Spencer Knight
Johns Hopkins University
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Spencer Knight.
Nature | 2016
Alexandra East-Seletsky; Mitchell R. O’Connell; Spencer Knight; David Burstein; Jamie H. D. Cate; Robert Tjian; Jennifer A. Doudna
Bacterial adaptive immune systems use CRISPRs (clustered regularly interspaced short palindromic repeats) and CRISPR-associated (Cas) proteins for RNA-guided nucleic acid cleavage. Although most prokaryotic adaptive immune systems generally target DNA substrates, type III and VI CRISPR systems direct interference complexes against single-stranded RNA substrates. In type VI systems, the single-subunit C2c2 protein functions as an RNA-guided RNA endonuclease (RNase). How this enzyme acquires mature CRISPR RNAs (crRNAs) that are essential for immune surveillance and how it carries out crRNA-mediated RNA cleavage remain unclear. Here we show that bacterial C2c2 possesses a unique RNase activity responsible for CRISPR RNA maturation that is distinct from its RNA-activated single-stranded RNA degradation activity. These dual RNase functions are chemically and mechanistically different from each other and from the crRNA-processing behaviour of the evolutionarily unrelated CRISPR enzyme Cpf1 (ref. 11). The two RNase activities of C2c2 enable multiplexed processing and loading of guide RNAs that in turn allow sensitive detection of cellular transcripts.
Gut | 2013
Mitsuro Kanda; Spencer Knight; Mark Topazian; Sapna Syngal; James J. Farrell; Jeffrey H. Lee; Ihab R. Kamel; Anne Marie Lennon; Michael Borges; Angela Young; Sho Fujiwara; Junro Seike; James R. Eshleman; Ralph H. Hruban; Marcia I. Canto; Michael Goggins
Objective Pancreatic cysts are commonly detected in patients undergoing pancreatic imaging. Better approaches are needed to characterise these lesions. In this study we evaluated the utility of detecting mutant DNA in secretin-stimulated pancreatic juice. Design Secretin-stimulated pancreatic juice was collected from the duodenum of 291 subjects enrolled in Cancer of the Pancreas Screening trials at five US academic medical centres. The study population included subjects with a familial predisposition to pancreatic cancer who underwent pancreatic screening, and disease controls with normal pancreata, chronic pancreatitis, sporadic intraductal papillary mucinous neoplasm (IPMN) or other neoplasms. Somatic GNAS mutations (reported prevalence ∼66% of IPMNs) were measured using digital high-resolution melt-curve analysis and pyrosequencing. Results GNAS mutations were detected in secretin-stimulated pancreatic juice samples of 50 of 78 familial and sporadic cases of IPMN(s) (64.1%), 15 of 33 (45.5%) with only diminutive cysts (<5 mm), but none of 57 disease controls. GNAS mutations were also detected in five of 123 screened subjects without a pancreatic cyst. Among 97 subjects who had serial pancreatic evaluations, GNAS mutations detected in baseline juice samples predicted subsequent emergence or increasing size of pancreatic cysts. Conclusion Duodenal collections of secretin-stimulated pancreatic juice from patients with IPMNs have a similar prevalence of mutant GNAS to primary IPMNs, indicating that these samples are an excellent source of mutant DNA from the pancreas. The detection of GNAS mutations before an IPMN is visible suggests that analysis of pancreatic juice has the potential to help in the risk stratification and surveillance of patients undergoing pancreatic screening.
Clinical Gastroenterology and Hepatology | 2013
Mitsuro Kanda; Yoshihiko Sadakari; Michael Borges; Mark Topazian; James J. Farrell; Sapna Syngal; Jeffrey E. Lee; Ihab R. Kamel; Anne Marie Lennon; Spencer Knight; Sho Fujiwara; Ralph H. Hruban; Marcia I. Canto; Michael Goggins
BACKGROUND & AIMS Imaging tests can identify patients with pancreatic neoplastic cysts but not microscopic dysplasia. We investigated whether mutant TP53 can be detected in duodenal samples of secretin-stimulated pancreatic juice, and whether this assay can be used to screen for high-grade dysplasia and invasive pancreatic cancer. METHODS We determined the prevalence of mutant TP53 in microdissected pancreatic intraepithelial neoplasias (PanINs), intraductal papillary mucinous neoplasms (IPMNs), and invasive adenocarcinomas. TP53 mutations were quantified by digital high-resolution melt-curve analysis and sequencing of secretin-stimulated pancreatic juice samples, collected from duodena of 180 subjects enrolled in Cancer of the Pancreas Screening trials; patients were enrolled because of familial and/or inherited predisposition to pancreatic cancer, or as controls. RESULTS TP53 mutations were identified in 9.1% of intermediate-grade IPMNs (2 of 22), 17.8% of PanIN-2 (8 of 45), 38.1% of high-grade IPMNs (8 of 21), 47.6% of PanIN-3 (10 of 21), and 75% of invasive pancreatic adenocarcinomas (15 of 20); no TP53 mutations were found in PanIN-1 lesions or low-grade IPMNs. TP53 mutations were detected in duodenal samples of pancreatic juice from 29 of 43 patients with pancreatic ductal adenocarcinoma (67.4% sensitivity; 95% confidence interval, 0.52-0.80) and 4 of 8 patients with high-grade lesions (PanIN-3 and high-grade IPMN). No TP53 mutations were identified in samples from 58 controls or 55 screened individuals without evidence of advanced lesions. CONCLUSIONS We detected mutant TP53 in secretin-stimulated pancreatic juice samples collected from duodena of patients with high-grade dysplasia or invasive pancreatic cancer. Tests for mutant TP53 might be developed to improve the diagnosis of and screening for pancreatic cancer and high-grade dysplasia. Clinical Trial numbers: NCT00438906 and NCT00714701.
