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Pancreatic Neoplasms: HELP
Articles by Nic Waddell
Based on 4 articles published since 2010
(Why 4 articles?)
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Between 2010 and 2020, Nic Waddell wrote the following 4 articles about Pancreatic Neoplasms.
 
+ Citations + Abstracts
1 Article Clinical and pathologic features of familial pancreatic cancer. 2014

Humphris, Jeremy L / Johns, Amber L / Simpson, Skye H / Cowley, Mark J / Pajic, Marina / Chang, David K / Nagrial, Adnan M / Chin, Venessa T / Chantrill, Lorraine A / Pinese, Mark / Mead, R Scott / Gill, Anthony J / Samra, Jaswinder S / Kench, James G / Musgrove, Elizabeth A / Tucker, Katherine M / Spigelman, Allan D / Waddell, Nic / Grimmond, Sean M / Biankin, Andrew V / Anonymous2030809. ·The Kinghorn Cancer Center, Cancer Research Program, Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia. ·Cancer · Pubmed #25313458.

ABSTRACT: BACKGROUND: Inherited predisposition to pancreatic cancer contributes significantly to its incidence and presents an opportunity for the development of early detection strategies. The genetic basis of predisposition remains unexplained in a high proportion of patients with familial PC (FPC). METHODS: Clinicopathologic features were assessed in a cohort of 766 patients who had been diagnosed with pancreatic ductal adenocarcinoma (PC). Patients were classified with FPC if they had ≥1 affected first-degree relatives; otherwise, they were classified with sporadic PC (SPC). RESULTS: The prevalence of FPC in this cohort was 8.9%. In FPC families with an affected parent-child pair, 71% in the subsequent generation were 12.3 years younger at diagnosis. Patients with FPC had more first-degree relatives who had an extrapancreatic malignancy (EPM) (42.6% vs 21.2; P<.0001), particularly melanoma and endometrial cancer, but not a personal history of EPM. Patients with SPC were more likely to be active smokers, have higher cumulative tobacco exposure, and have fewer multifocal precursor lesions, but these were not associated with differences in survival. Long-standing diabetes mellitus (>2 years) was associated with poor survival in both groups. CONCLUSIONS: FPC represents 9% of PC, and the risk of malignancy in kindred does not appear to be confined to the pancreas. Patients with FPC have more precursor lesions and include fewer active smokers, but other clinicopathologic factors and outcome are similar to those in patients with SPC. Furthermore, some FPC kindreds may exhibit anticipation. A better understanding of the clinical features of PC will facilitate efforts to uncover novel susceptibility genes and the development of early detection strategies.

2 Article A workflow to increase verification rate of chromosomal structural rearrangements using high-throughput next-generation sequencing. 2014

Quek, Kelly / Nones, Katia / Patch, Ann-Marie / Fink, J Lynn / Newell, Felicity / Cloonan, Nicole / Miller, David / Fadlullah, Muhammad Z H / Kassahn, Karin / Christ, Angelika N / Bruxner, Timothy J C / Manning, Suzanne / Harliwong, Ivon / Idrisoglu, Senel / Nourse, Craig / Nourbakhsh, Ehsan / Wani, Shivangi / Steptoe, Anita / Anderson, Matthew / Holmes, Oliver / Leonard, Conrad / Taylor, Darrin / Wood, Scott / Xu, Qinying / Anonymous6170799 / Wilson, Peter / Biankin, Andrew V / Pearson, John V / Waddell, Nic / Grimmond, Sean M. ·Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, University of Queensland, St Lucia, Brisbane, QLD, Australia. · The Kinghorn Cancer Centre, Cancer Research Program, Garvan Institute of Medical Research, Sydney, NSW, Australia; Department of Surgery, Bankstown Hospital, Sydney, NSW, Australia; South Western Sydney Clinical School, Faculty of Medicine, University of NSW, Liverpool, NSW, Australia; Wolfson Wohl Cancer Research Centre, Institute for Cancer Sciences, University of Glasgow, Glasgow, Scotland, United Kingdom. · Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, University of Queensland, St Lucia, Brisbane, QLD, Australia; Wolfson Wohl Cancer Research Centre, Institute for Cancer Sciences, University of Glasgow, Glasgow, Scotland, United Kingdom. ·Biotechniques · Pubmed #25005691.

ABSTRACT: Somatic rearrangements, which are commonly found in human cancer genomes, contribute to the progression and maintenance of cancers. Conventionally, the verification of somatic rearrangements comprises many manual steps and Sanger sequencing. This is labor intensive when verifying a large number of rearrangements in a large cohort. To increase the verification throughput, we devised a high-throughput workflow that utilizes benchtop next-generation sequencing and in-house bioinformatics tools to link the laboratory processes. In the proposed workflow, primers are automatically designed. PCR and an optional gel electrophoresis step to confirm the somatic nature of the rearrangements are performed. PCR products of somatic events are pooled for Ion Torrent PGM and/or Illumina MiSeq sequencing, the resulting sequence reads are assembled into consensus contigs by a consensus assembler, and an automated BLAT is used to resolve the breakpoints to base level. We compared sequences and breakpoints of verified somatic rearrangements between the conventional and high-throughput workflow. The results showed that next-generation sequencing methods are comparable to conventional Sanger sequencing. The identified breakpoints obtained from next-generation sequencing methods were highly accurate and reproducible. Furthermore, the proposed workflow allows hundreds of events to be processed in a shorter time frame compared with the conventional workflow.

