Publications of studies that have used Ontario Tumour Bank samples and data:

  1. Fazzari J, Sidhu J, Motkur S, et al.
    Applying Serum Cytokine Levels to Predict Pain Severity in Cancer Patients
    J Pain Res. 2020;13:313-321. https://doi.org/10.2147/JPR.S227175
  2. Rubanova Y, Shi R, Harrigan C, et al.
    Reconstructing evolutionary trajectories of mutation signature activities in cancer using TrackSig
    Nature Communications volume 11, Article number: 731 (2020). https://doi.org/10.1038/s41467-020-14352-7
  3. Bhandari V, Li C, Bristow R.G, et al.
    Divergent mutational processes distinguish hypoxic and normoxic tumours
    Nature Communications volume 11, Article number: 737 (2020) . https://doi.org/10.1038/s41467-019-14052-x
  4. Cmero M, Yuan K, Soon Ong C, et al.
    Inferring structural variant cancer cell fraction
    Nature Communications volume 11, Article number: 730 (2020) . https://doi.org/10.1038/s41467-020-14351-8
  5. Shuai S, PCAWG Drivers and Functional Interpretation Working Group, Gallinger S, et al.
    Combined burden and functional impact tests for cancer driver discovery using DriverPower
    Nature Communications volume 11, Article number: 734 (2020). https://doi.org/10.1038/s41467-019-13929-1
  6. Sieverling L, Hong C, Koser S.D, et al.
    Genomic footprints of activated telomere maintenance mechanisms in cancer
    Nature Communications volume 11, Article number: 733 (2020). https://doi.org/10.1038/s41467-019-13824-9
  7. Zhang Y, Chen F, Fonseca N.A, et al.
    High-coverage whole-genome analysis of 1220 cancers reveals hundreds of genes deregulated by rearrangement-mediated cis-regulatory alterations
    Nature Communications volume 11, Article number: 736 (2020) . https://doi.org/10.1038/s41467-019-13885-w
  8. Jiao W, Atwal G, Polak P, et al.
    A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns
    Nature Communications volume 11, Article number: 728 (2020). https://doi.org/10.1038/s41467-019-13825-8
  9. Reyna M.A, Haan D, Paczkowska M, et al.
    Pathway and network analysis of more than 2500 whole cancer genomes
  10. Paczkowska M, Barenboim J, Sintupisut N, et al.
    Integrative pathway enrichment analysis of multivariate omics data
    Nature Communications volume 11, Article number: 735 (2020). https://doi.org/10.1038/s41467-019-13983-9
  11. Carlevaro-Fita J, Lanzós A
    Cancer LncRNA Census reveals evidence for deep functional conservation of long noncoding RNAs in tumorigenesis
    Communications Biology volume 3, Article number: 56 (2020). https://doi.org/10.1038/s42003-019-0741-7
  12. Yakneen S, Waszak S.M, PCAWG Technical Working Group, Gertz M, et al.
    Butler enables rapid cloud-based analysis of thousands of human genomes
    Nature Biotechnology volume 38, pages288–292(2020). https://doi.org/10.1038/s41587-019-0360-3
  13. Cortés-Ciriano I, Lee J JK, Xi R, et al.
    Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing
    Nature Genetics volume 52, pages331–341(2020). https://doi.org/10.1038/s41588-019-0576-7
  14. Zapatka M, Borozan I, Brewer D.S, et al.
    The landscape of viral associations in human cancers
    Nature Genetics volume 52, pages320–330(2020). https://doi.org/10.1038/s41588-019-0558-9
  15. Rodriguez-Martin B, Alvarez E.G, Baez-Ortega A, et al.
    Pan-cancer analysis of whole genomes identifies driver rearrangements promoted by LINE-1 retrotransposition
    Nature Genetics volume 52, pages306–319(2020). https://doi.org/10.1038/s41588-019-0562-0
  16. Akdemir K.C, Le V.T, Chandran S, et al
    Disruption of chromatin folding domains by somatic genomic rearrangements in human cancer
    Nature Genetics volume 52, pages294–305(2020). https://doi.org/10.1038/s41588-019-0564-y
  17. Yuan Y, Ju Y.S, Kim Y, et al.
    Comprehensive molecular characterization of mitochondrial genomes in human cancers
    Nature Genetics volume 52, pages342–352(2020). https://doi.org/10.1038/s41588-019-0557-x
