Evidence map›Paper›PMID 42311813›Full record

ArticleBJUI compass2026

1H MR-based detection of human plasma metabolic alterations in clear cell renal cell carcinoma.

Raj Kumar Sharma, Meiyappan Solaiyappan, Ardit Feinaj, Stephan Brönimann, Nirmish Singla, Zaver M Bhujwalla, Yasser Ged

Abstract read
In one paragraph

Article in BJUI compass, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Raj Kumar SharmaDivision of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science The Johns Hopkins University School of Medicine Baltimore Maryland USA.
Meiyappan SolaiyappanDivision of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science The Johns Hopkins University School of Medicine Baltimore Maryland USA.ORCID https://orcid.org/0000-0002-2911-3936
Ardit FeinajSidney Kimmel Comprehensive Cancer Center The Johns Hopkins University School of Medicine Baltimore Maryland USA.
Stephan BrönimannBrady Urologic Institute The Johns Hopkins University School of Medicine Baltimore Maryland USA.
Nirmish SinglaBrady Urologic Institute The Johns Hopkins University School of Medicine Baltimore Maryland USA.
Zaver M BhujwallaDivision of Cancer Imaging Research, The Russell H. Morgan Department of Radiology and Radiological Science The Johns Hopkins University School of Medicine Baltimore Maryland USA.
Yasser GedSidney Kimmel Comprehensive Cancer Center The Johns Hopkins University School of Medicine Baltimore Maryland USA.ORCID https://orcid.org/0000-0001-6671-7002

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI ALAN KEITH MEEKER · 1985 to 2026
$208.6M
Molecular Imaging and Theranostics of CancerR35CA209960 · NCI · JOHNS HOPKINS UNIVERSITY · PI BHUJWALLA, ZAVER M. · 2017 to 2023
$6.5M
NCI NIH HHS P30 CA006973NCI NIH HHS R35 CA209960
6 · The paper itself

Abstract

Objectives: This study aimed to evaluate the potential of plasma-based proton magnetic resonance spectroscopy (1H-MRS) for non-invasive discrimination between clear cell renal cell carcinoma (ccRCC), benign renal masses (angiomyolipoma and oncocytoma) and healthy controls by identifying disease-specific metabolic signatures. Patients and Methods: We performed 1H-MRS metabolic profiling of human plasma samples from 30 individuals divided into three cohorts: ccRCC ( Results: We observed altered metabolic plasma profiles in ccRCC patients compared to normal controls and benign patients. We detected significantly increased concentrations of hydroxybutyrate (normal vs. ccRCC, Conclusion: This pilot study demonstrates that plasma 1H-MRS can detect metabolic alterations associated with ccRCC and benign renal masses. These findings support the feasibility of using metabolomic profiling as a non-invasive diagnostic tool for renal mass characterization. Larger validation studies are warranted to confirm diagnostic accuracy and explore utility in clinical decision-making.

Indexed as

cancer metabolomicsMRSplasma metabolitesRCCsmall renal mass

Identifiers

PMID42311813
PMCPMC13270396

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.