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Global analysis of shared T cell specificities in human non-small cell lung cancer enables HLA inference and antigen discovery

To identify disease-relevant T cell receptors (TCRs) with shared antigen specificity, we analyzed 778,938 TCRβ chain sequences from 178 non-small cell lung cancer patients using the GLIPH2 (grouping of lymphocyte interactions with paratope hotspots 2) algorithm. We identified over 66,000 shared spec...

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Autores principales: Chiou, Shin-Heng, Tseng, Diane, Reuben, Alexandre, Mallajosyula, Vamsee, Molina, Irene S., Conley, Stephanie, Wilhelmy, Julie, McSween, Alana M., Yang, Xinbo, Nishimiya, Daisuke, Sinha, Rahul, Nabet, Barzin Y., Wang, Chunlin, Shrager, Joseph B., Berry, Mark F., Backhus, Leah, Lui, Natalie S., Wakelee, Heather A., Neal, Joel W., Padda, Sukhmani K., Berry, Gerald J., Delaidelli, Alberto, Sorensen, Poul H., Sotillo, Elena, Tran, Patrick, Benson, Jalen A., Richards, Rebecca, Labanieh, Louai, Klysz, Dorota D., Louis, David M., Feldman, Steven A., Diehn, Maximilian, Weissman, Irving L., Zhang, Jianjun, Wistuba, Ignacio I., Futreal, P. Andrew, Heymach, John V., Garcia, K. Christopher, Mackall, Crystal L., Davis, Mark M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cell Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7960510/
https://www.ncbi.nlm.nih.gov/pubmed/33691136
http://dx.doi.org/10.1016/j.immuni.2021.02.014
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author Chiou, Shin-Heng
Tseng, Diane
Reuben, Alexandre
Mallajosyula, Vamsee
Molina, Irene S.
Conley, Stephanie
Wilhelmy, Julie
McSween, Alana M.
Yang, Xinbo
Nishimiya, Daisuke
Sinha, Rahul
Nabet, Barzin Y.
Wang, Chunlin
Shrager, Joseph B.
Berry, Mark F.
Backhus, Leah
Lui, Natalie S.
Wakelee, Heather A.
Neal, Joel W.
Padda, Sukhmani K.
Berry, Gerald J.
Delaidelli, Alberto
Sorensen, Poul H.
Sotillo, Elena
Tran, Patrick
Benson, Jalen A.
Richards, Rebecca
Labanieh, Louai
Klysz, Dorota D.
Louis, David M.
Feldman, Steven A.
Diehn, Maximilian
Weissman, Irving L.
Zhang, Jianjun
Wistuba, Ignacio I.
Futreal, P. Andrew
Heymach, John V.
Garcia, K. Christopher
Mackall, Crystal L.
Davis, Mark M.
author_facet Chiou, Shin-Heng
Tseng, Diane
Reuben, Alexandre
Mallajosyula, Vamsee
Molina, Irene S.
Conley, Stephanie
Wilhelmy, Julie
McSween, Alana M.
Yang, Xinbo
Nishimiya, Daisuke
Sinha, Rahul
Nabet, Barzin Y.
Wang, Chunlin
Shrager, Joseph B.
Berry, Mark F.
Backhus, Leah
Lui, Natalie S.
Wakelee, Heather A.
Neal, Joel W.
Padda, Sukhmani K.
Berry, Gerald J.
Delaidelli, Alberto
Sorensen, Poul H.
Sotillo, Elena
Tran, Patrick
Benson, Jalen A.
Richards, Rebecca
Labanieh, Louai
Klysz, Dorota D.
Louis, David M.
Feldman, Steven A.
Diehn, Maximilian
Weissman, Irving L.
Zhang, Jianjun
Wistuba, Ignacio I.
Futreal, P. Andrew
Heymach, John V.
Garcia, K. Christopher
Mackall, Crystal L.
Davis, Mark M.
author_sort Chiou, Shin-Heng
collection PubMed
description To identify disease-relevant T cell receptors (TCRs) with shared antigen specificity, we analyzed 778,938 TCRβ chain sequences from 178 non-small cell lung cancer patients using the GLIPH2 (grouping of lymphocyte interactions with paratope hotspots 2) algorithm. We identified over 66,000 shared specificity groups, of which 435 were clonally expanded and enriched in tumors compared to adjacent lung. The antigenic epitopes of one such tumor-enriched specificity group were identified using a yeast peptide-HLA A(∗)02:01 display library. These included a peptide from the epithelial protein TMEM161A, which is overexpressed in tumors and cross-reactive epitopes from Epstein-Barr virus and E. coli. Our findings suggest that this cross-reactivity may underlie the presence of virus-specific T cells in tumor infiltrates and that pathogen cross-reactivity may be a feature of multiple cancers. The approach and analytical pipelines generated in this work, as well as the specificity groups defined here, present a resource for understanding the T cell response in cancer.
