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Glycosaminoglycan Profiling in Patients' Plasma and Urine Predicts the Occurrence of Metastatic Clear Cell Renal Cell Carcinoma.

Abstract：

:Metabolic reprogramming is a hallmark of clear cell renal cell carcinoma (ccRCC) progression. Here, we used genome-scale metabolic modeling to elucidate metabolic reprogramming in 481 ccRCC samples and discovered strongly coordinated regulation of glycosaminoglycan (GAG) biosynthesis at the transcript and protein levels. Extracellular GAGs are implicated in metastasis, so we speculated that such regulation might translate into a non-invasive biomarker for metastatic ccRCC (mccRCC). We measured 18 GAG properties in 34 mccRCC samples versus 16 healthy plasma and/or urine samples. The GAG profiles were distinctively altered in mccRCC. We derived three GAG scores that distinguished mccRCC patients with 93.1%-100% accuracy. We validated the score accuracies in an independent cohort (up to 18 mccRCC versus nine healthy) and verified that the scores normalized in eight patients with no evidence of disease. In conclusion, coordinated regulation of GAG biosynthesis occurs in ccRCC, and non-invasive GAG profiling is suitable for mccRCC diagnosis.

journal_name

Cell Rep

journal_title

Cell reports

authors

Gatto F,Volpi N,Nilsson H,Nookaew I,Maruzzo M,Roma A,Johansson ME,Stierner U,Lundstam S,Basso U,Nielsen J

doi

10.1016/j.celrep.2016.04.056

subject

Has Abstract

pub_date

2016-05-24 00:00:00

pages

1822-36

issue

8

issn

2211-1247

pii

S2211-1247(16)30500-9

journal_volume

15

pub_type

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