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Featured researches published by Chia-Ling Gau.


Genetics in Medicine | 2014

Utilization of multigene panels in hereditary cancer predisposition testing: analysis of more than 2,000 patients

Holly LaDuca; A. J. Stuenkel; Jill S. Dolinsky; Steven Keiles; Stephany Tandy; Tina Pesaran; Elaine Chen; Chia-Ling Gau; Erika Palmaer; Kamelia Shoaepour; Divya Shah; Virginia Speare; Stephanie Gandomi; Elizabeth C. Chao

Purpose:The aim of this study was to determine the clinical and molecular characteristics of 2,079 patients who underwent hereditary cancer multigene panel testing.Methods:Panels included comprehensive analysis of 14–22 cancer susceptibility genes (BRCA1 and BRCA2 not included), depending on the panel ordered (BreastNext, OvaNext, ColoNext, or CancerNext). Next-generation sequencing and deletion/duplication analyses were performed for all genes except EPCAM (deletion/duplication analysis only). Clinical histories of ColoNext patients harboring mutations in genes with well-established diagnostic criteria were assessed to determine whether diagnostic/testing criteria were met.Results:Positive rates were defined as the proportion of patients with a pathogenic mutation/likely pathogenic variant(s) and were as follows: 7.4% for BreastNext, 7.2% for OvaNext, 9.2% for ColoNext, and 9.6% for CancerNext. Inconclusive results were found in 19.8% of BreastNext, 25.6% of OvaNext, 15.1% of ColoNext, and 23.5% of CancerNext tests. Based on information submitted by clinicians, 30% of ColoNext patients with mutations in genes with well-established diagnostic criteria did not meet corresponding criteria.Conclusion:Our data point to an important role for targeted multigene panels in diagnosing hereditary cancer predisposition, particularly for patients with clinical histories spanning several possible diagnoses and for patients with suspicious clinical histories not meeting diagnostic criteria for a specific hereditary cancer syndrome.Genet Med 16 11, 830–837.


Journal of Clinical Oncology | 2017

Multigene Panel Testing Provides a New Perspective on Lynch Syndrome

Carin R. Espenschied; Holly LaDuca; Shuwei Li; Rachel McFarland; Chia-Ling Gau; Heather Hampel

Purpose Most existing literature describes Lynch syndrome (LS) as a hereditary syndrome leading to high risks of colorectal cancer (CRC) and endometrial cancer mainly as a result of mutations in MLH1 and MSH2. Most of these studies were performed on cohorts with disease suggestive of hereditary CRC and population-based CRC and endometrial cancer cohorts, possibly biasing results. We aimed to describe a large cohort of mismatch repair (MMR) mutation carriers ascertained through multigene panel testing, evaluate their phenotype, and compare the results with those of previous studies. Methods We retrospectively reviewed clinical histories of patients who had multigene panel testing, including the MMR and EPCAM genes, between March 2012 and June 2015 (N = 34,981) and performed a series of statistical comparisons. Results Overall, MSH6 mutations were most frequent, followed by PMS2, MSH2, MLH1, and EPCAM mutations, respectively. Of 528 patients who had MMR mutations, 63 (11.9%) had breast cancer only and 144 (27.3%) had CRC only. When comparing those with breast cancer only to those with CRC only, MSH6 and PMS2 mutations were more frequent than MLH1 and MSH2 mutations ( P = 2.3 × 10-5). Of the 528 patients, 22.2% met BRCA1 and BRCA2 ( BRCA1/2) testing criteria and not LS criteria, and 5.1% met neither BRCA1/2 nor LS testing criteria. MSH6 and PMS2 mutations were more frequent than MLH1 and MSH2 mutations among patients who met BRCA1/2 testing criteria but did not meet LS testing criteria ( P = 4.3 × 10-7). Conclusion These results provide a new perspective on LS and suggest that individuals with MSH6 and PMS2 mutations may present with a hereditary breast and ovarian cancer phenotype. These data also highlight the limitations of current testing criteria in identifying these patients, as well as the need for further investigation of cancer risks in patients with MMR mutations.


Case reports in genetics | 2014

Clinical report of a 17q12 microdeletion with additionally unreported clinical features.

