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Comprehensive analyses of N (6)‐methyladenosine‐related long noncoding RNA profiles with prognosis, chemotherapy response, and immune landscape in small cell lung cancer

Small cell lung cancer (SCLC) is the most devastating subtype of lung cancer with no clinically available prognostic biomarkers. N (6)‐methyladenosine (m(6)A) and noncoding RNAs play critical roles in cancer development and treatment response. However, little is known about m(6)A‐related long noncod...

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Autores principales: Luo, Yuejun, Zhang, Zhihui, Zheng, Bo, Wu, Peng, Zhang, Guochao, Wang, Lide, Zeng, Qingpeng, Yang, Zhaoyang, Xue, Liyan, Zeng, Hua, Tan, Fengwei, Xue, Qi, Gao, Shugeng, Sun, Nan, He, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9746037/
https://www.ncbi.nlm.nih.gov/pubmed/36047973
http://dx.doi.org/10.1111/cas.15553
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author Luo, Yuejun
Zhang, Zhihui
Zheng, Bo
Wu, Peng
Zhang, Guochao
Wang, Lide
Zeng, Qingpeng
Yang, Zhaoyang
Xue, Liyan
Zeng, Hua
Tan, Fengwei
Xue, Qi
Gao, Shugeng
Sun, Nan
He, Jie
author_facet Luo, Yuejun
Zhang, Zhihui
Zheng, Bo
Wu, Peng
Zhang, Guochao
Wang, Lide
Zeng, Qingpeng
Yang, Zhaoyang
Xue, Liyan
Zeng, Hua
Tan, Fengwei
Xue, Qi
Gao, Shugeng
Sun, Nan
He, Jie
author_sort Luo, Yuejun
collection PubMed
description Small cell lung cancer (SCLC) is the most devastating subtype of lung cancer with no clinically available prognostic biomarkers. N (6)‐methyladenosine (m(6)A) and noncoding RNAs play critical roles in cancer development and treatment response. However, little is known about m(6)A‐related long noncoding RNAs (lncRNAs) in SCLC. We used 206 limited‐stage SCLC (LS‐SCLC) samples from two cohorts to undertake the first and most comprehensive exploration of the m(6)A‐related lncRNA profile in SCLC and constructed a relevant prognostic signature. In total, 289 m(6)A‐related lncRNAs were screened out. We then built a seven‐lncRNA‐based signature in the training cohort with 48 RNA sequencing data using univariate and multivariate Cox regression models. The signature was well validated in an independent cohort containing 158 cases with quantitative PCR data. In both cohorts, the signature divided patients into high‐ and low‐risk groups with significantly different survival rates (both p < 0.001). Our signature predicted chemotherapy survival benefit in patients with LS‐SCLC. Receiver operating characteristic and C‐index analyses indicated that the signature was better at predicting prognosis and chemotherapy benefit than other clinicopathologic features. Moreover, the signature was identified as an independent predictor of prognosis and chemotherapy response in different cohorts. Furthermore, functional analysis showed that multiple activated immune‐related pathways were enriched in the low‐risk group. Additionally, the signature was also closely related to various immune checkpoints and inflammatory responses. We generated the first clinically available m(6)A‐related lncRNA signature to predict prognosis and chemotherapy benefit in patients with LS‐SCLC. Our findings could help optimize the clinical management of patients with LS‐SCLC and inform future therapeutic targets for SCLC.
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spelling pubmed-97460372022-12-14 Comprehensive analyses of N (6)‐methyladenosine‐related long noncoding RNA profiles with prognosis, chemotherapy response, and immune landscape in small cell lung cancer Luo, Yuejun Zhang, Zhihui Zheng, Bo Wu, Peng Zhang, Guochao Wang, Lide Zeng, Qingpeng Yang, Zhaoyang Xue, Liyan Zeng, Hua Tan, Fengwei Xue, Qi Gao, Shugeng Sun, Nan He, Jie Cancer Sci ORIGINAL ARTICLES Small cell lung cancer (SCLC) is the most devastating subtype of lung cancer with no clinically available prognostic biomarkers. N (6)‐methyladenosine (m(6)A) and noncoding RNAs play critical roles in cancer development and treatment response. However, little is known about m(6)A‐related long noncoding RNAs (lncRNAs) in SCLC. We used 206 limited‐stage SCLC (LS‐SCLC) samples from two cohorts to undertake the first and most comprehensive exploration of the m(6)A‐related lncRNA profile in SCLC and constructed a relevant prognostic signature. In total, 289 m(6)A‐related lncRNAs were screened out. We then built a seven‐lncRNA‐based signature in the training cohort with 48 RNA sequencing data using univariate and multivariate Cox regression models. The signature was well validated in an independent cohort containing 158 cases with quantitative PCR data. In both cohorts, the signature divided patients into high‐ and low‐risk groups with significantly different survival rates (both p < 0.001). Our signature predicted chemotherapy survival benefit in patients with LS‐SCLC. Receiver operating characteristic and C‐index analyses indicated that the signature was better at predicting prognosis and chemotherapy benefit than other clinicopathologic features. Moreover, the signature was identified as an independent predictor of prognosis and chemotherapy response in different cohorts. Furthermore, functional analysis showed that multiple activated immune‐related pathways were enriched in the low‐risk group. Additionally, the signature was also closely related to various immune checkpoints and inflammatory responses. We generated the first clinically available m(6)A‐related lncRNA signature to predict prognosis and chemotherapy benefit in patients with LS‐SCLC. Our findings could help optimize the clinical management of patients with LS‐SCLC and inform future therapeutic targets for SCLC. John Wiley and Sons Inc. 2022-09-15 2022-12 /pmc/articles/PMC9746037/ /pubmed/36047973 http://dx.doi.org/10.1111/cas.15553 Text en © 2022 The Authors. Cancer Science published by John Wiley & Sons Australia, Ltd on behalf of Japanese Cancer Association. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle ORIGINAL ARTICLES
Luo, Yuejun
Zhang, Zhihui
Zheng, Bo
Wu, Peng
Zhang, Guochao
Wang, Lide
Zeng, Qingpeng
Yang, Zhaoyang
Xue, Liyan
Zeng, Hua
Tan, Fengwei
Xue, Qi
Gao, Shugeng
Sun, Nan
He, Jie
Comprehensive analyses of N (6)‐methyladenosine‐related long noncoding RNA profiles with prognosis, chemotherapy response, and immune landscape in small cell lung cancer
title Comprehensive analyses of N (6)‐methyladenosine‐related long noncoding RNA profiles with prognosis, chemotherapy response, and immune landscape in small cell lung cancer
title_full Comprehensive analyses of N (6)‐methyladenosine‐related long noncoding RNA profiles with prognosis, chemotherapy response, and immune landscape in small cell lung cancer
title_fullStr Comprehensive analyses of N (6)‐methyladenosine‐related long noncoding RNA profiles with prognosis, chemotherapy response, and immune landscape in small cell lung cancer
title_full_unstemmed Comprehensive analyses of N (6)‐methyladenosine‐related long noncoding RNA profiles with prognosis, chemotherapy response, and immune landscape in small cell lung cancer
title_short Comprehensive analyses of N (6)‐methyladenosine‐related long noncoding RNA profiles with prognosis, chemotherapy response, and immune landscape in small cell lung cancer
title_sort comprehensive analyses of n (6)‐methyladenosine‐related long noncoding rna profiles with prognosis, chemotherapy response, and immune landscape in small cell lung cancer
topic ORIGINAL ARTICLES
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9746037/
https://www.ncbi.nlm.nih.gov/pubmed/36047973
http://dx.doi.org/10.1111/cas.15553
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