Thompson N. Doman

Identification of druggable cancer driver genes amplified across TCGA datasets.

The Cancer Genome Atlas (TCGA) projects have advanced our understanding of the driver mutations, genetic backgrounds, and key pathways activated across cancer types. Analysis of TCGA datasets have mostly focused on somatic mutations and translocations, with less emphasis placed on gene amplifications. Here we describe a bioinformatics screening strategy to identify putative cancer driver genes amplified across TCGA datasets. We carried out GISTIC2 analysis of TCGA datasets spanning 14 cancer subtypes and identified 461 genes that were amplified in two or more datasets. The list was narrowed to 73 cancer-associated genes with potential “druggable” properties. The majority of the genes were localized to 14 amplicons spread across the genome. To identify potential cancer driver genes, we analyzed gene copy number and mRNA expression data from individual patient samples and identified 40 putative cancer driver genes linked to diverse oncogenic processes. Oncogenic activity was further validated by siRNA/shRNA knockdown and by referencing the Project Achilles datasets. The amplified genes represented a number of gene families, including epigenetic regulators, cell cycle-associated genes, DNA damage response/repair genes, metabolic regulators, and genes linked to the Wnt, Notch, Hedgehog, JAK/STAT, NF-KB and MAPK signaling pathways. Among the 40 putative driver genes were known driver genes, such as EGFR, ERBB2 and PIK3CA. Wild-type KRAS was amplified in several cancer types, and KRAS-amplified cancer cell lines were most sensitive to KRAS shRNA, suggesting that KRAS amplification was an independent oncogenic event. A number of MAP kinase adapters were co-amplified with their receptor tyrosine kinases, such as the FGFR adapter FRS2 and the EGFR family adapter GRB7. The ubiquitin-like ligase DCUN1D1 and the histone methyltransferase NSD3 were also identified as novel putative cancer driver genes. We discuss the patient tailoring implications for existing cancer drug targets and we further discuss potential novel opportunities for drug discovery efforts.

Timing of CSF-1/CSF-1R signaling blockade is critical to improving responses to CTLA-4 based immunotherapy

ABSTRACT Colony stimulating factor-1 (CSF-1) is produced by a variety of cancers and recruits myeloid cells that suppress antitumor immunity, including myeloid-derived suppressor cells (MDSCs.) Here, we show that both CSF-1 and its receptor (CSF-1R) are frequently expressed in tumors from cancer patients, and that this expression correlates with tumor-infiltration of MDSCs. Furthermore, we demonstrate that these tumor-infiltrating MDSCs are highly immunosuppressive but can be reprogrammed toward an antitumor phenotype in vitro upon CSF-1/CSF-1R signaling blockade. Supporting these findings, we show that inhibition of CSF-1/CSF-1R signaling using an anti-CSF-1R antibody can regulate both the number and the function of MDSCs in murine tumors in vivo. We further find that treatment with anti-CSF-1R antibody induces antitumor T-cell responses and tumor regression in multiple tumor models when combined with CTLA-4 blockade therapy. However, this occurs only when administered after or concurrent with CTLA-4 blockade, indicating that timing of each therapeutic intervention is critical for optimal antitumor responses. Importantly, MDSCs present within murine tumors after CTLA-4 blockade showed increased expression of CSF-1R and were capable of suppressing T cell proliferation, and CSF-1/CSF-1R expression in the human tumors was not reduced after treatment with CTLA-4 blockade immunotherapy. Taken together, our findings suggest that CSF-1R-expressing MDSCs can be targeted to modulate the tumor microenvironment and that timing of CSF-1/CSF-1R signaling blockade is critical to improving responses to checkpoint based immunotherapy. Significance: Infiltration by immunosuppressive myeloid cells contributes to tumor immune escape and can render patients resistant or less responsive to therapeutic intervention with checkpoint blocking antibodies. Our data demonstrate that blocking CSF-1/CSF-1R signaling using a monoclonal antibody directed to CSF-1R can regulate both the number and function of tumor-infiltrating immunosuppressive myeloid cells. In addition, our findings suggest that reprogramming myeloid responses may be a key in effectively enhancing cancer immunotherapy, offering several new potential combination therapies for future clinical testing. More importantly for clinical trial design, the timing of these interventions is critical to achieving improved tumor protection.

