OLUYEMI FALEGAN

Ms. OLUYEMI FALEGAN

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Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 February 2017 in Metabolites
Verified
Journal Article
Open access
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OFOLUYEMI FALEGAN
OLUYEMI FALEGAN
MBMark Ball
Mark Ball
RSRustem A. Shaykhutdinov
Rustem A. Shaykhutdinov
PPPhillip M. Pieroraio
Phillip M. Pieroraio
FFFarshad Farshidfar
Farshad Farshidfar
MHMatthew Hyndman
Matthew Hyndman
Renal cell carcinoma (RCC) is a heterogeneous disease that is usually asymptomatic until late in the disease. There is an urgent need for RCC specific biomarkers that may be exploited clinically for diagnostic and prognostic purposes. Preoperative fasting urine and serum samples were collected from patients with clinical renal masses and assessed with 1H NMR and GCMS (gas chromatography-mass spectrometry) based metabolomics and multivariate statistical analysis. Alterations in levels of glycolytic and tricarboxylic acid (TCA) cycle intermediates were detected in RCC relative to benign masses. Orthogonal Partial Least Square Discriminant Analysis plots discriminated between benign vs. pT1 (R2 = 0.46, Q2 = 0.28; AUC = 0.83), benign vs. pT3 (R2 = 0.58, Q2 = 0.37; AUC = 0.87) for 1H NMR-analyzed serum and between benign vs. pT1 (R2 = 0.50, Q2 = 0.37; AUC = 0.83), benign vs. pT3 (R2 = 0.72, Q2 = 0.68, AUC = 0.98) for urine samples. Separation was observed between benign vs. pT3 (R2 = 0.63, Q2 = 0.48; AUC = 0.93), pT1 vs. pT3 (R2 = 0.70, Q2 = 0.54) for GCMS-analyzed serum and between benign vs. pT3 (R2Y = 0.87; Q2 = 0.70; AUC = 0.98) for urine samples. This pilot study suggests that urine and serum metabolomics may be useful in differentiating benign renal tumors from RCC and for staging RCC.


24 July 2019 in Metabolites
Verified
Journal Article
Open access
PDF file
OFOLUYEMI FALEGAN
OLUYEMI FALEGAN
SEShanna A. Arnold Egloff
Shanna A. Arnold Egloff
AZAndries Zijlstra
Andries Zijlstra
MHMatthew Hyndman
Matthew Hyndman
HVHans Vogel
Hans Vogel
Renal cell carcinoma (RCC) is a heterogeneous malignancy which often develops and progresses asymptomatically. Benign oncocytomas are morphologically similar to malignant chromophobe RCC and distinguishing between these two forms on cross-sectional imaging remains a challenge. Therefore, RCC-specific biomarkers are urgently required for accurate and non-invasive, pre-surgical diagnosis of benign lesions. We have previously shown that dysregulation in glycolytic and tricarboxylic acid cycle intermediates can distinguish benign lesions from RCC in a stage-specific manner. In this study, preoperative fasting urine samples from patients with renal masses were assessed by ¹H nuclear magnetic resonance (NMR). Significant alterations in levels of tricarboxylic acid cycle intermediates, carnitines and its derivatives were detected in RCC relative to benign masses and in oncocytomas vs. chromophobe RCC. Orthogonal Partial Least Square Discriminant Analysis plots confirmed stage discrimination between benign vs. pT1 (R2 = 0.42, Q2 = 0.27) and benign vs. pT3 (R2 = 0.48, Q2 = 0.32) and showed separation for oncocytomas vs. chromophobe RCC (R2 = 0.81, Q2 = 0.57) and oncocytomas vs. clear cell RCC (R2 = 0.32, Q2 = 0.20). This study validates our previously described metabolic profile distinguishing benign tumors from RCC and presents a novel metabolic signature for oncocytomas which may be exploited for diagnosis before cross-sectional imaging.

19 December 2016 in Journal of Proteome Research
Verified
Journal Article
Closed access
OFOLUYEMI FALEGAN
OLUYEMI FALEGAN
HVHans J. Vogel
Hans J. Vogel
DHDustin S. Hittel
Dustin S. Hittel
LKLauren G. Koch
Lauren G. Koch
SBSteven L. Britton
Steven L. Britton
Jane ShearerJane Shearer
Jane Shearer