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Pancreatic Neoplasms: HELP
Articles by Lakshmi B. Muthuswamy
Based on 4 articles published since 2009
(Why 4 articles?)

Between 2009 and 2019, Lakshmi Muthuswamy wrote the following 4 articles about Pancreatic Neoplasms.
+ Citations + Abstracts
1 Article Ductal pancreatic cancer modeling and drug screening using human pluripotent stem cell- and patient-derived tumor organoids. 2015

Huang, Ling / Holtzinger, Audrey / Jagan, Ishaan / BeGora, Michael / Lohse, Ines / Ngai, Nicholas / Nostro, Cristina / Wang, Rennian / Muthuswamy, Lakshmi B / Crawford, Howard C / Arrowsmith, Cheryl / Kalloger, Steve E / Renouf, Daniel J / Connor, Ashton A / Cleary, Sean / Schaeffer, David F / Roehrl, Michael / Tsao, Ming-Sound / Gallinger, Steven / Keller, Gordon / Muthuswamy, Senthil K. ·Princess Margaret Cancer Center, University Health Network (UHN), University of Toronto, Toronto, Ontario, Canada. · McEwen Center for Regenerative Medicine, University Health Network, Toronto, Ontario, Canada. · Department of Physiology, Western University, London, Ontario, Canada. · Department of Pharmacology, Western University, London, Ontario, Canada. · Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, Michigan. · Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan. · Structural Genomics Consortium, Toronto, Ontario, Canada. · Division of Anatomic Pathology, Vancouver General Hospital, Vancouver, British Columbia, Canada. · Department of Medicine, The University of British Columbia, Vancouver, British Columbia, Canada. · Pancreas Centre British Columbia, Vancouver, British Columbia, Canada. · Division of Medical Oncology, British Columbia Cancer Agency, Vancouver, British Columbia, Canada. · Division of General Surgery, University of Toronto, Toronto, Ontario, Canada. · Department of Pathology, University Health Network, Toronto, Ontario, Canada. ·Nat Med · Pubmed #26501191.

ABSTRACT: There are few in vitro models of exocrine pancreas development and primary human pancreatic adenocarcinoma (PDAC). We establish three-dimensional culture conditions to induce the differentiation of human pluripotent stem cells into exocrine progenitor organoids that form ductal and acinar structures in culture and in vivo. Expression of mutant KRAS or TP53 in progenitor organoids induces mutation-specific phenotypes in culture and in vivo. Expression of TP53(R175H) induces cytosolic SOX9 localization. In patient tumors bearing TP53 mutations, SOX9 was cytoplasmic and associated with mortality. We also define culture conditions for clonal generation of tumor organoids from freshly resected PDAC. Tumor organoids maintain the differentiation status, histoarchitecture and phenotypic heterogeneity of the primary tumor and retain patient-specific physiological changes, including hypoxia, oxygen consumption, epigenetic marks and differences in sensitivity to inhibition of the histone methyltransferase EZH2. Thus, pancreatic progenitor organoids and tumor organoids can be used to model PDAC and for drug screening to identify precision therapy strategies.

2 Article WaveCNV: allele-specific copy number alterations in primary tumors and xenograft models from next-generation sequencing. 2014

Holt, Carson / Losic, Bojan / Pai, Deepa / Zhao, Zhen / Trinh, Quang / Syam, Sujata / Arshadi, Niloofar / Jang, Gun Ho / Ali, Johar / Beck, Tim / McPherson, John / Muthuswamy, Lakshmi B. ·Ontario Institute for Cancer Research, Toronto, ON, M5G 0A3, Canada and Department of Medical Biophysics, University of Toronto, Toronto, ON, M5G 2M9, Canada. ·Bioinformatics · Pubmed #24192544.

