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1.
Breast Cancer Res ; 25(1): 153, 2023 12 14.
Article in English | MEDLINE | ID: mdl-38098086

ABSTRACT

BACKGROUND: Invasive lobular breast carcinomas (ILC) have different histological features compared to non-special type carcinomas (NST), but the effect of histological subtypes on survival is controversial. In this study, we compared clinicopathological characteristics and outcomes between ILC and NST based on a large pooled data set from three adjuvant breast cancer trials (SUCCESS A, B, and C) and investigated a potential differential effect of recurrence risk related to nodal stage on survival. METHODS: From 2005 to 2017, the large randomized controlled SUCCESS A, B, and C trials enrolled 8190 patients with primary, intermediate-to-high-risk breast carcinoma. All patients received adjuvant chemotherapy, and endocrine and/or HER2-targeted treatment was given where appropriate. Survival outcomes in terms of disease-free survival (DFS), overall survival (OS), breast cancer-specific survival (BCSS), and distant disease-free survival (DDFS) were estimated using the Kaplan-Meier method and analyzed using log-rank tests as well as univariable and adjusted multivariable Cox regression models. RESULTS: In the SUCCESS trials, 6284 patients had NST and 952 had ILC. The median follow-up time was 64 months. ILC patients were older, more likely to receive mastectomy, and more likely to have larger tumor sizes, lymph node infiltration, hormone receptor-positive, HER2neu-negative, and luminal A-like tumors than NST patients. In the overall cohort, no significant differences between ILC and NST were detectable regarding the four survival endpoints, with hazard ratios obtained in adjusted multivariable cox regressions of 0.96 (95% CI 0.77-1.21, p = 0.743) for DFS, 1.13 (95% CI 0.85-1.50, p = 0.414) for OS, 1.21 (95% CI 0.89-1.66, p = 0.229) for BCSS, and 0.95 (95% CI 0.73-1.24, p = 0.689) for DDFS. However, a differential effect of nodal stage on survival was observed, with better survival for ILC patients with pN0/pN1 tumors and worse survival for ILC patients with pN2/pN3 tumors compared to NST patients. CONCLUSIONS: Our results revealed that ILC was associated with worse survival compared to NST for patients at high risk of recurrence due to advanced lymph node infiltration. These findings should be taken into account for treatment decisions and monitoring.


Subject(s)
Breast Neoplasms , Carcinoma, Ductal, Breast , Carcinoma, Lobular , Humans , Female , Breast Neoplasms/drug therapy , Prognosis , Carcinoma, Lobular/drug therapy , Neoplasm Staging , Mastectomy , Carcinoma, Ductal, Breast/pathology
2.
Int J Gynaecol Obstet ; 163(2): 445-452, 2023 Nov.
Article in English | MEDLINE | ID: mdl-37635685

ABSTRACT

OBJECTIVE: Abnormalities of the menstrual cycle were reported after infection with SARS-CoV-2 and vaccination against it, but the available data are very heterogeneous, do not reflect intermenstrual variations or regional differences, and their risk factors are missing. METHODS: We performed a survey-based study among 6383 employees and students of Ulm University Hospital in Germany between March 1 and 31, 2021. Attributes of menstrual cycles such as cycle length (CL), menses duration (MD), and bleeding volume (BV) were reported as categorical variables before and after immunization against SARS-CoV-2 (first, second, third vaccination or infection). Additionally, the potential risk factors for cycle changes were evaluated and all participants reported the subjective perception of changes, their duration, and time of occurrence. RESULTS: The final analysis included 1726 participants. CL and BV significantly changed after vaccination, but not MD. The subjective perception showed only slight levels of agreement with the objective changes, with the highest Cohen's kappa for CL. The risk factors for the variations in CL were previous cycle irregularities, and risk factors for the changes in BV were age and body mass index. The combination of vaccines (homogenous or heterogeneous) and different types of immunization (infection and vaccination) had no significant effect on cycle irregularities. CONCLUSION: In summary, immunization against SARS-CoV-2 causes changes in the characteristics of the menstrual cycle, which are mostly temporary. The individual risk factors, but not the type of immunization, can affect the mentioned changes.


Subject(s)
COVID-19 , SARS-CoV-2 , Female , Humans , COVID-19/epidemiology , COVID-19/prevention & control , Cross-Sectional Studies , Immunization , Menstrual Cycle , Vaccination
3.
Geburtshilfe Frauenheilkd ; 82(9): 941-954, 2022 Sep.
Article in English | MEDLINE | ID: mdl-36110893

ABSTRACT

Purpose Systematic evaluation of health apps designed to support and aid remote monitoring of patients during breast cancer treatment and aftercare. Method A systematic search and assessment of apps was conducted using search terms: breast cancer; breast cancer therapy; and breast cancer aftercare. Evaluation criteria were user assessments, scientifically published benefits, user-friendliness, data protection, app individualization, motivation, and financial aspects. Up to two points (P) could be awarded per criterion. The lowest possible score was 0P and the maximum was 28P. Three examiners from different institutions independently assessed the apps according to the specified criteria. Reference value was defined as the average value given by the examiners. Apps with > 18P were classified as "recommended"; ≥ 11-≤ 18P as "partially recommended" and ≤ 10P as "not recommended". Results A total of 776 apps (n = 24 from the Apple App Store, n = 752 from the Google Play Store) were identified via search query. After applying exclusion criteria, 36 apps (n = 1 from the Apple App Store; n = 35 from the Google Play Store) were evaluated. Using the mean point values of the examiners, 20 apps were classified as not recommended and 12 as partially recommended (≥ 11-≤ 18P). Four apps were rated partially recommended by two examiners and recommended by one examiner. Three apps were rated as recommended by all examiners. Conclusion Only a small minority of available apps meet recommendation criteria. Use of these apps may benefit breast cancer patients.

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