Your browser doesn't support javascript.
loading
Quantifying Breast Cancer-Driven Fiber Alignment and Collagen Deposition in Primary Human Breast Tissue.
Gurrala, Rakesh; Byrne, C Ethan; Brown, Loren M; Tiongco, Rafael Felix P; Matossian, Margarite D; Savoie, Jonathan J; Collins-Burow, Bridgette M; Burow, Matthew E; Martin, Elizabeth C; Lau, Frank H.
Afiliação
  • Gurrala R; Department of Surgery, Louisiana State University Health Sciences Center New Orleans, New Orleans, LA, United States.
  • Byrne CE; School of Medicine, Tulane University, New Orleans, LA, United States.
  • Brown LM; Department of Biological and Agricultural Engineering, Louisiana State University, Baton Rouge, LA, United States.
  • Tiongco RFP; Department of Biological and Agricultural Engineering, Louisiana State University, Baton Rouge, LA, United States.
  • Matossian MD; Department of Surgery, Louisiana State University Health Sciences Center New Orleans, New Orleans, LA, United States.
  • Savoie JJ; School of Medicine, Tulane University, New Orleans, LA, United States.
  • Collins-Burow BM; Section of Hematology and Medical Oncology, School of Medicine, Tulane University, New Orleans, LA, United States.
  • Burow ME; Department of Pharmacology, School of Medicine, Tulane University, New Orleans, LA, United States.
  • Martin EC; Department of Biological and Agricultural Engineering, Louisiana State University, Baton Rouge, LA, United States.
  • Lau FH; Section of Hematology and Medical Oncology, School of Medicine, Tulane University, New Orleans, LA, United States.
Front Bioeng Biotechnol ; 9: 618448, 2021.
Article em En | MEDLINE | ID: mdl-33791282
ABSTRACT
Solid tumor progression is significantly influenced by interactions between cancer cells and the surrounding extracellular matrix (ECM). Specifically, the cancer cell-driven changes to ECM fiber alignment and collagen deposition impact tumor growth and metastasis. Current methods of quantifying these processes are incomplete, require simple or artificial matrixes, rely on uncommon imaging techniques, preclude the use of biological and technical replicates, require destruction of the tissue, or are prone to segmentation errors. We present a set of methodological solutions to these shortcomings that were developed to quantify these processes in cultured, ex vivo human breast tissue under the influence of breast cancer cells and allow for the study of ECM in primary breast tumors. Herein, we describe a method of quantifying fiber alignment that can analyze complex native ECM from scanning electron micrographs that does not preclude the use of replicates and a high-throughput mechanism of quantifying collagen content that is non-destructive. The use of these methods accurately recapitulated cancer cell-driven changes in fiber alignment and collagen deposition observed by visual inspection. Additionally, these methods successfully identified increased fiber alignment in primary human breast tumors when compared to human breast tissue and increased collagen deposition in lobular breast cancer when compared to ductal breast cancer. The successful quantification of fiber alignment and collagen deposition using these methods encourages their use for future studies of ECM dysregulation in human solid tumors.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Bioeng Biotechnol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Bioeng Biotechnol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos