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September 24, 2024BiomedicinesOpen Access

A Multi-Omics Prognostic Model Capturing Tumor Stemness and the Immune Microenvironment in Clear Cell Renal Cell Carcinoma

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Authors

BXBeibei XiongWLWenqiang LiuYLYing Liu

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Xiong et al. (2024) studied this question.

synapsesocial.com/papers/68e57799b6db643587517b38https://doi.org/10.3390/biomedicines12102171
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Decoding the Sphingolipid Landscape of Clear Cell Renal Cell Carcinoma: A Single‐Cell‐Guided Prognostic Model Built With 101 Machine Learning2026
  2. 2Deciphering the tumour microenvironment of clear cell renal cell carcinoma: Prognostic insights from programmed death genes using machine learning2024 · 12 citations
  3. 3A spatial multi-omic portrait of survival outcome for clear cell renal cell carcinoma2026
  4. 4Clinical value and in vitro validation of gene and molecular subtype identification in renal clear cell carcinoma2025
  5. 5The Resilient Subset: Cancer Stem Cells at the Core of Immunotherapy Resistance2026