Stromal-Based Signatures for the Classification of Gastric Cancer

Treatment of metastatic gastric cancer typically involves chemotherapy and monoclonal antibodies targeting HER2 (ERBB2) and VEGFR2 (KDR). However, reliable methods to identify patients who would benefit most from a combination of treatment modalities targeting the tumor stroma, including new immunotherapy approaches, are still lacking. Therefore, we integrated a mouse model of stromal activation and gastric cancer genomic information to identify gene expression signatures that may inform treatment strategies. We generated a mouse model in which VEGF-A is expressed via adenovirus, enabling a stromal response marked by immune infiltration and angiogenesis at the injection site, and identified distinct stromal gene expression signatures. With these data, we designed multiplexed IHC assays that were applied to human primary gastric tumors and classified each tumor to a dominant stromal phenotype representative of the vascular and immune diversity found in gastric cancer. We also refined the stromal gene signatures and explored their relation to the dominant patient phenotypes identified by recent large-scale studies of gastric cancer genomics (The Cancer Genome Atlas and Asian Cancer Research Group), revealing four distinct stromal phenotypes. Collectively, these findings suggest that a genomics-based systems approach focused on the tumor stroma can be used to discover putative predictive biomarkers of treatment response, especially to antiangiogenesis agents and immunotherapy, thus offering an opportunity to improve patient stratification. Cancer Res; 76(9); 2573-86. ©2016 AACR.

Abstract 583: The CDK4/6 inhibitor abemaciclib induces synergistic immune activation and antitumor efficacy in combination with PD-L1 blockade

Targeting cyclin dependent kinases 4 and 6 (CDK4/6) with inhibitors such as abemaciclib has shown promise in early and late phase clinical trials in both breast cancer and NSCLC. While there is evidence that patients benefit from single-agent abemaciclib, combination strategies leveraging this compound together with immunotherapy are of interest for the treatment of these and other cancers. Consequently, it is important to understand if and how a cell cycle inhibitor can be combined with immunotherapy. However, because most preclinical studies have been performed using xenograft tumors in immune-compromised mice, the potential immunomodulatory effects of abemaciclib have not been adequately ascertained. To investigate the immune combinatorial potential of abemaciclib, we studied the effects of treatment alone and in combination with checkpoint immunotherapy in a murine syngeneic tumor model sensitive to abemaciclib using immuno-competent mice. Abemaciclib monotherapy of established murine CT26 tumors, which harbor KRAS G12C mutation and CDKN2A deletion, caused a dose-dependent delay in tumor growth. Surprisingly, gene expression analysis showed that treatment was associated with an increase in intra-tumor immune inflammation without major alteration in immune subset frequencies. Testing of various dosing regimens in this preclinical model found that monotherapy abemaciclib pretreatment followed by combination with anti-PD-L1 antibody therapy, induced an enhanced anti-tumor response compared to abemaciclib and anti-PD-L1 monotherapies. Optimal combination therapy exhibited superior anti-tumor efficacy, resulting in complete tumor regression (CR) in 50-60% of mice in a setting where anti-PD-L1 monotherapy showed little or no efficacy (0% CRs). Mice which maintained CRs after cessation of combination therapy were able to resist later CT26 rechallenge, demonstrating that abemaciclib in combination with anti-PD-L1 enabled the generation of an immunologic memory. Examination of intra-tumor gene expression during treatment found that combination therapy further amplified the immune/T cell activation signature compared to both monotherapies. Intra-tumoral suppression of cell cycle genes, which are indicative of inhibition of CDK4/6, was also greater during the combination therapy, suggesting that the effects anti-PD-L1 therapy may augment the cell cycle arrest induced by abemaciclib. Although it was uncertain if agents that inhibit cell proliferation could be combined with immunotherapy, these preclinical results demonstrate that it is possible to combine CDK4/6 inhibition by abemaciclib with checkpoint immunotherapy to improve tumor efficacy. The synergistic responses observed in terms of tumor efficacy, immune activation, and cell cycle control provides support for the clinical investigation of this combination. Citation Format: Jack Dempsey, Lysiane Huber, Amelie Forest, Jennifer R. Stephens, Thompson N. Doman, Jason Manro, Andrew Capen, Robert S. Flack, Gregory P. Donoho, Sean Buchanan, Alfonso De Dios, Kyla Driscoll, Michael Kalos, Ruslan Novosiadly, Richard P. Beckmann, David A. Schaer. The CDK4/6 inhibitor abemaciclib induces synergistic immune activation and antitumor efficacy in combination with PD-L1 blockade [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 583. doi:10.1158/1538-7445.AM2017-583

