Identification of 5-methylcytosine-related signature for predicting prognosis in ovarian cancer

Abstract 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. Re...

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Autores principales:	Wang,Lei, Gao,Song
Lenguaje:	English
Publicado:	Sociedad de Biología de Chile 2021
Materias:	Ovarian cancer 5-methylcytosine Risk score Molecular subtypes
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-97602021000100218
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spelling	oai:scielo:S0716-976020210001002182021-07-19Identification of 5-methylcytosine-related signature for predicting prognosis in ovarian cancerWang,LeiGao,Song Ovarian cancer 5-methylcytosine Risk score Molecular subtypes Abstract 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. Conclusions: 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.info:eu-repo/semantics/openAccessSociedad de Biología de ChileBiological Research v.54 20212021-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-97602021000100218en10.1186/s40659-021-00340-8
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Ovarian cancer 5-methylcytosine Risk score Molecular subtypes
spellingShingle	Ovarian cancer 5-methylcytosine Risk score Molecular subtypes Wang,Lei Gao,Song Identification of 5-methylcytosine-related signature for predicting prognosis in ovarian cancer
description	Abstract 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. Conclusions: 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.
author	Wang,Lei Gao,Song
author_facet	Wang,Lei Gao,Song
author_sort	Wang,Lei
title	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_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_sort	identification of 5-methylcytosine-related signature for predicting prognosis in ovarian cancer
publisher	Sociedad de Biología de Chile
publishDate	2021
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-97602021000100218
work_keys_str_mv	AT wanglei identificationof5methylcytosinerelatedsignatureforpredictingprognosisinovariancancer AT gaosong identificationof5methylcytosinerelatedsignatureforpredictingprognosisinovariancancer
_version_	1718441617616011264

Identification of 5-methylcytosine-related signature for predicting prognosis in ovarian cancer

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