Literature DB >> 33880801

Identification of prognostic marker genes in head and neck squamous cell carcinoma: a study based on TCGA database and experimental validation.

Qilong Zhong1, Li Zhou2, Dan Zhu1.   

Abstract

BACKGROUND: Early detection and prognostic prediction are crucial in improving the survival of patients with head and neck squamous cell carcinoma (HNSCC). Therefore, we provided potential molecular markers in this study for early diagnosis and prognosis of this cancer based on the The Cancer Genome Atlas (TCGA) database analysis and experimental validations.
METHODS: Differentially expressed genes (DEGs) between HNSCC tumor and normal samples were identified by TCGA database-based analyses. Univariate and multivariate Cox regression analyses was applied respectively to identify survival-related DEGs and independent prognostic factors in HNSCC. Further, RT-qPCR was employed to verify expression of DEGs in cancer and adjacent tissues from HNSCC patients recruited in our hospital, in which we also clarified the correlation between candidate genes and clinicopathological characteristics and prognosis of HNSCC patients.
RESULTS: TCGA data analyses yielded 59 DEGs. Cox analyses identified 13 candidate genes closely related to prognosis of HNSCC patients and established a five-gene signature comprising AC103702.2, LINC00941, RPL29, FOXL2 and CCL11. This five-gene signature could classify patients into high- and low-risk groups. The survival rate of the high-risk group was significantly lower than that of the low-risk group. Clinical tissue experiments further confirmed that AC103702.2, LINC00941, CCL11 and RPL29P19 genes were inversely associated with the prognosis of HNSCC patients, while CCL11 gene was positively associated. We also found that high-risk HNSCC patients presented a higher incidence of lymph-node metastasis.
CONCLUSION: Five prognostic marker genes (AC103702.2, LINC00941, CCL11, RPL29P19 and FOXL2) as a gene cluster may serve as prognostic marker genes in HNSCC. This article is protected by copyright. All rights reserved.

Entities:  

Keywords:  Differential gene analysis; Functional enrichment analysis; Head and neck squamous cell carcinoma; Kaplan-Meier survival curve; Pearson correlation coefficient; Prognostic marker genes; Prognostic risk assessment model; ROC curve; TCGA database; Univariate Cox analysis

Year:  2021        PMID: 33880801     DOI: 10.1111/jop.13186

Source DB:  PubMed          Journal:  J Oral Pathol Med        ISSN: 0904-2512            Impact factor:   4.253


  1 in total

1.  Integrated Multi-Omics Signature Predicts Survival in Head and Neck Cancer.

Authors:  Ilda Patrícia Ribeiro; Luísa Esteves; Francisco Caramelo; Isabel Marques Carreira; Joana Barbosa Melo
Journal:  Cells       Date:  2022-08-16       Impact factor: 7.666

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.