Abstract 5590: Combination of an oncokinase inhibitor merestinib with anti-PD-L1 results in enhanced immune mediated antitumor activity in CT26 murine tumor model

The combination of tumor targeted therapeutics with PD-L1 checkpoint blockade is being explored as a method to increase the clinical benefits of immunotherapy, and expand response to additional cancer types. Merestinib (Mer) is a kinase inhibitor targeting several oncokinases1 (including MET, MST1R, AXL, MERTK, and MKNK1/2) that can potentially modulate immune function, angiogenesis, as well as target the tumor 1-5. To determine the combinatorial potential with immunotherapy, the effects of Mer were evaluated in vitro on human T cells, PBMCs and murine tumor lines CT26 colon carcinoma (harbors KRASmt G12D expresses low Met/no p-Met/high Axl/p-Axl) and B16F10 melanoma (expressing high Met/pMet/peIF4E). Additionally, the anti-tumor effect of Mer was tested in vivo on established CT26 and B16F10 tumors compared to MET specific TKIs (savolitinib, PF4217903) alone or in combination with PD-L1 antibody (Ab) blockade. In vitro, Mer showed no significant effects on either T cells or PBMCs, but was able to inhibit downstream signaling in both CT26 and B16F10 showing activity on murine tumor cell lines. In vivo, daily Mer monotherapy (6, 12 or 24 mg/kg) showed significant anti-tumor effect at all doses in both CT26 and B16F10, that was not seen with either savolitinib or PF4217903. Concurrent combination of Mer (12 mg/kg) and anti-PD-L1 Ab (0.5 mg qw) in CT26 was found to have anti-tumor activity that was synergistic as compared to each single agent alone. While the effect of Mer monotherapy was lost when treatment ended, tumors continued to regress in the combination group even upon cessation of therapy. The combination was well tolerated and resulted in 90% complete responders compared to 30% with anti-PD-L1 Ab alone, 35 days after completing dosing. To test the ability to generate immunologic memory, complete responders were re-challenged with CT26 cells on the contralateral side. All mice in the combination group resisted re-challenge, showing that Mer/PD-L1 Ab combination was triggering immunologic memory. Although there was no significant change in intra-tumor immune cell populations between groups, combination therapy showed an enhanced and unique intra-tumor immune activation/inflammation gene expression signature compared to PD-L1 Ab monotherapy. The enhanced immune activation of the combination therapy, leading to synergistic anti-tumor efficacy, demonstrates that merestinib has the potential to augment immunotherapy while targeting the tumor directly. This preclinical data provides the rationale for the clinical investigation of merestinib in combination with checkpoint therapies targeting the PD-L1/PD1 axis (NCT02791334). 1 - Yan et al. Invest New Drugs 2013;31:833-44 2 - Balan et al. J Biol Chem 2015;290:8110-20 3 - Eyob et al. Cancer Discov 2013;3:751-60 4 - Lemke G. CSH Persp Biol 2013;5:a009076 5 - Piccirillo et al. Nat Immunol 2014;15:503-11 Citation Format: Sau-Chi Betty Yan, Victoria L. Peek, Jennifer R. Stephens, Um L. Um, Amaladas Nelusha, Colleen A. Burns, Kelly M. Credille, Thompson N. Doman, Scott W. Eastman, Beverly L. Falcon, Gerald E. Hall, Philip W. Iversen, Bruce W. Konicek, Jason R. Manro, Any T. Pappas, Julie A. Stewart, Michael B. Topper, Swee-Seong Wong, Michael Kalos, Ruslan D. Novosiadly, Richard A. Walgren, David Schaer. Combination of an oncokinase inhibitor merestinib with anti-PD-L1 results in enhanced immune mediated antitumor activity in CT26 murine tumor model [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 5590. doi:10.1158/1538-7445.AM2017-5590

Abstract 817: Genomic evolution landscape of patient tumor derived xenograft of gastric cancer.

