Logo: to the web site of Uppsala University

uu.sePublications from Uppsala University
System disruptions
There are recurring service disruptions on some of the search portals due to high traffic. We are working to resolve the issue, you may temporarily encounter an error message.
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Tumor Heterogeneity Confounds Lymphocyte Metrics in Diagnostic Lung Cancer Biopsies
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology.ORCID iD: 0000-0001-8482-2674
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology.ORCID iD: 0000-0002-5294-7808
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Immunology, Genetics and Pathology.
Show others and affiliations
2024 (English)In: Archives of Pathology & Laboratory Medicine, ISSN 0003-9985, E-ISSN 1543-2165, Vol. 148, no 1, p. e18-e24Article in journal (Refereed) Published
Abstract [en]

Context.—The immune microenvironment is involved in fundamental aspects of tumorigenesis, and immune scores are now being developed for clinical diagnostics. Objective.—To evaluate how well small diagnostic biopsies and tissue microarrays (TMAs) reflect immune cell infiltration compared to the whole tumor slide, in tissue from patients with non–small cell lung cancer. Design.—A TMA was constructed comprising tissue from surgical resection specimens of 58 patients with non–small cell lung cancer, with available preoperative biopsy material. Whole sections, biopsies, and TMA were stained for the pan-T lymphocyte marker CD3 to determine densities of tumor-infiltrating lymphocytes. Immune cell infiltration was assessed semiquantitatively as well as objectively with a microscopic grid count. For 19 of the cases, RNA sequencing data were available. Results.—The semiquantitative comparison of immune cell infiltration between the whole section and the biopsy displayed fair agreement (intraclass correlation coefficient [ICC], 0.29; P ¼ .01; CI, 0.03–0.51). In contrast, the TMA showed substantial agreement compared with the whole slide (ICC, 0.64; P , .001; CI, 0.39–0.79). The grid-based method did not enhance the agreement between the different tissue materials. The comparison of CD3 RNA sequencing data with CD3 cell annotations confirmed the poor representativity of biopsies as well as the stronger correlation for the TMA cores. Conclusions.—Although overall lymphocyte infiltration is relatively well represented on TMAs, the representativity in diagnostic lung cancer biopsies is poor. This finding challenges the concept of using biopsies to establish immune scores as prognostic or predictive biomarkers for diagnostic applications.

Place, publisher, year, edition, pages
Archives of Pathology and Laboratory Medicine , 2024. Vol. 148, no 1, p. e18-e24
Keywords [en]
lung cancer, immunotherapy, checkpoint inhibitors, tumor microenvironment, prognosis, PD-L1, lymphocytes
National Category
Cancer and Oncology
Identifiers
URN: urn:nbn:se:uu:diva-517148DOI: 10.5858/arpa.2022-0327-oaISI: 001137617500012OAI: oai:DiVA.org:uu-517148DiVA, id: diva2:1816847
Available from: 2023-12-04 Created: 2023-12-04 Last updated: 2024-02-21Bibliographically approved
In thesis
1. Improving the diagnostic armamentarium of lung cancer
Open this publication in new window or tab >>Improving the diagnostic armamentarium of lung cancer
2024 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Lung cancer is the leading cause of cancer-related death globally, with non-small cell lung cancer (NSCLC) constituting 85% of cases. The introduction of immunotherapies and targeted therapies have dramatically improved the prognosis and outcome for a subset of patients, and stressed the development of diagnostic tools for effective patient selection. This thesis addresses different aspects of current and future diagnostic strategies in NSCLC patients.

In Paper I, an immunohistochemical assay targeting the neurotropic tropomyosin receptor kinase (NTRK) was evaluated on tissue microarrays (TMAs) from a well-characterized NSCLC cohort. Although a few cases showed positive staining, none were positive in the reference molecular testing, highlighting the rarity of this targetable aberration and underscoring the value of cost-effective screening methods.

In Paper II, paired patient samples (biopsy, TMA, and surgical specimen) were evaluated regarding the immunohistochemical staining for PD-L1. The results indicated a strong correlation between the PD-L1 expression on biopsy and TMA compared with the tumor whole slide, suggesting that tumor heterogeneity has minor relevance for PD-L1 evaluation.

In Paper III, paired tissue samples (biopsy, TMA, and surgical specimen) were evaluated regarding infiltrating CD3+ immune cells. Only weak correlation was found between the biopsies and tumor whole slide, while the agreement between the whole slide and TMA was higher. These results question the use of biopsies for immune cell quantification, while supporting the TMA as a reliable tool in cancer research.

In Paper IV, the amount and distribution of tertiary lymphoid structures (TLS) was annotated on scanned tumor whole slides. TLS were present in most of the tumors and correlated with the abundance of specific immune cell subsets. Higher number of TLS were associated with longer survival, particularly in adenocarcinomas. High tumor mutational burden was associated with higher numbers of periphery TLS. These results provide a rationale for using TLS metrics as a diagnostic marker for NSCLC patients undergoing surgical resection.

In summary, this thesis addresses challenges in prognostic and predictive lung cancer diagnostics in the areas of targeted therapy and immunotherapy. The results provide crucial insights into tumor heterogeneity that may impact clinical decision-making and aid scientists in selecting appropriate tissue sources for translational and clinical cancer research.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2024. p. 48
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Medicine, ISSN 1651-6206 ; 2000
Keywords
lung cancer, tissue microarray, immunohistochemistry, targeted therapy, immunotherapy, checkpoint inhibitors, immune microenvironment, prognosis, biomarkers, immune cells.
National Category
Cancer and Oncology
Identifiers
urn:nbn:se:uu:diva-517163 (URN)978-91-513-1984-1 (ISBN)
Public defence
2024-02-02, Rudbecksalen, Rudbecklaboratoriet, Dag Hammasjölds väg 20, Uppsala, 09:15 (English)
Opponent
Supervisors
Available from: 2024-01-11 Created: 2023-12-04 Last updated: 2024-01-11

Open Access in DiVA

fulltext(1093 kB)381 downloads
File information
File name FULLTEXT01.pdfFile size 1093 kBChecksum SHA-512
3a81ae46e76e75599fbc494c308aa110d609390f6d5f296744eebdef53c8bc7adbff51ae155e8c533d1e9d3879213b5826d3cab9c52083f7580953ca436d5c79
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Authority records

Elfving, HedvigThurfjell, ViktoriaMattsson, Johanna Sofia MargaretaBackman, MaxStrell, CarinaMicke, Patrick

Search in DiVA

By author/editor
Elfving, HedvigThurfjell, ViktoriaMattsson, Johanna Sofia MargaretaBackman, MaxStrell, CarinaMicke, Patrick
By organisation
Department of Immunology, Genetics and Pathology
In the same journal
Archives of Pathology & Laboratory Medicine
Cancer and Oncology

Search outside of DiVA

GoogleGoogle Scholar
Total: 382 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 546 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf