomarker studies or help to identify targets for immunotherapeutic strategies.

    In Paper IV the reactivity of CTAs was evaluated by measuring the abundance of autoantibodies in plasma from patients with NSCLC and benign lung diseases. Twenty-nine CTAs demonstrated exclusive reactivity in NSCLC and six of them were reactive in an independent NSCLC cohort. These findings suggest that some CTAs are immunogenic and could be utilized in immunotherapy.

    In Paper V an immunoassay was used on lung adenocarcinoma plasma samples and samples from benign lung diseases. The plasma levels of 92 cancer related proteins were used to build a model that discriminated lung adenocarcinoma from benign controls with a sensitivity of 93% and a specificity of 64%. The results indicate that this assay is promising for the early detection of NSCLC.

    In summary, this thesis presents an integrative analysis of lung cancer tissue and blood samples to characterize NSCLC on the transcriptomic and proteomic level and to identify cancer specific proteins.

    Delarbeid
    1. Reaching the limits of prognostication in non-small cell lung cancer: an optimized biomarker panel fails to outperform clinical parameters.
    Åpne denne publikasjonen i ny fane eller vindu >>Reaching the limits of prognostication in non-small cell lung cancer: an optimized biomarker panel fails to outperform clinical parameters.
    Vise andre…
    2017 (engelsk)Inngår i: Modern Pathology, ISSN 0893-3952, E-ISSN 1530-0285, Vol. 30, nr 7, s. 964-977Artikkel i tidsskrift (Fagfellevurdert) Published
    Abstract [en]

    Numerous protein biomarkers have been analyzed to improve prognostication in non-small cell lung cancer, but have not yet demonstrated sufficient value to be introduced into clinical practice. Here, we aimed to develop and validate a prognostic model for surgically resected non-small cell lung cancer. A biomarker panel was selected based on (1) prognostic association in published literature, (2) prognostic association in gene expression data sets, (3) availability of reliable antibodies, and (4) representation of diverse biological processes. The five selected proteins (MKI67, EZH2, SLC2A1, CADM1, and NKX2-1 alias TTF1) were analyzed by immunohistochemistry on tissue microarrays including tissue from 326 non-small cell lung cancer patients. One score was obtained for each tumor and each protein. The scores were combined, with or without the inclusion of clinical parameters, and the best prognostic model was defined according to the corresponding concordance index (C-index). The best-performing model was subsequently validated in an independent cohort consisting of tissue from 345 non-small cell lung cancer patients. The model based only on protein expression did not perform better compared to clinicopathological parameters, whereas combining protein expression with clinicopathological data resulted in a slightly better prognostic performance (C-index: all non-small cell lung cancer 0.63 vs 0.64; adenocarcinoma: 0.66 vs 0.70, squamous cell carcinoma: 0.57 vs 0.56). However, this modest effect did not translate into a significantly improved accuracy of survival prediction. The combination of a prognostic biomarker panel with clinicopathological parameters did not improve survival prediction in non-small cell lung cancer, questioning the potential of immunohistochemistry-based assessment of protein biomarkers for prognostication in clinical practice.Modern Pathology advance online publication, 10 March 2017; doi:10.1038/modpathol.2017.14.

    HSV kategori
    Forskningsprogram
    Patologi
    Identifikatorer
    urn:nbn:se:uu:diva-318128 (URN)10.1038/modpathol.2017.14 (DOI)000404718100006 ()28281552 (PubMedID)
    Forskningsfinansiär
    Swedish Cancer Society
    Tilgjengelig fra: 2017-03-23 Laget: 2017-03-23 Sist oppdatert: 2019-03-29bibliografisk kontrollert
    2. The human testis-specific proteome defined by transcriptomics and antibody-based profiling
    Åpne denne publikasjonen i ny fane eller vindu >>The human testis-specific proteome defined by transcriptomics and antibody-based profiling
    Vise andre…
    2014 (engelsk)Inngår i: Molecular human reproduction, ISSN 1360-9947, E-ISSN 1460-2407, Vol. 20, nr 6, s. 476-488Artikkel i tidsskrift (Fagfellevurdert) Published
    Abstract [en]

    The testis' function is to produce haploid germ cells necessary for reproduction. Here we have combined a genome-wide transcriptomics analysis with immunohistochemistry-based protein profiling to characterize the molecular components of the testis. Deep sequencing (RNA-Seq) of normal human testicular tissue from seven individuals was performed and compared with 26 other normal human tissue types. All 20 050 putative human genes were classified into categories based on expression patterns. The analysis shows that testis is the tissue with the most tissue-specific genes by far. More than 1000 genes show a testis-enriched expression pattern in testis when compared with all other analyzed tissues. Highly testis enriched genes were further characterized with respect to protein localization within the testis, such as spermatogonia, spermatocytes, spermatids, sperm, Sertoli cells and Leydig cells. Here we present an immunohistochemistry-based analysis, showing the localization of corresponding proteins in different cell types and various stages of spermatogenesis, for 62 genes expressed at > 50-fold higher levels in testis when compared with other tissues. A large fraction of these genes were unexpectedly expressed in early stages of spermatogenesis. In conclusion, we have applied a genome-wide analysis to identify the human testis-specific proteome using transcriptomics and antibody-based protein profiling, providing lists of genes expressed in a tissue-enriched manner in the testis. The majority of these genes and proteins were previously poorly characterised in terms of localization and function, and our list provides an important starting point to increase our molecular understanding of human reproductive biology and disease.

    Emneord
    immunohistochemistry, RNA sequencing, spermatogenesis, testis, tissue specificity
    HSV kategori
    Identifikatorer
    urn:nbn:se:uu:diva-227710 (URN)10.1093/molehr/gau018 (DOI)000336495100002 ()
    Tilgjengelig fra: 2014-07-01 Laget: 2014-06-30 Sist oppdatert: 2018-04-11bibliografisk kontrollert
    3. Profiling cancer testis antigens in non-small-cell lung cancer
    Åpne denne publikasjonen i ny fane eller vindu >>Profiling cancer testis antigens in non-small-cell lung cancer
    Vise andre…
    2016 (engelsk)Inngår i: JCI INSIGHT, ISSN 2379-3708, Vol. 1, nr 10, artikkel-id e86837Artikkel i tidsskrift (Fagfellevurdert) Published
    Abstract [en]

    Cancer testis antigens (CTAs) are of clinical interest as biomarkers and present valuable targets for immunotherapy. To comprehensively characterize the CTA landscape of non-small-cell lung cancer (NSCLC), we compared RNAseq data from 199 NSCLC tissues to the normal transcriptome of 142 samples from 32 different normal organs. Of 232 CTAs currently annotated in the Caner Testis Database (CTdatabase), 96 were confirmed in NSCLC. To obtain an unbiased CTA profile of NSCLC, we applied stringent criteria on our RNAseq data set and defined 90 genes as CTAs, of which 55 genes were not annotated in the CTdatabase, thus representing potential new CTAs. Cluster analysis revealed that CTA expression is histology dependent and concurrent expression is common. IHC confirmed tissue-specific protein expression of selected new CTAs (TKTL1, TGIF2LX, VCX, and CXORF67). Furthermore, methylation was identified as a regulatory mechanism of CTA expression based on independent data from The Cancer Genome Atlas. The proposed prognostic impact of CTAs in lung cancer was not confirmed, neither in our RNAseq cohort nor in an independent meta-analysis of 1,117 NSCLC cases. In summary, we defined a set of 90 reliable CTAs, including information on protein expression, methylation, and survival association. The detailed RNAseq catalog can guide biomarker studies and efforts to identify targets for immunotherapeutic strategies.

