Evidence map›Paper›PMID 40525887›Full record

ArticleEndocrine-related cancer2025

Plasma metabolomics for the preoperative diagnosis of parathyroid carcinoma.

Jinheng Xiao, Ming Cui, Qingyuan Zheng, Sen Yang, Tianqi Chen, Ya Hu

Abstract read
In one paragraph

Article in Endocrine-related cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ming Cui
Qingyuan Zheng
Sen Yang
Tianqi Chen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parathyroid carcinoma (PC) is a rare endocrine malignancy with a poor prognosis. Preoperative diagnosis remains a major challenge in clinical practice because of limited diagnostic methods and non-specific clinical features. This study aimed to describe the distinct plasma metabolic profiles of PC and parathyroid adenoma (PA) patients and identify promising biomarkers for the preoperative differential diagnosis of PC. A total of 115 patients were enrolled in this retrospective study, including 70 patients (24 PC and 46 PA) in the discovery cohort and 45 patients (15 PC and 30 PA) in the validation cohort. Plasma samples were collected before operation. LC-MS/MS analysis was utilised on the discovery cohort to explore the metabolic profile and find out differentially abundant metabolites. Subsequently, potential diagnostic biomarkers were verified in an external validation cohort to find out novel biomarkers for the differential diagnosis of PC before surgery. Compared with the plasma samples of PA patients, a total of three upregulated and 42 downregulated metabolites were identified by MS/MS in the plasma samples of PC patients. The differentially abundant metabolites were significantly enriched in the arachidonic acid, tryptophan, and hormone metabolism pathways. Notably, 7-ketodeoxycholic acid (P = 0.002, AUC = 0.804) and tryptophan (P < 0.001, AUC = 0.838) were confirmed to show high accuracy in differential diagnosis in the validation cohort. Therefore, metabolomics analysis of parathyroid neoplasms revealed significant differences in metabolic profiles between PAs and PCs. The plasma levels of 7-ketodeoxycholic acid and tryptophan could serve as potential diagnostic biomarkers for PC.

Indexed as

MetabolomicsParathyroid NeoplasmsAdultAgedBiomarkers, TumorDeoxycholic AcidDiagnosis, DifferentialFemaleHumansLiquid Chromatography-Mass SpectrometryMaleMiddle AgedRetrospective StudiesTryptophan7-ketodeoxycholic acidBiomarkers, TumorDeoxycholic AcidTryptophan7-ketodeoxycholic acidmetabolomicsparathyroid adenomaparathyroid carcinomatryptophan

Identifiers

PMID40525887
PMCPMC12231172

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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.