Metabolomics

Dataset Information

0

Distinct succinate modifying products are clinically diagnostic and prognostic biomarkers for fumarate hydratase deficient renal cell carcinoma


ABSTRACT:

Germline or somatic loss-of-function of fumarate hydratase (FH) predisposes patients to an aggressive form of renal cell carcinoma (RCC). Since other than tumor resection, there is no effective therapy for FH-deficient RCC, a competent method for early diagnosis and for early detection of recurrent and metastatic disease is an unmet clinical need. Currently, at best, an annual MRI scan is offered, though typically, MRI is used for symptomatic patients only. Therefore, finding specific and sensitive biomarkers suitable for routine and simple screens is crucial for improving the clinical outcome of these patients. Taking advantage of the robust metabolic rewiring that occurs in FH-deficient cells, we performed a large-scale study of plasma metabolomics comparing FH-deficient RCC patients to no-tumor control individuals or to wildtype FH RCC patients. Our results indicated two fumarate-derived metabolites, succinyl-adenosine and succinic-cysteine, to be outstanding plasma biomarkers for early diagnosis, with a positive predictive value of more than 90%. Furthermore, using pre-clinical and biochemical studies, we identified the enzymatic mechanisms by which these biomarkers are produced in and around the tumors. 

INSTRUMENT(S): Liquid Chromatography MS -, Liquid Chromatography MS - negative - reverse phase, Liquid Chromatography MS - alternating - hilic, Liquid Chromatography MS - positive - reverse phase

SUBMITTER: Wu Xiaoyu 

PROVIDER: MTBLS3628 | MetaboLights | 2022-08-12

REPOSITORIES: MetaboLights

Similar Datasets

2022-05-28 | GSE204846 | GEO
2019-08-08 | PXD013111 | Pride
2016-01-01 | GSE44548 | GEO
2016-07-03 | E-GEOD-44548 | biostudies-arrayexpress
2014-11-06 | GSE63002 | GEO
2014-11-06 | GSE63001 | GEO
2014-11-06 | GSE63000 | GEO
2021-02-15 | GSE166734 | GEO
2024-01-26 | PXD043514 | Pride
2023-07-25 | GSE234732 | GEO