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Development of a 4-miRNA prognostic signature for endometrial cancer
To develop an effective uterine corpus endometrial carcinoma (UCEC) risk assessment tool to monitor treatment outcomes. Limma package was used to analyze differentially expressed microRNAs (miRNAs) between UCEC tissues and normal tissues in the TCGA database. According to univariate Cox risk regress...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9575815/ https://www.ncbi.nlm.nih.gov/pubmed/36254064 http://dx.doi.org/10.1097/MD.0000000000030974 |
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author | Huang, Jiazhen Du, Furong Wang, Ning |
author_facet | Huang, Jiazhen Du, Furong Wang, Ning |
author_sort | Huang, Jiazhen |
collection | PubMed |
description | To develop an effective uterine corpus endometrial carcinoma (UCEC) risk assessment tool to monitor treatment outcomes. Limma package was used to analyze differentially expressed microRNAs (miRNAs) between UCEC tissues and normal tissues in the TCGA database. According to univariate Cox risk regression, least absolute shrinkage, and selection operator (LASSO) Cox analysis were performed to screen prognostic miRNAs and construct a risk scoring model. The prognostic performance of signature was evaluated by Kaplan–Meier and receiver operating characteristic. Multivariate Cox regression analysis was used to determine the independent prognostic factors of UCEC. Nomogram was constructed according to age, clinical stage, and risk score. A 4-miRNA signature based on miR-31-5p, miR-34a-5p, miR-26a-1-3p and miR-4772-3p was established. Risk scores of each patient were calculated by the 4-miRNA signature. After z-score, the patients were divided into high- and low-risk groups. The overall survival of high-risk patients was significantly shorter than that of low-risk patients, pointing to the high performance and independence of the 4-miRNA signature in predicting UCEC prognosis. The nomogram showed a high accuracy in predicting overall survival of UCEC patients. We developed a 4-miRNA signature that could effectively predict the prognosis of UCEC. |
format | Online Article Text |
id | pubmed-9575815 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-95758152022-10-17 Development of a 4-miRNA prognostic signature for endometrial cancer Huang, Jiazhen Du, Furong Wang, Ning Medicine (Baltimore) 5600 To develop an effective uterine corpus endometrial carcinoma (UCEC) risk assessment tool to monitor treatment outcomes. Limma package was used to analyze differentially expressed microRNAs (miRNAs) between UCEC tissues and normal tissues in the TCGA database. According to univariate Cox risk regression, least absolute shrinkage, and selection operator (LASSO) Cox analysis were performed to screen prognostic miRNAs and construct a risk scoring model. The prognostic performance of signature was evaluated by Kaplan–Meier and receiver operating characteristic. Multivariate Cox regression analysis was used to determine the independent prognostic factors of UCEC. Nomogram was constructed according to age, clinical stage, and risk score. A 4-miRNA signature based on miR-31-5p, miR-34a-5p, miR-26a-1-3p and miR-4772-3p was established. Risk scores of each patient were calculated by the 4-miRNA signature. After z-score, the patients were divided into high- and low-risk groups. The overall survival of high-risk patients was significantly shorter than that of low-risk patients, pointing to the high performance and independence of the 4-miRNA signature in predicting UCEC prognosis. The nomogram showed a high accuracy in predicting overall survival of UCEC patients. We developed a 4-miRNA signature that could effectively predict the prognosis of UCEC. Lippincott Williams & Wilkins 2022-10-14 /pmc/articles/PMC9575815/ /pubmed/36254064 http://dx.doi.org/10.1097/MD.0000000000030974 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) (https://creativecommons.org/licenses/by-nc/4.0/) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. |
spellingShingle | 5600 Huang, Jiazhen Du, Furong Wang, Ning Development of a 4-miRNA prognostic signature for endometrial cancer |
title | Development of a 4-miRNA prognostic signature for endometrial cancer |
title_full | Development of a 4-miRNA prognostic signature for endometrial cancer |
title_fullStr | Development of a 4-miRNA prognostic signature for endometrial cancer |
title_full_unstemmed | Development of a 4-miRNA prognostic signature for endometrial cancer |
title_short | Development of a 4-miRNA prognostic signature for endometrial cancer |
title_sort | development of a 4-mirna prognostic signature for endometrial cancer |
topic | 5600 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9575815/ https://www.ncbi.nlm.nih.gov/pubmed/36254064 http://dx.doi.org/10.1097/MD.0000000000030974 |
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