Abstract LB005: Identification of novel targets for MYC-driven hepatocellular carcinoma via transomics
Authors: Simon P. Fricker, Christopher J. Nicholson, Samuel J. Roth, Arudhir Singh, Caitlin Brown, Jon Hu, Petronela Buiga, Vishnu P. Kanakaveti, Anja Deutzmann, Dean Felsher, Samantha D. Strasser
Journal: Cancer Research (2024)

Abstract Hepatocellular carcinoma (HCC) is an aggressive tumor, and treatment options for patients with unresectable HCC are limited to targeted therapies and immunotherapy. The activation and dysregulation of MYC have been implicated in multiple cancers, including HCC, where approximately 30% of human HCC samples show MYC gene amplification. However, it is challenging to target MYC directly. Therefore, we applied a novel approach to circumvent targeting MYC directly by leveraging Pepper’s proprietary transomic analysis platform, COMPASS, to identify novel targets that are predicted to mimic the effect of turning MYC off. Specifically, COMPASS unlocks functional drivers of disease to identify novel drug targets. To study the role of MYC in tumor biology, we utilize an HCC cell line with tunable MYC expression. We generate genomic, transcriptomic, proteomic, and phosphoproteomic data from samples with MYC-on and MYC-off and compare via COMPASS to identify novel targets that mimic turning MYC off. The MYC-conditional HCC cell line (EC4) allows the regulation of MYC expression via the tetracycline regulatory (Tet-Off) system. Four omic datasets were collected from each sample: genomics (next-generation sequencing, NGS), transcriptomics (NGS), proteomics (mass spectrometry), and phosphoproteomics (mass spectrometry). We employed the COMPASS target prioritization algorithm to identify and rank novel targets that mimic turning MYC off. Targets were then filtered to select those with an available pharmacological tool compound (PTC). The PTCs were used to evaluate the targets in the Huh-7 xenograft model of HCC. All targets were kinases or related to kinase activity and pathways. All PTCs inhibited tumor growth from 18.1-78.3%. One multi-tyrosine kinase inhibitor resulted in maximum tumor growth inhibition, resulting in stasis of tumor growth and increased survival compared with control vehicle-treated mice. We have previously shown how the COMPASS transomics analysis approach can identify novel drug targets for drug resistant EGFRm NSCLC. The data presented here on MYC-driven HCC further validates this approach for novel target identification. Ongoing work will investigate novel targets using gene silencing, as PTCs were unavailable for many of these novel high-ranked targets identified in this study. Further validation studies are ongoing against other difficult-to-treat MYC-driven cancers to identify novel clinical targets and drug candidates to circumvent the MYC pathway. Citation Format: Simon P. Fricker, Christopher J. Nicholson, Samuel J. Roth, Arudhir Singh, Caitlin Brown, Jon Hu, Petronela Buiga, Vishnu P. Kanakaveti, Anja Deutzmann, Dean Felsher, Samantha D. Strasser. Identification of novel targets for MYC-driven hepatocellular carcinoma via transomics [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr LB005.