    HSV kategori
    Forskningsprogram
    Patologi
    Identifikatorer
    urn:nbn:se:uu:diva-310039 (URN)10.1172/jci.insight.86837 (DOI)000387113300012 ()27699219 (PubMedID)
    Tilgjengelig fra: 2016-12-09 Laget: 2016-12-09 Sist oppdatert: 2019-03-29bibliografisk kontrollert
    4. Detection of autoantibodies against cancer-testis antigens in non-small cell lung cancer
    Åpne denne publikasjonen i ny fane eller vindu >>Detection of autoantibodies against cancer-testis antigens in non-small cell lung cancer
    Vise andre…
    2018 (engelsk)Inngår i: Lung Cancer, ISSN 0169-5002, E-ISSN 1872-8332, Vol. 125, s. 157-163Artikkel i tidsskrift (Fagfellevurdert) Published
    Abstract [en]

    Cancer testis antigens (CTAs) are defined as proteins that are specifically expressed in testis or placenta and their expression is frequently activated in cancer. Due to their ability to induce an immune response, CTAs may serve as suitable targets for immunotherapy. The aim of this study was to evaluate if there is reactivity against CTAs in the plasma of non-small cell lung cancer (NSCLC) patients through the detection of circulating antibodies. 

    To comprehensively analyse auto-antibodies against CTAs the multiplexing capacities of suspension bead array technology was used. Bead arrays were created with 120 protein fragments, representing 112 CTAs. Reactivity profiles were measured in plasma samples from 133 NSCLC patients and 57 cases with benign lung diseases. Altogether reactivity against 69 antigens, representing 81 CTAs, was demonstrated in at least one of the analysed samples. Twenty-nine of the antigens (45 CTAs) demonstrated exclusive reactivity in NSCLC samples. Reactivity against CT47A genes, PAGE3, VCX, MAGEB1, LIN28B and C12orf54 were only found in NSCLC patients at a frequency of 1%-4%. The presence of autoantibodies towards these six antigens was confirmed in an independent group of 34 NSCLC patients.

    In conclusion, we identified autoantibodies against CTAs in the plasma of lung cancer patients. The reactivity pattern of autoantibodies was higher in cancer patients compared to the benign group, stable over time, but low in frequency of occurrence. The findings suggest that some CTAs are immunogenic and that these properties can be utilized as immune targets.

    Emneord
    Lung cancer, adenocarcinoma, squamous cell cancer, cancer immunity, tumor markers, MAGE, PAGE
    HSV kategori
    Forskningsprogram
    Patologi
    Identifikatorer
    urn:nbn:se:uu:diva-347809 (URN)10.1016/j.lungcan.2018.09.012 (DOI)000450378500023 ()
    Forskningsfinansiär
    Swedish Cancer Society, 2012/738Knut and Alice Wallenberg FoundationErik, Karin och Gösta Selanders Foundation
    Tilgjengelig fra: 2018-04-07 Laget: 2018-04-07 Sist oppdatert: 2019-03-29bibliografisk kontrollert
    5. Multiplex plasma protein profiling identifies novel markers to discriminate patients with adenocarcinoma of the lung
    Åpne denne publikasjonen i ny fane eller vindu >>Multiplex plasma protein profiling identifies novel markers to discriminate patients with adenocarcinoma of the lung
    Vise andre…
    2019 (engelsk)Inngår i: BMC Cancer, ISSN 1471-2407, E-ISSN 1471-2407, Vol. 19, artikkel-id 741Artikkel i tidsskrift (Fagfellevurdert) Published
    Abstract [en]

    Background:The overall prognosis of non-small cell lung cancer (NSCLC) is poor, and currently only patients with localized disease are potentially curable. Therefore, preferably non-invasively determined biomarkers that detect NSCLC patients at early stages of the disease are of high clinical relevance. The aim of this study was to identify and validate novel protein markers in plasma using the highly sensitive DNA-assisted multiplex proximity extension assay (PEA) to discriminate NSCLC from other lung diseases. 

    Methods:Plasma samples were collected from a total of 343 patients who underwent surgical resection for different lung diseases, including 144 patients with lung adenocarcinoma (LAC),68 patients with non-malignant lung disease, 83 with lung metastasis of colorectal cancers and 48 patients with typical carcinoid. One microliter of plasma was analyzed using PEA, allowing detection and quantification of 92 established cancer related proteins. The concentrations of the plasma proteins were compared between disease groups.

    Results:The comparison between LAC and benign samples revealed significantly different plasma levels for four proteins; CXL17, CEACAM5, VEGFR2 and ERBB3 (adjusted p-value < 0.05). A multi-parameter classifier was developed to discriminate between samples from LAC patients and from patients with non-malignant lung conditions. With a bootstrap aggregated decision tree algorithm (TreeBagger) a sensitivity of 93% and specificity of 64% was achieved to detect LAC in this risk population. 

    Conclusion:By applying the highly sensitive PEA, reliable protein profiles could be determined in microliter amounts of plasma. We further identified proteins that demonstrated different plasma concentration in defined disease groups and developed a signature that holds potential to be included in a screening assay for early lung cancer detection. 

    Emneord
    lung cancer, tumor markers, blood, serum, screening, biomarker
    HSV kategori
    Identifikatorer
    urn:nbn:se:uu:diva-347805 (URN)10.1186/s12885-019-5943-3 (DOI)000477815100004 ()31357969 (PubMedID)
    Forskningsfinansiär
    Swedish Cancer Society, 2012/738
    Tilgjengelig fra: 2018-04-07 Laget: 2018-04-07 Sist oppdatert: 2019-09-09bibliografisk kontrollert
  • 5.
    Djureinovic, Dijana
    et al.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Dodig-Crnkovic, Tea
    Affinity Proteomics, SciLifeLab, School of Biotechnology, KTH - Royal Institute of Technology, Solna, Sweden.
    Hellström, Cecilia
    Affinity Proteomics, SciLifeLab, School of Biotechnology, KTH - Royal Institute of Technology, Solna, Sweden.
    Holgersson, Georg
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Experimentell och klinisk onkologi.
    Bergqvist, Michael
    Department of Oncology, Gavle Hospital, Gavle, Sweden..
    Mattsson, Johanna Sofia Margareta
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Ponten, Fredrik
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Ståhle, Elisabeth
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för kirurgiska vetenskaper, Thoraxkirurgi. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, Uppsala kliniska forskningscentrum (UCR).
    Schwenk, Jochen M.
    Affinity Proteomics, SciLifeLab, School of Biotechnology, KTH - Royal Institute of Technology, Solna, Sweden.
    Micke, Patrick
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Detection of autoantibodies against cancer-testis antigens in non-small cell lung cancer2018Inngår i: Lung Cancer, ISSN 0169-5002, E-ISSN 1872-8332, Vol. 125, s. 157-163Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Cancer testis antigens (CTAs) are defined as proteins that are specifically expressed in testis or placenta and their expression is frequently activated in cancer. Due to their ability to induce an immune response, CTAs may serve as suitable targets for immunotherapy. The aim of this study was to evaluate if there is reactivity against CTAs in the plasma of non-small cell lung cancer (NSCLC) patients through the detection of circulating antibodies. 

