Development of a metabolism-associated prognostic risk model based on immune landscape stratification in prostate cancer

Our findings highlight the metabolic and immunological heterogeneity of prostate cancer and provide a novel metabolism-based prognostic model. Targeting tumor metabolism may enhance immune responses and improve risk stratification and therapeutic outcomes in PCa patients.

Authors

Institutions

Publication Details

Journal
Discover Oncology
Published
2025-09-26
DOI
https://doi.org/10.1007/s12672-025-03269-6
Citations
1
Primary Topic
Cancer, Lipids, and Metabolism
Type
article
Field-Weighted Citation Impact
0.94
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development of a metabolism-associated prognostic risk model based on immune landscape stratification in prostate cancer

Yuanting Liu, Yixiao Shi, Yujie Cao, Yuchun Zhu
1 citations
Discover Oncology
Cancer, Lipids, and Metabolism
0.94
article

Development of a metabolism-associated prognostic risk model based on immune landscape stratification in prostate cancer

Yuanting Liu, Yixiao Shi, Yujie Cao, Yuchun Zhu
article en
1 citations

Abstract

Our findings highlight the metabolic and immunological heterogeneity of prostate cancer and provide a novel metabolism-based prognostic model. Targeting tumor metabolism may enhance immune responses and improve risk stratification and therapeutic outcomes in PCa patients.

Discover OncologyVol. 16(1)
Sichuan University (CN), West China Hospital of Sichuan University (CN)
Openalex Percentile: Top 20%
Cancer, Lipids, and Metabolism
0.94
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.