Molecular changes during extended neoadjuvant letrozole treatment of breast cancer: distinguishing acquired resistance from dormant tumours View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Cigdem Selli, Arran K. Turnbull, Dominic A. Pearce, Ang Li, Anu Fernando, Jimi Wills, Lorna Renshaw, Jeremy S. Thomas, J. Michael Dixon, Andrew H. Sims

ABSTRACT

BACKGROUND: The risk of recurrence for endocrine-treated breast cancer patients persists for many years or even decades following surgery and apparently successful adjuvant therapy. This period of dormancy and acquired resistance is inherently difficult to investigate; previous efforts have been limited to in-vitro or in-vivo approaches. In this study, sequential tumour samples from patients receiving extended neoadjuvant aromatase inhibitor therapy were characterised as a novel clinical model. METHODS: Consecutive tumour samples from 62 patients undergoing extended (4-45 months) neoadjuvant aromatase inhibitor therapy with letrozole were subjected to transcriptomic and proteomic analysis, representing before (≤ 0), early (13-120 days), and long-term (> 120 days) neoadjuvant aromatase inhibitor therapy with letrozole. Patients with at least a 40% initial reduction in tumour size by 4 months of treatment were included. Of these, 42 patients with no subsequent progression were classified as "dormant", and the remaining 20 patients as "acquired resistant". RESULTS: Changes in gene expression in dormant tumours begin early and become more pronounced at later time points. Therapy-induced changes in resistant tumours were common features of treatment, rather than being specific to the resistant phenotype. Comparative analysis of long-term treated dormant and resistant tumours highlighted changes in epigenetics pathways including DNA methylation and histone acetylation. The DNA methylation marks 5-methylcytosine and 5-hydroxymethylcytosine were significantly reduced in resistant tumours compared with dormant tissues after extended letrozole treatment. CONCLUSIONS: This is the first patient-matched gene expression study investigating long-term aromatase inhibitor-induced dormancy and acquired resistance in breast cancer. Dormant tumours continue to change during treatment whereas acquired resistant tumours more closely resemble their diagnostic samples. Global loss of DNA methylation was observed in resistant tumours under extended treatment. Epigenetic alterations may lead to escape from dormancy and drive acquired resistance in a subset of patients, supporting a potential role for therapy targeted at these epigenetic alterations in the management of resistance to oestrogen deprivation therapy. More... »

PAGES

2

References to SciGraph publications

  • 2017. Filter-Aided Sample Preparation (FASP) for Improved Proteome Analysis of Recombinant Chinese Hamster Ovary Cells in HETEROLOGOUS PROTEIN PRODUCTION IN CHO CELLS
  • 2000-08. Molecular portraits of human breast tumours in NATURE
  • 2015-05. Mechanisms of aromatase inhibitor resistance in NATURE REVIEWS CANCER
  • 2013-12. Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool in BMC BIOINFORMATICS
  • 2013-12. Clinical instability of breast cancer markers is reflected in long-term in vitro estrogen deprivation studies in BMC CANCER
  • 2009-11. Systematic RNA interference reveals that oncogenic KRAS-driven cancers require TBK1 in NATURE
  • 2014-09. Mechanisms of disseminated cancer cell dormancy: an awakening field in NATURE REVIEWS CANCER
  • 2016-03. Inhibition of histone deacetylases in cancer therapy: lessons from leukaemia in BRITISH JOURNAL OF CANCER
  • 2016-12. Downregulation of histone H2A and H2B pathways is associated with anthracycline sensitivity in breast cancer in BREAST CANCER RESEARCH
  • 2010-11. Biological reprogramming in acquired resistance to endocrine therapy of breast cancer in ONCOGENE
  • 2010-08. Changes in expression of oestrogen regulated and proliferation genes with neoadjuvant treatment highlight heterogeneity of clinical resistance to the aromatase inhibitor, letrozole in BREAST CANCER RESEARCH
  • 2008-12. MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification in NATURE BIOTECHNOLOGY
  • 2014-03. S100P antibody-mediated therapy as a new promising strategy for the treatment of pancreatic cancer in ONCOGENESIS
  • 2008-12. Approaches towards expression profiling the response to treatment in BREAST CANCER RESEARCH
  • 2010-12. Recurrence and mortality according to Estrogen Receptor status for breast cancer patients undergoing conservative surgery. Ipsilateral breast tumour recurrence dynamics provides clues for tumour biology within the residual breast in BMC CANCER
  • 1998-09. Estimate of tumor growth time for breast cancer local recurrences: rapid growth after wake-up? in BREAST CANCER RESEARCH AND TREATMENT
  • 2013-02. HDAC inhibitors induce tumor-cell-selective pro-apoptotic transcriptional responses in CELL DEATH & DISEASE
  • 2016-12. Cholesterol biosynthesis pathway as a novel mechanism of resistance to estrogen deprivation in estrogen receptor-positive breast cancer in BREAST CANCER RESEARCH
  • 2016-12. Accurate prediction of response to endocrine therapy in breast cancer patients: current and future biomarkers in BREAST CANCER RESEARCH
  • 2014-02. Role of the androgen receptor in breast cancer and preclinical analysis of enzalutamide in BREAST CANCER RESEARCH
  • 2009-08. Characterization of the weak estrogen receptor α agonistic activity of exemestane in BREAST CANCER RESEARCH AND TREATMENT
  • 2016-06. Plasma S100P level as a novel prognostic marker of metastatic breast cancer in BREAST CANCER RESEARCH AND TREATMENT
  • 2008-10. A candidate molecular signature associated with tamoxifen failure in primary breast cancer in BREAST CANCER RESEARCH
  • 2012-12. Direct integration of intensity-level data from Affymetrix and Illumina microarrays improves statistical power for robust reanalysis in BMC MEDICAL GENOMICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s13058-018-1089-5

    DOI

    http://dx.doi.org/10.1186/s13058-018-1089-5

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1111253230

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30616553


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1112", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Oncology and Carcinogenesis", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Medical and Health Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Ege University", 
