ArticleScientific reports2023
Stage-specific coexpression network analysis of Myc in cohorts of renal cancer.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 2 citations in OpenAlex.
- An agent-based learning model integrating sex differences in renal cell carcinoma.Frontiers in immunology · 2026Article
- Exploring the potential of Buzhong Yiqi decoction in the treatment of membranous nephropathy: a comprehensive study combining bioinformatics, network pharmacology, and experimental validation.American journal of translational research · 2025Article
- Evaluating trophinin associated protein as a biomarker of prognosis and therapy response in renal cell carcinoma.BMC cancer · 2024Article
- Therapeutic applications of carbon nanomaterials in renal cancer.Biotechnology letters · 2023Review
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The present study investigates the molecular dynamics of Myc in normal precursors and in different stages (I/II/III/IV) of cohorts of renal cancer using two distinct yet complementary approaches: gene expression and gene coexpression. We also analysed the variation of coexpression networks of Myc through the stage-wise progression of renal cancer cohorts. Myc expression is significantly higher in stage I compared to normal tissue but changed inconsistently across stages of renal cancer. We identified that Myc consistently coexpressed with fourteen genes in the KIPAN [Pan-kidney cohort (KICH + KIRC + KIRP)] and eight in the KIRC (Kidney renal clear cell carcinoma) across all stages, providing potential prognostic and diagnostic biomarkers. Coexpression network complexity decreased from normal precursor tissues to associated tumour stage I in KIPAN and KIRC but was inconsistent after that. In the process of cancer development, there is generally lower cross-tissue cancer network homology observed among coexpressed genes with Myc during the normal to the stage I compared to the stage-wise progression of cancer. Overall, this research provides novel perceptions of the molecular causes of kidney cancer. It also highlights potential genes and pathways crucial for diagnosing and treating this disease.
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