The association between mammographic density and breast cancer molecular subtypes: a systematic review and meta-analysis

Bai, S.; Song, D.; Chen, M.; Lai, X.; Xu, J.1,2; Dong, F.1,2

2023-08-01

10.1016/j.crad.2023.04.008

CLINICAL RADIOLOGY   影响因子和分区

0009-9260

1365-229X

AIM: To conduct a systematic review and meta-analysis to evaluate the whether high mammographic density (MD) is differentially associated with all subtypes of breast cancer. MATERIALS AND METHODS: The PubMed, Cochrane Library, and Embase databases were searched systematically in October 2022 to include all studies that investigated the association between MD and breast cancer subtype. Aggregate data of 17,193 breast cancer cases from 23 studies were selected, including five cohort/case-control and 18 case-only studies. The relative risk (RR) of MD were combined using random/fixed effects models for case-control studies, and for case-only studies, relative risk ratios (RRRs) were a combination of luminal A, luminal B, and HER2-positive versus triple-negative tumours. RESULTS: Women in the highest density category in case-control/cohort studies had a 2.24fold (95% confidence interval ICI] 1.53, 3.28), 1.81-fold (95% CI 1.15, 2.85), 1.44-fold (95% CI 1.14, 1.81), and 1.59-fold (95% CI 0.89, 2.85) higher risk of triple-negative, HER-2 (human epidermal growth factor receptor 2) positive, luminal A, and luminal B breast cancer compared to women in the lowest density category. RRRs for breast tumours being luminal A, luminal B, and HER-2 positive versus triple-negative in case-only studies were 1.62 (95% CI 1.14, 2.31), 1.81 (95% CI 1.22, 2.71) and 2.58 (95% CI 1.63, 4.08), respectively, for BIRADS 4 versus BIRADS 1. CONCLUSION: The evidence indicates MD is a potent risk factor for the majority of breast cancer subtypes to different degrees. Increased MD is more strongly linked to HER-2-positive cancers compared to other breast cancer subtypes. The application of MD as a subtype-specific risk marker may facilitate the creation of personalised risk prediction models and screening procedures. & COPY; 2023 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

SCI

英语

通讯

Commission of Science and Technology of Shenzhen[GJHZ20200731095401004]

Radiology, Nuclear Medicine & Medical Imaging

Radiology, Nuclear Medicine & Medical Imaging

WOS:001024889900001

W B SAUNDERS CO LTD

CLINICAL MEDICINE

Web of Science

1.Jinan Univ, Shenzhen Peoples Hosp, Clin Med Coll 2, Dept Ultrasound, Guangzhou, Peoples R China
2.Southern Univ Sci & Technol, Affiliated Hosp 1, Shenzhen 518020, Guangdong, Peoples R China

Bai, S.,Song, D.,Chen, M.,et al. The association between mammographic density and breast cancer molecular subtypes: a systematic review and meta-analysis[J]. CLINICAL RADIOLOGY,2023,78(8).

Bai, S.,Song, D.,Chen, M.,Lai, X.,Xu, J.,&Dong, F..(2023).The association between mammographic density and breast cancer molecular subtypes: a systematic review and meta-analysis.CLINICAL RADIOLOGY,78(8).

Bai, S.,et al."The association between mammographic density and breast cancer molecular subtypes: a systematic review and meta-analysis".CLINICAL RADIOLOGY 78.8(2023).