              "id": "https://www.grid.ac/institutes/grid.8302.9", 
              "name": [
                "Applied Bioinformatics of Cancer, University of Edinburgh Cancer Research UK Centre, MRC Institute of Genetics and Molecular Medicine, Edinburgh, UK", 
                "Department of Pharmacology, Faculty of Pharmacy, Ege University, 35040, Izmir, Turkey"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Selli", 
            "givenName": "Cigdem", 
            "id": "sg:person.01267570076.69", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01267570076.69"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Western General Hospital", 
              "id": "https://www.grid.ac/institutes/grid.417068.c", 
              "name": [
                "Applied Bioinformatics of Cancer, University of Edinburgh Cancer Research UK Centre, MRC Institute of Genetics and Molecular Medicine, Edinburgh, UK", 
                "Edinburgh Breast Unit, Western General Hospital, Edinburgh, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Turnbull", 
            "givenName": "Arran K.", 
            "id": "sg:person.01000465545.81", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01000465545.81"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Edinburgh", 
              "id": "https://www.grid.ac/institutes/grid.4305.2", 
              "name": [
                "Applied Bioinformatics of Cancer, University of Edinburgh Cancer Research UK Centre, MRC Institute of Genetics and Molecular Medicine, Edinburgh, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Pearce", 
            "givenName": "Dominic A.", 
            "id": "sg:person.015765264351.85", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015765264351.85"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Edinburgh", 
              "id": "https://www.grid.ac/institutes/grid.4305.2", 
              "name": [
                "Applied Bioinformatics of Cancer, University of Edinburgh Cancer Research UK Centre, MRC Institute of Genetics and Molecular Medicine, Edinburgh, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Li", 
            "givenName": "Ang", 
            "id": "sg:person.016434074270.73", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016434074270.73"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Western General Hospital", 
              "id": "https://www.grid.ac/institutes/grid.417068.c", 
              "name": [
                "Applied Bioinformatics of Cancer, University of Edinburgh Cancer Research UK Centre, MRC Institute of Genetics and Molecular Medicine, Edinburgh, UK", 
                "Edinburgh Breast Unit, Western General Hospital, Edinburgh, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Fernando", 
            "givenName": "Anu", 
            "id": "sg:person.013112123634.87", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013112123634.87"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Mass Spectrometry Unit, MRC Institute of Genetics and Molecular Medicine, Edinburgh, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wills", 
            "givenName": "Jimi", 
            "id": "sg:person.015353303510.28", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015353303510.28"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Western General Hospital", 
              "id": "https://www.grid.ac/institutes/grid.417068.c", 
              "name": [
                "Edinburgh Breast Unit, Western General Hospital, Edinburgh, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Renshaw", 
            "givenName": "Lorna", 
            "id": "sg:person.01327553725.02", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01327553725.02"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Western General Hospital", 
              "id": "https://www.grid.ac/institutes/grid.417068.c", 
              "name": [
                "Edinburgh Breast Unit, Western General Hospital, Edinburgh, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Thomas", 
            "givenName": "Jeremy S.", 
            "id": "sg:person.01246155230.31", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01246155230.31"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Western General Hospital", 
              "id": "https://www.grid.ac/institutes/grid.417068.c", 
              "name": [
                "Edinburgh Breast Unit, Western General Hospital, Edinburgh, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Dixon", 
            "givenName": "J. Michael", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Edinburgh", 
              "id": "https://www.grid.ac/institutes/grid.4305.2", 
              "name": [
                "Applied Bioinformatics of Cancer, University of Edinburgh Cancer Research UK Centre, MRC Institute of Genetics and Molecular Medicine, Edinburgh, UK"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sims", 
            "givenName": "Andrew H.", 
            "id": "sg:person.0735265646.74", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0735265646.74"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1021/ac026117i", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000183287"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ac026117i", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000183287"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1200/jco.2014.57.8963", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000272432"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/bcr2196", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000921383", 
              "https://doi.org/10.1186/bcr2196"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ejca.2010.02.027", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001200184"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature08460", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002209653", 
              "https://doi.org/10.1038/nature08460"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature08460", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002209653", 
              "https://doi.org/10.1038/nature08460"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrc3920", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002266189", 
              "https://doi.org/10.1038/nrc3920"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/bjc.2016.36", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003603071", 
