Nicholas J. Roberts
Johns Hopkins University
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Featured researches published by Nicholas J. Roberts.
Cancer Discovery | 2012
Nicholas J. Roberts; Yuchen Jiao; Jun Yu; Levy Kopelovich; Gloria M. Petersen; Melissa L. Bondy; Steven Gallinger; Ann G. Schwartz; Sapna Syngal; Michele L. Cote; Jennifer E. Axilbund; Richard D. Schulick; Syed Z. Ali; James R. Eshleman; Victor E. Velculescu; Michael Goggins; Bert Vogelstein; Nickolas Papadopoulos; Ralph H. Hruban; Kenneth W. Kinzler; Alison P. Klein
UNLABELLED Pancreatic cancers are the fourth most-common cause of cancer-related deaths in the Western world, with >200,000 cases reported in 2010. Although up to 10% of these cases occur in familial patterns, the hereditary basis for predisposition in the vast majority of affected families is unknown. We used next-generation sequencing, including whole-genome and whole-exome analyses, and identified heterozygous, constitutional, ataxia telangiectasia mutated (ATM) gene mutations in 2 kindreds with familial pancreatic cancer. Mutations segregated with disease in both kindreds and tumor analysis demonstrated LOH of the wild-type allele. By using sequence analysis of an additional 166 familial pancreatic cancer probands, we identified 4 additional patients with deleterious mutations in the ATM gene, whereas we identified no deleterious mutations in 190 spouse controls (P = 0.046). When we considered only the mostly severely affected families with 3 or more pancreatic cancer cases, 4 deleterious mutations were found in 87 families (P = 0.009). Our results indicate that inherited ATM mutations play an important role in familial pancreatic cancer predisposition. SIGNIFICANCE The genes responsible for the majority of cases of familial pancreatic ductal adenocarcinoma are unknown. We here identify ATM as a predisposition gene for pancreatic ductal adenocarcinoma. Our results have important implications for the management of patients in affected families and illustrate the power of genome-wide sequencing to identify the basis of familial cancer syndromes.
Science Translational Medicine | 2012
Nicholas J. Roberts; Joshua T. Vogelstein; Giovanni Parmigiani; Kenneth W. Kinzler; Bert Vogelstein; Victor E. Velculescu
A statistical method applied to monozygotic twin data assesses the ability of whole-genome sequencing to predict disease risk in the general population. Is It All in Your Genes? Imagine that everyone at birth could have their whole genome sequenced at negligible cost. Surely, this must be a worthwhile endeavor, given the list of luminaries that have already had this sequencing completed. But how well will such tests perform? Will we be able to predict what diseases individuals will develop, and die from, right from birth? In a study that seeks to answer these questions, Vogelstein and his colleagues present an unbiased assessment of the capacity of whole-genome sequencing to provide clinically relevant information assuming that future research will allow us to understand the significance of every genetic variant. Using previously published data on twins and a new mathematical framework, Vogelstein and his co-workers were able to estimate the maximum capacity of whole-genome sequencing to predict the risk for 24 relatively common diseases. They show that most of the tested individuals could be alerted to a predisposition to at least one disease. However, in any given individual, whole-genome sequencing will be relatively uninformative for most diseases, because the estimated risk of developing these diseases will be similar to that of the general population. Thus, for most patients, genetic testing will not be the dominant determinant of patient care and will not be a substitute for preventative medicine strategies incorporating routine checkups and risk management based on the history, physical status, and life-style of the individual. New DNA sequencing methods will soon make it possible to identify all germline variants in any individual at a reasonable cost. However, the ability of whole-genome sequencing to predict predisposition to common diseases in the general population is unknown. To estimate this predictive capacity, we use the concept of a “genometype.” A specific genometype represents the genomes in the population conferring a specific level of genetic risk for a specified disease. Using this concept, we estimated the maximum capacity of whole-genome sequencing to identify individuals at clinically significant risk for 24 different diseases. Our estimates were derived from the analysis of large numbers of monozygotic twin pairs; twins of a pair share the same genometype and therefore identical genetic risk factors. Our analyses indicate that (i) for 23 of the 24 diseases, most of the individuals will receive negative test results; (ii) these negative test results will, in general, not be very informative, because the risk of developing 19 of the 24 diseases in those who test negative will still be, at minimum, 50 to 80% of that in the general population; and (iii) on the positive side, in the best-case scenario, more than 90% of tested individuals might be alerted to a clinically significant predisposition to at least one disease. These results have important implications for the valuation of genetic testing by industry, health insurance companies, public policy-makers, and consumers.