ABSTRACT: MOTIVATION: Copy number variations (CNVs) are a major source of genomic variability and are especially significant in cancer. Until recently microarray technologies have been used to characterize CNVs in genomes. However, advances in next-generation sequencing technology offer significant opportunities to deduce copy number directly from genome sequencing data. Unfortunately cancer genomes differ from normal genomes in several aspects that make them far less amenable to copy number detection. For example, cancer genomes are often aneuploid and an admixture of diploid/non-tumor cell fractions. Also patient-derived xenograft models can be laden with mouse contamination that strongly affects accurate assignment of copy number. Hence, there is a need to develop analytical tools that can take into account cancer-specific parameters for detecting CNVs directly from genome sequencing data. RESULTS: We have developed WaveCNV, a software package to identify copy number alterations by detecting breakpoints of CNVs using translation-invariant discrete wavelet transforms and assign digitized copy numbers to each event using next-generation sequencing data. We also assign alleles specifying the chromosomal ratio following duplication/loss. We verified copy number calls using both microarray (correlation coefficient 0.97) and quantitative polymerase chain reaction (correlation coefficient 0.94) and found them to be highly concordant. We demonstrate its utility in pancreatic primary and xenograft sequencing data. AVAILABILITY AND IMPLEMENTATION: Source code and executables are available at https://github.com/WaveCNV. The segmentation algorithm is implemented in MATLAB, and copy number assignment is implemented Perl. CONTACT: lakshmi.muthuswamy@gmail.com SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

3 Article Integrated genomic, transcriptomic, and RNA-interference analysis of genes in somatic copy number gains in pancreatic ductal adenocarcinoma. 2013

Samuel, Nardin / Sayad, Azin / Wilson, Gavin / Lemire, Mathieu / Brown, Kevin R / Muthuswamy, Lakshmi / Hudson, Thomas J / Moffat, Jason. ·Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada. ·Pancreas · Pubmed #23851435.

ABSTRACT: OBJECTIVES: This study used an integrated analysis of copy number, gene expression, and RNA interference screens for identification of putative driver genes harbored in somatic copy number gains in pancreatic ductal adenocarcinoma (PDAC). METHODS: Somatic copy number gain data on 60 PDAC genomes were extracted from public data sets to identify genomic loci that are recurrently gained. Array-based data from a panel of 29 human PDAC cell lines were used to quantify associations between copy number and gene expression for the set of genes found in somatic copy number gains. The most highly correlated genes were assessed in a compendium of pooled short hairpin RNA screens on 27 of the same human PDAC cell lines. RESULTS: A catalog of 710 protein-coding and 46 RNA genes mapping to 20 recurrently gained genomic loci were identified. The gene set was further refined through stringent integration of copy number, gene expression, and RNA interference screening data to uncover 34 candidate driver genes. CONCLUSIONS: Among the candidate genes from the integrative analysis, ECT2 was found to have significantly higher essentiality in specific PDAC cell lines with genomic gains at the 3q26.3 locus, which harbors this gene, suggesting that ECT2 may play an oncogenic role in the PDAC neoplastic process.

