Barrett, Michael T.

341 Background: Genomes of metastatic pancreatic cancers frequently contain intrachromosomal aberrations indicating DNA repair abnormalities associated with sensitivity to DNA damaging agents such as the platinums. Cisplatin was added to a nab-paclitaxel + gemcitabine regimen, which has been determined to improve survival over gemcitabine alone (NEJM 2013; 369:1691-1703). The objectives are to determine the efficacy and safety of nab-paclitaxel and gemcitabine plus cisplatin in patients with Stage IV pancreatic cancer. Methods: Eligibility criteria included Stage IV adenocarcinoma of the pancreas, no prior chemotherapy for systemic disease, KPS ≥ 70; life expectancy ≥ 12 weeks and measurable disease. Doses are nab-paclitaxel 125 mg/m2 undiluted, gemcitabine 1000 mg/m2 in 500 ml of normal saline (NS), each infused over 30 minutes on days 1 and 8 of a 21 day cycle, along with 3 different dose levels of cisplatin (25, 37.5 or 50 mg/m2) in 500 ml of NS infused over 60 minutes, after the nab-paclitaxel infusion. Pre and post cisplatin hydration was given. The maximum tolerated dose and phase II dose of cisplatin is 25 mg/m2. Results: 25 pts were treated; 24 were evaluable (baseline and ≥ 1 follow up CT scan). The most common drug related grade (gr) 3 - 4 adverse events (AEs), n = 25, were thrombocytopenia 76% (gr 3 = 36%, gr 4 = 40%) with no serious bleeding events, anemia 32% (gr 3 = 32%, gr 4 = 0%), neutropenia 24% (gr 3 = 20%, gr 4 = 4%), infection 20% (gr 3 = 16%, gr 4 = 4%), and diarrhea 16% (gr 3 = 16%, gr 4 = 0%). Peripheral neuropathy ≥ gr 3 was seen in only 1 pt (gr 3 = 4%). Grade 5 AEs were infection (1), cardiac arrest (1), and stroke (1). Median time on therapy was 5.5 months, range (1 – 9.5). By RECIST 1.1 criteria, 2 pts had complete response (8.3%), 15 partial response (62.5%), 4 stable disease (16.7%), and 3 progressive disease (12.5%). Median overall survival to date as of 11/10/16 is 16.5 months. Conclusions: Although a small study, the high response rate and landmark evolving median survival are very encouraging. This regimen is being expanded in patients with stage IV pancreatic cancer, neoadjuvant and adjuvant settings. Clinical trial information: NCT01893801.

463 Background: The genomic assessment of cancer has been revolutionized by next-generation sequencing and is increasingly being applied in the clinic to guide therapeutic decision-making. Time to reporting of results, specimen quantity, and analyte quality have constrained initial clinical applications to gene panels and whole exome based strategies. Methods: Patients underwent surgical resection, excisional or core biopsies, or bone marrow biopsy. Samples were analyzed by whole genome or exome sequencing and RNA sequencing, bioinformatics analysis, and therapeutic target prioritization by a multi-disciplinary Clinical Genomics Board. All prioritized targets were CLIA validated using Sanger sequencing, RT-qPCR, FISH, or IHC as appropriate. Treatment was delivered using off-label FDA approved drugs, clinical trials, or single patient INDs. Results: We have enrolled 40 patients with advanced, treatment-refractory cancers of whom sequencing data is available on 33. The initial 6 patients were evaluated in a non-CLIA pilot phase and 27 in the CLIA enabled phase. Upon availability of the initial report, identified targets of putative therapeutic relevance were then prioritized by the CGB in 22/27 patients (81%) for subsequent CLIA validation. Eleven patients have been treated with genomically selected therapy with partial response in 3/10 assessed patients. A testicular cancer patient had aberrations in two testes specific genes, a copy number gain in TSSK6 and a novel gene fusion between thyroid hormone receptor associated protein 3 (THRAP3) and Tektin 2 (TEKT2). Additionally, a case of papillary renal cell carcinoma had an amplification of YAP1 and a previously unreported P287T mutation in CCND1, suggesting potential benefit with a CDK4/6 inhibitor. Treatment is ongoing and results will be reported. Conclusions: Integrated whole genome analysis in a CLIA setting is feasible. Integration of SNV, copy number and transcriptional data may allow for selection of putative driver genes to enhance targeted therapy decisions. Barriers for future broader implementation include the need for reduced time from biopsy to report and availability of therapies.

