Unlocking prognostic potential: A genomic signature of caloric restriction in patients with epithelial ovarian cancer
Epithelial ovarian cancer is a significant contributor to cancer-related mortality in women, frequently recurring post-treatment, often accompanied by chemotherapy resistance. Dietary interventions have demonstrated influence on cancer progression; for instance, caloric restriction has exhibited tum...
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| creator | Tal, Ori Zahavi, Tamar Sinberger, Liat Anabel Salmon-Divon, Mali |
| description | Epithelial ovarian cancer is a significant contributor to cancer-related mortality in women, frequently recurring post-treatment, often accompanied by chemotherapy resistance. Dietary interventions have demonstrated influence on cancer progression; for instance, caloric restriction has exhibited tumor growth reduction and enhanced survival in animal cancer models. In this study, we calculated a transcriptomic signature based on caloric-restriction for ovarian cancer patients and explored its correlation with ovarian cancer progression.
We conducted a literature search to identify proteins modulated by fasting, intermittent fasting or prolonged caloric restriction in human females. Based on the gene expression of these proteins, we calculated a Non-Fasting Genomic Signature score for each ovarian cancer sample sourced from the Cancer Genome Atlas (TCGA) database. Subsequently, we examined the association between this genomic profile and various clinical characteristics.
The non-fasting genomic signature, comprising eight genes, demonstrated higher prevalence in primary ovarian tumors compared to normal tissue. Patients with elevated signature expression exhibited reduced overall survival and increased lymphatic invasion. The mesenchymal subtype, associated with chemotherapy resistance, displayed the highest signature expression. Multivariate analysis suggested the non-fasting genomic signature as a potential independent prognostic factor.
Ovarian cancer tumors expressing a "non-fasting" transcriptional profile correlate with poorer outcomes, emphasizing the potential impact of caloric restriction in improving patient survival and treatment response. Further investigations, including clinical trials, are warranted to validate these findings and explore the broader applicability of non-fasting genomic signatures in other cancer types. |
| doi_str_mv | 10.1371/journal.pone.0317502 |
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We conducted a literature search to identify proteins modulated by fasting, intermittent fasting or prolonged caloric restriction in human females. Based on the gene expression of these proteins, we calculated a Non-Fasting Genomic Signature score for each ovarian cancer sample sourced from the Cancer Genome Atlas (TCGA) database. Subsequently, we examined the association between this genomic profile and various clinical characteristics.
The non-fasting genomic signature, comprising eight genes, demonstrated higher prevalence in primary ovarian tumors compared to normal tissue. Patients with elevated signature expression exhibited reduced overall survival and increased lymphatic invasion. The mesenchymal subtype, associated with chemotherapy resistance, displayed the highest signature expression. Multivariate analysis suggested the non-fasting genomic signature as a potential independent prognostic factor.
