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HEPATOLOGY, VOLUME 62, NUMBER 1 (SUPPL) AASLD ABSTRACTS 275A<br />

Disclosures:<br />

Andrew D. Cherniack - Grant/Research Support: Bayer AG<br />

Lewis R. Roberts - Grant/Research Support: Bristol Myers Squibb, ARIAD Pharmaceuticals,<br />

BTG, Wako Diagnostics, Inova Diagnostics, Gilead Sciences, Five<br />

Prime Therapeutics<br />

The following authors have nothing to disclose: Renumathy Dhanasekaran, Kyle<br />

Covington, Jennifer Watt, Daniel R. O’Brien, Ju-Seog Lee, Chad Creighton,<br />

Donna M. Munzy, David A. Wheeler<br />

130<br />

Targeting the TGF-β Pathway Increases Patient Survival<br />

for Hepatocellular Cancer<br />

Jian Chen 1 , Jiun-Sheng Chen 1 , Wilma Jogunoori 1 , Young Jin Gi 1 ,<br />

Yun Seong Jeong 1 , Xiaoping Su 1 , Asif Rashid 1 , Bibhuti Mishra 2 ,<br />

Jon White 2 , Milind Javle 1 , Marta L. Davila 1 , John R. Stroehlein 1 ,<br />

Xuemei Wang 1 , Jeffrey S. Morris 1 , Rehan Akbani 1 , Lopa Mishra 1 ;<br />

1 The University of Texas MD Anderson Cancer Center, Houston,<br />

TX; 2 Institute of Clinical Research, Veterans Affairs Medical Center,<br />

Washington DC, DC<br />

Liver cancers that include hepatocellular cancer (HCC) and<br />

intrahepatic cholangiocarcinoma are among the most challenging<br />

and lethal malignancies with a degree of complexity seldom<br />

seen in other cancers. Patients with HCC have a poor survival<br />

of 9-11 months. However, key driver pathways and identifying<br />

specific populations responsive to targeted therapeutics have<br />

remained elusive. Recent clinical <strong>studies</strong> show that targeting<br />

TGF-β in patients with high TGF-β level improves survival up<br />

to 21 months. Therefore, we hypothesized that genomic, transcriptomic<br />

profiles coupled with mouse mutants and functional<br />

analyses may identify specific patients with HCC with a high<br />

response rate to targeting TGF-β and present an attractive new<br />

treatment strategy. Methods and Results: (1) We analyzed the<br />

transcriptome of 488 hepatocellular cancers and screened for<br />

mutations in the TGF-β pathway in 202 HCCs from The Cancer<br />

Genome Atlas (TCGA). We found aberrant TGF-β superfamily<br />

in 72% of HCC with mutations in 38%, the greatest number<br />

being for the Smad adaptor β2SP (6%). (2) Increased levels of<br />

TGF-β genes were designated as an “activated” signature that<br />

is associated with hepatic fibrosis. Decreased levels of TGF-β<br />

genes were defined as an “inactivated” signature, which was<br />

associated with the loss of TGF-β tumor suppressor function.<br />

HCCs characterized by the “inactivated” TGF-β signature were<br />

associated with a significantly poorer survival particularly in<br />

early stage HCCs, compared to HCCs with the “activated”<br />

TGF-β signature (p=0.0027). (3) The TGF-β pathway is statistically<br />

significantly associated with DNA repair genes. (4)<br />

We performed (80x) whole-genome sequence analysis of eight<br />

additional HCCs to define the role of TGF-β in their development<br />

and characterize a potential novel “driver mutations” in<br />

HCV- and alcohol-associated HCC. (5) Further functional analyses<br />

were performed in mouse mutants in the TGF-β pathway<br />

that spontaneously develop HCC, patient derived xenografts,<br />

and human cell lines. Increased levels of TGF-β associated-E3<br />

ligases, including KEAP1, and PJA1 were found in 20% of<br />

HCCs. Targeting these E3 ligases revealed a strong response<br />

using patient derived xenografts. Conclusions: The molecular<br />

signatures of the TGF-β pathway we characterize here appear<br />

to have prognostic significance. The additional association<br />

with the DNA repair pathway supports new approaches to<br />

developing biomarkers. TGF-β and TGF-β-associated-E3 ligases<br />

are activated in distinct groups of liver cancer patients. It may<br />

be possible to identify subsets of patients, defined by the activation<br />

or inactivation of TGF-β signaling, who may respond more<br />

effectively to specific treatments.<br />

Disclosures:<br />

The following authors have nothing to disclose: Jian Chen, Jiun-Sheng Chen,<br />