The Journal of Clinical Endocrinology and Metabolism | 2013
Nishant Agrawal; Yuchen Jiao; Mark Sausen; Rebecca J. Leary; Chetan Bettegowda; Nicholas J. Roberts; Sheetal Bhan; Allen S. Ho; Zubair Khan; Justin A. Bishop; William H. Westra; Laura D. Wood; Ralph H. Hruban; Ralph P. Tufano; Bruce G. Robinson; Henning Dralle; Sergio P. A. Toledo; Rodrigo A. Toledo; Luc G. T. Morris; Ronald Ghossein; James A. Fagin; Timothy A. Chan; Victor E. Velculescu; Bert Vogelstein; Kenneth W. Kinzler; Nickolas Papadopoulos; Barry D. Nelkin; Douglas W. Ball
CONTEXT Medullary thyroid cancer (MTC) is a rare thyroid cancer that can occur sporadically or as part of a hereditary syndrome. OBJECTIVE To explore the genetic origin of MTC, we sequenced the protein coding exons of approximately 21,000 genes in 17 sporadic MTCs. PATIENTS AND DESIGN We sequenced the exomes of 17 sporadic MTCs and validated the frequency of all recurrently mutated genes and other genes of interest in an independent cohort of 40 MTCs comprised of both sporadic and hereditary MTC. RESULTS We discovered 305 high-confidence mutations in the 17 sporadic MTCs in the discovery phase, or approximately 17.9 somatic mutations per tumor. Mutations in RET, HRAS, and KRAS genes were identified as the principal driver mutations in MTC. All of the other additional somatic mutations, including mutations in spliceosome and DNA repair pathways, were not recurrent in additional tumors. Tumors without RET, HRAS, or KRAS mutations appeared to have significantly fewer mutations overall in protein coding exons. CONCLUSIONS Approximately 90% of MTCs had mutually exclusive mutations in RET, HRAS, and KRAS, suggesting that RET and RAS are the predominant driver pathways in MTC. Relatively few mutations overall and no commonly recurrent driver mutations other than RET, HRAS, and KRAS were seen in the MTC exome.
Cancer Discovery | 2016
Nicholas J. Roberts; Alexis L. Norris; Gloria M. Petersen; Melissa L. Bondy; Randall E. Brand; Steven Gallinger; Robert C. Kurtz; Sara H. Olson; Anil K. Rustgi; Ann G. Schwartz; Elena M. Stoffel; Sapna Syngal; George Zogopoulos; Syed Z. Ali; Jennifer E. Axilbund; Kari G. Chaffee; Yun-Ching Chen; Michele L. Cote; Erica J. Childs; Christopher Douville; Fernando S. Goes; Joseph M. Herman; Christine A. Iacobuzio-Donahue; Melissa Kramer; Alvin Makohon-Moore; Richard McCombie; K. Wyatt McMahon; Noushin Niknafs; Jennifer Parla; Mehdi Pirooznia
UNLABELLED Pancreatic cancer is projected to become the second leading cause of cancer-related death in the United States by 2020. A familial aggregation of pancreatic cancer has been established, but the cause of this aggregation in most families is unknown. To determine the genetic basis of susceptibility in these families, we sequenced the germline genomes of 638 patients with familial pancreatic cancer and the tumor exomes of 39 familial pancreatic adenocarcinomas. Our analyses support the role of previously identified familial pancreatic cancer susceptibility genes such as BRCA2, CDKN2A, and ATM, and identify novel candidate genes harboring rare, deleterious germline variants for further characterization. We also show how somatic point mutations that occur during hematopoiesis can affect the interpretation of genome-wide studies of hereditary traits. Our observations have important implications for the etiology of pancreatic cancer and for the identification of susceptibility genes in other common cancer types. SIGNIFICANCE The genetic basis of disease susceptibility in the majority of patients with familial pancreatic cancer is unknown. We whole genome sequenced 638 patients with familial pancreatic cancer and demonstrate that the genetic underpinning of inherited pancreatic cancer is highly heterogeneous. This has significant implications for the management of patients with familial pancreatic cancer.
