ArticleCancer cell international2021
Identification of autophagy-related risk signatures for the prognosis, diagnosis, and targeted therapy in cervical cancer.
Article in Cancer cell international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 26 citations in OpenAlex.
- HSF1 modulates lipid metabolism and ferroptosis in sarcopenia: a novel diagnostic biomarker and therapeutic target.Frontiers in molecular biosciences · 2026Article
- Innovative approaches to metabolic dysfunction-associated steatohepatitis diagnosis and stratification.Non-coding RNA research · 2025Article
- Review
- The Interplay between Autophagy and Mitochondria in Cancer.International journal of molecular sciences · 2024Review
- Identification of an Autophagy-Related Signature for Prognosis and Immunotherapy Response Prediction in Ovarian Cancer.Biomolecules · 2023Article
- Identification of a TGF-β signaling-related gene signature for prediction of immunotherapy and targeted therapy for lung adenocarcinoma.World journal of surgical oncology · 2022Article
- Identification of a novel autophagy-related prognostic signature and small molecule drugs for glioblastoma by bioinformatics.BMC medical genomics · 2022Article
- Identification of autophagy related genes in predicting the prognosis and aiding 5- fluorouracil therapy of colorectal cancer.Heliyon · 2022Article
- Identification of the Potential Correlation between Tumor Protein 73 and Head and Neck Squamous Cell Carcinoma.Disease markers · 2022Article
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundTo rummage autophagy-related prognostic, diagnostic, and therapeutic biomarkers in cervical cancer (CC).
methodsThe RNA-sequence and clinical information were from the TCGA and GTEx databases. We operated Cox regression to determine signatures related to overall survival (OS) and recurrence-free survival (RFS) respectively. The diagnostic and therapeutic effectiveness of prognostic biomarkers were further explored.
resultsWe identified nine (VAMP7, MTMR14, ATG4D, KLHL24, TP73, NAMPT, CD46, HGS, ATG4C) and three risk signatures (SERPINA1, HSPB8, SUPT20H) with prognostic values for OS and RFS respectively. Six risk signatures (ATG4C, ATG4D, CD46, TP73, SERPINA1, HSPB8) were selected for qPCR. We screened five prognostic signatures(ATG4C, CD46, HSPB8, MTMR14, NAMPT) with diagnostic function through the GEO database. Correlation between our models and treatment targets certificated the prognostic score provided a reference for precision medicine.
conclusionsWe constructed OS and RFS prognostic models in CC. Autophagy-related risk signatures might serve as diagnostic and therapeutic biomarkers.
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