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Quantification of eosinophilic area and its potential molecular feature in clear cell renal cell carcinoma.

Nengqiao WenXiaomin LiJiangli LuLu PanPing YangYijun ZhangKeming ChenYun Cao
Published in: Japanese journal of clinical oncology (2024)
The quantification of the eosinophilic feature serves as a robust predictor of clinical prognosis in clear cell renal cell carcinoma. Furthermore, the manifestation of this feature may be linked to BAP1 mutations and the down-regulation of Erythroblast Transformation-Specific-Related Gene in clear cell renal cell carcinoma. Significantly, the expression levels of Erythroblast Transformation-Specific-Related Gene manifest as an exemplary prognostic marker, providing exceptional predictive accuracy for the clinical prognosis in clear cell renal cell carcinoma.
Keyphrases
  • machine learning
  • deep learning
  • genome wide
  • poor prognosis
  • gene expression
  • neural network
  • chronic rhinosinusitis