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Journal Article Ppublish 10 citations

PubMed: 39432147 DOI: 10.1007/s11357-024-01384-w

Senescence-related genes as prognostic indicators in breast cancer survival.

Geroscience 47(3):2995-3006

Authors: Zoltan Ungvari, Anna Ungvari, Monika Fekete, Csaba Kiss, Balázs Győrffy

Affiliations

  • Vascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
  • Stephenson Cancer Center, University of Oklahoma, Oklahoma City, OK, USA.
  • Oklahoma Center for Geroscience and Healthy Brain Aging, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
  • Department of Health Promotion Sciences, College of Public Health, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
  • International Training Program in Geroscience, Doctoral College/Institute of Preventive Medicine and Public Health, Semmelweis University, Budapest, Hungary.
  • Healthy Aging Program, Institute of Preventive Medicine and Public Health, Semmelweis University, Budapest, Hungary.
  • Healthy Aging Program, Institute of Preventive Medicine and Public Health, Semmelweis University, Budapest, Hungary.
  • Doctoral College, Health Sciences Program, Semmelweis University, Budapest, Hungary.
  • Department of Bioinformatics, Semmelweis University, 1094, Budapest, Hungary.
  • Cancer Biomarker Research Group, Institute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, 1117, Budapest, Hungary.
  • Department of Biophysics, Medical School, University of Pecs, 7624, Pecs, Hungary.

Abstract

Breast cancer is a leading cause of cancer-related mortality among women worldwide, particularly affecting those in their later years. As the incidence of breast cancer increases with age, understanding the biological mechanisms that link aging and cancer becomes crucial. Cellular senescence, a hallmark of aging, plays a dual role in cancer by inhibiting tumorigenesis while also contributing to tumor progression through the senescence-associated secretory phenotype (SASP). This study aims to investigate the prognostic significance of senescence-related genes in breast cancer. We utilized the SenMayo gene list, a comprehensive set of senescence-related genes, to analyze gene expression data from a large cohort of breast cancer samples. The data was sourced from the Kaplan-Meier plotter, an integrated database that compiles gene expression information from multiple independent cohorts. Cox proportional hazards regression and false discovery rate (FDR) corrections were employed to evaluate the correlation between gene expression and survival outcomes, aiming to establish a prognostic signature. Our findings demonstrate that higher expression levels of senescence-related genes are significantly associated with improved survival, while lower expression levels correlate with shorter survival outcomes. These results suggest that senescence-related pathways play a protective role in breast cancer, potentially serving as valuable prognostic indicators. The identification of a prognostic signature based on senescence-related genes underscores the importance of cellular senescence in breast cancer progression and survival. Our study highlights the potential of senescence-related biomarkers in enhancing patient stratification and informing treatment strategies, contributing to the growing body of literature on the intersection of aging and cancer.

MeSH

Genes, Breast Neoplasms, Aging, Neoplasms, Cellular Senescence, Aged, Breast, Gene Expression

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