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Dive into the research topics where Amy Lum is active.

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Featured researches published by Amy Lum.


JAMA Oncology | 2015

Hereditary Diffuse Gastric Cancer Syndrome: CDH1 Mutations and Beyond

Samantha Hansford; Pardeep Kaurah; Hector Li-Chang; Michelle Woo; Janine Senz; Hugo Pinheiro; Kasmintan A. Schrader; David F. Schaeffer; Karey Shumansky; George Zogopoulos; Teresa Almeida Santos; Isabel Claro; Joana Carvalho; Cydney Nielsen; Sarah Padilla; Amy Lum; Aline Talhouk; Katie Baker-Lange; Sue Richardson; Ivy Lewis; Noralane M. Lindor; Erin Pennell; Andree MacMillan; Bridget A. Fernandez; G. Keller; Henry T. Lynch; Sohrab P. Shah; Parry Guilford; Steven Gallinger; Giovanni Corso

IMPORTANCE E-cadherin (CDH1) is a cancer predisposition gene mutated in families meeting clinically defined hereditary diffuse gastric cancer (HDGC). Reliable estimates of cancer risk and spectrum in germline mutation carriers are essential for management. For families without CDH1 mutations, genetic-based risk stratification has not been possible, resulting in limited clinical options. OBJECTIVES To derive accurate estimates of gastric and breast cancer risks in CDH1 mutation carriers and determine if germline mutations in other genes are associated with HDGC. DESIGN, SETTING, AND PARTICIPANTS Testing for CDH1 germline mutations was performed on 183 index cases meeting clinical criteria for HDGC. Penetrance was derived from 75 mutation-positive families from within this and other cohorts, comprising 3858 probands (353 with gastric cancer and 89 with breast cancer). Germline DNA from 144 HDGC probands lacking CDH1 mutations was screened using multiplexed targeted sequencing for 55 cancer-associated genes. MAIN OUTCOMES AND MEASURES Accurate estimates of gastric and breast cancer risks in CDH1 mutation carriers and the relative contribution of other cancer predisposition genes in familial gastric cancers. RESULTS Thirty-one distinct pathogenic CDH1 mutations (14 novel) were identified in 34 of 183 index cases (19%). By the age of 80 years, the cumulative incidence of gastric cancer was 70% (95% CI, 59%-80%) for males and 56% (95% CI, 44%-69%) for females, and the risk of breast cancer for females was 42% (95% CI, 23%-68%). In CDH1 mutation-negative index cases, candidate mutations were identified in 16 of 144 probands (11%), including mutations within genes of high and moderate penetrance: CTNNA1, BRCA2, STK11, SDHB, PRSS1, ATM, MSR1, and PALB2. CONCLUSIONS AND RELEVANCE This is the largest reported series of CDH1 mutation carriers, providing more precise estimates of age-associated risks of gastric and breast cancer that will improve counseling of unaffected carriers. In HDGC families lacking CDH1 mutations, testing of CTNNA1 and other tumor suppressor genes should be considered. Clinically defined HDGC families can harbor mutations in genes (ie, BRCA2) with different clinical ramifications from CDH1. Therefore, we propose that HDGC syndrome may be best defined by mutations in CDH1 and closely related genes, rather than through clinical criteria that capture families with heterogeneous susceptibility profiles.


The New England Journal of Medicine | 2017

Cancer-Associated Mutations in Endometriosis without Cancer

Michael S. Anglesio; Nickolas Papadopoulos; A. Ayhan; Tayyebeh Nazeran; Michaël Noë; Hugo M. Horlings; Amy Lum; Siân Jones; Janine Senz; Tamer Seckin; Julie Ho; Ren-Chin Wu; Vivian Lac; Hiroshi Ogawa; Basile Tessier-Cloutier; Rami Alhassan; Amy Wang; Yuxuan Wang; Joshua D. Cohen; Fontayne Wong; Adnan Hasanovic; Natasha Orr; Ming Zhang; Maria Popoli; Wyatt Mcmahon; Laura D. Wood; Austin Mattox; Catherine Allaire; James Segars; Christina Williams