Clinical Cancer Research | 2012
Seung-Mo Hong; Noriyuki Omura; Audrey Vincent; Ang Li; Spencer Knight; Jun Yu; Ralph H. Hruban; Michael Goggins
Purpose: Intraductal papillary mucinous neoplasms (IPMN) are precursors to infiltrating pancreatic ductal adenocarcinomas. Widespread epigenetic alterations are characteristic of many cancers, yet few studies have systematically analyzed epigenetic alterations of neoplastic precursors. Our goal was to conduct genome-wide CpG island methylation profiling to identify aberrantly methylated loci in IPMNs. Experimental Design: We compared the CpG island methylation profiles of six IPMNs to normal primary pancreatic duct samples using methylation CpG island amplification (MCA) and Agilent CpG island microarray (MCAM) analysis. When selected 13 genes identified as differentially methylated by MCAM for methylation-specific PCR (MSP) analysis in an independent set of IPMNs and normal pancreas samples and conducted expression analysis of selected genes. Results: We identified 2,259 loci as differentially methylated in at least one of six IPMNs including 245 genes hypermethylated in IPMNs with high-grade dysplasia compared with normal pancreatic duct samples. Eleven of 13 genes evaluated by MSP were more commonly methylated in 61 IPMNs than in 43 normal pancreas samples. Several genes (BNIP3, PTCHD2, SOX17, NXPH1, EBF3) were significantly more likely to be methylated in IPMNs with high-grade than with low-grade dysplasia. One gene, SOX17, showed loss of protein expression by immunohistochemistry in 22% (19 of 88) of IPMNs. The most specific marker, BNIP3, was not methylated in any IPMNs with low-grade dysplasia or in normal pancreas samples. Conclusions: IPMNs undergo extensive aberrant CpG island hypermethylation. The detection of genes selectively methylated in high-grade IPMNs such as BNIP3 may have use in the clinical evaluation of IPMNs. Clin Cancer Res; 18(3); 700–12. ©2011 AACR.
Clinical Cancer Research | 2014
Haeryoung Kim; Burcu Saka; Spencer Knight; Michael Borges; Erica J. Childs; Alison P. Klein; Christopher L. Wolfgang; Joseph M. Herman; Volkan Adsay; Ralph H. Hruban; Michael Goggins
Purpose: To determine how often loss of ataxia-telangiectasia–mutated (ATM) protein expression occurs in primary pancreatic ductal adenocarcinomas and to determine its prognostic significance. Experimental Design: The expression of ATM and TP53 was determined by immunohistochemistry in 397 surgically resected pancreatic ductal adenocarcinomas (Hopkins; Johns Hopkins Medical Institutions, Baltimore, MD), a second set of 159 cases (Emory; Emory University Hospital, Atlanta, GA), and 21 cancers after neoadjuvant chemoradiotherapy. Expression was correlated with the clinicopathologic parameters, including survival. Results: Tumoral ATM loss was observed in one cancer known to have biallelic inactivation of ATM and 50 of the first 396 (12.8%) cases, significantly more often in patients with a family history of pancreatic cancer (12/49; 24.5%) than in those without (38/347; 11.0%; P = 0.019). In the Hopkins series, ATM loss was associated with a significantly decreased overall survival in patients whose cancers had normal TP53 expression (P = 0.019) and was a significant independent predictor of decreased overall survival (P = 0.014). Seventeen (10.7%) of 159 Emory cases had tumoral ATM loss and tumoral ATM loss/normal TP53 was associated with poorer overall survival (P = 0.1). Multivariate analysis of the combined Hopkins/Emory cases found that tumoral ATM loss/normal TP53 was an independent predictor of decreased overall survival [HR = 2.61; confidence interval (CI), 1.27–5.37; P = 0.009]. Of 21 cancers examined after neoadjuvant chemoradiotherapy, one had tumoral loss of ATM; it had no histologic evidence of tumor response. Conclusions: Tumoral loss of ATM protein was detected more often in patients with a family history of pancreatic cancer than in those without. Patients whose pancreatic cancers had loss of ATM but normal TP53 had worse overall survival after pancreatic resection. Clin Cancer Res; 20(7); 1865–72. ©2014 AACR.
