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Identification of polymorphisms in cancer patients that differentially affect survival with age.

Publication ,  Journal Article
Doherty, A; Kernogitski, Y; Kulminski, AM; Pedro de Magalhães, J
Published in: Aging
October 2017

The World Health Organization predicts that the proportion of the world's population over 60 will almost double from 12% to 22% between 2015 and 2050. Ageing is the biggest risk factor for cancer, which is a leading cause of deaths worldwide. Unfortunately, research describing how genetic variants affect cancer progression commonly neglects to account for the ageing process. Herein is the first systematic analysis that combines a large longitudinal data set with a targeted candidate gene approach to examine the effect of genetic variation on survival as a function of age in cancer patients. Survival was significantly decreased in individuals with heterozygote or rare homozygote (i.e. variant) genotypes compared to those with a common homozygote genotype (i.e. wild type) for two single nucleotide polymorphisms (rs11574358 and rs4147918), one gene (SIRT3) and one pathway (FoxO signalling) in an age-dependent manner. All identified genes and pathways have previously been associated with ageing and cancer. These observations demonstrate that there are ageing-related genetic elements that differentially affect mortality in cancer patients in an age-dependent manner. Understanding the genetic determinants affecting prognosis differently with age will be invaluable to develop age-specific prognostic biomarkers and personalized therapies that may improve clinical outcomes for older individuals.

Duke Scholars

Published In

Aging

DOI

EISSN

1945-4589

ISSN

1945-4589

Publication Date

October 2017

Volume

9

Issue

10

Start / End Page

2117 / 2136

Related Subject Headings

  • Proportional Hazards Models
  • Prognosis
  • Polymorphism, Single Nucleotide
  • Neoplasms
  • Middle Aged
  • Male
  • Kaplan-Meier Estimate
  • Humans
  • Female
  • Developmental Biology
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Doherty, A., Kernogitski, Y., Kulminski, A. M., & Pedro de Magalhães, J. (2017). Identification of polymorphisms in cancer patients that differentially affect survival with age. Aging, 9(10), 2117–2136. https://doi.org/10.18632/aging.101305
Doherty, Aoife, Yelena Kernogitski, Alexander M. Kulminski, and João Pedro de Magalhães. “Identification of polymorphisms in cancer patients that differentially affect survival with age.Aging 9, no. 10 (October 2017): 2117–36. https://doi.org/10.18632/aging.101305.
Doherty A, Kernogitski Y, Kulminski AM, Pedro de Magalhães J. Identification of polymorphisms in cancer patients that differentially affect survival with age. Aging. 2017 Oct;9(10):2117–36.
Doherty, Aoife, et al. “Identification of polymorphisms in cancer patients that differentially affect survival with age.Aging, vol. 9, no. 10, Oct. 2017, pp. 2117–36. Epmc, doi:10.18632/aging.101305.
Doherty A, Kernogitski Y, Kulminski AM, Pedro de Magalhães J. Identification of polymorphisms in cancer patients that differentially affect survival with age. Aging. 2017 Oct;9(10):2117–2136.

Published In

Aging

DOI

EISSN

1945-4589

ISSN

1945-4589

Publication Date

October 2017

Volume

9

Issue

10

Start / End Page

2117 / 2136

Related Subject Headings

  • Proportional Hazards Models
  • Prognosis
  • Polymorphism, Single Nucleotide
  • Neoplasms
  • Middle Aged
  • Male
  • Kaplan-Meier Estimate
  • Humans
  • Female
  • Developmental Biology