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Dive into the research topics where Sohrab P. Shah is active.

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Featured researches published by Sohrab P. Shah.


Nature Genetics | 2010

Somatic mutations altering EZH2 (Tyr641) in follicular and diffuse large B-cell lymphomas of germinal-center origin

Ryan D. Morin; Nathalie A. Johnson; Tesa Severson; Andrew J. Mungall; Jianghong An; Rodrigo Goya; Jessica E. Paul; Merrill Boyle; Bruce Woolcock; Florian Kuchenbauer; Damian Yap; R. Keith Humphries; Obi L. Griffith; Sohrab P. Shah; Henry Zhu; Michelle Kimbara; Pavel Shashkin; Jean F Charlot; Marianna Tcherpakov; Richard Corbett; Angela Tam; Richard Varhol; Duane E. Smailus; Michelle Moksa; Yongjun Zhao; Allen Delaney; Hong Qian; Inanc Birol; Jacqueline E. Schein; Richard A. Moore

Follicular lymphoma (FL) and the GCB subtype of diffuse large B-cell lymphoma (DLBCL) derive from germinal center B cells. Targeted resequencing studies have revealed mutations in various genes encoding proteins in the NF-κB pathway that contribute to the activated B-cell (ABC) DLBCL subtype, but thus far few GCB-specific mutations have been identified. Here we report recurrent somatic mutations affecting the polycomb-group oncogene EZH2, which encodes a histone methyltransferase responsible for trimethylating Lys27 of histone H3 (H3K27). After the recent discovery of mutations in KDM6A (UTX), which encodes the histone H3K27me3 demethylase UTX, in several cancer types, EZH2 is the second histone methyltransferase gene found to be mutated in cancer. These mutations, which result in the replacement of a single tyrosine in the SET domain of the EZH2 protein (Tyr641), occur in 21.7% of GCB DLBCLs and 7.2% of FLs and are absent from ABC DLBCLs. Our data are consistent with the notion that EZH2 proteins with mutant Tyr641 have reduced enzymatic activity in vitro.


Genome Biology | 2010

Evolution of an adenocarcinoma in response to selection by targeted kinase inhibitors.

Steven J.M. Jones; Janessa Laskin; Yvonne Y. Li; Obi L. Griffith; Jianghong An; Mikhail Bilenky; Yaron S N Butterfield; Timothee Cezard; Eric Chuah; Richard Corbett; Anthony P. Fejes; Malachi Griffith; John Yee; Montgomery Martin; Michael Mayo; Nataliya Melnyk; Ryan D. Morin; Trevor J. Pugh; Tesa Severson; Sohrab P. Shah; Margaret Sutcliffe; Angela Tam; Jefferson Terry; Nina Thiessen; Thomas A. Thomson; Richard Varhol; Thomas Zeng; Yongjun Zhao; Richard A. Moore; David Huntsman

BackgroundAdenocarcinomas of the tongue are rare and represent the minority (20 to 25%) of salivary gland tumors affecting the tongue. We investigated the utility of massively parallel sequencing to characterize an adenocarcinoma of the tongue, before and after treatment.ResultsIn the pre-treatment tumor we identified 7,629 genes within regions of copy number gain. There were 1,078 genes that exhibited increased expression relative to the blood and unrelated tumors and four genes contained somatic protein-coding mutations. Our analysis suggested the tumor cells were driven by the RET oncogene. Genes whose protein products are targeted by the RET inhibitors sunitinib and sorafenib correlated with being amplified and or highly expressed. Consistent with our observations, administration of sunitinib was associated with stable disease lasting 4 months, after which the lung lesions began to grow. Administration of sorafenib and sulindac provided disease stabilization for an additional 3 months after which the cancer progressed and new lesions appeared. A recurring metastasis possessed 7,288 genes within copy number amplicons, 385 genes exhibiting increased expression relative to other tumors and 9 new somatic protein coding mutations. The observed mutations and amplifications were consistent with therapeutic resistance arising through activation of the MAPK and AKT pathways.ConclusionsWe conclude that complete genomic characterization of a rare tumor has the potential to aid in clinical decision making and identifying therapeutic approaches where no established treatment protocols exist. These results also provide direct in vivo genomic evidence for mutational evolution within a tumor under drug selection and potential mechanisms of drug resistance accrual.


