Literature DB >> 24320585

[Smoking and breast cancer].

D Hrubá.   

Abstract

BACKGROUND: Investigation of the relationship between smoking and breast cancer risk did not show a consensus in results - some studies described smoking as a risk factor, while others found its effects protective.
PURPOSE: The newest studies explain these differences by the genetic polymorphism. Cigarette smoke contains at least 20 chemical carcinogens, which are deposited and metabolically activated in the breast and surrounding adipose tissues. The substances are further detected in the nipple discharge or as smoking  specific DNA adducts in breast tissue. Several studies postulate significantly higher risk of breast cancer among women who started smoking at an early age and/ or before their first delivery. Some studies from Japan, China, California have shown that longterm exposure to passive smoking could significantly increase the risk of breast cancer in never smokers, while other scientist reject the evidence of this association as inconsistent. A possible protective effect of smoking on the incidence of breast cancer is explained by antiestrogenic activity of smoking, namely nicotine.
CONCLUSION: Smoking may play a role in the breast cancer incidence. Due to a wide spectrum of harmful effects of smoking, and with regards to the worse prognosis of breast cancer among smoking patients, the common recommendations for cancer prevention are similarly plausible in case of breast cancer - no  smoking, no alcohol, fruit and vegetable consumption, physical activity and body weight control.

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Year:  2013        PMID: 24320585     DOI: 10.14735/amko2013389

Source DB:  PubMed          Journal:  Klin Onkol        ISSN: 0862-495X


  2 in total

1.  Smoking and Fibrocystic Changes in the Breast: A Case Report of a Lifelong Smoker and Changes in Breast Parenchyma.

Authors:  Dujanah S Bhatti; Muhammad Haseeb T Bokhari; Muhammad Adil A Khan
Journal:  Cureus       Date:  2022-06-28

2.  Effect of Smoking on Breast Cancer by Adjusting for Smoking Misclassification Bias and Confounders Using a Probabilistic Bias Analysis Method.

Authors:  Reza Pakzad; Saharnaz Nedjat; Mehdi Yaseri; Hamid Salehiniya; Nasrin Mansournia; Maryam Nazemipour; Mohammad Ali Mansournia
Journal:  Clin Epidemiol       Date:  2020-05-28       Impact factor: 4.790

  2 in total

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