Evidence map›Paper›PMID 40205595›Full record

ArticleBMC urology2025

A pilot metabolomics study on clear cell renal cell carcinoma.

Ying Gan, Zheng Li, Mingjian Ruan, Yang Yang

Abstract read
In one paragraph

Article in BMC urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

4 authors.

Ying GanDepartment of Urology, Peking University First Hospital, Beijing, 100034, China.
Zheng LiDepartment of Urology, Peking University First Hospital, Beijing, 100034, China.
Mingjian RuanDepartment of Urology, Peking University First Hospital, Beijing, 100034, China.
Yang YangDepartment of Urology, Peking University First Hospital, Beijing, 100034, China. goldflamingo@pku.org.cn.

Funding

National Natural Science Foundation of China 82103239Natural Science Foundation of Beijing 7244419
6 · The paper itself

Abstract

Clear cell renal cell carcinoma (ccRCC) is fundamentally a metabolic disease. To investigate the underlying metabolite changes in the occurrence of ccRCC, we analyzed untargeted metabolomics of 15 ccRCC samples and paired adjacent non-malignant renal tissues by UHPLC-MS/MS analyses. In this study, 511 differential metabolites were screened, of which the top ten up-regulated metabolites in ccRCC were histamine, 1-methylnicotinamide, L-kynurenine, cortisol, tetrahydrocorticosterone, calcitriol, D-erythrose 4-phosphate, citric acid, sedoheptulose 1,7-bisphosphate, and UDP-alpha-D-galactose, and the top down-regulated metabolites were D-cysteine, acetylcholine, pantothenic acid, cytosine, UMP, biocytin, dUMP, 5-phosphoribosyl 1-pyrophosphate, cytidine-5'-monophosphate, and 16α-hydroxyestrone. KEGG pathways enrichment analysis further demonstrated several highlighted pathways: steroid hormone biosynthesis, pyrimidine metabolism, and vitamin digestion and absorption. Our study reveals metabolic patterns of ccRCC and provides insight into the potential biomarker panel to diagnose ccRCC.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsMetabolomicsAdultAgedBiomarkers, TumorFemaleHumansMaleMiddle AgedPilot ProjectsBiomarkers, TumorClear cell renal cell carcinomaDifferential metabolitesKEGG pathwayMetabolomics

Identifiers

PMID40205595
PMCPMC11980119

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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.