Collagen signature as a novel biomarker to predict axillary lymph node metastasis in breast cancer using multiphoton microscopy. Issue 6 (22nd February 2022)

• Record Type: Journal Article
• Authors: Fang, Ye; Kang, Deyong; Guo, Wenhui; Zhang, Qingyuan; Xu, Shuoyu; Huang, Xingxin; Xi, Gangqin; He, Jiajia; Wu, Shulian; Li, Lianhuang; Han, Xiahui; Chen, Jianhua; Zheng, Liqin; Wang, Chuan; Chen, Jianxin
• Is Part Of: Journal of biophotonics. Volume 15:Issue 6(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-02-22
• Subjects: axillary lymph node metastasis -- breast cancer -- multiphoton microscopy -- TACS corresponding microscopic features -- tumor‐associated collagen signatures; Photonics -- Periodicals; Optical materials -- Periodicals; Optics -- Periodicals; Medical instruments and apparatus -- Periodicals; 621.3605
• DOI: 10.1002/jbio.202100365
• Languages: English
• ISSNs: 1864-063X

Abstract

Abstract: Accurate identification of axillary lymph node (ALN) status is crucial for tumor staging procedure and decision making. This retrospective study of 898 participants from two institutions was conducted. The aim of this study is to evaluate the diagnostic performance of clinical parameters combined with collagen signatures (tumor‐associated collagen signatures [TACS] and the TACS corresponding microscopic features [TCMF]) in predicting the probability of ALN metastasis in patients with breast cancer. These findings suggest that TACS and TCMF in the breast tumor microenvironment are both novel and independent biomarkers for the estimation of ALN metastasis. The nomogram based on independent clinical parameters combined with TACS and TCMF yields good diagnostic performance in predicting ALN status. Abstract : Accurate axillary lymph node (ALN) assessment is critical for tumor staging and decision making. In this study, collagen signatures (TACS and TCMF) extracted from multiphoton images are associated with ALN metastasis. Our study indicated that MPM method should be a promising method to predict the probability of ALN metastasis.