Integrated transcriptomics and machine learning reveal REN as a dual regulator of tumor stemness and NK cell evasion in Wilms tumor progression
Qingfei Cao, Junyi Li, Yunfei Zou, Changwen Xu, Huihui Tang, Meixue Chen

TL;DR
This study identifies the REN gene as a key driver of tumor stemness and immune evasion in Wilms tumor, suggesting it as a potential target for precision cancer therapy.
Contribution
The study introduces a novel Cancer Stemness Prognostic Index and identifies REN as a dual regulator of tumor stemness and NK cell evasion in Wilms tumor.
Findings
REN-expressing tumor cells promote NK cell exhaustion through specific ligand-receptor interactions.
High-CSPI tumors show enhanced stemness and metabolic reprogramming with suppressed immune activity.
REN knockdown significantly impairs tumor proliferation, migration, and survival in vitro.
Abstract
Wilms tumor (WT) is the most common pediatric kidney cancer, which presents significant therapeutic challenges, particularly in high-risk cases, due to chemotherapy resistance and immunosuppressive tumor microenvironments (TMEs). Tumor stemness and immune evasion mechanisms are implicated in poor clinical outcomes, yet the molecular drivers underpinning these processes remain inadequately understood. We employed an integrative approach combining single-cell RNA sequencing (scRNA-seq), spatial transcriptomics, bulk RNA-seq, and advanced machine learning techniques to uncover molecular regulators of tumor behavior in WT. A novel Cancer Stemness Prognostic Index (CSPI) was developed using machine learning algorithms to stratify WT patients by risk and histological subtype. Additionally, molecular docking simulations and in vitro functional assays were performed to validate the role of key…
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Taxonomy
TopicsRenal and related cancers · Renal cell carcinoma treatment · Cancer Genomics and Diagnostics