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spelling pubmed-79605102021-03-19 Global analysis of shared T cell specificities in human non-small cell lung cancer enables HLA inference and antigen discovery Chiou, Shin-Heng Tseng, Diane Reuben, Alexandre Mallajosyula, Vamsee Molina, Irene S. Conley, Stephanie Wilhelmy, Julie McSween, Alana M. Yang, Xinbo Nishimiya, Daisuke Sinha, Rahul Nabet, Barzin Y. Wang, Chunlin Shrager, Joseph B. Berry, Mark F. Backhus, Leah Lui, Natalie S. Wakelee, Heather A. Neal, Joel W. Padda, Sukhmani K. Berry, Gerald J. Delaidelli, Alberto Sorensen, Poul H. Sotillo, Elena Tran, Patrick Benson, Jalen A. Richards, Rebecca Labanieh, Louai Klysz, Dorota D. Louis, David M. Feldman, Steven A. Diehn, Maximilian Weissman, Irving L. Zhang, Jianjun Wistuba, Ignacio I. Futreal, P. Andrew Heymach, John V. Garcia, K. Christopher Mackall, Crystal L. Davis, Mark M. Immunity Resource To identify disease-relevant T cell receptors (TCRs) with shared antigen specificity, we analyzed 778,938 TCRβ chain sequences from 178 non-small cell lung cancer patients using the GLIPH2 (grouping of lymphocyte interactions with paratope hotspots 2) algorithm. We identified over 66,000 shared specificity groups, of which 435 were clonally expanded and enriched in tumors compared to adjacent lung. The antigenic epitopes of one such tumor-enriched specificity group were identified using a yeast peptide-HLA A(∗)02:01 display library. These included a peptide from the epithelial protein TMEM161A, which is overexpressed in tumors and cross-reactive epitopes from Epstein-Barr virus and E. coli. Our findings suggest that this cross-reactivity may underlie the presence of virus-specific T cells in tumor infiltrates and that pathogen cross-reactivity may be a feature of multiple cancers. The approach and analytical pipelines generated in this work, as well as the specificity groups defined here, present a resource for understanding the T cell response in cancer. Cell Press 2021-03-09 /pmc/articles/PMC7960510/ /pubmed/33691136 http://dx.doi.org/10.1016/j.immuni.2021.02.014 Text en © 2021 The Authors. Published by Elsevier Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Resource
Chiou, Shin-Heng
Tseng, Diane
Reuben, Alexandre
Mallajosyula, Vamsee
Molina, Irene S.
Conley, Stephanie
Wilhelmy, Julie
McSween, Alana M.
Yang, Xinbo
Nishimiya, Daisuke
Sinha, Rahul
Nabet, Barzin Y.
Wang, Chunlin
Shrager, Joseph B.
Berry, Mark F.
Backhus, Leah
Lui, Natalie S.
Wakelee, Heather A.
Neal, Joel W.
Padda, Sukhmani K.
Berry, Gerald J.
Delaidelli, Alberto
Sorensen, Poul H.
Sotillo, Elena
Tran, Patrick
Benson, Jalen A.
Richards, Rebecca
Labanieh, Louai
Klysz, Dorota D.
Louis, David M.
Feldman, Steven A.
Diehn, Maximilian
Weissman, Irving L.
Zhang, Jianjun
Wistuba, Ignacio I.
Futreal, P. Andrew
Heymach, John V.
Garcia, K. Christopher
Mackall, Crystal L.
Davis, Mark M.
Global analysis of shared T cell specificities in human non-small cell lung cancer enables HLA inference and antigen discovery
title Global analysis of shared T cell specificities in human non-small cell lung cancer enables HLA inference and antigen discovery
title_full Global analysis of shared T cell specificities in human non-small cell lung cancer enables HLA inference and antigen discovery
title_fullStr Global analysis of shared T cell specificities in human non-small cell lung cancer enables HLA inference and antigen discovery
title_full_unstemmed Global analysis of shared T cell specificities in human non-small cell lung cancer enables HLA inference and antigen discovery
title_short Global analysis of shared T cell specificities in human non-small cell lung cancer enables HLA inference and antigen discovery
title_sort global analysis of shared t cell specificities in human non-small cell lung cancer enables hla inference and antigen discovery
topic Resource
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7960510/
https://www.ncbi.nlm.nih.gov/pubmed/33691136
http://dx.doi.org/10.1016/j.immuni.2021.02.014
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