Han, Haiyong

Abstract Lessons learned Intravenous paricalcitol did not improve the efficacy of pembrolizumab, likely related to the short half-life. Background Immunotherapy has limited benefit in the treatment of advanced pancreatic cancer with the tumor microenvironment playing a key role in immune resistance. In preclinical studies, vitamin D receptor (VDR) agonists have been shown to sensitize pancreatic tumors to PD-1 blockade. Methods This was a randomized, double-blinded, placebo-controlled, phase II trial to evaluate pembrolizumab with or without paricalcitol as maintenance therapy for patients with metastatic pancreatic ductal adenocarcinoma (PDAC). Participants were ≥18 years; histologically or cytologically confirmed metastatic PDAC showing no disease progression after frontline systemic therapy, and achieving maximal cytoreduction (eg, with no further antitumor effect), Eastern Cooperative Oncology Group (ECOG) status of 0 or 1; adequate organ function. Study treatment included: pembrolizumab 200 mg IV every 3 weeks and either paricalcitol 25 mcg IV 3 times per week or placebo. The primary objective was to evaluate 6-month progression free survival (PFS). Secondary objectives include evaluating the toxicity of the combination and overall survival (OS). Results There was no significant difference in 6-month PFS, median PFS, median OS, nor treatment-related AEs between the 2 arms. Conclusions and relevance Paricalcitol did not improve the efficacy of pembrolizumab likely related to its short half-life of only 5-7 hours. Microbiome analysis revealed significant difference between long-term (>12 weeks) and short-term (<12 weeks) survival groups across treatment arms. Modulation of the tumor microenvironment will likely require more sustained VDR activity. Trial Registration Clinicaltrials.gov, ID: NCT03331562.

Abstract Triptolide, which was initially extracted from a Chinese medicinal herb, demonstrates potent antitumor, anti-inflammatory, and immunosuppressive properties, yet it is clinically limited due to its poor solubility, bioavailability, and toxicity. Minnelide, a water-soluble analog of triptolide, has potent antiproliferative activity. It is currently in Phase I/II clinical trials for Acute Myeloid Leukemia (AML) and 7 solid tumor indications, including advanced gastrointestinal tumors, pancreatic cancer, and colorectal cancer. To overcome the potential drug resistance and to improve the drug potency as well as to minimize the drug toxicity, we conducted a high throughput screening (HTS) for drug synergy, combining Minnelide with compounds from the LOPAC and/or Prestwick libraries in 3 different cancer cell lines: BxPC3 (pancreatic), HT29 (colon) and SNU5 (gastric). LOPAC and Prestwick libraries consist of drugs approved by FDA and/or drugs that have reached clinical trial stages, representing 2,274 unique compounds in total. After quality control evaluation and data normalization, hits were selected if greater than 20% inhibition was achieved when combined compared with Minnelide alone. A total of 43, 54, and 47 hits were identified for each cell line, representing an average hit rate of 2.1%. We further prioritized the hits by selecting those that were common in two or more cell lines, which resulted in 9 compounds from Prestwick library and 20 compounds from LOPAC library (Harmane is in common between the two libraries). Only 17 compounds were available for purchase for hits confirmation, which was conducted in a similar manner as in primary HTS, except that drugs were tested in a dose-dependent manner instead of a single concentration done in HTS, a duplicated biological run was performed, and a total of 9 cell lines were screened, with 3 cell lines for each tumor type (pancreatic, colon and gastric). IC50 and Combination Index (CI) values for each drug combination were calculated for each cell line. A fold change of 2 or more for the IC50 values and CI value < 1.0 were used for hit selection. In general, colon lines had the most synergistic combinations and gastric had the least. A total of 15 drug candidates were confirmed to have synergistic effect, representing a confirmation rate of 88%, among which 12 drugs demonstrated synergy in >50% of the cell lines tested, with Harmane and Harmine demonstrating synergy in all 9 cell lines tested. In addition, CGS-15943, Amiloride, Naphthalimide, and Idazoxan indicated good synergy with Minnelide in at least 6 out of 9 cell lines. Interestingly, Phenamil, an irreversible inhibitor of amiloride-sensitive Na+ channels, showed synergy in all cell lines tested for pancreatic and colon cancers, but not in gastric cancer cell lines. Overall, our study shed light on potential drug combinations with Minnlide for clinical use. Citation Format: Nanyun Tang, Chris Sereduk, Ashok Saluja, Mohana Velagapudi, Haiyong Han, Daniel D Von Hoff, Hongwei Holly Yin. Drug combination screen to identify novel synergy with Minnelide [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference on Molecular Targets and Cancer Therapeutics; 2019 Oct 26-30; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2019;18(12 Suppl):Abstract nr A142. doi:10.1158/1535-7163.TARG-19-A142