  18. Rheinbay E, Ju Y.S, Kim Y, et al.
    Analyses of non-coding somatic drivers in 2,658 cancer whole genomes
    Nature volume 578, pages102–111(2020). https://doi.org/10.1038/s41586-020-1965-x
  19. PCAWG Transcriptome Core Group
    Genomic basis for RNA alterations in cancer
    Nature volume 578, pages129–136(2020). https://doi.org/10.1038/s41586-020-1970-0
  20. Gerstung M, Jolly C, Leshchiner I, et al.
    The evolutionary history of 2,658 cancers
    Nature volume 578, pages122–128(2020). https://doi.org/10.1038/s41586-019-1907-7
  21. Alexandrov L.B, Kim J, Haradhvala N.J, et al.
    The repertoire of mutational signatures in human cancer
    Nature volume 578, pages94–101(2020). https://doi.org/10.1038/s41586-020-1943-3
  22. Li Y, Roberts N.D, Wala J.A, et al.
    Patterns of somatic structural variation in human cancer genomes
    Nature volume 578, pages112–121(2020). https://doi.org/10.1038/s41586-019-1913-9
  23. The ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium
    Pan-cancer analysis of whole genomes
    Nature volume 578, pages82–93(2020). https://doi.org/10.1038/s41586-020-1969-6
  24. Sindhwani S, Muhammad A, Ngai J, et al.
    The entry of nanoparticles into solid tumours
    Nature Materials volume 19, pages566–575(2020). https://doi.org/10.1038/s41563-019-0566-2
  25. Snider H, Villavarajan B, Peng Y, et al.
    Region-specific glucocorticoid receptor promoter methylation has both positive and negative prognostic value in patients with estrogen receptor-positive breast cancer
    Clinical Epigenetics volume 11, Article number: 155 (2019). https://doi.org/10.1186/s13148-019-0750-x
  26. Pararajalingam P, Coyle K.M, Arthur S.E, et al.
    Coding and non-coding drivers of mantle cell lymphoma identified through exome and genome sequencing
    blood, March 2020. https://doi.org/10.1182/blood.2019002385
  27. Tordjman J, Majumder M, Amiri M, Hasan A, Hess D, Lala P.K
    Tumor suppressor role of cytoplasmic polyadenylation element binding protein 2 (CPEB2) in human mammary epithelial cells
    BMC Cancer volume 19, Article number: 561 (2019). https://doi.org/10.1186/s12885-019-5771-5
  28. Wang Y, Li G
    PD-1/PD-L1 blockade in cervical cancer: current studies and perspectives
    Frontiers of Medicine,13, pages 438–450 (2019). https://doi.org/10.1007/s11684-018-0674-4
  29. Platko K, Haas-Neill S, Aziz T, Al-Nedawi K
    The role of circulating extracellular vesicles in breast cancer classification and molecular subtyping
    The Breast Journal, September 2018. https://doi.org/10.1111/tbj.13309
  30. Alaroui D.F, Johnston E.M, Farquharson M.J
    Comparison of two X-ray detection systems used to investigate properties ofnormal and malignant breast tissues
    Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. February 2019, https://doi.org/10.1016/j.nima.2019.02.027
  31. Hunter, S.; Nault, B.; Ugwuagbo, K.C.; Maiti, S.; Majumder, M.
    Mir526b and Mir655 Promote Tumour Associated Angiogenesis and Lymphangiogenesis in Breast Cancer
    Cancers 2019, 11(7), 938; https://doi.org/10.3390/cancers11070938
  32. .
