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Featured researches published by Hui-li Wong.


Cold Spring Harb Mol Case Stud | 2018

Molecular characterization of metastatic pancreatic neuroendocrine tumors (PNETs) using whole-genome and transcriptome sequencing

Hui-li Wong; Kevin C. Yang; Yaoqing Shen; Eric Zhao; Jonathan M. Loree; Hagen F. Kennecke; Steve E. Kalloger; Joanna M. Karasinska; Howard John Lim; Andrew J. Mungall; Xiaolan Feng; Janine M. Davies; Kasmintan A. Schrader; Chen Zhou; Aly Karsan; Steven J.M. Jones; Janessa Laskin; Marco A. Marra; David F. Schaeffer; Sharon M. Gorski; Daniel John Renouf

Pancreatic neuroendocrine tumors (PNETs) are a genomically and clinically heterogeneous group of pancreatic neoplasms often diagnosed with distant metastases. Recurrent somatic mutations, chromosomal aberrations, and gene expression signatures in PNETs have been described, but the clinical significance of these molecular changes is still poorly understood, and the clinical outcomes of PNET patients remain highly variable. To help identify the molecular factors that contribute to PNET progression and metastasis, and as part of an ongoing clinical trial at the BC Cancer Agency (clinicaltrials.gov ID: NCT02155621), the genomic and transcriptomic profiles of liver metastases from five patients (four PNETs and one neuroendocrine carcinoma) were analyzed. In four of the five cases, we identified biallelic loss of MEN1 and DAXX as well as recurrent regions with loss of heterozygosity. Several novel findings were observed, including focal amplification of MYCN concomitant with loss of APC and TP53 in one sample with wild-type MEN1 and DAXX. Transcriptome analyses revealed up-regulation of MYCN target genes in this sample, confirming a MYCN-driven gene expression signature. We also identified a germline NTHL1 fusion event in one sample that resulted in a striking C>T mutation signature profile not previously reported in PNETs. These varying molecular alterations suggest different cellular pathways may contribute to PNET progression, consistent with the heterogeneous clinical nature of this disease. Furthermore, genomic profiles appeared to correlate well with treatment response, lending support to the role of prospective genotyping efforts to guide therapy in PNETs.


Cold Spring Harb Mol Case Stud | 2018

Molecular characterization of ERBB2-amplified colorectal cancer identifies potential mechanisms of resistance to targeted therapies: a report of two instructive cases

Daniel R. Owen; Hui-li Wong; Melika Bonakdar; Martin Jones; Christopher S. Hughes; Gregg B. Morin; Steven J.M. Jones; Daniel John Renouf; Howard John Lim; Janessa Laskin; Marco A. Marra; Stephen Yip; David F. Schaeffer

ERBB2 amplification has been identified in ∼5% of KRAS wild-type colorectal cancers (CRCs). A recent clinical trial showed response to HER2-directed therapy in a subset of ERBB2-amplified metastatic CRCs resistant to chemotherapy and EGFR-directed therapy. With the aim of better understanding mechanisms of resistance to HER2-directed and EGFR-directed therapies, we report the complete molecular characterization of two cases of ERBB2-amplified CRC. PCR-free whole-genome sequencing was used to identify mutations, copy-number alterations, structural variations, and losses of heterozygosity. ERBB2 copy number was also measured by fluorescence in situ hybridization. Single-stranded mRNA sequencing was used for gene expression profiling. Immunohistochemistry and protein mass spectrometry were used to quantify HER2 protein expression. The cases showed ERBB2 copy number of 86 and 92, respectively. Both cases were immunohistochemically positive for HER2 according to CRC-specific scoring criteria. Fluorescence in situ hybridization and protein mass spectrometry corroborated significantly elevated ERBB2 copy number and abundance of HER2 protein. Both cases were microsatellite stable and without mutation of RAS pathway genes. Additional findings included altered expression of PTEN, MET, and MUC1 and mutation of PIK3CA. The potential effects of the molecular alterations on sensitivity to EGFR and HER2-directed therapies were discussed. Identification of ERBB2 amplification in CRC is necessary to select patients who may respond to HER2-directed therapy. An improved understanding of the molecular characteristics of ERBB2-amplified CRCs and their potential mechanisms of resistance will be useful for future research into targeted therapies and may eventually inform therapeutic decision-making.


