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Deregulated Metabolic Pathways in Ovarian Cancer: Cause and Consequence
Ovarian cancers are tumors that originate from the different cells of the ovary and account for almost 4% of all the cancers in women globally. More than 30 types of tumors have been identified based on the cellular origins. Epithelial ovarian cancer (EOC) is the most common and lethal type of ovari...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10141515/ https://www.ncbi.nlm.nih.gov/pubmed/37110218 http://dx.doi.org/10.3390/metabo13040560 |
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author | Murali, Roopak Balasubramaniam, Vaishnavi Srinivas, Satish Sundaram, Sandhya Venkatraman, Ganesh Warrier, Sudha Dharmarajan, Arun Gandhirajan, Rajesh Kumar |
author_facet | Murali, Roopak Balasubramaniam, Vaishnavi Srinivas, Satish Sundaram, Sandhya Venkatraman, Ganesh Warrier, Sudha Dharmarajan, Arun Gandhirajan, Rajesh Kumar |
author_sort | Murali, Roopak |
collection | PubMed |
description | Ovarian cancers are tumors that originate from the different cells of the ovary and account for almost 4% of all the cancers in women globally. More than 30 types of tumors have been identified based on the cellular origins. Epithelial ovarian cancer (EOC) is the most common and lethal type of ovarian cancer which can be further divided into high-grade serous, low-grade serous, endometrioid, clear cell, and mucinous carcinoma. Ovarian carcinogenesis has been long attributed to endometriosis which is a chronic inflammation of the reproductive tract leading to progressive accumulation of mutations. Due to the advent of multi-omics datasets, the consequences of somatic mutations and their role in altered tumor metabolism has been well elucidated. Several oncogenes and tumor suppressor genes have been implicated in the progression of ovarian cancer. In this review, we highlight the genetic alterations undergone by the key oncogenes and tumor suppressor genes responsible for the development of ovarian cancer. We also summarize the role of these oncogenes and tumor suppressor genes and their association with a deregulated network of fatty acid, glycolysis, tricarboxylic acid and amino acid metabolism in ovarian cancers. Identification of genomic and metabolic circuits will be useful in clinical stratification of patients with complex etiologies and in identifying drug targets for personalized therapies against cancer. |
format | Online Article Text |
id | pubmed-10141515 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-101415152023-04-29 Deregulated Metabolic Pathways in Ovarian Cancer: Cause and Consequence Murali, Roopak Balasubramaniam, Vaishnavi Srinivas, Satish Sundaram, Sandhya Venkatraman, Ganesh Warrier, Sudha Dharmarajan, Arun Gandhirajan, Rajesh Kumar Metabolites Review Ovarian cancers are tumors that originate from the different cells of the ovary and account for almost 4% of all the cancers in women globally. More than 30 types of tumors have been identified based on the cellular origins. Epithelial ovarian cancer (EOC) is the most common and lethal type of ovarian cancer which can be further divided into high-grade serous, low-grade serous, endometrioid, clear cell, and mucinous carcinoma. Ovarian carcinogenesis has been long attributed to endometriosis which is a chronic inflammation of the reproductive tract leading to progressive accumulation of mutations. Due to the advent of multi-omics datasets, the consequences of somatic mutations and their role in altered tumor metabolism has been well elucidated. Several oncogenes and tumor suppressor genes have been implicated in the progression of ovarian cancer. In this review, we highlight the genetic alterations undergone by the key oncogenes and tumor suppressor genes responsible for the development of ovarian cancer. We also summarize the role of these oncogenes and tumor suppressor genes and their association with a deregulated network of fatty acid, glycolysis, tricarboxylic acid and amino acid metabolism in ovarian cancers. Identification of genomic and metabolic circuits will be useful in clinical stratification of patients with complex etiologies and in identifying drug targets for personalized therapies against cancer. MDPI 2023-04-15 /pmc/articles/PMC10141515/ /pubmed/37110218 http://dx.doi.org/10.3390/metabo13040560 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Murali, Roopak Balasubramaniam, Vaishnavi Srinivas, Satish Sundaram, Sandhya Venkatraman, Ganesh Warrier, Sudha Dharmarajan, Arun Gandhirajan, Rajesh Kumar Deregulated Metabolic Pathways in Ovarian Cancer: Cause and Consequence |
title | Deregulated Metabolic Pathways in Ovarian Cancer: Cause and Consequence |
title_full | Deregulated Metabolic Pathways in Ovarian Cancer: Cause and Consequence |
title_fullStr | Deregulated Metabolic Pathways in Ovarian Cancer: Cause and Consequence |
title_full_unstemmed | Deregulated Metabolic Pathways in Ovarian Cancer: Cause and Consequence |
title_short | Deregulated Metabolic Pathways in Ovarian Cancer: Cause and Consequence |
title_sort | deregulated metabolic pathways in ovarian cancer: cause and consequence |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10141515/ https://www.ncbi.nlm.nih.gov/pubmed/37110218 http://dx.doi.org/10.3390/metabo13040560 |
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