Bruce M. Wollison

The Public Repository of Xenografts Enables Discovery and Randomized Phase II-like Trials in Mice

More than 90% of drugs with preclinical activity fail in human trials, largely due to insufficient efficacy. We hypothesized that adequately powered trials of patient-derived xenografts (PDX) in mice could efficiently define therapeutic activity across heterogeneous tumors. To address this hypothesis, we established a large, publicly available repository of well-characterized leukemia and lymphoma PDXs that undergo orthotopic engraftment, called the Public Repository of Xenografts (PRoXe). PRoXe includes all de-identified information relevant to the primary specimens and the PDXs derived from them. Using this repository, we demonstrate that large studies of acute leukemia PDXs that mimic human randomized clinical trials can characterize drug efficacy and generate transcriptional, functional, and proteomic biomarkers in both treatment-naive and relapsed/refractory disease.

Genomic Heterogeneity as a Barrier to Precision Medicine in Gastroesophageal Adenocarcinoma

Gastroesophageal adenocarcinoma (GEA) is a lethal disease where targeted therapies, even when guided by genomic biomarkers, have had limited efficacy. A potential reason for the failure of such therapies is that genomic profiling results could commonly differ between the primary and metastatic tumors. To evaluate genomic heterogeneity, we sequenced paired primary GEA and synchronous metastatic lesions across multiple cohorts, finding extensive differences in genomic alterations, including discrepancies in potentially clinically relevant alterations. Multiregion sequencing showed significant discrepancy within the primary tumor (PT) and between the PT and disseminated disease, with oncogene amplification profiles commonly discordant. In addition, a pilot analysis of cell-free DNA (cfDNA) sequencing demonstrated the feasibility of detecting genomic amplifications not detected in PT sampling. Lastly, we profiled paired primary tumors, metastatic tumors, and cfDNA from patients enrolled in the personalized antibodies for GEA (PANGEA) trial of targeted therapies in GEA and found that genomic biomarkers were recurrently discrepant between the PT and untreated metastases. Divergent primary and metastatic tissue profiling led to treatment reassignment in 32% (9/28) of patients. In discordant primary and metastatic lesions, we found 87.5% concordance for targetable alterations in metastatic tissue and cfDNA, suggesting the potential for cfDNA profiling to enhance selection of therapy.Significance: We demonstrate frequent baseline heterogeneity in targetable genomic alterations in GEA, indicating that current tissue sampling practices for biomarker testing do not effectively guide precision medicine in this disease and that routine profiling of metastatic lesions and/or cfDNA should be systematically evaluated. Cancer Discov; 8(1); 37-48. ©2017 AACR.See related commentary by Sundar and Tan, p. 14See related article by Janjigian et al., p. 49This article is highlighted in the In This Issue feature, p. 1.

Erratum: The Public Repository of Xenografts Enables Discovery and Randomized Phase II-like Trials in Mice (Cancer Cell (2016) 29 (574–586))

