ArticleCancer cell international2020
Identification of methylation-driven genes related to the prognosis of papillary renal cell carcinoma: a study based on The Cancer Genome Atlas.
Article in Cancer cell international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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15 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- From Gene to Enzyme: Multidimensional Decoding of the GGT Molecular Family and Its Clinical Tumor Diagnosis.Cancer medicine · 2025Pooled it
- Loss of GGT6 promotes colorectal cancer progression and correlates with poor prognosis: a study based on multi-database mining and functional validation.Translational cancer research · 2026Article
- GIPC2 suppresses colorectal cancer progression via regulation by UBA1-mediated ubiquitination.Gastroenterology report · 2026Article
- The ferroptosis-related gene GGTLC2 is identified as a novel biomarker for gastric cancer within the GGT family, with associations to immune infiltration and liver metastasis.Functional & integrative genomics · 2025Article
- Aberrant expression of multiple γ-glutamyltransferases is associated with tumor progression and patient outcome in prostate cancers.Frontiers in oncology · 2025Article
- Review
- Increased expression of GIPC2 in colon adenocarcinoma is associated with a favorable prognosis and high levels of immune cell infiltration.Oncology reports · 2023Article
- Identification of a novel prognostic signature correlated with epithelial-mesenchymal transition, N6-methyladenosine modification, and immune infiltration in colorectal cancer.Cancer medicine · 2023Article
- Biomarkers in renal cell carcinoma and their targeted therapies: a review.Exploration of targeted anti-tumor therapy · 2023Review
- Methylation-related genes involved in renal carcinoma progression.Frontiers in genetics · 2023Article
- Human endogenous retrovirus-H long terminal repeat-associating 2: The next immune checkpoint for antitumour therapy.EBioMedicine · 2022Review
- Bioinformatics analysis reveals the clinical significance of GIPC2/GPD1L for colorectal cancer using TCGA database.Translational cancer research · 2022Article
- A Novel Ferroptosis-Related lncRNA Signature for Prognosis Prediction in Patients with Papillary Renal Cell Carcinoma.International journal of general medicine · 2022Article
- Expression Status and Prognostic Significance of Gamma-Glutamyl Transpeptidase Family Genes in Hepatocellular Carcinoma.Frontiers in oncology · 2021Article
- Development and Validation of an Individualized Immune-Related Gene Pairs Prognostic Signature in Papillary Renal Cell Carcinoma.Frontiers in genetics · 2020Article
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7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAberrant DNA methylation patterns are involved in the pathogenesis of papillary renal cell carcinoma (pRCC). This study aimed to investigate the potential of methylation-driven genes as biomarkers in determining the prognosis of pRCC by bioinformatics analysis.
methodsDNA methylation and transcriptome profiling data were downloaded from The Cancer Genome Atlas database. Methylation-driven genes (MDGs) were obtained using MethylMix R package. A Cox regression model was used to screen for pRCC prognosis-related MDGs, and a linear risk model based on MDG methylation profiles was constructed. A combined methylation and gene expression survival analysis was performed to further explore the prognostic value of MDGs independently.
resultsA total of 31 MDGs were obtained. Univariate and multivariate Cox regression analysis identified eight genes (CASP1, CD68, HOXD3, HHLA2, HOXD9, HOXA10-AS, TMEM71, and PLA2G16), which were used to construct a predictive model associated with overall survival in pRCC patients. Combined DNA methylation and gene expression survival analysis revealed that C19orf33, GGT6, GIPC2, HHLA2, HOXD3, HSD17B14, PLA2G16, and TMEM71 were significantly associated with patients' survival.
conclusionThrough the analysis of MDGs in pRCC, this study identified potential biomarkers for precision treatment and prognosis prediction, and provided the basis for future research into the molecular mechanism of pRCC.
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