Jennifer L. Roberts; Stephanie K. Gandomi; Melissa Parra; Ira Lu; Chia-Ling Gau; Majed Dasouki; Merlin G. Butler

Copy number variations involving the 17q12 region have been associated with developmental and speech delay, autism, aggression, self-injury, biting and hitting, oppositional defiance, inappropriate language, and auditory hallucinations. We present a tall-appearing 17-year-old boy with marfanoid habitus, hypermobile joints, mild scoliosis, pectus deformity, widely spaced nipples, pes cavus, autism spectrum disorder, intellectual disability, and psychiatric manifestations including physical and verbal aggression, obsessive-compulsive behaviors, and oppositional defiance. An echocardiogram showed borderline increased aortic root size. An abdominal ultrasound revealed a small pancreas, mild splenomegaly with a 1.3 cm accessory splenule, and normal kidneys and liver. A testing panel for Marfan, aneurysm, and related disorders was negative. Subsequently, a 400 K array-based comparative genomic hybridization (aCGH) + SNP analysis was performed which identified a de novo suspected pathogenic deletion on chromosome 17q12 encompassing 28 genes. Despite the limited number of cases described in the literature with 17q12 rearrangements, our probands phenotypic features both overlap and expand on previously reported cases. Since syndrome-specific DNA sequencing studies failed to provide an explanation for this patients unusual habitus, we postulate that this case represents an expansion of the 17q12 microdeletion phenotype. Further analysis of the deleted interval is recommended for new genotype-phenotype correlations.


The Journal of Molecular Diagnostics | 2015

Processed Pseudogene Confounding Deletion/Duplication Assays for SMAD4

Alison Millson; Tracey Lewis; Tina Pesaran; David Salvador; Katrina Gillespie; Chia-Ling Gau; Genevieve Pont-Kingdon; Elaine Lyon; Pinar Bayrak-Toydemir

Mutations in SMAD4 have been associated with juvenile polyposis syndrome and combined juvenile polyposis/hereditary hemorrhagic telangiectasia syndrome. SMAD4 is part of the SMAD gene family. To date, there has been no report in the literature of a SMAD4 pseudogene. An unusual SMAD4 duplication pattern was seen in multiple patient samples using two different duplication/deletion platforms: multiplex ligation-dependent probe amplification and chromosomal microarray. Follow-up confirmatory testing included real-time quantitative PCR and sequencing of an exon/exon junction, all results leading to the conclusion of the existence of a processed pseudogene. Examination of clinical results from two laboratories found a frequency of 0.26% (12 in 4672 cases) for this processed pseudogene. This is the first report of the presence of a processed pseudogene for SMAD4. We believe that knowledge of its existence is important for accurate interpretation of clinical diagnostic test results and for new assay designs. This study also indicates how a processed pseudogene may confound quantitative results, dependent on placement of probes and/or primers in a particular assay design, potentially leading to both false-positive and false-negative results. We also found that the SMAD4 processed pseudogene affects next-generation sequencing results by confounding the alignment of the sequences, resulting in erroneous variant calls. We recommend Sanger sequencing confirmation for SMAD4 variants.


Genetics in Medicine | 2018

Somatic TP53 variants frequently confound germ-line testing results

Jeffrey N. Weitzel; Elizabeth C. Chao; Bita Nehoray; Lily Ravel Van Tongeren; Holly LaDuca; Kathleen R. Blazer; Thomas P. Slavin; D A B M D Facmg; Tina Pesaran; Christina Rybak; Ilana Solomon; Mariana Niell-Swiller; Jill S. Dolinsky; Danielle Castillo; Aaron M. Elliott; Chia-Ling Gau; Virginia Speare; Kory Jasperson