Elizabeth C. Townsend, Mark A. Murakami, Alexandra Christodoulou, Amanda L. Christie, Johannes Köster, Tiffany A. DeSouza, Elizabeth A. Morgan, Scott P. Kallgren, Huiyun Liu, Shuo-Chieh Wu, Olivia Plana, Joan Montero, Kristen E. Stevenson, Prakash Rao, Raga Vadhi, Michael Andreeff, Philippe Armand, Karen K. Ballen, Patrizia Barzaghi-Rinaudo, Sarah Cahill, Rachael A. Clark, Vesselina G. Cooke, Matthew S. Davids, Daniel J. DeAngelo, David M. Dorfman, Hilary Eaton, Benjamin L. Ebert, Julia Etchin, Brant Firestone, David C. Fisher, Arnold S. Freedman, Ilene A. Galinsky, Hui Gao, Jacqueline S. Garcia, Francine Garnache-Ottou, Timothy A. Graubert, Alejandro Gutierrez, Ensar Halilovic, Marian H. Harris, Zachary T. Herbert, Steven M. Horwitz, Giorgio Inghirami, Andrew M. Intlekofer, Moriko Ito, Shai Izraeli, Eric D. Jacobsen, Caron A. Jacobson, Sébastien Jeay, Irmela Jeremias, Michelle A. Kelliher, Raphael Koch, Marina Konopleva, Nadja Kopp, Steven M. Kornblau, Andrew L. Kung, Thomas S. Kupper, Nicole R. LeBoeuf, Ann S. LaCasce, Emma Lees, Loretta S. Li, A. Thomas Look, Masato Murakami, Markus Muschen, Donna Neuberg, Samuel Y. Ng, Oreofe O. Odejide, Stuart H. Orkin, Rachel R. Paquette, Andrew E. Place, Justine E. Roderick, Jeremy A. Ryan, Stephen E. Sallan, Brent Shoji, Lewis B. Silverman, Robert J. Soiffer, David P. Steensma, Kimberly Stegmaier, Richard M. Stone, Jerome Tamburini, Aaron R. Thorner, Paul van Hummelen, Martha Wadleigh, Marion Wiesmann, Andrew P. Weng, Jens U. Wuerthner, David A. Williams, Bruce M. Wollison, Andrew A. Lane, Anthony Letai, Monica M. Bertagnolli, Jerome Ritz, Myles Brown, Henry Long, Jon C. Aster, Margaret A. Shipp, James D. Griffin, and David M. Weinstock* *Correspondence: dweinstock@partners.org http://dx.doi.org/10.1016/j.ccell.2016.06.008

Association of Alterations in Main Driver Genes With Outcomes of Patients With Resected Pancreatic Ductal Adenocarcinoma

Importance Although patients with resected pancreatic adenocarcinoma are at high risk for disease recurrence, few biomarkers are available to inform patient outcomes. Objective To evaluate the alterations of the 4 main driver genes in pancreatic adenocarcinoma and patient outcomes after cancer resection. Design, Setting, and Participants This study analyzed protein expression and DNA alterations for the KRAS, CDKN2A, SMAD4, and TP53 genes by immunohistochemistry and next-generation sequencing in formalin-fixed, paraffin-embedded tumors in 356 patients with resected pancreatic adenocarcinoma who were treated at the Dana-Farber/Brigham and Women’s Cancer Center (October 26, 2002, to May 21, 2012), University of Rochester Medical Center (March 1, 2006, to November 1, 2013), or Stanford Cancer Institute (September 26, 1995, to May 22, 2013). Associations of driver gene alterations with disease-free survival (DFS) and overall survival (OS) were evaluated using Cox proportional hazards regression with estimation of hazard ratios (HRs) and 95% CIs and adjustment for age, sex, tumor characteristics, institution, and perioperative treatment. Data were collected September 9, 2012, to June 28, 2016, and analyzed December 17, 2016, to March 14, 2017. Main Outcomes and Measures The DFS and OS among patients with resected pancreatic adenocarcinoma. Results Of the 356 patients studied, 191 (53.7%) were men and 165 (46.3%) were women, with a median (interquartile range [IQR]) age of 67 (59.0-73.5) years. Patients with KRAS mutant tumors had worse DFS (median [IQR], 12.3 [6.7 -27.2] months) and OS (20.3 [11.3-38.3] months) compared with patients with KRAS wild-type tumors (DFS, 16.2 [8.9-30.5] months; OS, 38.6 [16.6-63.1] months) and had 5-year OS of 13.0% vs 30.2%. Particularly poor outcomes were identified in patients with KRAS G12D-mutant tumors, who had a median (IQR) OS of 15.3 (9.8-32.7) months. Patients whose tumors lacked CDKN2A expression had worse DFS (median, 11.5 [IQR, 6.2-24.5] months) and OS (19.7 [10.9-37.1] months) compared with patients who had intact CDKN2A (DFS, 14.8 [8.2-30.5] months; OS, 24.6 [14.1-44.6] months). The molecular status of SMAD4 was not associated with DFS or OS, whereas TP53 status was associated only with shorter DFS (HR, 1.33; 95% CI, 1.02-1.75; P = .04). Patients had worse DFS and OS if they had a greater number of altered driver genes. Compared with patients with 0 to 2 altered genes, those with 4 altered genes had worse DFS (HR, 1.79 [95% CI, 1.24-2.59; P = .002]) and OS (HR, 1.38 [95% CI, 0.98-1.94; P = .06]). Five-year OS was 18.4% for patients with 0 to 2 gene alterations, 14.1% for those with 3 alterations, and 8.2% for those with 4 alterations. Conclusions and Relevance Patient outcomes are associated with alterations of the 4 main driver genes in resected pancreatic adenocarcinoma.

