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MRI-Based Radiomic Models to Predict the Surgical Margin Status and Infer the Tumor Immune Microenvironment in Breast Cancer Patients With Breast-Conserving Surgery: A Multicenter Validation Study

37 Pages Posted: 7 Feb 2022

See all articles by Jiafan Ma

Jiafan Ma

Sun Yat-sen University (SYSU) - Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation

Kai Chen

Sun Yat-sen University (SYSU) - Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation

Shunrong Li

Sun Yat-sen University (SYSU) - Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation

Liling Zhu

Sun Yat-sen University (SYSU) - Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation

Yunfang Yu

Sun Yat-sen University (SYSU) - Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation

Jingwu Li

Tangshan People’s Hospital - Department of Breast Surgery

Jie Ma

Tangshan People’s Hospital - Department of Breast Surgery

Jie Ouyang

Sun Yat-sen University (SYSU) - Department of Breast Surgery

Zhuo Wu

Sun Yat-sen University (SYSU) - Artificial Intelligence Laboratory

Yujie Tan

Sun Yat-sen University (SYSU) - Department of Medical Oncology

Zifan He

Sun Yat-sen University (SYSU) - Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation

Haiqing Liu

Sun Yat-sen University (SYSU) - Department of Radiology

Zhilong Pan

Sun Yat-sen University (SYSU) - Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation

Haojiang Li

Sun Yat-sen University (SYSU) - Department of Radiology

Qiang Liu

Sun Yat-sen University (SYSU) - Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation

Erwei Song

Sun Yat-sen University (SYSU) - Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation

More...

Abstract

Background: Accurate preoperative estimation of the risk of breast-conserving surgery (BCS) surgical margin positivity would be beneficial to surgical planning. In this multicenter validation study, we developed an MRI-based radiomic model to predict the surgical margin status.

Methods: We retrospectively collected preoperative breast MRI of patients undergoing BCS from three hospitals (SYSMH, n=296; SYSUCC, n=131; TSPH, n=143). The radiomic-based models for risk prediction of the margin positivity was trained in the SYSMH patients (7:3 ratio splitted for the training and testing cohorts), and externally validated in the SYSUCC and TSPH cohorts. The model was able to divide patients into different subgroups with varied risk of margin positivity. Moreover, we used the immune-radiomic models and epithelial-mesenchymal transition (EMT) signature to infer the distribution patterns of immune cells and tumor cell EMT status under different marginal status.

Findings: The areas under the curve of the radiomic-based model were 0·78, 0·88, and 0·76 in the testing cohort and two external validation cohorts, respectively. The actual margin positivity rates ranged between 0-10% and 27·3-87·2% in low-risk and high-risk subgroup, respectively. Positive surgical margin was associated with higher levels of EMT and B cell infiltration in the tumor area, as well as the enrichment of B cells, immature dendritic cells, and neutrophil infiltration in the peritumoral area.

Interpretation: This MRI-based predictive model can be used as a reliable tool to predict the risk of margin positivity of BCS and assist the pre-operative surgical planning. Tumor immune-microenvironment alteration was associated with surgical margin status.

Funding Information: No funding.

Declaration of Interests: The authors declare no competing interests.

Ethics Approval Statement: This study has been approved by the ethics committee of each participating institution and was conducted in accordance with the Declaration of Helsinki.

Keywords: Breast cancer, Surgery, Radiomics, Microenvironment, Margin assessment

Suggested Citation

Ma, Jiafan and Chen, Kai and Li, Shunrong and Zhu, Liling and Yu, Yunfang and Li, Jingwu and Ma, Jie and Ouyang, Jie and Wu, Zhuo and Tan, Yujie and He, Zifan and Liu, Haiqing and Pan, Zhilong and Li, Haojiang and Liu, Qiang and Song, Erwei, MRI-Based Radiomic Models to Predict the Surgical Margin Status and Infer the Tumor Immune Microenvironment in Breast Cancer Patients With Breast-Conserving Surgery: A Multicenter Validation Study. Available at SSRN: https://ssrn.com/abstract=4028528 or http://dx.doi.org/10.2139/ssrn.4028528

Jiafan Ma

Sun Yat-sen University (SYSU) - Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation ( email )

Guangzhou
China

Kai Chen

Sun Yat-sen University (SYSU) - Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation ( email )

Guangzhou
China

Shunrong Li

Sun Yat-sen University (SYSU) - Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation ( email )

Guangzhou
China

Liling Zhu

Sun Yat-sen University (SYSU) - Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation ( email )

Guangzhou
China

Yunfang Yu

Sun Yat-sen University (SYSU) - Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation ( email )

Jingwu Li

Tangshan People’s Hospital - Department of Breast Surgery ( email )

Tangshan, Hebei 063001
China

Jie Ma

Tangshan People’s Hospital - Department of Breast Surgery ( email )

Tangshan, Hebei 063001
China

Jie Ouyang

Sun Yat-sen University (SYSU) - Department of Breast Surgery ( email )

Dongguan, 523413
China

Zhuo Wu

Sun Yat-sen University (SYSU) - Artificial Intelligence Laboratory ( email )

Guangzhou
China

Yujie Tan

Sun Yat-sen University (SYSU) - Department of Medical Oncology ( email )

Guangzhou, 510120
China

Zifan He

Sun Yat-sen University (SYSU) - Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation ( email )

Haiqing Liu

Sun Yat-sen University (SYSU) - Department of Radiology ( email )

Guangzhou, Guangdong 510120
China

Zhilong Pan

Sun Yat-sen University (SYSU) - Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation ( email )

Guangzhou
China

Haojiang Li

Sun Yat-sen University (SYSU) - Department of Radiology ( email )

Guangdong, 510060
China

Qiang Liu

Sun Yat-sen University (SYSU) - Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation ( email )

Guangzhou
China

Erwei Song (Contact Author)

Sun Yat-sen University (SYSU) - Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation ( email )

Guangzhou
China

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