Background Endometriosis, defined as the presence of ectopic endometrial stroma and epithelium, affects approximately 10% of reproductive‐age women and can cause pelvic pain and infertility. Endometriotic lesions are considered to be benign inflammatory lesions but have cancerlike features such as local invasion and resistance to apoptosis. Methods We analyzed deeply infiltrating endometriotic lesions from 27 patients by means of exomewide sequencing (24 patients) or cancer‐driver targeted sequencing (3 patients). Mutations were validated with the use of digital genomic methods in microdissected epithelium and stroma. Epithelial and stromal components of lesions from an additional 12 patients were analyzed by means of a droplet digital polymerase‐chain‐reaction (PCR) assay for recurrent activating KRAS mutations. Results Exome sequencing revealed somatic mutations in 19 of 24 patients (79%). Five patients harbored known cancer driver mutations in ARID1A, PIK3CA, KRAS, or PPP2R1A, which were validated by Safe‐Sequencing System or immunohistochemical analysis. The likelihood of driver genes being affected at this rate in the absence of selection was estimated at P=0.001 (binomial test). Targeted sequencing and a droplet digital PCR assay identified KRAS mutations in 2 of 3 patients and 3 of 12 patients, respectively, with mutations in the epithelium but not the stroma. One patient harbored two different KRAS mutations, c.35G→T and c.35G→C, and another carried identical KRAS c.35G→A mutations in three distinct lesions. Conclusions We found that lesions in deep infiltrating endometriosis, which are associated with virtually no risk of malignant transformation, harbor somatic cancer driver mutations. Ten of 39 deep infiltrating lesions (26%) carried driver mutations; all the tested somatic mutations appeared to be confined to the epithelial compartment of endometriotic lesions.


Cancer | 2017

Confirmation of ProMisE: A simple, genomics-based clinical classifier for endometrial cancer.

Aline Talhouk; Melissa K. McConechy; Samuel Leung; Winnie Yang; Amy Lum; Janine Senz; Niki Boyd; Judith Pike; Michael S. Anglesio; Janice S. Kwon; Anthony N. Karnezis; David Huntsman; C. Blake Gilks; Jessica N. McAlpine

Classification of endometrial carcinomas (ECs) by morphologic features is irreproducible and imperfectly reflects tumor biology. The authors developed the Proactive Molecular Risk Classifier for Endometrial Cancer (ProMisE), a molecular classification system based on The Cancer Genome Atlas genomic subgroups, and sought to confirm both feasibility and prognostic ability in a new, large cohort of ECs.


The American Journal of Surgical Pathology | 2016

ETV6-NTRK3 Is Expressed in a Subset of ALK-Negative Inflammatory Myofibroblastic Tumors.

Ali H. Alassiri; Rola H. Ali; Yaoqing Shen; Amy Lum; Caron Strahlendorf; Rebecca J. Deyell; Rod Rassekh; Poul H. Sorensen; Janessa Laskin; Marco A. Marra; Stephen Yip; Cheng-Han Lee; Tony Ng

Inflammatory myofibroblastic tumor (IMT) is a genetically heterogenous tumor of the viscera and soft tissues, with multiple molecular features having been demonstrated in this tumor type. About 50% of cases harbor an anaplastic lymphoma kinase (ALK) gene rearrangement, and recent studies have described novel fusions involving the ROS1 and PDGFR&bgr; genes in a subset of ALK-negative cases. However, the molecular features of the remaining subset of cases are not yet defined. We report a case of a large, highly aggressive IMT of the lung in a 17-year-old girl. This case was molecularly characterized through whole-genome and transcriptome sequencing. Subsequently, we investigated a cohort of 15 ALK-negative IMTs of various anatomic sites. All cases were screened using fluorescence in situ hybridization (FISH) for rearrangement of the ETV6 locus and with reverse transcription polymerase chain reaction (RT-PCR) for the ETV6-NTRK3 fusion transcript. Whole-genome and transcriptome sequencing revealed an ETV6-NTRK3 fusion transcript in our index case. This was confirmed by FISH studies for ETV6 gene rearrangement, as well as by RT-PCR. In addition, 2 additional cases in our cohort demonstrated ETV6 rearrangement by FISH. The presence of ETV6-NTRK3 fusion transcript was demonstrated by RT-PCR in one of these additional cases. In summary, we demonstrate the expression of the ETV6-NTRK3 fusion oncogene in a small subset of IMTs, lending further support to the role of oncogenic tyrosine kinases in the pathophysiology of this tumor type. Our data also further expand the growing spectrum of tumor types expressing the ETV6-NTRK3 fusion.


