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m(6)A regulators as predictive biomarkers for chemotherapy benefit and potential therapeutic targets for overcoming chemotherapy resistance in small-cell lung cancer

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 outcom...

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Autores principales: Zhang, Zhihui, Zhang, Chaoqi, Yang, Zhaoyang, Zhang, Guochao, Wu, Peng, Luo, Yuejun, Zeng, Qingpeng, Wang, Lide, Xue, Qi, Zhang, Yi, Sun, Nan, He, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8579518/
https://www.ncbi.nlm.nih.gov/pubmed/34758859
http://dx.doi.org/10.1186/s13045-021-01173-4
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author Zhang, Zhihui
Zhang, Chaoqi
Yang, Zhaoyang
Zhang, Guochao
Wu, Peng
Luo, Yuejun
Zeng, Qingpeng
Wang, Lide
Xue, Qi
Zhang, Yi
Sun, Nan
He, Jie
author_facet Zhang, Zhihui
Zhang, Chaoqi
Yang, Zhaoyang
Zhang, Guochao
Wu, Peng
Luo, Yuejun
Zeng, Qingpeng
Wang, Lide
Xue, Qi
Zhang, Yi
Sun, Nan
He, Jie
author_sort Zhang, Zhihui
collection PubMed
description 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 (m(6)A) is a novel epigenetic decisive factor that is involved in tumor progression and drug resistance. However, almost nothing is known about m(6)A 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 m(6)A 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 (m(6)A score) and subsequently validated the classifier in two other cohorts. Time-dependent ROC and C-index analyses showed that the m(6)A score to possessed superior predictive power for chemotherapy benefit in comparison with other clinicopathological parameters. A multicohort multivariate analysis revealed that the m(6)A 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 m(6)A regulators for chemotherapy benefit, as well as their potential as therapeutic targets for overcoming chemotherapy resistance in SCLC patients. The m(6)A score was found to be a reliable prognostic tool that may help guide chemotherapy decisions for patients with SCLC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13045-021-01173-4.
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spelling pubmed-85795182021-11-10 m(6)A regulators as predictive biomarkers for chemotherapy benefit and potential therapeutic targets for overcoming chemotherapy resistance in small-cell lung cancer Zhang, Zhihui Zhang, Chaoqi Yang, Zhaoyang Zhang, Guochao Wu, Peng Luo, Yuejun Zeng, Qingpeng Wang, Lide Xue, Qi Zhang, Yi Sun, Nan He, Jie J Hematol Oncol Letter to the Editor 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 (m(6)A) is a novel epigenetic decisive factor that is involved in tumor progression and drug resistance. However, almost nothing is known about m(6)A 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 m(6)A 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 (m(6)A score) and subsequently validated the classifier in two other cohorts. Time-dependent ROC and C-index analyses showed that the m(6)A score to possessed superior predictive power for chemotherapy benefit in comparison with other clinicopathological parameters. A multicohort multivariate analysis revealed that the m(6)A 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 m(6)A regulators for chemotherapy benefit, as well as their potential as therapeutic targets for overcoming chemotherapy resistance in SCLC patients. The m(6)A score was found to be a reliable prognostic tool that may help guide chemotherapy decisions for patients with SCLC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13045-021-01173-4. BioMed Central 2021-11-10 /pmc/articles/PMC8579518/ /pubmed/34758859 http://dx.doi.org/10.1186/s13045-021-01173-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Letter to the Editor
Zhang, Zhihui
Zhang, Chaoqi
Yang, Zhaoyang
Zhang, Guochao
Wu, Peng
Luo, Yuejun
Zeng, Qingpeng
Wang, Lide
Xue, Qi
Zhang, Yi
Sun, Nan
He, Jie
m(6)A regulators as predictive biomarkers for chemotherapy benefit and potential therapeutic targets for overcoming chemotherapy resistance in small-cell lung cancer
title m(6)A regulators as predictive biomarkers for chemotherapy benefit and potential therapeutic targets for overcoming chemotherapy resistance in small-cell lung cancer
title_full m(6)A regulators as predictive biomarkers for chemotherapy benefit and potential therapeutic targets for overcoming chemotherapy resistance in small-cell lung cancer
title_fullStr m(6)A regulators as predictive biomarkers for chemotherapy benefit and potential therapeutic targets for overcoming chemotherapy resistance in small-cell lung cancer
title_full_unstemmed m(6)A regulators as predictive biomarkers for chemotherapy benefit and potential therapeutic targets for overcoming chemotherapy resistance in small-cell lung cancer
title_short m(6)A regulators as predictive biomarkers for chemotherapy benefit and potential therapeutic targets for overcoming chemotherapy resistance in small-cell lung cancer
title_sort m(6)a regulators as predictive biomarkers for chemotherapy benefit and potential therapeutic targets for overcoming chemotherapy resistance in small-cell lung cancer
topic Letter to the Editor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8579518/
https://www.ncbi.nlm.nih.gov/pubmed/34758859
http://dx.doi.org/10.1186/s13045-021-01173-4
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