The Journal of Pathology: Clinical Research | 2017

A predictive analysis of the SP120 and 10D7G2 antibodies for human equilibrative nucleoside transporter 1 (hENT1) in pancreatic ductal adenocarcinoma treated with adjuvant gemcitabine: Predictive effect of hENT1 in PDAC

Steve E. Kalloger; Maziar Riazy; Basile Tessier-Cloutier; Joanna M. Karasinska; Dongxia Gao; Renata D'Alpino Peixoto; Setareh Samimi; Christine Chow; Hui-li Wong; John R. Mackey; Daniel John Renouf; David F. Schaeffer

Expression of human equilibrative nucleoside transporter 1 (hENT1) in pancreatic ductal adenocarcinoma (PDAC) has been postulated to be a marker of sensitivity to gemcitabine. However, heterogeneity in the studies attempting to quantify hENT1 expression in patients with PDAC treated with gemcitabine has yielded inconclusive results that impede the adoption of hENT1 expression as a predictive biomarker. Tissue microarrays consisting of PDAC specimens from 227 patients acquired between 1987 and 2013 annotated with treatment and outcome information were subjected to staining with two antibodies for hENT1 (10D7G2 and SP120) on a single automated platform and scored by two independent pathologists blinded to treatment and outcome. The resultant scores were subjected to individual predictive disease‐specific survival analysis and to unsupervised hierarchical clustering to generate a multi‐marker classification. Tumour cell staining prevalence using either SP120 or 10D7G2 was predictive of gemcitabine sensitivity (p = 0.02; p = 0.01). When combined, three groups emerged, classified as SP120Low_10D7G2Low, SP120Low_10D7G2High, and SP120High_10D7G2High, in which adjuvant gemcitabine conferred median survival differences of 0.2, 0.8, and 1.5 (p = 0.76, p = 0.06, p = 0.01) years, respectively. These results were largely replicated in multivariable analysis with the P value for the SP120Low_10D7G2High cluster achieving statistical significance (p = 0.03). These data suggest that either antibody for hENT1 can be used to predict gemcitabine sensitivity in resected PDAC. However, using both antibodies adds valuable information that enables the stratification of patients who can expect to have a good, intermediate, and poor response to adjuvant gemcitabine.


Cancer Research | 2016

Abstract 5226: Genomic analysis of pancreatic ductal adenocarcinoma in a patient with MUTYH-associated polyposis

Kasmintan A. Schrader; Carolyn Ng; Eric Zhao; Hui-li Wong; Yaoqing Shen; Martin R. Jones; Tom Thomson; Howard John Lim; Sean Young; Carol Cremin; Robert A. Holt; Peter Eirew; Joanna M. Karasinska; Jacquie Schein; Yongjun Zhao; Andy Mungall; Richard A. Moore; Yussanne Ma; Alexandra Fok; Robyn Roscoe; Stephen Yip; Gillian Mitchell; Aly Karsan; Steven J.M. Jones; David F. Schaeffer; Janessa Laskin; Marco A. Marra; Daniel John Renouf

Biallelic pathogenic germline variants in the DNA repair glycosylase, MUTYH, cause MUTYH-associated polyposis, characterised by an increased susceptibility to colorectal adenomas and carcinomas secondary to defective base excision repair. We report a patient diagnosed with Stage IIB distal pancreatic ductal adenocarcinoma (PDAC) at the age of 45 years. Prior colonoscopy and gastroscopy noted three colonic tubular adenomas and a gastric fundic gland polyp. The patient was consented to whole genome and transcriptome sequencing of the PDAC and matched normal blood DNA through the British Columbia Personalized Onco-Genomics (POG) program. Analysis of germline and somatic variants including single nucleotide variants, copy number determination, loss of heterozygosity detection and mutational signatures was undertaken. Expression fold-changes were calculated against Illumina BodyMap pancreatic tissue averages and compared against The Cancer Genome Atlas PDAC cases. Germline analysis revealed biallelic mutations in the MUTYH gene. In light of this patient9s personal and family history of adenomatous colon polyps, clinic-initiated panel testing of 14 cancer susceptibility genes, including MUTYH, via Illumina sequencing with reflex Sanger confirmation revealed the same biallelic MUTYH changes. Analysis of the patient9s PDAC revealed a base excision repair pathway signature, demonstrated by an increased frequency of C:G>A:T transversions, consistent with deficient MUTYH activity. This is the first association of germline MUTYH biallelic pathogenic variants with PDAC and provides evidence of the contribution of aberrant MUTYH function to the genomic landscape of a PDAC. Detection of the base excision repair mutational signature may be a sensitive way to screen tumors for aberrant MUTYH function that can reveal potential germline MUTYH-related cancer susceptibility, and allow inference of pathogenicity of detected MUTYH variants, which may have cancer prevention and therapeutic implications. Citation Format: Kasmintan A. Schrader, Carolyn Chu’ng, Eric Zhao, Hui-li Wong, Yaoqing Shen, Martin Jones, Tom Thomson, Howard Lim, Sean Young, Carol Cremin, Robert Holt, Peter Eirew, Joanna Karasinska, Jacquie Schein, Yongjun Zhao, Andy Mungall, Richard Moore, Yussanne Ma, Alexandra Fok, Robyn Roscoe, Stephen Yip, Gillian Mitchell, Aly Karsan, Steven Jones, David Schaeffer, Janessa Laskin, Marco Marra, Daniel Renouf. Genomic analysis of pancreatic ductal adenocarcinoma in a patient with MUTYH-associated polyposis. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 5226.


