m6A regulators as predictive biomarkers for chemotherapy benefit and potential therapeutic targets for overcoming chemotherapy resistance in small-cell lung cancer

Abstract Small-cell lung cancer (SCLC) is a devastating subtype of lung cancer with few therapeutic options. Despite the advent of immunotherapy, platinum-based chemotherapy is still the irreplaceable first-line therapy for SCLCs. However, drug resistance will invariably occur in most patients and t...

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Autores principales: Zhihui Zhang, Chaoqi Zhang, Zhaoyang Yang, Guochao Zhang, Peng Wu, Yuejun Luo, Qingpeng Zeng, Lide Wang, Qi Xue, Yi Zhang, Nan Sun, Jie He
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Publicado: BMC 2021
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Acceso en línea:https://doaj.org/article/de7bfad1ceb74b3ea418b7cded854a63
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spelling oai:doaj.org-article:de7bfad1ceb74b3ea418b7cded854a632021-11-14T12:05:39Zm6A regulators as predictive biomarkers for chemotherapy benefit and potential therapeutic targets for overcoming chemotherapy resistance in small-cell lung cancer10.1186/s13045-021-01173-41756-8722https://doaj.org/article/de7bfad1ceb74b3ea418b7cded854a632021-11-01T00:00:00Zhttps://doi.org/10.1186/s13045-021-01173-4https://doaj.org/toc/1756-8722Abstract Small-cell lung cancer (SCLC) is a devastating subtype of lung cancer with few therapeutic options. Despite the advent of immunotherapy, platinum-based chemotherapy is still the irreplaceable first-line therapy for SCLCs. However, drug resistance will invariably occur in most patients and the outcomes are heterogeneous. Therefore, clinically feasible classification strategies and potential therapeutic targets for overcoming chemotherapy resistance are urgently needed. N 6-methyladenosine (m6A) is a novel epigenetic decisive factor that is involved in tumor progression and drug resistance. However, almost nothing is known about m6A modification in SCLC. Here, we assessed 200 SCLC samples from patients who underwent chemotherapy from three different cohorts, including a validation cohort containing 71 cases with qPCR data and an independent cohort containing 79 cases with immunohistochemistry data (quantified as H-score). We systematically characterized the predictive landscape of m6A regulators in SCLC patients following with chemotherapy. Using the LASSO Cox model, we built a seven-regulator-based (ZCCHC4, IGF2BP3, ALKBH5, YTHDF3, METTL5, G3BP1, and RBMX) chemotherapy benefit predictive classifier (m6A score) and subsequently validated the classifier in two other cohorts. Time-dependent ROC and C-index analyses showed that the m6A score to possessed superior predictive power for chemotherapy benefit in comparison with other clinicopathological parameters. A multicohort multivariate analysis revealed that the m6A score is an independent factor that affects survival benefit across multiple cohorts. Our in vitro experimental results revealed that three regulators—ZCCHC4, G3BP1, and RBMX—may serve as promising novel therapeutic targets for overcoming chemoresistance in SCLCs. Our results, for the first time, demonstrate the predictive significance of m6A regulators for chemotherapy benefit, as well as their potential as therapeutic targets for overcoming chemotherapy resistance in SCLC patients. The m6A score was found to be a reliable prognostic tool that may help guide chemotherapy decisions for patients with SCLC.Zhihui ZhangChaoqi ZhangZhaoyang YangGuochao ZhangPeng WuYuejun LuoQingpeng ZengLide WangQi XueYi ZhangNan SunJie HeBMCarticleSmall-cell lung cancerm6A regulatorsEpigenetic modificationChemotherapy resistanceIndividualized medicineDiseases of the blood and blood-forming organsRC633-647.5Neoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENJournal of Hematology & Oncology, Vol 14, Iss 1, Pp 1-5 (2021)
institution DOAJ
collection DOAJ
language EN
topic Small-cell lung cancer
m6A regulators
Epigenetic modification
Chemotherapy resistance
Individualized medicine
Diseases of the blood and blood-forming organs
RC633-647.5
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
