Are there changes in characteristics and therapy of young patients with early-onset breast cancer in Germany over the last decade?

Banz‐Jansen, Constanze; Heinrichs, Alessa; Hedderich, Marianne; Waldmann, Annika; Wedel, Berit; Mebes, Imke; Diedrich, K.; Rody, Achim; Fischer, Dorothea

doi:10.1007/s00404-013-2738-7

Cited by 12 publications

(14 citation statements)

References 14 publications

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“…Basal-like breast cancer is often approximated with the triple negative breast cancer subtype [7]. Triple negative breast cancer is characterized by an adverse prognosis particularly in case of limited sensitivity against neoadjuvant chemotherapy [5,16,24]. It is well described that molecular breast cancer subtypes are associated with significant differences in prognosis [28,35].…”

Section: Introductionmentioning

confidence: 99%

The prognostic impact of age in different molecular subtypes of breast cancer

Liedtke

Rody

Gluz

et al. 2015

Breast Cancer Res Treat

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Breast cancer is a heterogeneous entity composed of distinct molecular subgroups with different molecular and clinical features. We analyzed the association between molecular breast cancer subgroups, age at diagnosis, and prognosis in a compilation of publicly available gene expression datasets. Affymetrix gene expression data (U133A or U133Plus2.0 arrays) of 4467 breast cancers from 40 datasets were compiled and homogenized. Breast cancer subgroups were defined based on expression of ESR1, PR, HER2, and Ki67. Event-free survival was calculated as recurrence-free survival or distant metastasis-free survival if recurrence-free survival was not available. Young age at diagnosis is associated with higher frequency of triple negative and HER2 subtypes and lower frequency of luminal A breast cancers. The 5-year event-free survival rates of patients aged less than 40, between 40 and 50, and >50 years were 54.3 ± 3.5, 68.5 ± 1.9, and 70.4 ± 1.3 %, respectively. When controlling for breast cancer subtype, we found that age <40 years remained significantly associated with poor prognosis in triple negative breast cancer. The effect was modest in luminal tumors and not found in HER2 subtype. Both subtypes and age retained their significances in multivariate analysis. Association of age at diagnosis with molecular breast cancer subtype contributes to its important role as prognostic factor among patients with breast cancer. Still, within the group of triple negative breast cancer, young age <40 years has a significant prognostic value which was retained in multivariate analysis.

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Section: Introductionmentioning

confidence: 99%

The prognostic impact of age in different molecular subtypes of breast cancer

Liedtke

Rody

Gluz

et al. 2015

Breast Cancer Res Treat

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“…This program is unique in that accompanying children were also offered psychological counseling. An earlier analysis showed that the young mothers with BC from this rehabilitation clinic can be regarded as a well-mixed collective with a high degree of representativeness for young BC patients in Germany [2]. However, the access criteria introduced a selection bias: At least 1 child up to the age of 12 and non-metastatic BC were mandatory.…”

Section: Discussionmentioning

confidence: 99%

“…About every 10th woman diagnosed with BC in Germany is younger than 45 years [1] and may not yet have completed her family planning. Younger women are often affected by a more aggressive form of the disease [2], and BC is the most common cause of death in these women [1]. …”

Section: Introductionmentioning

confidence: 99%

Early-Onset Breast Cancer: Effect of Diagnosis and Therapy on Fertility Concerns, Endocrine System, and Sexuality of Young Mothers in Germany

et al. 2018

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Background: The purpose of this study was to analyze the effect of breast cancer therapy on fertility concerns and sexuality of young mothers with breast cancer in Germany. Methods: During a mother-child rehabilitation program, 1,191 young mothers with locoregional primary breast cancer, treated between 2006 and 2014, were recruited. Data included sociodemographic data, TNM stage, tumor biology, therapies, and patient-reported outcomes such as sexuality and fertility concerns. Results: The mean age at diagnosis was 40 years. Approximately a quarter of the patients stated that family planning had not been completed at the time of diagnosis. Nearly half of all patients had been informed as to how treatment could affect fertility, but counseling at a specialized fertility center was offered to only 13%. Of all patients, 4% took a consultation and 2% underwent fertility preservation procedures. Conclusion: Our study indicates that only a minority of patients is referred to fertility centers although family planning is incomplete at the time of diagnosis in about 25% of young women with breast cancer. Thus, these patients should not only be informed about the effects of treatment on fertility and sexuality, but should be referred to a fertility center.

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“…Patients with large tumors, not well differentiated, with no expression of hormonal receptors are expected to have worse prognosis and were treated more aggressively. These tumors are particularly prevalent in young patients (women less than 35 years old) and in spite of many developments in this area, this group is still a special one [2]. The research mark in the past two decades was the discovery of HER2, which showed that patients' treatment must be supported by a molecular understanding of breast tumors.…”

Section: Introductionmentioning

confidence: 98%

Overall Survival Prediction for Women Breast Cancer Using Ensemble Methods and Incomplete Clinical Data

et al. 2014

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Abstract-Breast Cancer is the most common type of cancer in women worldwide. In spite of this fact, there are insufficient studies that, using data mining techniques, are capable of helping medical doctors in their daily practice. This paper presents a comparative study of three ensemble methods (TreeBagger, LPBoost and Subspace) using a clinical dataset with 25% missing values to predict the overall survival of women with breast cancer. To complete the absent values, the k-nearest neighbor (k-NN) algorithm was used with four distinct neighbor values, trying to determine the best one for this particular scenario. Tests were performed for each of the three ensemble methods and each k-NN configuration, and their performance compared using a Friedman test. Despite the complexity of this challenge, the produced results are promising and the best algorithm configuration (TreeBagger using 3 neighbors) presents a prediction accuracy of 73%.

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Are there changes in characteristics and therapy of young patients with early-onset breast cancer in Germany over the last decade?

Cited by 12 publications

References 14 publications

The prognostic impact of age in different molecular subtypes of breast cancer

The prognostic impact of age in different molecular subtypes of breast cancer

Early-Onset Breast Cancer: Effect of Diagnosis and Therapy on Fertility Concerns, Endocrine System, and Sexuality of Young Mothers in Germany

Overall Survival Prediction for Women Breast Cancer Using Ensemble Methods and Incomplete Clinical Data

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