PLOS ONE | 2015

Personalized oncogenomics: clinical experience with malignant peritoneal mesothelioma using whole genome sequencing.

Brandon S. Sheffield; Anna V. Tinker; Yaoqing Shen; Harry Hwang; Hector Li-Chang; Erin Pleasance; Carolyn Ch’ng; Amy Lum; Julie Lorette; Yarrow J. McConnell; Sophie Sun; Steven J.M. Jones; Allen M. Gown; David Huntsman; David F. Schaeffer; Andrew Churg; Stephen Yip; Janessa Laskin; Marco A. Marra

Peritoneal mesothelioma is a rare and sometimes lethal malignancy that presents a clinical challenge for both diagnosis and management. Recent studies have led to a better understanding of the molecular biology of peritoneal mesothelioma. Translation of the emerging data into better treatments and outcome is needed. From two patients with peritoneal mesothelioma, we derived whole genome sequences, RNA expression profiles, and targeted deep sequencing data. Molecular data were made available for translation into a clinical treatment plan. Treatment responses and outcomes were later examined in the context of molecular findings. Molecular studies presented here provide the first reported whole genome sequences of peritoneal mesothelioma. Mutations in known mesothelioma-related genes NF2, CDKN2A, LATS2, amongst others, were identified. Activation of MET-related signaling pathways was demonstrated in both cases. A hypermutated phenotype was observed in one case (434 vs. 18 single nucleotide variants) and was associated with a favourable outcome despite sarcomatoid histology and multifocal disease. This study represents the first report of whole genome analyses of peritoneal mesothelioma, a key step in the understanding and treatment of this disease.


American Journal of Medical Genetics Part A | 2014

Somatic mosaicism for the p.His1047Arg mutation in PIK3CA in a girl with mesenteric lipomatosis

Ana S.A. Cohen; Katelin N. Townsend; Qing-San Xiang; Raj Attariwala; Christof Borchers; Christof Senger; Wayne Picker; Jasna Levi; Lila Yewchuk; Joelle Tan; Patrice Eydoux; Amy Lum; Siu-Li Yong; Margaret L. McKinnon; Scott A. Lear; Robert Everett; Steven J.M. Jones; Stephen Yip; William T. Gibson

We describe a patient who presented with a localized growth of mature fat tissue, which was surgically removed. MRI imaging identified diffuse increase in visceral adipose tissue. Targeted deep sequencing of the resected tissue uncovered a p.H1047R variant in PIK3CA, which was absent in blood. This report expands the phenotypic spectrum of mosaic PIK3CA mutations.


Oncologist | 2014

Diagnostic Value of Next-Generation Sequencing in an Unusual Sphenoid Tumor

Farzad Jamshidi; Erin Pleasance; Yvonne Y. Li; Yaoqing Shen; Katayoon Kasaian; Richard Corbett; Peter Eirew; Amy Lum; Pawan Pandoh; Yongjun Zhao; Jacqueline E. Schein; Richard A. Moore; Rod Rassekh; David Huntsman; Meg Knowling; Howard John Lim; Daniel John Renouf; Steven J.M. Jones; Marco A. Marra; Torsten O. Nielsen; Janessa Laskin; Stephen Yip

