Evidence map›Paper›PMID 41233804›Full record

ArticleJournal of translational medicine2025

Glutamine metabolism reprogramming promotes bladder cancer progression via PYCR1: a multi-omics and functional validation study.

Xinjia Ding, Enkui Zhang, Zhou Huang, Xiaohui Li, Zhigao Wang, Yanping Wu, Chao Liu, Shikai Wu

Abstract readValidation Study
In one paragraph

Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. [Research Progress on the Role and Mechanisms of PYCR1 
in Tumorigenesis and Progression].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2026
    Review
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Xinjia Ding *Department of Medical Oncology, Peking University First Hospital, Beijing, China.
Enkui Zhang *Department of Hepatobiliary and Pancreatic Surgery, Peking University First Hospital, Beijing, China.
Zhou Huang *Department of Radiation Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, China.
Xiaohui LiDepartment of Medical Oncology, Peking University First Hospital, Beijing, China.
Zhigao WangDepartment of Medical Oncology, Peking University First Hospital, Beijing, China.
Yanping WuDepartment of Medical Oncology, Peking University First Hospital, Beijing, China. wypmk@foxmail.com.
Chao LiuDepartment of Radiation Oncology, Peking University First Hospital, Beijing, China. charles_liu@hsc.pku.edu.cn.
Shikai WuDepartment of Medical Oncology, Peking University First Hospital, Beijing, China. skywu4923@sina.com.ORCID 0000-0002-0317-3148

Funding

Beijing Medical Award Fund YXJL-2020-0785-0655National Nature Science Foundation of China 82103493Postdoctoral Fellowship Program of CPSF GZB20230041
6 · The paper itself

Abstract

backgroundBladder cancer (BLCA) is a prevalent malignancy worldwide, with advanced stages linked to poor prognosis. Although immune checkpoint inhibitors (ICIs) show clinical promise in treating both operable and advanced BLCA, predicting patient responses remains a major challenge. Glutamine metabolism, a key aspect of metabolic reprogramming, has been implicated in tumor progression and immune modulation. However, the exact role of glutamine metabolism in BLCA remains poorly understood. This study aims to explore its association with clinical outcomes and immunotherapy response while functionally validating key regulatory genes.

methodsAn integrated approach combining targeted metabolomics, single-cell RNA sequencing, and bulk transcriptomic data was used to profile glutamine metabolism in BLCA comprehensively and identify potential metabolic biomarkers. A prognostic model, termed GMscore, based on glutamine metabolism, was constructed using principal component analysis (PCA). Key regulatory genes were identified through random forest analysis. Functional assays, including in vitro proliferation, migration, and metabolic assays, as well as in vivo xenograft models, were employed to validate the findings.

resultsTargeted metabolomics revealed increased glutamine metabolism in BLCA cell lines. The GMscore model, developed and validated across multiple cohorts, accurately predicted patient survival. In two immunotherapy cohorts (IMvigor210 and GSE91061), a lower GMscore correlated with improved therapeutic response, suggesting its potential as a predictive biomarker for immunotherapy efficacy. PYCR1 was identified as a key regulatory gene, exhibiting high expression in epithelial cells and cancer-associated fibroblasts (CAFs). Functional assays demonstrated that PYCR1 knockdown inhibited cell proliferation and migration and suppressed tumor growth in vivo. Mechanistically, PYCR1 facilitated proline synthesis through P5CS and activated the PI3K/AKT/mTOR signaling pathway, which modulated glutamine utilization and metabolic reprogramming in BLCA.

conclusionsThis study provides a comprehensive analysis of glutamine metabolism in BLCA and introduces a clinically relevant prognostic model. PYCR1 was identified as a central metabolic regulator, underscoring its critical role in tumor development and progression.

Indexed as

Disease ProgressionGlutamineMetabolomicsPyrroline Carboxylate ReductasesUrinary Bladder NeoplasmsAnimalsCell Line, TumorCell MovementCell Proliferationdelta-1-Pyrroline-5-Carboxylate ReductaseFemaleGene Expression Regulation, NeoplasticHumansMetabolic ReprogrammingMiceMultiomicsdelta-1-Pyrroline-5-Carboxylate ReductaseGlutaminePyrroline Carboxylate ReductasesBladder cancerGlutamine metabolismMetabolic reprogrammingPrognostic modelPYCR1Tumor microenvironment

Identifiers

PMID41233804
PMCPMC12613347

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.