Epidemiology and pathophysiology of pregnancy-associated breast cancer: A review

Ruiz, Rossana; Herrero, Carmen; Strasser‐Weippl, Kathrin; Touya, Diego; Louis, Jessica St.; Bukowski, Alexandra; Goss, Paul E.

doi:10.1016/j.breast.2017.07.008

Cited by 78 publications

(90 citation statements)

References 63 publications

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“…Other studies have cited similar PABC rates ranging from 2.6% to 6.9% of breast cancer cases in women younger than 45 years of age. 5 Thus, our population has an incidence similar to that previously described in the general population.…”

Section: Resultssupporting

confidence: 80%

“…The pathophysiology behind the differences in nodal involvement is unknown, but may have to do with the dramatic hormonal shifts during and after pregnancy. 5 As with the PABC-I group, there is a significant difference observed in the method of diagnosis. We again found PABC-II cases were more likely diagnosed by self-breast exam compared to non-PABC-II cases (73.5% vs. 51.6%, p=<0.01), whereas non-PABC-II cases were more likely found by mammography compared to PABC-II (31.0% vs. 14.3%, p=<0.01).…”

Section: Resultsmentioning

confidence: 88%

“…5 Only a third of PABC cases are diagnosed during pregnancy with the remaining diagnosed postpartum. 5,13 We were unable to determine if this was the case in our cohorts as this data was not collected. However, the data does demonstrate the change in utility of diagnostic methods.…”

Section: Discussionmentioning

confidence: 99%

“…Delay in diagnosis is likely due to signs of breast cancer mistaken by the patient and clinician as normal changes of the breast during pregnancy and lactation. 5,14 In addition, physiologic changes of the breast make radiographic evaluation difficult. 15 Many guidelines no longer recommend routine screening self- and clinical breast exams due to lack of evidence-based benefit.…”

Section: Discussionmentioning

confidence: 99%

“…2, 4, 5 Frequently, PABC is defined as diagnosis of breast cancer during or within one year of pregnancy/lactation. 3, 6–9 However, there is movement to expand this definition to include those breast cancers diagnosed within five or possibly up to fifteen years after birth.…”

Section: Introductionmentioning

confidence: 99%

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Characteristics and diagnosis of pregnancy and lactation associated breast cancer: Analysis of a self-reported regional registry

Pugh

Giannini

Pinney

et al. 2018

The American Journal of Surgery

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Background: Pregnancy-associated breast cancer (PABC) is the most common malignancy in pregnancy. However due to its infrequent occurrence, PABC continues to be poorly understood. Methods: We performed a retrospective study using self-reported data from 1079 eligible women in a regional breast cancer registry. Results: The PABC cases were more likely than non-PABCs to be younger than age 35 and have nodal involvement at diagnosis. Despite diagnosis at a young age, there was not an association between PABC and family history. For method of diagnosis, PABC was found on self-exam, while non-PABCs were found on mammography. Conclusion: In conclusion, PABC is rarely detected by mammography and diagnosis is highly dependent on detection during self-breast exam. Women who are or recently were pregnant should be encouraged to perform regular self-breast exams to report any changes for further evaluation. Patient and clinician education regarding risk and realities of PABC is essential.

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Section: Resultssupporting

confidence: 80%

Section: Resultsmentioning

confidence: 88%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Characteristics and diagnosis of pregnancy and lactation associated breast cancer: Analysis of a self-reported regional registry

Pugh

Giannini

Pinney

et al. 2018

The American Journal of Surgery

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Genetic and lifestyle factors for breast cancer risk assessment in Southeast China

Zou

Lin

et al. 2023

Cancer Medicine

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BackgroundDespite the rising incidence and mortality of breast cancer among women in China, there are currently few predictive models for breast cancer in the Chinese population and with low accuracy. This study aimed to identify major genetic and life‐style risk factors in a Chinese population for potential application in risk assessment models.MethodsA case–control study in southeast China was conducted including 1321 breast cancer patients and 2045 controls during 2013–2016, in which the data were randomly divided into a training set and a test set on a 7:3 scale. The association between genetic and life‐style factors and breast cancer was examined using logistic regression models. Using AUC curves, we also compared the performance of the logistic model to machine learning models, namely LASSO regression model and support vector machine (SVM), and the scores calculated from CKB, Gail and Tyrer–Cuzick models in the test set.ResultsAmong all factors considered, the best model was achieved when polygenetic risk score, lifestyle, and reproductive factors were considered jointly in the logistic regression model (AUC = 0.73; 95% CI: 0.70–0.77). The models created in this study performed better than those using scores calculated from the CKB, Gail, and Tyrer–Cuzick models. However, the logistic model and machine learning models did not significantly differ from one another.ConclusionIn summary, we have found genetic and lifestyle risk predictors for breast cancer with moderate discrimination, which might provide reference for breast cancer screening in southeast China. Further population‐based studies are needed to validate the model for future applications in personalized breast cancer screening programs.

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Clinical Presentations of Breast Disorders in Pregnancy and Lactation

Kulkarni

2020

Advances in Experimental Medicine and Biology

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Epidemiology and pathophysiology of pregnancy-associated breast cancer: A review

Cited by 78 publications

References 63 publications

Characteristics and diagnosis of pregnancy and lactation associated breast cancer: Analysis of a self-reported regional registry

Characteristics and diagnosis of pregnancy and lactation associated breast cancer: Analysis of a self-reported regional registry

Genetic and lifestyle factors for breast cancer risk assessment in Southeast China

Clinical Presentations of Breast Disorders in Pregnancy and Lactation

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