Evidence map›Paper›PMID 42086669›Full record

ArticleBritish journal of cancer2026

Urinary proteome and metabolome uncover tumor microenvironment and cellular metabolism changes of renal clear cell carcinoma.

Xiaoyan Liu, Mingxin Zhang, Yi Zhao, Yuting Dai, Chongxu Han, Jing Chen, Haidan Sun, Zhengguang Guo, Feng Qi, Yuxue Zhang and 3 more

Abstract read
In one paragraph

Article in British journal of cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Xiaoyan Liu *Proteomics Research Center, Core Facility of Instrument, Institute of Basic Medical Sciences & School of Basic Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Mingxin Zhang *Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Yi ZhaoDepartment of Urology, Peking Union Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Yuting DaiDepartment of Anesthesiology, Qingdao Hospital, University of Health and Rehabilitation Sciences (Qingdao Municipal Hospital), Qingdao, China.
Chongxu HanDepartment of Laboratory Medicine, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, Jiangsu, China.
Jing ChenDepartment of Laboratory Medicine, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, Jiangsu, China.
Haidan SunProteomics Research Center, Core Facility of Instrument, Institute of Basic Medical Sciences & School of Basic Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Zhengguang GuoProteomics Research Center, Core Facility of Instrument, Institute of Basic Medical Sciences & School of Basic Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Feng QiProteomics Research Center, Core Facility of Instrument, Institute of Basic Medical Sciences & School of Basic Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Yuxue ZhangProteomics Research Center, Core Facility of Instrument, Institute of Basic Medical Sciences & School of Basic Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Yushi ZhangDepartment of Urology, Peking Union Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China. zhangyushi2014@126.com.
Haitao NiuDepartment of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China. niuht0532@126.com.
Wei SunProteomics Research Center, Core Facility of Instrument, Institute of Basic Medical Sciences & School of Basic Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China. sunwei@ibms.pumc.edu.cn.ORCID http://orcid.org/0000-0003-1120-6832

Funding

National Natural Science Foundation of China (National Science Foundation of China) 31901039National Natural Science Foundation of China (National Science Foundation of China) 82170524
6 · The paper itself

Abstract

backgroundClear cell renal carcinoma (ccRCC) is the most frequent form of kidney tumors with high recurrence and progression rates. Early diagnosis of ccRCC could significantly improve survival rate. Liquid biopsies could capture molecular information which would not only shed more light on the signatures of the onset of ccRCC, but also discover potential biomarker for early diagnosis.

methodWe applied LC-MS to profile the urine proteome and metabolome of 314 ccRCC, 341 healthy control and 49 kidney benign disease enrolled from three cohorts. Further cell origin annotation and protein-protein correlation analysis were performed to explain the possible TME mechanistic.

resultsWe revealed significant changes of extracellular matrix (ECM) organization, complement and coagulation cascades, amino acid metabolism and fatty acid metabolism in ccRCC. Cell origin annotation of cancer proteins revealed the potential role of myofibroblast cell during ECM organization. Finally, we discovered six potential urinary biomarkers, FGB,CILP, ITIH1, GUCA2B, anserine, oxindole and established models for ccRCC diagnosis with the AUC value of 0.84, 0.80 and 0.86 for protein model, metabolites model and multi-omics model in an external cohort. The protein model also showed discriminatory ability for ccRCC and benign with the AUC value of 0.75.

conclusionPresent study provided urinary molecular changes, which could reflect TME disorder and cellular metabolism reprogramming.

Indexed as

Biomarkers, TumorCarcinoma, Renal CellKidney NeoplasmsMetabolomeProteomeTumor MicroenvironmentCase-Control StudiesExtracellular MatrixFemaleHumansMaleMiddle AgedProteomicsBiomarkers, TumorProteome

Identifiers

PMID42086669
PMCPMC13373167

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