scholarly journals Association of Family History with the Development of Breast Cancer: A Cohort Study of 129,374 Women in KoGES Data

2021 ◽  
Vol 18 (12) ◽  
pp. 6409
Author(s):  
Hyo Geun Choi ◽  
Jung Ho Park ◽  
Yeon Ju Choi ◽  
Yong Joon Suh
Keyword(s):  
Breast Cancer ◽  
Cohort Study ◽  
Family History ◽  
Odds Ratio ◽  
Significant Risk ◽  
Premenopausal Women ◽  
Significant Risk Factor ◽  
Large Cohort ◽  
Large Cohort Study ◽  
History Of

Background: Breast cancer is the most common cancer among women. The Korean Genome and Epidemiology Study (KoGES) is a large cohort study that is available to the public. Using this large cohort study, we aimed to unravel the relationship between breast cancer development and a family history of breast cancer in Korea. Methods: This cohort study relied on data from the KoGES from 2001 through 2013. A total of 211,725 participants were screened. Of these, 129,374 women were evaluated. They were divided into two groups, including participants with and without breast cancer. A logistic regression model was used to retrospectively analyze the odds ratio of breast cancer history in families of women with and without breast cancer. Results: Of 129,374 women, 981 had breast cancer. The breast cancer group had more mothers and siblings with histories of breast cancer (p < 0.001). A history of breast cancer in the participant’s mother resulted in an odds ratio of 3.12 (1.75–5.59), and a history of breast cancer in the participant’s sibling resulted in an odds ratio of 2.63 (1.85–3.74). There was no interaction between the history of maternal breast cancer and the history of sibling breast cancer. Based on the subgroup analysis, family history was a stronger factor in premenopausal women than in menopausal and postmenopausal women. Conclusions: A family history of breast cancer is a significant risk factor for breast cancer in Korea. Premenopausal women with a maternal history of breast cancer are of particular concern. Intensive screening and risk-reducing strategies should be considered for this vulnerable subpopulation.

scholarly journals Predictors of mammographic density among women with a strong family history of breast cancer

BMC Cancer ◽  
2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Olivia Moran ◽  
Andrea Eisen ◽  
Rochelle Demsky ◽  
Kristina Blackmore ◽  
Julia A. Knight ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Body Weight ◽  
Family History ◽  
Mammographic Density ◽  
Premenopausal Women ◽  
Percent Density ◽  
Strong Family History ◽  
Dense Area ◽  
History Of

Abstract Background Mammographic density is one of the strongest risk factors for breast cancer. In the general population, mammographic density can be modified by various exposures; whether this is true for women a strong family history is not known. Thus, we evaluated the association between reproductive, hormonal, and lifestyle risk factors and mammographic density among women with a strong family history of breast cancer but no BRCA1 or BRCA2 mutation. Methods We included 97 premenopausal and 59 postmenopausal women (age range: 27-68 years). Risk factor data was extracted from the research questionnaire closest in time to the mammogram performed nearest to enrollment. The Cumulus software was used to measure percent density, dense area, and non-dense area for each mammogram. Multivariate generalized linear models were used to evaluate the relationships between breast cancer risk factors and measures of mammographic density, adjusting for relevant covariates. Results Among premenopausal women, those who had two live births had a mean percent density of 28.8% vs. 41.6% among women who had one live birth (P=0.04). Women with a high body weight had a lower mean percent density compared to women with a low body weight among premenopausal (17.6% vs. 33.2%; P=0.0006) and postmenopausal women (8.7% vs. 14.7%; P=0.04). Among premenopausal women, those who smoked for 14 years or longer had a lower mean dense area compared to women who smoked for a shorter duration (25.3cm2 vs. 53.1cm2; P=0.002). Among postmenopausal women, former smokers had a higher mean percent density (19.5% vs. 10.8%; P=0.003) and dense area (26.9% vs. 16.4%; P=0.01) compared to never smokers. After applying the Bonferroni correction, the association between body weight and percent density among premenopausal women remained statistically significant. Conclusions In this cohort of women with a strong family history of breast cancer, body weight was associated with mammographic density. These findings suggest that mammographic density may explain the underlying relationship between some of these risk factors and breast cancer risk, and lend support for the inclusion of mammographic density into risk prediction models.

scholarly journals Assessment of Breast Cancer Risk Based on Mammary Gland Volume Measured with CT

2010 ◽  
Vol 4 ◽  
pp. BCBCR.S5248 ◽  
Author(s):  
Megumi Kuchiki ◽  
Takaaki Hosoya ◽  
Akira Fukao
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Cancer Patients ◽  
Odds Ratio ◽  
Premenopausal Women ◽  
Breast Cancer Patients ◽  
History Of ◽  
The Relationship

