RNA sequencing of pancreatic adenocarcinoma tumors yields novel expression patterns associated with long-term survival and reveals a role for ANGPTL4
| Autor: | Katherine C. Sexton, Sara J. Cooper, Martin J. Heslin, Nicholas S. Davis, Donald J. Buchsbaum, Ryne C. Ramaker, James Posey, Edward W Greeno, John D. Christein, Patsy G. Oliver, Selwyn M. Vickers, Jason Gertz, William E. Grizzle, Marie K. Kirby, Bobbi E Johnston, Richard M. Myers |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Male
0301 basic medicine Oncology Cancer Research medicine.medical_specialty Time Factors RNA-Seq Kaplan-Meier Estimate Adenocarcinoma Deoxycytidine 03 medical and health sciences 0302 clinical medicine ANGPTL4 Internal medicine Gene expression Genetics medicine Angiopoietin-Like Protein 4 Humans RNA Messenger Research Articles Aged Cell Proliferation Sequence Analysis RNA business.industry Gene Expression Profiling RNA Genomic signature General Medicine Middle Aged medicine.disease Survival Analysis Gemcitabine Gene Expression Regulation Neoplastic Pancreatic Neoplasms 030104 developmental biology ROC Curve Gene Knockdown Techniques 030220 oncology & carcinogenesis Cohort Molecular Medicine Female business Angiopoietins medicine.drug |
| Zdroj: | Molecular Oncology. 10:1169-1182 |
| ISSN: | 1574-7891 |
| DOI: | 10.1016/j.molonc.2016.05.004 |
| Popis: | Background Pancreatic adenocarcinoma patients have low survival rates due to late-stage diagnosis and high rates of cancer recurrence even after surgical resection. It is important to understand the molecular characteristics associated with survival differences in pancreatic adenocarcinoma tumors that may inform patient care. Results RNA sequencing was performed for 51 patient tumor tissues extracted from patients undergoing surgical resection, and expression was associated with overall survival time from diagnosis. Our analysis uncovered 323 transcripts whose expression correlates with survival time in our pancreatic patient cohort. This genomic signature was validated in an independent RNA-seq dataset of 68 additional patients from the International Cancer Genome Consortium. We demonstrate that this transcriptional profile is largely independent of markers of cellular division and present a 19-transcript predictive model built from a subset of the 323 transcripts that can distinguish patients with differing survival times across both the training and validation patient cohorts. We present evidence that a subset of the survival-associated transcripts is associated with resistance to gemcitabine treatment in vitro, and reveal that reduced expression of one of the survival-associated transcripts, Angiopoietin-like 4, impairs growth of a gemcitabine-resistant pancreatic cancer cell line. Conclusions Gene expression patterns in pancreatic adenocarcinoma tumors can distinguish patients with differing survival outcomes after undergoing surgical resection, and the survival difference could be associated with the intrinsic gemcitabine sensitivity of primary patient tumors. Thus, these transcriptional differences may impact patient care by distinguishing patients who would benefit from a non-gemcitabine based therapy. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Plný text