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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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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. |
format | Online Article Text |
id | pubmed-8579518 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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