10572 Background: Adrenocortical carcinoma (ACC) is a rare and lethal cancer with an average incidence of 1 in 1.4 million. Response to current standard therapy including mitotane is approximately 22%. Herein we use gene expression profiling to identify novel targets for therapeutic intervention. Methods: The transcriptomes of 29 ACC tumors and 4 normal adrenal glands were profiled on Affymetrix Human Genome and Agilent 22K element expression arrays in order to identify genes that could represent potential therapeutic targets. Agents known to inhibit the selected targets were tested in comparison with mitotane in two ACC cell lines (H295R and SW-13) in vitro and are currently being tested in a Scid mouse xenograft system. Results: Expression of numerous kinesin family members is dysregulated within the ACC tumor population. Of interest in the ACC cells EG5 (KIF11, KSP), a kinesin important for mitotic spindle formation, is up-regulated 5.81+ 4.42 (μ+SD) and 6.48 + 0.99 fold on the Agilent and Affymetrix platforms respectively. In addition, SPARC, an albumin binding matrix associated protein is up-regulated in ACC tumors by 3.69 + 2.37 (μ+SD) and 1.56 + 0.44 on the two platforms. The anti-microtubular drugs paclitaxel and albumin bound paclitaxel (abraxane) exhibited in vitro inhibition of H295R and SW-13 cells at IC50 concentrations of 0.33 μM and 0.0078 μM for paclitaxel and 0.35 μM and 0.0087 μM for Abraxane compared to mitotane concentrations of 15.9 μM and 46.4 μM. Treatment effects of monastrol, paclitaxel, and Abraxane are currently being tested in xenograft murine models. Testing of the EG5 inhibitor S-trityl-L- cysteine is ongoing in the in vitro system. Conclusions: KIF11 inhibitors have been proposed in the treatment of cancer. These compounds may offer better anti-mitotic activity than other tubulin interacting agents with less neurotoxic side effects. Based on biological insight garnered through expression profiling of ACC tumors, the current ongoing research is investigating the use of abraxane and EG5 inhibitors in the in vitro and in vivo treatment of ACC. No significant financial relationships to disclose.

Abstract Purpose: Pancreatic adenocarcinoma is among the most lethal forms of all malignancies. While significant research has implicated multiple genes in disease pathogenesis, identification of therapeutic leads has been difficult. The majority of currently available therapies provide only marginal benefit. To address this issue, our goal was to assess global somatic events across multiple pancreatic tumors by using next-generation sequencing technologies (NGS). Experimental Design: We performed whole genome sequencing (WGS) on paired tumor and normal samples from 3 pancreatic adenocarcinoma patients. Additionally, we performed whole transcriptome sequencing (WTS) on 2 of these patients’ tumors for which tumor RNA was available. Results: We generated on average 132 billion mappable bases across all patients using WGS, and identified 140 somatic coding events including point mutations, insertion/deletions, and chromosomal copy number variants. Data from WGS and WTS were integrated and analyzed to identify the most heavily affected pancreatic cancer pathways across all patients. The KRAS signaling pathway was identified as the most significant map. Unbiased global pathway analysis was also performed to identify processes that may be impacted. Consistent with the previous analysis, the most significant pathway from this analysis is also KRAS signaling. This integrated analysis specifically identifies heavily affected pathways in pancreatic cancer and pinpoints genes and processes that may be considered as targets for more effective therapies. Conclusions: While sequencing of additional patients is necessary to strengthen selection of key pathways, we demonstrate the utility of using NGS to understand the processes driving pancreatic adenocarcinoma so that standardized treatments for patients may be improved. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 5104. doi:1538-7445.AM2012-5104

Abstract Many cancer researchers are currently generating heterogeneous genomic data sets containing mRNA expression, array based comparative genomic hybridization (aCGH), and other information from multiple patients. In the near future, data sets will likely include proteomics, methylomics, and high throughput sequencing data. Analytical tools that integrate these different data types to prioritize genes for further study have lagged, however. With this in mind, we have implemented a standalone software application that integrates CGH and mRNA expression profiling data. This application implements several different methods to generate ranked lists of genes and genomic regions based on breakpoint frequency, aberration frequency, and the impact of copy number changes on mRNA expression. The software is Java GUI based, with abstracted object models that can be extended as new genomic data types and annotations become available. We used this application to analyze aCGH datasets generated from 22 primary pancreatic tumor xenografts and mRNA expression datasets from 16 of the 22 samples. Genes which were located near a putative breakpoint and whose expression levels were high in a majority of the xenografts samples were considered putative targets. Preliminary IHC analysis of pancreas primary tumor tissue microarrays confirms one of these putative targets, Chemokine (CXC motif) Ligand 5 (CXCL5). By allowing cancer researchers to correlate genomic aberrations with expression data, we believe that this application will generate more meaningful targets for further biomarker identification and/or drug target discovery. Citation Information: Mol Cancer Ther 2009;8(12 Suppl):A30.

Abstract Hepatocellular carcinoma (HCC), the primary malignancy of the liver, is the fourth leading cause of cancer deaths worldwide, with a 5-year survival rate of∼10%. Recently, a new multikinase inhibitor, sorafenib (Nexavar®), which mainly targets the VEGFR and the Raf/Mek/Erk pathways, has shown limited response rate and modest survival benefits in patients with advanced stage HCC. We hypothesize that there exist genetic alterations or contexts of vulnerability (COV) in cancer cells that dictate sensitivity to sorafenib. In order to identify specific COVs and obtain an increased understanding of drug's mechanism of action, we performed a custom chemosensitization high-throughput siRNA screen. We developed and optimized a sorafenib chemosensitization assay in 3 HCC cell lines, one of which, Hep3B, a AFP and HBsAg positive cell line, was selected for primary RNAi screening with a kinase siRNA library, which covers 700 genes (4 siRNA sequences per gene). Primary screen data was rigorously evaluated for multiple quality control metrics (transfection efficiency, CV values, accessing plate-to-plate and set-to-set variation) and found to exceed all expected performance parameters. The top sorefenib sensitizing hits were identified and supplemented with additional genes selected based on related biological concepts. This sensitization effect of the genes was further tested and compared in two additional HCC cell lines (HepG2 and PLC). Additionally, based on the sensitizer list from the RNAi screening, 11 chemical compounds were tested for synergistic combination with sorafenib. Notable synergism with sorafenib was observed in the combination with erlotinib or doxorubicin. More strikingly, we also observed synergy between sorafenib and multiple MEK inhibitors as well as gemcitabine in the selected HCC cell lines. Our data suggest that MEK inhibitors might improve the efficacy of sorafenib in HCC treatment in the clinic. Further mechanistic studies are being conducted for this particular combination. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr LB-285.