2020
DOI: 10.1016/j.ejso.2019.11.003
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Should we invest in biological age predictors to treat colorectal cancer in older adults?

Abstract: Colorectal cancer (CRC) is a chronic disease of the old population with slow development progressing into clinical signs and symptoms. Biological aging is characterized by e.g. mitochondrial dysfunction and epigenetic alterations (e.g. methylation)-mechanisms that are also important in cancer development. For CRC, specific types of tumors are distinguishable by their methylation patterns and several detection methods using different epigenetic marks have been developed as signatures for the disease. Biological… Show more

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Cited by 17 publications
(7 citation statements)
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“…BA predictors may help discover drivers of the aging process and can be used for secondary prevention by identifying at-risk individuals prior to disease onset. Additionally, they have been proposed as tools to monitor intervention or treatment effects aimed at targeting the aging process 5 .…”
Section: Introductionmentioning
confidence: 99%
“…BA predictors may help discover drivers of the aging process and can be used for secondary prevention by identifying at-risk individuals prior to disease onset. Additionally, they have been proposed as tools to monitor intervention or treatment effects aimed at targeting the aging process 5 .…”
Section: Introductionmentioning
confidence: 99%
“…The incidence of colorectal cancer increases with age. Biological aging is associated with genomic instability, mitochondrial dysfunction, epigenetic changes, increased cellular vulnerability, and telomeric erosion [ 12 , 13 ].…”
Section: Resultsmentioning
confidence: 99%
“…Herein, using transcriptome, DNA methylation, and driver mutations of CRC, we developed a classifier based on multi-omics integration for the prognosis prediction of CRC for the first time. At present, many studies have proved that CRC is the result of accumulation of multiple gene mutations and epigenetic modifications, and DNA hypermethylation or hypomethylation can be used as epigenetic biomarkers to predict the occurrence and prognostic effects of CRC (75)(76)(77). Driver mutations in the genome can be viewed as responsible for molecular changes associated with CRC progression, so targeting such genes for the elimination of multiple CRC gene dependencies could significantly improve efficacy (78).…”
Section: Discussionmentioning
confidence: 99%