Abstract：Objective To investigate the prognostic role of autophagy-related LncRNA in patients with head and neck squamous cell carcinoma (HNSCC), and to construct a prognostic risk model for HNSCC.Methods HNSCC sequencing data and clinical data were downloaded from the Cancer Genome Atlas (TCGA), and autophagy datasets were downloaded from the HADb database. Person correlation analysis was used to identify HNSCC autophagy-related LncRNA, and univariate Cox regression analysis to screen for correlation with the prognosis of HNSCC The autophagy-related LncRNA was further analyzed by multivariate Cox multifactor regression analysis was used to determine the autophagy-related LncRNA with independent prognostic significance. Based on these autophagy-related LncRNAs, a risk model was constructed, patients were divided into a high-risk group and a low-risk group, and the survival differences between the two groups were compared. ROC curve analysis was used to evaluate the predictive ability of the model's prognosis, and finally Cox regression was used to analyze the relationship between risk score, clinicopathological features and the prognosis of HNSCC patients.Results A total of 9 HNSCC autophagy-related LncRNAs(LINC02195, AP003068.1, LINC02560, MIR9-3HG, AC106820.3, AC040977.1, AC005288.1, AC104083.1, AC098487.1)were identified and a risk model was constructed. The 5-year overall survival rate of patients in the high-risk group (48.40%,103/219)was significantly shorter than that of the low-risk group (70.45%,155/220)(P<0.05). The area under the ROC analysis curve was 0.715, which showed that the risk model had a good ability to predict the prognosis of HNSCC patients. And multivariate Cox regression analysis showed that risk score (HR= 1.984,95%CI:1.350-2.916)was an independent prognostic risk factor for HNSCC.Conclusions The prognostic risk model based on 9 autophagy-related LncRNAs can be used to predict the prognosis of HNSCC patients, and these autophagy-related LncRNAs may play an important role in the biology of HNSCC.
Siegel R L, Miller K D, Fuchs H E, et al. Cancer statistics, 2022 [J]. CA Cancer J Clin, 2022, 72(1): 7-33.
[2]
Bray F, Ferlay J, Soerjomataram I, et al. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries [J]. CA Cancer J Clin, 2018, 68(6): 394-424.
[3]
Miller K D, Nogueira L, Mariotto A B, et al. Cancer treatment and survivorship statistics, 2019 [J]. CA Cancer J Clin, 2019, 69(5): 363-385.
[4]
Powell S F, Gold K A, Gitau M M, et al. Safety and efficacy of pembrolizumab with chemoradiotherapy in locally advanced head and neck squamous cell carcinoma: a phase IB study [J]. J Clin Oncol, 2020, 38(21): 2427-2437.
[5]
Huang Z, Liu J, Luo L, et al. Genome-wide identification of a novel autophagy-related signature for colorectal cancer [J]. Dose Response, 2019, 17(4): 1559325819894179.
[6]
Jiang M, Li Z, Zhu G. The role of autophagy in the pathogenesis of periodontal disease [J]. Oral Dis, 2020, 26(2): 259-269.
[7]
Singh S S, Vats S, Chia A Y, et al. Dual role of autophagy in hallmarks of cancer [J]. Oncogene, 2018, 37(9): 1142-1158.
[8]
Kong Q, Liang Y, He Q, et al. Autophagy inhibits TLR4-mediated invasiveness of oral cancer cells via the NF-κB pathway [J]. Oral Dis, 2020, 26(6): 1165-1174.
[9]
Jing Q, Li G, Chen X, et al. Wnt3a promotes radioresistance via autophagy in squamous cell carcinoma of the head and neck [J]. J Cell Mol Med, 2019, 23(7): 4711-4722.
[10]
Hsu H W, Wall N R, Hsueh C T, et al. Combination antiangiogenic therapy and radiation in head and neck cancers [J]. Oral Oncol, 2014, 50(1): 19-26.
[11]
Jin Y, Qin X. Development of a prognostic signature based on autophagy-related genes for head and neck squamous cell carcinoma [J]. Arch Med Res, 2020, 51(8): 860-867.
[12]
Sun T. Long noncoding RNAs act as regulators of autophagy in cancer [J]. Pharmacol Res, 2018, 129(3): 151-155.
[13]
Xing L, Zhang X, Chen A. Prognostic 4-lncRNA-based risk model predicts survival time of patients with head and neck squamous cell carcinoma [J]. Oncol Lett, 2019, 18(3): 3304-3316.
[14]
Meng W, Ou W, Chandwani S, et al. Temporal phenotyping by mining healthcare data to derive lines of therapy for cancer [J]. J Biomed Inform, 2019, 100(12): 103335-103381.
[15]
Shen L, Li N, Zhou Q, et al. Development and validation of an autophagy-related lncRNA prognostic signature in head and neck squamous cell carcinoma [J]. Front Oncol, 2021, 11(10): 743611-743624.
[16]
Guo Y, Yang P T, Wang Z W, et al. Identification of three autophagy-related long non-coding RNAs as a novel head and neck squamous cell carcinoma prognostic signature [J]. Front Oncol, 2020, 10(1): 603864-603877.
[17]
Li Q, Wang J, Meng X, et al. Identification of autophagy-related gene and lncRNA signatures in the prognosis of HNSCC [J]. Oral Dis, 2023, 29(1): 138-153.
[18]
Keulers T G, Schaaf M B, Rouschop K M. Autophagy-dependent secretion: contribution to tumor progression [J]. Front Oncol, 2016, 6(11):251-264.
[19]
Ding S, Hou X, Wang G, et al. Autophagy flux contributes to regulation of components of eclipta prostrata L. on cigarette smoking-induced injury of bronchial epithelial cells [J]. Front Pharmacol, 2018, 9(2):107-118.
[20]
Cui X, Wang X, Zhou X, et al. miR-106a regulates cell proliferation and autophagy by targeting LKB1 in HPV-16-associated cervical cancer [J]. Mol Cancer Res, 2020, 18(8): 1129-1141.
[21]
Das C K, Mandal M, Kögel D. Pro-survival autophagy and cancer cell resistance to therapy [J]. Cancer Metastasis Rev, 2018, 37(4): 749-766.
[22]
Feng H, Zhong L, Yang X, et al. Development and validation of prognostic index based on autophagy-related genes in patient with head and neck squamous cell carcinoma [J]. Cell Death Discov, 2020, 6(7):59-67.
Yang W, Jiang C, Xia W, et al. Blocking autophagy flux promotes interferon-alpha-mediated apoptosis in head and neck squamous cell carcinoma [J]. Cancer Lett, 2019, 451(6):34-47.
[26]
Li H, Xiong H G, Xiao Y, et al. Long non-coding RNA linc02195 as a regulator of mhc i molecules and favorable prognostic marker for head and neck squamous cell carcinoma [J]. Front Oncol, 2020, 10(5):615-627.
[27]
Zhou R S, Zhang E X, Sun Q F, et al. Integrated analysis of lncRNA-miRNA-mRNA ceRNA network in squamous cell carcinoma of tongue [J]. BMC Cancer, 2019, 19(1): 779-789.
[28]
Hu Y, Guo G, Li J, et al. Screening key lncRNAs with diagnostic and prognostic value for head and neck squamous cell carcinoma based on machine learning and mRNA-lncRNA co-expression network analysis [J]. Cancer Biomark, 2020, 27(2): 195-206.
2023, Vol. 34 