Abstract BACKGROUND Genomic intra- and intertumor heterogeneity is one main reason for relapse and resistance to therapy. There is a shortage of studies characterizing the level of genomic intertumoral heterogeneity of known cancer genes in multiple longitudinal biopsies of individual patients. Additionally, a workflow to deconvulate the intermixture of tumor and stromal components is missing. To overcome these limitations and to decipher the genomic heterogeneity and clonal evolution, we developed a method and applied it on matched (primary-recurrence/metastasis) non-squamous, non-small cell lung cancers (NSCLC). METHODS Multiparameter Ploidy Profiling (MPP) comprises the isolation of nuclei from frozen or formalin and paraffin embedded (FFPE) tissues, followed by multiparamter flow sorting. Sorted populations were subjected to genomic profiling by high resolution array comparative genomic hybridization (aCGH) and massively parallel sequencing (MPS). DAPI allowed to seperate populations by ploidy and anti-TTF1 antibodies was used to control for tumor nuclei. Array-CGH, combined with ploidy, was used to retrieve genome wide copy numbers. The Comprehensive Cancer Panel that covers all-exons of 409 cancer genes was applied on all sorted tumor and stromal populations to detect somatic mutations and their variant allelic frequency (VAF). RESULTS MPP was successfully applied to 44 frozen or FFPE tissue specimens from 19 patients. Array-CGH and MPS of TTF1-negative, normal cells were concordant to germline controls. Sequencing revealed that 50% of mutations are shared between primary tumors and metastases. Except for one patient, mutations with VAF>0.3 are shared between primary and metastasis. The variant allelic frequency was significantly higher in shared mutations than mutations that were private to one tumor. Besides common activating mutations in EGFR and KRAS we found biallelic inactivation in tumor suppressor genes like KEAP1, NF1, STK11 and TP53. Two clonal evolutionary patterns were found: 1) early and 2) late divergence. Matched tumors without any shared mutations were classified as unrelated primary tumors. CONCLUSION The power of MPP is to increase the precision of downstream analysis, due to the sorting of pure populations of tumor cells. It permitted to infer the clonal evolution of tumor populations with unprecedented confidence. The low level of genomic heterogeneity of mutations with VAF>0.3 in this study is in line with recent data from Zhang et al., who showed that the poor precision of low depth sequencing (<277x) contributes to an overestimation of genomic heterogeneity (Zhang et al., Science 2014). Integrational analysis of ploidy, chromosomal aberrations and mutations in 409 cancer genes allowed to draw the evolutionary picture of each patient's disease. MPP appears as a promising tool for identification of genomic vulnerabilities that could be exploited for tailored treatment. Citation Format: Thomas Lorber, Tanja Dietsche, Valeria Perrina, Darius Juskevicius, Arthur Krause, David Mueller, Michael Barrett, Christian Ruiz, Lukas Bubendorf. Clonal evolution and genomic tumor heterogeneity in non-small cell lung cancer deciphered by multiparameter ploidy profiling. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 158.

Abstract Background: Genomic tumor heterogeneity is one reason for recurrence and resistance to cancer therapy. It is still not known what leads to the relapse or the emergence of metastasis in individual patients. To contribute to answer this question, we investigated the evolutionary patterns in squamous cell carcinoma of the lung (SCC) in 10 patients with multiple matched tumors (primary vs recurrence/metastasis). Methods: To identify the genomic profile, frozen tissues from SCC patients were subjected to multiparameter ploidy profiling (MPP). Tumor populations were sorted based on ploidy (DNA-content using DAPI) and p40 was used to control for diploid tumor populations. Subsequent genomic profiling by array comparative genomic hybridization (aCGH) and targeted massive parallel sequencing (Ion Torrent Comprehensive Cancer Panel with an all-exon coverage of 409 cancer genes) was applied. Results: The usage of MPP enabled the determination of the clonal composition of the SCC and define genomic characteristics. Due to flow sorting the tumor populations were effectively isolated and existence of distinct clonal populations was indicated. Aneuploid and diploid tumors were successfully revealed using the additional marker p40. Therefore, the absence of non-malignant cells increased the precision in the genomic analyses Conclusion: The study uncovered the composition of human SCC in the sense of different clonal populations, which harbor private genomic aberrations and mutations confirmed by aCGH and NGS. Even if our data is still preliminary we provide evidence that applying MPP increases the precision of aCGH and sequencing analysis. Genomic analyses of sorted pure tumor population allows to reconstruct the clonal evolution and facilitates the understanding of tumor heterogeneity and their evolutionary pattern, which could have potentially an impact on therapeutic response or metastasis development. Citation Format: Arthur Krause, Thomas Lorber, Valeria Perrina, Tanja Dietsche, Michael Barrett, Christian Ruiz, Lukas Bubendorf. The analysis of the genomic evolution of squamous cell carcinoma of the lung. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 155.

