Englander Institute for Precision Medicine

Pan-cancer analysis reveals molecular patterns associated with age.

TitlePan-cancer analysis reveals molecular patterns associated with age.
Publication TypeJournal Article
Year of Publication2021
AuthorsShah Y, Verma A, Marderstein AR, White J, Bhinder B, J Medina SGarcia, Elemento O
JournalCell Rep
Volume37
Issue10
Pagination110100
Date Published2021 Dec 07
ISSN2211-1247
KeywordsAdult, Age Factors, Aged, Aged, 80 and over, Aging, Biomarkers, Tumor, Cell Proliferation, Cellular Senescence, Databases, Genetic, DNA Mutational Analysis, Gene Expression Profiling, Gene Expression Regulation, Neoplastic, Genomics, Humans, Middle Aged, Molecular Targeted Therapy, Mutation, Neoplasms, Precision Medicine, Signal Transduction, Tumor Microenvironment, Young Adult
Abstract

Older age is a strong risk factor for several diseases, including cancer. The etiology and biology of age-associated differences among cancers are poorly understood. To address this knowledge gap, we aim to delineate differences in tumor molecular characteristics between younger and older patients across a variety of tumor types from The Cancer Genome Atlas. We show that these groups exhibit widespread molecular differences in select tumor types. Our work shows that tumors in younger individuals exhibit a dysregulated molecular aging phenotype and are associated with hallmarks of premature senescence. Additionally, we find that these tumors are enriched for driver gene mutations, resulting in homologous recombination defects. Lastly, we observe a trend toward decreased immune infiltration and function in older patients and find that, immunologically, young tumor tissue resembles aged healthy tissue. Taken together, we find that tumors from young individuals possess unique characteristics that may be leveraged for therapy.

DOI10.1016/j.celrep.2021.110100
Alternate JournalCell Rep
PubMed ID34879281
Grant ListUL1 TR002384 / TR / NCATS NIH HHS / United States
UG3 CA244697 / CA / NCI NIH HHS / United States
R01 CA194547 / CA / NCI NIH HHS / United States

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