    Canadian Tumour Repository Network
    Biopreservation and Biobanking. December 2010, 8(4): 181-185. https://doi.org/10.1089/bio.2010.8405
  33. Kelly R, Albert M, de Ladurantaye M, Moore M, Dokun O, Bartlett J
    RNA and DNA Integrity Remain Stable in Frozen Tissue After Long-Term Storage at Cryogenic Temperatures: A Report from the Ontario Tumour Bank
    Biopreservation and Biobanking 2019. DOI:https://doi.org/10.1089/bio.2018.0095
  34. Ding L, Bailey MH, Porta-Pardo E,
    Perspective on Oncogenic Processes at the End of the Beginning of Cancer Genomics
    Cell 2018. 173, 305–320, DOI:https://doi.org/10.1016/j.cell.2018.03.033
  35. Chen H, Li C, Peng X, Zhou Z, Weinstein JN, The Cancer Genome Atlas Research Network, Liang H
    A Pan-Cancer Analysis of Enhancer Expression in Nearly 9000 Patient Samples
    Cell 2018. 173, 386–399, DOI:https://doi.org/10.1016/j.cell.2018.03.027
  36. Dufresne J, Bowden P, Thavarajah T, Florentinus‑Mefailoski A, et al
    The Plasma Peptides of Ovarian Cancer
    Clin Proteom 2018. 15:41, DOI:https://doi.org/10.1186/s12014-018-9215-z
  37. Hmeljak J, Sanchez-Vega F, Hoadley KA, Shih J, et al
    Integrative Molecular Characterization of Malignant Pleural Mesothelioma
    CANCER DISCOVERY 2018. CD-18-0804, DOI: 10.1158/2159-8290
  38. Wang Y, Xu X, Maglic D, et al
    Comprehensive Molecular Characterization of the Hippo Signaling Pathway in Cancer
    Cell Reports 2018. 25, 1304–1317 , DOI:https://doi.org/10.1016/j.celrep.2018.10.001
  39. Corces MR, Granja JM, Shams S, Louie BH, Seoane JA, Zhou W, et al
    The chromatin accessibility landscape of primary human cancers
    Science 26 Oct 2018: Vol. 362, Issue 6413, eaav1898 DOI: 10.1126/science.aav1898
  40. Korkut A, Zaidi S, Kanchi RS, et al
    A Pan-Cancer Analysis Reveals High-Frequency Genetic Alterations in Mediators of Signaling by the TGF-β Superfamily
    Cell Systems 2018. 7, 422–437, DOI:https://doi.org/10.1016/j.cels.2018.08.010
  41. Kahles A, Lehmann K, Toussaint NC, et al
    Comprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients
    Cancer Cell 2018. 34, 211–224, DOI:https://doi.org/10.1016/j.ccell.2018.07.001
  42. Shen H, Shih J, Hollern DP, et al
    Integrated Molecular Characterization of Testicular Germ Cell Tumors
    Cell Reports 2018. 23, 3392–3406, DOI:https://doi.org/10.1016/j.celrep.2018.05.039
  43. de Kock L, Fahiminiya S, Fiset PO, Astigarraga I, Nguyen VH, Albrecht S, Foulkes WD.
    Infantile Pulmonary Teratoid Tumor
    N Engl J Med. 2018 Jun 7;378(23):2238-2240. doi: 10.1056/NEJMc1803354
  44. Thorsson V, Gibbs DL, Brown SD, et al
    The Immune Landscape of Cancer
    Immunity 2018. 48, 812–830, DOI:https://doi.org/10.1016/j.immuni.2018.03.023
  45. Wang Z, Yang B, Zhang M, et al
    lncRNA Epigenetic Landscape Analysis Identifies EPIC1 as an Oncogenic lncRNA that Interacts with MYC and Promotes Cell-Cycle Progression in Cancer
    Cancer Cell 2018. 33, 706–720, DOI:https://doi.org/10.1016/j.ccell.2018.03.006
  46. Berger AC, Korkut A, Kanchi RS, et al
    A Comprehensive Pan-Cancer Molecular Study of Gynecologic and Breast Cancers
    Cancer Cell 2018. 33, 690–705, DOI:https://doi.org/10.1016/j.ccell.2018.03.014
  47. Liu Y, Sethi NS,Hinoue T, et al
    Comparative Molecular Analysis of Gastrointestinal Adenocarcinomas
    Cancer Cell 2018. 33, 721–735, DOI: https://doi.org/10.1016/j.ccell.2018.03.010
  48. Taylor AM, Shih J, Ha G
    Genomic and Functional Approaches to Understanding Cancer Aneuploidy
    Cancer Cell 2018. 33, 676–689, DOI:https://doi.org/10.1016/j.ccell.2018.03.007
  49. Hoadley KA, Yau C, Hinoue T
    Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer
    Cell 2018. 173, 291–304, DOI:https://doi.org/10.1016/j.cell.2018.03.022
  50. Blum A, Wang P, Zenklusen JC
    SnapShot: TCGA-Analyzed Tumors
    Cell 2018. 173(2):530. doi: 10.1016/j.cell.2018.03.059.