Blood | 2015

Cell-of-origin of transformed follicular lymphoma

Robert Kridel; Anja Mottok; Pedro Farinha; Susana Ben-Neriah; Daisuke Ennishi; Yvonne Zheng; Elizabeth Chavez; Hennady P. Shulha; King Tan; Fong Chun Chan; Merrill Boyle; Barbara Meissner; Adele Telenius; Laurie H. Sehn; Marco A. Marra; Sohrab P. Shah; Christian Steidl; Joseph M. Connors; David W. Scott; Randy D. Gascoyne

Follicular lymphoma (FL) is an indolent disease but transforms in 2% to 3% of patients per year into aggressive, large cell lymphoma, a critical event in the course of the disease associated with increased lymphoma-related mortality. Early transformation cannot be accurately predicted at the time of FL diagnosis and the biology of transformed FL (TFL) is poorly understood. Here, we assembled a cohort of 126 diagnostic FL specimens including 40 patients experiencing transformation (<5 years) and 86 patients not experiencing transformation for at least 5 years. In addition, we assembled an overlapping cohort of 155 TFL patients, including 114 cases for which paired samples were available, and assessed temporal changes of routinely available biomarkers, outcome after transformation, as well as molecular subtypes of TFL. We report that the expression of IRF4 is an independent predictor of early transformation (Hazard ratio, 13.3; P < .001). We also show that composite histology at the time of transformation predicts favorable prognosis. Moreover, applying the Lymph2Cx digital gene expression assay for diffuse large B-cell lymphoma (DLBCL) cell-of-origin determination to 110 patients with DLBCL-like TFL, we demonstrate that TFL is of the germinal-center B-cell-like subtype in the majority of cases (80%) but that a significant proportion of cases is of the activated B-cell-like (ABC) subtype (16%). These latter cases are commonly negative for BCL2 translocation and arise preferentially from BCL2 translocation-negative and/or IRF4-expressing FLs. Our study demonstrates the existence of molecular heterogeneity in TFL as well as its relationship to the antecedent FL.


The Journal of Pathology | 2011

Using next-generation sequencing for the diagnosis of rare disorders: a family with retinitis pigmentosa and skeletal abnormalities†

Kasmintan A. Schrader; Alireza Heravi-Moussavi; Paula J. Waters; Janine Senz; James Whelan; Gavin Ha; Patrice Eydoux; Torsten O. Nielsen; Barry Gallagher; Arusha Oloumi; Niki Boyd; Bridget A. Fernandez; Terry-Lynn Young; Steven J.M. Jones; Martin Hirst; Sohrab P. Shah; Marco A. Marra; Jane Green; David Huntsman

Linkage analysis with subsequent candidate gene sequencing is typically used to diagnose novel inherited syndromes. It is now possible to expedite diagnosis through the sequencing of all coding regions of the genome (the exome) or full genomes. We sequenced the exomes of four members of a family presenting with spondylo‐epiphyseal dysplasia and retinitis pigmentosa and identified a six‐base‐pair (6‐bp) deletion in GNPTG, the gene implicated in mucolipidosis type IIIγ. The diagnosis was confirmed by biochemical studies and both broadens the mucolipidosis type III phenotype and demonstrates the clinical utility of next‐generation sequencing to diagnose rare genetic diseases. Copyright


BMC Bioinformatics | 2010

Genomic analysis of a rare human tumor

Steven J.M. Jones; Janessa Laskin; Yvonne Y. Li; Obi L. Griffith; Jianghong An; Mikhail Bilenky; Yaron S N Butterfield; Timothee Cezard; Eric Chuah; Richard Corbett; Anthony P. Fejes; Malachi Griffith; John Yee; Montgomery Martin; Michael Mayo; Nataliya Melnyk; Ryan D. Morin; Trevor J. Pugh; Tesa Severson; Sohrab P. Shah; Margaret Sutcliffe; Angela Tam; Jefferson Terry; Nina Thiessen; Thomas A. Thomson; Richard Varhol; Thomas Zeng; Yongjun Zhao; Richard A. Moore; David Huntsman