Abstract Introduction: Small cell carcinoma of the ovary of hypercalcemic type (SCCOHT) is arguably the most aggressive ovarian cancer. Most patients are diagnosed at an advanced stage, do not respond to chemotherapy, and die of disease within 1-2 years. It affects children and young women and is reported to occur in families. The cause of the disease is poorly understood. Therefore, we used next generation sequencing technology to identify the genetic basis of the disease. Method: We performed whole genome, whole exome sequencing or targeted sequencing on tumours and germline samples from 17 SCCOHT patients and on the SCCOHT cell line BIN-67 and SCCOHT-1. Immunohistochemistry (IHC) was performed on formalin-fixed, paraffin-embedded tumors from 23 patients and on a tissue microarray of 485 primary ovarian tumours of other subtypes. BIN-67 cells harbouring biallelic inactivation of SMARCA4 were transduced with a lentivirus expressing wild type SMARCA4. Result: We identified inactivating germline and somatic mutations in the SWI/SNF chromatin-remodeling gene SMARCA4 in 79% (11/14) of SCCOHT patients, 2 of whom bore germline mutations, and in both cell lines. SMARCA4 protein was lost in 87% (20/23) of SCCOHT tumours but in only 0.4% (2/485) of other primary ovarian tumours. Reintroduction of wild-type SMARCA4 into BIN-67 cells resulted in altered cell morphology and growth arrest. Conclusions: The mutation spectrum, IHC profile and cell culture phenotype implicate SMARCA4 as a critical tumour suppressor in SCCOHT pathogenesis. Citation Format: Pilar Ramos, Anthony N. Karnezis, David W. Craig, Aleksandar Sekulic, Megan L. Russell, William P.D. Hendricks, Jason J. Corneveaux, Michael T. Barrett, Karey Shumansky, Yidong Yang, Sohrab P. Shah, Leah M. Prentice, Marco A. Marra, Jeffrey Kiefer, Victoria L. Zismann, Troy A. McEachron, Bodour Salhia, Jaime Prat, Blaise A. Clarke, Joseph G. Pressey, John H. Farley, Stephen P. Anthony, Richard B.S. Roden, Heather E. Cunliffe, David G. Huntsman, Jeffrey M. Trent. Small cell carcinoma of the ovary, hypercalcemic type displays frequent inactivating germline and somatic mutations in SMARCA4 [abstract]. In: Proceedings of the 10th Biennial Ovarian Cancer Research Symposium; Sep 8-9, 2014; Seattle, WA. Philadelphia (PA): AACR; Clin Cancer Res 2015;21(16 Suppl):Abstract nr POSTER-BIOL-1327.

