Biomaterial Database

Autophagy-Related Signature for Head and Neck Squamous Cell Carcinoma. 2020

Cheng Li, and Zeng-Hong Wu, and Kun Yuan

Department of Otolaryngology Head and Neck Surgery, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.

BACKGROUND Head and neck squamous cell carcinoma (HNSCC) is one of the most common malignancies in the world, with low survival and poor quality of life. Autophagy-associated genes (ATGs) have been reported to be involved in the initiation and progression of malignancies. Here, we aimed to investigate the association between autophagy-associated genes and the outcomes in HNSCC patients. METHODS We obtained ATGs with prognostic values by analyzing the datasets from The Cancer Genome Atlas (TCGA) and Human Autophagy Database (HADb). The enrichment functions of autophagy differential genes were analyzed by Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG). The Kaplan-Meier method was applied to the survival curve analysis. A prognostic autophagy-related gene signature was established, and its independence was verified. RESULTS We acquired a total of 529 samples and 232 ATGs; further, we identified 45 genes associated with prognosis and built a prognosis autophagy signature based on risk score of 15 genes. Patients were divided into two groups based on risk scores. The Kaplan-Meier curve illustrated that the survival rate of the high-risk group was significantly lower than that of the low-risk group in both the training group and validation group. The ROC curve revealed that the risk score had the highest AUC value in the 3rd and 5th years, reaching 0.703 and 0.724, which are higher than other risk factors such as gender, age, and TNM stage. The nomogram further confirmed its weight in the prognosis of HNSCC patients. Through KEGG and GO enrichment analyses, we observed that ATGs were involved in the tumorigenesis and invasion of tumor by various mediating pathways. We gained 3 hub genes (MAP1LC3B, FADD, and LAMP1) and further analyzed the survival curves, mutations, differential expressions, and their roles in tumors on the online websites. CONCLUSIONS We identified a novel autophagy-related signature that may provide promising biomarker genes for the treatment and prognosis of HNSCC. We need to validate its prognostic value by applying it to the clinic.

