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Development and validation of a fourteen- innate immunity-related gene pairs signature for predicting prognosis head and neck squamous cell carcinoma

Authors
  • Zhang, Fujun1
  • Liu, Yu2
  • Yang, Yixin1
  • Yang, Kai1
  • 1 the First Affiliated Hospital of Chongqing Medical University, No 1. Youyi Road, Yuzhong District, Chongqing, 400016, China , Chongqing (China)
  • 2 the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China , Chongqing (China)
Type
Published Article
Journal
BMC Cancer
Publisher
Springer (Biomed Central Ltd.)
Publication Date
Oct 20, 2020
Volume
20
Issue
1
Identifiers
DOI: 10.1186/s12885-020-07489-7
Source
Springer Nature
Keywords
License
Green

Abstract

BackgroundImmune-related genes is closely related to the occurrence and prognosis of head and neck squamous cell carcinoma (HNSCC). At the same time, immune-related genes have great potential as prognostic markers in many types of cancer. The prognosis of HNSCC is still poor currently, and it may be effective to predict the clinical outcome of HNSCC by immunogenic analysis.MethodsRNASeq and clinical follow-up information were downloaded from The Cancer Genome Atlas (TCGA), the MINiML format GSE65858 chip expression data was downloaded from NCBI, and immune-related genes was downloaded from the InnateDB database. Immune-related genes in 519 HNSC patients were integrated from TCGA dataset. By using multivariate COX analysis and Lasso regression, robust immune-related gene pairs (IRGPs) that predict clinical outcomes of HNSCC were identified. Finally, a risk prognostic model related to immune gene pair was established and verified by clinical features, test sets and GEO external validation set.ResultsA total of 699 IRGPs were significantly correlated with the prognosis of HNSCC patients. Fourteen robust IRGPs were finally obtained by Lasso regression and a prognostic risk prediction model was constructed. Risk score of each sample were calculated based on Risk models and divided into the high-risk group (Risk-H) and low Risk group (Risk-L). Risk models were able to stratify the risk in patients with TNM Stage, Age, gender, and smoking history, and the AUC > 0.65 in training set and test set, shows that 14-IRGPs signature in patients with HNSCC has excellent classification performance. In addition, 14-IRGPs had the highest average C index compared with the prognostic characteristics and T, N, and Age of the 3 previously reported HNSCC.ConclusionThis study constructed 14-IRGPs as a novel prognostic marker for predicting survival in HNSCC patients.

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