              "https://doi.org/10.1038/bjc.2016.36"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/bcr2611", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003636949", 
              "https://doi.org/10.1186/bcr2611"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/bcr2611", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003636949", 
              "https://doi.org/10.1186/bcr2611"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2407-13-473", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006137864", 
              "https://doi.org/10.1186/1471-2407-13-473"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.18632/oncotarget.5951", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006496990"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/0008-5472.can-05-2605", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007952793"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/bcr2158", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011925419", 
              "https://doi.org/10.1186/bcr2158"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btl476", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014813446"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1755-8794-5-35", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015894212", 
              "https://doi.org/10.1186/1755-8794-5-35"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/onc.2010.333", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017906526", 
              "https://doi.org/10.1038/onc.2010.333"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/onc.2010.333", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017906526", 
              "https://doi.org/10.1038/onc.2010.333"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2407-10-656", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018961953", 
              "https://doi.org/10.1186/1471-2407-10-656"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/tbj.12596", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019236996"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.0907560106", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019325009"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/0008-5472.can-14-0620", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021403647"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/0008-5472.can-14-0620", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021403647"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/bioinformatics/btn224", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021766380"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/1078-0432.ccr-10-1282", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021940935"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/nar/gkw880", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022739704"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/bcr3599", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025546025", 
              "https://doi.org/10.1186/bcr3599"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrc3793", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028687018", 
              "https://doi.org/10.1038/nrc3793"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1200/jco.2016.69.4406", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028791642"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13058-016-0713-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029945487", 
              "https://doi.org/10.1186/s13058-016-0713-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/1078-0432.ccr-13-0838", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030020773"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.18632/oncotarget.316", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030818607"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1008522107", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031504669"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.mce.2015.09.035", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032901034"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/35021093", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033846543", 
              "https://doi.org/10.1038/35021093"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10549-016-3776-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034391776", 
              "https://doi.org/10.1007/s10549-016-3776-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13058-016-0676-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036908956", 
              "https://doi.org/10.1186/s13058-016-0676-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/1078-0432.ccr-12-1000", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037454930"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/1078-0432.ccr-13-1378", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037638662"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1039/c5mb00663e", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039760948"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1126/scitranslmed.3001875", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041074347"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1005887422022", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041434159", 
              "https://doi.org/10.1023/a:1005887422022"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1289/ehp.0800109", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043142766"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/ijc.29347", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044110382"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.1106613108", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044224662"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1128/mcb.11.5.2416", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044270166"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-14-128", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044758756", 
              "https://doi.org/10.1186/1471-2105-14-128"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ejso.2014.06.008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048285716"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13058-016-0779-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048364231", 