3 Article Genome-wide DNA methylation patterns in pancreatic ductal adenocarcinoma reveal epigenetic deregulation of SLIT-ROBO, ITGA2 and MET signaling. 2014

Nones, Katia / Waddell, Nic / Song, Sarah / Patch, Ann-Marie / Miller, David / Johns, Amber / Wu, Jianmin / Kassahn, Karin S / Wood, David / Bailey, Peter / Fink, Lynn / Manning, Suzanne / Christ, Angelika N / Nourse, Craig / Kazakoff, Stephen / Taylor, Darrin / Leonard, Conrad / Chang, David K / Jones, Marc D / Thomas, Michelle / Watson, Clare / Pinese, Mark / Cowley, Mark / Rooman, Ilse / Pajic, Marina / Anonymous890784 / Butturini, Giovanni / Malpaga, Anna / Corbo, Vincenzo / Crippa, Stefano / Falconi, Massimo / Zamboni, Giuseppe / Castelli, Paola / Lawlor, Rita T / Gill, Anthony J / Scarpa, Aldo / Pearson, John V / Biankin, Andrew V / Grimmond, Sean M. ·Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, QLD, Australia. ·Int J Cancer · Pubmed #24500968.

ABSTRACT: The importance of epigenetic modifications such as DNA methylation in tumorigenesis is increasingly being appreciated. To define the genome-wide pattern of DNA methylation in pancreatic ductal adenocarcinomas (PDAC), we captured the methylation profiles of 167 untreated resected PDACs and compared them to a panel of 29 adjacent nontransformed pancreata using high-density arrays. A total of 11,634 CpG sites associated with 3,522 genes were significantly differentially methylated (DM) in PDAC and were capable of segregating PDAC from non-malignant pancreas, regardless of tumor cellularity. As expected, PDAC hypermethylation was most prevalent in the 5' region of genes (including the proximal promoter, 5'UTR and CpG islands). Approximately 33% DM genes showed significant inverse correlation with mRNA expression levels. Pathway analysis revealed an enrichment of aberrantly methylated genes involved in key molecular mechanisms important to PDAC: TGF-β, WNT, integrin signaling, cell adhesion, stellate cell activation and axon guidance. Given the recent discovery that SLIT-ROBO mutations play a clinically important role in PDAC, the role of epigenetic perturbation of axon guidance was pursued in more detail. Bisulfite amplicon deep sequencing and qRT-PCR expression analyses confirmed recurrent perturbation of axon guidance pathway genes SLIT2, SLIT3, ROBO1, ROBO3, ITGA2 and MET and suggests epigenetic suppression of SLIT-ROBO signaling and up-regulation of MET and ITGA2 expression. Hypomethylation of MET and ITGA2 correlated with high gene expression, which was associated with poor survival. These data suggest that aberrant methylation plays an important role in pancreatic carcinogenesis affecting core signaling pathways with potential implications for the disease pathophysiology and therapy.

4 Article qpure: A tool to estimate tumor cellularity from genome-wide single-nucleotide polymorphism profiles. 2012

Song, Sarah / Nones, Katia / Miller, David / Harliwong, Ivon / Kassahn, Karin S / Pinese, Mark / Pajic, Marina / Gill, Anthony J / Johns, Amber L / Anderson, Matthew / Holmes, Oliver / Leonard, Conrad / Taylor, Darrin / Wood, Scott / Xu, Qinying / Newell, Felicity / Cowley, Mark J / Wu, Jianmin / Wilson, Peter / Fink, Lynn / Biankin, Andrew V / Waddell, Nic / Grimmond, Sean M / Pearson, John V. ·Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, University of Queensland, St Lucia, Brisbane, Queensland, Australia. s.song@imb.uq.edu.au ·PLoS One · Pubmed #23049875.

ABSTRACT: Tumour cellularity, the relative proportion of tumour and normal cells in a sample, affects the sensitivity of mutation detection, copy number analysis, cancer gene expression and methylation profiling. Tumour cellularity is traditionally estimated by pathological review of sectioned specimens; however this method is both subjective and prone to error due to heterogeneity within lesions and cellularity differences between the sample viewed during pathological review and tissue used for research purposes. In this paper we describe a statistical model to estimate tumour cellularity from SNP array profiles of paired tumour and normal samples using shifts in SNP allele frequency at regions of loss of heterozygosity (LOH) in the tumour. We also provide qpure, a software implementation of the method. Our experiments showed that there is a medium correlation 0.42 ([Formula: see text]-value=0.0001) between tumor cellularity estimated by qpure and pathology review. Interestingly there is a high correlation 0.87 ([Formula: see text]-value [Formula: see text] 2.2e-16) between cellularity estimates by qpure and deep Ion Torrent sequencing of known somatic KRAS mutations; and a weaker correlation 0.32 ([Formula: see text]-value=0.004) between IonTorrent sequencing and pathology review. This suggests that qpure may be a more accurate predictor of tumour cellularity than pathology review. qpure can be downloaded from https://sourceforge.net/projects/qpure/.