Prediction of Receptor Status in Radiomics: Recent Advances in Breast Cancer Research

Jun-Yuan Lin; Jia-Yi Ye; Jin-Guo Chen; Shu-Ting Lin; Shu Lin; Si-Qing Cai

doi:10.1016/j.acra.2023.12.012

Prediction of Receptor Status in Radiomics: Recent Advances in Breast Cancer Research

Acad Radiol. 2023 Dec 26:S1076-6332(23)00687-6. doi: 10.1016/j.acra.2023.12.012. Online ahead of print.

Authors

Jun-Yuan Lin¹, Jia-Yi Ye¹, Jin-Guo Chen¹, Shu-Ting Lin¹, Shu Lin², Si-Qing Cai³

Affiliations

¹ Department of Radiology, the Second Affiliated Hospital of Fujian Medical University, No. 34 North Zhongshan Road, Quanzhou, 362000, Fujian Province, China (J.Y.L., S.Q.C.).
² Center of Neurological and Metabolic Research, the Second Affiliated Hospital of Fujian Medical University, No. 34 North Zhongshan Road, Quanzhou, 362000, Fujian Province, China (J.Y.Y., J.G.C., S.T.L., S.L.); Group of Neuroendocrinology, Garvan Institute of Medical Research, 384 Victoria St, Sydney, Australia (S.L.).
³ Department of Radiology, the Second Affiliated Hospital of Fujian Medical University, No. 34 North Zhongshan Road, Quanzhou, 362000, Fujian Province, China (J.Y.L., S.Q.C.). Electronic address: c9198612021@fjmu.edu.cn.

PMID: 38151383
DOI: 10.1016/j.acra.2023.12.012

Abstract

Breast cancer is a multifactorial heterogeneous disease and the leading cause of cancer-related deaths in women; its diagnosis and treatment require clinical sensitivity and a comprehensive disciplinary research approach. The expression of different receptors on tumor cells not only provides the basis for molecular typing of breast cancer but also has a decisive role in the diagnosis, treatment, and prognosis of breast cancer. To date, immunohistochemistry (IHC), which uses invasive histological sampling, has been extensively used in clinical practice to analyze the status of receptors and to make an accurate diagnosis of breast cancer. As an invasive assay, IHC can provide important biological information on tumors at a single point in time, but cannot predict future changes (due to treatment or tumor mutations) without additional invasive procedures. These issues highlight the need to develop a non-invasive method for predicting receptor status. The emerging field of radiomics may offer a non-invasive approach to identification of receptor status without requiring biopsy. In this paper, we present a review of the latest research results in radiomics for predicting the status of breast cancer receptors, with potential important clinical applications.

Keywords: Breast cancer; Forecasting; Radiomics; Receptors.

Publication types

Review