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m(6)A RNA methylation regulator-based signature for prognostic prediction and its potential immunological role in uterine corpus endometrial carcinoma
BACKGROUND: Uterine corpus endometrial carcinoma (UCEC) is the most common female pelvic malignancy worldwide. N6-methyladenosine (m(6)A) plays an important role in various cellular responses, especially in cancer progression. However, the correlation between prognostic UCEC and m(6)A RNA methylatio...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9801604/ https://www.ncbi.nlm.nih.gov/pubmed/36581816 http://dx.doi.org/10.1186/s12885-022-10490-x |
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author | Fang, Fang Wang, Peipei Huang, Haoyu Ye, Mingquan Liu, Xiaocen Li, Qingqing |
author_facet | Fang, Fang Wang, Peipei Huang, Haoyu Ye, Mingquan Liu, Xiaocen Li, Qingqing |
author_sort | Fang, Fang |
collection | PubMed |
description | BACKGROUND: Uterine corpus endometrial carcinoma (UCEC) is the most common female pelvic malignancy worldwide. N6-methyladenosine (m(6)A) plays an important role in various cellular responses, especially in cancer progression. However, the correlation between prognostic UCEC and m(6)A RNA methylation regulators remains unclear. METHODS: We used The Cancer Genome Atlas (TCGA) to provide a gene signature that could improve the prognostic evaluation of UCEC patients according to the distinct genetic trait of m(6)A RNA methylation regulators from a bioinformatics perspective. After comparing UCEC subgroups with different genetic profiles of m(6)A regulators, we identified 71 differentially expressed genes associated with overall survival (OS) and generated a nine-gene signature through least absolute shrinkage and selection operator (LASSO) Cox regression analysis. Finally, we used in vitro and in vivo tumor cell experiments as well as the immune correlation analysis to verify the function of each gene in the proposed gene signature. RESULTS: Time-dependent receiver operating characteristic (ROC) curves revealed that the proposed gene signature could predict the outcome of UCEC patients accurately. We found that CDKN2A mainly acted from the perspective of tumor cells, while COL4A4, PXDN, TIGIT, CHODL, LMO3, KCNJ12, L1CAM, and EPHB1 might play a role in UCEC from an immunological point of view. CONCLUSIONS: From an epigenetics perspective, the m6A RNA methylation regulator-based gene signature can predict the prognosis of UCEC patients and immune therapeutic efficacy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-10490-x. |
format | Online Article Text |
id | pubmed-9801604 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-98016042022-12-31 m(6)A RNA methylation regulator-based signature for prognostic prediction and its potential immunological role in uterine corpus endometrial carcinoma Fang, Fang Wang, Peipei Huang, Haoyu Ye, Mingquan Liu, Xiaocen Li, Qingqing BMC Cancer Research BACKGROUND: Uterine corpus endometrial carcinoma (UCEC) is the most common female pelvic malignancy worldwide. N6-methyladenosine (m(6)A) plays an important role in various cellular responses, especially in cancer progression. However, the correlation between prognostic UCEC and m(6)A RNA methylation regulators remains unclear. METHODS: We used The Cancer Genome Atlas (TCGA) to provide a gene signature that could improve the prognostic evaluation of UCEC patients according to the distinct genetic trait of m(6)A RNA methylation regulators from a bioinformatics perspective. After comparing UCEC subgroups with different genetic profiles of m(6)A regulators, we identified 71 differentially expressed genes associated with overall survival (OS) and generated a nine-gene signature through least absolute shrinkage and selection operator (LASSO) Cox regression analysis. Finally, we used in vitro and in vivo tumor cell experiments as well as the immune correlation analysis to verify the function of each gene in the proposed gene signature. RESULTS: Time-dependent receiver operating characteristic (ROC) curves revealed that the proposed gene signature could predict the outcome of UCEC patients accurately. We found that CDKN2A mainly acted from the perspective of tumor cells, while COL4A4, PXDN, TIGIT, CHODL, LMO3, KCNJ12, L1CAM, and EPHB1 might play a role in UCEC from an immunological point of view. CONCLUSIONS: From an epigenetics perspective, the m6A RNA methylation regulator-based gene signature can predict the prognosis of UCEC patients and immune therapeutic efficacy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-10490-x. BioMed Central 2022-12-29 /pmc/articles/PMC9801604/ /pubmed/36581816 http://dx.doi.org/10.1186/s12885-022-10490-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Fang, Fang Wang, Peipei Huang, Haoyu Ye, Mingquan Liu, Xiaocen Li, Qingqing m(6)A RNA methylation regulator-based signature for prognostic prediction and its potential immunological role in uterine corpus endometrial carcinoma |
title | m(6)A RNA methylation regulator-based signature for prognostic prediction and its potential immunological role in uterine corpus endometrial carcinoma |
title_full | m(6)A RNA methylation regulator-based signature for prognostic prediction and its potential immunological role in uterine corpus endometrial carcinoma |
title_fullStr | m(6)A RNA methylation regulator-based signature for prognostic prediction and its potential immunological role in uterine corpus endometrial carcinoma |
title_full_unstemmed | m(6)A RNA methylation regulator-based signature for prognostic prediction and its potential immunological role in uterine corpus endometrial carcinoma |
title_short | m(6)A RNA methylation regulator-based signature for prognostic prediction and its potential immunological role in uterine corpus endometrial carcinoma |
title_sort | m(6)a rna methylation regulator-based signature for prognostic prediction and its potential immunological role in uterine corpus endometrial carcinoma |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9801604/ https://www.ncbi.nlm.nih.gov/pubmed/36581816 http://dx.doi.org/10.1186/s12885-022-10490-x |
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