Back to Search
Start Over
Integration of Genomic and Transcriptional Features in Pancreatic Cancer Reveals Increased Cell Cycle Progression in Metastases
- Source :
- Cancer Cell. 35:267-282.e7
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- We integrated clinical, genomic, and transcriptomic data from 224 primaries and 95 metastases from 289 patients to characterize progression of pancreatic ductal adenocarcinoma (PDAC). Driver gene alterations and mutational and expression-based signatures were preserved, with truncations, inversions, and translocations most conserved. Cell cycle progression (CCP) increased with sequential inactivation of tumor suppressors, yet remained higher in metastases, perhaps driven by cell cycle regulatory gene variants. Half of the cases were hypoxic by expression markers, overlapping with molecular subtypes. Paired tumor heterogeneity showed cancer cell migration by Halstedian progression. Multiple PDACs arising synchronously and metachronously in the same pancreas were actually intra-parenchymal metastases, not independent primary tumors. Established clinical co-variates dominated survival analyses, although CCP and hypoxia may inform clinical practice.
- Subjects :
- 0301 basic medicine
Cancer Research
Transcription, Genetic
Cell Cycle Proteins
Chromosomal translocation
Biology
Article
law.invention
Transcriptome
Mice
03 medical and health sciences
0302 clinical medicine
Cell Movement
law
Pancreatic cancer
Biomarkers, Tumor
medicine
Animals
Humans
Genetic Predisposition to Disease
Neoplasm Invasiveness
Israel
Gene
Cell Proliferation
Regulator gene
Cell Cycle
Liver Neoplasms
Cell Biology
Cell cycle
medicine.disease
Gene Expression Regulation, Neoplastic
Pancreatic Neoplasms
Phenotype
030104 developmental biology
medicine.anatomical_structure
Oncology
030220 oncology & carcinogenesis
Mutation
North America
Cancer research
Tumor Hypoxia
Suppressor
Pancreas
Carcinoma, Pancreatic Ductal
Transcription Factors
Subjects
Details
- ISSN :
- 15356108
- Volume :
- 35
- Database :
- OpenAIRE
- Journal :
- Cancer Cell
- Accession number :
- edsair.doi.dedup.....1f1e15f66233e34fe9dcc063b7898c0a
- Full Text :
- https://doi.org/10.1016/j.ccell.2018.12.010