Journal of Clinical Pathology | 2014
Jin Roh; Spencer Knight; Joon-Yong Chung; Soo Heang Eo; Michael Goggins; Ji-Hoon Kim; Hyung Jun Cho; Eunsil Yu; Seung-Mo Hong
Aims Due to the rarity of small intestine adenocarcinoma (SIAC), estimating the prognosis for patients with surgically resected SIAC is difficult. Overexpression of S100A4 has been linked to worse patient survival in several malignant neoplasms, but its significance in SIAC has not been determined. Methods S100A4 protein expression was assessed in 197 surgically resected SIAC cases and compared with clinicopathological factors, including patient survival. Results A progressive increase in S100A4 labelling was observed in normal intestinal epithelium, adenoma and adenocarcinoma (p<0.001), and 50 SIAC cases (26.2%) showed strong S100A4 expression. Patients with SIAC with strong S100A4 expression had a higher pT classification (p=0.05), as well as increased lymph node metastasis (p=0.009) and perineural invasion (p=0.002). Patients with SIAC with strong S100A4 expression had significantly worse survival (median survival, 21 months) than those with weak/no S100A4 expression (42.5 months) by univariable (p=0.04) and multivariable (p=0.01) analyses. Conclusions S100A4 overexpression is observed in a subset of SIACs, is associated with advanced disease and can be used as a prognostic indicator of poor prognosis in patients with SIAC.
Nature | 2013
Pedro A. Pérez-Mancera; Alistair G. Rust; Louise van der Weyden; Glen Kristiansen; Allen Li; Aaron L. Sarver; Kevin A. T. Silverstein; Robert Grützmann; Daniela Aust; Petra Rümmele; Thomas Knösel; Colin Herd; Derek L. Stemple; Ross Kettleborough; Jacqueline A. Brosnan; Ang Li; Richard A. Morgan; Spencer Knight; Jun Yu; Shane Stegeman; Lara S. Collier; Jelle ten Hoeve; Jeroen de Ridder; Alison P. Klein; Michael Goggins; Ralph H. Hruban; David K. Chang; Andrew V. Biankin; Sean M. Grimmond; Lodewyk F. A. Wessels
This corrects the article DOI: 10.1038/nature11114
Nature | 2013
Pedro A. Pérez-Mancera; Alistair G. Rust; Louise van der Weyden; Glen Kristiansen; Allen Li; Aaron L. Sarver; Kevin A. T. Silverstein; Robert Grützmann; Daniela Aust; Petra Rümmele; Thomas Knösel; Colin Herd; Derek L. Stemple; Ross Kettleborough; Jacqueline A. Brosnan; Ang Li; Richard A. Morgan; Spencer Knight; Jun Yu; Shane Stegeman; Lara S. Collier; Jelle ten Hoeve; Jeroen de Ridder; Alison P. Klein; Michael Goggins; Ralph H. Hruban; David K. Chang; Andrew V. Biankin; Sean M. Grimmond; Lodewyk F. A. Wessels
This corrects the article DOI: 10.1038/nature11114
Nature | 2013
Pedro A. Pérez-Mancera; Alistair G. Rust; Louise van der Weyden; Glen Kristiansen; Allen Li; Aaron L. Sarver; Kevin A. T. Silverstein; Robert Grützmann; Daniela Aust; Petra Rümmele; Thomas Knösel; Colin Herd; Derek L. Stemple; Ross Kettleborough; Jacqueline A. Brosnan; Ang Li; Richard A. Morgan; Spencer Knight; Jun Yu; Shane Stegeman; Lara S. Collier; Jelle ten Hoeve; Jeroen de Ridder; Alison P. Klein; Michael Goggins; Ralph H. Hruban; David K. Chang; Andrew V. Biankin; Sean M. Grimmond; Lodewyk F. A. Wessels
This corrects the article DOI: 10.1038/nature11114
Oncotarget | 2014
Audrey Vincent; Seung-Mo Hong; Chaoxin Hu; Noriyuki Omura; Angela Young; Haeryoung Kim; Jun Yu; Spencer Knight; Michael Ayars; Margaret Griffith; Isabelle Van Seuningen; Anirban Maitra; Michael Goggins