Background: With improving prognosis, the ability to return to work after cancer has become a realistic goal but only little is known regarding details such as sustainability, financial consequences, and potential determinants of return to work in long-term survivors in Germany. Methods: We studied return to work in a population-based sample of 1558 long-term cancer survivors, diagnosed in 1994–2004 with breast, colorectal or prostate cancer before age 60 (mean 50.1). Information regarding employment status and financial difficulties was obtained via mailed questionnaires from patients who were identified by six population-based cancer registries in Germany. Cumulative incidence of return to work was determined by time-to-event analysis with consideration of competing events. Chi² tests and multiple logistic regression modeling were employed to identify potential sociodemographic and clinical determinants of return to work. Results: Within a mean period since diagnosis of 8.3 years, 63% of all working-age cancer survivors initially returned to their old job and another 7% took up a new job. Seventeen percent were granted a disability pension, 6% were early retired (not cancer-related), 4% became unemployed, and 1% left the job market for other reasons. Resumption of work occurred within the first 2 years after diagnosis in 90% of all returnees. Cancer-related reduction of working hours was reported by 17% among all returnees and 6% quit their job due to cancer within 5 years past return to work. The probability of return to work was strongly related with age at diagnosis, tumor stage, education, and occupational class but did not differ with respect to the tumor site, gender nor marital status. Conclusions: Most long-term survivors after breast, colorectal, or prostate cancer of working-age are able to return to work. However, financial problems might arise due to a reduction in working hours. An additional provision of targeted interventions for high-risk groups should be discussed.

Background: Depression is more prevalent in breast cancer (BC) survivors than in the general population. However, little is known about depression in long‐term survivors. Study objectives were: (1) to compare the age‐specific prevalence of depressive symptoms (a) in BC survivors vs female population controls, (b) in disease‐free BC survivors vs BC survivors with self‐reported recurrence vs controls, and (2) to explore determinants of depression in BC survivors.Methods: About 3010 BC survivors (stage I‐III, 5‐16 years post‐diagnosis), and 1005 population controls were recruited in German multi‐regional population‐based studies. Depression was assessed by the Geriatric Depression Scale‐15. Prevalence of mild/severe and severe depression only were estimated via logistic regression, controlling for age and education. Multinomial logistic regression was used to explore determinants of mild and severe depression.Results: Compared with population controls, BC survivors were more likely to report mild/severe depression (30.4% vs 23.8%, p = .0003), adjusted for age and education. At all age groups <80 years, prevalence of both mild/severe and severe depression only was significantly higher in BC survivors, while BC survivors ≥80 years reported severe depression less frequently than controls. BC survivors with recurrence reported significantly higher prevalence of mild/severe depression than disease‐free survivors and controls, but prevalence in disease‐free survivors and controls was comparable. Age, income, living independently, recurrence, and BMI were significant determinants of mild depression in BC survivors. Age, education, employment, income, recurrence, and BMI were significant determinants of severe depression.Conclusions: Long‐term BC survivors <80 years report significantly higher prevalence of depressive symptoms than controls, which might be explained by recurrence and individual factors. The findings suggest that depression in BC survivors is common, and even more after BC recurrence. Clinicians should routinize screening and normalize referral to psychological care.

Background: Diabetes increases the risk of certain types of cancer. However, the literature regarding the incidence of diabetes after cancer diagnosis is inconsistent. We aimed to assess whether there was a higher incidence of diabetes among cancer patients by performing a systematic review and meta-analysis of results from cohort studies. Methods: A systematic electronic literature search was carried out from cohort studies regarding the incidence of diabetes in cancer patients, using the databases PubMed (MEDLINE), Embase, Web of Science, and the Cochrane Library. Random-effects meta-analyses were conducted to pool the estimates. Results: A total of 34 articles involving 360,971 cancer patients and 1,819,451 cancer-free controls were included in the meta-analysis. An increased pooled relative risk (RR) of 1.42 (95% confidence interval (CI): 1.30–1.54, I² = 95, τ² = 0.0551, p < 0.01) for diabetes in cancer patients was found compared with the cancer-free population. The highest relative risk was observed in the first year after cancer diagnosis (RR = 2.06; 95% CI 1.63–2.60). Conclusions: New-onset diabetes is positively associated with cancer, but this association varies according to cancer type. More prospective studies with large sample sizes and longer follow-up times are advocated to further examine the association and the underlying mechanisms.

(1) Background: Little is known about the health-related quality of life (HRQoL) in very long-term cancer survivors (VLTCS) 10 and more years post-diagnosis. The objective was to compare cancer survivors’ HRQoL 14–24 years post-diagnosis with that of same-aged non-cancer controls, stratified by age, sex, and disease status (disease-free vs. stage IV, recurrence, metastasis, or second cancer). (2) Methods: We recruited 2704 very long-term survivors of breast, colorectal and prostate cancer, and 1765 controls in German multi-regional population-based studies. The HRQoL was assessed by the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 (EORTC QLQ-C30). Differences in the HRQoL were estimated with multiple regression, controlling for age, sex (where appropriate), and education. (3) Results: The overall global health status/quality of life of VLTCS more than a decade after diagnosis was slightly higher than that of population controls of the same age, but more symptoms and lower functioning were reported. Differences were small but statistically significant. Results differed by age, sex, and disease status. (4) Conclusions: The findings point out the need for a comprehensive survivorship care program in order to monitor and treat potential late and long-term effects after the diagnosis and treatment of cancer. Survivorship care should be risk-adapted to survivors’ needs according to sociodemographic and clinical factors.