ArticleFrontiers in oncology2021
Analysis of Autophagy-Related Signatures Identified Two Distinct Subtypes for Evaluating the Tumor Immune Microenvironment and Predicting Prognosis in Ovarian Cancer.
Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Machine learning driven multiomics analysis identifies disulfidptosis associated molecular subtypes in ovarian cancer.Scientific reports · 2025Article
- A novel mitochondrial autophagy and aging-related gene signature for predicting ovarian cancer.Frontiers in immunology · 2025Article
- ZNF197-AS1/miR-425/GABARAPL1 axis: a novel regulatory mechanism in uveal melanoma.American journal of physiology. Cell physiology · 2024Article
- Ovarian Cancer Cell-Conditioning Medium Induces Cancer-Associated Fibroblast Phenoconversion through Glucose-Dependent Inhibition of Autophagy.International journal of molecular sciences · 2024Article
- Advances in Ferroptosis-Inducing Agents by Targeted Delivery System in Cancer Therapy.International journal of nanomedicine · 2024Review
- Article
- The multifaced role and therapeutic regulation of autophagy in ovarian cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023Review
- A novel autophagy-related gene signature associated with prognosis and immune microenvironment in ovarian cancer.Journal of ovarian research · 2023Article
- Peripheral and tumor-infiltrating immune cells are correlated with patient outcomes in ovarian cancer.Cancer medicine · 2023Article
- Development and verification of a 7-lncRNA prognostic model based on tumor immunity for patients with ovarian cancer.Journal of ovarian research · 2023Article
- HSV: The scout and assault for digestive system tumors.Frontiers in molecular biosciences · 2023Review
- Protein expression profiling identifies a prognostic model for ovarian cancer.BMC women's health · 2022Article
- Induction of Genes Implicated in Stress Response and Autophagy by a Novel Quinolin-8-yl-nicotinamide QN523 in Pancreatic Cancer.Journal of medicinal chemistry · 2022Article
- Identification of Potential Diagnoses Based on Immune Infiltration and Autophagy Characteristics in Major Depressive Disorder.Frontiers in genetics · 2022Article
- Potential roles of Cornichon Family AMPA Receptor Auxiliary Protein 4 (CNIH4) in head and neck squamous cell carcinoma.Cancer biomarkers : section A of Disease markers · 2022Article
- Multi-Omics Profiling Identifies Risk Hypoxia-Related Signatures for Ovarian Cancer Prognosis.Frontiers in immunology · 2021Article
- Identification and Validation of the Pyroptosis-Related Molecular Subtypes of Lung Adenocarcinoma by Bioinformatics and Machine Learning.Frontiers in cell and developmental biology · 2021Article
- ULK2 suppresses glycolysis to attenuate cisplatin resistance in ovarian cancer organoid via c-Jun phosphorylation.Science progressArticle
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11 authors.
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Abstract
Ovarian cancer (OC) is one of the most lethal gynecologic malignant tumors. The interaction between autophagy and the tumor immune microenvironment has clinical importance. Hence, it is necessary to explore reliable biomarkers associated with autophagy-related genes (ARGs) for risk stratification in OC. Here, we obtained ARGs from the MSigDB database and downloaded the expression profile of OC from TCGA database. The k-means unsupervised clustering method was used for clustering, and two subclasses of OC (cluster A and cluster B) were identified. SsGSEA method was used to quantify the levels of infiltration of 24 subtypes of immune cells. Metascape and GSEA were performed to reveal the differential gene enrichment in signaling pathways and cellular processes of the subtypes. We found that patients in cluster A were significantly associated with higher immune infiltration and immune-associated signaling pathways. Then, we established a risk model by LASSO Cox regression. ROC analysis and Kaplan-Meier analysis were applied for evaluating the efficiency of the risk signature, patients with low-risk got better outcomes than those with high-risk in overall survival. Finally, ULK2 and GABARAPL1 expression was further validated in clinical samples. In conclusion, Our study constructed an autophagy-related prognostic indicator, and identified two promising targets in OC.
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