We investigated the relationship between mammary gland volume (MGV) of the breast as measured with three-dimensional chest computed tomography (CT) and breast cancer risk. Univariate analysis was used to assess the relationship between MGV and known risk factors in 427 healthy women. A case control study (97 cases and 194 controls) was conducted to assess breast cancer risk. MGV was significantly smaller for postmenopausal women than for premenopausal women, and was significantly larger for women with a family history of breast cancer than for women without. MGV, body mass index (BMI), and rate of family history of breast cancer were significantly higher among breast cancer patients than among healthy women, and number of deliveries was significantly lower among breast cancer patients. In postmenopausal women, age at menarche was significantly younger for breast cancer patients. MGV correlated well with breast cancer risk factors. The highest odds ratio was 4.9 for premenopausal women with the largest MGV. Regardless of menopausal status, the greater the MGV, the higher the odds ratio. Our results constitute the first reliable data on the relationship between MGV and breast cancer obtained through exact volume analysis.

scholarly journals Breast Cancer-Related Lymphedema Risk is Related to Multidisciplinary Treatment and Not Surgery Alone: Results from a Large Cohort Study

2017 ◽  
Vol 24 (10) ◽  
pp. 2972-2980 ◽  
Author(s):  
Toan T. Nguyen ◽  
Tanya L. Hoskin ◽  
Elizabeth B. Habermann ◽  
Andrea L. Cheville ◽  
Judy C. Boughey
Keyword(s):  
Breast Cancer ◽  
Cohort Study ◽  
Multidisciplinary Treatment ◽  
Large Cohort ◽  
Large Cohort Study ◽  
Breast Cancer Related Lymphedema

Postpartal psychosis: Serbian experience

2011 ◽  
Vol 26 (S2) ◽  
pp. 1098-1098
Author(s):  
M. Jasovic-Gasic ◽  
A. Damjanovic ◽  
M. Ivkovic ◽  
B. Dunjic-Kostic
Keyword(s):  
Family History ◽  
Psychiatric Disorders ◽  
Positive Family History ◽  
Clinical Manifestations ◽  
Significant Risk ◽  
Significant Risk Factor ◽  
Psychiatric Disturbances ◽  
Psychological Disturbances ◽  
Clinical Center ◽  
History Of

IntroductionChildbirth and the postpartal period present a form of specific maturational crisis and an extremely vulnerable period for every woman, especially for those who have potential for some psychological disturbances.AimWe explored sociodemographic and clinical manifestations of women in the postpartal period who were hospitalized at the Institute of Psychiatry, Clinical Center of Serbia.MethodThis retrospective study included 60 patients with psychiatric disorders developed within six months after childbirth. Inclusion criteria were: negative psychiatric hystory, negative history of puerperal episode, and postpartal disorder as a first manifestation of psychiatric disturbances. Patients were diagnosed according to RDC criteria (research diagnostic criteria).ResultsPatients with psychotic features were predominant, average age 23.6; married; mothers of male offspring and with positive family history of psychiatric disorders in 30%. Subacute development of clinical manifestations was noticed, 3.5 weeks after childbirth on average. No psychopathology was observed before third postpartal day. Obstetric manifestations did not influence psychopathology.ConclusionChildbirth is a significant risk factor for the expression of mental dysfunction in the puerperal period. The most vulnerable group is women with clinical expression of dysfunction, specific sociodemographic characteristics, and positive family history of psychiatric disorders.

Gynecological Cancer as a Second Malignancy in Patients With Breast Cancer

2017 ◽  
Vol 27 (6) ◽  
pp. 1298-1304 ◽  
Author(s):  
Budhi Singh Yadav ◽  
Suresh C. Sharma ◽  
Firuza D. Patel ◽  
Bhavana Rai ◽  
Sushmita Ghoshal
Keyword(s):  
Breast Cancer ◽  
Risk Factor ◽  
Relative Risk ◽  
Family History ◽  
Hormonal Therapy ◽  
Gynecological Cancer ◽  
Significant Risk ◽  
Second Primary ◽  
Second Malignancy ◽  
History Of

PurposeThe aim of this study was to determine the incidence and risk factors for gynecological cancer as second malignancy (SM) after treatment of breast cancer (BC).Methods and MaterialsBetween January 1985 and December 2007, a total of 2756 patients with BC were analyzed for gynecological cancers as an SM. Analysis was carried out for patient-, disease-, and treatment-related characteristics. The Cox proportional hazards regression model was used to estimate the relative risk of gynecologic malignancies.ResultsThe median age at BC diagnosis was 49 years and median follow-up of 14 years. In total, 25 cases of gynecological cancer were noted with an incidence of 0.9%. We observed 9 ovarian and endometrium (0.3%) as well as 7 uterine cervix (0.25%) cancers. Family history of BC was the most significant risk factor for SM (relative risk, 7.4; 95% confidence interval, 3.03–18.28; P<0.001). Women with a family history of BC had a higher incidence of endometrial (12%) and ovarian (16%) cancer compared with those who have no family history (0.1%, P = 0.003). Statistically significant higher incidence of endometrial cancer was seen in patients undergoing hormonal therapy (0.4%) as compared with those who are not undergoing hormonal therapy (0.1%, P = 0.001). Most of the endometrial (88.9%) and cervical (71%) cancers were detected at an early stage but ovarian cancers (66.6%) in advanced stage. Chemotherapy and radiotherapy did not increase the risk of gynecological SM.ConclusionsWomen with BC are at risk of developing a second primary gynecological malignancy particularly of endometrium and ovary. Family history of BC was a high risk factor for gynecologic SM. These patients should be followed up for its early detection.

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