An in situ molecular signature to predict early recurrence in hepatitis B virus-related hepatocellular carcinoma.

Abstract:

BACKGROUND & AIMS:To develop an in situ molecular signature to predict postsurgical recurrence in hepatocellular carcinoma (HCC) patients. METHODS:Immunohistochemistry was performed using tissue microarrays containing both tumoral and peri-tumoral regions of the advancing tumor edge from 336 HCC patients (289 were positive for hepatitis B virus) who underwent curative resection. Forty-nine variables were analyzed in the training set (n=151) using support vector machine and stepwise algorithms to develop a classifier to predict recurrence within 1 year, which was mainly caused by invasion or metastasis from the primary tumors. The classifier was further validated in an independent cohort of 185 patients (71 internal and 114 external). RESULTS:The final signature was composed of eight IHC features: CD80(T), B7-DC(T), HLA-DR(P), FasL(P), Bcl-2(T), Ki-67(T), cyclin D1(T), and CK19(T). In the independent test set, this classifier reliably predicted recurrence within 1 year (sensitivity, 69.1%; specificity, 65.0%) with an odds ratio of 4.149 (95% CI, 2.189-7.864). Based on a multivariate logistic model, the in situ molecular signature provided significant predictive power independent of tumor number, tumor size, vascular invasion and BCLC classification (p=0.001). The highest potential clinical impact of the classifier was observed in early-stage (BCLC classification 0-A) patients (p<0.0001), and the classifier was also predictive of the time-to-recurrence and overall survival (both p<0.0001). CONCLUSIONS:This in situ molecular classifier could provide a novel approach to identify patients who are at greatest risk for postsurgical recurrence of HCC and may benefit from intensive clinical follow-up or chemopreventive strategies.

journal_name

J Hepatol

journal_title

Journal of hepatology

authors

Xu J,Ding T,He Q,Yu XJ,Wu WC,Jia WH,Yun JP,Zhang Y,Shi M,Shao CK,Pan WD,Yin XY,Min J,Zhuang SM,Zheng L

doi

10.1016/j.jhep.2012.03.027

subject

Has Abstract

pub_date

2012-08-01 00:00:00

pages

313-21

issue

2

eissn

0168-8278

issn

1600-0641

pii

S0168-8278(12)00282-6

journal_volume

57

pub_type

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