ArticleCancer management and research2021
Identification of Three Potential Prognostic Genes in Platinum-Resistant Ovarian Cancer via Integrated Bioinformatics Analysis.
Article in Cancer management and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Immune-related pan-cancer gene expression signatures of patient survival revealed by NanoString-based analyses.PloS one · 2023Pooled it
- Jujuboside A induces bladder cancer cell apoptosis by inhibiting ATP1A2-mediated mitochondrial energy metabolism regulation.Cancer biology & therapy · 2026Article
- Article
- Construction of a multimodal esophageal cancer prognostic model with screening of key genes and investigation of their biological functions.Discover oncology · 2025Article
- PI3Kα-specific inhibitor BYL-719 synergizes with cisplatin in vitro in PIK3CA-mutated ovarian cancer cells.Scientific reports · 2025Article
- Characterization of an Activated Metabolic Transcriptional Program in Hepatoblastoma Tumor Cells Using scRNA-seq.International journal of molecular sciences · 2024Article
- Ovarian cancer: Diagnosis and treatment strategies (Review).Oncology letters · 2024Review
- Cell surface CD55 traffics to the nucleus leading to cisplatin resistance and stemness by inducing PRC2 and H3K27 trimethylation on chromatin in ovarian cancer.Molecular cancer · 2024Article
- Obesity-Dependent Association of the rs10454142Biomedicines · 2024Article
- A Novel Platinum Resistance-Related Immune Gene Signature for Overall Survival Prediction in Patients with Ovarian Cancer.Biochemical genetics · 2024Article
- Identification of Novel Prognostic Biomarkers That are Associated with Immune Microenvironment Based on GABA-Related Molecular Subtypes in Gastric Cancer.Pharmacogenomics and personalized medicine · 2023Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeOvarian cancer is the most lethal gynecologic malignancy. Resistance to platinum-based chemotherapy affects the overall survival of patients. This study used an integrated bioinformatics to find the poorly understood molecular mechanisms underlying platinum resistance in ovarian cancer.
methodsBased on the RNA-seq data of tissues in The Cancer Genome Atlas (TCGA) and RNA-seq data of cells from the Cancer Cell Encyclopedia (CCLE), we integrated differentially expressed genes (DEGs) in ovarian cancer tissue and cells. After screening for DEGs related to platinum resistance, we conducted survival analysis and built protein interaction networks to identify genes that may affect prognosis and interact with each other. Least absolute shrinkage and selection operator (Lasso) regression analysis was used to construct a predictive model. Immunohistochemistry and Western blot were used to validate the results. Finally, gene set enrichment analysis (GSEA) was performed on the expression of genes individually.
resultsWe found that ATPase Na
conclusionATP1A2, CASQ2 and RYR2 were highly expressed in platinum-resistant ovarian cancer. ATP1A2 and CASQ2 were related to the prognosis of platinum-resistant ovarian cancer patients. These genes might act on KARS and mTORC1 pathways and participate in metabolic reprogramming and regulation of calcium homeostasis in platinum-resistant cells.
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