    To comprehensively analyse auto-antibodies against CTAs the multiplexing capacities of suspension bead array technology was used. Bead arrays were created with 120 protein fragments, representing 112 CTAs. Reactivity profiles were measured in plasma samples from 133 NSCLC patients and 57 cases with benign lung diseases. Altogether reactivity against 69 antigens, representing 81 CTAs, was demonstrated in at least one of the analysed samples. Twenty-nine of the antigens (45 CTAs) demonstrated exclusive reactivity in NSCLC samples. Reactivity against CT47A genes, PAGE3, VCX, MAGEB1, LIN28B and C12orf54 were only found in NSCLC patients at a frequency of 1%-4%. The presence of autoantibodies towards these six antigens was confirmed in an independent group of 34 NSCLC patients.

    In conclusion, we identified autoantibodies against CTAs in the plasma of lung cancer patients. The reactivity pattern of autoantibodies was higher in cancer patients compared to the benign group, stable over time, but low in frequency of occurrence. The findings suggest that some CTAs are immunogenic and that these properties can be utilized as immune targets.

  • 6.
    Djureinovic, Dijana
    et al.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Molekylär och morfologisk patologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Fagerberg, L.
    Hallstrom, B.
    Danielsson, A.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Lindskog Bergström, Cecilia
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Molekylär och morfologisk patologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Uhlen, M.
    Pontén, Fredrik
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Molekylär och morfologisk patologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    The human testis-specific proteome defined by transcriptomics and antibody-based profiling2014Inngår i: Molecular human reproduction, ISSN 1360-9947, E-ISSN 1460-2407, Vol. 20, nr 6, s. 476-488Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The testis' function is to produce haploid germ cells necessary for reproduction. Here we have combined a genome-wide transcriptomics analysis with immunohistochemistry-based protein profiling to characterize the molecular components of the testis. Deep sequencing (RNA-Seq) of normal human testicular tissue from seven individuals was performed and compared with 26 other normal human tissue types. All 20 050 putative human genes were classified into categories based on expression patterns. The analysis shows that testis is the tissue with the most tissue-specific genes by far. More than 1000 genes show a testis-enriched expression pattern in testis when compared with all other analyzed tissues. Highly testis enriched genes were further characterized with respect to protein localization within the testis, such as spermatogonia, spermatocytes, spermatids, sperm, Sertoli cells and Leydig cells. Here we present an immunohistochemistry-based analysis, showing the localization of corresponding proteins in different cell types and various stages of spermatogenesis, for 62 genes expressed at > 50-fold higher levels in testis when compared with other tissues. A large fraction of these genes were unexpectedly expressed in early stages of spermatogenesis. In conclusion, we have applied a genome-wide analysis to identify the human testis-specific proteome using transcriptomics and antibody-based protein profiling, providing lists of genes expressed in a tissue-enriched manner in the testis. The majority of these genes and proteins were previously poorly characterised in terms of localization and function, and our list provides an important starting point to increase our molecular understanding of human reproductive biology and disease.

  • 7.
    Djureinovic, Dijana
    et al.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi.
    Grinberg, Marianna
    Tu Dortmund Univ, Dept Stat, Dortmund, Germany..
    Mattsson, Johanna Sofia Margareta
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi.
    Edlund, Karolina
    Tu Dortmund Univ, Leibniz Res Ctr Working Environm & Human Factors, Dortmund, Germany..
    Rahnenfuehrer, Joerg
    Tu Dortmund Univ, Dept Stat, Dortmund, Germany..
    Hengstler, Jan
    Tu Dortmund Univ, Leibniz Res Ctr Working Environm & Human Factors, Dortmund, Germany..
    La Fleur, Linnea
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi.
    Ekman, Simon
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi.
    Brunnström, Hans
    Lund Univ, Div Pathol, Lund, Sweden..
    Koyi, Hirsh
    Gavle Cent Hosp, Dept Pneumol, Gavle, Sweden..
    Branden, Eva
    Gavle Cent Hosp, Dept Pneumol, Gavle, Sweden..
    Lambe, Mats
    Reg Canc Ctr Uppsala Orebro, Uppsala, Sweden..
    Jirström, Karin
    Lund Univ, Div Pathol, Lund, Sweden..
    Pontén, Fredrik
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi.
    Botling, Johan
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi.
    Micke, Patrick
    The Crux of Molecular Prognostications in NSCLC: An Optimized Biomarker Panel Fails to Outperform Clinical Parameters2015Inngår i: Journal of Thoracic Oncology, ISSN 1556-0864, E-ISSN 1556-1380, Vol. 10, nr 9, s. S712-S713Artikkel i tidsskrift (Annet vitenskapelig)
  • 8.
    Djureinovic, Dijana
    et al.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Hallström, Bjorn M.
    KTH Royal Inst Technol, Sci Life Lab, Stockholm, Sweden..
    Horie, Masafumi
    Univ Tokyo, Grad Sch Med, Dept Resp Med, Tokyo, Japan..
    Mattsson, Johanna Sofia Margareta
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    La Fleur, Linnea
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Fagerberg, Linn
    KTH Royal Inst Technol, Sci Life Lab, Stockholm, Sweden..
    Brunnström, Hans
    Reg Labs Reg Skane, Dept Pathol, Lund, Sweden..
    Lindskog, Cecilia
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Madjar, Katrin
    Tech Univ Dortmund, Dept Stat, Dortmund, Germany..
    Rahnenfuehrer, Joerg
    Tech Univ Dortmund, Dept Stat, Dortmund, Germany..
    Ekman, Simon
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Experimentell och klinisk onkologi.
    Ståhle, Elisabeth
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, Uppsala kliniska forskningscentrum (UCR).
    Koyi, Hirsh
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, Centrum för klinisk forskning, Gävleborg.
    Brandén, Eva
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, Centrum för klinisk forskning, Gävleborg.
    Edlund, Karolina
    Tech Univ Dortmund, Leibniz Res Ctr Working Environm & Human Factors, Dortmund, Germany..
    Hengstler, Jan G.
    Tech Univ Dortmund, Leibniz Res Ctr Working Environm & Human Factors, Dortmund, Germany..
    Lambe, Mats
    Univ Uppsala Hosp, Reg Canc Ctr, Uppsala, Sweden..
    Saito, Akira
    Univ Tokyo, Grad Sch Med, Dept Resp Med, Tokyo, Japan..
    Botling, Johan
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Ponten, Fredrik
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Uhlen, Mathias
    KTH Royal Inst Technol, Sci Life Lab, Stockholm, Sweden..
    Micke, Patrick
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Profiling cancer testis antigens in non-small-cell lung cancer2016Inngår i: JCI INSIGHT, ISSN 2379-3708, Vol. 1, nr 10, artikkel-id e86837Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Cancer testis antigens (CTAs) are of clinical interest as biomarkers and present valuable targets for immunotherapy. To comprehensively characterize the CTA landscape of non-small-cell lung cancer (NSCLC), we compared RNAseq data from 199 NSCLC tissues to the normal transcriptome of 142 samples from 32 different normal organs. Of 232 CTAs currently annotated in the Caner Testis Database (CTdatabase), 96 were confirmed in NSCLC. To obtain an unbiased CTA profile of NSCLC, we applied stringent criteria on our RNAseq data set and defined 90 genes as CTAs, of which 55 genes were not annotated in the CTdatabase, thus representing potential new CTAs. Cluster analysis revealed that CTA expression is histology dependent and concurrent expression is common. IHC confirmed tissue-specific protein expression of selected new CTAs (TKTL1, TGIF2LX, VCX, and CXORF67). Furthermore, methylation was identified as a regulatory mechanism of CTA expression based on independent data from The Cancer Genome Atlas. The proposed prognostic impact of CTAs in lung cancer was not confirmed, neither in our RNAseq cohort nor in an independent meta-analysis of 1,117 NSCLC cases. In summary, we defined a set of 90 reliable CTAs, including information on protein expression, methylation, and survival association. The detailed RNAseq catalog can guide biomarker studies and efforts to identify targets for immunotherapeutic strategies.

