ArticleJournal of ovarian research2020
Identification of an autophagy-related gene signature for survival prediction in patients with cervical cancer.
Article in Journal of ovarian research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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25 citing papers in PubMed, 37 citations in OpenAlex.
- A three-gene radioresistance signature predicts tumor progression in cervical cancer.Translational cancer research · 2026Article
- Integrated analysis and functional validation of PEG3, SYNPO2, and DCN as regulators of tumor suppression and cellular stress in cervical cancer.Immunologic research · 2026Article
- TM9SF1 inhibits colorectal cancer metastasis by targeting Vimentin for Tollip-mediated selective autophagic degradation.Cell death and differentiation · 2025Article
- Integrated multi-optosis model for pan-cancer candidate biomarker and therapy target discovery.Frontiers in bioinformatics · 2025Article
- Pan-cancer analyses reveal cancer-type-specific autophagy signatures with potential implications for prognosis and therapy response.Journal of Cancer · 2025Article
- TM9SF1 expression correlates with autoimmune disease activity and regulates antibody production through mTOR-dependent autophagy.BMC medicine · 2024Article
- Potential role of transmembrane 9 superfamily member 1 as a biomarker in urothelial cancer.World journal of clinical oncology · 2024Article
- TM9SF1 promotes bladder cancer cell growth and infiltration.World journal of clinical oncology · 2024Article
- The complement regulatory protein CD46 serves as a novel biomarker for cervical cancer diagnosis and prognosis evaluation.Frontiers in immunology · 2024Article
- Identification and Validation a Necroptosis-Related Prognostic Signature in Cervical Cancer.Reproductive sciences (Thousand Oaks, Calif.) · 2023Article
- The association between several autophagy-related genes and their prognostic values in hepatocellular carcinoma: a study on the foundation of TCGA, GEPIA and HPA databases.Molecular biology reports · 2022Article
- Long non-coding RNA HOXA11-AS knockout inhibits proliferation and overcomes drug resistance in ovarian cancer.Bioengineered · 2022Article
- Integrated clinical characteristics and omics analysis identifies a ferroptosis and iron-metabolism-related lncRNA signature for predicting prognosis and therapeutic responses in ovarian cancer.Journal of ovarian research · 2022Article
- Construction of a Six-Gene Prognostic Risk Model Related to Hypoxia and Angiogenesis for Cervical Cancer.Frontiers in genetics · 2022Article
- Immune infiltration and a necroptosis-related gene signature for predicting the prognosis of patients with cervical cancer.Frontiers in genetics · 2022Article
- Assessment of alterations in histone modification function and guidance for death risk prediction in cervical cancer patients.Frontiers in genetics · 2022Article
- A Novel Prognostic Risk Model for Cervical Cancer Based on Immune Checkpoint HLA-G-Driven Differentially Expressed Genes.Frontiers in immunology · 2022Article
- High Expression of TMEM33 Predicts Poor Prognosis and Promotes Cell Proliferation in Cervical Cancer.Frontiers in genetics · 2022Article
- Identification of autophagy-related risk signatures for the prognosis, diagnosis, and targeted therapy in cervical cancer.Cancer cell international · 2021Article
- Immunogenomic Identification for Predicting the Prognosis of Cervical Cancer Patients.International journal of molecular sciences · 2021Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cervical cancer is one of the most common female malignancy that occurs worldwide and is reported to cause over 300,000 deaths in 2018. Autophagy controls the survival and death of cancerous cells by regulating the degradation process of cytoplasm and cellular organelle. In the present study, the differentially expressed autophagy-related genes (ARGs) between healthy and cancerous cervical tissues (squamous cell neoplasms) were obtained using data from GTEx and The Cancer Genome Atlas (TCGA) database. The functionalities of the differentially expressed ARGs were analyzed using Gene Ontology (GO) as well as the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Next, we conducted univariate Cox regression assay and obtained 12 ARGs that were associated with the prognosis of cervical cancer patients. We carried out a multivariate Cox regression analysis and developed six ARG-related prognostic signature for the survival prediction of patients with squamous cell cervical cancer (Risk score = - 0.63*ATG3-0.42*BCL2 + 0.85*CD46-0.38*IFNG+ 0.23*NAMPT+ 0.82*TM9SF1). Following the calculation of risk score using the signature, the patients were divided into high and low-risk groups according to the median value. Kaplan-Meier curve demonstrated that patients with a high-risk score tend to have a poor prognosis (P < 0.001). The value for area under the curves corresponding to the receiver operating characteristic (ROC) was 0.740. As observed, the expression of IFNG was negatively associated with lymph node metastasis (P = 0.026), while a high-risk score was significantly associated with increased age (P = 0.008). To further validate the prognostic signature, we carried out a permutation test and confirmed the performance of the risk score. In conclusion, our study developed six ARG-related prognostic signature for patients with squamous cell cervical cancer, which might help in improving the prognostic predictions of such patients.
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