Radiogenomic analysis reveals tumor heterogeneity of triple-negative breast cancer

Lin Jiang; Chao You; Yi Xiao; He Wang; Guan-Hua Su; Bing-Qing Xia; Ren-Cheng Zheng; Dan-Dan Zhang; Yi-Zhou Jiang; Ya-Jia Gu; Zhi-Ming Shao

doi:10.1016/j.xcrm.2022.100694

Radiogenomic analysis reveals tumor heterogeneity of triple-negative breast cancer

Cell Rep Med. 2022 Jul 19;3(7):100694. doi: 10.1016/j.xcrm.2022.100694.

Authors

Lin Jiang¹, Chao You², Yi Xiao¹, He Wang³, Guan-Hua Su¹, Bing-Qing Xia⁴, Ren-Cheng Zheng³, Dan-Dan Zhang², Yi-Zhou Jiang⁵, Ya-Jia Gu⁶, Zhi-Ming Shao⁷

Affiliations

¹ Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, No. 270 Dong'an Road, Shanghai 200032, China.
² Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, No. 270 Dong'an Road, Shanghai 200032, China.
³ Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 201203, China.
⁴ Department of Radiology, International Peace Maternity & Child Health Hospital of China Welfare Institute, Shanghai Jiao Tong University, Shanghai 200030, China.
⁵ Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, No. 270 Dong'an Road, Shanghai 200032, China. Electronic address: yizhoujiang@fudan.edu.cn.
⁶ Department of Radiology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, No. 270 Dong'an Road, Shanghai 200032, China. Electronic address: cjr.guyajia@vip.163.com.
⁷ Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, No. 270 Dong'an Road, Shanghai 200032, China. Electronic address: zhimingshao@fudan.edu.cn.

Abstract

Triple-negative breast cancer (TNBC) is a subset of breast cancer with an adverse prognosis and significant tumor heterogeneity. Here, we extract quantitative radiomic features from contrast-enhanced magnetic resonance images to construct a breast cancer radiomic dataset (n = 860) and a TNBC radiogenomic dataset (n = 202). We develop and validate radiomic signatures that can fairly differentiate TNBC from other breast cancer subtypes and distinguish molecular subtypes within TNBC. A radiomic feature that captures peritumoral heterogeneity is determined to be a prognostic factor for recurrence-free survival (p = 0.01) and overall survival (p = 0.004) in TNBC. Combined with the established matching TNBC transcriptomic and metabolomic data, we demonstrate that peritumoral heterogeneity is associated with immune suppression and upregulated fatty acid synthesis in tumor samples. Collectively, this multi-omic dataset serves as a useful public resource to promote precise subtyping of TNBC and helps to understand the biological significance of radiomics.

Keywords: biomarker; prognosis; radiomics; triple-negative breast cancer; tumor heterogeneity.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Biomarkers, Tumor / genetics
Humans
Magnetic Resonance Imaging / methods
Prognosis
Transcriptome
Triple Negative Breast Neoplasms* / diagnostic imaging

Substances

Biomarkers, Tumor