Extraordinary advancements in sequencing technology have made what was once a decade-long multi-institutional endeavor into a methodology with the potential for practical use in a clinical setting. We therefore set out to examine the clinical value of next-generation sequencing by enrolling patients with incurable or ambiguous tumors into the Personalized OncoGenomics initiative at the British Columbia Cancer Agency whereby whole genome and transcriptome analyses of tumor/normal tissue pairs are completed with the ultimate goal of directing therapeutics. First, we established that the sequencing, analysis, and communication with oncologists could be completed in less than 5 weeks. Second, we found that cancer diagnostics is an area that can greatly benefit from the comprehensiveness of a whole genome analysis. Here, we present a scenario in which a metastasized sphenoid mass, which was initially thought of as an undifferentiated squamous cell carcinoma, was rediagnosed as an SMARCB1-negative rhabdoid tumor based on the newly acquired finding of homozygous SMARCB1 deletion. The new diagnosis led to a change in chemotherapy and a complete nodal response in the patient. This study also provides additional insight into the mutational landscape of an adult SMARCB1-negative tumor that has not been explored at a whole genome and transcriptome level.


The Journal of Molecular Diagnostics | 2015

Detection of Dual IDH1 and IDH2 Mutations by Targeted Next-Generation Sequencing in Acute Myeloid Leukemia and Myelodysplastic Syndromes.

Mia Y. Platt; Amir T. Fathi; Darrell R. Borger; Andrew M. Brunner; Robert P. Hasserjian; Leonora Balaj; Amy Lum; Stephen Yip; Dora Dias-Santagata; Zongli Zheng; Long P. Le; Timothy A. Graubert; A. John Iafrate; Valentina Nardi

Studies in myeloid neoplasms have described recurrent IDH1 and IDH2 mutations as primarily mutually exclusive. Over a 6-month period of clinical testing with a targeted next-generation sequencing assay, we evaluated 92 patients with acute myeloid leukemia, myelodysplastic syndrome, and chronic myelomonocytic leukemia and identified a subset of 21 patients (23%) who harbored mutations in either IDH1 or IDH2. Of the 21 patients with IDH mutations, 4 (19%) were found to have single nucleotide variants in both IDH1 and IDH2. An additional patient included in the study was found to have two different IDH2 mutations. The mutations were typically present at different variant allelic frequencies, with one predominating over the other, consistent with the presence of multiple subclones in a single patient. In one case, the variant allelic frequencies in both IDH1 and IDH2 were equally low in the setting of a high percentage of blasts, suggesting that the IDH mutations were unlikely to be present in the founding clone. Given these data, we conclude that dual IDH1/2 mutations likely were previously underestimated, a finding that may carry important treatment implications.


Annals of Oncology | 2018

Final validation of the ProMisE molecular classifier for endometrial carcinoma in a large population-based case series

Stefan Kommoss; Melissa K. McConechy; Friedrich Kommoss; S Leung; A Bunz; Jamie Magrill; H Britton; F Grevenkamp; Anthony N. Karnezis; Winnie Yang; Amy Lum; Bernhard Krämer; Florin-Andrei Taran; Annette Staebler; S Lax; Sara Y. Brucker; David Huntsman; C B Gilks; Jessica N. McAlpine; Aline Talhouk

