Relationship between a 7-mRNA signature of the pancreatic adenocarcinoma microenvironment and patient prognosis (a STROBE-compliant article)
| Autor: | Hai-Xing Jiang, Shanyu Qin, Qing-lin He, Xiang-lian Zhang |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Male
Oncology medicine.medical_specialty Stromal cell Observational Study Calcium ion transport Kaplan-Meier Estimate Adenocarcinoma survival Transcriptome 03 medical and health sciences 0302 clinical medicine Internal medicine Tumor Microenvironment pancreatic adenocarcinoma Humans Medicine RNA Messenger RNA Neoplasm 030212 general & internal medicine Proportional Hazards Models Plasma membrane part Tumor microenvironment business.industry Proportional hazards model General Medicine Prognosis medicine.disease microenvironment Gene Expression Regulation Neoplastic Pancreatic Neoplasms MRNA Sequencing the cancer genome atlas 030220 oncology & carcinogenesis business Research Article |
| Zdroj: | Medicine |
| ISSN: | 1536-5964 0025-7974 |
| DOI: | 10.1097/md.0000000000021287 |
| Popis: | The potential association between the prognosis of the pancreatic adenocarcinoma (PAAD) and its microenvironment is unclear. This study aims to construct a prognostic index (PI) model of the PAAD microenvironment to predict PAAD patient survival outcomes. The mRNA sequencing and the clinical parameters data were obtained from The Cancer Genome Atlas. Immune and stromal scores were computed using the expression data algorithm to capture infiltration of immune and stromal cells in the PAAD tissue, where patients were categorized as high and low score groups according to these scores. Differentially expressed genes were identified using the R package LIMMA. Univariate and multivariate Cox regression analysis were conducted to select candidate survival-correlated gene signatures from the tumor microenvironment for constructing a model. The Kaplan-Meier method was used to access overall survival of the primary and validation cohorts. The immunological features of the PI model was explored using the Tumor Immune Estimation Resource (TIMER) database. Bioinformatic analyses were conducted based on the DAVID database. A total of 1266 overlapping differentially expressed genes and 49 prognosis-associated genes were identified. A 7-mRNA signature (GBP5, BICC1, SLC7A14, CYSLTR1, P2RY6, VENTX, and RAB39B) was screened for the construction of a PI model (area under the curve = 0.791). In both the primary and validation cohorts, Kaplan Meier analysis revealed that the overall survival of the high-risk group was significantly worse compared to the low-risk group (P |
| Databáze: | OpenAIRE |
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