  • 9.
    Djureinovic, Dijana
    et al.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi.
    Hallström, Björn
    Royal Inst Technol, Sci Life Lab, Stockholm, Sweden..
    Mattsson, Johanna Sofia Margareta
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi.
    La Fleur, Linnea
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi.
    Botling, Johan
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi.
    Fagerberg, Linn
    Brunnström, Hans
    Lund Univ, Div Pathol, Lund, Sweden..
    Ekman, Simon
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi.
    Ståhle, Elisabeth
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, Uppsala kliniska forskningscentrum (UCR). Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för kirurgiska vetenskaper, Thoraxkirurgi.
    Koyi, Hirsh
    Gavle Cent Hosp, Dept Pneumol, S-80187 Gavle, Sweden..
    Lambe, Mats
    Reg Canc Ctr Uppsala Orebro, Uppsala, Sweden..
    Branden, Eva
    Gavle Cent Hosp, Dept Pneumol, S-80187 Gavle, Sweden..
    Lindskog, Cecilia
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi.
    Pontén, Fredrik
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi.
    Uhlen, Mathias
    Royal Inst Technol, Sci Life Lab, Stockholm, Sweden..
    Micke, Patrick
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi.
    The Identification of Therapeutic Targets in Lung Cancer Based on Transcriptomic and Proteomic Characterization of Cancer-Testis Antigens2015Inngår i: Journal of Thoracic Oncology, ISSN 1556-0864, E-ISSN 1556-1380, Vol. 10, nr 9, s. S256-S256Artikkel i tidsskrift (Annet vitenskapelig)
  • 10.
    Djureinovic, Dijana
    et al.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Pontén, Victor
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Landelius, Per
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för kirurgiska vetenskaper, Thoraxkirurgi.
    Al Sayegh, Sahar
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Vaskulärbiologi.
    Kappert, Kai
    Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Institute of Laboratory Medicine, Clinical Chemistry and Pathobiochemistry; Center for Cardiovascular Research (CCR), Berlin, Germany.
    Kamali-Moghaddam, Masood
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Molekylära verktyg.
    Micke, Patrick
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Ståhle, Elisabeth
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för kirurgiska vetenskaper, Thoraxkirurgi.
    Multiplex plasma protein profiling identifies novel markers to discriminate patients with adenocarcinoma of the lung2019Inngår i: BMC Cancer, ISSN 1471-2407, E-ISSN 1471-2407, Vol. 19, artikkel-id 741Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Background:The overall prognosis of non-small cell lung cancer (NSCLC) is poor, and currently only patients with localized disease are potentially curable. Therefore, preferably non-invasively determined biomarkers that detect NSCLC patients at early stages of the disease are of high clinical relevance. The aim of this study was to identify and validate novel protein markers in plasma using the highly sensitive DNA-assisted multiplex proximity extension assay (PEA) to discriminate NSCLC from other lung diseases. 

    Methods:Plasma samples were collected from a total of 343 patients who underwent surgical resection for different lung diseases, including 144 patients with lung adenocarcinoma (LAC),68 patients with non-malignant lung disease, 83 with lung metastasis of colorectal cancers and 48 patients with typical carcinoid. One microliter of plasma was analyzed using PEA, allowing detection and quantification of 92 established cancer related proteins. The concentrations of the plasma proteins were compared between disease groups.

    Results:The comparison between LAC and benign samples revealed significantly different plasma levels for four proteins; CXL17, CEACAM5, VEGFR2 and ERBB3 (adjusted p-value < 0.05). A multi-parameter classifier was developed to discriminate between samples from LAC patients and from patients with non-malignant lung conditions. With a bootstrap aggregated decision tree algorithm (TreeBagger) a sensitivity of 93% and specificity of 64% was achieved to detect LAC in this risk population. 

    Conclusion:By applying the highly sensitive PEA, reliable protein profiles could be determined in microliter amounts of plasma. We further identified proteins that demonstrated different plasma concentration in defined disease groups and developed a signature that holds potential to be included in a screening assay for early lung cancer detection. 

  • 11.
    Edlund, Karolina
    et al.
    TU Dortmund Univ, Leibniz Res Ctr Working Environm & Human Factors, Dortmund, Germany.
    Madjar, Katrin
    TU Dortmund Univ, Dept Stat, Dortmund, Germany.
    Mattsson, Johanna Sofia Margareta
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Djureinovic, Dijana
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Lindskog, Cecilia
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Brunnström, Hans
    Lund Univ, Dept Clin Sci, Div Oncol & Pathol, Lund, Sweden.
    Koyi, Hirsh
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, Centrum för klinisk forskning, Gävleborg. Gävle Cent Hosp, Dept Resp Med, Gävle, Sweden.
    Brandén, Eva
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, Centrum för klinisk forskning, Gävleborg. Gävle Cent Hosp, Dept Resp Med, Gävle, Sweden.
    Jirström, Karin
    Lund Univ, Dept Clin Sci, Div Oncol & Pathol, Lund, Sweden.
    Pontén, Fredrik
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Rahnenführer, Jörg
    TU Dortmund Univ, Dept Stat, Dortmund, Germany.
    Micke, Patrick
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Hengstler, Jan G
    TU Dortmund Univ, Leibniz Res Ctr Working Environm & Human Factors, Dortmund, Germany.
    Prognostic Impact of Tumor Cell Programmed Death Ligand 1 Expression and Immune Cell Infiltration in NSCLC2019Inngår i: Journal of Thoracic Oncology, ISSN 1556-0864, E-ISSN 1556-1380, Vol. 14, nr 4, s. 628-640, artikkel-id S1556-0864(19)30009-7Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Introduction: Infiltration of T and B/plasma cells has been linked to NSCLC prognosis, but this has not been thoroughly investigated in relation to the expression of programmed death ligand 1 (PD-L1). Here, we determine the association of lymphocytes and PD-L1 with overall survival (OS) in two retrospective cohorts of operated NSCLC patients who were not treated with checkpoint inhibitors targeting the programmed death 1/PD-L1 axis. Moreover, we evaluate how PD-L1 positivity and clinicopathologic factors affect the prognostic association of lymphocytes.

    Methods: Cluster of differentiation (CD) 3 (CD3)-, CD8-, CD4-, forkhead box P3 (FOXP3)-, CD20-, CD79A-, and immunoglobulin kappa constant (IGKC)-positive immune cells, and tumor PD-L1 positivity, were determined by immunohistochemistry on tissue microarrays (n = 705). Affymetrix data was analyzed for a patient subset, and supplemented with publicly available transcriptomics data (N = 1724). Associations with OS were assessed by Kaplan-Meier plots and uni- and multivariate Cox regression.

