Does tobacco smoke cause breast cancer?

Department of Public Health, University of Tennessee, 1914 Andy Holt Avenue, HPER 390, Knoxville, TN 37996, USA. .
Women s Health 07/2011; 7(4):405-8. DOI: 10.2217/whe.11.39
Source: PubMed
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    ABSTRACT: To measure the impact of MammaPrint on adjuvant treatment decisions and to analyze the agreement in treatment decisions between hospitals from 4 European countries for the same patient cohort. Breast cancer patients were prospectively enrolled and MammaPrint was assessed. Patients' clinical data without and then with MammaPrint results were sent to the different multidisciplinary teams and treatment advice was provided for each patient. Using MammaPrint, chemotherapy treatment advice for ER+/HER2- breast cancer patients was changed in 37% of patients by the Dutch, 24% by the Belgian, 28% by the Italian and 35% by the Spanish teams. MammaPrint increased the inter-institutional agreement in treatment advice (chemotherapy or no chemotherapy) from 51% to 75%. The results of this study indicate that MammaPrint impacts adjuvant chemotherapy recommendation. MammaPrint can decrease inter-institutional and inter-country variability in adjuvant treatment advice for breast cancer patients.
    Breast (Edinburgh, Scotland) 03/2014; 23(4). DOI:10.1016/j.breast.2014.02.011 · 2.58 Impact Factor
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    ABSTRACT: Background: The relationship between passive smoking exposure (PSE) and breast cancer risk is of major interest. Objective: To evaluate the relationship between PSE from partners and breast cancer risk stratified by hormone-receptor (HR) status in Chinese urban women population. Design: Hospital-based matched case control study. Setting: Chinese urban breast cancer patients without current or previous active smoking history in China Medical University 1st Hospital, Liaoning Province, China between Jan 2009 and Nov 2009. Patients: Each breast cancer patient was matched 1:1 with healthy controls by gender and age (+/- 2 years) from the same hospital. Measurements: The authors used unconditional logistic regression analyses to estimate odds ratio for women with PSE from partners and breast cancer risk. Results: 312 pairs were included in the study. Women who endured PSE had significantly increased risk of breast cancer (adjusted OR: 1.46; 95% CI: 1.05-2.03; P = 0.027), comparing with unexposed women. Women who exposed to >5 cigarettes/day also had significant increased risk (adjusted OR: 1.99; 95% CI: 1.28-3.10; P = 0.002), as were women exposed to passive smoke for 16-25 years (adjusted OR: 1.87 95% CI: 1.22-2.86; P = 0.004), and those exposed to > 4 pack-years (adjusted OR: 1.71 95% CI: 1.17-2.50; P = 0.004). Similar trends were significant for estrogen receptor (ER)/progesterone receptor (PR) double positive subgroup(adjusted OR: 1.71; 2.20; 1.99; 1.92, respectively), but not for ER+/PR-, ER-/PR+, or ER-/PR- subgroups. Limitations: limitations of the hospital-based retrospective study, lack of information on entire lifetime PSE and low statistical power. Conclusions: Our findings provide further evidence that PSE from partners contributes to increased risk of breast cancer, especially for ER/PR double positive breast cancer, in Chinese urban women.
    PLoS ONE 05/2014; 9(5):e97498. DOI:10.1371/journal.pone.0097498 · 3.53 Impact Factor
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    ABSTRACT: The reasons for the increasing breast cancer incidence in indigenous Maori compared to non-Maori New Zealand women are unknown. The aim of this study was to assess the association of an index of combined healthy lifestyle behaviours with the risk of breast cancer in Maori and non-Maori women. A population-based case--control study was conducted, including breast cancer cases registered in New Zealand from 2005--2007. Controls were matched by ethnicity and 5-year age bands. A healthy lifestyle index score (HLIS) was generated for 1093 cases and 2118 controls, based on public health and cancer prevention recommendations. The HLIS was constructed from eleven factors (limiting red meat, cream, and cheese; consuming more white meat, fish, fruit and vegetables; lower alcohol consumption; not smoking; higher exercise levels; lower body mass index; and longer cumulative duration of breastfeeding). Equal weight was given to each factor. Logistic regression was used to estimate the associations between breast cancer and the HLIS for each ethnic group stratified by menopausal status. Among Maori, the mean HLIS was 5.00 (range 1--9); among non-Maori the mean was 5.43 (range 1.5-10.5). There was little evidence of an association between the HLIS and breast cancer for non-Maori women. Among postmenopausal Maori, those in the top HLIS tertile had a significantly lower odds of breast cancer (Odds Ratio 0.47, 95% confidence interval 0.23-0.94) compared to those in the bottom tertile. These findings suggest that healthy lifestyle recommendations could be important for reducing breast cancer risk in postmenopausal Maori women.
    BMC Cancer 01/2014; 14(1):12. DOI:10.1186/1471-2407-14-12 · 3.32 Impact Factor