Genomic analysis of a rare human tumor Steven JM Jones, Janessa Laskin, Yvonne Y Li, Obi L Griffith, Jianghong An, Mikhail Bilenky, Yaron S Butterfield, Timothee Cezard, Eric Chuah, Richard Corbett, Anthony Fejes, Malachi Griffith, John Yee, Montgomery Martin, Michael Mayo, Nataliya Melnyk, Ryan D Morin, Trevor J Pugh, Tesa Severson, Sohrab P Shah, Margaret Sutcliffe, Angela Tam, Jefferson Terry, Nina Thiessen, Thomas Thomson, Richard Varhol, Thomas Zeng, Yongjun Zhao, Richard A Moore, David G Huntsman, Inanc Birol, Martin Hirst, Robert A Holt, Marco A Marra


bioRxiv | 2017

deStruct: Accurate Rearrangement Detection using Breakpoint Specific Realignment

Andrew McPherson; Sohrab P. Shah; S. Cenk Sahinalp

We propose that a breakpoint specific alignment procedure would improve breakpoint prediction. Our method, deStruct, uses multiple stages of realignment and clustering to progressively refine breakpoint prediction quality and accuracy. We show using simulated data that deStruct predicts breakpoints with higher sensitivity and specificity than existing breakpoint prediction tools.


Methods of Molecular Biology | 2013

Distinguishing Somatic and Germline Copy Number Events in Cancer Patient DNA Hybridized to Whole-Genome SNP Genotyping Arrays

Gavin Ha; Sohrab P. Shah

Chromosomal aneuploidy and segmental copy number changes are common genomic aberrations in -cancer. Copy number alterations (CNAs) arise from deletions, insertions, or duplications resulting in -chromosomal aberrations and aneuploidy. Genomes of normal cells also exhibit variable copy number called germline copy number variants (CNVs). CNVs in the general population tend to confound interpretation of predictions when attempting to extract relevant driver somatic events in cancer. In large studies of CNAs in cancer patients, it becomes necessary to accurately identify and separate CNAs and CNVs so as to prioritize candidate tumor suppressors and oncogenes. We have developed a probabilistic approach, HMM-Dosage, for segmenting and distinguishing CNAs and CNVs as separate, discrete events in cancer SNP genotyping array data. We outline the steps and computer code for the analysis of whole-genome cancer DNA hybridized to SNP genotyping arrays, focusing on distinguishing somatic CNA and germline CNVs, and describe the combined approach of HMM-Dosage for probabilistic inference and classification of somatic and germline copy number changes.


bioRxiv | 2017

The interface of malignant and immunologic clonal dynamics in high-grade serous ovarian cancer

Allen W. Zhang; Andrew McPherson; Katy Milne; David R. Kroeger; Phineas T. Hamilton; Alex Miranda; Tyler Funnell; Sonya Laan; Dawn R. Cochrane; Jamie L. P. Lim; Winnie Yang; Andrew Roth; Maia A. Smith; Camila de Souza; Julie Ho; Kane Tse; Thomas Zeng; Inna Shlafman; Michael R. Mayo; Richard A. Moore; Henrik Failmezger; Andreas Heindl; Yi Kan Wang; Ali Bashashati; Scott D. Brown; Daniel Lai; Adrian Wan; Cydney Nielsen; Alexandre Bouchard-Côté; Yinyin Yuan

High-grade serous ovarian cancer exhibits extensive intratumoral heterogeneity coupled with widespread intraperitoneal disease. Despite this, metastatic spread of tumor clones is non-random, implying the existence of local microenvironmental factors that shape tumor progression. We interrogated the molecular interface between tumor-infiltrating lymphocytes (TIL) and cancer cells in 143 samples from 21 patients using whole-genome sequencing, immunohistochemistry, histologic image analysis, gene expression profiling, and T- and B-cell receptor sequencing. We identify 3 immunologic response categories, which frequently co-exist within individual patients. Furthermore, epithelial CD8+ TIL were inversely associated with malignant cell diversity, evidenced by subclonal neoepitope elimination and spatial tracking between tumor and T-cell clones. Intersecting mutational signatures and immune analysis showed that foldback inversion genomic aberrations lead to worse outcomes even in the presence of cytotoxic TIL (n=433). Thus, regional variation in immune contexture mirrors the pattern of intraperitoneal malignant spread, provoking new perspectives for treatment of this challenging disease.