    Results: Higher levels of T and B plasma cells were associated with longer OS (p = 0.004 and p < 0.001, for CD8 and IGKC, respectively). Highly proliferative tumors with few lymphocytes had the worst outcome. No association of PD-L1 positivity with OS was observed in a nonstratified patient population; however, a significant association with shorter OS was observed in never-smokers (p = 0.009 and p = 0.002, 5% and 50% cutoff). Lymphocyte infiltration was not associated with OS in PD-L1–positive tumors (50% cutoff). The prognostic association of lymphocyte infiltration also depended on the patients’ smoking history and histologic subtype.

    Conclusions: Proliferation, PD-L1 status, smoking history, and histology should be considered if lymphocyte infiltration is to be used as a prognostic biomarker.

  • 12. Fagerberg, Linn
    et al.
    Hallström, Björn M
    Oksvold, Per
    Kampf, Caroline
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi.
    Djureinovic, Dijana
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi.
    Odeberg, Jacob
    Habuka, Masato
    Tahmasebpoor, Simin
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi.
    Danielsson, Angelika
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi.
    Edlund, Karolina
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi.
    Asplund, Anna
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi.
    Sjöstedt, Evelina
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi.
    Lundberg, Emma
    Szigyarto, Cristina Al-Khalili
    Skogs, Marie
    Takanen, Jenny Ottosson
    Berling, Holger
    Tegel, Hanna
    Mulder, Jan
    Nilsson, Peter
    Schwenk, Jochen M
    Lindskog, Cecilia
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi.
    Danielsson, Frida
    Mardinoglu, Adil
    Sivertsson, Asa
    von Feilitzen, Kalle
    Forsberg, Mattias
    Zwahlen, Martin
    Olsson, IngMarie
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi.
    Navani, Sanjay
    Huss, Mikael
    Nielsen, Jens
    Pontén, Fredrik
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi.
    Uhlén, Mathias
    Analysis of the human tissue-specific expression by genome-wide integration of transcriptomics and antibody-based proteomics2014Inngår i: Molecular & Cellular Proteomics, ISSN 1535-9476, E-ISSN 1535-9484, Vol. 13, nr 2, s. 397-406Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Global classification of the human proteins with regards to spatial expression patterns across organs and tissues is important for studies of human biology and disease. Here, we used a quantitative transcriptomics analysis (RNA-Seq) to classify the tissue-specific expression of genes across a representative set of all major human organs and tissues and combined this analysis with antibody-based profiling of the same tissues. To present the data, we launch a new version of the Human Protein Atlas that integrates RNA and protein expression data corresponding to ∼80% of the human protein-coding genes with access to the primary data for both the RNA and the protein analysis on an individual gene level. We present a classification of all human protein-coding genes with regards to tissue-specificity and spatial expression pattern. The integrative human expression map can be used as a starting point to explore the molecular constituents of the human body.

  • 13.
    Gremel, Gabriela
    et al.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Molekylär och morfologisk patologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Bergman, Julia
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Molekylär och morfologisk patologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Djureinovic, Dijana
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Molekylär och morfologisk patologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Edqvist, Per-Henrik
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Molekylär och morfologisk patologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Maindad, Vikas
    Bharambe, Bhavana M.
    Khan, Wasif Ali Z. A.
    Navani, Sanjay
    Elebro, Jacob
    Jirstrom, Karin
    Hellberg, Dan
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, Centrum för klinisk forskning Dalarna. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för kvinnors och barns hälsa.
    Uhlen, Mathias
    Micke, Patrick
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Molekylär och morfologisk patologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Pontén, Fredrik
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Molekylär och morfologisk patologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    A systematic analysis of commonly used antibodies in cancer diagnostics2014Inngår i: Histopathology, ISSN 0309-0167, E-ISSN 1365-2559, Vol. 64, nr 2, s. 293-305Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    AimsImmunohistochemistry plays a pivotal role in cancer differential diagnostics. To identify the primary tumour from a metastasis specimen remains a significant challenge, despite the availability of an increasing number of antibodies. The aim of the present study was to provide evidence-based data on the diagnostic power of antibodies used frequently for clinical differential diagnostics. Methods and resultsA tissue microarray cohort comprising 940 tumour samples, of which 502 were metastatic lesions, representing tumours from 18 different organs and four non-localized cancer types, was analysed using immunohistochemistry with 27 well-established antibodies used in clinical differential diagnostics. Few antibodies, e.g. prostate-specific antigen and thyroglobulin, showed a cancer type-related sensitivity and specificity of more than 95%. A majority of the antibodies showed a low degree of sensitivity and specificity for defined cancer types. Combinations of antibodies provided limited added value for differential diagnostics of cancer types. ConclusionsThe results from analysing 27 diagnostic antibodies on consecutive sections of 940 defined tumours provide a unique repository of data that can empower a more optimal use of clinical immunohistochemistry. Our results highlight the benefit of immunohistochemistry and the unmet need for novel markers to improve differential diagnostics of cancer.

  • 14.
    Gremel, Gabriela
    et al.
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi.
    Djureinovic, Dijana
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Niinivirta, Marjut
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Experimentell och klinisk onkologi.
    Laird, Alexander
    Univ Edinburgh, MRC Human Genet Unit, Edinburgh, Midlothian, Scotland.;Univ Edinburgh, Inst Genet & Mol Med, Edinburgh Urol Canc Grp, Edinburgh, Midlothian, Scotland..
    Ljungqvist, Oscar
    Atlas Antibodies AB, Stockholm, Sweden..
    Johannesson, Henrik
    Atlas Antibodies AB, Stockholm, Sweden..
    Bergman, Julia
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Edqvist, Per-Henrik D
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Experimentell och klinisk onkologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Navani, Sanjay
    Lab Surgpath, Bombay, Maharashtra, India..
    Khan, Naila
    Lab Surgpath, Bombay, Maharashtra, India..
    Patil, Tushar
    Lab Surgpath, Bombay, Maharashtra, India..
    Sivertsson, Asa
    Royal Inst Technol, Sci Life Lab, Stockholm, Sweden..
    Uhlen, Mathias
    Royal Inst Technol, Sci Life Lab, Stockholm, Sweden..
    Harrison, David J.
    Univ St Andrews, Sch Med, St Andrews, Fife, Scotland..
    Ullenhag, Gustav
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Experimentell och klinisk onkologi.
    Stewart, Grant D.
    Univ Edinburgh, Inst Genet & Mol Med, Edinburgh Urol Canc Grp, Edinburgh, Midlothian, Scotland.;Univ Cambridge, Addenbrookes Hosp, Acad Urol Grp, Box 43,Cambridge Biomed Campus,Hills Rd, Cambridge CB2 0QQ, England..
    Pontén, Fredrik
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    A systematic search strategy identifies cubilin as independent prognostic marker for renal cell carcinoma2017Inngår i: BMC Cancer, ISSN 1471-2407, E-ISSN 1471-2407, Vol. 17, artikkel-id 9Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Background: There is an unmet clinical need for better prognostic and diagnostic tools for renal cell carcinoma (RCC). Methods: Human Protein Atlas data resources, including the transcriptomes and proteomes of normal and malignant human tissues, were searched for RCC-specific proteins and cubilin (CUBN) identified as a candidate. Patient tissue representing various cancer types was constructed into a tissue microarray (n = 940) and immunohistochemistry used to investigate the specificity of CUBN expression in RCC as compared to other cancers. Two independent RCC cohorts (n = 181; n = 114) were analyzed to further establish the sensitivity of CUBN as RCC-specific marker and to explore if the fraction of RCCs lacking CUBN expression could predict differences in patient survival. Results: CUBN was identified as highly RCC-specific protein with 58% of all primary RCCs staining positive for CUBN using immunohistochemistry. In venous tumor thrombi and metastatic lesions, the frequency of CUBN expression was increasingly lost. Clear cell RCC (ccRCC) patients with CUBN positive tumors had a significantly better prognosis compared to patients with CUBN negative tumors, independent of T-stage, Fuhrman grade and nodal status (HR 0.382, CI 0.203-0.719, P = 0.003). Conclusions: CUBN expression is highly specific to RCC and loss of the protein is significantly and independently associated with poor prognosis. CUBN expression in ccRCC provides a promising positive prognostic indicator for patients with ccRCC. The high specificity of CUBN expression in RCC also suggests a role as a new diagnostic marker in clinical cancer differential diagnostics to confirm or rule out RCC.

