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Abstract #4097

Low- and High-Grade Bladder Cancer Determination via Human Serum-Based Metabolomics Approach

Navneeta Bansal 1 , Ashish Gupta 2 , Anil Mandhani 3 , Abbas Ali Mahdi 4 , and Satya Narain Sankhwar 1

1 Department of Urology, King George's Medical University, Lucknow, UP, India, 2 Department of Metabolomics, Centre of Biomedical Research, Lucknow, UP, India, 3 Department of Urology, SGPGIMS, Lucknow, UP, India, 4 Department of Biochemistry, King Georges Medical University, Lucknow, UP, India

A novel approach of 1H NMR spectroscopy of serum metabolite profile and multivariate statistical approachorthogonal partial least-squares discriminant analysis (PLS-DA) was carried out to identify differential biomarkers of urinary bladder cancer (UBC) comprising, low grade (LG) and high grade (HG). The study was carried out on 67 UBC patients and 32 healthy volunteers to differentiate among healthy control (HC), LG and HG. PLS-DA-derived serum metabolomics were able to precisely discriminate 95% of cases of BC with 96% sensitivity and 94% specificity when compared to HC and 98% of cases of LG from HG with 97% sensitivity and 99% specificity.

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