  51. Sanchez-Vega F, Mina M, Armenia J, et al
    Oncogenic Signaling Pathways in The Cancer Genome Atlas
    Cell 2018. 173, 321–337, DOI:https://doi.org/10.1016/j.cell.2018.03.035
  52. Liu J, Lichtenberg T, Hoadley KA, et al
    An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics
    Cell 2018. 173, 400–416, doi:https://doi.org/10.1016/j.cell.2018.02.052
  53. Bailey MH, Tokheim C, Porta-Pardo E et al
    Comprehensive Characterization of Cancer Driver Genes and Mutations
    Cell 2018. 173, 371–385, doi: https://doi.org/10.1016/j.cell.2018.02.060
  54. Malta TM, Sokolov A, Andrew J. Gentles, et al
    Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation
    Cell 2018. 173, 338–354, doi: https://doi.org/10.1016/j.cell.2018.03.034
  55. Huang K, Mashl RJ, Wu Y et al
    Pathogenic Germline Variants in 10,389 Adult Cancers
    Cell 2018. 173, 355–370, doi:https://doi.org/10.1016/j.cell.2018.03.039
  56. Ge Z, Leighton JS, Wang Y, et al
    Integrated Genomic Analysis of the Ubiquitin Pathway across Cancer Types
    Cell Reports 2018. 23, 213–226, doi: https://doi.org/10.1016/j.celrep.2018.03.047
  57. Campbell JD, Yau C, Bowlby R, et al
    Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas
    Cell Reports 2018. 23, 194–212, doi: https://doi.org/10.1016/j.celrep.2018.03.063
  58. Gao Q, Liang W, Foltz SM, et al
    Driver Fusions and Their Implications in the Development and Treatment of Human Cancers
    Cell Reports 2018. 23, 227–238, doi: https://doi.org/10.1016/j.celrep.2018.03.050
  59. Knijnenburg TA
    Wang L, Zimmermann MT, Chambwe N, et al
    Genomic and Molecular Landscape of DNA Damage Repair Deficiency Across The Cancer Genome Atlas
    Cell Reports 2018. 23, 239–254, doi: https://doi.org/10.1016/j.celrep.2018.03.076
  60. Way GP
    Sanchez-Vega F, La K, Armenia J, et al
    Machine Learning Detects Pan-cancer Ras Pathway Activation in The Cancer Genome Atlas
    Cell Reports 2018. 23, 172–180, doi: https://doi.org/10.1016/j.celrep.2018.03.046
  61. Saltz J
    Gupta R, Hou L, Kurc T, Singh P, Nguyen V, et al
    Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images
    Cell Reports 2018. 23, 181–200, doi: https://doi.org/10.1016/j.celrep.2018.03.086
  62. Chiu H
    Somvanshi S, Patel E, Chen T, Singh VP, et al
    Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context
    Cell Reports 2018. 23, 297–312, doi: https://doi.org/10.1016/j.celrep.2018.03.064
  63. Seiler M
    Peng A, Agrawal AA, Palacino J
    et al
    Somatic Mutational Landscape of Splicing Factor Genes and Their Functional Consequences across 33 Cancer Types
    Cell Reports 2018. 23, 282–296, doi: https://doi.org/10.1016/j.celrep.2018.01.088
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    Cao S, Gao Q, Wendl MC
    et al
    Systematic Analysis of Splice-Site-Creating Mutations in Cancer
    Cell Reports 2018. 23, 270–281, doi: https://doi.org/10.1016/j.celrep.2018.03.052
  65. Peng X
    Chen Z, Farshidfar F, Xu X
    et al
    Molecular Characterization and Clinical Relevance of Metabolic Expression Subtypes in Human Cancers
    Cell Reports 2018. 23, 255–273, doi: https://doi.org/10.1016/j.celrep.2018.03.077
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    De Cubas AA, Fan H, Smith CC, Lang M
    et al
    The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma
    Cell Reports 2018. 23, 313–326, doi: https://doi.org/10.1016/j.celrep.2018.03.075
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    Bailey MH, Saksena G, Covington KR, Kandoth C
    et al
    Scalable Open Science Approach for Mutation Calling of Tumor Exomes Using Multiple Genomic Pipelines
    Cell Systems 2018. 6, 271–281. doi: https://doi.org/10.1016/j.cels.2018.03.002
  68. Schuab FX
    Dhankani V, Berger AC
    et al
    Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas
    Cell Systems 2018. 6, 282–300. doi: https://doi.org/10.1016/j.cels.2018.03.003
  69. Le Page C
    Rahimi K, Köbel M, Tonin PN, Meunier L
    et al
    Characteristics and Outcome of the COEUR, Canadian Validation Cohort for Ovarian Cancer Biomarkers
