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  • American Association for Cancer Research (AACR)  (4)
  • Yip, Stephen  (4)
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  • American Association for Cancer Research (AACR)  (4)
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  • 1
    In: Molecular Cancer Therapeutics, American Association for Cancer Research (AACR), Vol. 17, No. 1_Supplement ( 2018-01-01), p. A190-A190
    Abstract: Background: The Personalized OncoGenomics (POG) project at the BC Cancer Agency utilizes tumor-normal whole genome sequencing (WGS) to understand key driver pathways and guide personalized treatment decisions. Analysis of the germline data can reveal variants; these may be presumed pathogenic, presumed benign, or of unknown significance (VUS). We have developed a process for evaluating and returning presumed pathogenic variants in known cancer susceptibility genes to patients, for counseling and validation in a clinical-accredited laboratory. Methods: Patients receive germline cancer-related information as part of the consent process for participation in the POG program. A subcommittee comprising medical geneticists, bioinformaticians, pathologists, oncologists, and an ethicist review the germline results. Any variants suspicious of being an artifact undergo a technical validation step. Presumed pathogenic findings of known cancer susceptibility genes are returned to the patient by their treating oncologist and patients are referred to the Hereditary Cancer Program (HCP), for genetic counseling and clinical confirmation. Results: From June 2012-January 2017, 466 patients have consented to the project. To date, 39 cases (8.4%) had at least one variant that was deemed pathogenic, and 86 cases had at least one VUS in a known cancer susceptibility gene. 11 out of 23 cases (47.8%) with high-penetrance mutations were already known to HCP. All VUS were reviewed by the subcommittee, taking into consideration the VUS and clinical context. 8 of the subjects with pathogenic results and 3 with VUS were known to HCP before POG data were generated. A VUS in 7 cases (1.5%) was returned after review. Conclusions: The number of pathogenic variants in known cancer susceptibility genes is consistent with published oncology results. We created a process to manage clinically relevant germline findings discovered during the course of genomic research to ensure appropriate care for patients. Genetic counseling within HCP and validation of variants in the clinically accredited Cancer Genetics Laboratory enables seamless return of research-generated clinically relevant germline results to affected subjects. Citation Format: Howard J. Lim, Kasmintan A. Schrader, Sean Young, Jessica M T Nelson, Alexandra Fok, Erin Pleasance, Martin Jones, Yaoqing Shen, Linlea Armstrong, Alice Virani, Shahrad Rassekh, Rebecca Deyell, Stephen Yip, Robyn Roscoe, Aly Karsan, Marco Marra, Janessa J. Laskin. Management of germline findings revealed throughout the course of tumor-normal whole genome sequencing in oncology [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference: Molecular Targets and Cancer Therapeutics; 2017 Oct 26-30; Philadelphia, PA. Philadelphia (PA): AACR; Mol Cancer Ther 2018;17(1 Suppl):Abstract nr A190.
    Type of Medium: Online Resource
    ISSN: 1535-7163 , 1538-8514
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2018
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  • 2
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 77, No. 13_Supplement ( 2017-07-01), p. 2473-2473
    Abstract: Background: Homologous recombination deficiency (HRD) is common in cancer - germline BRCA1 & BRCA2 mutations account for 5-10% of breast cancers and confer 85% lifetime risk. HRD cancers exhibit genomic instability and sensitivity to platinum-based therapy and PARP inhibitors. While not all causes of HRD are known, recent sequencing efforts have revealed genome-wide somatic mutation signatures that characterize the HRD genomic instability phenotype, also known as “BRCA-ness”. This provides a promising new assay to predict sensitivity to platinum-based therapy. Here, we integrate two whole-genome sequencing metrics to assess their association with therapeutic outcomes in a breast cancer cohort. Methods: Whole-genome sequencing of 47 breast cancer tumors (100x coverage) and matched normals (60x) was performed on an Illumina HiSeq. Alignment, assembly, SNV calling, and loss of heterozygosity (LOH) detection were performed with BWA, ABySS, Strelka, and APOLLOH respectively. SNV signatures were deciphered by non-negative matrix factorization with Monte Carlo resampling. An HRD score comprised of LOH, telomeric allelic imbalance (TAI), and large scale transition (LST) counts was computed. Clinical