Imperial College London
Alternate

ProfessorMarkThursz

Faculty of Medicine, Department of Metabolism, Digestion and Reproduction

Professor of Hepatology. Head of Department
 
 
 
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Contact

 

+44 (0)20 3312 1903m.thursz

 
 
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Assistant

 

Ms Dawn Campbell +44 (0)20 3312 6454

 
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Location

 

Norfolk PlaceSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{U:2022:10.1158/1055-9965.EPI-21-0687,
author = {U, MRA and Shen, EY-L and Cartlidge, C and Alkhatib, A and Thursz, MR and Waked, I and Gomaa, AI and Holmes, E and Sharma, R and Taylor-Robinson, SD},
doi = {10.1158/1055-9965.EPI-21-0687},
journal = {Cancer Epidemiology, Biomarkers and Prevention},
pages = {1261--1274},
title = {Optimised systematic review tool: Application to candidate biomarkers for the diagnosis of hepatocellular carcinoma},
url = {http://dx.doi.org/10.1158/1055-9965.EPI-21-0687},
volume = {31},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - This review aims to develop an appropriate review tool for systematically collating metabolites that are dysregulated in disease and applies the method to identify novel diagnostic biomarkers for hepatocellular carcinoma (HCC). Studies that analysed metabolites in blood or urine samples where HCC was compared with comparison groups (healthy, pre-cirrhotic liver disease, cirrhosis) were eligible. Tumour tissue was included to help differentiate primary and secondary biomarkers. Searches were conducted on Medline and EMBASE. A bespoke 'risk-of-bias' tool for metabolomic studies was developed adjusting for analytical quality. Discriminant metabolites for each sample type were ranked using a weighted score accounting for the direction and extent of change and the risk of bias of the reporting publication. A total of 84 eligible studies were included in the review (54 blood, 9 urine and 15 tissue), with six studying multiple sample types. High-ranking metabolites, based on their weighted score, comprised energy metabolites, bile acids, acylcarnitines and lysophosphocholines. This new review tool addresses an unmet need for incorporating quality of study design and analysis to overcome the gaps in standardisation of reporting of metabolomic data. Validation studies, standardised study designs and publications meeting minimal reporting standards are crucial for advancing the field beyond exploratory studies.
AU  - U,MRA
AU  - Shen,EY-L
AU  - Cartlidge,C
AU  - Alkhatib,A
AU  - Thursz,MR
AU  - Waked,I
AU  - Gomaa,AI
AU  - Holmes,E
AU  - Sharma,R
AU  - Taylor-Robinson,SD
DO  - 10.1158/1055-9965.EPI-21-0687
EP  - 1274
PY  - 2022///
SN  - 1055-9965
SP  - 1261
TI  - Optimised systematic review tool: Application to candidate biomarkers for the diagnosis of hepatocellular carcinoma
T2  - Cancer Epidemiology, Biomarkers and Prevention
UR  - http://dx.doi.org/10.1158/1055-9965.EPI-21-0687
UR  - https://www.ncbi.nlm.nih.gov/pubmed/35545293
UR  - https://aacrjournals.org/cebp/article/31/7/1261/705182/Optimized-Systematic-Review-Tool-Application-to
UR  - http://hdl.handle.net/10044/1/97374
VL  - 31
ER  -
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