Title of article :
Prognostic Correlation of an Autophagy-Related Gene Signature in Patients with Head and Neck Squamous Cell Carcinoma
Author/Authors :
Yang, Cai Department of Orthodontics - West China Hospital of Stomatology - West China School of Stomatology - Sichuan University - State Key Laboratory of Oral Diseases - Chengdu, China , Mei, Hongxiang Department of Orthodontics - West China Hospital of Stomatology - West China School of Stomatology - Sichuan University - State Key Laboratory of Oral Diseases - Chengdu, China , Peng, Liang School of Information and Software Engineering - University of Electronic Science and Technology of China - Chengdu, China , Jiang, Fulin Department of Orthodontics - West China Hospital of Stomatology - West China School of Stomatology - Sichuan University - State Key Laboratory of Oral Diseases - Chengdu, China , Xie, Bingjie Department of Orthodontics - West China Hospital of Stomatology - West China School of Stomatology - Sichuan University - State Key Laboratory of Oral Diseases - Chengdu, China , Li, Juan Department of Orthodontics - West China Hospital of Stomatology - West China School of Stomatology - Sichuan University - State Key Laboratory of Oral Diseases - Chengdu, China
Abstract :
Considerable evidence indicates that autophagy plays a vital role in the biological processes of various cancers. The aim of this study
is to evaluate the prognostic value of autophagy-related genes in patients with head and neck squamous cell carcinoma (HNSCC).
Transcriptome expression profiles and clinical data acquired from The Cancer Genome Atlas (TCGA) database were analyzed by Cox
proportional hazards model and Kaplan–Meier survival analysis to screen autophagy-related prognostic genes that were significantly
correlated with HNSCC patients’ overall survival. Functional enrichment analyses were performed to explore biological functions of
differentially expressed autophagy-related genes (ARGs) identified in HNSCC patients. Six ARGs (EGFR, HSPB8, PRKN, CDKN2A,
FADD, and ITGA3) identified with significantly prognostic values for HNSCC were used to construct a risk signature that could
stratify patients into the high-risk and low-risk groups. This signature demonstrated great value in predicting prognosis for
HNSCC patients and was indicated as an independent prognostic factor in terms of clinicopathological characteristics (sex, age,
clinical stage, histological grade, anatomic subdivision, alcohol history, smoking status, HPV status, and mutational status of the
samples). The prognostic signature was also validated by data from the Gene Expression Omnibus (GEO) database and
International Cancer Genome Consortium (ICGC). In conclusion, this study provides a novel autophagy-related gene signature for
predicting prognosis of HNSCC patients and gives molecular insights of autophagy in HNSCC.
Keywords :
Cell , HNSCC , GEO , Kaplan–Meier
Journal title :
Computational and Mathematical Methods in Medicine