Llovet, Josep M.

4100 Background: Checkpoint inhibition with anti-PD1 is able to elicit objective response rates (ORR) of ̃ 20% in patients with advanced hepatocellular carcinoma (aHCC) but molecular biomarkers predicting response remain unknown. Here, we define biomarkers of response and primary resistance to anti-PD1 in aHCC by analyzing molecular features prior to systemic therapy. Methods: Through an international consortium of 13 referral centers, we gathered 111 fresh and archived tumor samples from patients with advanced HCC treated with single agent anti- PD1 therapy. Genomic analysis was performed with whole genome expression arrays, CTNNB1 exon 3 mutation assessment and histological evaluation. Results: Overall, we performed transcriptomic analysis in 83 patients, 28 of which were treated in first-line (ORR: 42.9%) while the remaining 55 patients were treated either in 2nd (41 patients, ORR 29.3%) or 3rd line (14 patients, ORR 7.1%) after prior therapy with tyrosine- kinase inhibitors (TKI) sorafenib or lenvatinib. In patients treated in frontline, response was associated with a significant upregulation in Interferon-γ signaling (IFNγ) and genesets relatedto the antigen presentation machinery (FDR < 0.05). Through differential expression analysis we defined an 11-gene signature that was significantly associated with both major pathways (FDR < 0.01) and was capable of predicting OR as well as progression-free- (PFS) and overall survival (OS) in patients with aHCC. The signature was validated in three independent cohorts of melanoma, lung cancer, and head and neck squamous cell cancer patients were high expression was associated with a significant increase in ORR and longer PFS. In HCC, high expression of the signature was associated with a distinct profile in the immune infiltrate, where an increase in M1 macrophages (p = 0.003), CD4 memory T cell (p < 0.01) and CD4 naïve T cell-infiltration (p = 0.026) was observed. Conversely, low expression of the signature was associated with a marked upregulation of regulatory T cells (p < 0.001). No association was found, however, between either the overall immune infiltrate or CTNNB1 mutations and response. In patients that were treated with TKIs in frontline before receiving subsequent anti-PD1 therapy, the signature was no longer able to predict either OR or PFS/OS, suggesting that TKIs may reshape the microenvironment in a way that renders previously inflamed tumors no longer amenable to anti-PD1. Conclusions: Here, we define an 11-gene signature of response to anti-PD1 in first line aHCC. The signature was validated in patients with other solid cancer types, where it retained its predictive ability. Of note, the signature was not able to identify responders among HCC patients that were treated with TKIs prior to anti-PD1 therapy. The molecular changes induced by different treatment lines would, thus, require fresh biopsies prior to anti-PD1to enable biomarker-driven treatment.

Abstract Hepatocellular carcinoma (HCC) has emerged as a major cause of cancer deaths globally. The landscape of systemic therapy has recently changed, with six additional systemic agents either approved or awaiting approval for advanced stage HCC. While these agents have the potential to improve outcomes, a survival increase of 2–5 months remains poor and falls short of what has been achieved in many other solid tumor types. The roles of genomics, underlying cirrhosis, and optimal use of treatment strategies that include radiation, liver transplantation, and surgery remain unanswered. Here, we discuss new treatment opportunities, controversies, and future directions in managing HCC.

Abstract Background and Aims: Cholangiocarcinoma (CCA) is the second most common primary hepatic malignancy. Based on its anatomical location, CCA can be divided into intrahepatic (iCCA) or extrahepatic (eCCA), with differences in etiology, pathogenesis and clinical management. Few studies have focused on the molecular profiling of eCCA as a single entity, even though it accounts for the most prevalent subtype. Thus, integrative genomic analysis of eCCA would provide critical understanding for the biological traits of this tumor. Methods: 189 FFPE primary eCCA treated by resection were collected at seven international centers from 1995 to 2015. Median survival of the cohort was of 48.5mo. Whole gene-expression profiles were submitted to unsupervised clustering by NMF consensus. Clusters were characterized by Gene Set Enrichment Analysis and Ingenuity Pathway Analysis. Activation of signaling pathways (mTOR/pRPS6 and HER2) was assessed by immunohistochemistry (IHC). Molecular features were correlated with clinico-pathological data. Screening of most prevalent somatic mutations and copy number aberrations is ongoing. Results: We have identified four distinct molecular subtypes of eCCA (cophenetic coefficient=0.995). Tumors classified within the metabolic class (18.7%) were enriched by gene signatures defining bile and fatty acid metabolism (p&lt;0.001) and presented overexpression of classic hepatocyte markers, with HNF4A as the major activated upstream transcription factor (p&lt;0.001). The proliferation class (22.5%) was associated with papillary histology (p=0.004) and presented enrichment of MYC (p&lt;0.001), mTOR (p=0.018) and HER2 (p=0.024) signaling. Subclass mapping identified similarity with the iCCA proliferation subclass (p&lt;0.001). The mesenchymal class (47.3%) was associated with signatures defining epithelial-mesenchymal transition (p&lt;0.001) as well as stromal activation (p&lt;0.001), which was in accordance with TGFB1 as the major activated upstream regulator (p&lt;0.001) and the presence of higher desmoplasia at pathological analysis (p=0.046). Moreover, mesenchymal tumors were significantly associated with poor prognosis in terms of OS (33.2 vs 55.5mo, HR=2.02, p=0.022). Finally, tumors classified as immune class (11.5%) presented increased tumor-infiltrating lymphocytes (p=0.001) and were characterized by enrichment of IFNγ signaling (p&lt;0.001). Conclusions: Transcriptome-based subtyping of eCCA identifies four distinct molecular classes (metabolic, proliferation, mesenchymal and immune) that correlate with clinical-pathological characteristics. These findings enhance the opportunities for therapeutic development in this tumor with dismal prognosis and without approved molecular treatments. Citation Format: Robert Montal, Wei Qiang Leow, Carla Montironi, Laia Bassaganyas, Agrin Moeini, Daniela Sia, Roser Pinyol, Laia Cabellos, Judit Peix, Miho Maeda, Carlos Villacorta, Parissa Tabrizian, Christine Sempoux, Beatriz Minguez, Tim Pawlik, Ismail Labgaa, Lewis Roberts, Manel Sole, Maria Isabel Fiel, Swan Thung, Sasan Roayaie, Augusto Villanueva, Myron Schwartz, Josep Maria Llovet. Integrative molecular classification of extrahepatic cholangiocarcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 4618.