Genetics in Medicine | 2015
David B. Zhen; Kari G. Rabe; Steven Gallinger; Sapna Syngal; Ann G. Schwartz; Michael Goggins; Ralph H. Hruban; Michele L. Cote; Robert R. McWilliams; Nicholas J. Roberts; Lisa A. Cannon-Albright; Donghui Li; Kelsey Moyes; Richard J. Wenstrup; Anne Renee Hartman; Daniela Seminara; Alison P. Klein; Gloria M. Petersen
Purpose:Familial pancreatic cancer kindreds contain at least two affected first-degree relatives. Comprehensive data are needed to assist clinical risk assessment and genetic testing.Methods:Germ-line DNA samples from 727 unrelated probands with positive family history (521 met criteria for familial pancreatic cancer) were tested in compliance with the Clinical Laboratory Improvement Amendments for mutations in BRCA1 and BRCA2 (including analysis of deletions and rearrangements), PALB2, and CDKN2A. We compared prevalence of deleterious mutations between familial pancreatic cancer probands and nonfamilial pancreatic cancer probands (kindreds containing at least two affected biological relatives, but not first-degree relatives). We also examined the impact of family history on breast and ovarian cancers and melanoma.Results:Prevalence of deleterious mutations (excluding variants of unknown significance) among familial pancreatic cancer probands was: BRCA1, 1.2%; BRCA2, 3.7%; PALB2, 0.6%; and CDKN2A, 2.5%. Four novel deleterious mutations were detected. Familial pancreatic cancer probands carry more mutations in the four genes (8.0%) than nonfamilial pancreatic cancer probands (3.5%) (odds ratio: 2.40; 95% confidence interval: 1.06−5.44; P = 0.03). The probability of testing positive for deleterious mutations in any of the four genes ranges up to 10.4%, depending on family history of cancers. BRCA2 and CDKN2A account for the majority of mutations in familial pancreatic cancer.Conclusion:Genetic testing of multiple relevant genes in probands with a positive family history is warranted, particularly for familial pancreatic cancer.Genet Med 17 7, 569–577.
Gastroenterology | 2016
Ana I. Robles; Giovanni Traverso; Ming Zhang; Nicholas J. Roberts; Mohammed A. Khan; Christine Joseph; Gregory Y. Lauwers; Florin M. Selaru; Maria Popoli; Meredith E. Pittman; Xiquan Ke; Ralph H. Hruban; Stephen J. Meltzer; Kenneth W. Kinzler; Bert Vogelstein; Curtis C. Harris; Nickolas Papadopoulos
BACKGROUND & AIMS A long duration of inflammatory bowel disease (IBD) increases the risk for colorectal cancer. Mutation analysis of limited numbers of genes has indicated that colorectal tumors that develop in patients with IBD differ from those of patients without IBD. We performed whole-exome sequencing analyses to characterize the genetic landscape of these tumors. METHODS We collected colorectal tumor and non-neoplastic tissues from 31 patients with IBD and colorectal cancer (15 with ulcerative colitis, 14 with Crohns disease, and 2 with indeterminate colitis) and performed whole-exome sequencing analyses of the microdissected tumor and matched nontumor tissues. We identified somatic alterations by comparing matched specimens. The prevalence of mutations in sporadic colorectal tumors was obtained from previously published exome-sequencing studies. RESULTS Two specimens had somatic mutations in the DNA proofreading or mismatch repair genes POLE, MLH1, and MSH6 and the tumor cells had a hypermutable phenotype. The remaining tumors had, on average, 71 alterations per sample. TP53 was the most commonly mutated gene, with prevalence similar to that of sporadic colorectal tumors (63% of cases). However, tumors from the patients with IBD had a different mutation spectrum. APC and KRAS were mutated at significantly lower rates in tumors from patients with IBD than in sporadic colorectal tumors (13% and 20% of cases, respectively). Several genes were mutated more frequently or uniquely in tumors from patients with IBD, including SOX9 and EP300 (which encode proteins in the WNT pathway), NRG1 (which encodes an ERBB ligand), and IL16 (which encodes a cytokine). Our study also revealed recurrent mutations in components of the Rho and Rac GTPase network, indicating a role for noncanonical WNT signaling in development of colorectal tumors in patients with IBD. CONCLUSIONS Colorectal tumors that develop in patients with IBD have distinct genetic features from sporadic colorectal tumors. These findings could be used to develop disease-specific markers for diagnosis and treatment of patients with IBD and colorectal cancer.
