Exploring Collagen Parameters in Pure Special Types of Invasive Breast Cancer
Open Access
- 22 May 2019
- journal article
- research article
- Published by Springer Science and Business Media LLC in Scientific Reports
- Vol. 9 (1), 1-11
- https://doi.org/10.1038/s41598-019-44156-9
Abstract
One of the promising tools to evaluate collagen in the extracellular matrix is the second-harmonic generation microscopy (SHG). This approach may shed light on the biological behavior of cancers and their taxonomy, but has not yet been applied to characterize collagen fibers in cases diagnosed as invasive breast carcinoma (BC) of histological special types (IBC-ST). Tissue sections from 99 patients with IBC-ST and 21 of invasive breast carcinoma of no special type (IBC-NST) were submitted to evaluation of collagen parameters by SHG. Tissue microarray was performed to evaluate immunohistochemical-based molecular subtype. In intratumoral areas, fSHG and bSHG (forward-SHG and backward-SHG) collagen parameters achieved their lowest values in mucinous, papillary and medullary carcinomas, whereas the highest values were found in classic invasive lobular and tubular carcinomas. Unsupervised hierarchical cluster analysis and minimal spanning tree using intratumoral collagen parameters allowed the identification of three main groups of breast cancer: group A (classic invasive lobular and tubular carcinomas); group B (IBC-NST, metaplastic, invasive apocrine and micropapillary carcinomas); and group C (medullary, mucinous and papillary carcinomas). Our findings provide further characterization of the tumor microenvironment of IBC-ST. This understanding may add information to build more consistent tumor categorization and to refine prognostication.This publication has 70 references indexed in Scilit:
- Experimental investigation of collagen waviness and orientation in the arterial adventitia using confocal laser scanning microscopyBiomechanics and Modeling in Mechanobiology, 2011
- Aligned Collagen Is a Prognostic Signature for Survival in Human Breast CarcinomaThe American Journal of Pathology, 2011
- Second Harmonic Generation Imaging Microscopy: Applications to Diseases DiagnosticsAnalytical Chemistry, 2011
- Gene-Expression Signatures in Breast CancerThe New England Journal of Medicine, 2009
- Collagen density promotes mammary tumor initiation and progressionBMC Medicine, 2008
- Concordance among Gene-Expression–Based Predictors for Breast CancerThe New England Journal of Medicine, 2006
- Repeated observation of breast tumor subtypes in independent gene expression data setsProceedings of the National Academy of Sciences of the United States of America, 2003
- A Gene-Expression Signature as a Predictor of Survival in Breast CancerThe New England Journal of Medicine, 2002
- Gene expression profiling predicts clinical outcome of breast cancerNature, 2002
- Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implicationsProceedings of the National Academy of Sciences of the United States of America, 2001