A signature of 18 immune ‐related gene pairs to predict the prognosis of pancreatic cancer patients

In our study, we aimed to construct an immune ‐related gene pairs (IRGPs) signature to predict the prognosis of pancreatic cancer patients. We will verify the validity of our model by receiver operating characteristic curve, prognostic analysis, multivariate and univariate Cox proportional‐hazards analysis, and infiltration of different imm une cells. Unlike traditional model, the pairwise comparison of each IRGP and the calculation of the score were absolutely based on the genetic expressions in the same patient thus it is not a necessity in our IRGPs signature to standardize the genetic expression profiles from different sequencing p latforms. AbstractPancreatic cancer is one of the most lethal malignancies. With the promising prospects conveyed by immunotherapy in cancers, we aimed to construct an immune ‐related gene pairs (IRGPs) signature to predict the prognosis of pancreatic cancer patients. We downloaded clinical and transcriptional data of pancreatic cancer patients from The Cancer Genome Atlas data set as the training group and GSE57495 data set as the verification group. We filtered immun e‐related transcriptional data by IMMPORT. With the assistance of lasso penalized Cox regression, we constructed our prognostic IRGPs signature and divided all samples into high‐/low‐risk groups by receiver operating characteristic curve for further comparisons. The comparisons between high‐ and low‐risk groups including survival rate, multivariate, and univariate...
Source: Immunity, Inflammation and Disease - Category: Allergy & Immunology Authors: Tags: ORIGINAL RESEARCH Source Type: research