Journal of Clinical Oncology | 2017
Koji Shindo; Jun Yu; Masaya Suenaga; Shahriar Fesharakizadeh; Christy Cho; Anne Macgregor-Das; Abdulrehman Siddiqui; P. Dane Witmer; Koji Tamura; Tae Jun Song; Jose Alejandro Almario; Aaron Brant; Michael Borges; Madeline Ford; Thomas Barkley; Jin He; Matthew J. Weiss; Christopher L. Wolfgang; Nicholas J. Roberts; Ralph H. Hruban; Alison P. Klein; Michael Goggins
Purpose Deleterious germline mutations contribute to pancreatic cancer susceptibility and are well documented in families in which multiple members have had pancreatic cancer. Methods To define the prevalence of these germline mutations in patients with apparently sporadic pancreatic cancer, we sequenced 32 genes, including known pancreatic cancer susceptibility genes, in DNA prepared from normal tissue obtained from 854 patients with pancreatic ductal adenocarcinoma, 288 patients with other pancreatic and periampullary neoplasms, and 51 patients with non-neoplastic diseases who underwent pancreatic resection at Johns Hopkins Hospital between 2000 and 2015. Results Thirty-three (3.9%; 95% CI, 3.0% to 5.8%) of 854 patients with pancreatic cancer had a deleterious germline mutation, 31 (3.5%) of which affected known familial pancreatic cancer susceptibility genes: BRCA2 (12 patients), ATM (10 patients), BRCA1 (3 patients), PALB2 (2 patients), MLH1 (2 patients), CDKN2A (1 patient), and TP53 (1 patient). Patients with these germline mutations were younger than those without (mean ± SD, 60.8 ± 10.6 v 65.1 ± 10.5 years; P = .03). Deleterious germline mutations were also found in BUB1B (1) and BUB3 (1). Only three of these 33 patients had reported a family history of pancreatic cancer, and most did not have a cancer family history to suggest an inherited cancer syndrome. Five (1.7%) of 288 patients with other periampullary neoplasms also had a deleterious germline mutation. Conclusion Germline mutations in pancreatic cancer susceptibility genes are commonly identified in patients with pancreatic cancer without a significant family history of cancer. These deleterious pancreatic cancer susceptibility gene mutations, some of which are therapeutically targetable, will be missed if current family history guidelines are the main criteria used to determine the appropriateness of gene testing.
Cancer Letters | 2013
Nicholas J. Roberts; Alison P. Klein
Advances in our understanding of the human genome and next-generation technologies have facilitated the use of genome-wide sequencing to decipher the genetic basis of Mendelian disease and hereditary cancer syndromes. However, the application of genome-wide sequencing in hereditary cancer syndromes has had mixed success, in part, due to complex nature of the underlying genetic architecture. In this review we discuss the use of genome-wide sequencing in both Mendelian diseases and hereditary cancer syndromes, highlighting the potential and challenges of this approach using familial pancreatic cancer as an example.
Genes and Diseases | 2016
Verena Staedtke; Nicholas J. Roberts; Ren Yuan Bai; Shibin Zhou
The attenuated anaerobic bacterium Clostridium novyi-NT (C. novyi-NT) is known for its ability to precisely germinate in and eradicate treatment-resistant hypoxic tumors in various experimental animal models and spontaneously occurring canine sarcomas. In this article, we review the therapeutic and toxicologic aspects of C. novyi-NT therapy, key challenges and limitations, and promising strategies to optimize its performance via recombinant DNA technology and immunotherapeutic approaches, to establish C. novyi-NT as an essential tool in cancer therapy.
Gut | 2018
Matthäus Felsenstein; Michaël Noë; David L. Masica; Waki Hosoda; Peter Chianchiano; Catherine G. Fischer; Gemma Lionheart; Lodewijk A.A. Brosens; Antonio Pea; Jun Yu; Georgios Gemenetzis; Vincent P. Groot; Martin A. Makary; Jin He; Matthew J. Weiss; John L. Cameron; Christopher L. Wolfgang; Ralph H. Hruban; Nicholas J. Roberts; Rachel Karchin; Michael Goggins; Laura D. Wood
Objective Intraductal papillary mucinous neoplasms (IPMNs) are precursor lesions that can give rise to invasive pancreatic carcinoma. Although approximately 8% of patients with resected pancreatic ductal adenocarcinoma have a co-occurring IPMN, the precise genetic relationship between these two lesions has not been systematically investigated. Design We analysed all available patients with co-occurring IPMN and invasive intrapancreatic carcinoma over a 10-year period at a single institution. For each patient, we separately isolated DNA from the carcinoma, adjacent IPMN and distant IPMN and performed targeted next generation sequencing of a panel of pancreatic cancer driver genes. We then used the identified mutations to infer the relatedness of the IPMN and co-occurring invasive carcinoma in each patient. Results We analysed co-occurring IPMN and invasive carcinoma from 61 patients with IPMN/ductal adenocarcinoma as well as 13 patients with IPMN/colloid carcinoma and 7 patients with IPMN/carcinoma of the ampullary region. Of the patients with co-occurring IPMN and ductal adenocarcinoma, 51% were likely related. Surprisingly, 18% of co-occurring IPMN and ductal adenocarcinomas were likely independent, suggesting that the carcinoma arose from an independent precursor. By contrast, all colloid carcinomas were likely related to their associated IPMNs. In addition, these analyses showed striking genetic heterogeneity in IPMNs, even with respect to well-characterised driver genes. Conclusion This study demonstrates a higher prevalence of likely independent co-occurring IPMN and ductal adenocarcinoma than previously appreciated. These findings have important implications for molecular risk stratification of patients with IPMN.