Polysulfide Serves as a Hallmark of Desmoplastic Reaction to Differentially Diagnose Ductal Carcinoma In Situ and Invasive Breast Cancer by SERS Imaging

Author:

Kubo Akiko1ORCID,Masugi Yohei2ORCID,Hase Takeshi3,Nagashima Kengo4ORCID,Kawai Yuko5,Takizawa Minako1,Hishiki Takako1,Shiota Megumi6ORCID,Wakui Masatoshi7,Kitagawa Yuko5,Kabe Yasuaki1,Sakamoto Michiie2,Yachie Ayako3,Hayashida Tetsu5,Suematsu Makoto18

Affiliation:

1. Departments of Biochemistry, Keio University School of Medicine, Tokyo 160-8582, Japan

2. Department of Pathology, Keio University School of Medicine, Tokyo 160-8582, Japan

3. The Systems Biology Institute, Tokyo 141-0022, Japan

4. Biostatistics Unit, Clinical and Translational Research Center, Keio University Hospital, Tokyo 160-8582, Japan

5. Department of Surgery, Keio University School of Medicine, Tokyo 160-8582, Japan

6. Analysis Technology Center, CTO Office, FUJIFILM Corporation, Minamiashigara-shi 250-0193, Kanagawa, Japan

7. Department of Laboratory Medicine, Keio University School of Medicine, Tokyo 160-8582, Japan

8. Live Imaging Center, Central Institute for Experimental Animals, Kawasaki-shi 210-0821, Kanagawa, Japan

Abstract

Pathological examination of formalin-fixed paraffin-embedded (FFPE) needle-biopsied samples by certified pathologists represents the gold standard for differential diagnosis between ductal carcinoma in situ (DCIS) and invasive breast cancers (IBC), while information of marker metabolites in the samples is lost in the samples. Infrared laser-scanning large-area surface-enhanced Raman spectroscopy (SERS) equipped with gold-nanoparticle-based SERS substrate enables us to visualize metabolites in fresh-frozen needle-biopsied samples with spatial matching between SERS and HE staining images with pathological annotations. DCIS (n = 14) and IBC (n = 32) samples generated many different SERS peaks in finger-print regions of SERS spectra among pathologically annotated lesions including cancer cell nests and the surrounding stroma. The results showed that SERS peaks in IBC stroma exhibit significantly increased polysulfide that coincides with decreased hypotaurine as compared with DCIS, suggesting that alterations of these redox metabolites account for fingerprints of desmoplastic reactions to distinguish IBC from DCIS. Furthermore, the application of supervised machine learning to the stroma-specific multiple SERS signals enables us to support automated differential diagnosis with high accuracy. The results suggest that SERS-derived biochemical fingerprints derived from redox metabolites account for a hallmark of desmoplastic reaction of IBC that is absent in DCIS, and thus, they serve as a useful method for precision diagnosis in breast cancer.

Funder

JST ERATO Suematsu Gas Biology Project

JST Moonshot Project for Cancer Research

AMED-Moonshot

Human Biology Microbiome Quantum Research Center

Publisher

MDPI AG

Subject

Cell Biology,Clinical Biochemistry,Molecular Biology,Biochemistry,Physiology

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