4 Article Pancreatic cancer genomes reveal aberrations in axon guidance pathway genes. 2012

Biankin, Andrew V / Waddell, Nicola / Kassahn, Karin S / Gingras, Marie-Claude / Muthuswamy, Lakshmi B / Johns, Amber L / Miller, David K / Wilson, Peter J / Patch, Ann-Marie / Wu, Jianmin / Chang, David K / Cowley, Mark J / Gardiner, Brooke B / Song, Sarah / Harliwong, Ivon / Idrisoglu, Senel / Nourse, Craig / Nourbakhsh, Ehsan / Manning, Suzanne / Wani, Shivangi / Gongora, Milena / Pajic, Marina / Scarlett, Christopher J / Gill, Anthony J / Pinho, Andreia V / Rooman, Ilse / Anderson, Matthew / Holmes, Oliver / Leonard, Conrad / Taylor, Darrin / Wood, Scott / Xu, Qinying / Nones, Katia / Fink, J Lynn / Christ, Angelika / Bruxner, Tim / Cloonan, Nicole / Kolle, Gabriel / Newell, Felicity / Pinese, Mark / Mead, R Scott / Humphris, Jeremy L / Kaplan, Warren / Jones, Marc D / Colvin, Emily K / Nagrial, Adnan M / Humphrey, Emily S / Chou, Angela / Chin, Venessa T / Chantrill, Lorraine A / Mawson, Amanda / Samra, Jaswinder S / Kench, James G / Lovell, Jessica A / Daly, Roger J / Merrett, Neil D / Toon, Christopher / Epari, Krishna / Nguyen, Nam Q / Barbour, Andrew / Zeps, Nikolajs / Anonymous1421514 / Kakkar, Nipun / Zhao, Fengmei / Wu, Yuan Qing / Wang, Min / Muzny, Donna M / Fisher, William E / Brunicardi, F Charles / Hodges, Sally E / Reid, Jeffrey G / Drummond, Jennifer / Chang, Kyle / Han, Yi / Lewis, Lora R / Dinh, Huyen / Buhay, Christian J / Beck, Timothy / Timms, Lee / Sam, Michelle / Begley, Kimberly / Brown, Andrew / Pai, Deepa / Panchal, Ami / Buchner, Nicholas / De Borja, Richard / Denroche, Robert E / Yung, Christina K / Serra, Stefano / Onetto, Nicole / Mukhopadhyay, Debabrata / Tsao, Ming-Sound / Shaw, Patricia A / Petersen, Gloria M / Gallinger, Steven / Hruban, Ralph H / Maitra, Anirban / Iacobuzio-Donahue, Christine A / Schulick, Richard D / Wolfgang, Christopher L / Morgan, Richard A / Lawlor, Rita T / Capelli, Paola / Corbo, Vincenzo / Scardoni, Maria / Tortora, Giampaolo / Tempero, Margaret A / Mann, Karen M / Jenkins, Nancy A / Perez-Mancera, Pedro A / Adams, David J / Largaespada, David A / Wessels, Lodewyk F A / Rust, Alistair G / Stein, Lincoln D / Tuveson, David A / Copeland, Neal G / Musgrove, Elizabeth A / Scarpa, Aldo / Eshleman, James R / Hudson, Thomas J / Sutherland, Robert L / Wheeler, David A / Pearson, John V / McPherson, John D / Gibbs, Richard A / Grimmond, Sean M. ·The Kinghorn Cancer Centre, 370 Victoria Street, Darlinghurst, Sydney, New South Wales 2010, Australia. ·Nature · Pubmed #23103869.

ABSTRACT: Pancreatic cancer is a highly lethal malignancy with few effective therapies. We performed exome sequencing and copy number analysis to define genomic aberrations in a prospectively accrued clinical cohort (n = 142) of early (stage I and II) sporadic pancreatic ductal adenocarcinoma. Detailed analysis of 99 informative tumours identified substantial heterogeneity with 2,016 non-silent mutations and 1,628 copy-number variations. We define 16 significantly mutated genes, reaffirming known mutations (KRAS, TP53, CDKN2A, SMAD4, MLL3, TGFBR2, ARID1A and SF3B1), and uncover novel mutated genes including additional genes involved in chromatin modification (EPC1 and ARID2), DNA damage repair (ATM) and other mechanisms (ZIM2, MAP2K4, NALCN, SLC16A4 and MAGEA6). Integrative analysis with in vitro functional data and animal models provided supportive evidence for potential roles for these genetic aberrations in carcinogenesis. Pathway-based analysis of recurrently mutated genes recapitulated clustering in core signalling pathways in pancreatic ductal adenocarcinoma, and identified new mutated genes in each pathway. We also identified frequent and diverse somatic aberrations in genes described traditionally as embryonic regulators of axon guidance, particularly SLIT/ROBO signalling, which was also evident in murine Sleeping Beauty transposon-mediated somatic mutagenesis models of pancreatic cancer, providing further supportive evidence for the potential involvement of axon guidance genes in pancreatic carcinogenesis.