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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