Germline cancer susceptibility gene variants, somatic second hits, and survival outcomes in patients with resected pancreatic cancer

PurposeGermline variants in double-strand DNA damage repair (dsDDR) genes (e.g., BRCA1/2) predispose to pancreatic adenocarcinoma (PDAC) and may predict sensitivity to platinum-based chemotherapy and poly(ADP) ribose polymerase (PARP) inhibitors. We sought to determine the prevalence and significance of germline cancer susceptibility gene variants in PDAC with paired somatic and survival analyses.MethodsUsing a customized next-generation sequencing panel, germline/somatic DNA was analyzed from 289 patients with resected PDAC ascertained without preselection for high-risk features (e.g., young age, personal/family history). All identified variants were assessed for pathogenicity. Outcomes were analyzed using multivariable-adjusted Cox proportional hazards regression.ResultsWe found that 28/289 (9.7%; 95% confidence interval [CI] 6.5–13.7%) patients carried pathogenic/likely pathogenic germline variants, including 21 (7.3%) dsDDR gene variants (3 BRCA1, 4 BRCA2, 14 other dsDDR genes [ATM, BRIP1, CHEK2, NBN, PALB2, RAD50, RAD51C]), 3 Lynch syndrome, and 4 other genes (APC p.I1307K, CDKN2A, TP53). Somatic sequencing and immunohistochemistry identified second hits in the tumor in 12/27 (44.4%) patients with germline variants (1 failed sequencing). Compared with noncarriers, patients with germline dsDDR gene variants had superior overall survival (hazard ratio [HR] 0.54; 95% CI 0.30–0.99; P = 0.05).ConclusionNearly 10% of PDAC patients harbor germline variants, although the majority lack somatic second hits, the therapeutic significance of which warrants further study.

Blood collection in cell-stabilizing tubes does not impact germline DNA quality for pediatric patients

Objectives Liquid biopsy technologies allow non-invasive tumor profiling for patients with solid tumor malignancies by sequencing circulating tumor DNA. These studies may be useful in risk-stratification, monitoring for relapse, and understanding tumor evolution. The quality of DNA obtained for these studies is improved when blood samples are collected in tubes that stabilizing white blood cells (WBC). However, ongoing germline research in pediatric oncology generally requires obtaining blood samples in EDTA tubes, which do not contain a WBC-stabilizing preservative. In this study, we explored whether blood samples collected in WBC-stabilizing tubes could be used for both liquid biopsy and germline studies simultaneously, minimizing blood collection volumes for pediatric patients. Methods Blood was simultaneously collected from three patients in both EDTA and Streck Cell-Free DNA BCT® tubes. Germline DNA was extracted from all blood samples and subjected to whole-exome sequencing and microarray profiling. Results Quality control metrics of DNA quality, sequencing library preperation and whole-exome sequencing alignment were virtually identical regardless of the sample collection method. There was no discernable difference in patterns of variant calling for paired samples by either whole-exome sequencing or microarray analysis. Conclusion Our study demonstrates that high-quality genomic studies may be performed from germline DNA obtained in Streck tubes. Therefore, these tubes may be used to simultaneously obtain samples for both liquid biopsy and germline studies in pediatric patients when the volume of blood available for research studies may be limited.

