Phil Chapman

Clinical activity of ipilimumab for metastatic uveal melanoma: a retrospective review of the Dana-Farber Cancer Institute, Massachusetts General Hospital, Memorial Sloan-Kettering Cancer Center, and University Hospital of Lausanne experience.

Uveal melanoma exhibits a high incidence of metastases; and, to date, there is no systemic therapy that clearly improves outcomes. The anticytotoxic T‐lymphocyte–associated protein 4 (anti‐CTLA‐4) antibody ipilimumab is a standard of care for metastatic melanoma; however, the clinical activity of CTLA‐4 inhibition in patients with metastatic uveal melanoma is poorly defined.

Discrepancies in Cancer Genomic Sequencing Highlight Opportunities for Driver Mutation Discovery

Cancer genome sequencing is being used at an increasing rate to identify actionable driver mutations that can inform therapeutic intervention strategies. A comparison of two of the most prominent cancer genome sequencing databases from different institutes (Cancer Cell Line Encyclopedia and Catalogue of Somatic Mutations in Cancer) revealed marked discrepancies in the detection of missense mutations in identical cell lines (57.38% conformity). The main reason for this discrepancy is inadequate sequencing of GC-rich areas of the exome. We have therefore mapped over 400 regions of consistent inadequate sequencing (cold-spots) in known cancer-causing genes and kinases, in 368 of which neither institute finds mutations. We demonstrate, using a newly identified PAK4 mutation as proof of principle, that specific targeting and sequencing of these GC-rich cold-spot regions can lead to the identification of novel driver mutations in known tumor suppressors and oncogenes. We highlight that cross-referencing between genomic databases is required to comprehensively assess genomic alterations in commonly used cell lines and that there are still significant opportunities to identify novel drivers of tumorigenesis in poorly sequenced areas of the exome. Finally, we assess other reasons for the observed discrepancy, such as variations in dbSNP filtering and the acquisition/loss of mutations, to give explanations as to why there is a discrepancy in pharmacogenomic studies, given recent concerns with poor reproducibility of data.

Recurrent MLK4 Loss-of-Function Mutations Suppress JNK Signaling to Promote Colon Tumorigenesis.

MLK4 is a member of the mixed-lineage family of kinases that regulate the JNK, p38, and ERK kinase signaling pathways. MLK4 mutations have been identified in various human cancers, including frequently in colorectal cancer, where their function and pathobiological importance have been uncertain. In this study, we assessed the functional consequences of MLK4 mutations in colon tumorigenesis. Biochemical data indicated that a majority of MLK4 mutations are loss-of-function (LOF) mutations that can exert dominant-negative effects. In seeking to understand the abrogated activity of these mutants, we elucidated a new MLK4 catalytic domain structure. To determine whether MLK4 is required to maintain tumorigenic phenotypes, we reconstituted its signaling axis in colon cancer cells harboring MLK4-inactivating mutations. We found that restoring MLK4 activity reduced cell viability, proliferation, and colony formation in vitro and delayed tumor growth in vivo. Mechanistic investigations established that restoring the function of MLK4 selectively induced the JNK pathway and its downstream targets, cJUN, ATF3, and the cyclin-dependent kinase inhibitors CDKN1A and CDKN2B. Our work indicates that MLK4 is a novel tumor-suppressing kinase harboring frequent LOF mutations that lead to diminished signaling in the JNK pathway and enhanced proliferation in colon cancer.

Abstract B05: Discovery, validation and targeting of novel synthetic lethal interactions in academic drug discovery

The identification of novel oncology targets for small molecule drug discovery is becoming increasingly challenging despite 10-15% of the human genome estimated to be druggable. The literature is an important source of novel targets; however, several recent reports by pharma and academia have indicated that approximately 11-55% of published studies are irreproducible. Moreover, oncology drug attrition rates are extremely poor, with 66% of candidates in Phase III clinical trials not achieving approval. This is reflected by increasing failure rates of drug development projects in Phase II, from 72% in 2006-2007 to 82% in 2008-2009. These failures have been attributed to lack of efficacy, thus highlighting the critical requirement for new novel drug targets that demonstrate clear promise of clinical efficacy through predictive in vitro and in vivo models. Furthermore, it is important to prioritize and pursue targets that are most likely to bind a small molecule inhibitor with high infinity. We sought to utilize the wealth of unvalidated genomic data now available in the public domain by developing a bioinformatic pipeline founded on the collateral vulnerability hypothesis, which is based on the concept of synthetic lethality and exploits the co-occurrence of deletions of genes flanking tumor suppressors that are lost during the course of tumor evolution. We can then target the paralogs of these genes if together they belong to gene families with essential predicted function, thereby exploiting a vulnerability of the cancer cells with these losses. Here, we describe our industry-standard approaches to the target validation of the output generated from lung adenocarcinoma data, and present the validation and de-validation of several novel targets predicted by the collateral vulnerability pipeline, including SMARCA2, KMT2C, and SETD1B. Citation Format: H. Nikki March, Phil Chapman, Elizabeth Blaikley, Catherine A. Eberlein, Mark Cockerill, Samantha Hitchin, Ian D. Waddell, Donald Ogilvie. Discovery, validation and targeting of novel synthetic lethal interactions in academic drug discovery [abstract]. In: Proceedings of the AACR Precision Medicine Series: Opportunities and Challenges of Exploiting Synthetic Lethality in Cancer; Jan 4-7, 2017; San Diego, CA. Philadelphia (PA): AACR; Mol Cancer Ther 2017;16(10 Suppl):Abstract nr B05.