    BMC Cancer 2018. 18:347, doi: https://doi.org/10.1186/s12885-018-4242-8
  70. Al-Hashimi A
    Hoogenes J, Lebeau P, Shayegan B, Austin R
    Disrupting the Interaction Between Anti-GRP78 Autoantibodies and Cell Surface GRP78 With Low Molecular Weight Heparin as a Treatment for Prostate Cancer
    European Urology Supplements 2018. Volume 17, Issue 2, Page e509. doi: https://doi.org/10.1016/S1569-9056(18)31200-4
  71. Al-Hashimi A , Austin R, Shayegan B
    Cell Surface GRP78 Activation by Anti-GRP78 Autoantibodies in Relation to Prostate Tumour Growth via Tissue Factor Activation
    Journal of Clinical Oncology 36, no. 6_suppl (February 20 2018) 31-31. DOI: 10.1200/JCO.2018.36.6_suppl.31
  72. Radovich M
    Pickering CR, Felau I, Ha G, Zhang H
    et al
    The Integrated Genomic Landscape of Thymic Epithelial Tumors
    Cancer Cell 2018. 33, 244–258 doi:https://doi.org/10.1016/j.ccell.2018.01.003
  73. Quevedo R
    Spreafico A, Bruce J, Danesh A, Giesler A
    et al
    Genome Analysis and Data Sharing Informs Timing of Molecular Events in Pancreatic Neuroendocrine Tumour
    bioRxiv 2018. doi:http://dx.doi.org/10.1101/232850
  74. Majumder M
    Dunn L, Liu L, Hasan A, Vincent K, Brackstone M, Hess D, Lala PK
    COX-2 Induces Oncogenic Micro RNA miR655 in Human Breast Cancer
    Sci Rep. 2018 Jan 10;8(1):327. doi: 10.1038/s41598-017-18612-3.
  75. Creed, J., Klotz, L., Harbottle, A. et al
    A single mitochondrial DNA deletion accurately detects significant prostate cancer in men in the PSA ‘grey zone’
    World J Urol (2018) 36: 341. https://doi.org/10.1007/s00345-017-2152-z
  76. The Cancer Genome Atlas Group
    Bartlett J, Sekhon H, Parfitt J
    Comprehensive and Integrated Genomic Characterization of Adult Soft Tissue Sarcomas
    Cell. 2017 November 02; 171(4): 950–965.e28. doi:10.1016/j.cell.2017.10.014.
  77. The Cancer Genome Atlas Group
    Albert M, Alexopoulou V, Bartlett J, Paraffit J
    Comprehensive Molecular Characterization of Muscle-Invasive Bladder Cancer
    Cell 2017. 171, 540–556 DOI: https://doi.org/10.1016/j.cell.2017.09.007
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    53BP1 is a Novel Independent Predictive Biomarker in High-grade Serous Ovarian Cancer
    Poster
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    Kobel M, Rahimi K, Bernardini M, Meunier L, Porlelance L, de Ladurantaye M
    Clinical Characteristics and Outcome of the COEUR Cohort, a Canadian Repository for Ovarian Cancer Biomarker Validation
    Poster 2017
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    Validation of Biomarkers in Epithelial Ovarian Cancer
    Poster
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    Lebeau P, Majeed F, Polena E, Lhotak Š, Collins CAF, Pinthus JH
    et al
    Autoantibodies against the cell surface-associated chaperone GRP78 stimulate tumor growth via tissue factor
    J. Biol. Chem.(2017) 292(51) 21180–21192 DOI: http://www.jbc.org/cgi/doi/10.1074/jbc.M117.799908
  82. The Cancer Genome Atlas Group
    Bartlett J, Albert M, Sekhon H
    Integrated Genomic Characterization of Pancreatic Ductal Adenocarcinoma
    Cancer Cell 2017. 32:185–203, DOI: http://dx.doi.org/10.1016/j.ccell.2017.07.007
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    The 2017 ISBER Annual Meeting & Exhibits: “Due North: Aligning Biobanking Practice with Evolving Evidence and Innovation”
    Biopreservation and Biobanking 2017, 15(3), pp. 280–281 DOI: https://doi.org/10.1089/bio.2017.29024.apj
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    Marcellus KA, Langill J, Ravel-Chapuis A, Michaud J, Cowan KN, Cote J, Jasmin BJ
    Novel Roles for Staufen1 in Embryonal and Alveolar Rhabdomyosarcoma Via c-myc-dependent and independent events
    Scientific Reports 7:42342 (2017) DOI: 10.1038/srep42342
  85. The Cancer Genome Atlas Group
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    Integrated Genomic and Molecular Characterization of Cervical Cancer
    Nature volume 543, pages 378–384, 23 January 2017, doi:10.1038/nature21386
