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The implementation of targeted therapies for acute myeloid leukaemia (AML) has been challenging because of the complex mutational patterns within and across patients as well as a dearth of pharmacologic agents for most mutational events. Here we report initial findings from the Beat AML programme on a cohort of 672 tumour specimens collected from 562 patients. We assessed these specimens using whole-exome sequencing, RNA sequencing and analyses of ex vivo drug sensitivity. Our data reveal mutational events that have not previously been detected in AML. We show that the response to drugs is associated with mutational status, including instances of drug sensitivity that are specific to combinatorial mutational events. Integration with RNA sequencing also revealed gene expression signatures, which predict a role for specific gene networks in the drug response. Collectively, we have generated a dataset—accessible through the Beat AML data viewer (Vizome)—that can be leveraged to address clinical, genomic, transcriptomic and functional analyses of the biology of AML. Analyses of samples from patients with acute myeloid leukaemia reveal that drug response is associated with mutational status and gene expression; the generated dataset provides a basis for future clinical and functional studies of this disease.

// Niklas K. Finnberg 1 , Prashanth Gokare 1 , Avital Lev 1 , Sergei I. Grivennikov 2 , Alexander W. MacFarlane IV 3 , Kerry S. Campbell 3 , Ryan M. Winters 4 , Karen Kaputa 4 , Jeffrey M. Farma 5 , Abbas El-Sayed Abbas 6 , Luigi Grasso 7 , Nicholas C. Nicolaides 7 and Wafik S. El-Deiry 1 1 Department of Hematology/Oncology and Molecular Therapeutics Program, Laboratory of Translational Oncology and Experimental Cancer Therapeutics, Fox Chase Cancer Center, Philadelphia, PA, USA 2 Cancer Prevention and Control Program, Fox Chase Cancer Center, Philadelphia, PA, USA 3 Division of Basic Science, Fox Chase Cancer Center, Philadelphia, PA, USA 4 Biosample Repository Facility, Fox Chase Cancer Center, Philadelphia, PA, USA 5 Division of General Surgery, Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA 6 Division of Thoracic Surgery, Department of Surgical Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA 7 Morphotek Inc., Philadelphia, PA, USA Correspondence to: Wafik S. El-Deiry, email: // Keywords : 3D, organoid, colorectal cancer, immune cells, biomarkers Received : June 24, 2017 Accepted : July 20, 2017 Published : August 05, 2017 Abstract We have developed 3D-tumoroids and tumor slice in vitro culture systems from surgical tumor specimens derived from patients with colorectal cancer (CRC) or lung cancer to evaluate immune cell populations infiltrating cultured tissues. The system incorporates patient’s peripherally and tumor-derived immune cells into tumoroid in vitro cultures to evaluate the ability of the culture to mimic an immunosuppressive tumor microenvironment (ITM). This system enables analysis of tumor response to standard therapy within weeks of surgical resection. Here we show that tumoroid cultures from a CRC patient are highly sensitive to the thymidylate synthase inhibitor 5-fluorouracil (adrucil) but less sensitive to the combination of nucleoside analog trifluridine and thymidine phosphorylase inhibitor tipiracil (Lonsurf). Moreover, re-introduction of isolated immune cells derived from surrounding and infiltrating tumor tissue as well as CD45+ tumor infiltrating hematopoietic cells displayed prolonged (>10 days) survival in co-culture. Established tumor slice cultures were found to contain both an outer epithelial and inner stromal cell compartment mimicking tumor structure in vivo . Collectively, these data suggest that, 3D-tumoroid and slice culture assays may provide a feasible in vitro approach to assess efficacy of novel therapeutics in the context of heterogeneous tumor-associated cell types including immune and non-transformed stromal cells. In addition, delineating the impact of therapeutics on immune cells, and cell types involved in therapeutic resistance mechanisms may be possible in general or for patient-specific responses.

Background Circulating tumor DNA (ctDNA) is a promising, non-invasive biomarker for preclinical detection and monitoring of various cancers. The utility of ctDNA assessment in renal cell carcinoma (RCC) in not well established. Here, we evaluate the potential of a bespoke, multiplex PCR, whole exome sequencing (WES)-based approach for ctDNA detection. Methods The cohort consisted of 42 patients with stage Ib-IV RCC who underwent complete surgical resection. ctDNA was measured in plasma samples drawn pre-surgery (n = 34; baseline) and at post-operative time points (n = 41) using the bespoke assay targeting patient-specific tumor variants. Results A median of 11.7 ng (1.4-175 ng) of cfDNA was extracted from a median plasma volume of 3.2 mL (1.2-3.8 mL). ctDNA was detected with a mean mutant molecules/mL of 5.3 (0.22-62). Baseline ctDNA was detected in 41% (14/34) of patients. Presence of ctDNA was significantly associated with increased tumor size (mean 9.7 vs 7.1cm, p Conclusions Presence of presurgical ctDNA strongly correlates with advanced stage RCC. Despite low plasma volumes, the bespoke assay detected ctDNA in 41% of baseline samples. Postoperative ctDNA presence is correlated with clinical relapse. However, absence of ctDNA does not preclude recurrence as RCC is known to shed limited amounts of ctDNA. Higher sample volumes and multiregion tumor biopsies could enhance detection rates. This personalized approach has the potential to be used for ctDNA-based detection of relapse in patients with advanced stage RCC. Legal entity responsible for the study Natera, Inc.; Fox Chase Cancer Center. Funding Natera, Inc.; Fox Chase Cancer Center. Disclosure M. Balcioglu: Shareholder / Stockholder / Stock options, Full / Part-time employment, I am an employee of Natera and own stock/options to stock.: Natera, Inc. H. Wu: Shareholder / Stockholder / Stock options, Full / Part-time employment, I am an employee of Natera and own stock/options to stock.: Natera, Inc. S. Dashner: Shareholder / Stockholder / Stock options, Full / Part-time employment, I am an employee of Natera and own stock/options to stock.: Natera, Inc. S. Shchegrova: Shareholder / Stockholder / Stock options, Full / Part-time employment, I am an employee of Natera and own stock/options to stock.: Natera, Inc. E. Kalashnikova: Full / Part-time employment: Natera, Inc. H. Pawar: Shareholder / Stockholder / Stock options, Full / Part-time employment, I am an employee of Natera and own stock/options to stock.: Natera, Inc. R.G. Uzzo: Advisory / Consultancy: Janssen; Advisory / Consultancy: Pfizer; Advisory / Consultancy: Novartis; Advisory / Consultancy: Argos. A. Aleshin: Shareholder / Stockholder / Stock options, Full / Part-time employment, I am an employee of Natera and own stock/options to stock.: Natera, Inc. H. Sethi: Shareholder / Stockholder / Stock options, Full / Part-time employment, I am an employee of Natera and own stock/options to stock.: Natera, Inc. R. Salari: Shareholder / Stockholder / Stock options, Full / Part-time employment, I am an employee of Natera and own stock/options to stock.: Natera, Inc. M. Louie: Shareholder / Stockholder / Stock options, Full / Part-time employment, I am an employee of Natera and own stock/options to stock.: Natera, Inc. B. Zimmermann: Shareholder / Stockholder / Stock options, Full / Part-time employment, I am an employee of Natera and own stock/options to stock.: Natera, Inc. P. Abbosh: Advisory / Consultancy, Advisory: Janssen; Advisory / Consultancy, Advisory: AstraZeneca. All other authors have declared no conflicts of interest.