  • 15. Grinberg, Marianna
    et al.
    Djureinovic, Dijana
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Brunnström, Hans R R
    Mattsson, Johanna Sofia Margareta
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Edlund, Karolina
    Hengstler, Jan G
    La Fleur, Linnea
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Ekman, Simon
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Experimentell och klinisk onkologi.
    Koyi, Hirsh
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, Centrum för klinisk forskning, Gävleborg.
    Branden, Eva
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, Centrum för klinisk forskning, Gävleborg.
    Ståhle, Elisabeth
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för kirurgiska vetenskaper, Thoraxkirurgi. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, Uppsala kliniska forskningscentrum (UCR).
    Jirström, Karin
    Tracy, Derek K
    Ponten, Fredrik
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Botling, Johan
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Rahnenführer, Jörg
    Micke, Patrick
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Reaching the limits of prognostication in non-small cell lung cancer: an optimized biomarker panel fails to outperform clinical parameters.2017Inngår i: Modern Pathology, ISSN 0893-3952, E-ISSN 1530-0285, Vol. 30, nr 7, s. 964-977Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Numerous protein biomarkers have been analyzed to improve prognostication in non-small cell lung cancer, but have not yet demonstrated sufficient value to be introduced into clinical practice. Here, we aimed to develop and validate a prognostic model for surgically resected non-small cell lung cancer. A biomarker panel was selected based on (1) prognostic association in published literature, (2) prognostic association in gene expression data sets, (3) availability of reliable antibodies, and (4) representation of diverse biological processes. The five selected proteins (MKI67, EZH2, SLC2A1, CADM1, and NKX2-1 alias TTF1) were analyzed by immunohistochemistry on tissue microarrays including tissue from 326 non-small cell lung cancer patients. One score was obtained for each tumor and each protein. The scores were combined, with or without the inclusion of clinical parameters, and the best prognostic model was defined according to the corresponding concordance index (C-index). The best-performing model was subsequently validated in an independent cohort consisting of tissue from 345 non-small cell lung cancer patients. The model based only on protein expression did not perform better compared to clinicopathological parameters, whereas combining protein expression with clinicopathological data resulted in a slightly better prognostic performance (C-index: all non-small cell lung cancer 0.63 vs 0.64; adenocarcinoma: 0.66 vs 0.70, squamous cell carcinoma: 0.57 vs 0.56). However, this modest effect did not translate into a significantly improved accuracy of survival prediction. The combination of a prognostic biomarker panel with clinicopathological parameters did not improve survival prediction in non-small cell lung cancer, questioning the potential of immunohistochemistry-based assessment of protein biomarkers for prognostication in clinical practice.Modern Pathology advance online publication, 10 March 2017; doi:10.1038/modpathol.2017.14.

  • 16.
    Jerhammar, Fredrik
    et al.
    Karolinska Inst, Stockholm, Sweden..
    Bersani, Cinzia
    Karolinska Inst, Stockholm, Sweden..
    Djureinovic, Dijana
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi.
    Micke, Patrick
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi.
    Wiman, Klas G.
    Karolinska Inst, Stockholm, Sweden..
    The role of the p53 target Wig-1 in senescence and cancer2015Inngår i: Cancer Research, ISSN 0008-5472, E-ISSN 1538-7445, Vol. 75, nr 15, s. 110-Artikkel i tidsskrift (Annet vitenskapelig)
  • 17.
    La Fleur, Linnea
    et al.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Boura, Vanessa F.
    Karolinska Inst, Dept Microbiol Tumor & Cell Biol, Stockholm, Sweden.
    Alexeyenko, Andrey
    Karolinska Inst, Dept Microbiol Tumor & Cell Biol, Stockholm, Sweden;Natl Bioinformat Infrastruct Sweden, Sci Life Lab, Solna, Sweden.
    Berglund, Anders
    Epistat, Uppsala, Sweden.
    Ponten, Victor
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Mattsson, Johanna Sofia Margareta
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Djureinovic, Dijana
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Persson, Johan
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Brunnström, Hans
    Lund Univ, Skane Univ Hosp, Div Pathol, Lund, Sweden.
    Isaksson, Johan
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, Centrum för klinisk forskning, Gävleborg.
    Brandén, Eva
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, Centrum för klinisk forskning, Gävleborg. Gavle Cent Hosp, Dept Resp Med, Gavle, Sweden.
    Koyi, Hirsh
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, Centrum för klinisk forskning, Gävleborg. Gavle Cent Hosp, Dept Resp Med, Gavle, Sweden.
    Micke, Patrick
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Karlsson, Mikael C. I.
    Karolinska Inst, Dept Microbiol Tumor & Cell Biol, Stockholm, Sweden.
    Botling, Johan
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Expression of scavenger receptor MARCO defines a targetable tumor-associated macrophage subset in non-small cell lung cancer2018Inngår i: International Journal of Cancer, ISSN 0020-7136, E-ISSN 1097-0215, Vol. 143, nr 7, s. 1741-1752Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Tumor-associated macrophages (TAMs) are attractive targets for immunotherapy. Recently, studies in animal models showed that treatment with an anti-TAM antibody directed against the scavenger receptor MARCO resulted in suppression of tumor growth and metastatic dissemination. Here we investigated the expression of MARCO in relation to other macrophage markers and immune pathways in a non-small cell lung cancer (NSCLC) cohort (n=352). MARCO, CD68, CD163, MSR1 and programmed death ligand-1 (PD-L1) were analyzed by immunohistochemistry and immunofluorescence, and associations to other immune cells and regulatory pathways were studied in a subset of cases (n=199) with available RNA-seq data. We observed a large variation in macrophage density between cases and a strong correlation between CD68 and CD163, suggesting that the majority of TAMs present in NSCLC exhibit a protumor phenotype. Correlation to clinical data only showed a weak trend toward worse survival for patients with high macrophage infiltration. Interestingly, MARCO was expressed on a distinct subpopulation of TAMs, which tended to aggregate in close proximity to tumor cell nests. On the transcriptomic level, we found a positive association between MARCO gene expression and general immune response pathways including strong links to immunosuppressive TAMs, T-cell infiltration and immune checkpoint molecules. Indeed, a higher macrophage infiltration was seen in tumors expressing PD-L1, and macrophages residing within tumor cell nests co-expressed MARCO and PD-L1. Thus, MARCO is a potential new immune target for anti-TAM treatment in a subset of NSCLC patients, possibly in combination with available immune checkpoint inhibitors.