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    Albert M
    The 2017 ISBER Annual Meeting & Exhibits in Toronto “Due North: Aligning Biobanking Practice with Evolving Evidence and Innovation
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    STAT1-associated intratumoural TH1 immunity predicts chemotherapy resistance in high-grade serous ovarian cancer
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    Kobel M, Rahimi K, Bernardini M, Meunier L, Porlelance L, de Ladurantaye M
    COEUR: A pan Canadian platform for the development of biomarker-driven subtype specific management of ovarian cancer
    Poster 2016
  89. Al-Hashimi A
    Shayegan B
    Austin R
    Effect of anti-GRP78 autoantibodies on prostate cancer progression through tissue factor procoagulant activity
    Journal of Clinical Oncology 34, no. 2_suppl (January 2016) 258-258. DOI: 10.1200/jco.2016.34.2_suppl.258
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    COEUR: A pan Canadian platform for the development of biomarker-driven subtype specific management of ovarian cancer
    Poster
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    Finding the Path to Biobank Sustainability Through Sound Business Planning
    Biopreservation and Biobanking 2015 Dec;13(6):385-6 https://doi.org/10.1089/bio.2015.29039.mh
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    CTRNet Management Committee
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    Biopreservation and Biobanking. October 2014, 12(5): 300-305. https://doi.org/10.1089/bio.2014.0052
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    Mueller CR
    Frequent Promoter Hypermethylation and Expression Reduction of the Glucocorticoid Receptor Gene in Breast Tumours
    Epigenetics, 9:6, 851-859, DOI: 10.4161/epi.28484
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    Carter C
    O'Donoghue S
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    Biopreserv Biobank. 2012 Oct;10(5):426-32. doi: 10.1089/bio.2012.0026.
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    Varga JFA
    Specker EJ
    Romeo CM
    Coomber BL
    Uniacke J
    Hypoxia activates cadherin-22 synthesis via eIF4E2 to drive cancer cell migration, invasion and adhesion
    Oncogene. 2017; doi:10.1038/onc.2017.372
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    Uniacke J
    Audas TE
    Holterman CE
    Franovic A
    Payette J
    Lee S
    DNMT3a epigenetic program regulates the HIF-2α oxygen-sensing pathway and the cellular response to hypoxia
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    Rahimi K
    Rambau PF
    Naugler, C
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    An Immunohistochemical Algorithm for Ovarian Carcinoma Typing
    International Journal of Gynecological Pathology. 2016; 35:430–441. DOI: 10.1097/PGP.0000000000000274
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    Integrated genomic characterization of oesophageal carcinoma
    Nature. 2017; doi:10.1038/nature20805.
  100. Loiselle JJ
    Roy JG
    Sutherland LC
    RBM5 reduces small cell lung cancer growth, increases cisplatin sensitivity and regulates key transformation-associated pathways
    Heliyon 2016 2(11): e00204, DOI: 10.1016/j.heliyon.2016.e00204
  101. Majumder M
    Xin X
    Liu L
    Tutunea-Fatan E
    Rodriguez-Torres M
    Vincent K
    Postovit LM
    Hess D
    Lala PK
    COX-2 Induces Breast Cancer Stem Cells via EP4/PI3K/AKT/NOTCH/WNT Axis.
    Stem Cells. 2016; 14. doi: 10.1002/stem.2426.
  102. Ho N
    Coomber B
    Hexokinase II expression is correlated with colorectal cancer prognosis.
    Cancer Treatment and Research Communications. 2016; 6: 11-16. DOI: https://doi.org/10.1016/j.ctrc.2016.02.008
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    Linehan WM
    Spellman PT
    Ricketts CJ
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    Comprehensive Molecular Characterization of Papillary Renal-Cell Carcinoma.
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    Hotte SJ
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