Abstract Background: Breast tumors exhibit intratumor heterogeneity resulting in targeted therapy resistance and other challenges in disease management. To address the sources of heterogeneity, we performed a unique, in-depth analysis of clonal architecture in primary chemoradiation-naïve breast cancers. We combined DNA content-based flow cytometry and ploidy analysis with aCGH and whole exome next-generation sequencing (NGS) in multiple biopsies from the tumors and involved lymph nodes (LNs). Material and methods: We sorted nuclei from distinct populations of diploid, tetraploid, and aneuploid cells in surgical tumor samples from three chemoradiation-naïve patients. Each sorted tumor cell population was interrogated with aCGH and whole exome NGS. In Patient #1, we sorted and interrogated the genomes of tumor populations from 12 fresh frozen sections morphologically mapped from within a HER2+, ER+, PR- primary invasive ductal carcinoma (IDC) of histological grade 3 with LN involvement and 2-3 sections from 2 out of 5 LNs. In Patient #2, 11 morphologically mapped fresh frozen sections were analyzed from a grade 2, ER+, PR+, HER2+, BRCA2 mutant LN- IDC. In parallel, matching samples were processed for IHC assays. In Patient #3 biopsies from a grade 2 ER+, PR+ primary tumor were profiled. Results: The 18 primary and LN biopsies from Patient #1 fell into 6 distinct ploidy groups albeit with aberrant but homogenous aCGH profiles, characterized by SARC amplification and homozygous deletions in ROBO1 and ROBO2. In contrast a dominant ploidy was identified throughout 10 biopsies in Patient #2 but with heterogeneous aCGH profiles. Patient #3 had a clonal homozygous deletion in Numb in each of 4 tumor biopsies. Mutation profiles obtained through exome sequencing further confirmed that ploidy was the main driver in Patient #1 whereas copy number aberrations played the key role in Patient #2 with the BRCA2 mutation (R3129X). A dendrogram based on exome variant calls of the aneuploid populations in Patient #1 strongly correlated with ploidy group and further revealed the specific clonal population characterized by a 5N ploidy and homozygous mutations in TP53 and PIK3CA as the progenitor to the ploidies present in the distant LNs. Strikingly, patients #1 and #2 were HER2 wild type across their clonal populations, contradicting IHC staining in a single core biopsy. Conclusions:Rather than inferring the presence of distinct tumor cell populations, our flow-sorting based approach of first identifying clonal populations and then interrogating their genomes, provides an objective method of exploring the sources and clinical significance of tumor heterogeneity. Our approach of clonal analysis has broad implications in the study of tumor heterogeneity and the identification of drivers in breast and other solid tumors that can advance more effective treatment and clinical management of patients with this disease. Citation Format: MARIACARLA ANDREOZZI, Princy Francis, Elizabeth Lenkiewicz, Mia Champion, Brady Laughlin, Karen Anderson, Heather Cunliffe, Ann E. McCullough, Michael T. Barrett, Barbara Pockaj. Deep clonal profiling identifies distinct mechanisms of heterogeneity and evolution in breast cancer. [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 LB-175. doi:10.1158/1538-7445.AM2015-LB-175

Abstract Background: The genomes of metastatic pancreatic cancers contain a myriad of intrachromosomal aberrations indicating a likely high prevalence of DNA repair deficiencies indicating sensitivity to DNA damaging agents such as the platinum’s. Because of this, the drug cisplatin was added to an albumin-bound paclitaxel + gemcitabine regimen, which has already been determined to improve survival over gemcitabine alone in a randomized phase III trial (NEJM 2013; 369:1691-1703). Objectives: To determine the efficacy and safety of albumin-bound paclitaxel and gemcitabine plus cisplatin for patients with advanced pancreatic cancer Methods: Eligibility criteria included Stage IV pancreatic cancer, no prior chemotherapy for systemic disease, KPS ≥ 70; life expectancy ≥ 12 weeks and measurable disease. The doses were albumin-bound paclitaxel 125 mg/m2 undiluted, gemcitabine 1000 mg/m2 in 500 ml of normal saline (NS), each infused over 30 minutes on days 1 and 8 of a 21 day cycle, along with 3 different dose levels of cisplatin (25, 37.5 or 50 mg/m2) in 500 ml of NS infused over 60 minutes, after the nab-paclitaxel infusion. Pre and post cisplatin hydration was given. Results: To date, 10 patients have been entered on study with all patients being evaluable, (baseline and at least one follow up CT scans completed). There have been 2 complete responses (20%), 6 partial responses (PR), (60%), 1 stable disease (10%), and 1 patient with progressive