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Image analysis reveals molecularly distinct patterns of TILs in NSCLC associated with treatment outcome
Despite known histological, biological, and clinical differences between lung adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC), relatively little is known about the spatial differences in their corresponding immune contextures. Our study of over 1000 LUAD and LUSC tumors revealed that comput...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9166700/ https://www.ncbi.nlm.nih.gov/pubmed/35661148 http://dx.doi.org/10.1038/s41698-022-00277-5 |
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author | Ding, Ruiwen Prasanna, Prateek Corredor, Germán Barrera, Cristian Zens, Philipp Lu, Cheng Velu, Priya Leo, Patrick Beig, Niha Li, Haojia Toro, Paula Berezowska, Sabina Baxi, Vipul Balli, David Belete, Merzu Rimm, David L. Velcheti, Vamsidhar Schalper, Kurt Madabhushi, Anant |
author_facet | Ding, Ruiwen Prasanna, Prateek Corredor, Germán Barrera, Cristian Zens, Philipp Lu, Cheng Velu, Priya Leo, Patrick Beig, Niha Li, Haojia Toro, Paula Berezowska, Sabina Baxi, Vipul Balli, David Belete, Merzu Rimm, David L. Velcheti, Vamsidhar Schalper, Kurt Madabhushi, Anant |
author_sort | Ding, Ruiwen |
collection | PubMed |
description | Despite known histological, biological, and clinical differences between lung adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC), relatively little is known about the spatial differences in their corresponding immune contextures. Our study of over 1000 LUAD and LUSC tumors revealed that computationally derived patterns of tumor-infiltrating lymphocytes (TILs) on H&E images were different between LUAD (N = 421) and LUSC (N = 438), with TIL density being prognostic of overall survival in LUAD and spatial arrangement being more prognostically relevant in LUSC. In addition, the LUAD-specific TIL signature was associated with OS in an external validation set of 100 NSCLC treated with more than six different neoadjuvant chemotherapy regimens, and predictive of response to therapy in the clinical trial CA209-057 (n = 303). In LUAD, the prognostic TIL signature was primarily comprised of CD4(+) T and CD8(+) T cells, whereas in LUSC, the immune patterns were comprised of CD4(+) T, CD8(+) T, and CD20(+) B cells. In both subtypes, prognostic TIL features were associated with transcriptomics-derived immune scores and biological pathways implicated in immune recognition, response, and evasion. Our results suggest the need for histologic subtype-specific TIL-based models for stratifying survival risk and predicting response to therapy. Our findings suggest that predictive models for response to therapy will need to account for the unique morphologic and molecular immune patterns as a function of histologic subtype of NSCLC. |
format | Online Article Text |
id | pubmed-9166700 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-91667002022-06-05 Image analysis reveals molecularly distinct patterns of TILs in NSCLC associated with treatment outcome Ding, Ruiwen Prasanna, Prateek Corredor, Germán Barrera, Cristian Zens, Philipp Lu, Cheng Velu, Priya Leo, Patrick Beig, Niha Li, Haojia Toro, Paula Berezowska, Sabina Baxi, Vipul Balli, David Belete, Merzu Rimm, David L. Velcheti, Vamsidhar Schalper, Kurt Madabhushi, Anant NPJ Precis Oncol Article Despite known histological, biological, and clinical differences between lung adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC), relatively little is known about the spatial differences in their corresponding immune contextures. Our study of over 1000 LUAD and LUSC tumors revealed that computationally derived patterns of tumor-infiltrating lymphocytes (TILs) on H&E images were different between LUAD (N = 421) and LUSC (N = 438), with TIL density being prognostic of overall survival in LUAD and spatial arrangement being more prognostically relevant in LUSC. In addition, the LUAD-specific TIL signature was associated with OS in an external validation set of 100 NSCLC treated with more than six different neoadjuvant chemotherapy regimens, and predictive of response to therapy in the clinical trial CA209-057 (n = 303). In LUAD, the prognostic TIL signature was primarily comprised of CD4(+) T and CD8(+) T cells, whereas in LUSC, the immune patterns were comprised of CD4(+) T, CD8(+) T, and CD20(+) B cells. In both subtypes, prognostic TIL features were associated with transcriptomics-derived immune scores and biological pathways implicated in immune recognition, response, and evasion. Our results suggest the need for histologic subtype-specific TIL-based models for stratifying survival risk and predicting response to therapy. Our findings suggest that predictive models for response to therapy will need to account for the unique morphologic and molecular immune patterns as a function of histologic subtype of NSCLC. Nature Publishing Group UK 2022-06-03 /pmc/articles/PMC9166700/ /pubmed/35661148 http://dx.doi.org/10.1038/s41698-022-00277-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Ding, Ruiwen Prasanna, Prateek Corredor, Germán Barrera, Cristian Zens, Philipp Lu, Cheng Velu, Priya Leo, Patrick Beig, Niha Li, Haojia Toro, Paula Berezowska, Sabina Baxi, Vipul Balli, David Belete, Merzu Rimm, David L. Velcheti, Vamsidhar Schalper, Kurt Madabhushi, Anant Image analysis reveals molecularly distinct patterns of TILs in NSCLC associated with treatment outcome |
title | Image analysis reveals molecularly distinct patterns of TILs in NSCLC associated with treatment outcome |
title_full | Image analysis reveals molecularly distinct patterns of TILs in NSCLC associated with treatment outcome |
title_fullStr | Image analysis reveals molecularly distinct patterns of TILs in NSCLC associated with treatment outcome |
title_full_unstemmed | Image analysis reveals molecularly distinct patterns of TILs in NSCLC associated with treatment outcome |
title_short | Image analysis reveals molecularly distinct patterns of TILs in NSCLC associated with treatment outcome |
title_sort | image analysis reveals molecularly distinct patterns of tils in nsclc associated with treatment outcome |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9166700/ https://www.ncbi.nlm.nih.gov/pubmed/35661148 http://dx.doi.org/10.1038/s41698-022-00277-5 |
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