Optimisation of methods for isolation of primary cancer cells from breast cancer tumour

Author:

Piwocka Oliwia1,Musielak Marika1,Ampuła Karolina2,Piotrowski Igor3,Adamczyk Beata3,Fundowicz Magdalena3,Suchorska Wiktoria Maria3,Malicki Julian1

Affiliation:

1. Poznan University of Medical Sciences

2. Adam Mickiewicz University

3. Greater Poland Cancer Center

Abstract

Abstract Primary cell lines are an invaluable tool to explore cancer biology and molecular processes and investigate novel treatments. Despite their numerous advantages, primary cultures are laborious to obtain and maintain in culture thus rarely used in the laboratory. In this paper, we tested various methods for isolating primary breast cancer cultures that differed in enzymatic composition, incubation times and other methodologies. Finally, we optimised a method (Method 5) that gave rise to primary cell culture BC160. This approach combines mechanical disaggregation with enzymatic digestion by collagenase IV and hyaluronidase, followed by centrifugation. The cell line obtained by this method has a unique set of features with a strong influence of extracellular matrix remodelling genes. Primary cell lines have a high potential to become a model of choice, hence it is essential to elaborate and categorise isolation methods, develop approaches to separate heterogeneous cultures and investigate factors influencing the establishment of primary cell lines.

Publisher

Research Square Platform LLC

Reference38 articles.

1. Immunohistochemistry for diagnosis and prognosis of breast cancer: a review;Bonacho T;Biotech. Histochem.,2020

2. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries;Sung H;CA Cancer J. Clin.,2021

3. Trends and predictions to 2020 in breast cancer mortality in Europe;Carioli G;The Breast,2017

4. European cancer mortality predictions for the year 2019 with focus on breast cancer;Malvezzi M;Eur. cancer Mortal. Predict. 2019,2019

5. Awareness and current knowledge of breast cancer;Akram M;Biol. Res.,2017

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