An Efficient Signature Based on Necroptosis-Related Genes for Prognosis of Patients With Pancreatic Cancer

Abstract

Pancreatic cancer (PCa) is a highly lethal and aggressive disease, characterized by high mortality rates. Although necroptosis plays a vital role in tumor progression, cancer metastasis, prognosis of cancer patients, necroptosis-related gene (NRG) sets have rarely been analyzed in PCa. Therefore, definition of novel necroptosis-related prognostic markers for PCa patients is urgently needed. Here, we screened 159 NRGs and identified 132 differentially expressed NRGs in The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) cohorts. Next, we employed univariate and multivariate Cox proportional regression models to establish a prognostic-related NRG signature comprising five NRGs that could stratify patients into high-risk and low-risk groups. Results from survival analysis showed that patients in the high-risk had dramatically shorter overall survival (OS) rates compared with their low-risk counterparts. Results from univariate and multivariate Cox regression analysis further confirmed the independent prognostic value of the established necroptosis-related signature, and the area under receiver (AUC) of the operating curve (ROC) for 1-, 3-, 5-years was 0.72, 0.74, and 0.75, respectively. Finally, we validated the signature efficacy using an independent cohort from the Gene Expression Omnibus (GEO) database. The ROC curve confirmed the predictive capacity of the five-gene signature. Furthermore, we validated expression of the signature proteins using the Human Protein Atlas (HPA) database. In conclusion, we successfully constructed a novel necroptosis-related signature for prognosis of patients with pancreatic cancer.

Construction of a Prognostic Model Based on Cuproptosis-Related lncRNA Signatures in Pancreatic Cancer

“…Gene signatures based on copper metabolism-related genes have been reported in a variety of tumor diseases, and prognostic models based on several biological functions have also been widely used in pancreatic cancer [4,[23][24][25][26]. We established a risk score to predict the prognosis of pancreatic cancer based on fve cuproptosis-related lncRNAs.…”

A necroptosis related prognostic model of pancreatic cancer based on single cell sequencing analysis and transcriptome analysis

“…Ding et al constructed a prognostic signature associated with necroptosis in pancreatic cancer by differential expression analysis and regression analysis, in which patients with risk scores may be correlated with chemotherapy sensitivity (34). Shi et al found that GLUD1, SPATA2, H2AC8, PYGL and TNFS10 among the genes related to necroptosis may be closely related to the prognosis of pancreatic cancer patients, and may be potentially Frontiers in Immunology frontiersin.org related to the activation of PI3K/AKT pathway (35). In contrast, our study is the first analysis of necroptosis associated genes in pancreatic cancer combined with a single cell sequencing dataset.…”

Establishment of a Novel Prognostic Prediction Model for Gastric Cancer Based on Necroptosis-Related Genes

“…On the other hand, necroptosis provides a favorable environment for tumor proliferation and metastasis [ 6 ]. Nowadays, necroptosis-related signatures have been built in several types of cancer [ 8 , 19 , 20 ]. Our study mainly investigated whether NAGs are correlated with the prognosis of GC and whether they could predict patient responses to immunotherapy.…”