PurposeBlood/saliva DNA is thought to represent the germ line in genetic cancer-risk assessment. Cases with pathogenic TP53 variants detected by multigene panel testing are often discordant with Li-Fraumeni syndrome, raising concern about misinterpretation of acquired aberrant clonal expansions (ACEs) with TP53 variants as germ-line results.MethodsPathogenic TP53 variants with abnormal next-generation sequencing metrics (e.g., decreased ratio (<25%) of mutant to wild-type allele, more than two detected alleles) were selected from a CLIA laboratory testing cohort. Alternate tissues and/or close relatives were tested to distinguish between ACE and germ-line status. Clinical data and Li-Fraumeni syndrome testing criteria were examined.ResultsAmong 114,630 multigene panel tests and 1,454 TP53 gene-specific analyses, abnormal next-generation sequencing metrics were observed in 20% of 353 TP53-positive results, and ACE was confirmed for 91% of cases with ancillary materials, most of these due to clonal hematopoiesis. Only four met Chompret criteria. Individuals with ACE were older (50 years vs. 33.7; P = 0.02) and were identified more frequently in multigene panel tests (66/285; 23.2%) than in TP53 gene-specific tests (6/68; 8.8%, P = 0.005).ConclusionACE confounds germ-line diagnosis, may portend hematologic malignancy, and may provoke unwarranted clinical interventions. Ancillary testing to confirm germ-line status should precede Li-Fraumeni syndrome management.


PLOS ONE | 2018

A Bayesian framework for efficient and accurate variant prediction

Dajun Qian; Shuwei Li; Yuan Tian; Jacob W. Clifford; Brice A. J. Sarver; Tina Pesaran; Chia-Ling Gau; Aaron M. Elliott; Hsiao-Mei Lu; Mary Helen Black

There is a growing need to develop variant prediction tools capable of assessing a wide spectrum of evidence. We present a Bayesian framework that involves aggregating pathogenicity data across multiple in silico scores on a gene-by-gene basis and multiple evidence statistics in both quantitative and qualitative forms, and performs 5-tiered variant classification based on the resulting probability credible interval. When evaluated in 1,161 missense variants, our gene-specific in silico model-based meta-predictor yielded an area under the curve (AUC) of 96.0% and outperformed all other in silico predictors. Multifactorial model analysis incorporating all available evidence yielded 99.7% AUC, with 22.8% predicted as variants of uncertain significance (VUS). Use of only 3 auto-computed evidence statistics yielded 98.6% AUC with 56.0% predicted as VUS, which represented sufficient accuracy to rapidly assign a significant portion of VUS to clinically meaningful classifications. Collectively, our findings support the use of this framework to conduct large-scale variant prioritization using in silico predictors followed by variant prediction and classification with a high degree of predictive accuracy.


Oncotarget | 2018

TumorNext-Lynch-MMR: a comprehensive next generation sequencing assay for the detection of germline and somatic mutations in genes associated with mismatch repair deficiency and Lynch syndrome.

Phillip N. Gray; Pei Tsai; Daniel Chen; Sitao Wu; Jayne Hoo; Wenbo Mu; Bing Li; Huy Gia Vuong; Hsiao-Mei Lu; Navanjot Batth; Sara Willett; Lisa Uyeda; Swati Shah; Chia-Ling Gau; Monalyn Umali; Carin Espenschied; Mike Janicek; Sandra Brown; David Margileth; Lavinia Dobrea; Lawrence D. Wagman; Huma Rana; Michael J. Hall; Theodora Ross; Jonathan P. Terdiman; Carey A. Cullinane; Savita Ries; Ellen Totten; Aaron M. Elliott

The current algorithm for Lynch syndrome diagnosis is highly complex with multiple steps which can result in an extended time to diagnosis while depleting precious tumor specimens. Here we describe the analytical validation of a custom probe-based NGS tumor panel, TumorNext-Lynch-MMR, which generates a comprehensive genetic profile of both germline and somatic mutations that can accelerate and streamline the time to diagnosis and preserve specimen. TumorNext-Lynch-MMR can detect single nucleotide variants, small insertions and deletions in 39 genes that are frequently mutated in Lynch syndrome and colorectal cancer. Moreover, the panel provides microsatellite instability status and detects loss of heterozygosity in the five Lynch genes; MSH2, MSH6, MLH1, PMS2 and EPCAM. Clinical cases are described that highlight the assays ability to differentiate between somatic and germline mutations, precisely classify variants and resolve discordant cases.


