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Identification of prognosis value and immune microenvironment features of ceRNAs in NSCLC with distinct gene mutation

Non-small cell lung cancer (NSCLC), representing about 85% of all lung cancer (LC) cases, is by far the most common form of LC. High-throughput technology largely expands our ability to analyze the transcriptome data and a plethora of cancer-driving genes has been identified, paving the path to immu...

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Autores principales: You, Jiangtao, Wang, Qingshi, Cong, Longlong, Zhao, Rui, Cui, Wei, Chen, Huan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10333077/
https://www.ncbi.nlm.nih.gov/pubmed/37390335
http://dx.doi.org/10.18632/aging.204846
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author You, Jiangtao
Wang, Qingshi
Cong, Longlong
Zhao, Rui
Cui, Wei
Chen, Huan
author_facet You, Jiangtao
Wang, Qingshi
Cong, Longlong
Zhao, Rui
Cui, Wei
Chen, Huan
author_sort You, Jiangtao
collection PubMed
description Non-small cell lung cancer (NSCLC), representing about 85% of all lung cancer (LC) cases, is by far the most common form of LC. High-throughput technology largely expands our ability to analyze the transcriptome data and a plethora of cancer-driving genes has been identified, paving the path to immune therapy, where the effects of cancer-causing mutations are countered with microenvironment complexity. Given that competing endogenous RNAs (ceRNAs) participate in diverse cellular processes by a broad array of mechanisms in cancer, we scrutinized the immune microenvironment and ceRNA signatures in mutation-specific NSCLC by integrating TCGA-NSCLC and NSCLS-associated GEO datasets. The results suggested that RASA1mutation clusters in LUSC had a better prognosis and immunity. Immune cell infiltration analysis indicated that the cluster with RASA1 mutation had a significantly high level of NK T cells and a low level of memory effector T cells. Further analysis of immune-related ceRNAs in LUSC showed that hsa-miR-23a was significantly associated with survival in RASA1-mutation samples, indicating that there may be specific ceRNAs in mutation-specific subgroups in NSCLC. In conclusion, this study verified the presence of complexity and diversity of NSCLC gene mutations and highlighted the intricate links between gene mutation and tumor environment features.
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spelling pubmed-103330772023-07-12 Identification of prognosis value and immune microenvironment features of ceRNAs in NSCLC with distinct gene mutation You, Jiangtao Wang, Qingshi Cong, Longlong Zhao, Rui Cui, Wei Chen, Huan Aging (Albany NY) Research Paper Non-small cell lung cancer (NSCLC), representing about 85% of all lung cancer (LC) cases, is by far the most common form of LC. High-throughput technology largely expands our ability to analyze the transcriptome data and a plethora of cancer-driving genes has been identified, paving the path to immune therapy, where the effects of cancer-causing mutations are countered with microenvironment complexity. Given that competing endogenous RNAs (ceRNAs) participate in diverse cellular processes by a broad array of mechanisms in cancer, we scrutinized the immune microenvironment and ceRNA signatures in mutation-specific NSCLC by integrating TCGA-NSCLC and NSCLS-associated GEO datasets. The results suggested that RASA1mutation clusters in LUSC had a better prognosis and immunity. Immune cell infiltration analysis indicated that the cluster with RASA1 mutation had a significantly high level of NK T cells and a low level of memory effector T cells. Further analysis of immune-related ceRNAs in LUSC showed that hsa-miR-23a was significantly associated with survival in RASA1-mutation samples, indicating that there may be specific ceRNAs in mutation-specific subgroups in NSCLC. In conclusion, this study verified the presence of complexity and diversity of NSCLC gene mutations and highlighted the intricate links between gene mutation and tumor environment features. Impact Journals 2023-06-26 /pmc/articles/PMC10333077/ /pubmed/37390335 http://dx.doi.org/10.18632/aging.204846 Text en Copyright: © 2023 You et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
You, Jiangtao
Wang, Qingshi
Cong, Longlong
Zhao, Rui
Cui, Wei
Chen, Huan
Identification of prognosis value and immune microenvironment features of ceRNAs in NSCLC with distinct gene mutation
title Identification of prognosis value and immune microenvironment features of ceRNAs in NSCLC with distinct gene mutation
title_full Identification of prognosis value and immune microenvironment features of ceRNAs in NSCLC with distinct gene mutation
title_fullStr Identification of prognosis value and immune microenvironment features of ceRNAs in NSCLC with distinct gene mutation
title_full_unstemmed Identification of prognosis value and immune microenvironment features of ceRNAs in NSCLC with distinct gene mutation
title_short Identification of prognosis value and immune microenvironment features of ceRNAs in NSCLC with distinct gene mutation
title_sort identification of prognosis value and immune microenvironment features of cernas in nsclc with distinct gene mutation
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10333077/
https://www.ncbi.nlm.nih.gov/pubmed/37390335
http://dx.doi.org/10.18632/aging.204846
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