Evidence map›Paper›PMID 33081731›Full record

ArticleBMC cancer2020

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

Fujun Zhang, Yu Liu, Yixin Yang, Kai Yang

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Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Fujun ZhangDepartment of Oral and Maxillofacial Surgery, the First Affiliated Hospital of Chongqing Medical University, No 1. Youyi Road, Yuzhong District, Chongqing, 400016, China.
Yu LiuDepartment of Pharmacy, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Yixin YangDepartment of Oral and Maxillofacial Surgery, the First Affiliated Hospital of Chongqing Medical University, No 1. Youyi Road, Yuzhong District, Chongqing, 400016, China.
Kai YangDepartment of Oral and Maxillofacial Surgery, the First Affiliated Hospital of Chongqing Medical University, No 1. Youyi Road, Yuzhong District, Chongqing, 400016, China. cqfyyk@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Immunity, InnateBiomarkers, TumorComputational BiologyDatabases, GeneticFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHead and Neck NeoplasmsHumansMaleNeoplasm StagingPrognosisSequence Analysis, RNASquamous Cell Carcinoma of Head and NeckSurvival AnalysisBiomarkers, TumorBioinformaticsHNSCCImmune-related gene pairsRiskscoreTCGA

Identifiers

PMID33081731
PMCPMC7574345

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.