disease (10%), by RECIST 1.1 criteria. An exponential decrease in CA19-9 correlating with the t1/2 of the marker was noted. Response was seen rapidly with PR observed at the first staging evaluation at 9 weeks in 7 of 10 patients. The 8th patient achieved a PR at 18 weeks. Serious adverse events occurred in 4 patients: non-neutropenic sepsis/pneumonia (n = 1), and non-neutropenic bacteremia (n = 1) in the cisplatin 25 mg/m2 cohort; clostridium difficile colitis (n = 1) with cisplatin 37.5 mg/m2; and neutropenic fever/pneumonia (n = 1) with cisplatin 50mg/m2. Discussion: The study has completed phase Ib and will be expanded at the phase II dose of cisplatin 25 mg/m2 for a total of 25 patients. If this favorable response rate is confirmed, this 3 drug regimen could be further developed both for patients with advanced disease as well as in neoadjuvant and adjuvant settings. Supported by grants from the Seena Magowitz Foundation and the SU2C Dream Team Citation Format: Gayle S. Jameson, Erkut Borazanci, Elizabeth Poplin, Michael T. Barrett, John Crowley, Adam Rosenthal, Amy Stoll-D'Astice, Karen L. Ansaldo, Steven Boone, Leticia Lebron, Ramesh K. Ramanathan, Ronald L. Korn, Daniel D. Von Hoff. High complete and partial response rate in a phase Ib pilot trial with cisplatin plus albumin-bound paclitaxel and gemcitabine in patients with advanced pancreatic cancer. [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 LB-003. doi:10.1158/1538-7445.AM2015-LB-003

Abstract Background: Genomic assessment of cancer has been revolutionized by Next-Generation sequencing and is increasingly being applied to guide clinical prognostic and therapeutic decision-making. Initial clinical applications have been limited to gene panels and whole exome based strategies due to challenges with time to reporting of results, specimen quantity, analyte quality, and ethical-legal-social issues (ELSI). Methods: Excisional or core tumor biopsies or bone marrow biopsies were obtained from consenting participants. Nucleic acid was extracted from fresh or frozen samples followed by WGS/WES/RNASeq on the Illumina HiSeq2000 or HiSeq2500 and bioinformatics analysis. Therapeutic targets were then prioritized by a multi-disciplinary Genomic Tumor Board (GTB) and CLIA validated using Sanger sequencing, RT-qPCR, FISH and/or IHC. Treatment was delivered using on/off-label FDA approved drugs, available clinical trials and single patient INDs. Results: We consented 64 and enrolled 35 patients with advanced, treatment-refractory cancers. Median age was 59 (range 27-91) with 62% male. The majority had ECOG scores of 1 (94%). A median of 79 (range 28-8891) potentially functional somatic point mutations were identified in each case. One to two mutations/case were further identified as therapeutically targetable in 60% of the cases. The median time from tissue acquisition to CLIA validated results was 116 days (range 42-282) with CLIA validation of targets achieved in 21 of 22 patients. Genomic, target directed treatment was ultimately instituted in 13 patients utilizing: on/off label FDA approved drugs (n = 9), clinical trial (n = 3) and single patient IND (n = 1). Preliminary clinical efficacy was noted in 5 patients (2 PR, 3 SD). Integration of WES, long-insert WGS and RNA-Seq identified a case with an ERRFI1 mutant allele present in only 11% of the DNA reads while 82% of the RNA-Seq reads had the mutant transcript. The patient was treated with erlotinib and achieved a partial response by RECIST criteria. In another case, a fusion between FGFR2-MGEA5 was observed in WES and RNA-Seq data leading to prioritization as a drug target. Reasons for patients not receiving targeted therapy included: inability to access treatment (n = 1), death prior to intended treatment (n = 3), results returned after death (n = 3), no targets identified (n = 2) and decision to pursue alternate therapy (n = 5). Conclusions: Integrating whole genome analysis in a CLIA setting is not only feasible, but also valuable, in the prioritization and selection of potential targeted therapies for patients with advanced tumors. Continued barriers to broad application include the need for shorter time to reporting as well as broad availability of therapies through basket studies. Citation Format: Mitesh J. Borad, Jan Egan, Mia Champion, Katherine Hunt, Robert McWilliams, Ann McCullough, Jessica Aldrich, Sara Nasser, Winnie Liang, Michael Barrett, David Craig, Ramesh Ramanathan, John Carpten, A. Keith Stewart, Alan Bryce. Implementation of CLIA enabled integrated whole genome (WGS)/exome (WES)/transcriptome (RNAseq) next-gen sequencing to identify therapeutically relevant targets in advanced cancer patients. [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 CT112. doi:10.1158/1538-7445.AM2015-CT112