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Multi-omics analysis identifies distinct subtypes with clinical relevance in lung adenocarcinoma harboring KEAP1/NFE2L2

Backgrounds: Lung adenocarcinoma is one of the most common malignant tumors, in which KEAP1-NFE2L2 pathway is altered frequently. The biological features and intrinsic heterogeneities of KEAP1/NFE2L2-mutant lung adenocarcinoma remain unclear. Methods: Multiplatform data from The Cancer Genome Atlas...

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Autores principales: Yang, Xiaodong, Li, Ming, Chen, Zhencong, Fan, Xiaobin, Guo, Liang, Jin, Bo, Huang, Yiwei, Wang, Qun, Wu, Liang, Zhan, Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8965119/
https://www.ncbi.nlm.nih.gov/pubmed/35371318
http://dx.doi.org/10.7150/jca.66241
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author Yang, Xiaodong
Li, Ming
Chen, Zhencong
Fan, Xiaobin
Guo, Liang
Jin, Bo
Huang, Yiwei
Wang, Qun
Wu, Liang
Zhan, Cheng
author_facet Yang, Xiaodong
Li, Ming
Chen, Zhencong
Fan, Xiaobin
Guo, Liang
Jin, Bo
Huang, Yiwei
Wang, Qun
Wu, Liang
Zhan, Cheng
author_sort Yang, Xiaodong
collection PubMed
description Backgrounds: Lung adenocarcinoma is one of the most common malignant tumors, in which KEAP1-NFE2L2 pathway is altered frequently. The biological features and intrinsic heterogeneities of KEAP1/NFE2L2-mutant lung adenocarcinoma remain unclear. Methods: Multiplatform data from The Cancer Genome Atlas (TCGA) were acquired to identify two subtypes of lung adenocarcinoma harboring KEAP1/NFE2L2 mutations. Bioinformatic analyses, including immune microenvironment, methylation level and mutational signature, were performed to characterize the intrinsic heterogeneities. Meanwhile, initial results were validated by using in silico assessment of common lung adenocarcinoma cell lines, which revealed consistent features of mutant subtypes. Furthermore, drug sensitivity screening was conducted based on public datasets. Results: Two mutant subtypes (P1 and P2) of 89 patients were identified in TCGA. P2 patients had significantly higher levels of smoking and worse survival compared with P1 patients. The P2 subset was characterized by active immune microenvironment and more smoking-induced genomic alterations with respect to methylation and somatic mutations. Validations of the corresponding features in 20 mutant cell lines were achieved. Several compounds which were sensitive to mutant subtypes of lung adenocarcinoma were identified, such as inhibitors of PI3K/Akt and IGF1R signaling pathways. Conclusions: KEAP1/NFE2L2-mutant lung adenocarcinoma showed potential heterogeneities. The intrinsic heterogeneities of KEAP1/NFE2L2 were associated with immune microenvironment and smoking-related genomic aberrations.
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spelling pubmed-89651192022-04-01 Multi-omics analysis identifies distinct subtypes with clinical relevance in lung adenocarcinoma harboring KEAP1/NFE2L2 Yang, Xiaodong Li, Ming Chen, Zhencong Fan, Xiaobin Guo, Liang Jin, Bo Huang, Yiwei Wang, Qun Wu, Liang Zhan, Cheng J Cancer Research Paper Backgrounds: Lung adenocarcinoma is one of the most common malignant tumors, in which KEAP1-NFE2L2 pathway is altered frequently. The biological features and intrinsic heterogeneities of KEAP1/NFE2L2-mutant lung adenocarcinoma remain unclear. Methods: Multiplatform data from The Cancer Genome Atlas (TCGA) were acquired to identify two subtypes of lung adenocarcinoma harboring KEAP1/NFE2L2 mutations. Bioinformatic analyses, including immune microenvironment, methylation level and mutational signature, were performed to characterize the intrinsic heterogeneities. Meanwhile, initial results were validated by using in silico assessment of common lung adenocarcinoma cell lines, which revealed consistent features of mutant subtypes. Furthermore, drug sensitivity screening was conducted based on public datasets. Results: Two mutant subtypes (P1 and P2) of 89 patients were identified in TCGA. P2 patients had significantly higher levels of smoking and worse survival compared with P1 patients. The P2 subset was characterized by active immune microenvironment and more smoking-induced genomic alterations with respect to methylation and somatic mutations. Validations of the corresponding features in 20 mutant cell lines were achieved. Several compounds which were sensitive to mutant subtypes of lung adenocarcinoma were identified, such as inhibitors of PI3K/Akt and IGF1R signaling pathways. Conclusions: KEAP1/NFE2L2-mutant lung adenocarcinoma showed potential heterogeneities. The intrinsic heterogeneities of KEAP1/NFE2L2 were associated with immune microenvironment and smoking-related genomic aberrations. Ivyspring International Publisher 2022-02-28 /pmc/articles/PMC8965119/ /pubmed/35371318 http://dx.doi.org/10.7150/jca.66241 Text en © The author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
spellingShingle Research Paper
Yang, Xiaodong
Li, Ming
Chen, Zhencong
Fan, Xiaobin
Guo, Liang
Jin, Bo
Huang, Yiwei
Wang, Qun
Wu, Liang
Zhan, Cheng
Multi-omics analysis identifies distinct subtypes with clinical relevance in lung adenocarcinoma harboring KEAP1/NFE2L2
title Multi-omics analysis identifies distinct subtypes with clinical relevance in lung adenocarcinoma harboring KEAP1/NFE2L2
title_full Multi-omics analysis identifies distinct subtypes with clinical relevance in lung adenocarcinoma harboring KEAP1/NFE2L2
title_fullStr Multi-omics analysis identifies distinct subtypes with clinical relevance in lung adenocarcinoma harboring KEAP1/NFE2L2
title_full_unstemmed Multi-omics analysis identifies distinct subtypes with clinical relevance in lung adenocarcinoma harboring KEAP1/NFE2L2
title_short Multi-omics analysis identifies distinct subtypes with clinical relevance in lung adenocarcinoma harboring KEAP1/NFE2L2
title_sort multi-omics analysis identifies distinct subtypes with clinical relevance in lung adenocarcinoma harboring keap1/nfe2l2
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8965119/
https://www.ncbi.nlm.nih.gov/pubmed/35371318
http://dx.doi.org/10.7150/jca.66241
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