Wilma Jogunoori, Young Jin Gi, Yun Seong Jeong, Xiaoping Su, Asif Rashid,<br />

Bibhuti Mishra, Jon White, Milind Javle, Marta L. Davila, John R. Stroehlein,<br />

Xuemei Wang, Jeffrey S. Morris, Rehan Akbani, Lopa Mishra<br />

131<br />

A Study for the Risk Factors of Hepatocellular Carcinoma<br />

in Cirrhotic Patients with Chronic Hepatitis B<br />

Yuanqing Zhang 1 , Lijun Peng 1,2 , Yirong Cao 1 , Zhiping Zeng 1 ,<br />

Yujing Wu 1 , Hong Shi 1 , Shiyao Chen 1 , Jiyao Wang 1 , Scott L.<br />

Friedman 1,3 , John J. Sninsky 1,4 , Jinsheng Guo 1 ; 1 Division of Digestive<br />

Diseases, Zhong Shan Hospital, Fu Dan University, Shanghai,<br />

China; 2 Department of Gastroenterology, Linyi People’s Hospital,<br />

Linyi, China; 3 Division of Liver Diseases,, Mount Sinai Hospital,<br />

Icahn School of Medicine at Mount Sinai, New York, NY; 4 Celera/Quest<br />

Diagnostics, Alameda, CA<br />

Background and Aims: Chronic hepatitis B virus infection and<br />

cirrhosis are important risk factors for hepatocellular carcinoma<br />

(HCC), however the HCC risk can vary widely among individuals.<br />

The aim of this study was to identify the clinical factors<br />

and host genetic single nucleotide polymorphisms (SNPs) that<br />

are associated with HCC risk in cirrhotic patients with CHB.<br />

Methods: Data from 949 Chinese Han patients with chronic<br />

HBV infection were analyzed by single and multivariate logistic<br />

regression analysis in cirrhotic patients without (n = 281) and<br />

with HCC (n = 434) to identify the clinical factors associated<br />

with HCC risk. In a parallel study, DNA was extracted from<br />

879 chronic HBV patients including non-cirrhotic HBV carriers<br />

and CHB patients (n = 234), cirrhotic patients without (n =<br />

257) and with HCC (n = 388) for genotyping of ten candidate<br />

SNPs using polymerase chain reaction-ligase detection<br />

reaction method. The correlations between the candidate SNPs<br />

and HCC risk were analyzed by chi-square test followed by<br />

logistic regression analysis. Results: 1. Ineffective antiviral treatment<br />

(OR=5.2), fatty liver (OR=3.4), family history of HCC<br />

(OR=2.3), drinking history (OR=2.2), and age≥50 (OR=1.8)<br />

were independent risk factors for HCC in cirrhotic patients with<br />

CHB. Longer HBV infection increased the HCC risk whereas<br />

sustained virologic suppression significantly lowered HCC<br />

risk compared to those without enough response or untreated<br />

patients, especially in patients with decompensated cirrhosis.<br />

Even after achieving viral suppression, 36.5% (62/170) of cirrhotic<br />

patients with CHB still developed HCC. Fatty liver, family<br />

history of HCC and HBV infection were significantly associated<br />

with the HCC development in these patients. 2. After adjusted<br />

for influencing factors, TLR4 rs11536889 was found to be a<br />

protective factor (OR for CC vs. GG+GC or GG =0.4 and<br />

0.6, respectively) whereas SPP1 rs2853744 (OR for TT vs. GG<br />

and GT+TT vs. GG =1.9 and 3.1, respectively) and AP3S2<br />

rs2290351 (OR for GA+AA or GA vs. GG =2.5 and 2.9,<br />

respectively) were risk factors of HCC in cirrhotic patients with<br />

CHB. In cirrhotic patients with CHB and drinking history, MLEC<br />

rs7976497 (OR for TT vs. CC=2.8, CT+TT vs. CC=3.6) and<br />

SOCS3 rs4969168 (OR for GG vs. AA=2.4) were found to be<br />

risk factors of HCC. Conclusion: Ineffective antiviral treatment,<br />

fatty liver, family history of HCC, drinking history and age≥50<br />

are risk factors for HCC. Sustained suppression of HBV does<br />

not remove the risk of HCC. Specific host genetic factors may<br />

impact on HCC development in cirrhotic patients with CHB<br />

including a protective SNP in TLR4, and risk SNPs in SPP1,<br />

AP3S2, MLEC, and SOCS3.

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