bioRxiv | 2017

Genome-wide discovery of somatic coding and regulatory variants in Diffuse Large B-cell Lymphoma

Sarah Arthur; Aixiang Jiang; Bruno M. Grande; Miguel Alcaide; Anja Mottok; Daisuke Ennishi; Christopher Rushton; Selin Jessa; Prince Kumar Lat; Prasath Pararajalingam; Barbara Meissner; Merrill Boyle; Lauren Chong; Daniel Lai; Pedro Farinha; Graham W. Slack; Jordan Davidson; Kevin Bushell; Sohrab P. Shah; Dipankar Sen; Steven J.M. Jones; Andrew J. Mungall; Randy D. Gascoyne; Marco A. Marra; Christian Steidl; Joseph M. Connors; David W. Scott; Ryan D. Morin

Diffuse large B-cell lymphoma (DLBCL) is an aggressive cancer originating from mature B-cells. Many known driver mutations are over-represented in one of its two molecular subgroups, knowledge of which has aided in the development of therapeutics that target these features. The heterogeneity of DLBCL determined through prior genomic analysis suggests an incomplete understanding of its molecular aetiology, with a limited diversity of genetic events having thus far been attributed to the activated B-cell (ABC) subgroup. Through an integrative genomic analysis we uncovered genes and non-coding loci that are commonly mutated in DLBCL including putative regulatory sequences. We implicate recurrent mutations in the 3’UTR of NFKBIZ as a novel mechanism of oncogene deregulation and found small amplifications associated with over-expression of FC-γ receptor genes. These results inform on mechanisms of NF-κB pathway activation in ABC DLBCL and may reveal a high-risk population of patients that might not benefit from standard therapeutics.


bioRxiv | 2017

EIF4A3 associated splicing and nonsense mediated decay defined by a systems analysis with novel small molecule inhibitors

Alborz Mazloomian; Shinsuke Araki; Momoko Oohori; Damian Yap; Shoichi Nakao; Atsushi Nakanishi; Sohrab P. Shah; Samuel Aparicio

Chemical biology approaches to the global functions of splicing reactions are gaining momentum, with an increasing repertoire of small molecule probes becoming available. Here we map the association of eIF4A3 with transcript expression, NMD and alternative splicing using a set of selective novel small molecule allosteric helicase inhibitors whose synthesis and chemical properties we have recently described. We show through analysis of dose monotonic transcriptional responses to increasing inhibition that both full length and NMD prone transcripts link eIF4A3 to normal functioning of cell division including chromosome segregation and cell cycle checkpoints, pointing to a conserved role of splicing and transcript quality processing in cell cycle functions. Cell cycle analysis and microscopy of inhibitor treated cells demonstrates chromosome mis-segregation and spindle defects, associated with a G2/M arrest, validating this observation. Through analysis of conserved alternative splicing patterns exhibiting monotonic responses, we find that eIF4A3 dependent alternative splicing involves exons that are longer and introns that are shorter than transcripts not modulated by eIF4A3. Moreover we observe conservation of over/under representation of RBP binding motif density over introns and exons implicated eIF4A3 modulated skipped exon and retained introns. The distribution of motif densities over 5’ and branch intron sites and 5’ exons is consistent with function of the exon-junction complex. Taken together we have defined a fraction of the transcrip-tome dependent on eIF4A3 functions and revealed a link between eIF4A3 and cell cycle regulation. The systems approach described here suggests additional avenues for therapeutic exploitation of eIF4A3 functions in cancer and related diseases.

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David Huntsman

University of British Columbia

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Marco A. Marra

University of British Columbia

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Janine Senz

University of British Columbia

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