Background We have previously developed and confirmed a pragmatic molecular classifier for endometrial cancers; ProMisE (Proactive Molecular Risk Classifier for Endometrial Cancer). Inspired by the Cancer Genome Atlas, ProMisE identifies four prognostically distinct molecular subtypes and can be applied to diagnostic specimens (biopsy/curettings) enabling earlier informed decision-making. We have strictly adhered to the Institute of Medicine (IOM) guidelines for the development of genomic biomarkers, and herein present the final validation step of a locked-down classifier before clinical application. Patients and methods We assessed a retrospective cohort of women from the Tübingen University Womens Hospital treated for endometrial carcinoma between 2003 and 2013. Primary outcomes of overall, disease-specific, and progression-free survival were evaluated for clinical, pathological, and molecular features. Results Complete clinical and molecular data were evaluable from 452 women. Patient age ranged from 29 to 93 (median 65) years, and 87.8% cases were endometrioid histotype. Grade distribution included 282 (62.4%) G1, 75 (16.6%) G2, and 95 (21.0%) G3 tumors. 276 (61.1%) patients had stage IA disease, with the remaining stage IB [89 (19.7%)], stage II [26 (5.8%)], and stage III/IV [61 (13.5%)]. ProMisE molecular classification yielded 127 (28.1%) MMR-D, 42 (9.3%) POLE, 55 (12.2%) p53abn, and 228 (50.4%) p53wt. ProMisE was a prognostic marker for progression-free (P = 0.001) and disease-specific (P = 0.03) survival even after adjusting for known risk factors. Concordance between diagnostic and surgical specimens was highly favorable; accuracy 0.91, κ 0.88. Discussion We have developed, confirmed, and now validated a pragmatic molecular classification tool (ProMisE) that provides consistent categorization of tumors and identifies four distinct prognostic molecular subtypes. ProMisE can be applied to diagnostic samples and thus could be used to inform surgical procedure(s) and/or need for adjuvant therapy. Based on the IOM guidelines this classifier is now ready for clinical evaluation through prospective clinical trials.


BMC Cancer | 2015

Retrospective review using targeted deep sequencing reveals mutational differences between gastroesophageal junction and gastric carcinomas.

Hector Li-Chang; Katayoon Kasaian; Ying Ng; Amy Lum; Esther Kong; Howard John Lim; Steven J.M. Jones; David Huntsman; David F. Schaeffer; Stephen Yip

BackgroundAdenocarcinomas of both the gastroesophageal junction and stomach are molecularly complex, but differ with respect to epidemiology, etiology and survival. There are few data directly comparing the frequencies of single nucleotide mutations in cancer-related genes between the two sites. Sequencing of targeted gene panels may be useful in uncovering multiple genomic aberrations using a single test.MethodsDNA from 92 gastroesophageal junction and 75 gastric adenocarcinoma resection specimens was extracted from formalin-fixed paraffin-embedded tissue. Targeted deep sequencing of 46 cancer-related genes was performed through emulsion PCR followed by semiconductor-based sequencing. Gastroesophageal junction and gastric carcinomas were contrasted with respect to mutational profiles, immunohistochemistry and in situ hybridization, as well as corresponding clinicopathologic data.ResultsGastroesophageal junction carcinomas were associated with younger age, more frequent intestinal-type histology, more frequent p53 overexpression, and worse disease-free survival on multivariable analysis. Among all cases, 145 mutations were detected in 31 genes. TP53 mutations were the most common abnormality detected, and were more common in gastroesophageal junction carcinomas (42% vs. 27%, p = 0.036). Mutations in the Wnt pathway components APC and CTNNB1 were more common among gastric carcinomas (16% vs. 3%, p = 0.006), and gastric carcinomas were more likely to have ≥3 driver mutations detected (11% vs. 2%, p = 0.044). Twenty percent of cases had potentially actionable mutations identified. R132H and R132C missense mutations in the IDH1 gene were observed, and are the first reported mutations of their kind in gastric carcinoma.ConclusionsPanel sequencing of routine pathology material can yield mutational information on several driver genes, including some for which targeted therapies are available. Differing rates of mutations and clinicopathologic differences support a distinction between adenocarcinomas that arise in the gastroesophageal junction and those that arise in the stomach proper.

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David Huntsman

University of British Columbia

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Janine Senz

University of British Columbia

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Stephen Yip

University of British Columbia

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Michael S. Anglesio

University of British Columbia

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Aline Talhouk

University of British Columbia

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C. Blake Gilks

University of British Columbia

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Tayyebeh Nazeran

University of British Columbia

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Jessica N. McAlpine

University of British Columbia

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Melissa K. McConechy

University of British Columbia

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