Epidemiology and Risk Factors of Breast Cancer

Zafar, Tabassum; Naik, Ab Qayoom; Kumar, Manoj; Shrivastava, Vinoy K.

doi:10.1007/978-981-19-0197-3_1

Cited by 4 publications

(3 citation statements)

References 148 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Breast cancer stands out as a frequently diagnosed cancer in women (Ahmad, 2019). Numerous recognized risk factors contribute to breast cancer, encompassing factors such as age, genetic changes, family background, breast density observed in mammograms, as well as menstrual and menopausal aspects (Zafar et al, 2022). Notably, the hormones estrogen and progesterone are acknowledged for their potential to elevate the risk of breast cancer (Hilton et al, 2018).…”

Section: Breast Cancermentioning

confidence: 99%

Multifaceted physiological and therapeutical impact of curcumin on hormone‐related endocrine dysfunctions: A comprehensive review

Wang,

Zhang,

Zhou

2024

Phytotherapy Research

View full text Add to dashboard Cite

Over the past five decades, Curcumin (Cur), derived from turmeric (Curcuma longa), has gained considerable attention for its potential therapeutic applications. Synthesizing insights from clinical trials conducted over the last 25 years, this review delves into diseases where Cur has demonstrated promise, offering a nuanced understanding of its pharmacokinetics, safety, and effectiveness. Focusing on specific examples, the impact of Cur on various human diseases is explored. Endocrine glands and associated signaling pathways are highlighted, elucidating how Cur influences cellular signaling. The article underscores molecular mechanisms such as hormone level alteration, receptor interaction, cytokine and adipokine expression inhibition, antioxidant enzyme activity, and modulation of transcription factors. Cur showcases diverse protective mechanisms against inflammation and oxidative damage by suppressing antiapoptotic genes and impeding tumor promotion. This comprehensive overview emphasizes the potential of Cur as a natural agent for countering aging and degenerative diseases, calling for further dedicated research in this realm.

show abstract

Section: Breast Cancermentioning

confidence: 99%

Multifaceted physiological and therapeutical impact of curcumin on hormone‐related endocrine dysfunctions: A comprehensive review

Wang,

Zhang,

Zhou

2024

Phytotherapy Research

View full text Add to dashboard Cite

show abstract

“…In 2020, an estimated 684 996 women lost their lives to BC, with 2 261 419 newly diagnosed cases. 1,2 Moreover, there has been a decreasing trend in the number of women succumbing to BC since 2007, resulting in an annual 1% drop in the death rate from 2013 to 2018, particularly among women under the age of 50. 1 Several factors influence the risk of developing BC, including determinants of endogenous hormones, such as the early or late onset of menarche and menopause, the late age of first pregnancy, and genetic predisposition.…”

Section: Introductionmentioning

confidence: 99%

“…1,2 Moreover, there has been a decreasing trend in the number of women succumbing to BC since 2007, resulting in an annual 1% drop in the death rate from 2013 to 2018, particularly among women under the age of 50. 1 Several factors influence the risk of developing BC, including determinants of endogenous hormones, such as the early or late onset of menarche and menopause, the late age of first pregnancy, and genetic predisposition. The other influential factors are high intake of the exogenous hormone, physical activity, a healthy diet, smoking, anthropometric characteristics, and family history.…”

Section: Introductionmentioning

confidence: 99%

Survivability Prediction of Breast Cancer Patients Using Three Data Mining Methods: A Comparative Study

Jalali,

Ghasemi,

Nematolahi

et al. 2024

Epidemiol Health System J

View full text Add to dashboard Cite

Background and aims: Breast cancer (BC) is the leading cause of mortality among women. Early diagnosis is crucial for effective treatment. This study applied suitable data mining methods that provide rules and present influential prognostic factors on the survival time of BC patients. Methods: The dataset consisted of 1574 women diagnosed between January 2002 and December 2012 at the Cancer Registry Center of Nemazi hospital in Fars Province, Iran. Patients were classified based on prognostic factors using three popular data mining methods, including decision tree (J48), Naïve Bayes (NB), and nominal logistic regression (NLR). The Weka software was considered to compare these methods using sensitivity, specificity, and accuracy metrics. The outcome of the study was the median survival time, which was categorized into three classes. Results: In total, 212 women (13.5%) died of BC, whose mean age was 49.74 years old. Overall survival rates at 2, 3, 5, and 10 years were 0.98, 0.94, 0.87, and 0.76, respectively. The mean and median survival times were 4.81 and 4.27 years. Sensitivity, specificity, and accuracy for J48 and NB were 0.480, 0.570, and 0.572, as well as 0.483, 0.610, and 0.584, respectively. In addition, the corresponding values were 0.488, 0.584, and 0.579 for NLR, respectively. Further, J48 showed that the Nottingham Prognostic Index (NPI) was the most influential prognostic factor. Conclusion: This paper sought to improve the accuracy of BC classification using data mining methods. Comparing multiple prediction models gave us an insight into the relative prediction abilities of different data mining methods. The results suggested NB as the best classifier due to its higher accuracy and specificity. Finally, J48 identified the NPI as the most effective prognostic factor.

show abstract

Breast Cancer Prediction Framework Based on Iterative Optimization with Bayesian Hyperparameter Tuning

Alsabry,

Algabri,

Ahsan

et al. 2023

2023 3rd International Conference on Emerging Smart Technologies and Applications (eSmarTA)

View full text Add to dashboard Cite

Epidemiology and Risk Factors of Breast Cancer

Cited by 4 publications

References 148 publications

Multifaceted physiological and therapeutical impact of curcumin on hormone‐related endocrine dysfunctions: A comprehensive review

Multifaceted physiological and therapeutical impact of curcumin on hormone‐related endocrine dysfunctions: A comprehensive review

Survivability Prediction of Breast Cancer Patients Using Three Data Mining Methods: A Comparative Study

Breast Cancer Prediction Framework Based on Iterative Optimization with Bayesian Hyperparameter Tuning

Contact Info

Product

Resources

About