Survival of head and neck cancer cells relies upon LZK Kinase-mediated stabilization of mutant p53

Head and neck squamous cell carcinoma (HNSCC) includes epithelial cancers of the oral and nasal cavity, larynx, and pharynx and accounts for ∼350,000 deaths per year worldwide. Smoking-related HNSCC is associated with few targetable mutations but is defined by frequent copy-number alteration, the most common of which is gain at 3q. Critical 3q target genes have not been conclusively determined for HNSCC. Here, we present data indicating that MAP3K13 (encoding LZK) is an amplified driver gene in HNSCC. Copy-number gain at 3q resulted in increased MAP3K13 mRNA in HNSCC tumor samples and cell lines. Silencing LZK reduced cell viability and proliferation of HNSCC cells with 3q gain but not control cell lines. Inducible silencing of LZK caused near-complete loss of colony-forming ability in cells harboring 3q gain. These results were validated in vivo by evidence that LZK silencing was sufficient to reduce tumor growth in a xenograft model of HNSCC. Our results establish LZK as critical for maintaining expression of mutant stabilized p53. Cancer Res; 77(18); 4961-72. ©2017 AACR.

Abstract A176: RET inhibition: Development of novel compounds and a personalized medicine strategy in lung adenocarcinoma

Background:RET is a receptor tyrosine kinase (RTK) and forms part of a macromolecular receptor complex containing dimerised RET receptor, two co-receptors and a bound ligand. Signalling networks downstream of RET play an important role in regulating cell survival, differentiation, proliferation, migration and chemotaxis. Activating mutations in RET (e.g. C634W and M918T) are known drivers in medullary thyroid carcinomas (MTC). More recently, oncogenic RET fusions (e.g. CCDC6-RET and KIF5B-RET) have been identified in 1-2% of lung adenocarcinoma patients. We are currently developing novel, selective inhibitors of RET, and at the same time, investigating a number of biomarker approaches for the stratification of RET fusion-positive lung cancer patients who might benefit from such therapy. Methods: We have undertaken collaborative studies using established techniques including immunohistochemistry (IHC) and FISH (DNA break apart and RNA). In addition, we have investigated hybrid capture DNA sequencing of both biopsy material and circulating tumour DNA in the blood. Here we, compare and contrast the benefits of each biomarker assay evaluated and consider how these approaches could be translated for use in Phase I clinical trials at The Christie. Conclusion: Our data supports the successful implementation of predictive biomarkers to identify patients who might benefit from treatment with selective RET inhibitors. Acknowledgements:This work was funded by Cancer Research UK (Grant numbers C480/A1141 and C5759/A17098). Citation Format: Mandy Watson, Helen Small, Phil Chapman, Gemma Hopkins, Habiba Begum, Ian D. Waddell, Garry Ashton, Caron Abbey, Jade Harris, Mahmood Ayub, Sumitra Mohan, Dominic Rothwell, Ged Brady, Caroline Dive, Allan Jordan, Donald Ogilvie. RET inhibition: Development of novel compounds and a personalized medicine strategy in lung adenocarcinoma. [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference: Molecular Targets and Cancer Therapeutics; 2015 Nov 5-9; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2015;14(12 Suppl 2):Abstract nr A176.

Abstract 5429: Inhibition of SMARCA2: a novel target for SMARCA4-deficient lung adenocarcinoma

Aim: With the decreasing costs of genomics technologies, ever more data is being put into the public domain. Scientific papers only highlight a fraction of the information in the data, consequently further mining can answer drug discovery relevant questions and identify new targets. In this work we developed a bioinformatics pipeline, based on the collateral vulnerability hypothesis, to integrate several sources of public data and identify novel targets to form the basis of a new drug discovery project. Methods: Genomic data from TCGA was integrated with phenotypic data extracted from Mousemine, Flymine and Wormbase to identify loss-of-function aberrations in genes from families with essential predicted function. Follow-up experiments investigated the effect of siRNA knockdown of paralogs of genes of interest on various cellular phenotypes including proliferation, survival and senescence in gene deficient cell lines. A fragment screen was used to assess drugability of genes of interest. Results: The pipeline has been applied to several cancer types, and as a result a drug discovery project has been initiated against SMARCA2 in SMARCA4-deficient lung adenocarcinoma. SMARCA4 is a bromodomain-containing transcriptional co-activator within the multi-subunit SWF/SNF complex, which also possesses helicase and ATPase activities and functions to alter chromatin structure. SMARCA4-deficient cell lines harbour abrogating mutations, and previous studies have demonstrated that knockdown of SMARCA2, its functional paralog, in SMARCA4-deficient cell lines results in reduced cellular proliferation and survival. Moreover, SMARCA2 has been shown to be inactivated by epigenetic silencing in a proportion of human tumours. The collateral vulnerability hypothesis was tested in a panel of lung adenocarcinoma cell lines with SMARCA2- and/or SMARCA4-deficiencies. Experiments investigating the effect of siRNA knockdown confirmed both our hypothesis and the published data. A fragment screen against the bromodomain of SMARCA2 generated a high ‘ligandability’ index, suggesting that this target is druggable. Conclusion: SMARCA2 has been validated by our work and others as a target in SMARCA4 deficient lung adenocarcinoma. Future work will focus on elucidating the role of the bromodomain and the ATPase domain in SMARCA2/4 activity, and we are actively pursuing the identification of small molecule inhibitors of SMARCA2. An HTS has been undertaken against a library of >700 million compounds in a DNA-encoded library to identify novel hit matter that may ultimately be developed for therapeutic value. Citation Format: Phil Chapman, Nikki March, Graeme Thomson, Emma Fairweather, Samantha Fritzl, James Hitchin, Nicola Hamilton, Allan Jordan, Ian Waddell, Donald Ogilvie. Inhibition of SMARCA2: a novel target for SMARCA4-deficient lung adenocarcinoma. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 5429. doi:10.1158/1538-7445.AM2015-5429