              "https://doi.org/10.1186/s13058-016-0779-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13058-016-0779-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048364231", 
              "https://doi.org/10.1186/s13058-016-0779-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/oncsis.2014.7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049105366", 
              "https://doi.org/10.1038/oncsis.2014.7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1073/pnas.2634067100", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049404752"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt.1511", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049469421", 
              "https://doi.org/10.1038/nbt.1511"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10549-008-0151-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049483639", 
              "https://doi.org/10.1007/s10549-008-0151-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10549-008-0151-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049483639", 
              "https://doi.org/10.1007/s10549-008-0151-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0140-6736(15)61074-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049903960"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/cddis.2013.9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050636858", 
              "https://doi.org/10.1038/cddis.2013.9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.molmed.2015.02.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050982705"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/23723556.2016.1263715", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058421799"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/0008-5472.sabcs-09-5127", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1063217472"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/1078-0432.ccr-15-1984", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1063225105"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/1078-0432.ccr-16-0591", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1063225414"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.4161/epi.5.3.11447", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1072303001"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1078375670", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1078440541", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1079271716", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/carcin/bgx004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1083930881"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.semcancer.2017.03.006", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084108253"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/978-1-4939-6972-2_12", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085387424", 
              "https://doi.org/10.1007/978-1-4939-6972-2_12"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1056/nejmoa1701830", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1092593266"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-12", 
        "datePublishedReg": "2019-12-01", 
        "description": "BACKGROUND: The risk of recurrence for endocrine-treated breast cancer patients persists for many years or even decades following surgery and apparently successful adjuvant therapy. This period of dormancy and acquired resistance is inherently difficult to investigate; previous efforts have been limited to in-vitro or in-vivo approaches. In this study, sequential tumour samples from patients receiving extended neoadjuvant aromatase inhibitor therapy were characterised as a novel clinical model.\nMETHODS: Consecutive tumour samples from 62 patients undergoing extended (4-45\u2009months) neoadjuvant aromatase inhibitor therapy with letrozole were subjected to transcriptomic and proteomic analysis, representing before (\u2264\u20090), early (13-120\u2009days), and long-term (>\u2009120\u2009days) neoadjuvant aromatase inhibitor therapy with letrozole. Patients with at least a 40% initial reduction in tumour size by 4\u2009months of treatment were included. Of these, 42 patients with no subsequent progression were classified as \"dormant\", and the remaining 20 patients as \"acquired resistant\".\nRESULTS: Changes in gene expression in dormant tumours begin early and become more pronounced at later time points. Therapy-induced changes in resistant tumours were common features of treatment, rather than being specific to the resistant phenotype. Comparative analysis of long-term treated dormant and resistant tumours highlighted changes in epigenetics pathways including DNA methylation and histone acetylation. The DNA methylation marks 5-methylcytosine and 5-hydroxymethylcytosine were significantly reduced in resistant tumours compared with dormant tissues after extended letrozole treatment.\nCONCLUSIONS: This is the first patient-matched gene expression study investigating long-term aromatase inhibitor-induced dormancy and acquired resistance in breast cancer. Dormant tumours continue to change during treatment whereas acquired resistant tumours more closely resemble their diagnostic samples. Global loss of DNA methylation was observed in resistant tumours under extended treatment. Epigenetic alterations may lead to escape from dormancy and drive acquired resistance in a subset of patients, supporting a potential role for therapy targeted at these epigenetic alterations in the management of resistance to oestrogen deprivation therapy.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1186/s13058-018-1089-5", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1022375", 
            "issn": [
              "1465-5411", 
              "1465-542X"
            ], 
            "name": "Breast Cancer Research", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "21"
          }
        ], 
        "name": "Molecular changes during extended neoadjuvant letrozole treatment of breast cancer: distinguishing acquired resistance from dormant tumours", 
        "pagination": "2", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "cbe54210edecbc83ccce7229169229350b4f7290116e3cb7ad66182af6bbed19"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "30616553"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "100927353"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/s13058-018-1089-5"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1111253230"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/s13058-018-1089-5", 
