Genomic Landscape of Pancreatic Adenocarcinoma in Younger versus Older Patients: Does Age Matter?
Adenocarcinoma
/ epidemiology
Adult
Age Factors
Aged
Aged, 80 and over
Biomarkers
Cohort Studies
Female
Genetic Predisposition to Disease
Genome-Wide Association Study
Genomics
/ methods
Humans
Kaplan-Meier Estimate
Male
Middle Aged
Neoplasm Staging
Pancreatic Neoplasms
/ epidemiology
SEER Program
Signal Transduction
Transforming Growth Factor beta
/ metabolism
Journal
Clinical cancer research : an official journal of the American Association for Cancer Research
ISSN: 1557-3265
Titre abrégé: Clin Cancer Res
Pays: United States
ID NLM: 9502500
Informations de publication
Date de publication:
01 04 2019
01 04 2019
Historique:
received:
15
09
2018
revised:
22
10
2018
accepted:
03
01
2019
pubmed:
9
1
2019
medline:
12
5
2020
entrez:
9
1
2019
Statut:
ppublish
Résumé
State-of-the-art genomic analyses of pancreatic adenocarcinoma (PDAC) have yielded insight into signaling pathways underlying carcinogenesis. PDAC is characterized by substantial genomic heterogeneity. We aimed to determine whether early-onset PDAC (EOPC; ≤55 years) displays a distinctive molecular landscape from average-age onset PDAC (AOPC; ≥70 years). Three distinct datasets for PDAC were analyzed. In the first, patients undergoing treatment at Memorial Sloan Kettering (MSK) were consented for MSK-IMPACT next-generation sequencing. The second cohort analyzed was The Cancer Genome Atlas (TCGA) dataset for differences in somatic mutations, gene expression, and protein expression. The third dataset was an Australian cohort of PDAC. Clinical data were correlated with genomic analyses. A total of 293 samples were analyzed, yielding 90 patients aged ≤55 years and 203 patients aged ≥70 years. Among the genes known to be associated with carcinogenesis, These exploratory analyses suggest that there may be somatic gene alterations within the population of patients with early-onset PDAC that involve unique cellular pathways compared with average-onset PDAC. Former studies imply these cellular pathways may play a role in smoking-related PDAC carcinogenesis. Larger genomic datasets are warranted for future evaluation to extend these observations.
Identifiants
pubmed: 30617137
pii: 1078-0432.CCR-18-3042
doi: 10.1158/1078-0432.CCR-18-3042
pmc: PMC6786265
mid: NIHMS1540616
doi:
Substances chimiques
Biomarkers
0
Transforming Growth Factor beta
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
2185-2193Subventions
Organisme : NCI NIH HHS
ID : P30 CA008748
Pays : United States
Informations de copyright
©2019 American Association for Cancer Research.
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