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dc.contributor.authorSflomos, G
dc.contributor.authorSchipper, K
dc.contributor.authorKoorman, T
dc.contributor.authorFitzpatrick, A
dc.contributor.authorOesterreich, S
dc.contributor.authorLee, AV
dc.contributor.authorJonkers, J
dc.contributor.authorBrunton, VG
dc.contributor.authorChristgen, M
dc.contributor.authorIsacke, C
dc.contributor.authorDerksen, PWB
dc.contributor.authorBrisken, C
dc.coverage.spatialSwitzerland
dc.date.accessioned2021-11-30T10:36:51Z
dc.date.available2021-11-30T10:36:51Z
dc.date.issued2021-10-27
dc.identifierhttps://www.ncbi.nlm.nih.gov/pubmed/34771558
dc.identifiercancers13215396
dc.identifier.citationCancers (Basel), 2021, 13 (21)
dc.identifier.issn2072-6694
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/4904
dc.identifier.doi10.3390/cancers13215396
dc.description.abstractInvasive lobular carcinoma (ILC) accounts for up to 15% of all breast cancer (BC) cases and responds well to endocrine treatment when estrogen receptor α-positive (ER+) yet differs in many biological aspects from other ER+ BC subtypes. Up to 30% of patients with ILC will develop late-onset metastatic disease up to ten years after initial tumor diagnosis and may experience failure of systemic therapy. Unfortunately, preclinical models to study ILC progression and predict the efficacy of novel therapeutics are scarce. Here, we review the current advances in ILC modeling, including cell lines and organotypic models, genetically engineered mouse models, and patient-derived xenografts. We also underscore four critical challenges that can be addressed using ILC models: drug resistance, lobular tumor microenvironment, tumor dormancy, and metastasis. Finally, we highlight the advantages of shared experimental ILC resources and provide essential considerations from the perspective of the European Lobular Breast Cancer Consortium (ELBCC), which is devoted to better understanding and translating the molecular cues that underpin ILC to clinical diagnosis and intervention. This review will guide investigators who are considering the implementation of ILC models in their research programs.
dc.languageeng
dc.language.isoeng
dc.publisherMDPI
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.subjectELBCC
dc.subjectGEMM
dc.subjectPDX
dc.subjectanimal models
dc.subjectcell lines
dc.subjectexperimental models
dc.subjectinvasive lobular breast carcinoma
dc.subjectmetastasis
dc.subjecttranslational research
dc.subjecttumor organoids
dc.titleAtlas of Lobular Breast Cancer Models: Challenges and Strategic Directions.
dc.typeJournal Article
dcterms.dateAccepted2021-10-21
rioxxterms.versionVoR
rioxxterms.versionofrecord10.3390/cancers13215396
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0
rioxxterms.licenseref.startdate2021-10-27
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfCancers (Basel)
pubs.issue21
pubs.notesNot known
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Breast Cancer Research
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Breast Cancer Research/Endocrine control mechanisms
pubs.publication-statusPublished online
pubs.volume13
pubs.embargo.termsNot known
icr.researchteamEndocrine control mechanisms
dc.contributor.icrauthorFitzpatrick, Amanda
dc.contributor.icrauthorIsacke, Clare
dc.contributor.icrauthorBrisken, Cathrin


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