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Method Article

Modeling Breast Cancer in Human Breast Tissue using a Microphysiological System

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DOI:

10.3791/62009

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April 23rd, 2021

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In This Article

Summary

This protocol describes the construction of an in vitro microphysiological system for studying breast cancer using primary human breast tissue with off the shelf materials.

Abstract

Breast cancer (BC) remains a leading cause of death for women. Despite more than $700 million invested in BC research annually, 97% of candidate BC drugs fail clinical trials. Therefore, new models are needed to improve our understanding of the disease. The NIH Microphysiological Systems (MPS) program was developed to improve the clinical translation of basic science discoveries and promising new therapeutic strategies. Here we present a method for generating MPS for breast cancers (BC-MPS). This model adapts a previously described approach of culturing primary human white adipose tissue (WAT) by sandwiching WAT between adipose-derived stem cell sheets (ASC)s. Novel aspects of our BC-MPS include seeding BC cells into non-diseased human breast tissue (HBT) containing native extracellular matrix, mature adipocytes, resident fibroblasts, and immune cells; and sandwiching the BC-HBT admixture between HBT-derived ASC sheets. The resulting BC-MPS is stable in culture ex vivo for at least 14 days. This model system contains multiple elements of the microenvironment that influence BC including adipocytes, stromal cells, immune cells, and the extracellular matrix. Thus BC-MPS can be used to study the interactions between BC and its microenvironment.

We demonstrate the advantages of our BC-MPS by studying two BC behaviors known to influence cancer progression and metastasis: 1) BC motility and 2) BC-HBT metabolic crosstalk. While BC motility has previously been demonstrated using intravital imaging, BC-MPS allows for high-resolution time-lapse imaging using fluorescence microscopy over several days. Furthermore, while metabolic crosstalk was previously demonstrated using BC cells and murine pre-adipocytes differentiated into immature adipocytes, our BC-MPS model is the first system to demonstrate this crosstalk between primary human mammary adipocytes and BC cells in vitro.

Introduction

Each year, more than 40,000 US women die of breast cancer (BC)1. Despite more than $700 million invested in BC research annually, 97% of candidate BC drugs fail clinical trials2,3. New models are needed to improve the drug development pipeline and our understanding of BC. The NIH Microphysiological (MPS) Program delineated the features required for breakthrough models for improving translating basic science into clinical success4. These included the use of primary human cells or tissues, stable in culture for 4 weeks, and inclusion of native tissue architecture a....

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Protocol

All human tissues were collected in accordance to protocol #9189 as approved by the Institutional Review Board Office of LSUHSC.

1. Seeding of Adipose-derived Stem Cells (ASCs) for cell sheets

  1. Purchase ASCs from commercial sources or isolate from primary human breast tissue by following established protocols8,9. Seed human breast ASCs at 70% density (~80,000 cells/cm2 surface area) onto 6-well standard tissue culture plates in Dulbecco's Modified Eagle Medium (DMEM) supplemented with 10% fetal bovine serum, and 1% Penicillin/Streptomycin (BC-MPS Media). En....

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Results

Stability in culture
BC-MPS is a stable microphysiological system that can be cultured in vitro for up to at least 14 days. A brightfield image of the ASC cell sheets was taken at 100x magnification to display the striated pattern of the confluent sheet (Figure 2A). The ASC cell sheets are stable in culture for at least 4 weeks. BC-MPS at 14 days in culture in one well of a 6 well plate was imaged with a color camera demonstrating that th.......

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Discussion

New systems for modeling human breast cancer are needed to develop a better understanding of the disease. Development of human microphysiological systems to model disease settings that include native ECM and stromal cells will increase the predictive power of pre-clinical studies. The BC-MPS model presented here is a newly developed system that overcomes the limitations of previous models allows for the evaluation of BC in its native HBT environment. This system can be used with cancer cell lines or with tumor explants a.......

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Disclosures

The authors declare that they have no competing interests.

Acknowledgements

We would like to thank the Tulane Flow Cytometry and Cell Sorting Core as well as the Tulane Histology Core for their technical support. This work was supported by the Southeastern Society of Plastic & Reconstructive Surgeons 2019 Research Grant and the National Science Foundation (EPSCoR Track 2 RII, OIA 1632854).

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
AccumaxInnovative Cell Technologies1333Cell disassoication solution for separation of BC-MPS
AccutaseCorning25-058-CICell detachment solution for passaging of cells
BioStor Container 16ozNational Scientific Supply CoMPCE-T016For Transport of sterile tissue
Cell Culture 75 cm flasksCorning430641UFor culturing ASCs
Conical Tubes 15mL ThermoScientific339650
Curved ForcepsThermoScientific1631T5For maneuvering tissue while mincing 
DMEM low glucose, w/ GlutamaxGibco10567-014For culturing ASCs and BC-MPS
FBS QualifiedGibco26140-079
GelatinSigmaG9391
HBSS 10xGibco14185-052
NaOHSigma221465
Nunc UpCell 6 well platesThermoScientific174901Top ASC cell sheet
PBSGibco10010-023
Pen/Strep 5,000UGibco15070-063
Petri Dish 150 cmFisherBrandFB0875714For holding tissue while mincing 
Razor BladesVWR55411-055Single Edge for mincing tissue
Strainer 250um ThermoScientific87791For separation of BC-MPS
Tissue Culture 6 well platesCorning3506Bottom ASC cell Sheet
Weights/WashersBCP FastenersBCP672For weighing plungers down 1/2" inner diameter

References

  1. DeSantis, C. E., et al. Breast cancer statistics, 2019. CA: A Cancer Journal for Clinicians. 69 (6), 438-451 (2019).
  2. NIH Categorical Spending -NIH Research Portfolio Online Reporting Tools (RePORT). , Available from: https://report.nih.gov/categorical_spending.aspx (2020).
  3. Wong, C. H., Siah, K. W., Lo, A. W.

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