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ORIGINAL RESEARCH article
Front. Immunol.
Sec. Cancer Immunity and Immunotherapy
Volume 15 - 2024 |
doi: 10.3389/fimmu.2024.1504220
High density of TCF1+ stem-like tumor-infiltrating lymphocytes is associated with favorable disease-specific survival in NSCLC Authors and affiliations
Provisionally accepted- 1 UiT The Arctic University of Norway, Tromsø, Norway
- 2 University Hospital of North Norway, Tromsø, Troms, Norway
- 3 Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
Tumor-infiltrating lymphocytes are both prognostic and predictive biomarkers for immunotherapy response. However, less is known about the survival benefits of their subpopulations. Using machine learning models, we assessed the clinical association of the CD8+, PD1+, TCF1+ cell subset by multiplex immunohistochemistry using tissue microarrays in 553 non-small cell lung cancer (NSCLC) patients and its correlation with other immune cell biomarkers. We observed positive correlations between TCF1 and CD20 (r=0.37), CD3 (r=0.45) and CD4 (r=0.33). Notably, triple positive (CD8+PD1+TCF1+) were rare, only observed in 29 of 553 patients (5%). Our analysis revealed that cells co-expressing TCF1 with either CD8+ or PD1+ were independent prognostic markers of diseasespecific survival in multivariable analysis (HR=0.728, p=0.029 for CD8+TCF1+, and HR=0.612, p=0.002 for PD1+TCF1+). To pilot the subtype of abundant CD8-TCF1+ cells, we explored an immune cell infiltrated whole slide-image and found the majority to be CD4+. Overall, these findings suggest that assessment of CD8+, PD1+, TCF1+ could serve as a potential prognostic biomarker in NSCLC.
Keywords: NSCLC, digital pathology, CD8, PD1, TCF1, machine learning
Received: 30 Sep 2024; Accepted: 02 Dec 2024.
Copyright: © 2024 Førde, Kilvær, Pedersen, Blix, Urbarova, Paulsen, Rakaee, Busund, Donnem and Andersen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Dagny Førde, UiT The Arctic University of Norway, Tromsø, Norway
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