scholarly journals Oncogenic activation of FAK drives apoptosis suppression in a 3D-culture model of breast cancer initiation

Oncotarget ◽  
2016 ◽  
Vol 7 (43) ◽  
pp. 70336-70352 ◽  
Author(s):  
Scott Walker ◽  
Fiona Foster ◽  
Amber Wood ◽  
Thomas Owens ◽  
Keith Brennan ◽  
...  
Keyword(s):  
Breast Cancer ◽  
3D Culture ◽  
Culture Model ◽  
Cancer Initiation ◽  
3D Culture Model

scholarly journals Human Plasma-Derived 3D Cultures Model Breast Cancer Treatment Responses and Predict Clinically Effective Drug Treatment Concentrations

Cancers ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 1722 ◽  
Author(s):  
Kristin Calar ◽  
Simona Plesselova ◽  
Somshuvra Bhattacharya ◽  
Megan Jorgensen ◽  
Pilar de la Puente
Keyword(s):  
Breast Cancer ◽  
Cancer Treatment ◽  
Human Plasma ◽  
Cell Lines ◽  
Single Cells ◽  
3D Culture ◽  
3D Models ◽  
Preclinical Models ◽  
Culture Model ◽  
3D Culture Model

Lack of efficacy and a low overall success rate of phase I-II clinical trials are the most common failures when it comes to advancing cancer treatment. Current drug sensitivity screenings present several challenges including differences in cell growth rates, the inconsistent use of drug metrics, and the lack of translatability. Here, we present a patient-derived 3D culture model to overcome these limitations in breast cancer (BCa). The human plasma-derived 3D culture model (HuP3D) utilizes patient plasma as the matrix, where BCa cell lines and primary BCa biopsies were grown and screened for drug treatments. Several drug metrics were evaluated from relative cell count and growth rate curves. Correlations between HuP3D metrics, established preclinical models, and clinical effective concentrations in patients were determined. HuP3D efficiently supported the growth and expansion of BCa cell lines and primary breast cancer tumors as both organoids and single cells. Significant and strong correlations between clinical effective concentrations in patients were found for eight out of ten metrics for HuP3D, while a very poor positive correlation and a moderate correlation was found for 2D models and other 3D models, respectively. HuP3D is a feasible and efficacious platform for supporting the growth and expansion of BCa, allowing high-throughput drug screening and predicting clinically effective therapies better than current preclinical models.

HER2-Associated Breast Cancer Signature Using a 3D Culture Model.

2009 ◽  
Author(s):  
P. Chaluvally-Raghavan ◽  
A. Zeisel ◽  
W. Koestler ◽  
J. Jacob-Hirsch ◽  
G. Rechavi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
3D Culture ◽  
Culture Model ◽  
3D Culture Model

Abstract 278: Deciphering circular RNA axes in early-onset breast cancer using a breast epithelial risk-progression 3D culture model

2020 ◽  
Author(s):  
Nataly Naser Al Deen ◽  
Nadia Atallah Lanman ◽  
Shirisha Chittiboyina ◽  
Sophie Lelièvre ◽  
Heinrich Zu Dohna ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Early Onset ◽  
3D Culture ◽  
Circular Rna ◽  
Early Onset Breast Cancer ◽  
Culture Model ◽  
Breast Epithelial ◽  
3D Culture Model

scholarly journals Studying biomineralization pathways in a 3D culture model of breast cancer microcalcifications

Biomaterials ◽  
2018 ◽  
Vol 179 ◽  
pp. 71-82 ◽  
Author(s):  
Netta Vidavsky ◽  
Jennie AMR. Kunitake ◽  
Aaron E. Chiou ◽  
Paul A. Northrup ◽  
Teresa J. Porri ◽  
...  
Keyword(s):  
Breast Cancer ◽  
3D Culture ◽  
Culture Model ◽  
3D Culture Model

scholarly journals Prognostic Breast Cancer Signature Identified from 3D Culture Model Accurately Predicts Clinical Outcome across Independent Datasets

PLoS ONE ◽  
2008 ◽  
Vol 3 (8) ◽  
pp. e2994 ◽  
Author(s):  
Katherine J. Martin ◽  
Denis R. Patrick ◽  
Mina J. Bissell ◽  
Marcia V. Fournier
Keyword(s):  
Breast Cancer ◽  
Clinical Outcome ◽  
3D Culture ◽  
Culture Model ◽  
3D Culture Model

scholarly journals A risk progression breast epithelial 3D culture model reveals Cx43/hsa_circ_0077755/miR-182 as a biomarker axis for heightened risk of breast cancer initiation

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Nataly Naser Al Deen ◽  
Nadia Atallah Lanman ◽  
Shirisha Chittiboyina ◽  
Sophie Lelièvre ◽  
Rihab Nasr ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gap Junction ◽  
Validation Cohort ◽  
3D Culture ◽  
Epithelial Polarity ◽  
Potential Biomarker ◽  
Culture Model ◽  
Cancer Initiation ◽  
Cultured Epithelia ◽  
Breast Epithelial

AbstractmRNA-circRNA-miRNAs axes have been characterized in breast cancer, but not as risk-assessment axes for tumor initiation in early-onset breast cancer that is increasing drastically worldwide. To address this gap, we performed circular RNA (circRNA) microarrays and microRNA (miRNA) sequencing on acini of HMT-3522 S1 (S1) breast epithelial risk-progression culture model in 3D and chose an early-stage population miRNome for a validation cohort. Nontumorigenic S1 cells form fully polarized epithelium while pretumorigenic counterparts silenced for gap junction Cx43 (Cx43-KO-S1) lose epithelial polarity, multilayer and mimic premalignant in vivo mammary epithelial morphology. Here, 121 circRNAs and 65 miRNAs were significantly dysregulated in response to Cx43 silencing in cultured epithelia and 15 miRNAs from the patient cohort were involved in epithelial polarity disruption. Focusing on the possible sponging activity of the validated circRNAs to their target miRNAs, we found all miRNAs to be highly enriched in cancer-related pathways and cross-compared their dysregulation to actual miRNA datasets from the cultured epithelia and the patient validation cohort. We present the involvement of gap junction in post-transcriptional axes and reveal Cx43/hsa_circ_0077755/miR-182 as a potential biomarker signature axis for heightened-risk of breast cancer initiation, and that its dysregulation patterns might predict prognosis along breast cancer initiation and progression.

Combination of proteasome inhibitors with temozolomide to increase the anti-tumor effect in 3D culture model of glioblastoma

2018 ◽  
Vol 120 ◽  
pp. S152
Author(s):  
Semra Unal ◽  
Tilbe Gokce ◽  
Sema Arslan ◽  
Ayse Mine Yilmaz ◽  
Oguzhan Gunduz ◽  
...  
Keyword(s):  
Proteasome Inhibitors ◽  
3D Culture ◽  
Culture Model ◽  
3D Culture Model
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