Diabetes and incidence of breast cancer and its molecular subtypes: A systematic review and meta-analysis

被引:7
|
作者
Xiong, Fanxiu [1 ]
Dai, Qichen [2 ]
Zhang, Sihan [3 ]
Bent, Stephen [1 ,4 ]
Tahir, Peggy [5 ]
Van Blarigan, Erin L. [1 ,6 ]
Kenfield, Stacey A. [1 ,6 ]
Chan, June M. M. [1 ,6 ]
Schmajuk, Gabriela [7 ]
Graff, Rebecca E. [1 ,8 ]
机构
[1] Univ Calif San Francisco, Dept Epidemiol & Biostat, San Francisco, CA USA
[2] Chinese Acad Med Sci & Peking Union Med Coll, Canc Hosp, Natl Canc Ctr, Dept Breast Surg, Beijing, Peoples R China
[3] Huazhong Univ Sci & Technol, Tongji Hosp, Tongji Med Coll, Dept Urol, Wuhan, Peoples R China
[4] Univ Calif San Francisco, Dept Psychiat, San Francisco, CA USA
[5] Univ Calif San Francisco, UCSF Lib, San Francisco, CA USA
[6] Univ Calif San Francisco, Dept Urol, San Francisco, CA USA
[7] Univ Calif San Francisco, Dept Med, Div Rheumatol, San Francisco, CA USA
[8] Univ Calif San Francisco, Sch Med, Dept Epidemiol & Biostat, San Francisco, CA 94143 USA
关键词
body mass index; breast cancer; diabetes; menopausal status; molecular subtypes; POPULATION-BASED COHORT; RISK-FACTORS; FOLLOW-UP; POSTMENOPAUSAL WOMEN; METABOLIC SYNDROME; MELLITUS; ASSOCIATION; METFORMIN; GLUCOSE; DIAGNOSIS;
D O I
10.1002/dmrr.3709
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Diabetes mellitus (DM) has been proposed to be positively associated with breast cancer (BCa) risk due to shared risk factors, metabolic dysfunction, and the use of antidiabetic medications. We conducted a systematic review and meta-analysis to evaluate the association between DM and BCa risk. We searched PubMed, Embase, and Web of Science for cohort and case-control studies assessing the association between DM and BCa published before 10 December 2021. Two reviewers independently screened the studies for inclusion, abstracted article data, and rated study quality. Random effects models were used to estimate summary risk ratios (RRs) and 95% confidence intervals (CIs). From 8396 articles identified in the initial search, 70 independent studies were included in the meta-analysis. DM was associated with an overall increased risk of BCa (RR = 1.20, 95% CI: 1.11-1.29). The 24 case-control studies demonstrated a stronger association (RR = 1.26, 95% CI: 1.13-1.40) than the 46 cohort studies (RR = 1.15, 95% CI: 1.05-1.27). Studies reporting risk by menopausal status found that postmenopausal women had an elevated risk of developing BCa (RR = 1.12, 95% CI: 1.07-1.17). No association between DM and BCa risk was observed among premenopausal women (RR = 0.95, 95% CI: 0.85-1.05). In addition, DM was associated with significantly increased risks of oestrogen receptor (ER)+ (RR = 1.09, 95% CI: 1.00-1.20), ER- (RR = 1.16, 95% CI: 1.04-1.30), and triple negative BCa (RR = 1.41, 95% CI: 1.01-1.96). The association estimate for human epidermal growth factor 2-positive BCa was also positive (RR = 1.21, 95% CI: 0.52-2.82), but the CI was wide and crossed the null. Our meta-analysis confirms a modest positive association between DM and BCa risk. In addition, our results suggest that the association between DM and BCa may be modified by menopausal status, and that DM may be differentially associated with BCa subtypes defined by receptor status. Additional studies are warranted to investigate the mechanisms underlying these associations and any influence of DM on BCa receptor expression.
引用
收藏
页数:16
相关论文
共 50 条
  • [21] INCIDENCE AND PREVALENCE OF DELIRIUM SUBTYPES IN THE ICU: A SYSTEMATIC REVIEW AND META-ANALYSIS
    Fiest, Kirsten
    Leigh, Jeanna Parsons
    Farris, Megan
    Doig, Lauren
    Codan, Cassidy
    Ely, Wes
    Stelfox, Henry
    CRITICAL CARE MEDICINE, 2016, 44 (12)
  • [22] Breast cancer and its determinants in Ethiopia: a systematic review and meta-analysis
    Shama, Adisu Tafari
    Terefa, Dufera Rikitu
    Desisa, Adisu Ewunetu
    Lema, Matiyos
    Cheme, Melese Chego
    Geta, Edosa Tesfaye
    Feyisa, Jira Wakoya
    Feyisa, Bikila Regassa
    Biru, Bayise
    BMJ OPEN, 2024, 14 (11):
  • [23] Radiomic differentiation of breast cancer molecular subtypes using pre-operative breast imaging - A systematic review and meta-analysis
    Davey, Matthew G.
    Davey, Martin S.
    Boland, Michael R.
    Ryan, Eanna J.
    Lowery, Aoife J.
    Kerin, Michael J.
    EUROPEAN JOURNAL OF RADIOLOGY, 2021, 144
  • [24] Clinical Value of Consensus Molecular Subtypes in Colorectal Cancer: A Systematic Review and Meta-Analysis
    ten Hoorn, Sanne
    de Back, Tim R.
    Sommeijer, Dirkje W.
    Vermeulen, Louis
    JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE, 2022, 114 (04): : 503 - 516
  • [25] Diabetes mellitus and prognosis in women with breast cancer A systematic review and meta-analysis
    Zhao, Xiao-Bo
    Ren, Guo-Sheng
    MEDICINE, 2016, 95 (49) : e5602
  • [26] Subtypes of Benign Breast Disease as a Risk Factor for Breast Cancer: A Systematic Review and Meta-Analysis Protocol
    Zendehdel, Manoosh
    Niakan, Babak
    Keshtkar, Abbasali
    Rafiei, Elahe
    Salamat, Fatemeh
    IRANIAN JOURNAL OF MEDICAL SCIENCES, 2018, 43 (01) : 1 - 8
  • [27] Breast cancer incidence following ovarian cancer with BRCA mutation: systematic review and meta-analysis
    Kim, Migang
    Kim, Seo Yeon
    Kim, Young Tak
    Lee, Chan
    Jung, Sang Geun
    Choi, Min Chul
    Park, Hyun
    Song, Seung Hun
    Lee, Jung Hoon
    Joo, Won Duk
    INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER, 2023, 33 (SUPPL_4) : A96 - A96
  • [28] Thiazolidinedione use and cancer incidence in type 2 diabetes: A systematic review and meta-analysis
    Colmers, I. N.
    Bowker, S. L.
    Johnson, J. A.
    DIABETES & METABOLISM, 2012, 38 (06) : 475 - 484
  • [29] Molecular imaging approaches in the diagnosis of breast cancer: A systematic review and meta-analysis
    Tadesse, Getu Ferenji
    Geramifar, Parham
    Ghafarian, Pardis
    Cheka, Eshetu Ejeta
    Tegaw, Eyachew Misgana
    Feyisa, Seifu Gizaw
    Sadeghi, Ramin
    Ay, Mohammad Reza
    IRANIAN JOURNAL OF NUCLEAR MEDICINE, 2020, 28 (01): : 1 - 13
  • [30] A systematic review of breast cancer incidence risk prediction models with meta-analysis of their performance
    Catherine Meads
    Ikhlaaq Ahmed
    Richard D. Riley
    Breast Cancer Research and Treatment, 2012, 132 : 365 - 377