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460A AASLD ABSTRACTS HEPATOLOGY, October, 2015<br />

cedure. A novel surgical approach, ALPPS (Associating Liver<br />

Partition and Portal Vein Ligation for Staged Hepatectomy),<br />

which combines PVL with parenchymal transition, may be used<br />

for unresectable disease due to its ability to markedly accelerate<br />

liver regeneration via unknown mechanisms. We hypothesize<br />

that transection is sufficient to activate plasma proteins<br />

necessary for accelerated liver regeneration, and that portal<br />

vein ligation (PVL) is necessary to stimulate liver growth. Aim<br />

Using a novel mouse model, we aim at studying the molecular<br />

mechanisms underlying the accelerated liver growth associated<br />

with ALPPS. Methods Liver tissue was collected at early time<br />

points after ALPPS (30min, 1h, 4h, 8h, 12h) and analysed by<br />

RNA deep sequencing. Plasma samples were collected 30min<br />

after ALPPS Step 1 for proteomics analysis by protein enrichment,<br />

albumin depletion, and mass spectrometry. Each protein<br />

fraction is confirmed for activity by inducing accelerated regeneration<br />

upon injection into mice treated with PVL only. Results<br />

Injection of plasma, derived from mice, subjected to ALPPS,<br />

into PVL alone mice is sufficient to accelerate liver regeneration<br />

as observed following ALPPS surgery. Likewise, a comparable<br />

response is induced in PVL alone mice by plasma from<br />

mice subjected to transection only. Plasma proteins appear<br />

to chiefly account for the accelerated liver growth. Transcript<br />

analysis shows that differential gene expression occurs 4 hours<br />

post ALPPS. The accelerated liver growth is characterized by<br />

a hyperplastic reaction reflected in an increased number of<br />

hepatocytes entering the cell cycle as early as 8 hours after<br />

surgery. Conclusions ALPPS is conducive to accelerated liver<br />

regeneration through proteins circulating in the plasma as early<br />

as 30 minutes after the transection step. ALPPS-specific gene<br />

expression changes are observed in liver at early times after<br />

surgery and are consistent with the induction of regenerative<br />

pathways. Identification of plasma proteins stimulating liver<br />

growth and associated regenerative pathways may have a<br />

high therapeutic value in expanding the surgical cure of liver<br />

disease previously deemed unresectable.<br />

Disclosures:<br />

The following authors have nothing to disclose: Magda Langiewicz, Andrea<br />

Schlegel, Bostjan Humar, Rolf Graf, Pierre-Alain Clavien<br />

500<br />

Identifying novel therapeutic targets in HCC through<br />

an integrated transcriptomics and pharmacogenomics<br />

approach<br />

Bin Chen 1 , Li Ma 2 , Mei-Sze Chua 2 , Atul Butte 1 , Samuel K. So 2 ;<br />

1 Institute for Computational Health Sciences, UCSF, San Francisco,<br />

CA; 2 Asian Liver Center, Stanford University, Stanford, CA<br />

Background Large-scale gene expression profiling of disease<br />

systems perturbed by chemical agents in preclinical models<br />

allows the understanding of underlying cellular responses<br />

induced by the chemicals. Such information may guide the discovery<br />

of new therapeutic drugs and targets in specific disease<br />

systems. Using hepatocellular carcinoma (HCC) as our disease<br />

model, we hypothesized that genes whose expressions are specifically<br />

reversed by anti-cancer drugs may be potentially novel<br />

therapeutic targets in HCC. Methods and Materials We compiled<br />

data on IC 50<br />

s of anti-cancer drugs from ChEMBL (a chemical<br />

database of bioactive molecules with drug-like properties),<br />

and drug-induced gene expression signatures from LINCS (a<br />

database containing perturbation profiles of 1,000 genes in<br />

HCC cell lines) and from CMap (a database containing whole<br />

genome perturbation profiles in all cancer cell types). Additionally,<br />

we computed gene expression signatures of HCC and<br />

non-tumor liver samples from TCGA. We compared the HCC<br />

gene expression signature with the drug signatures, and computed<br />

the ability of each drug to reverse the HCC signature.<br />

Each drug was associated with a Reversing Gene Expression<br />

Score (RGES), and the correlation between the IC 50<br />

s and RGES<br />

of 36 drugs was examined. We further identified genes that<br />

are specifically reversed by anti-cancer drugs with IC 50<br />

s

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