机构：[1]Laboratory of Molecular Diagnosis of Cancer, Clinical Research Center for Breast, West China Hospital, Sichuan University, Chengdu, China四川大学华西医院[2]Department of Radiology, West ChinaHospital of Sichuan University, Chengdu, China[3]Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, MA, USA[4]Department of breast surgery, SichuanCancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China外科中心乳腺外科中心四川省人民医院四川省肿瘤医院乳腺科[5]Unit of IntegrativeEpidemiology, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden[6]Department of Head, Neck and Mammary Gland Oncology, Cancer Center, West ChinaHospital, Sichuan University, Chengdu, China[7]West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China四川大学华西医院
Background The associations between mammographic radiomics and breast cancer clinical endpoints are unclear. We aimed to identify mammographic radiomics features associated with breast cancer prognosis. Methods Nested from a large breast cancer cohort in our institution, we conducted an extreme case-control study consisting of 207 cases with any invasive disease-free survival (iDFS) endpoint 5-year iDFS. A total of 632 radiomics features in craniocaudal (CC) and mediolateral oblique (MLO) views were extracted from pre-treatment mammography. Logistic regression was used to identify iDFS-associated features with multiple testing corrections (Benjamini-Hochberg method). In a subsample with RNA-seq data (n = 96), gene set enrichment analysis was employed to identify pathways associated with lead features. Results We identified 15 iDFS-associated features from CC-view yet none from MLO-view. S(1,-1)SumAverg and WavEnLL_s-6 were the lead ones and associated with favourable (OR 0.64, 95% CI 0.42-0.87, P = 0.01) and poor iDFS (OR 1.53, 95% CI 1.31-1.76, P = 0.01), respectively. Both features were associated with eight pathways (primarily involving cell cycle regulation) in tumour but not adjacent normal tissues. Conclusion Our findings suggest mammographic radiomics features are associated with breast cancer iDFS, potentially through pathways involving cell cycle regulation.
基金：
National Natural Science Foundation of China (grant
number: 81872307; to DL) and the Key Research and Development Program of
Sichuan Province (grant number: 2022YFS0206; to DL) and the Science and
Technology Support Program of Sichuan Province (grant number: 2021YJ0236; to
SZ).
第一作者机构：[1]Laboratory of Molecular Diagnosis of Cancer, Clinical Research Center for Breast, West China Hospital, Sichuan University, Chengdu, China
共同第一作者：
通讯作者：
通讯机构：[5]Unit of IntegrativeEpidemiology, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden[7]West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
推荐引用方式(GB/T 7714)：
Luo Chuanxu,Zhao Shuang,Peng Cheng,et al.Mammography radiomics features at diagnosis and progression-free survival among patients with breast cancer[J].BRITISH JOURNAL OF CANCER.2022,127(10):1886-1892.doi:10.1038/s41416-022-01958-5.
APA：
Luo, Chuanxu,Zhao, Shuang,Peng, Cheng,Wang, Chengshi,Hu, Kejia...&Lu, Donghao.(2022).Mammography radiomics features at diagnosis and progression-free survival among patients with breast cancer.BRITISH JOURNAL OF CANCER,127,(10)
MLA：
Luo, Chuanxu,et al."Mammography radiomics features at diagnosis and progression-free survival among patients with breast cancer".BRITISH JOURNAL OF CANCER 127..10(2022):1886-1892
医学