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

Summary, in English

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.

• Author: Francesco Gatto; Nicola Volpi; Helén Nilsson; Intawat Nookaew; Marco Maruzzo; Anna Roma; Martin E. Johansson; Ulrika Stierner; Sven Lundstam; Umberto Basso; Jens Nielsen
• Department/s: Clinical pathology, Malmö; BioCARE: Biomarkers in Cancer Medicine improving Health Care, Education and Innovation
• Publishing year: 2016-05-24
• Language: English
• Pages: 1822-1836
• Publication/Series: Cell Reports
• Volume: 15
• Issue: 8
• Links: http://dx.doi.org/10.1016/j.celrep.2016.04.056
• Document type: Journal article
• Publisher: Cell Press
• Topic: Cancer and Oncology
• Status: Published
• Research group: Clinical pathology, Malmö
• ISBN/ISSN/Other: ISSN: 2211-1247