Cargando…
Identification of 5-methylcytosine-related signature for predicting prognosis in ovarian cancer
BACKGROUND: Ovarian cancer is one of the most common malignancies often resulting in a poor prognosis. 5-methylcytosine (m5C) is a common epigenetic modification with roles in eukaryotes. However, the expression and function of m5C regulatory factors in ovarian cancer remained unclear. RESULTS: Two...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8240302/ https://www.ncbi.nlm.nih.gov/pubmed/34187591 http://dx.doi.org/10.1186/s40659-021-00340-8 |
_version_ | 1783715187041239040 |
---|---|
author | Wang, Lei Gao, Song |
author_facet | Wang, Lei Gao, Song |
author_sort | Wang, Lei |
collection | PubMed |
description | BACKGROUND: Ovarian cancer is one of the most common malignancies often resulting in a poor prognosis. 5-methylcytosine (m5C) is a common epigenetic modification with roles in eukaryotes. However, the expression and function of m5C regulatory factors in ovarian cancer remained unclear. RESULTS: Two molecular subtypes with different prognostic and clinicopathological features were identified based on m5C regulatory factors. Meanwhile, functional annotation showed that in the two subtypes, 452 differentially expressed genes were significantly related to the malignant progression of ovarian cancer. Subsequently, four m5C genes were screened to construct a risk marker predictive of overall survival and indicative of clinicopathological features of ovarian cancer, also the robustness of the risk marker was verified in external dataset and internal validation set. multifactorial cox regression analysis and nomogram demonstrated that risk score was an independent prognostic factor for ovarian cancer prognosis. CONCLUSION: In conclusion, our results revealed that m5C-related genes play a critical role in tumor progression in ovarian cancer. Further detection of m5C methylation could provide a novel targeted therapy for treating ovarian cancer. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40659-021-00340-8. |
format | Online Article Text |
id | pubmed-8240302 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82403022021-06-30 Identification of 5-methylcytosine-related signature for predicting prognosis in ovarian cancer Wang, Lei Gao, Song Biol Res Research Article BACKGROUND: Ovarian cancer is one of the most common malignancies often resulting in a poor prognosis. 5-methylcytosine (m5C) is a common epigenetic modification with roles in eukaryotes. However, the expression and function of m5C regulatory factors in ovarian cancer remained unclear. RESULTS: Two molecular subtypes with different prognostic and clinicopathological features were identified based on m5C regulatory factors. Meanwhile, functional annotation showed that in the two subtypes, 452 differentially expressed genes were significantly related to the malignant progression of ovarian cancer. Subsequently, four m5C genes were screened to construct a risk marker predictive of overall survival and indicative of clinicopathological features of ovarian cancer, also the robustness of the risk marker was verified in external dataset and internal validation set. multifactorial cox regression analysis and nomogram demonstrated that risk score was an independent prognostic factor for ovarian cancer prognosis. CONCLUSION: In conclusion, our results revealed that m5C-related genes play a critical role in tumor progression in ovarian cancer. Further detection of m5C methylation could provide a novel targeted therapy for treating ovarian cancer. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40659-021-00340-8. BioMed Central 2021-06-29 /pmc/articles/PMC8240302/ /pubmed/34187591 http://dx.doi.org/10.1186/s40659-021-00340-8 Text en © The Author(s) 2021 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 Article Wang, Lei Gao, Song Identification of 5-methylcytosine-related signature for predicting prognosis in ovarian cancer |
title | Identification of 5-methylcytosine-related signature for predicting prognosis in ovarian cancer |
title_full | Identification of 5-methylcytosine-related signature for predicting prognosis in ovarian cancer |
title_fullStr | Identification of 5-methylcytosine-related signature for predicting prognosis in ovarian cancer |
title_full_unstemmed | Identification of 5-methylcytosine-related signature for predicting prognosis in ovarian cancer |
title_short | Identification of 5-methylcytosine-related signature for predicting prognosis in ovarian cancer |
title_sort | identification of 5-methylcytosine-related signature for predicting prognosis in ovarian cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8240302/ https://www.ncbi.nlm.nih.gov/pubmed/34187591 http://dx.doi.org/10.1186/s40659-021-00340-8 |
work_keys_str_mv | AT wanglei identificationof5methylcytosinerelatedsignatureforpredictingprognosisinovariancancer AT gaosong identificationof5methylcytosinerelatedsignatureforpredictingprognosisinovariancancer |