  • 18.
    Mezheyeuski, Artur
    et al.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Experimentell och klinisk onkologi.
    Bergsland, Christian Holst
    Backman, Max
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Djureinovic, Dijana
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Sjöblom, Tobias
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Experimentell och klinisk onkologi.
    Bruun, Jarle
    Micke, Patrick
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Multispectral imaging for quantitative and compartment-specific immune infiltrates reveals distinct immune profiles that classify lung cancer patients.2018Inngår i: Journal of Pathology, ISSN 0022-3417, E-ISSN 1096-9896, Vol. 244, nr 4, s. 421-431Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Semiquantitative assessment of immune markers by immunohistochemistry (IHC) has significant limitations for describing the diversity of the immune response in cancer. Therefore, we evaluated a fluorescence-based multiplexed immunohistochemical method in combination with a multispectral imaging system to quantify immune infiltrates in situ in the environment of non-small-cell lung cancer (NSCLC). A tissue microarray including 57 NSCLC cases was stained with antibodies against CD8, CD20, CD4, FOXP3, CD45RO, and pan-cytokeratin, and immune cells were quantified in epithelial and stromal compartments. The results were compared with those of conventional IHC, and related to corresponding RNA-sequencing (RNAseq) expression values. We found a strong correlation between the visual and digital quantification of lymphocytes for CD45RO (correlation coefficient: r = 0.52), FOXP3 (r = 0.87), CD4 (r = 0.79), CD20 (r = 0.81) and CD8 (r = 0.90) cells. The correlation with RNAseq data for digital quantification (0.35-0.65) was comparable to or better than that for visual quantification (0.38-0.58). Combination of the signals of the five immune markers enabled further subpopulations of lymphocytes to be identified and localized. The specific pattern of immune cell infiltration based either on the spatial distribution (distance between regulatory CD8(+) T and cancer cells) or the relationships of lymphocyte subclasses with each other (e.g. cytotoxic/regulatory cell ratio) were associated with patient prognosis. In conclusion, the fluorescence multiplexed immunohistochemical method, based on only one tissue section, provided reliable quantification and localization of immune cells in cancer tissue. The application of this technique to clinical biopsies can provide a basic characterization of immune infiltrates to guide clinical decisions in the era of immunotherapy.

  • 19.
    Micke, Patrick
    et al.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Johansson, Anna
    Westbom-Fremer, Anna
    Backman, Max
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Djureinovic, Dijana
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Patthey, Annika
    Isaksson-Mettävainio, Martin
    Gulyas, Miklos
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Brunnstrom, Hans
    PD-L1 immunohistochemistry in clinical diagnostics: Inter-pathologist variability is as high as assay variability2017Inngår i: Journal of Clinical Oncology, ISSN 0732-183X, E-ISSN 1527-7755, Vol. 35, nr 15 Suppl., artikkel-id e20637Artikkel i tidsskrift (Annet vitenskapelig)
  • 20.
    Micke, Patrick
    et al.
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Molekylär och morfologisk patologi.
    Mattsson, Johanna Sofia Margareta
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Molekylär och morfologisk patologi.
    Djureinovic, Dijana
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Molekylär och morfologisk patologi.
    Nodin, Björn
    Jirström, Karin
    Tran, Lena
    Jönsson, Per
    Planck, Maria
    Botling, Johan
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Molekylär och morfologisk patologi.
    Brunnström, Hans
    The Impact of the Fourth Edition of the WHO Classification of Lung Tumours on Histological Classification of Resected Pulmonary NSCCs2016Inngår i: Journal of Thoracic Oncology, ISSN 1556-0864, E-ISSN 1556-1380, Vol. 11, nr 6, s. 862-872Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    INTRODUCTION: Histopathological classification of lung cancer is of central importance in the diagnostic routine and guides therapy in the majority of patients. The 4(th) edition of the WHO classification was recently published and includes changes to the diagnostic procedure of non-small cell carcinomas (NSCC) with more emphasis on immunohistochemical (IHC) staining.

    METHODS: 656 unselective cases of resected pulmonary NSCC were diagnosed according to the 2004 WHO classification. After IHC staining with cytokeratin 5, p40, p63, thyroid transcription factor 1 (clones 8G7G3/1 and SPT24) and napsin A the diagnoses were revised in accordance with the new 4(th) edition of the WHO classification.

    RESULTS: Reclassification led to a new histological annotation in 36 (5%) of the 656 cases. Most notable was the decrease of cases previously classified as large cell carcinomas (56 vs. 12 cases). This was partially due to the exclusion of 21 neuroendocrine tumors from this group, while 20 cases were ascribed to the group of adenocarcinoma based on IHC markers. Only 7 cases of adenocarcinoma or squamous cell carcinoma were reclassified after the addition of IHC staining. There was a substantial overlap in staining properties between different markers of squamous and adenocarcinomatous differentiation, respectively, but in 17-31 cases (3-5%) the diagnosis depended on the choice of markers.

    CONCLUSIONS: The 4(th) edition of the WHO classification of lung tumours leads to changes of histological type in 5% of resected NSCC cases. The incorporation of IHC staining in NSCC diagnostics demands awareness that the choice of ancillary stains has an effect on diagnosis.

  • 21.
    Miyashita, Naoya
    et al.
    Univ Tokyo, Grad Sch Med, Dept Resp Med, Tokyo, Japan.
    Horie, Masafumi
    Univ Tokyo, Grad Sch Med, Dept Resp Med, Tokyo, Japan;Univ Southern Calif, Hastings Ctr Pulm Res, Div Pulm Crit Care & Sleep Med, Dept Med,Keck Sch Med, Los Angeles, CA USA;RIKEN Ctr Life Sci Technol, Div Genom Technol, Yokohama, Kanagawa, Japan.
    Suzuki, Hiroshi I.
    MIT, David H Koch Inst Integrat Canc Res, 77 Massachusetts Ave, Cambridge, MA 02139 USA.
    Yoshihara, Masahito
    RIKEN Ctr Life Sci Technol, Div Genom Technol, Yokohama, Kanagawa, Japan.
    Djureinovic, Dijana
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Persson, Johan
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi.
    Brunnstrom, Hans
    Lund Univ, Lab Med Reg Skane, Dept Clin Sci Lund, Pathol, Lund, Sweden.
    Lindskog, Cecilia
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Elfving, Hedvig
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Micke, Patrick
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Saito, Akira
    Univ Tokyo, Grad Sch Med, Dept Resp Med, Tokyo, Japan;Univ Tokyo, Div Hlth Serv Promot, Tokyo, Japan.
    Nagase, Takahide
    Univ Tokyo, Grad Sch Med, Dept Resp Med, Tokyo, Japan.
    An Integrative Analysis of Transcriptome and Epigenome Features of ASCL1-Positive Lung Adenocarcinomas2018Inngår i: Journal of Thoracic Oncology, ISSN 1556-0864, E-ISSN 1556-1380, Vol. 13, nr 11, s. 1676-1691Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Introduction: A subgroup of lung adenocarcinoma shows neuroendocrine differentiation and expression of achaete-scute family bHLH transcription factor 1 (ASCL1), common to high-grade neuroendocrine tumors, small-cell lung cancer and large cell neuroendocrine carcinoma. Methods: The aim of this study was to characterize clinical and molecular features of ASCL1-positive lung adenocarcinoma by using recent transcriptome profiling in multiple patient cohorts and genome-wide epigenetic profiling including data from The Cancer Genome Atlas. Results: The ASCL1-positive subtype of lung adenocarcinoma developed preferentially in current or former smokers and usually did not harbor EGFR mutations. In transcriptome profiling, this subtype overlapped with the recently proposed proximal-proliferative molecular subtype. Gene expression profiling of ASCL1-positive cases suggested generally poor immune cell infiltration and none of the tumors were positive for programmed cell death ligand 1 protein expression. Genome-wide methylation analysis showed global DNA hypomethylation in ASCL1-positive cases. ASCL1 was associated with super-enhancers in ASCL1-positive lung adenocarcinoma cells, and ASCL1 silencing suppressed other super-enhancer-associated genes, suggesting thatASCL1 acts as a master transcriptional regulator. This was further reinforced by the essential roles of ASCL1 in cell proliferation, survival, and cell cycle control. Conclusions: These results suggest that ASCL1 defines a subgroup of lung adenocarcinoma with distinct molecular features by driving super-enhancer-mediated transcriptional programs.

