Peri‐tumoural stroma collagen organization of invasive ductal carcinoma assessed by polarized light microscopy differs between OncotypeDX risk group. Issue 11 (10th August 2020)

• Record Type: Journal Article
• Authors: Jones, Blake; Thomas, Georgia; Sprenger, Jillian; Nofech‐Mozes, Sharon; Khorasani, Mohammadali; Vitkin, Alex
• Is Part Of: Journal of biophotonics. Volume 13:Issue 11(2020)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-08-10
• Subjects: breast cancer -- collagen -- microscopy -- OncotypeDX -- polarized light -- prognostication -- tumor microenvironment; Photonics -- Periodicals; Optical materials -- Periodicals; Optics -- Periodicals; Medical instruments and apparatus -- Periodicals; 621.3605
• DOI: 10.1002/jbio.202000188
• Languages: English
• ISSNs: 1864-063X

Abstract

Abstract: A commercially available genomic test, OncotypeDX has emerged as a useful postsurgical treatment guide for early stage breast cancer. Despite widespread clinical adoption, there remain logistical issues with its implementation. Collagenous stromal architecture has been shown to hold prognostic value that may complement OncotypeDX. Polarimetric analysis of breast cancer surgical samples allows for the quantification of collagenous stroma abundance and organization. We examine intratumoural collagen abundance and alignment along the tumor‐host interface for 45 human samples of invasive ductal carcinoma categorized as low or higher risk by OncotypeDX. Furthermore, we probe the separatory power of collagen alignment patterns to classify unlabeled samples as low or higher OncotypeDX risk group using a linear discriminant (LD) model. No significant difference in mean collagen abundance was found between the two risk groups. However, collagen alignment along the tumor boundary was found to be significantly lower in higher risk samples. The LD model achieved a 71% total accuracy and 81% sensitivity to higher risk samples. Prognostic information extracted from the stromal morphology has potential to complement OncotypeDX as an easy‐to‐implement prescreening methodology. Abstract : This work provides a first step toward improved stratification of breast cancer patients into appropriate treatment pathways. Using a new flavor of polarized light microscopy, the collagen in breast cancer surgical samples was assessed and a model that could classify a patient's risk was developed. We demonstrate the ability of this model to predict the risk group of a commercially available genomic test OncotypeDX.