Archive | 2015

Utilization of Multigene Panels in Hereditary Cancer Predisposition Testing

Holly LaDuca; Tina Pesaran; Aaron M. Elliott; Virginia Speare; Jill S. Dolinsky; Chia-Ling Gau; Elizabeth C. Chao

Hereditary cancer diagnostics is rapidly evolving with the increased availability and uptake of next-generation sequencing (NGS)-based multigene panels. Multigene panels offer several advantages such as time- and cost-effectiveness, and have been shown to be a useful diagnostic tool, particularly for cases suggestive of multiple different hereditary cancer conditions and for atypical phenotypes. However, there are many important considerations in the clinical use of multigene panels in hereditary cancer predisposition testing, from both clinic and laboratory perspectives. There are currently limited resources to guide clinicians in ordering multigene panels and managing patients with significant findings in lesser known genes. In addition, the development of clinical grade NGS-based panels is complex, and laboratories differ in various aspects of testing methodology. In this chapter, we review the various aspects of multigene panel workflow including target enrichment, NGS, bioinformatics, and interpretation of results. Results from our laboratory’s experience with over 20,000 hereditary cancer panel cases are also summarized, with a focus on frequently mutated moderate penetrance genes, atypical phenotypes, and mosaic results.


Cancer Research | 2015

Abstract P4-12-16: Teasing out the PALB2 phenotype

Emily Dalton; Rachel McFarland; Holly LaDuca; Shuwei Li; Chia-Ling Gau

Background: Biallelic mutations in PALB2 (Partner and Localizer of BRCA2) are known to cause Fanconi Anemia Type N. Multiple reports have demonstrated an increased risk for cancer in individuals heterozygous for PALB2 mutations. For example, a recent study by Antoniou et al reported a 33-58% lifetime risk for breast cancer in PALB2 mutation carriers, with 30% of carriers reporting triple negative breast cancer (TNBC). Other studies have suggested associations between PALB2 heterozygosity and pancreatic cancer, ovarian cancer, male breast cancer, and prostate cancer as well. We aimed to better define PALB2 phenotypes by assessing clinical history of TNBC, pancreatic, ovarian, and prostate cancers amongst PALB2 mutation carriers identified via multigene panel testing. Methods: We reviewed clinical histories of 11,007 individuals who underwent PALB2 sequence and deletion/duplication analysis as part of a multigene hereditary cancer panel. Descriptive statistics were utilized for clinical histories of PALB2 carriers, and chi square analysis was used to compare clinical histories of PALB2 mutation carriers to mutation-negative controls. Individuals with mutations in other cancer susceptibility genes were excluded from analysis. Results: A total of 98 PALB2 mutation carriers identified among 9610 individuals were included in our analysis. The majority of mutation carriers were Caucasian (80%) and female (92.8%). All identified mutations were truncating (nonsense, frameshift, or gross deletions). No pathogenic missense mutations were identified in this cohort. 77.6% (n=76) of mutation carriers had breast cancer, diagnosed at a mean age of 48. Hormone receptor status was available for 48 mutation carriers and 2469 controls. 37.5% (18/48) of breast cancers in mutation carriers were reported as triple negative, compared to 17.1% (423/2469) of breast cancers in controls (OR: 2.9 ; p= 0.0002). 7.8% (n= 8) of PALB2 mutation carriers had ovarian cancer. There was no significant difference in the incidence of ovarian cancer between PALB2 mutation carriers and controls (OR: 0.65 ; p= 0.25). Additionally, mutation carriers were significantly less likely to have a family history of ovarian cancer than controls (OR: 0.5; p= 0.02). 5.9% (n=6) of mutation carriers had pancreatic cancer, diagnosed at a mean age of 57.8, compared to 61 for controls. PALB2 mutation carriers were 1.3 times more likely to have personal and/or family history of pancreatic cancer, although this was not statistically significant (p= 0.22). Similarly, PALB2 mutation carriers were 1.5 times more likely to have a family history of prostate cancer, although this was not statistically significant (p= 0.09). Conclusions: Our data supports existing literature associating PALB2 mutations with TNBC. We did not observe significant associations between PALB2 carrier status and a clinical history of pancreatic, prostate, or ovarian cancers. However, this data should be interpreted with caution, as it is possible that unidentified genetic factors contributed to the clinical history of cancer in our mutation-negative controls. Investigation of PALB2-associated cancer risks in an unselected prospective cohort would help to further elucidate the PALB2 phenotype. Citation Format: Emily K Dalton, Rachel McFarland, Holly Laduca, Shuwei Li, Chia-Ling Gau. Teasing out the PALB2 phenotype [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P4-12-16.


