Impact of comorbidities at diagnosis on the 10-year colorectal cancer net survival: A population-based study.

BACKGROUND: It is established that comorbidities negatively influence colorectal cancer (CRC)-specific survival. Only few studies have used the relative survival (RS) setting to estimate this association, although RS has been proven particularly useful considering the inaccuracy in death certification. This study aimed to investigate the impact of non-cancer comorbidities at CRC diagnosis on net survival, using cancer registry data. METHODS: We included 1076 CRC patients diagnosed between 2000 and 2001 in the canton of Zurich. The number and severity of comorbidities was expressed using the Charlson Comorbidity Index (CCI). Multiple imputation was performed to account for missing information and 10-year net survival was estimated by modeling the excess hazards of death due to CRC, using flexible parametric models. RESULTS: After imputation, approximately 35 % of the patients were affected by comorbidities. These appeared to decrease the 10-year net survival; the estimated excess hazard ratio for patients with one mild comorbidity was 2.14 (95 % CI 1.60-2.86), and for patients with one more severe or more than one comorbidity was 2.43 (95 % CI 1.77-3.34), compared to patients without comorbidities. CONCLUSIONS: Our analysis suggested that non-cancer comorbidities at CRC diagnosis significantly decrease the 10-year net survival. Future studies should estimate net survival of CRC including comorbidities as prognostic factor and use a RS framework to overcome the uncertainty in death certification.

Are there sex differences among colorectal cancer patients in treatment and survival? A Swiss cohort study.

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.

37-year incidence and mortality time trends of common cancer types by sex, age, and stage in the canton of Zurich.

AIMS OF THE STUDY: The Cancer Registry Zurich, Zug, Schaffhausen and Schwyz is one of the oldest cancer registries in Switzerland, first registering tumours in 1980 for the canton of Zurich. The aim of this study was to analyse trends in incidence and mortality for the most common types of cancer in the canton of Zurich from 1981 to 2017. METHODS: In this analysis of population-based cancer registry data, we included malignant tumours of the breast (ICD10 C50), prostate (C61), colon/rectum (C18–C21), lung (C33–C34), and melanoma (C43), diagnosed between 1981 and 2017. Age-standardised incidence and mortality rates per 100,000 person-years were computed using the 1976 European Standard Population. Incidence and mortality time trends were assessed using joinpoint regression analysis. RESULTS: In men, incidence for prostate cancer and melanoma increased over the study period, while it decreased for colon/rectum and lung cancer. A joinpoint for prostate cancer indicated the start of a decreasing trend in 2002. In women, incidence increased for breast cancer, lung cancer and melanoma; no trend was observed for colon/rectum cancer. Cancer mortality decreased for prostate, colon/rectum and lung cancer in men, with no clear trend for melanoma. In women, mortality decreased for breast cancer, colon/rectum cancer and melanoma, but increased for lung cancer. CONCLUSIONS: The overall increasing incidence trends for prostate and breast cancer, as well as for melanoma, are in line with data from other Western countries. While lung cancer incidence is decreasing in men, it is still on the rise in women. Despite increasing incidence rates, mortality rates are decreasing for all localisations except for lung cancer in women. The opposite direction of incidence and mortality curves is probably mostly due to better and more effective treatment options, as well as earlier detection.

Cancer of unknown primary-Epidemiological trends and relevance of comprehensive genomic profiling.

BACKGROUND: Cancer of unknown primary (CUP) is a distinct clinicopathological entity with poor prognosis, frequently resistant to chemotherapy. Comprehensive genomic profiling (CGP) by next-generation sequencing potentially identifies novel treatment options for CUP patients. The objective of this study was to determine incidence and survival trends and to discuss the value of CGP in CUP patients. METHODS: Age-standardized incidence rates (ASR) per 100 000 were calculated for 2935 CUP patients from 1981 to 2014 using cancer registry data of the canton of Zurich, Switzerland. Kaplan-Meier survival curves were estimated for sex, age, and histological groups. Cox proportional hazards regression models were used to estimate adjusted hazard ratios (HR). A literature review was conducted to assess the current use of CGP in CUP patients. RESULTS: ASR of CUP increased from 10.3 to 17.6 between 1981 and 1997 and decreased to 5.8/100 000 in 2014. Mean overall survival remained stable. Mortality was significantly lower for patients with squamous cell carcinoma (HR 0.48 [95% CI, 0.41-0.57]) and neuroendocrine carcinoma (0.75 [0.63-0.88]) and higher for unclassified neoplasms (1.25 [1.13-1.66]) compared to adenocarcinomas. The literature review identified 10 studies using CGP of CUP tissue. Clinically relevant mutations were identified in up to 85% of CUP patients, of which 13%-64% may benefit from currently available drugs. CONCLUSIONS: CUP incidence decreased probably due to improved diagnostics, but mortality did not improve over the last 34 years. CGP testing may help to identify molecular signatures in CUP patients and enable targeted treatment.

Impact of comorbidities at diagnosis on prostate cancer treatment and survival.

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.