Ovarian cancer tumors expressing a "non-fasting" transcriptional profile correlate with poorer outcomes, emphasizing the potential impact of caloric restriction in improving patient survival and treatment response. Further investigations, including clinical trials, are warranted to validate these findings and explore the broader applicability of non-fasting genomic signatures in other cancer types.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0317502</identifier><identifier>PMID: 39821197</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Aged ; Animal models ; Biology and Life Sciences ; Caloric Restriction ; Cancer ; Cancer patients ; Carcinoma, Ovarian Epithelial - genetics ; Carcinoma, Ovarian Epithelial - pathology ; Chemoresistance ; Chemotherapy ; Clinical trials ; Development and progression ; Dietary restrictions ; Fasting ; Female ; Gene expression ; Gene Expression Regulation, Neoplastic ; Genes ; Genetic aspects ; Genomes ; Genomic analysis ; Genomics ; Genomics - methods ; Humans ; Literature reviews ; Mann-Whitney U test ; Medicine and Health Sciences ; Middle Aged ; Multivariate analysis ; Oncology, Experimental ; Ovarian cancer ; Ovarian Neoplasms - genetics ; Ovarian Neoplasms - pathology ; Patients ; Prognosis ; Prostate ; Proteins ; Stem cells ; Survival ; Survival analysis ; Transcriptome ; Transcriptomics ; Tumors</subject><ispartof>PloS one, 2025-01, Vol.20 (1), p.e0317502</ispartof><rights>Copyright: © 2025 Tal et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2025 Public Library of Science</rights><rights>2025 Tal et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2025 Tal et al 2025 Tal et al</rights><rights>2025 Tal et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c4872-c1331c862da3576cd2b0d3d859b30c7318f0df682b1430c92ea3f3fb371ed2493</cites><orcidid>0000-0002-7272-0846 ; 0000-0001-7582-0781</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11737700/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11737700/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23847,27903,27904,53769,53771,79346,79347</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39821197$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Carrasco, Alexis G. Murillo</contributor><creatorcontrib>Tal, Ori</creatorcontrib><creatorcontrib>Zahavi, Tamar</creatorcontrib><creatorcontrib>Sinberger, Liat Anabel</creatorcontrib><creatorcontrib>Salmon-Divon, Mali</creatorcontrib><title>Unlocking prognostic potential: A genomic signature of caloric restriction in patients with epithelial ovarian cancer</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Epithelial ovarian cancer is a significant contributor to cancer-related mortality in women, frequently recurring post-treatment, often accompanied by chemotherapy resistance. Dietary interventions have demonstrated influence on cancer progression; for instance, caloric restriction has exhibited tumor growth reduction and enhanced survival in animal cancer models. In this study, we calculated a transcriptomic signature based on caloric-restriction for ovarian cancer patients and explored its correlation with ovarian cancer progression.
We conducted a literature search to identify proteins modulated by fasting, intermittent fasting or prolonged caloric restriction in human females. Based on the gene expression of these proteins, we calculated a Non-Fasting Genomic Signature score for each ovarian cancer sample sourced from the Cancer Genome Atlas (TCGA) database. Subsequently, we examined the association between this genomic profile and various clinical characteristics.
The non-fasting genomic signature, comprising eight genes, demonstrated higher prevalence in primary ovarian tumors compared to normal tissue. Patients with elevated signature expression exhibited reduced overall survival and increased lymphatic invasion. The mesenchymal subtype, associated with chemotherapy resistance, displayed the highest signature expression. Multivariate analysis suggested the non-fasting genomic signature as a potential independent prognostic factor.
Ovarian cancer tumors expressing a "non-fasting" transcriptional profile correlate with poorer outcomes, emphasizing the potential impact of caloric restriction in improving patient survival and treatment response. Further investigations, including clinical trials, are warranted to validate these findings and explore the broader applicability of non-fasting genomic signatures in other cancer types.