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Single-cell transcriptomics reveals multi-step adaptations to endocrine therapy

DC Field Value Language
dc.contributor.authorHong, Sung Pil-
dc.contributor.authorChan, Thalia E.-
dc.contributor.authorLombardo, Ylenia-
dc.contributor.authorCorleone, Giacomo-
dc.contributor.authorRotmensz, Nicole-
dc.contributor.authorBravaccini, Sara-
dc.contributor.authorRocca, Andrea-
dc.contributor.authorPruneri, Giancarlo-
dc.contributor.authorMcEwen, Kirsten R.-
dc.contributor.authorCoombes, R. Charles-
dc.contributor.authorBarozzi, Iros-
dc.contributor.authorMagna, Luca-
dc.date.accessioned2022-08-19T06:28:12Z-
dc.date.available2022-08-19T06:28:12Z-
dc.date.created2022-06-29-
dc.date.issued2019-09-
dc.identifier.issn2041-1723-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/189201-
dc.description.abstractResistant tumours are thought to arise from the action of Darwinian selection on genetically heterogenous cancer cell populations. However, simple clonal selection is inadequate to describe the late relapses often characterising luminal breast cancers treated with endocrine therapy (ET), suggesting a more complex interplay between genetic and non-genetic factors. Here, we dissect the contributions of clonal genetic diversity and transcriptional plasticity during the early and late phases of ET at single-cell resolution. Using single-cell RNA-sequencing and imaging we disentangle the transcriptional variability of plastic cells and define a rare subpopulation of pre-adapted (PA) cells which undergoes further transcriptomic reprogramming and copy number changes to acquire full resistance. We find evidence for sub-clonal expression of a PA signature in primary tumours and for dominant expression in clustered circulating tumour cells. We propose a multi-step model for ET resistance development and advocate the use of stage-specific biomarkers.-
dc.description.statementOfResponsibilityopen-
dc.languageEnglish-
dc.publisherNature Pub. Group-
dc.relation.isPartOfNature Communications-
dc.relation.isPartOfNATURE COMMUNICATIONS-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleSingle-cell transcriptomics reveals multi-step adaptations to endocrine therapy-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Internal Medicine (내과학교실)-
dc.contributor.googleauthorHong, Sung Pil-
dc.contributor.googleauthorChan, Thalia E.-
dc.contributor.googleauthorLombardo, Ylenia-
dc.contributor.googleauthorCorleone, Giacomo-
dc.contributor.googleauthorRotmensz, Nicole-
dc.contributor.googleauthorBravaccini, Sara-
dc.contributor.googleauthorRocca, Andrea-
dc.contributor.googleauthorPruneri, Giancarlo-
dc.contributor.googleauthorMcEwen, Kirsten R.-
dc.contributor.googleauthorCoombes, R. Charles-
dc.contributor.googleauthorBarozzi, Iros-
dc.contributor.googleauthorMagna, Luca-
dc.identifier.doi10.1038/s41467-019-11721-9-
dc.relation.journalcodeJ02293-
dc.identifier.eissn2041-1723-
dc.contributor.alternativeNameHong, Sung Pil-
dc.contributor.affiliatedAuthorHong, Sung Pil-
dc.identifier.scopusid2-s2.0-85071765808-
dc.identifier.wosid000483305100001-
dc.citation.volume10-
dc.citation.number1-
dc.identifier.bibliographicCitationNature Communications, Vol.10(1), 2019-09-
dc.identifier.rimsid74641-
dc.type.rimsART-
dc.description.journalClass1-
dc.description.journalClass1-
dc.subject.keywordPlusREGULATORY NETWORK INFERENCE-
dc.subject.keywordPlusPATIENT-LEVEL METAANALYSIS-
dc.subject.keywordPlusBREAST-CANCER-
dc.subject.keywordPlusREAD ALIGNMENT-
dc.subject.keywordPlusHETEROGENEITY-
dc.subject.keywordPlusRESISTANCE-
dc.subject.keywordPlusRNA-
dc.subject.keywordPlusEVOLUTION-
dc.subject.keywordPlusRARE-
dc.subject.keywordPlusRECURRENCE-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalWebOfScienceCategoryMultidisciplinary Sciences-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.identifier.articleno3840-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers

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