Proceedings: AACR 104th Annual Meeting 2013; Apr 6-10, 2013; Washington, DC Patient-derived xenograft (PDX) models have emerged as key model systems to understand the efficacy of anti-cancer agents. PDX systems have demonstrated superiority over cell lines with regards to higher histological resemblance to primary tumor, presence of stroma and also in mimicking response to therapeutic agents. However, the genomic evolution landscape of model establishment is not a well studied topic. In order to do that, we systematically collected materials from the first three passages of xenografts derived from eight gastric cancer patients from Seoul National University, Korea from 2008-2011. We subsequently generated comprehensive genomic profiles of the first three passages, parent primary tumor, and matched normal tissues for the eight patients. The genomic profiling data included whole-exome sequencing data (Agilent exome capture, paired-end sequencing on Illumina HiSeq 2000), mRNA expression (Affymetrix U133 Plus2.0), copy number data (Affymetrix SNP6), miRNA expression (Agilent miRNA array v16.0) and DNA methylation data (Illumina HumanMethylation27). The analysis is focused on two types of events: a) Cancer-related genomic changes derived from normal vs. tumor comparison, and their subsequent assessment in early passages; b) Passage-specific genomic changes derived from tumor vs. passages comparison. A further refinement of passage-specific genomic changes is done to differentiate ‘true’ passage-specific events from the ones that appear due to the difference in tumor purity that is lower in primary tumor due to the normal contamination. Overall, we describe the genomic landscape of evolution along xenograft establishment in gastric cancer and provide a comprehensive picture of genetic and genomic similarities (and differences) of xenografts to the primary tumor. This analysis will help us to better interpret the in vivo results emanating from experiments using xenografts and to translate the findings appropriately to the clinic. Citation Format: Kun Yu, Swee Seong Wong, Jason C. Ting, Thompson N. Doman, Yong Yue, Amit aggarwal, Gregory P. Donoho, Rebekka Krumbach, Heiner H. Feibig, Seong-Ho kong, Woo-ho Kim, Han-kwang Yang, Christoph Reinhard. Genomic evolution landscape of patient tumor derived xenograft of gastric cancer. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 817. doi:10.1158/1538-7445.AM2013-817 Note: This abstract was not presented at the AACR Annual Meeting 2013 because the presenter was unable to attend.

Abstract 2993: Comparison of copy number variation using exome sequencing and affymetrix SNP6.0 genotype array in human cancer cell lines

Proceedings: AACR 103rd Annual Meeting 2012‐‐ Mar 31‐Apr 4, 2012; Chicago, IL Whole exome sequencing has been used successfully as a cost effective and unbiased method in the detection of single nucleotide variants (SNVs) in the coding regions of the human genome. Its application in identifying another class of genetic variability - copy number variation (CNV) - has been hindered by numerous factors including inconsistent exome capture probe specificity and efficiency for the target regions, discontinuous targets, and variable exon lengths etc. In the current work, we applied ExomeCNV, a depth-of-coverage based statistical analysis method developed by Sathirapongsauti et. al., to exome NGS data from a larger collection of cancer cell lines. The exomes were captured using Agilent SureSelect Human All Exon Kit and sequenced on the average depth of 70x using the Illumina HiSeq platform. To control for sequence coverage biases introduced by the capture technology, CNVs for each cancer cell line are presented as a ratio to a baseline control constructed using pooled samples processed in the same manner. Genotyping arrays are standard methods of choice for CNV discovery in cancer cell lines from the Cancer Genome Project by the Sanger Institute and the Cancer Cell Line Encyclopedia project by the Broad Institute. We obtained Affymetrix SNP6.0 genotype data for the cancer cell lines from these two sources. CNVs detected from exome sequencing were compared with those discovered from genotyping arrays in the same set of cancer cell lines. We present here a comprehensive comparison of the cancer cell line gene copy number determination from exome sequencing and genotyping methods. Our results indicate that, with sufficient exome coverage and properly constructed controls, copy number detection using exome data is a valuable alternative to genotype based approach. 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 2993. doi:1538-7445.AM2012-2993

Abstract 5109: Identical cancer cell lines from Sanger & Broad CCLE programs sometimes differ

Proceedings: AACR 103rd Annual Meeting 2012‐‐ Mar 31‐Apr 4, 2012; Chicago, IL The Sanger Institute in the UK has an ongoing initiative termed the “Cancer Genome Project” to systematically characterize the genetics and genomics of 770 cancer cell lines. Similarly, the Broad Institute in the US collaborates on the “Cancer Cell Line Encyclopedia” or CCLE project, entailing the eventual characterization of approximately 1000 cancer cell lines. At present, there are over 400 cell lines shared by these two initiatives. As part of a number of computational efforts in cancer biology we have used data from these two programs and have observed some unexpected differences in cell lines at the DNA and/or transcript level as well as some phenotypic differences, and we present here an analysis of these results including implications to the use of cancer cell lines in drug discovery and the larger question of genomic stability in cancer. 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 5109. doi:1538-7445.AM2012-5109