Identification of miRNA signature for predicting the prognostic biomarker of squamous cell lung carcinoma

As explorations deepen, the role of microRNAs (miRNAs) in lung squamous cell carcinoma (LUSC), from its emergence to metastasis and prognosis, has elicited extensive concern. LUSC-related miRNA and mRNA samples were acquired from The Cancer Genome Atlas (TCGA) database. The data were initially scree...

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Autores principales: Liu, Huanqing, Li, Tingting, Dong, Chunsheng, Lyu, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8923497/
https://www.ncbi.nlm.nih.gov/pubmed/35290415
http://dx.doi.org/10.1371/journal.pone.0264645
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author Liu, Huanqing
Li, Tingting
Dong, Chunsheng
Lyu, Jun
author_facet Liu, Huanqing
Li, Tingting
Dong, Chunsheng
Lyu, Jun
author_sort Liu, Huanqing
collection PubMed
description As explorations deepen, the role of microRNAs (miRNAs) in lung squamous cell carcinoma (LUSC), from its emergence to metastasis and prognosis, has elicited extensive concern. LUSC-related miRNA and mRNA samples were acquired from The Cancer Genome Atlas (TCGA) database. The data were initially screened and pretreated, and the R platform and series analytical tools were used to identify the specific and sensitive biomarkers. Seven miRNAs and 15 hub genes were found to be closely related to the overall survival of patients with LUSC. Determination of the expression of these miRNAs can help improve the overall survival of LUSC patients. The 15 hub genes correlated with overall survival (OS). The new miRNA markers were identified to predict the prognosis of LUSC. The findings of this study offer novel views on the evolution of precise cancer treatment approaches with high reliability.
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spelling pubmed-89234972022-03-16 Identification of miRNA signature for predicting the prognostic biomarker of squamous cell lung carcinoma Liu, Huanqing Li, Tingting Dong, Chunsheng Lyu, Jun PLoS One Research Article As explorations deepen, the role of microRNAs (miRNAs) in lung squamous cell carcinoma (LUSC), from its emergence to metastasis and prognosis, has elicited extensive concern. LUSC-related miRNA and mRNA samples were acquired from The Cancer Genome Atlas (TCGA) database. The data were initially screened and pretreated, and the R platform and series analytical tools were used to identify the specific and sensitive biomarkers. Seven miRNAs and 15 hub genes were found to be closely related to the overall survival of patients with LUSC. Determination of the expression of these miRNAs can help improve the overall survival of LUSC patients. The 15 hub genes correlated with overall survival (OS). The new miRNA markers were identified to predict the prognosis of LUSC. The findings of this study offer novel views on the evolution of precise cancer treatment approaches with high reliability. Public Library of Science 2022-03-15 /pmc/articles/PMC8923497/ /pubmed/35290415 http://dx.doi.org/10.1371/journal.pone.0264645 Text en © 2022 Liu et al 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/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Liu, Huanqing
Li, Tingting
Dong, Chunsheng
Lyu, Jun
Identification of miRNA signature for predicting the prognostic biomarker of squamous cell lung carcinoma
title Identification of miRNA signature for predicting the prognostic biomarker of squamous cell lung carcinoma
title_full Identification of miRNA signature for predicting the prognostic biomarker of squamous cell lung carcinoma
title_fullStr Identification of miRNA signature for predicting the prognostic biomarker of squamous cell lung carcinoma
title_full_unstemmed Identification of miRNA signature for predicting the prognostic biomarker of squamous cell lung carcinoma
title_short Identification of miRNA signature for predicting the prognostic biomarker of squamous cell lung carcinoma
title_sort identification of mirna signature for predicting the prognostic biomarker of squamous cell lung carcinoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8923497/
https://www.ncbi.nlm.nih.gov/pubmed/35290415
http://dx.doi.org/10.1371/journal.pone.0264645
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