          "https://app.dimensions.ai/details/publication/pub.1111253230"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T11:43", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000358_0000000358/records_127448_00000011.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1186%2Fs13058-018-1089-5"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s13058-018-1089-5'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s13058-018-1089-5'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13058-018-1089-5'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13058-018-1089-5'


     

    This table displays all metadata directly associated to this object as RDF triples.

    354 TRIPLES      21 PREDICATES      93 URIs      21 LITERALS      9 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/s13058-018-1089-5 schema:about anzsrc-for:11
    2 anzsrc-for:1112
    3 schema:author Nccdabb7cc1e34854b031629e8c09a6a0
    4 schema:citation sg:pub.10.1007/978-1-4939-6972-2_12
    5 sg:pub.10.1007/s10549-008-0151-x
    6 sg:pub.10.1007/s10549-016-3776-1
    7 sg:pub.10.1023/a:1005887422022
    8 sg:pub.10.1038/35021093
    9 sg:pub.10.1038/bjc.2016.36
    10 sg:pub.10.1038/cddis.2013.9
    11 sg:pub.10.1038/nature08460
    12 sg:pub.10.1038/nbt.1511
    13 sg:pub.10.1038/nrc3793
    14 sg:pub.10.1038/nrc3920
    15 sg:pub.10.1038/onc.2010.333
    16 sg:pub.10.1038/oncsis.2014.7
    17 sg:pub.10.1186/1471-2105-14-128
    18 sg:pub.10.1186/1471-2407-10-656
    19 sg:pub.10.1186/1471-2407-13-473
    20 sg:pub.10.1186/1755-8794-5-35
    21 sg:pub.10.1186/bcr2158
    22 sg:pub.10.1186/bcr2196
    23 sg:pub.10.1186/bcr2611
    24 sg:pub.10.1186/bcr3599
    25 sg:pub.10.1186/s13058-016-0676-6
    26 sg:pub.10.1186/s13058-016-0713-5
    27 sg:pub.10.1186/s13058-016-0779-0
    28 https://app.dimensions.ai/details/publication/pub.1078375670
    29 https://app.dimensions.ai/details/publication/pub.1078440541
    30 https://app.dimensions.ai/details/publication/pub.1079271716
    31 https://doi.org/10.1002/ijc.29347
    32 https://doi.org/10.1016/j.ejca.2010.02.027
    33 https://doi.org/10.1016/j.ejso.2014.06.008
    34 https://doi.org/10.1016/j.mce.2015.09.035
    35 https://doi.org/10.1016/j.molmed.2015.02.005
    36 https://doi.org/10.1016/j.semcancer.2017.03.006
    37 https://doi.org/10.1016/s0140-6736(15)61074-1
    38 https://doi.org/10.1021/ac026117i
    39 https://doi.org/10.1039/c5mb00663e
    40 https://doi.org/10.1056/nejmoa1701830
    41 https://doi.org/10.1073/pnas.0907560106
    42 https://doi.org/10.1073/pnas.1008522107
    43 https://doi.org/10.1073/pnas.1106613108
    44 https://doi.org/10.1073/pnas.2634067100
    45 https://doi.org/10.1080/23723556.2016.1263715
    46 https://doi.org/10.1093/bioinformatics/btl476
    47 https://doi.org/10.1093/bioinformatics/btn224
    48 https://doi.org/10.1093/carcin/bgx004
    49 https://doi.org/10.1093/nar/gkw880
    50 https://doi.org/10.1111/tbj.12596
    51 https://doi.org/10.1126/scitranslmed.3001875
    52 https://doi.org/10.1128/mcb.11.5.2416
    53 https://doi.org/10.1158/0008-5472.can-05-2605
    54 https://doi.org/10.1158/0008-5472.can-14-0620
    55 https://doi.org/10.1158/0008-5472.sabcs-09-5127
    56 https://doi.org/10.1158/1078-0432.ccr-10-1282
    57 https://doi.org/10.1158/1078-0432.ccr-12-1000
    58 https://doi.org/10.1158/1078-0432.ccr-13-0838
    59 https://doi.org/10.1158/1078-0432.ccr-13-1378
    60 https://doi.org/10.1158/1078-0432.ccr-15-1984
    61 https://doi.org/10.1158/1078-0432.ccr-16-0591
    62 https://doi.org/10.1200/jco.2014.57.8963
    63 https://doi.org/10.1200/jco.2016.69.4406
    64 https://doi.org/10.1289/ehp.0800109
    65 https://doi.org/10.18632/oncotarget.316
    66 https://doi.org/10.18632/oncotarget.5951
    67 https://doi.org/10.4161/epi.5.3.11447
    68 schema:datePublished 2019-12
    69 schema:datePublishedReg 2019-12-01
    70 schema:description BACKGROUND: The risk of recurrence for endocrine-treated breast cancer patients persists for many years or even decades following surgery and apparently successful adjuvant therapy. This period of dormancy and acquired resistance is inherently difficult to investigate; previous efforts have been limited to in-vitro or in-vivo approaches. In this study, sequential tumour samples from patients receiving extended neoadjuvant aromatase inhibitor therapy were characterised as a novel clinical model. METHODS: Consecutive tumour samples from 62 patients undergoing extended (4-45 months) neoadjuvant aromatase inhibitor therapy with letrozole were subjected to transcriptomic and proteomic analysis, representing before (≤ 0), early (13-120 days), and long-term (> 120 days) neoadjuvant aromatase inhibitor therapy with letrozole. Patients with at least a 40% initial reduction in tumour size by 4 months of treatment were included. Of these, 42 patients with no subsequent progression were classified as "dormant", and the remaining 20 patients as "acquired resistant". RESULTS: Changes in gene expression in dormant tumours begin early and become more pronounced at later time points. Therapy-induced changes in resistant tumours were common features of treatment, rather than being specific to the resistant phenotype. Comparative analysis of long-term treated dormant and resistant tumours highlighted changes in epigenetics pathways including DNA methylation and histone acetylation. The DNA methylation marks 5-methylcytosine and 5-hydroxymethylcytosine were significantly reduced in resistant tumours compared with dormant tissues after extended letrozole treatment. CONCLUSIONS: This is the first patient-matched gene expression study investigating long-term aromatase inhibitor-induced dormancy and acquired resistance in breast cancer. Dormant tumours continue to change during treatment whereas acquired resistant tumours more closely resemble their diagnostic samples. Global loss of DNA methylation was observed in resistant tumours under extended treatment. Epigenetic alterations may lead to escape from dormancy and drive acquired resistance in a subset of patients, supporting a potential role for therapy targeted at these epigenetic alterations in the management of resistance to oestrogen deprivation therapy.
    71 schema:genre research_article
    72 schema:inLanguage en
    73 schema:isAccessibleForFree true
