ArticleThe journal of pathology. Clinical research2025
AXL and SRC in clear cell renal cell carcinoma: absence of mutations, rare alternative splicing events, but association of protein expression with poor prognosis.
Article in The journal of pathology. Clinical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Development and optimization of green extraction of naringin inRSC advances · 2025Article
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Abstract
Novel treatment options for metastatic renal cell carcinomas (RCC) include specific MET inhibitors, GAS6/AXL inhibitors, and SRC inhibitors. The interplay between c-MET, SRC, AXL expression, and their gene mutation patterns in different renal carcinoma subtypes is unclear. To improve the understanding of these signaling pathways, we analyzed c-MET, AXL, and SRC expression in 590 clear cell RCC (ccRCC) and 127 papillary RCC (pRCC) by immunohistochemistry and integrated sequencing data to investigate the frequency of MET, AXL, and SRC gene mutations, their expression levels, and the presence of splice variants. In TCGA and in Foundation Medicine, Inc. (FMI) datasets, AXL and SRC gene alterations were extremely rare (<2%) or absent in ccRCC (n = 531 and 2,781, respectively) and pRCC (n = 290 and 566, respectively). On the other hand, MET mutations or amplifications were found in 9.7% (TCGA) and 10.2% (FMI) of pRCC. We show that strong SRC staining intensity by immunohistochemistry is associated with high tumor stage, high grade, and shorter survival in ccRCC (p < 0.001 each). AXL expression correlates with high stage and grade in ccRCC (p < 0.001 each). Both SRC and AXL expression were independent prognostic parameters in multivariate analysis (p < 0.05). MET expression is associated with longer survival in pRCC (p < 0.05). Our TCGA data analysis aligns with SRC immunohistochemistry findings on tumor stage and shorter survival in ccRCC. TCGA expression data showed a moderate positive correlation between AXL and c-MET in pRCC. In addition, we identified alternative splicing events reported for AXL in pRCC, and MET and SRC in ccRCC, across various alternative splicing databases. In conclusion, we identified high SRC expression as a biomarker for poor prognosis of ccRCC. Our data demonstrate c-MET, AXL, and SRC signaling pathway interactions independent of c-MET, AXL, and SRC mutations in ccRCC.
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