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Immune-Proteome Profiling in Classical Hodgkin Lymphoma Tumor Diagnostic Tissue
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Experimental and Clinical Oncology.ORCID iD: 0000-0002-3393-1106
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Clinical and experimental pathology.ORCID iD: 0000-0002-0226-5681
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology, Molecular tools. Uppsala University, Science for Life Laboratory, SciLifeLab.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Clinical Chemistry.
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2022 (English)In: Cancers, ISSN 2072-6694, Vol. 14, no 1Article in journal (Refereed) Published
Abstract [en]

In classical Hodgkin Lymphoma (cHL), immunoediting via protein signaling is key to evading tumor surveillance. We aimed to identify immune-related proteins that distinguish diagnostic cHL tissues (=diagnostic tumor lysates, n = 27) from control tissues (reactive lymph node lysates, n = 30). Further, we correlated our findings with the proteome plasma profile between cHL patients (n = 26) and healthy controls (n = 27). We used the proximity extension assay (PEA) with the OlinkTM multiplex Immuno-Oncology panel, consisting of 92 proteins. Univariate, multivariate-adjusted analysis and Benjamini–Hochberg’s false discovery testing (=Padj) were performed to detect significant discrepancies. Proteins distinguishing cHL cases from controls were more numerous in plasma (30 proteins) than tissue (17 proteins), all Padj < 0.05. Eight of the identified proteins in cHL tissue (PD-L1, IL-6, CCL17, CCL3, IL-13, MMP12, TNFRS4, and LAG3) were elevated in both cHL tissues and cHL plasma compared with control samples. Six proteins distinguishing cHL tissues from controls tissues were significantly correlated to PD-L1 expression in cHL tissue (IL-6, MCP-2, CCL3, CCL4, GZMB, and IFN-gamma, all p ≤0.05). In conclusion, this study introduces a distinguishing proteomic profile in cHL tissue and potential immune-related markers of pathophysiological relevance

Place, publisher, year, edition, pages
MDPI, 2022. Vol. 14, no 1
Keywords [en]
Hodgkin lymphoma; proteomics; proximity assays; tumor microenvironment; PD-L1; LAG3 CCL17; biomarkers; Immunology
National Category
Cancer and Oncology
Identifiers
URN: urn:nbn:se:uu:diva-455820DOI: 10.3390/cancers14010009ISI: 000748185400001PubMedID: 35008176OAI: oai:DiVA.org:uu-455820DiVA, id: diva2:1602182
Available from: 2021-10-11 Created: 2021-10-11 Last updated: 2022-02-21Bibliographically approved
In thesis
1. Immunologic Markers in the Tumor Microenvironment of Classical Hodgkin Lymphoma
Open this publication in new window or tab >>Immunologic Markers in the Tumor Microenvironment of Classical Hodgkin Lymphoma
2021 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

In classical Hodgkin lymphoma (cHL), cytokine regulation and cellular composition of the tumor microenvironment (TME) is crucial for tumor cell survival. In paper I, we examined the presence of CD138+ plasma cells and IgG4+ plasma cells in diagnostic cHL biopsies with immunohistochemistry (IHC). We found that increasing proportions of CD138+ plasma cells in the TME were associated with B-symptoms and inferior survival. IgG4+ plasma cells in the TME were a rare finding. In paper II, we investigated IL-6+ leukocytes and IL-6+ Hodgkin-Reed-Sternberg (HRS) cells in the TME of primary cHL. We observed that an IL-6+ leukocyte proportion of ≤ 1% in the TME was an independent adverse prognostic marker for event-free and overall survival. Further, the presence of IL-6+ leukocytes correlated with an increased proportion of CD138+ plasma cells and CD68+macrophages in the TME. IL-6+ HRS cells correlated with increased proportions of CD68+macrophages, PD-L1+ leukocytes, and PD-L1+HRS cells. In paper III, we investigated CD47 surface glycoprotein expression on HRS cells in the TME. CD47 is mainly known to promote antiphagocytic signaling via interaction with the SIRPa protein on phagocytic cells. IHC for CD47 was performed on diagnostic cHL biopsies. Cases with high CD47 expression on HRS cells had an inferior survival in univariate and multivariate analyses, adjusting for established prognostic factors compared with patients with low CD47 expression on HRS cells. In paper IV, using the Proximity Extension Assay (PEA) method, we identified 17 distinguishing immunologic proteins in cHL when comparing cHL diagnostic tissue lysates with reactive lymph node lysates from controls. In addition, 8 of these 17 proteins were elevated in cHL plasma compared with plasma from controls. Several of the identified proteins have established evidence in cHL as PD-L1, IL-6, CCL17, LAG3, and several proteins were introduced as new potential targets. In conclusion, our findings increase our knowledge regarding several immunological elements within the TME of cHL introducing clinicopathological associations of prognostic and potential therapeutic future implications. 

 

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2021. p. 64
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Medicine, ISSN 1651-6206 ; 1776
Keywords
Tumor microenvironment, immunohistochemistry, immune checkpoints, Plasma cells, IL-6 cytokine, Proteomics, CD47. 
National Category
Cancer and Oncology
Identifiers
urn:nbn:se:uu:diva-455817 (URN)978-91-513-1314-6 (ISBN)
Public defence
2021-12-03, Martin H:son Holmdahl-salen,, Akademiska Sjukhuset, ingång 100, 13:00 (English)
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Available from: 2021-11-09 Created: 2021-10-13 Last updated: 2021-12-29

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Gholiha, Alex R.Hollander, PeterLöf, LizaHashemi, JamilehMattson Ulfstedt, JohanMolin, DanielAmini, Rose-MarieFreyhult, EvaKamali-Moghaddam, MasoodEnblad, Gunilla

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Gholiha, Alex R.Hollander, PeterLöf, LizaHashemi, JamilehMattson Ulfstedt, JohanMolin, DanielAmini, Rose-MarieFreyhult, EvaKamali-Moghaddam, MasoodEnblad, Gunilla
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Experimental and Clinical OncologyClinical and experimental pathologyMolecular toolsScience for Life Laboratory, SciLifeLabClinical ChemistryDepartment of MathematicsCancer Pharmacology and Computational MedicineDepartment of Medical Sciences
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