endpoints were obtained by retrospective review of treatment and imaging reports. Analysis is ongoing in an independent validation cohort of 62 sequenced cases. Results: The HRD-linked SNV signature was significantly associated with radiographic clinical response (CR) to platinum-based therapy (p=0.015). Logistic regression demonstrated a 59% improved odds of CR to platinum-based therapy per 1000 somatic SNVs attributed to HRD (odds ratio 1.16-2.50). Tumors carried up to 10,246 such SNVs and all patients with CR were among the top quartile. The LOH-TAI-LST score was correlated with SNV signature (r=0.6, p=7×10-6) and associated with CR (p=0.025). Notably, elevated HRD signatures associated with CR were identified in tumors with wild-type BRCA1/BRCA2 or variants of unknown significance. Tumors with above median HRD signatures were associated with a 69-day longer time to treatment failure and an 18% daily decreased probability of treatment failure per 1000 HRD-attributed SNVs (hazard ratio 0.71-0.95, p = 0.007). Discussion: We found that HRD mutation signatures are associated with clinical response and longer time to treatment failure with platinum-based therapy. While similar benefits were observed in patients with somatic bi-allelic loss of BRCA1/BRCA2, such cases are less common (8% of our cohort) compared to those with elevated HRD signature. Thus, mutation signature methods may identify patients who stand to benefit from platinum-based therapy missed by BRCA screening alone. Citation Format: Eric Y. Zhao, Yaoqing Shen, Erin Pleasance, Katayoon Kasaian, Martin R. Jones, Carolyn Ch'ng, Caralyn Reisle, Peter Eirew, Karen Mungall, Nina Thiessen, Yussanne Ma, Alexandra Fok, Andrew J. Mungall, Yongjun Zhao, Richard Moore, Diego Villa, Tamara Shenkier, Caroline Lohrisch, Stephen Chia, Stephen Yip, Karen Gelmon, Howard Lim, Sophie Sun, Kasmintan A. Schrader, Sean Young, Aly Karsan, Robyn Roscoe, Janessa Laskin, Marco A. Marra, Steven J. Jones. Breast cancer whole genomes link homologous recombination deficiency (HRD) with therapeutic outcomes [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 2473. doi:10.1158/1538-7445.AM2017-2473
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2017
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  • 3
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 76, No. 24_Supplement ( 2016-12-15), p. B81-B81
    Abstract: 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.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    RVK:
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2016
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  • 4
    In: Clinical Cancer Research, American Association for Cancer Research (AACR), Vol. 23, No. 24 ( 2017-12-15), p. 7521-7530
    Abstract: Purpose: Recent studies have identified mutation signatures of homologous recombination deficiency (HRD) in over 20% of breast cancers, as well as pancreatic, ovarian, and gastric cancers. There is an urgent need to understand the clinical implications of HRD signatures. Whereas BRCA1/2 mutations confer sensitivity to platinum-based chemotherapies, it is not yet clear whether mutation signatures can independently predict platinum response. Experimental Design: In this observational study, we sequenced tumor whole genomes (100× depth) and matched normals (60×) of 93 advanced-stage breast cancers (33 platinum-treated). We computed a published metric called HRDetect, independently trained to predict BRCA1/2 status, and assessed its capacity to predict outcomes on platinum-based chemotherapies. Clinical endpoints were overall survival (OS), total duration on platinum-based therapy (TDT), and radiographic evidence of clinical improvement (CI). Results: HRDetect predicted BRCA1/2 status with an area under the curve (AUC) of 0.94 and optimal threshold of 0.7. Elevated HRDetect was also significantly associated with CI on platinum-based therapy (AUC = 0.89; P = 0.006) with the same optimal threshold, even after adjusting for BRCA1/2 mutation status and treatment timing. HRDetect scores over 0.7 were associated with a 3-month extended median TDT (P = 0.0003) and 1.3-year extended median OS (P = 0.04). Conclusions: Our findings not only independently validate HRDetect, but also provide the first evidence of its association with platinum response in advanced breast cancer. We demonstrate that HRD mutation signatures may offer clinically relevant information independently of BRCA1/2 mutation status and hope this work will guide the development of clinical trials. Clin Cancer Res; 23(24); 7521–30. ©2017 AACR.
    Type of Medium: Online Resource
    ISSN: 1078-0432 , 1557-3265
    RVK:
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2017
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