    74 schema:isPartOf N3ef11d3b3ad44e358e845e3959581c64
    75 Nc93a7dee8e9948c886b227ece38d195b
    76 sg:journal.1022375
    77 schema:name Molecular changes during extended neoadjuvant letrozole treatment of breast cancer: distinguishing acquired resistance from dormant tumours
    78 schema:pagination 2
    79 schema:productId N08384e32c9184a1595299595c04d70c1
    80 N119c69041cde42f7b4f3c407103f1b66
    81 N54d50aa819924d3a8c3cc8a91adfda98
    82 N570b311113964cfdaf199403874effe7
    83 N683b9175f58d4f45957a1cfb051ed985
    84 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111253230
    85 https://doi.org/10.1186/s13058-018-1089-5
    86 schema:sdDatePublished 2019-04-11T11:43
    87 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    88 schema:sdPublisher N9efb5be9f5824a8b9ad8245ba2798895
    89 schema:url https://link.springer.com/10.1186%2Fs13058-018-1089-5
    90 sgo:license sg:explorer/license/
    91 sgo:sdDataset articles
    92 rdf:type schema:ScholarlyArticle
    93 N03268fada21946a4af1b8671bcf83397 rdf:first sg:person.01246155230.31
    94 rdf:rest Naf0fde7e429b49f581f98ffb686457a3
    95 N08384e32c9184a1595299595c04d70c1 schema:name dimensions_id
    96 schema:value pub.1111253230
    97 rdf:type schema:PropertyValue
    98 N119c69041cde42f7b4f3c407103f1b66 schema:name pubmed_id
    99 schema:value 30616553
    100 rdf:type schema:PropertyValue
    101 N2251dd20c99244668684fc2b7baf01d9 rdf:first sg:person.0735265646.74
    102 rdf:rest rdf:nil
    103 N36d5d2cb1c6e4c8ca5ce2724a34b68a1 rdf:first sg:person.013112123634.87
    104 rdf:rest N3b96a4f0714c453ebeb5427724807024
    105 N36fa836660e34caba197752b2414d188 rdf:first sg:person.01327553725.02
    106 rdf:rest N03268fada21946a4af1b8671bcf83397
    107 N3b96a4f0714c453ebeb5427724807024 rdf:first sg:person.015353303510.28
    108 rdf:rest N36fa836660e34caba197752b2414d188
    109 N3ef11d3b3ad44e358e845e3959581c64 schema:volumeNumber 21
    110 rdf:type schema:PublicationVolume
    111 N54d50aa819924d3a8c3cc8a91adfda98 schema:name nlm_unique_id
    112 schema:value 100927353
    113 rdf:type schema:PropertyValue
    114 N570b311113964cfdaf199403874effe7 schema:name readcube_id
    115 schema:value cbe54210edecbc83ccce7229169229350b4f7290116e3cb7ad66182af6bbed19
    116 rdf:type schema:PropertyValue
    117 N683b9175f58d4f45957a1cfb051ed985 schema:name doi
    118 schema:value 10.1186/s13058-018-1089-5
    119 rdf:type schema:PropertyValue
    120 N73820dd3880a4551b47530001b5bacdb schema:name Mass Spectrometry Unit, MRC Institute of Genetics and Molecular Medicine, Edinburgh, UK
    121 rdf:type schema:Organization
    122 N77cdd8abcce64383859dfa365242ff60 rdf:first sg:person.015765264351.85
    123 rdf:rest Nccb18904ca384ec7bcca4b921de0c4bb
    124 N84b9be6e1b404214b88d41d9233817ed schema:affiliation https://www.grid.ac/institutes/grid.417068.c
    125 schema:familyName Dixon
    126 schema:givenName J. Michael
    127 rdf:type schema:Person
    128 N9efb5be9f5824a8b9ad8245ba2798895 schema:name Springer Nature - SN SciGraph project
    129 rdf:type schema:Organization
    130 Nab11d3468a2542a1a6041a29aa756525 rdf:first sg:person.01000465545.81
    131 rdf:rest N77cdd8abcce64383859dfa365242ff60
    132 Naf0fde7e429b49f581f98ffb686457a3 rdf:first N84b9be6e1b404214b88d41d9233817ed
    133 rdf:rest N2251dd20c99244668684fc2b7baf01d9
    134 Nc93a7dee8e9948c886b227ece38d195b schema:issueNumber 1
    135 rdf:type schema:PublicationIssue
    136 Nccb18904ca384ec7bcca4b921de0c4bb rdf:first sg:person.016434074270.73
    137 rdf:rest N36d5d2cb1c6e4c8ca5ce2724a34b68a1
    138 Nccdabb7cc1e34854b031629e8c09a6a0 rdf:first sg:person.01267570076.69
    139 rdf:rest Nab11d3468a2542a1a6041a29aa756525
    140 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    141 schema:name Medical and Health Sciences
    142 rdf:type schema:DefinedTerm
    143 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
    144 schema:name Oncology and Carcinogenesis
    145 rdf:type schema:DefinedTerm
    146 sg:journal.1022375 schema:issn 1465-5411
    147 1465-542X
    148 schema:name Breast Cancer Research
    149 rdf:type schema:Periodical
    150 sg:person.01000465545.81 schema:affiliation https://www.grid.ac/institutes/grid.417068.c
    151 schema:familyName Turnbull
    152 schema:givenName Arran K.
    153 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01000465545.81
    154 rdf:type schema:Person
    155 sg:person.01246155230.31 schema:affiliation https://www.grid.ac/institutes/grid.417068.c
    156 schema:familyName Thomas
    157 schema:givenName Jeremy S.
    158 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01246155230.31
    159 rdf:type schema:Person
    160 sg:person.01267570076.69 schema:affiliation https://www.grid.ac/institutes/grid.8302.9
    161 schema:familyName Selli
    162 schema:givenName Cigdem
    163 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01267570076.69
    164 rdf:type schema:Person
    165 sg:person.013112123634.87 schema:affiliation https://www.grid.ac/institutes/grid.417068.c
    166 schema:familyName Fernando
    167 schema:givenName Anu
    168 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013112123634.87
    169 rdf:type schema:Person
    170 sg:person.01327553725.02 schema:affiliation https://www.grid.ac/institutes/grid.417068.c
    171 schema:familyName Renshaw
    172 schema:givenName Lorna
    173 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01327553725.02
    174 rdf:type schema:Person
    175 sg:person.015353303510.28 schema:affiliation N73820dd3880a4551b47530001b5bacdb
    176 schema:familyName Wills
    177 schema:givenName Jimi
    178 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015353303510.28
    179 rdf:type schema:Person
    180 sg:person.015765264351.85 schema:affiliation https://www.grid.ac/institutes/grid.4305.2
    181 schema:familyName Pearce
    182 schema:givenName Dominic A.
    183 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015765264351.85
    184 rdf:type schema:Person
    185 sg:person.016434074270.73 schema:affiliation https://www.grid.ac/institutes/grid.4305.2
    186 schema:familyName Li
    187 schema:givenName Ang
    188 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016434074270.73
    189 rdf:type schema:Person
    190 sg:person.0735265646.74 schema:affiliation https://www.grid.ac/institutes/grid.4305.2
    191 schema:familyName Sims
    192 schema:givenName Andrew H.
