2019
DOI: 10.1186/s13058-019-1233-x
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Characterization of organoid cultured human breast cancer

Abstract: Organoid cultures are increasingly used to model human cancers experimentally with a view to tailoring personalized medicine and predicting drug responses. Breast cancer is no exception, but in particular, primary breast cancer poses some inherent difficulties due to the frequent presence of residual non-malignant cells in the biopsies. We originally developed an assay for the distinction between malignant and non-malignant structures in primary breast cancer organoid cultures (Petersen et al., Proc Natl Acad … Show more

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Cited by 49 publications
(43 citation statements)
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“…Cells grown in culture environment of low binding or absence of adhesive surface can assemble into 3D spheroids, as these conditions favor cell-cell and cell-ECM interactions over cell-substrate Therefore, 3D culture systems recapitulate many characteristics of in vivo tumors, such as cell-cell and cell-ECM interactions, nutrient and oxygen gradients, and distinct layers of cell populations. Besides, the morphology and polarity of the cells, as well as gene expression and activation of cell signaling pathways, are also close to those of real tumors [8,9,60,61]. These features make spheroids a promising model for the study of cancer biology, cancer initiation, invasion and metastatic processes, as well as drug testing.…”
Section: Methods For Spheroid Generationmentioning
confidence: 68%
“…Cells grown in culture environment of low binding or absence of adhesive surface can assemble into 3D spheroids, as these conditions favor cell-cell and cell-ECM interactions over cell-substrate Therefore, 3D culture systems recapitulate many characteristics of in vivo tumors, such as cell-cell and cell-ECM interactions, nutrient and oxygen gradients, and distinct layers of cell populations. Besides, the morphology and polarity of the cells, as well as gene expression and activation of cell signaling pathways, are also close to those of real tumors [8,9,60,61]. These features make spheroids a promising model for the study of cancer biology, cancer initiation, invasion and metastatic processes, as well as drug testing.…”
Section: Methods For Spheroid Generationmentioning
confidence: 68%
“…Three different contralateral breast cancer risk prediction models have been described in the literature, including the Manchester formula (part of the Manchester guidelines for contralateral risk-reducing mastectomy), CBCrisk, and PredictCBC [ 13 , [34] , [35] , [36] ]. These models calculate an individual’s risk of contralateral breast cancer in different ways using patient and tumor characteristics such as age at first primary breast cancer diagnosis, family history, ER status, breast density, first breast cancer type, and adjuvant treatments.…”
Section: Resultsmentioning
confidence: 99%
“…Candidate pathogenic mutations in untranslated regions (UTRs) and BC-relevant genes regions [18,19], including oncogenes (i.e., KRAS, ERBB3, PIK3C2G) and tumor suppressor genes (i.e., FANCC, ATR, SMAD2), were found in organoids, and the majority of them were conserved within the tumor-organoid pair ( Figure 3b, Table S5). In a few cases, mutations in driver genes comprising ATRX, BRCA2, and NF1 were found in primary tumors, but not in the derived organoids (Table S5), likely because of the selection in culture of less aberrant cell subpopulations and/or the presence of cell subpopulations at low frequencies in the originating tumors [12]. Next, we interrogated WES data for the presence of BC distinctive mutational signatures [20,21].…”
Section: Genomic Characterization Of Bc and Derived Organoidsmentioning
confidence: 99%
“…Recently, in a seminal work, the generation of a biobank of patient-derived breast cancer organoids has been described for its application as a patient-specific model for preclinical studies [ 10 ]. In another recent study [ 12 ], breast tumor organoids were generated by similar procedures, though these 3D models were described to also contain a significant amount of normal-like cells.…”
Section: Introductionmentioning
confidence: 99%