Long-term effects of first degree family history of breast cancer in young women: Recurrences and bilateral breast cancer

Jobsen, Jan J.; Palen, Job van der; Brinkhuis, Mariël; Ong, Francisca; Struikmans, H.

doi:10.3109/0284186x.2015.1074281

Cited by 8 publications

(7 citation statements)

References 26 publications

(31 reference statements)

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“…A study incorporating Utah's Population Database found that women under the age of 50 with a family history of BC were statistically significantly at a greater risk of a poorer survival when compared to those women without; with a relative risk of 1.54 (95% CI: 0.98–2.41) for women with first degree relatives previously diagnosed with BC . In contrast, a recent population‐based study based in Netherlands reported a lower risk of all‐cause death with ≥2 first‐degree relative with family history (HR 0.2; 95% CI 0.06–1.0). Nevertheless, several studies have found no association between family history and BC overall survival .…”

Section: Discussionmentioning

confidence: 99%

Family history of breast cancer and its association with disease severity and mortality

et al. 2016

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A family history (FH) of breast cancer (BC) is known to increase an individual's risk of disease onset. However, its role in disease severity and mortality is less clear. We aimed to ascertain associations between FH of BC, severity and BC‐specific mortality in a hospital‐based cohort of 5354 women with prospective information on FH. We included women diagnosed at Guy's and St Thomas’ NHS Foundation Trust between 1975 and 2012 (n = 5354). BC severity was defined and categorized as good, moderate, and poor prognosis. Data on BC‐specific mortality was obtained from the National Cancer Registry and medical records. Associations between FH and disease severity or BC‐specific mortality were evaluated using proportional odds models and Cox proportional hazard regression models, respectively. Available data allowed adjustment for potential confounders (e.g., treatment, socioeconomic status, and ethnicity). FH of any degree was not associated with disease severity at time of diagnosis (adjusted proportional OR: 1.00 [95% CI: 0.85 to 1.17]), which remained true also after stratification by period of diagnosis. FH of BC was not associated with BC‐mortality HR: 0.99 (95% CI: 0.93 to 1.05). We did not find evidence to support an association between FH of BC and severity and BC‐specific mortality. Our results indicate that clinical management should not differ between women with and without FH, when the underlying mutation is unknown.

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Section: Discussionmentioning

confidence: 99%

Family history of breast cancer and its association with disease severity and mortality

et al. 2016

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“…While for clinical practice, it is not yet clear whether patients would benefit from bilateral mastectomy in terms of mortality (5). More importantly, once diagnosed as CBC, how to develop overall treatment strategies and evaluate the prognosis of these MBBC remains confused in clinical (7)(8)(9)(10)32). Actually, most clinical understanding of MBBC is obviously distinct from unilateral breast cancer (UBC) (11,12), and it is urgently needed to build an evaluation model for predicting the prognosis of MBBC.…”

Section: Introductionmentioning

confidence: 99%

Clonal Evolution Characteristics and Reduced Dimension Prognostic Model for Non-Metastatic Metachronous Bilateral Breast Cancer

Jia

et al. 2021

Preprint

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Background:How to evaluate the prognosis and develop overall treatment strategies of metachronous bilateral breast cancer (MBBC) remains confused in clinical practice.Methods:Data from Surveillance, Epidemiology, and End Results (SEER) database and the first hospital of Jilin university were analyzed for breast cancer-specific cumulative mortality (BCCM) by competing risk model. Whole-exome sequencing was applied for 10 lesions acquired at spatial-temporal distinct regions from 5 patients to reconstruct clonal evolutionary characteristics of MBBC. Dimensional reduction (DR) cumulative incidence function (CIF) curves of MBBC features were established on different point in diagnostic interval time, to build a novel DR nomogram.Results:Significant heterogeneity in genome and clinical features of MBBC was widespread. The mutational diversity of contralateral BC (CBC) was significantly higher than that in primary BC (PBC), and the most effective prognostic MATH ratio was significantly correlated with interval time (R2=0.85, p < .05). In SEER cohort study (n=13304), the interval time was not only significantly affected the BCCM by multivariate analysis (p < .000), but determined the weight of clinical features (T/N stage, grade and ER status) on PBC and CBC in prognostic evaluation. Thus, clinical parameters after DR based on interval time were incorporated into the nomogram for prognostic predicting BCCM. Concordance index was 0.773 (95% CI, 0.769 to 0.776) in training cohort (n=8869), and 0.819 (95% CI, 0.813 to 0.826) in validation cohort (n=4435).Conclusions:Bilateral heterogeneous characteristics and interval time were determinant prognostic factors of MBBC. The DR nomogram may help clinical prognostic evaluation.

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“…However, the prognostic value of family history has not been clearly established. Several studies reported better survival for women with a positive family history of breast cancer as compared to those without [2,3], whereas others reported no difference or worse survival [4][5][6]. A recent meta-analysis performed to clarify this issue demonstrated that having a first-degree relative with breast and/ or ovarian cancer was associated with better overall survival and breast cancer-specific survival [7].…”

Section: Introductionmentioning

confidence: 99%

Concordance of tumour characteristics and survival clustering among pairs of first-degree relatives with breast cancer

et al. 2020

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BACKGROUND: Family history is a known risk factor for breast cancer, but its prognostic value and the prognostic value of tumour characteristics in relation to family history has not been clearly established. In addition, studies of intra-familial tumour characteristics and prognosis in population-based settings are very rare. Two previous studies have suggested that breast cancer prognosis clusters within families. However, both studies lack information on HER2 expression status, which is a strong prognostic factor and could contribute to the observed results.METHODS: We conducted a population-based study on 145 mother-daughter and sister-sister affected pairs using data extracted from the Geneva Cancer Registry. Histopathological characteristics were determined in archived tumour blocks by immunochemistry techniques. Breast cancer survival among family members was studied according to patient and tumour characteristics.RESULTS: No significant intra-familial agreement of pathological characteristic features was observed. We found that relatives of breast cancer patients experienced a much higher risk of breast cancer death compared to the general population. However, we did not find significant concordance in good and poor breast cancer-specific survival between pairs. The small number of family pairs and deaths from breast cancer may partly explain our results. CONCLUSIONS: Large-scale studies with accurate data on strong prognosticators are still needed to confirm the possibility of familial inheritance of breast cancer prognosis.

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Long-term effects of first degree family history of breast cancer in young women: Recurrences and bilateral breast cancer

Cited by 8 publications

References 26 publications

Family history of breast cancer and its association with disease severity and mortality

Family history of breast cancer and its association with disease severity and mortality

Clonal Evolution Characteristics and Reduced Dimension Prognostic Model for Non-Metastatic Metachronous Bilateral Breast Cancer

Concordance of tumour characteristics and survival clustering among pairs of first-degree relatives with breast cancer

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