Cancer Research | 2014

Abstract 14: Identification of probands with multiple mutations in cancer susceptibility genes using a multigene panel approach

Chia-Ling Gau; Holly LaDuca; Hong Lu; A. J. Stuenkel; Tina Pesaran; Elaine Chen; Jill M. Siegfried; Sharon Mexal; Robert Hoiness; Jill Cook; John Copenhaver; Elizabeth C. Chao

The multi-gene hereditary cancer panel testing approach allows for the identification of probands carrying multiple mutations in hereditary cancer predisposition genes. The purpose of this study is to assess the frequency and phenotypes of individuals in our hereditary cancer panel cohort carrying multiple mutations in hereditary cancer predisposition genes. From March 2012 through October 2013, results were reported for 4382 individuals who underwent hereditary cancer panel testing at our laboratory. Panels included comprehensive analysis of 14-24 genes, depending on the panel ordered. Genes analyzed on each panel included both genes associated with defined hereditary cancer syndromes and genes not yet associated with a defined hereditary cancer syndrome, with moderate to high penetrance estimates. Panel results were reviewed to determine the number of probands carrying multiple pathogenic mutations or likely pathogenic variants in the genes analyzed, and retrospective test requisition form review was used to obtain clinician-reported clinical history information. Biallelic MUTYH mutation carriers were not counted as multiple mutation cases, nor were individuals carrying a monoallelic MUTYH mutation in combination with a mutation in a different gene. Nine probands (0.2%) were identified to carry two cancer-predisposing mutations. Mutations included 7 small insertions/deletions, 1 nonsense, 4 missense, 3 splicing, and 3 gross deletions. Five individuals carried two mutations in moderately-penetrant cancer susceptibility genes not associated with a defined hereditary cancer syndrome. Mutated gene combinations included CHEK2/CHEK2 (confirmed to be in trans), ATM/RAD50 , ATM/CHEK2 (identified in two probands), and MRE11A/PALB2 . Two individuals carried one mutation in a moderately-penetrant gene and one mutation in a highly-penetrant gene associated with a defined hereditary cancer syndrome ( ATM/MSH6 and MLH1/CHEK2 ). The remaining two individuals carried two mutations in highly-penetrant genes ( MSH6/MSH6 (phase unknown) and MSH2/MSH6 ). The average age at first primary cancer diagnosis was 42 years (range 16-66 years). All probands had a history of cancer, including six of the nine probands with a reported history of more than one primary cancer diagnosis. Results from this study indicate that a minority of probands undergoing hereditary cancer panel testing are identified to carry multiple mutations in cancer susceptibility genes. This data highlights the need for further research to determine the clinical implications of carrying multiple mutations in cancer susceptibility genes, particularly for those with mutations in moderately-penetrant genes. Detailed pedigree analysis, co-segregation analysis, and longitudinal follow-up will be helpful in clarifying cancer risks in these probands and the significance of multiple mutations in cancer susceptibility genes. Citation Format: Chia-Ling Gau, Holly LaDuca, Hong Lu, AJ Stuenkel, Tina Pesaran, Elaine Chen, Jill Siegfried, Sharon Mexal, Robert Hoiness, Jill Cook, John Copenhaver, Elizabeth Chao. Identification of probands with multiple mutations in cancer susceptibility genes using a multigene panel approach. [abstract]. In: Proceedings of the AACR Special Conference: Cancer Susceptibility and Cancer Susceptibility Syndromes; Jan 29-Feb 1, 2014; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(23 Suppl):Abstract nr 14. doi:10.1158/1538-7445.CANSUSC14-14

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Bita Nehoray

City of Hope National Medical Center

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Carey A. Cullinane

City of Hope National Medical Center

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Danielle Castillo

City of Hope National Medical Center

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