    193 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0735265646.74
    194 rdf:type schema:Person
    195 sg:pub.10.1007/978-1-4939-6972-2_12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085387424
    196 https://doi.org/10.1007/978-1-4939-6972-2_12
    197 rdf:type schema:CreativeWork
    198 sg:pub.10.1007/s10549-008-0151-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1049483639
    199 https://doi.org/10.1007/s10549-008-0151-x
    200 rdf:type schema:CreativeWork
    201 sg:pub.10.1007/s10549-016-3776-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034391776
    202 https://doi.org/10.1007/s10549-016-3776-1
    203 rdf:type schema:CreativeWork
    204 sg:pub.10.1023/a:1005887422022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041434159
    205 https://doi.org/10.1023/a:1005887422022
    206 rdf:type schema:CreativeWork
    207 sg:pub.10.1038/35021093 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033846543
    208 https://doi.org/10.1038/35021093
    209 rdf:type schema:CreativeWork
    210 sg:pub.10.1038/bjc.2016.36 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003603071
    211 https://doi.org/10.1038/bjc.2016.36
    212 rdf:type schema:CreativeWork
    213 sg:pub.10.1038/cddis.2013.9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050636858
    214 https://doi.org/10.1038/cddis.2013.9
    215 rdf:type schema:CreativeWork
    216 sg:pub.10.1038/nature08460 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002209653
    217 https://doi.org/10.1038/nature08460
    218 rdf:type schema:CreativeWork
    219 sg:pub.10.1038/nbt.1511 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049469421
    220 https://doi.org/10.1038/nbt.1511
    221 rdf:type schema:CreativeWork
    222 sg:pub.10.1038/nrc3793 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028687018
    223 https://doi.org/10.1038/nrc3793
    224 rdf:type schema:CreativeWork
    225 sg:pub.10.1038/nrc3920 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002266189
    226 https://doi.org/10.1038/nrc3920
    227 rdf:type schema:CreativeWork
    228 sg:pub.10.1038/onc.2010.333 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017906526
    229 https://doi.org/10.1038/onc.2010.333
    230 rdf:type schema:CreativeWork
    231 sg:pub.10.1038/oncsis.2014.7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049105366
    232 https://doi.org/10.1038/oncsis.2014.7
    233 rdf:type schema:CreativeWork
    234 sg:pub.10.1186/1471-2105-14-128 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044758756
    235 https://doi.org/10.1186/1471-2105-14-128
    236 rdf:type schema:CreativeWork
    237 sg:pub.10.1186/1471-2407-10-656 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018961953
    238 https://doi.org/10.1186/1471-2407-10-656
    239 rdf:type schema:CreativeWork
    240 sg:pub.10.1186/1471-2407-13-473 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006137864
    241 https://doi.org/10.1186/1471-2407-13-473
    242 rdf:type schema:CreativeWork
    243 sg:pub.10.1186/1755-8794-5-35 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015894212
    244 https://doi.org/10.1186/1755-8794-5-35
    245 rdf:type schema:CreativeWork
    246 sg:pub.10.1186/bcr2158 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011925419
    247 https://doi.org/10.1186/bcr2158
    248 rdf:type schema:CreativeWork
    249 sg:pub.10.1186/bcr2196 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000921383
    250 https://doi.org/10.1186/bcr2196
    251 rdf:type schema:CreativeWork
    252 sg:pub.10.1186/bcr2611 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003636949
    253 https://doi.org/10.1186/bcr2611
    254 rdf:type schema:CreativeWork
    255 sg:pub.10.1186/bcr3599 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025546025
    256 https://doi.org/10.1186/bcr3599
    257 rdf:type schema:CreativeWork
    258 sg:pub.10.1186/s13058-016-0676-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036908956
    259 https://doi.org/10.1186/s13058-016-0676-6
    260 rdf:type schema:CreativeWork
    261 sg:pub.10.1186/s13058-016-0713-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029945487
    262 https://doi.org/10.1186/s13058-016-0713-5
    263 rdf:type schema:CreativeWork
    264 sg:pub.10.1186/s13058-016-0779-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048364231
    265 https://doi.org/10.1186/s13058-016-0779-0
    266 rdf:type schema:CreativeWork
    267 https://app.dimensions.ai/details/publication/pub.1078375670 schema:CreativeWork
    268 https://app.dimensions.ai/details/publication/pub.1078440541 schema:CreativeWork
    269 https://app.dimensions.ai/details/publication/pub.1079271716 schema:CreativeWork
    270 https://doi.org/10.1002/ijc.29347 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044110382
    271 rdf:type schema:CreativeWork
    272 https://doi.org/10.1016/j.ejca.2010.02.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001200184
    273 rdf:type schema:CreativeWork
    274 https://doi.org/10.1016/j.ejso.2014.06.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048285716
    275 rdf:type schema:CreativeWork
    276 https://doi.org/10.1016/j.mce.2015.09.035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032901034
    277 rdf:type schema:CreativeWork
    278 https://doi.org/10.1016/j.molmed.2015.02.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050982705
    279 rdf:type schema:CreativeWork
    280 https://doi.org/10.1016/j.semcancer.2017.03.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084108253
    281 rdf:type schema:CreativeWork
    282 https://doi.org/10.1016/s0140-6736(15)61074-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049903960