</description><subject>Aged</subject><subject>Animal models</subject><subject>Biology and Life Sciences</subject><subject>Caloric Restriction</subject><subject>Cancer</subject><subject>Cancer patients</subject><subject>Carcinoma, Ovarian Epithelial - genetics</subject><subject>Carcinoma, Ovarian Epithelial - pathology</subject><subject>Chemoresistance</subject><subject>Chemotherapy</subject><subject>Clinical trials</subject><subject>Development and progression</subject><subject>Dietary restrictions</subject><subject>Fasting</subject><subject>Female</subject><subject>Gene expression</subject><subject>Gene Expression Regulation, Neoplastic</subject><subject>Genes</subject><subject>Genetic aspects</subject><subject>Genomes</subject><subject>Genomic analysis</subject><subject>Genomics</subject><subject>Genomics - 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genetics</topic><topic>Carcinoma, Ovarian Epithelial - pathology</topic><topic>Chemoresistance</topic><topic>Chemotherapy</topic><topic>Clinical trials</topic><topic>Development and progression</topic><topic>Dietary restrictions</topic><topic>Fasting</topic><topic>Female</topic><topic>Gene expression</topic><topic>Gene Expression Regulation, Neoplastic</topic><topic>Genes</topic><topic>Genetic aspects</topic><topic>Genomes</topic><topic>Genomic analysis</topic><topic>Genomics</topic><topic>Genomics - methods</topic><topic>Humans</topic><topic>Literature reviews</topic><topic>Mann-Whitney U test</topic><topic>Medicine and Health Sciences</topic><topic>Middle Aged</topic><topic>Multivariate analysis</topic><topic>Oncology, Experimental</topic><topic>Ovarian cancer</topic><topic>Ovarian Neoplasms - genetics</topic><topic>Ovarian Neoplasms - pathology</topic><topic>Patients</topic><topic>Prognosis</topic><topic>Prostate</topic><topic>Proteins</topic><topic>Stem cells</topic><topic>Survival</topic><topic>Survival analysis</topic><topic>Transcriptome</topic><topic>Transcriptomics</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tal, Ori</creatorcontrib><creatorcontrib>Zahavi, Tamar</creatorcontrib><creatorcontrib>Sinberger, Liat Anabel</creatorcontrib><creatorcontrib>Salmon-Divon, Mali</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Murillo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Unlocking prognostic potential: A genomic signature of caloric restriction in patients with epithelial ovarian cancer</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2025-01-16</date><risdate>2025</risdate><volume>20</volume><issue>1</issue><spage>e0317502</spage><pages>e0317502-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Epithelial ovarian cancer is a significant contributor to cancer-related mortality in women, frequently recurring post-treatment, often accompanied by chemotherapy resistance. Dietary interventions have demonstrated influence on cancer progression; for instance, caloric restriction has exhibited tumor growth reduction and enhanced survival in animal cancer models. In this study, we calculated a transcriptomic signature based on caloric-restriction for ovarian cancer patients and explored its correlation with ovarian cancer progression.
We conducted a literature search to identify proteins modulated by fasting, intermittent fasting or prolonged caloric restriction in human females. Based on the gene expression of these proteins, we calculated a Non-Fasting Genomic Signature score for each ovarian cancer sample sourced from the Cancer Genome Atlas (TCGA) database. Subsequently, we examined the association between this genomic profile and various clinical characteristics.
The non-fasting genomic signature, comprising eight genes, demonstrated higher prevalence in primary ovarian tumors compared to normal tissue. Patients with elevated signature expression exhibited reduced overall survival and increased lymphatic invasion. The mesenchymal subtype, associated with chemotherapy resistance, displayed the highest signature expression. Multivariate analysis suggested the non-fasting genomic signature as a potential independent prognostic factor.
Ovarian cancer tumors expressing a "non-fasting" transcriptional profile correlate with poorer outcomes, emphasizing the potential impact of caloric restriction in improving patient survival and treatment response. Further investigations, including clinical trials, are warranted to validate these findings and explore the broader applicability of non-fasting genomic signatures in other cancer types.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>39821197</pmid><doi>10.1371/journal.pone.0317502</doi><tpages>e0317502</tpages><orcidid>https://orcid.org/0000-0002-7272-0846</orcidid><orcidid>https://orcid.org/0000-0001-7582-0781</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Aged Animal models Biology and Life Sciences Caloric Restriction Cancer Cancer patients Carcinoma, Ovarian Epithelial - genetics Carcinoma, Ovarian Epithelial - pathology Chemoresistance Chemotherapy Clinical trials Development and progression Dietary restrictions Fasting Female Gene expression Gene Expression Regulation, Neoplastic Genes Genetic aspects Genomes Genomic analysis Genomics Genomics - methods Humans Literature reviews Mann-Whitney U test Medicine and Health Sciences Middle Aged Multivariate analysis Oncology, Experimental Ovarian cancer Ovarian Neoplasms - genetics Ovarian Neoplasms - pathology Patients Prognosis Prostate Proteins Stem cells Survival Survival analysis Transcriptome Transcriptomics Tumors |
| title | Unlocking prognostic potential: A genomic signature of caloric restriction in patients with epithelial ovarian cancer |
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