  • 22. Uhlen, Mathias
    et al.
    Fagerberg, Linn
    Hallstroem, Bjoern M.
    Lindskog, Cecilia
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi.
    Oksvold, Per
    Mardinoglu, Adil
    Sivertsson, Asa
    Kampf, Caroline
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Molekylär och morfologisk patologi.
    Sjöstedt, Evelina
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Molekylär och morfologisk patologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Asplund, Anna
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Molekylär och morfologisk patologi.
    Olsson, IngMarie
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Molekylär och morfologisk patologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Edlund, Karolina
    Lundberg, Emma
    Navani, Sanjay
    Szigyarto, Cristina Al-Khalili
    Odeberg, Jacob
    Djureinovic, Dijana
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Molekylär och morfologisk patologi.
    Takanen, Jenny Ottosson
    Hober, Sophia
    Alm, Tove
    Edqvist, Per-Henrik
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Molekylär och morfologisk patologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab.
    Berling, Holger
    Tegel, Hanna
    Mulder, Jan
    Rockberg, Johan
    Nilsson, Peter
    Schwenk, Jochen M.
    Hamsten, Marica
    von Feilitzen, Kalle
    Forsberg, Mattias
    Persson, Lukas
    Johansson, Fredric
    Zwahlen, Martin
    von Heijne, Gunnar
    Nielsen, Jens
    Pontén, Fredrik
    Uppsala universitet, Science for Life Laboratory, SciLifeLab. Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Molekylär och morfologisk patologi.
    Tissue-based map of the human proteome2015Inngår i: Science, ISSN 0036-8075, E-ISSN 1095-9203, Vol. 347, nr 6220, s. 394-+Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Resolving the molecular details of proteome variation in the different tissues and organs of the human body will greatly increase our knowledge of human biology and disease. Here, we present a map of the human tissue proteome based on an integrated omics approach that involves quantitative transcriptomics at the tissue and organ level, combined with tissue microarray-based immunohistochemistry, to achieve spatial localization of proteins down to the single-cell level. Our tissue-based analysis detected more than 90% of the putative protein-coding genes. We used this approach to explore the human secretome, the membrane proteome, the druggable proteome, the cancer proteome, and the metabolic functions in 32 different tissues and organs. All the data are integrated in an interactive Web-based database that allows exploration of individual proteins, as well as navigation of global expression patterns, in all major tissues and organs in the human body.

  • 23.
    Uhlen, Mathias
    et al.
    KTH, Royal Inst Technol, Sci Life Lab, Stockholm, Sweden.;Danish Tech Univ, Ctr Biosustainabil, Copenhagen, Denmark.;Royal Inst Technol, AlbaNova Univ Ctr, KTH, Sch Biotechnol, Stockholm, Sweden..
    Zhang, Cheng
    KTH, Royal Inst Technol, Sci Life Lab, Stockholm, Sweden..
    Lee, Sunjae
    KTH, Royal Inst Technol, Sci Life Lab, Stockholm, Sweden..
    Sjöstedt, Evelina
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi. KTH, Royal Inst Technol, Sci Life Lab, Stockholm, Sweden.
    Fagerberg, Linn
    KTH, Royal Inst Technol, Sci Life Lab, Stockholm, Sweden..
    Bidkhori, Gholamreza
    KTH, Royal Inst Technol, Sci Life Lab, Stockholm, Sweden..
    Benfeitas, Rui
    KTH, Royal Inst Technol, Sci Life Lab, Stockholm, Sweden..
    Arif, Muhammad
    KTH, Royal Inst Technol, Sci Life Lab, Stockholm, Sweden..
    Liu, Zhengtao
    KTH, Royal Inst Technol, Sci Life Lab, Stockholm, Sweden..
    Edfors, Fredrik
    KTH, Royal Inst Technol, Sci Life Lab, Stockholm, Sweden..
    Sanli, Kemal
    KTH, Royal Inst Technol, Sci Life Lab, Stockholm, Sweden..
    von Feilitzen, Kalle
    KTH, Royal Inst Technol, Sci Life Lab, Stockholm, Sweden..
    Oksvold, Per
    KTH, Royal Inst Technol, Sci Life Lab, Stockholm, Sweden..
    Lundberg, Emma
    KTH, Royal Inst Technol, Sci Life Lab, Stockholm, Sweden..
    Hober, Sophia
    Royal Inst Technol, AlbaNova Univ Ctr, KTH, Sch Biotechnol, Stockholm, Sweden..
    Nilsson, Peter
    KTH, Royal Inst Technol, Sci Life Lab, Stockholm, Sweden..
    Mattsson, Johanna Sofia Margareta
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Schwenk, Jochen M.
    KTH, Royal Inst Technol, Sci Life Lab, Stockholm, Sweden..
    Brunnström, Hans
    Lund Univ, Skane Univ Hosp, Div Pathol, Lund, Sweden..
    Glimelius, Bengt
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Experimentell och klinisk onkologi.
    Sjöblom, Tobias
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Experimentell och klinisk onkologi.
    Edqvist, Per-Henrik D
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Experimentell och klinisk onkologi.
    Djureinovic, Dijana
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Micke, Patrick
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Lindskog, Cecilia
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    Mardinoglu, Adil
    KTH, Royal Inst Technol, Sci Life Lab, Stockholm, Sweden.;Royal Inst Technol, AlbaNova Univ Ctr, KTH, Sch Biotechnol, Stockholm, Sweden.;Chalmers, Dept Biol & Biol Engn, SE-41296 Gothenburg, Sweden..
    Ponten, Fredrik
    Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Klinisk och experimentell patologi.
    A pathology atlas of the human cancer transcriptome2017Inngår i: Science, ISSN 0036-8075, E-ISSN 1095-9203, Vol. 357, nr 6352, artikkel-id eaan2507Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Cancer is one of the leading causes of death, and there is great interest in understanding the underlying molecular mechanisms involved in the pathogenesis and progression of individual tumors. We used systems-level approaches to analyze the genome-wide transcriptome of the protein-coding genes of 17 major cancer types with respect to clinical outcome. A general pattern emerged: Shorter patient survival was associated with up-regulation of genes involved in cell growth and with down-regulation of genes involved in cellular differentiation. Using genome-scale metabolic models, we show that cancer patients have widespread metabolic heterogeneity, highlighting the need for precise and personalized medicine for cancer treatment. All data are presented in an interactive open-access database (www.proteinatlas.org/pathology) to allow genome-wide exploration of the impact of individual proteins on clinical outcomes.

1 - 23 of 23
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