    283 rdf:type schema:CreativeWork
    284 https://doi.org/10.1021/ac026117i schema:sameAs https://app.dimensions.ai/details/publication/pub.1000183287
    285 rdf:type schema:CreativeWork
    286 https://doi.org/10.1039/c5mb00663e schema:sameAs https://app.dimensions.ai/details/publication/pub.1039760948
    287 rdf:type schema:CreativeWork
    288 https://doi.org/10.1056/nejmoa1701830 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092593266
    289 rdf:type schema:CreativeWork
    290 https://doi.org/10.1073/pnas.0907560106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019325009
    291 rdf:type schema:CreativeWork
    292 https://doi.org/10.1073/pnas.1008522107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031504669
    293 rdf:type schema:CreativeWork
    294 https://doi.org/10.1073/pnas.1106613108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044224662
    295 rdf:type schema:CreativeWork
    296 https://doi.org/10.1073/pnas.2634067100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049404752
    297 rdf:type schema:CreativeWork
    298 https://doi.org/10.1080/23723556.2016.1263715 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058421799
    299 rdf:type schema:CreativeWork
    300 https://doi.org/10.1093/bioinformatics/btl476 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014813446
    301 rdf:type schema:CreativeWork
    302 https://doi.org/10.1093/bioinformatics/btn224 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021766380
    303 rdf:type schema:CreativeWork
    304 https://doi.org/10.1093/carcin/bgx004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083930881
    305 rdf:type schema:CreativeWork
    306 https://doi.org/10.1093/nar/gkw880 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022739704
    307 rdf:type schema:CreativeWork
    308 https://doi.org/10.1111/tbj.12596 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019236996
    309 rdf:type schema:CreativeWork
    310 https://doi.org/10.1126/scitranslmed.3001875 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041074347
    311 rdf:type schema:CreativeWork
    312 https://doi.org/10.1128/mcb.11.5.2416 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044270166
    313 rdf:type schema:CreativeWork
    314 https://doi.org/10.1158/0008-5472.can-05-2605 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007952793
    315 rdf:type schema:CreativeWork
    316 https://doi.org/10.1158/0008-5472.can-14-0620 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021403647
    317 rdf:type schema:CreativeWork
    318 https://doi.org/10.1158/0008-5472.sabcs-09-5127 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063217472
    319 rdf:type schema:CreativeWork
    320 https://doi.org/10.1158/1078-0432.ccr-10-1282 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021940935
    321 rdf:type schema:CreativeWork
    322 https://doi.org/10.1158/1078-0432.ccr-12-1000 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037454930
    323 rdf:type schema:CreativeWork
    324 https://doi.org/10.1158/1078-0432.ccr-13-0838 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030020773
    325 rdf:type schema:CreativeWork
    326 https://doi.org/10.1158/1078-0432.ccr-13-1378 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037638662
    327 rdf:type schema:CreativeWork
    328 https://doi.org/10.1158/1078-0432.ccr-15-1984 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063225105
    329 rdf:type schema:CreativeWork
    330 https://doi.org/10.1158/1078-0432.ccr-16-0591 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063225414
    331 rdf:type schema:CreativeWork
    332 https://doi.org/10.1200/jco.2014.57.8963 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000272432
    333 rdf:type schema:CreativeWork
    334 https://doi.org/10.1200/jco.2016.69.4406 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028791642
    335 rdf:type schema:CreativeWork
    336 https://doi.org/10.1289/ehp.0800109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043142766
    337 rdf:type schema:CreativeWork
    338 https://doi.org/10.18632/oncotarget.316 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030818607
    339 rdf:type schema:CreativeWork
    340 https://doi.org/10.18632/oncotarget.5951 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006496990
    341 rdf:type schema:CreativeWork
    342 https://doi.org/10.4161/epi.5.3.11447 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072303001
    343 rdf:type schema:CreativeWork
    344 https://www.grid.ac/institutes/grid.417068.c schema:alternateName Western General Hospital
    345 schema:name Applied Bioinformatics of Cancer, University of Edinburgh Cancer Research UK Centre, MRC Institute of Genetics and Molecular Medicine, Edinburgh, UK
    346 Edinburgh Breast Unit, Western General Hospital, Edinburgh, UK
    347 rdf:type schema:Organization
    348 https://www.grid.ac/institutes/grid.4305.2 schema:alternateName University of Edinburgh
    349 schema:name Applied Bioinformatics of Cancer, University of Edinburgh Cancer Research UK Centre, MRC Institute of Genetics and Molecular Medicine, Edinburgh, UK
    350 rdf:type schema:Organization
    351 https://www.grid.ac/institutes/grid.8302.9 schema:alternateName Ege University
    352 schema:name Applied Bioinformatics of Cancer, University of Edinburgh Cancer Research UK Centre, MRC Institute of Genetics and Molecular Medicine, Edinburgh, UK
    353 Department of Pharmacology, Faculty of Pharmacy, Ege University, 35040, Izmir, Turkey
    354 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...