A robust ammonia metabolism gene signature identified by machine learning predicts prognosis and immunotherapy response in clear cell renal cell carcinoma

Our integrated approach overcomes modeling constraints from limited samples and high-dimensional data and establishes a novel ammonia metabolism-related prognostic signature for ccRCC. CSAD emerges as a promising biomarker warranting further investigation.

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Publication Details

Journal
Frontiers in Oncology
Published
2026-01-08
DOI
https://doi.org/10.3389/fonc.2025.1709096
Primary Topic
Ferroptosis and cancer prognosis
Type
article
Field-Weighted Citation Impact
0.00
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article

A robust ammonia metabolism gene signature identified by machine learning predicts prognosis and immunotherapy response in clear cell renal cell carcinoma

Hua Jiang, Jiaxi Wang, Junhang Luo, Jinhuan Wei et al.
Frontiers in Oncology
Ferroptosis and cancer prognosis
article

A robust ammonia metabolism gene signature identified by machine learning predicts prognosis and immunotherapy response in clear cell renal cell carcinoma

Hua Jiang, Jiaxi Wang, Junhang Luo, Jinhuan Wei, Zhilin Gong, Hansen Lin, Xu Chen, Jun Pang, Wei Chen
article en

Abstract

Our integrated approach overcomes modeling constraints from limited samples and high-dimensional data and establishes a novel ammonia metabolism-related prognostic signature for ccRCC. CSAD emerges as a promising biomarker warranting further investigation.

Frontiers in OncologyVol. 15
Sun Yat-sen University (CN), The Seventh Affiliated Hospital of Sun Yat-sen University (CN), The First Affiliated Hospital, Sun Yat-sen University (CN)
Openalex Percentile: Top 95%
Ferroptosis and cancer prognosis
DOIOpen Access PDFOpenAlex
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A robust ammonia metabolism gene signature identified by machine learning predicts prognosis and immunotherapy response in clear cell renal cell carcinoma — Hua Jiang, Jiaxi Wang, et al. · Frontiers in Oncology (2026) | TGRS Research Map | TGRS