Abstract 3644: Optimization of library construction for massively parallel sequencing using low-input, FFPE-derived DNA without additional PCR amplification

Proceedings: AACR 107th Annual Meeting 2016; April 16-20, 2016; New Orleans, LA Massively parallel sequencing (MPS) is increasingly used in the laboratory and clinic to identify genomic factors contributing to tumorigenesis, such as somatic mutations, DNA insertions and deletions, transcriptome and epigenetic changes, and chromosomal abnormalities. Because tumor specimens are often quite limited or are from rare and precious samples, it is necessary to prepare sequencing libraries from minimal amounts of DNA. Indeed, it can be challenging to extract sufficient amounts of starting material from fresh-frozen paraffin embedded (FFPE) samples for library construction, and frequently samples are not processed because they do not reach minimum requirements. Therefore, it is of great importance to improve currently available protocols to process low yield FFPE-derived DNA for MPS. This will allow for the inclusion of more tumor samples to be sequenced per cohort, resulting in increased ability to identify genomic factors involved in tumorigenesis. Here, we optimized the KAPA Library Preparation Kit (Kapa Biosystems, Wilmington, MA) to successfully perform library construction from low-yield FFPE and fresh frozen samples. The kit normally requires an input of at least 100 ng of DNA. However, we were able to modify the protocol to prepare libraries from as little as 10 ng of starting material by optimizing the ratio of adapter:input DNA and SPRI-clean-up, performing low-volume reactions, and using IDT universal blockers during hybrid capture. Additional library enrichment PCR was not required. Library yields were sufficient for downstream hybrid capture and sequencing, and sequencing metrics were comparable to samples that were prepped using the manufacturers recommendations. Experiments are underway to demonstrate that library complexity remains unchanged. Citation Format: Aaron R. Thorner, Liuda Ziaugra, Matthew D. Ducar, Ling Lin, Angelica Laing, Haley A. Coleman, Suzanne R. McShane, Andrea Clapp, Rachel R. Paquette, Bruce M. Wollison, Johann Hoeftberger, Neil A. Patel, Samuel S. Hunter, Monica D. Manam, Laura E. MacConaill, William C. Hahn, Matthew L. Meyerson, Paul van Hummelen. Optimization of library construction for massively parallel sequencing using low-input, FFPE-derived DNA without additional PCR amplification. [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 3644.

Abstract 1115: Targeted RNA sequencing improves transcript analysis in cancer samples

RNA sequencing (RNA-seq) is a transcriptome profiling technology that provides multiple levels of insight into the genome. In addition to expression levels (transcript abundance), it generates endpoints such as alternative splicing, somatic mutations and rearrangements, which may have functional consequences in cancer. Although somatic mutations are generally identified by DNA sequencing, RNA-seq has the advantage of detecting allele-specific expression affecting a variant allele, as well as functional chimeric transcripts that result from structural rearrangements. Compared to microarray technologies, RNA-seq can provide additional information about novel transcripts. Due to the complexity of the human transcriptome and the variability of gene abundance, the cost of whole transcriptome sequencing to achieve sufficient coverage to detect these types of alterations remains high. To explore the feasibility of a more cost-effective method, we compared the performance of three different RNA-seq methods: whole-transcriptome-, exome-, and targeted RNA-seq, using RNA derived from cancer cell lines and Formaldehyde Fixed-Paraffin Embedded (FFPE) samples. For whole-transcriptome preparation, we used the Illumina TruSeq Stranded mRNA and total RNA kits for cell line and FFPE samples, respectively. Exome-RNAseq was performed using the Illumina Access kit. The libraries from whole-transcriptome RNAseq were subjected to hybridization capture using OncoPanel-an Agilent SureSelect baitset of 500 cancer-related genes. Compared to whole-transcriptome, exome- and targeted-RNA-seq demonstrated (1) higher coding exon coverage and multiplexing capability; (2) reduced rRNA composition to 1%; (3) comparable gene abundance information and (4) over 90% of reads aligned to coding exon regions in FFPE samples, compare to ∼30% when using whole transcriptome method. In conclusion, we demonstrated that exome- and targeted RNA-seq provide a cost-effective way to analyze a subset of the transcriptome. Furthermore, targeted RNA-seq can be highly multiplexed and is therefore amenable for large-scale tumor profiling in clinical or research settings. Citation Format: Ling Lin, Ryan Abo, Deniz Dolcen, Rachel Paquette, Angelica Laing, Luc de Waal, Aaron Thorner, Matthew Ducar, Liuda Ziaugra, Bruce Wollison, Marc Breneiser, William Hahn, Matthew Meyerson, Paul Van Hummelen, Laura MacConaill. Targeted RNA sequencing improves transcript analysis in cancer samples. [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 1115. doi:10.1158/1538-7445.AM2015-1115