Cancer Research | 2016

Abstract B87: Co-expression of GLUT1 and MCT4 is a poor prognostic marker and predicts response to adjuvant chemotherapy in PDAC

Joanna M. Karasinska; Steve E. Kalloger; Hui-li Wong; Taixiang Wang; Daniel John Renouf; David F. Schaeffer

Background: Mutant KRAS stimulates glucose uptake and lactate production in pancreatic ductal adenocarcinoma (PDAC), contributing to metabolic pathway reprogramming and tumor progression. A prognostic effect for glucose transporter GLUT1 and lactate transporter MCT4 expression in PDAC has been demonstrated but it is not known if the expression of markers of glycolytic and lactate metabolism pathways is predictive of treatment response. We aimed to validate the prognostic and assess the predictive effects of GLUT1 and MCT4 protein levels in resectable PDAC. Methods: Immunohistochemical analysis for GLUT1 and MCT4 was performed on a tissue microarray (TMA) comprising 261 resected PDAC tumors with associated clinical outcome data. The expression of GLUT1 and MCT4 in the epithelial compartment of PDAC was quantified and patient samples were scored as low (negative and weak staining) and high (moderate and strong staining) expression groups. Univariable disease-specific survival (DSS) was assessed using the Kaplan-Meier method. Results: 70% (182) of the patients included in the TMA had high GLUT1 staining and 58% had high MCT4 staining. GLUT1high patients had reduced median DSS compared to GLUT1low patients (1.34 vs. 2.05 years, p=0.0136). Median DSS was also reduced in the MCT4high group (1.33 vs. 1.91 years in MCT4low, p=0.0153). There was a significant co-occurrence of high GLUT1 with high MCT4 expression (70%, p Conclusions: GLUT1 and MCT4 expression are poor prognostic markers in PDAC and co-expression of these biomarkers enhances this effect. Neither GLUT1 nor MCT4 were found to be of predictive relevance when considered individually. Patients with low tumor GLUT1 and MCT4 expression had the best outcomes with chemotherapy with a pyrimidine analog. Hence, immunohistochemical analysis of GLUT1 and MCT4 in resected PDAC defines patient subgroups with different survival prognosis and predicted sensitivity to pyrimidine analog chemotherapy. The combined effect of GLUT1 and MCT4 expression on PDAC outcome suggests that therapeutic agents which can alter the glycolytic/lactate pathway may have potential for increasing sensitivity to treatment. Citation Format: Joanna M. Karasinska, Steve E. Kalloger, Hui-li Wong, Taixiang Wang, Daniel J. Renouf, David F. Schaeffer.{Authors}. Co-expression of GLUT1 and MCT4 is a poor prognostic marker and predicts response to adjuvant chemotherapy in PDAC. [abstract]. In: Proceedings of the AACR Special Conference on Pancreatic Cancer: Advances in Science and Clinical Care; 2016 May 12-15; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2016;76(24 Suppl):Abstract nr B87.


Cancer Research | 2016

Abstract B81: Gene expression analysis demonstrates prognostic subtypes in metastatic pancreatic ductal adenocarcinoma (PDAC)

Hui-li Wong; Joanna M. Karasinska; Martin Jones; Peter Eirew; Kasmintan A. Schrader; Howard John Lim; Yaoqing Shen; Steven J.M. Jones; Stephen Yip; Janessa Laskin; Marco A. Marra; David F. Schaeffer; Daniel John Renouf

