Manuel Pino-Gonzalez, Martin Lazaro-Quintela, Irene Alonso-Alvarez, Maria Gallardo-Gomez, Laura Juaneda-Magdalena, Alejandro Francisco-Fernandez, Silvia Calabuig-Farinas, Eloisa Jantus-Lewintre, Monica Martinez-Fernandez
{"title":"组织和外周 T 细胞谱系预测 NSCLC 患者的免疫疗法反应和无进展生存期","authors":"Manuel Pino-Gonzalez, Martin Lazaro-Quintela, Irene Alonso-Alvarez, Maria Gallardo-Gomez, Laura Juaneda-Magdalena, Alejandro Francisco-Fernandez, Silvia Calabuig-Farinas, Eloisa Jantus-Lewintre, Monica Martinez-Fernandez","doi":"10.1101/2024.08.01.24311282","DOIUrl":null,"url":null,"abstract":"Immunotherapy has opened new avenues of treatment for patients with advanced non-small cell lung cancer (NSCLC) without previous hope of survival. Unfortunately, only a small percentage of patients benefit from it, and it is still not well understood which tumor characteristics can be used to predict immunotherapy response. As the key cellular effectors of antitumor immunity, T cells are endowed with specialized T cell receptors (TCRs) to recognize and eliminate cancer cells. Here, we evaluated the potential of TCR repertoire as a predictive biomarker in patients treated with immunotherapy. With this aim, advanced NSCLC patients treated with immunotherapy at first-line were included. After obtaining peripheral blood and tissue samples at baseline, next-generation sequencing targeting TCRbeta/gamma was performed. Beyond TCR metrics, clonal space of the most frequent clones was determined. We found a positive association between uneven tumor-infiltrating TCRbeta repertoire and the immunotherapy response. Moreover, the use of various tumor-infiltrating and circulating TRBV/J genes predicted the immunotherapy response. Our results indicate the importance of evaluating tissue and circulating TCRbeta repertoire prior immunotherapy, showing it as a promising immunotherapy response biomarker in NSCLC patients.","PeriodicalId":501437,"journal":{"name":"medRxiv - Oncology","volume":"56 2 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Tissue and Peripheral T-cell Repertoire Predicts Immunotherapy Response and Progression-Free Survival in NSCLC Patients.\",\"authors\":\"Manuel Pino-Gonzalez, Martin Lazaro-Quintela, Irene Alonso-Alvarez, Maria Gallardo-Gomez, Laura Juaneda-Magdalena, Alejandro Francisco-Fernandez, Silvia Calabuig-Farinas, Eloisa Jantus-Lewintre, Monica Martinez-Fernandez\",\"doi\":\"10.1101/2024.08.01.24311282\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Immunotherapy has opened new avenues of treatment for patients with advanced non-small cell lung cancer (NSCLC) without previous hope of survival. Unfortunately, only a small percentage of patients benefit from it, and it is still not well understood which tumor characteristics can be used to predict immunotherapy response. As the key cellular effectors of antitumor immunity, T cells are endowed with specialized T cell receptors (TCRs) to recognize and eliminate cancer cells. Here, we evaluated the potential of TCR repertoire as a predictive biomarker in patients treated with immunotherapy. With this aim, advanced NSCLC patients treated with immunotherapy at first-line were included. After obtaining peripheral blood and tissue samples at baseline, next-generation sequencing targeting TCRbeta/gamma was performed. Beyond TCR metrics, clonal space of the most frequent clones was determined. We found a positive association between uneven tumor-infiltrating TCRbeta repertoire and the immunotherapy response. Moreover, the use of various tumor-infiltrating and circulating TRBV/J genes predicted the immunotherapy response. Our results indicate the importance of evaluating tissue and circulating TCRbeta repertoire prior immunotherapy, showing it as a promising immunotherapy response biomarker in NSCLC patients.\",\"PeriodicalId\":501437,\"journal\":{\"name\":\"medRxiv - Oncology\",\"volume\":\"56 2 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"medRxiv - Oncology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1101/2024.08.01.24311282\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv - Oncology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.08.01.24311282","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Tissue and Peripheral T-cell Repertoire Predicts Immunotherapy Response and Progression-Free Survival in NSCLC Patients.
Immunotherapy has opened new avenues of treatment for patients with advanced non-small cell lung cancer (NSCLC) without previous hope of survival. Unfortunately, only a small percentage of patients benefit from it, and it is still not well understood which tumor characteristics can be used to predict immunotherapy response. As the key cellular effectors of antitumor immunity, T cells are endowed with specialized T cell receptors (TCRs) to recognize and eliminate cancer cells. Here, we evaluated the potential of TCR repertoire as a predictive biomarker in patients treated with immunotherapy. With this aim, advanced NSCLC patients treated with immunotherapy at first-line were included. After obtaining peripheral blood and tissue samples at baseline, next-generation sequencing targeting TCRbeta/gamma was performed. Beyond TCR metrics, clonal space of the most frequent clones was determined. We found a positive association between uneven tumor-infiltrating TCRbeta repertoire and the immunotherapy response. Moreover, the use of various tumor-infiltrating and circulating TRBV/J genes predicted the immunotherapy response. Our results indicate the importance of evaluating tissue and circulating TCRbeta repertoire prior immunotherapy, showing it as a promising immunotherapy response biomarker in NSCLC patients.