Development and Validation of Prognostic Index Based on Autophagy-related Genes in Patient with Head and Neck Squamous Cell Carcinoma
Overview
Affiliations
Head and neck squamous cell carcinoma (HNSCC) is one of the most common cancers worldwide, accounting for almost 50% of all malignancies in developing nations. Autophagy plays a vital role in cancer initiation, malignant progression, and resistance to treatment. However, autophagy-related gene sets have rarely been analyzed in HNSCC. Hence, it is necessary to assess its clinical and pathological significance in a larger cohort of patients with HNSCC. The purpose of this study was to establish a novel autophagy-related prognostic marker for HNSCC. We screened 232 autophagy-related genes (ARGs) and identified 38 differentially expressed ARGs in The Cancer Genome Atlas (TCGA) cohorts. The prognosis-related ARGs signature, established using the univariate and multivariate Cox proportional regression models, consists of 10 ARGs that could divide patients into high-risk and low-risk groups. Survival analysis indicated that patients in the high-risk group had dramatically shorter overall survival compared with their low-risk counterparts. Cox regression analysis further confirmed the independent prognostic value of the autophagy-related signature, and the area under the receiver operating characteristic curve of the combined prognostic model was 0.722. Finally, the efficacy of autophagy-related signature was also validated by an independent cohort from the Gene Expression Omnibus (GEO) database. Collectively, we successfully constructed a novel autophagy-related signature for the prediction of prognosis in patients with HNSCC.
Guo L, Ma X, Li H, Yan S, Zhang K, Li J Mol Clin Oncol. 2024; 21(1):49.
PMID: 38872949 PMC: 11170320. DOI: 10.3892/mco.2024.2747.
Kandathil S, Akhondi A, Kadletz-Wanke L, Heiduschka G, Engedal N, Brkic F J Cancer Res Clin Oncol. 2024; 150(2):56.
PMID: 38291202 PMC: 10827959. DOI: 10.1007/s00432-023-05514-3.
Puzzo L, Bianco M, Salvatorelli L, Tinnirello G, Occhiuzzi F, Latella D Cancers (Basel). 2023; 15(9).
PMID: 37173926 PMC: 10177409. DOI: 10.3390/cancers15092461.
Identifying TME signatures for cervical cancer prognosis based on GEO and TCGA databases.
Xia W, Qiu W, Yu W, Xu Z, Zhang S Heliyon. 2023; 9(4):e15096.
PMID: 37095983 PMC: 10121839. DOI: 10.1016/j.heliyon.2023.e15096.
Nan Z, Dou Y, Chen A, Wang K, Sun J, Meng Z Front Immunol. 2023; 13:1100417.
PMID: 36703967 PMC: 9872116. DOI: 10.3389/fimmu.2022.1100417.