UI	MeSH Term	Description	Entries
D008297	Male		Males
D011379	Prognosis	A prediction of the probable outcome of a disease based on a individual's condition and the usual course of the disease as seen in similar situations.	Prognostic Factor,Prognostic Factors,Factor, Prognostic,Factors, Prognostic,Prognoses
D005260	Female		Females
D006258	Head and Neck Neoplasms	Soft tissue tumors or cancer arising from the mucosal surfaces of the LIP; oral cavity; PHARYNX; LARYNX; and cervical esophagus. Other sites included are the NOSE and PARANASAL SINUSES; SALIVARY GLANDS; THYROID GLAND and PARATHYROID GLANDS; and MELANOMA and non-melanoma skin cancers of the head and neck. (from Holland et al., Cancer Medicine, 4th ed, p1651)	Cancer of Head and Neck,Head Cancer,Head Neoplasm,Head and Neck Cancer,Head and Neck Neoplasm,Neck Cancer,Neck Neoplasm,Neck Neoplasms,Neoplasms, Upper Aerodigestive Tract,UADT Neoplasm,Upper Aerodigestive Tract Neoplasm,Upper Aerodigestive Tract Neoplasms,Cancer of Head,Cancer of Neck,Cancer of the Head,Cancer of the Head and Neck,Cancer of the Neck,Head Neoplasms,Head, Neck Neoplasms,Neoplasms, Head,Neoplasms, Head and Neck,Neoplasms, Neck,UADT Neoplasms,Cancer, Head,Cancer, Neck,Cancers, Head,Cancers, Neck,Head Cancers,Neck Cancers,Neoplasm, Head,Neoplasm, Neck,Neoplasm, UADT,Neoplasms, UADT
D006801	Humans	Members of the species Homo sapiens.	Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000077195	Squamous Cell Carcinoma of Head and Neck	The most common type of head and neck carcinoma that originates from cells on the surface of the NASAL CAVITY; MOUTH; PARANASAL SINUSES, SALIVARY GLANDS, and LARYNX. Mutations in TNFRSF10B, PTEN, and ING1 genes are associated with this cancer.	HNSCC,Head And Neck Squamous Cell Carcinomas,Hypopharyngeal Squamous Cell Carcinoma,Laryngeal Squamous Cell Carcinoma,Oral Cavity Squamous Cell Carcinoma,Oral Squamous Cell Carcinoma,Oral Squamous Cell Carcinomas,Oral Tongue Squamous Cell Carcinoma,Oropharyngeal Squamous Cell Carcinoma,Squamous Cell Carcinoma of Larynx,Squamous Cell Carcinoma of the Larynx,Squamous Cell Carcinoma of the Mouth,Squamous Cell Carcinoma of the Nasal Cavity,Carcinoma, Squamous Cell of Head and Neck,Head and Neck Squamous Cell Carcinoma,Squamous Cell Carcinoma of the Head and Neck,Squamous Cell Carcinoma, Head And Neck
D001343	Autophagy	The segregation and degradation of various cytoplasmic constituents via engulfment by MULTIVESICULAR BODIES; VACUOLES; or AUTOPHAGOSOMES and their digestion by LYSOSOMES. It plays an important role in BIOLOGICAL METAMORPHOSIS and in the removal of bone by OSTEOCLASTS. Defective autophagy is associated with various diseases, including NEURODEGENERATIVE DISEASES and cancer.	Autophagocytosis,ER-Phagy,Lipophagy,Nucleophagy,Reticulophagy,Ribophagy,Autophagy, Cellular,Cellular Autophagy,ER Phagy
D014408	Biomarkers, Tumor	Molecular products metabolized and secreted by neoplastic tissue and characterized biochemically in cells or BODY FLUIDS. They are indicators of tumor stage and grade as well as useful for monitoring responses to treatment and predicting recurrence. Many chemical groups are represented including HORMONES; ANTIGENS; amino and NUCLEIC ACIDS; ENZYMES; POLYAMINES; and specific CELL MEMBRANE PROTEINS and LIPIDS.	Biochemical Tumor Marker,Cancer Biomarker,Carcinogen Markers,Markers, Tumor,Metabolite Markers, Neoplasm,Tumor Biomarker,Tumor Marker,Tumor Markers, Biochemical,Tumor Markers, Biological,Biochemical Tumor Markers,Biological Tumor Marker,Biological Tumor Markers,Biomarkers, Cancer,Marker, Biochemical Tumor,Marker, Biologic Tumor,Marker, Biological Tumor,Marker, Neoplasm Metabolite,Marker, Tumor Metabolite,Markers, Biochemical Tumor,Markers, Biological Tumor,Markers, Neoplasm Metabolite,Markers, Tumor Metabolite,Metabolite Markers, Tumor,Neoplasm Metabolite Markers,Tumor Markers, Biologic,Tumor Metabolite Marker,Biologic Tumor Marker,Biologic Tumor Markers,Biomarker, Cancer,Biomarker, Tumor,Cancer Biomarkers,Marker, Tumor,Markers, Biologic Tumor,Markers, Carcinogen,Metabolite Marker, Neoplasm,Metabolite Marker, Tumor,Neoplasm Metabolite Marker,Tumor Biomarkers,Tumor Marker, Biochemical,Tumor Marker, Biologic,Tumor Marker, Biological,Tumor Markers,Tumor Metabolite Markers
D015972	Gene Expression Regulation, Neoplastic	Any of the processes by which nuclear, cytoplasmic, or intercellular factors influence the differential control of gene action in neoplastic tissue.	Neoplastic Gene Expression Regulation,Regulation of Gene Expression, Neoplastic,Regulation, Gene Expression, Neoplastic
D016208	Databases, Factual	Extensive collections, reputedly complete, of facts and data garnered from material of a specialized subject area and made available for analysis and application. The collection can be automated by various contemporary methods for retrieval. The concept should be differentiated from DATABASES, BIBLIOGRAPHIC which is restricted to collections of bibliographic references.	Databanks, Factual,Data Banks, Factual,Data Bases, Factual,Data Bank, Factual,Data Base, Factual,Databank, Factual,Database, Factual,Factual Data Bank,Factual Data Banks,Factual Data Base,Factual Data Bases,Factual Databank,Factual Databanks,Factual Database,Factual Databases