Background: In the absence of defined tumor molecular subtypes and validated predictive markers, PDAC has been largely treated as a single disease. Recent studies of molecular subtyping in PDAC [1-4] reveal a complex mutational landscape with data suggesting the presence of genomic and gene expression signatures that may have prognostic and therapeutic significance. However, most of these PDAC datasets consisted of resected tumors, cell lines or xenografts and lack data on metastatic tumors. The aim of this study is to evaluate gene signatures using whole genome sequencing (WGS) and transcriptome (RNA-Seq) data from metastatic biopsy samples in patients with advanced PDAC. Methods: Patients with incurable advanced cancers undergo fresh tumor biopsies for indepth WGS and RNA sequencing as part of an ongoing prospective study (NCT02155621). DNA and RNA extraction and library construction were performed according to standard protocols. Paired-end reads were generated on an Illumina HiSeq2500 sequencer. RNA-Seq expression values were converted into centile expression ranks against the TCGA PDAC dataset. Centile distributions for genes in published signatures were compared by pairwise Wilcoxon-Mann-Whitney tests using one-sided p=0.1 as the significance cutoff. Survival analysis was performed using the Kaplan-Meier method. Results: Molecular data is available for 12 patients with metastatic PDAC; median age 63 years, 6 males, 8 with de novo metastatic disease (67%). 10 tumor samples (83%) were obtained from liver biopsies; average tumor content was 41% (range 24-51%). The average number of structural variants per sample was 125 (range 40-271). Rearrangement-based subtypes [3] were distributed as follows: stable (n=3), locally rearranged (n=1), scattered (n=7) and unstable (n=1). 1 patient harbored a germline BRCA1 185delAG founder mutation but had a stable genotype. Gene expression analysis for classical and basal subtypes similar to those recently described [4] identified 3 and 7 patients with classical and basal expression patterns respectively. Gene signatures were undetermined for 2 patients, where no significant difference in expression of classical or basal signature genes was noted. At median follow-up of 16.7 months, 8 patients had died. Median overall survival was 19.1 vs 7 months in patients with classical and basal subtypes respectively (p=0.078). Conclusion: Despite small patient numbers, gene expression analysis demonstrated the presence of distinct signatures in metastatic PDAC, with a trend towards worse outcomes for patients with a basal expression subtype. Future challenges include prospective validation in larger cohorts, standardization of RNA data acquisition and analysis, and better definition of prognostic and predictive signatures that may be of clinical utility in metastatic PDAC. References 1. Collison E, et al. Nat Med. 2011 [PMID: 21460848] 2. Biankin A, et al. Nature. 2012 [PMID: 23103869] 3. Waddell N, et al. Nature. 2015 [PMID: 25719666] 4. Moffitt R, et al. Nat Genet. 2015 [PMID: 26343385] Citation Format: Hui-li Wong, Joanna M. Karasinska, Martin Jones, Peter Eirew, Kasmintan Schrader, Howard Lim, Yaoqing Shen, Steven Jones, Stephen Yip, Janessa Laskin, Marco Marra, David F. Schaeffer, Daniel J. Renouf.{Authors}. Gene expression analysis demonstrates prognostic subtypes in metastatic pancreatic ductal adenocarcinoma (PDAC). [abstract]. In: Proceedings of the AACR Special Conference on Pancreatic Cancer: Advances in Science and Clinical Care; 2016 May 12-15; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2016;76(24 Suppl):Abstract nr B81.


Journal of Clinical Oncology | 2018

Outcomes and characteristics of patients receiving second-line therapy for advanced pancreatic cancer.

Erica S Tsang; Hui-li Wong; Ying Wang; Daniel John Renouf; Winson Y. Cheung; Howard John Lim; Sharlene Gill; Jonathan M. Loree; Hagen F. Kennecke


JCO Precision Oncology | 2018

Temporal Dynamics of Genomic Alterations in a BRCA1 Germline–Mutated Pancreatic Cancer With Low Genomic Instability Burden but Exceptional Response to Fluorouracil, Oxaliplatin, Leucovorin, and Irinotecan

Hui-li Wong; Eric Zhao; Martin R. Jones; Caralyn Reisle; Peter Eirew; Erin Pleasance; Bruno M. Grande; Joanna M. Karasinska; Steve Kalloger; Howard John Lim; Yaoqing Shen; Stephen Yip; Ryan Morin; Janessa Laskin; Marco Marra; Steven Jones; Kasmintan A Schrader; David F. Schaeffer; Daniel John Renouf


Journal of Clinical Oncology | 2017

Multivariate assessment of SPARC expression in resected pancreatic ductal adenocarcinoma to identify subgroups that are sensitive to adjuvant gemcitabine.

Steve E. Kalloger; Joanna M. Karasinska; Hui-li Wong; Daniel John Renouf; David F. Schaeffer


Journal of Clinical Oncology | 2017

Determinants of first-line treatment selection in advanced pancreatic ductal adenocarcinoma (PDAC).

Hui-li Wong; Ying Wang; Yaling Yin; Hagen F. Kennecke; Winson Y. Cheung; Daniel John Renouf; Sharlene Gill

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David F. Schaeffer

University of British Columbia

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Marco A. Marra

University of British Columbia

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Stephen Yip

University of British Columbia

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Steve E. Kalloger

University of British Columbia

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Steven J.M. Jones

University of British Columbia

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Kasmintan A. Schrader

University of British Columbia

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