ArticleCancer genomics & proteomics
Heterogeneity of Platelet Derived Growth Factor Pathway Gene Expression Profile Defines Three Distinct Subgroups of Renal Cell Carcinomas.
Article in Cancer genomics & proteomics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- Class III Phosphatidylinositol-3 Kinase/Vacuolar Protein Sorting 34 in Cardiovascular Health and Disease.Journal of cardiovascular translational research · 2025Review
- Identification and validation of prognostic biomarkers in ccRCC: immune-stromal score and survival prediction.BMC cancer · 2025Article
- Immunotherapy Applications for Thymine Dimers and WT1 Antigen in Renal Cancers: A Comparative Statistical Analysis.Journal of personalized medicine · 2024Article
- Contemporary Biomarkers for Renal Transplantation: A Narrative Overview.Journal of personalized medicine · 2023Review
- Proinflammatory activity of VEGF-targeted treatment through reversal of tumor endothelial cell anergy.Angiogenesis · 2023Article
- Therapeutic potential of vasculogenic mimicry in urological tumors.Frontiers in oncology · 2023Review
- Derivative Chromosome 3 Loss from t(3;6)(q12;q14) Followed by DifferentialCancer genomics & proteomicsArticle
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Authors and funding
7 authors at 2 institutions in 1 country.
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Abstract
BACKGROUND/
aimWe previously described four different vascular patterns (reticular, diffuse, fasciculate, and trabecular) in renal cell carcinoma (RCC) suggesting an early and heterogeneous acquisition of perivascular cells most probably due to a particular PDGF pathway gene expression profile. The aim of the study was to study PDGF pathway gene expression profiles, separately for each vascular pattern. MATERIALS AND
methodsTaqMan assay for the PDGF pathway was performed on twelve cases of ccRCC previously evaluated by histopathology, immunohistochemistry, and RNAscope. Gene expression profile was correlated with grade, invasion, vascular patterns, and VEGF.
resultsPIK3C3 and SLC9A3 genes were overexpressed in all vascular patterns, but they were significantly correlated with high VEGF mRNA in the reticular and diffuse pattern. STAT1, JAK2, SHC2, SRF and CHUK (IKK) were exclusively overexpressed in cases with diffuse vascular pattern. SLC9A3, CHUK and STAT3 were overexpressed in G2 tumors.
conclusionThree ccRCC subgroups were defined: 1) PIK3C3 (VSP34)/SLC9A3 which may be proper for anti PIK3C3 inhibitors; 2) VEGF
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