Literature DB >> 25569223

Blood gene signature for early hepatocellular carcinoma detection in patients with chronic hepatitis B.

Haniza Omar1, Chun Ren Lim, Samuel Chao, Michelle Mei Lin Lee, Chin Wei Bong, Edie Jian Jiek Ooi, Choon Geok Yu, Soek Siam Tan, Muhammad Radzi Abu Hassan, Jayaram Menon, Raman Muthukaruppan, Mandeep Singh, Nik Azim Nik Abdullah, Boon Phoe Ooi, Robert Phooi Huat Ding, Eng Joo Low, Francis Tan, David Novak, David F Harris, Hengxuan Yang, Ismail Merican, Choong-Chin Liew.   

Abstract

PURPOSE: Up to 25% of chronic hepatitis B (CHB) patients eventually develop hepatocellular carcinoma (HCC), a disease with poor prognosis unless detected early. This study identifies a blood-based RNA biomarker panel for early HCC detection in CHB.
MATERIALS AND METHODS: A genome-wide RNA expression study was performed using RNA extracted from blood samples from Malaysian patients (matched HCC, CHB, controls). Genes differentiating HCC from controls were selected for further testing using quantitative real-time polymerase chain reaction. Finally, a 6-gene biomarker panel was identified and characterized using a training set (cohort I = 126), and tested against 2 test sets (cohort II = 222; cohort III = 174). The total number of samples used for each group is: HCC + CHB = 143, CHB = 211, control = 168.
RESULTS: Our gene panel displays a consistent trend distinguishing HCC from controls in our test sets, with an area under receiver-operating characteristic curve of 0.9 in cohort III. Our independent test set (cohort III) showed that the gene panel had a sensitivity of 70% with a specificity of 92%. The biomarker profile for HCC was consistently detected in a small subgroup of CHB patients, thus potentially predicting early, preclinical cases of cancer that should be screened more intensively.
CONCLUSION: The biomarkers identified in this study can be used as the basis of a blood-based test for the detection of early HCC in CHB.

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Year:  2015        PMID: 25569223     DOI: 10.1097/MCG.0000000000000112

Source DB:  PubMed          Journal:  J Clin Gastroenterol        ISSN: 0192-0790            Impact factor:   3.062


  3 in total

1.  Mining the Dynamic Genome: A Method for Identifying Multiple Disease Signatures Using Quantitative RNA Expression Analysis of a Single Blood Sample.

Authors:  Samuel Chao; Changming Cheng; Choong-Chin Liew
Journal:  Microarrays (Basel)       Date:  2015-12-10

2.  Glutathione species and metabolomic prints in subjects with liver disease as biological markers for the detection of hepatocellular carcinoma.

Authors:  Juan R Sanabria; Rajan S Kombu; Guo-Fang Zhang; Yana Sandlers; Jizhou Ai; Rafael A Ibarra; Rime Abbas; Kush Goyal; Henri Brunengraber
Journal:  HPB (Oxford)       Date:  2016-10-27       Impact factor: 3.647

3.  Immune-related gene expression signatures in colorectal cancer.

Authors:  Zhenqing Sun; Wei Xia; Yali Lyu; Yanan Song; Min Wang; Ruirui Zhang; Guode Sui; Zhenlu Li; Li Song; Changliang Wu; Choong-Chin Liew; Lei Yu; Guang Cheng; Changming Cheng
Journal:  Oncol Lett       Date:  2021-05-20       Impact factor: 2.967

  3 in total

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