spellingShingle Small-cell lung cancer
m6A regulators
Epigenetic modification
Chemotherapy resistance
Individualized medicine
Diseases of the blood and blood-forming organs
RC633-647.5
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Zhihui Zhang
Chaoqi Zhang
Zhaoyang Yang
Guochao Zhang
Peng Wu
Yuejun Luo
Qingpeng Zeng
Lide Wang
Qi Xue
Yi Zhang
Nan Sun
Jie He
m6A regulators as predictive biomarkers for chemotherapy benefit and potential therapeutic targets for overcoming chemotherapy resistance in small-cell lung cancer
description Abstract Small-cell lung cancer (SCLC) is a devastating subtype of lung cancer with few therapeutic options. Despite the advent of immunotherapy, platinum-based chemotherapy is still the irreplaceable first-line therapy for SCLCs. However, drug resistance will invariably occur in most patients and the outcomes are heterogeneous. Therefore, clinically feasible classification strategies and potential therapeutic targets for overcoming chemotherapy resistance are urgently needed. N 6-methyladenosine (m6A) is a novel epigenetic decisive factor that is involved in tumor progression and drug resistance. However, almost nothing is known about m6A modification in SCLC. Here, we assessed 200 SCLC samples from patients who underwent chemotherapy from three different cohorts, including a validation cohort containing 71 cases with qPCR data and an independent cohort containing 79 cases with immunohistochemistry data (quantified as H-score). We systematically characterized the predictive landscape of m6A regulators in SCLC patients following with chemotherapy. Using the LASSO Cox model, we built a seven-regulator-based (ZCCHC4, IGF2BP3, ALKBH5, YTHDF3, METTL5, G3BP1, and RBMX) chemotherapy benefit predictive classifier (m6A score) and subsequently validated the classifier in two other cohorts. Time-dependent ROC and C-index analyses showed that the m6A score to possessed superior predictive power for chemotherapy benefit in comparison with other clinicopathological parameters. A multicohort multivariate analysis revealed that the m6A score is an independent factor that affects survival benefit across multiple cohorts. Our in vitro experimental results revealed that three regulators—ZCCHC4, G3BP1, and RBMX—may serve as promising novel therapeutic targets for overcoming chemoresistance in SCLCs. Our results, for the first time, demonstrate the predictive significance of m6A regulators for chemotherapy benefit, as well as their potential as therapeutic targets for overcoming chemotherapy resistance in SCLC patients. The m6A score was found to be a reliable prognostic tool that may help guide chemotherapy decisions for patients with SCLC.
format article
author Zhihui Zhang
Chaoqi Zhang
Zhaoyang Yang
Guochao Zhang
Peng Wu
Yuejun Luo
Qingpeng Zeng
Lide Wang
Qi Xue
Yi Zhang
Nan Sun
Jie He
author_facet Zhihui Zhang
Chaoqi Zhang
Zhaoyang Yang
Guochao Zhang
Peng Wu
Yuejun Luo
Qingpeng Zeng
Lide Wang
Qi Xue
Yi Zhang
Nan Sun
Jie He
author_sort Zhihui Zhang
title m6A regulators as predictive biomarkers for chemotherapy benefit and potential therapeutic targets for overcoming chemotherapy resistance in small-cell lung cancer
title_short m6A regulators as predictive biomarkers for chemotherapy benefit and potential therapeutic targets for overcoming chemotherapy resistance in small-cell lung cancer
title_full m6A regulators as predictive biomarkers for chemotherapy benefit and potential therapeutic targets for overcoming chemotherapy resistance in small-cell lung cancer
title_fullStr m6A regulators as predictive biomarkers for chemotherapy benefit and potential therapeutic targets for overcoming chemotherapy resistance in small-cell lung cancer
title_full_unstemmed m6A regulators as predictive biomarkers for chemotherapy benefit and potential therapeutic targets for overcoming chemotherapy resistance in small-cell lung cancer
title_sort m6a regulators as predictive biomarkers for chemotherapy benefit and potential therapeutic targets for overcoming chemotherapy resistance in small-cell lung cancer
publisher BMC
publishDate 2021
url https://doaj.org/article/de7bfad1ceb74b3ea418b7cded854a63
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