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Background: Colorectal cancer (CRC) is among the three most common incident cancers and causes of cancer death in Switzerland for both men and women. To promote aspects of gender medicine, we examined differences in treatment decision and survival by sex in CRC patients diagnosed 2000 and 2001 in the canton of Zurich, Switzerland. Methods: Characteristics assessed of 1076 CRC patients were sex, tumor subsite, age at diagnosis, tumor stage, primary treatment option and comorbidity rated by the Charlson Comorbidity Index (CCI). Missing data for stage and comorbidities were completed using multivariate imputation by chained equations. We estimated the probability of receiving surgery versus another primary treatment using multivariable binomial logistic regression models. Univariable and multivariable Cox proportional hazards regression models were used for survival analysis. Results: Females were older at diagnosis and had less comorbidities than men. There was no difference with respect to treatment decisions between men and women. The probability of receiving a primary treatment other than surgery was nearly twice as high in patients with the highest comorbidity index, CCI 2+, compared with patients without comorbidities. This effect was significantly stronger in women than in men (p-interaction = 0.010). Survival decreased with higher CCI, tumor stage and age in all CRC patients. Sex had no impact on survival. Conclusion: The probability of receiving any primary treatment and survival were independent of sex. However, female CRC patients with the highest CCI appeared more likely to receive other therapy than surgery compared to their male counterparts. [ABSTRACT FROM AUTHOR]

Purpose: Increase in in situ breast cancer (BCIS) incidence has been reported across Europe and the USA. However, little is known about the trends in BCIS incidence in regions without population-based mammographic screening programs. We set out to investigate these trends in Zurich, Switzerland, where only opportunistic mammographic screening exists.Methods: Data from 989 women diagnosed with a primary BCIS between 2003 and 2014 were used in our analyses. Age-standardized incidence rates per 100,000 person-years (ASR) were computed per year. Additional analyses by BCIS subtype, by age group at diagnosis and by incidence period were conducted. Incidence trends over time were assessed using joinpoint regression analysis.Results: The overall BCIS ASR was 10.7 cases per 100,000 person-years with an increasing trend over the study period. A similar trend was observed for the ductal carcinoma in situ (DCIS) ASR, while the lobular carcinoma in situ (LCIS) ASR decreased. Age-specific analyses revealed that the 50-59 year age group had the highest BCIS ASR. The highest increase in BCIS ASR, even though not statistically significant, was observed for the < 40 year age group.Conclusions: BCIS ASR increased linearly over a 12-year period. The increase was reflected by an increase in DCIS ASR, whereas LCIS ASR decreased over time. The highest increase in BCIS ASR over the study period was observed for the < 40 year age group, even though not statistically significant. Patient and tumor characteristics of this group that may be associated with BCIS development warrant further investigation. [ABSTRACT FROM AUTHOR]

Background: The aim of this study was to assess the associations of comorbidities with primary treatment of prostate cancer (PCa) patients and of comorbidities with PCa-specific mortality (PCSM) compared to other-cause mortality (OCM) in Switzerland.Patients and methods: We included 1527 men diagnosed with PCa in 2000 and 2001 in the canton of Zurich. Multiple imputation methods were applied to missing data for stage, grade and comorbidities. Multinomial logistic regression analyses were used to explore the associations of comorbidities with treatment. Cox regression models were used to estimate all-cause mortality, and Fine and Gray competing risk regression models to estimate sub-distribution hazard ratios for the outcomes PCSM and OCM.Results: Increasing age was associated with a decreasing probability of receiving curative treatment, whereas an increasing Charlson Comorbidity Index (CCI) did not influence the treatment decision as strongly as age. The probability of OCM was higher for patients with comorbidities compared to those without comorbidities [CCI 1: hazard ratio 2.07 (95% confidence interval 1.51-2.85), CCI 2+: 2.34 (1.59-3.44)]; this was not observed for PCSM [CCI 1: 0.79 (0.50-1.23), CCI 2+: 0.97 (0.59-1.59)]. In addition, comorbidities had a greater impact on the patients’ mortality than age.Conclusions: The results of the current study suggest that chronological age is a stronger predictor of treatment choices than comorbidities, although comorbidities have a larger influence on patients’ mortality. Hence, inclusion of comorbidities in treatment choices may provide more appropriate treatment for PCa patients to counteract over- or undertreatment. [ABSTRACT FROM AUTHOR]