Unlocking Prognostic Potential: A Genomic Signature of Caloric Restriction in Patients With Epithelial Ovarian Cancer DOI Open Access
Ori Tal,

Tamar Zahavi,

Liat Anabel Sinberger

et al.

Published: June 24, 2024

Epithelial ovarian cancer significantly contributes to cancer-related mortality in women, often recurring post-treatment with chemotherapy resistance. Dietary interventions have demonstrated influence on progression; for instance, caloric restriction has exhibited tumor growth reduction and enhanced survival animal models. This study aims calculate a transcriptomic signature based caloric-restriction patients explore its correlation disease progression. We identified proteins modulated by fasting, intermittent fasting or human females. Based their gene expression, we calculated Non-Fasting Genomic Signature score samples from the TCGA database. examined association between this genomic profile clinical characteristics. The non-fasting signature, comprising eight genes, higher prevalence primary tumors compared normal tissue. Patients elevated expression reduced overall increased lymphatic invasion. mesenchymal subtype, associated resistance, displayed highest expression. Multivariate analysis suggested as potential independent prognostic factor. Ovarian expressing “non-fasting” transcriptional correlate poorer outcomes, emphasizing impact of improving patient treatment response. Further investigations, including trials, are warranted validate these findings.

Language: Английский

Unlocking Prognostic Potential: A Genomic Signature of Caloric Restriction in Patients With Epithelial Ovarian Cancer DOI Open Access
Ori Tal,

Tamar Zahavi,

Liat Anabel Sinberger

et al.

Published: June 24, 2024

Epithelial ovarian cancer significantly contributes to cancer-related mortality in women, often recurring post-treatment with chemotherapy resistance. Dietary interventions have demonstrated influence on progression; for instance, caloric restriction has exhibited tumor growth reduction and enhanced survival animal models. This study aims calculate a transcriptomic signature based caloric-restriction patients explore its correlation disease progression. We identified proteins modulated by fasting, intermittent fasting or human females. Based their gene expression, we calculated Non-Fasting Genomic Signature score samples from the TCGA database. examined association between this genomic profile clinical characteristics. The non-fasting signature, comprising eight genes, higher prevalence primary tumors compared normal tissue. Patients elevated expression reduced overall increased lymphatic invasion. mesenchymal subtype, associated resistance, displayed highest expression. Multivariate analysis suggested as potential independent prognostic factor. Ovarian expressing “non-fasting” transcriptional correlate poorer outcomes, emphasizing impact of improving patient treatment response. Further investigations, including trials, are warranted validate these findings.

Language: Английский

Citations

1