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Stratification of non-small cell lung adenocarcinoma patients with EGFR actionable mutations based on drug-resistant stem cell genes
EGFR-TKIs were used in NSCLC patients with actionable EGFR mutations and prolong prognosis. However, most patients treated with EGFR-TKIs developed resistance within around one year. This suggests that residual EGFR-TKIs resistant cells may eventually lead to relapse. Predicting resistance risk in p...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241979/ https://www.ncbi.nlm.nih.gov/pubmed/37288343 http://dx.doi.org/10.1016/j.isci.2023.106584 |
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author | Xie, Xiaohong Li, Lifeng Xie, Liang Liu, Zhentian Zhang, Guoliang Gao, Xuan Peng, Wenying Deng, Haiyi Yang, Yilin Yang, Meiling Chang, Lianpeng Yi, Xin Xia, Xuefeng He, Zhiyi Zhou, Chengzhi |
author_facet | Xie, Xiaohong Li, Lifeng Xie, Liang Liu, Zhentian Zhang, Guoliang Gao, Xuan Peng, Wenying Deng, Haiyi Yang, Yilin Yang, Meiling Chang, Lianpeng Yi, Xin Xia, Xuefeng He, Zhiyi Zhou, Chengzhi |
author_sort | Xie, Xiaohong |
collection | PubMed |
description | EGFR-TKIs were used in NSCLC patients with actionable EGFR mutations and prolong prognosis. However, most patients treated with EGFR-TKIs developed resistance within around one year. This suggests that residual EGFR-TKIs resistant cells may eventually lead to relapse. Predicting resistance risk in patients will facilitate individualized management. Herein, we built an EGFR-TKIs resistance prediction (R-index) model and validate in cell line, mice, and cohort. We found significantly higher R-index value in resistant cell lines, mice models and relapsed patients. Patients with an elevated R-index had significantly shorter relapse time. We also found that the glycolysis pathway and the KRAS upregulation pathway were related to EGFR-TKIs resistance. MDSC is a significant immunosuppression factor in the resistant microenvironment. Our model provides an executable method for assessing patient resistance status based on transcriptional reprogramming and may contribute to the clinical translation of patient individual management and the study of unclear resistance mechanisms. |
format | Online Article Text |
id | pubmed-10241979 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-102419792023-06-07 Stratification of non-small cell lung adenocarcinoma patients with EGFR actionable mutations based on drug-resistant stem cell genes Xie, Xiaohong Li, Lifeng Xie, Liang Liu, Zhentian Zhang, Guoliang Gao, Xuan Peng, Wenying Deng, Haiyi Yang, Yilin Yang, Meiling Chang, Lianpeng Yi, Xin Xia, Xuefeng He, Zhiyi Zhou, Chengzhi iScience Article EGFR-TKIs were used in NSCLC patients with actionable EGFR mutations and prolong prognosis. However, most patients treated with EGFR-TKIs developed resistance within around one year. This suggests that residual EGFR-TKIs resistant cells may eventually lead to relapse. Predicting resistance risk in patients will facilitate individualized management. Herein, we built an EGFR-TKIs resistance prediction (R-index) model and validate in cell line, mice, and cohort. We found significantly higher R-index value in resistant cell lines, mice models and relapsed patients. Patients with an elevated R-index had significantly shorter relapse time. We also found that the glycolysis pathway and the KRAS upregulation pathway were related to EGFR-TKIs resistance. MDSC is a significant immunosuppression factor in the resistant microenvironment. Our model provides an executable method for assessing patient resistance status based on transcriptional reprogramming and may contribute to the clinical translation of patient individual management and the study of unclear resistance mechanisms. Elsevier 2023-04-08 /pmc/articles/PMC10241979/ /pubmed/37288343 http://dx.doi.org/10.1016/j.isci.2023.106584 Text en © 2023 The Authors https://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 | Article Xie, Xiaohong Li, Lifeng Xie, Liang Liu, Zhentian Zhang, Guoliang Gao, Xuan Peng, Wenying Deng, Haiyi Yang, Yilin Yang, Meiling Chang, Lianpeng Yi, Xin Xia, Xuefeng He, Zhiyi Zhou, Chengzhi Stratification of non-small cell lung adenocarcinoma patients with EGFR actionable mutations based on drug-resistant stem cell genes |
title | Stratification of non-small cell lung adenocarcinoma patients with EGFR actionable mutations based on drug-resistant stem cell genes |
title_full | Stratification of non-small cell lung adenocarcinoma patients with EGFR actionable mutations based on drug-resistant stem cell genes |
title_fullStr | Stratification of non-small cell lung adenocarcinoma patients with EGFR actionable mutations based on drug-resistant stem cell genes |
title_full_unstemmed | Stratification of non-small cell lung adenocarcinoma patients with EGFR actionable mutations based on drug-resistant stem cell genes |
title_short | Stratification of non-small cell lung adenocarcinoma patients with EGFR actionable mutations based on drug-resistant stem cell genes |
title_sort | stratification of non-small cell lung adenocarcinoma patients with egfr actionable mutations based on drug-resistant stem cell genes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241979/ https://www.ncbi.nlm.nih.gov/pubmed/37288343 http://dx.doi.org/10.1016/j.isci.2023.106584 |
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