It is often assumed that increases in cancer survival reflect true progress against cancer. This is true when these increases are accompanied by decreased burden of disease: Fewer people being diagnosed or dying from cancer (ie, decreased incidence and mortality). But increased survival can also occur even when incidence is increasing and mortality is unchanged. To use trends in cancer burden—incidence and mortality—to illustrate when changes in survival reflect true progress. Using data from 1975 to 2010 collected by the Surveillance, Epidemiology, and End Results Program (incidence, survival) and the National Center for Health Statistics (mortality), we analyzed US trends in five-year relative survival, age-adjusted incidence, and mortality for selected cancers to identify patterns that do and do not reflect progress. Among the nine common cancers examined, survival increased in seven, and changed little or not at all for two. In some cases, increased survival was accompanied by decreased burden of disease, reflecting true progress. For example, from 1975 to 2010, five-year survival for colon cancer patients improved (from 48% to 68%) while cancer burden fell: Fewer cases (incidence decreased from 60 to 41 per 100000) and fewer deaths (mortality decreased from 28 to 16 per 100000), a pattern explained by both increased early detection (with removal of cancer precursors) and more effective treatment. In other cases, however, increased survival did not reflect true progress. In melanoma, kidney, and thyroid cancer, five-year survival increased but incidence increased with no change in mortality. This pattern suggests overdiagnosis from increased early detection, an increase in cancer burden. Changes in survival must be interpreted in the context of incidence and mortality. Increased survival only represents progress when accompanied by a reduction in incidence, mortality, or ideally both.

Background: Improved cancer survival is expected to increase noncancer deaths; however, detailed causes of death have rarely been discussed. Changing landscapes in mortality patterns and noncancer mortality risks in patients with cancer require evaluation.Methods: We identified cancer and noncancer‐related causes of death using data from the 2000‐2016 national cancer registry in Korea (n = 2 707 520), and we characterized the leading causes of death and proportionate mortalities over time. Risks of noncancer deaths relative to the general population were estimated using standardized mortality ratios (SMRs).Results: Of 1 105 607 identified deaths, 87% were due to the primary cancer. Proportionate mortalities of primary cancer among overall deaths remained high in patients with liver (86%) and lung (70%) cancers and in female patients with breast cancer (77%), even 5 to 10 years following diagnosis, whereas proportionate mortalities reduced to ≤50% in patients with stomach (men, 39%; women, 48%), prostate (47%), and female thyroid (27%) cancers. Despite the predominance of index cancer deaths, the proportion of noncancer deaths among all deaths increased over time. There was a 20‐fold increase in cardiovascular disease deaths among patients with cancer from 2000 to 2016, and the risk of suicide among patients with cancer was higher than that among the general population (SMR: 1.68 [95% confidence interval (CI): 1.63‐1.74] in men, SMR: 1.42 [95% CI: 1.33‐1.55] in women).Conclusions: Deaths from primary cancer remain a major concern; however, follow‐up is required for both cancer and noncancer‐related health issues in cancer survivors, especially concerning suicide and cardiovascular deaths.

Purpose Fear of cancer recurrence (FCR) is a common psychological issue in breast cancer (BC) survivors during early survivorship but whether the same is true among long-term survivors has yet to be empirically evaluated. This study investigated FCR level, its associated factors, and impact on quality of life (QoL) in long-term BC survivors. Materials and Methods Participants included women diagnosed with BC between 2004 and 2010 at two tertiary hospitals. Survey was conducted in 2020. The study measured FCR with the Fear of Cancer Recurrence Inventory and other patient-reported outcomes, including depression and cancer-related QoL. Logistic regression was used to identify factors associated with FCR, and structural equation modeling was conducted to explore the impact of FCR on other outcomes. Results Of 333 participants, the mean age at diagnosis was 45.5, and 46% experienced FCR. Age at diagnosis ≤ 45 (adjusted odds ratio [aOR], 2.64; 95% confidence interval [CI], 1.51 to 4.60), shorter time since diagnosis (aOR, 1.75, 95% CI, 1.08 to 2.89), and having a history of recurrence (aOR, 2.56; 95% CI, 1.16 to 5.65) was associated with more FCR. FCR was significantly associated with an increased risk of depression (β=0.471, p < 0.001) and negatively impacted emotional functioning (β=–0.531, p < 0.001). In addition, a higher FCR level may impair overall health-related QoL in long-term BC survivors (β=–0.108, p=0.021).ConclusionTen years after diagnosis, long-term BC survivors still experienced a high level of FCR. Further, the negative impact of FCR on QoL and increased depression risk require an FCR screening and appropriate interventions to enhance long-term BC survivors' QoL.

Purpose: The purpose of this study was to determine the age-standardized incidence rate of ocular melanoma and its subtypes in South Korea from 1999 to 2011. Methods: The national cancer registry in South Korea was reviewed to ascertain all ocular melanoma incidents between 1999 and 2011, which covered the entire South Korean population. Age-standardized incidence rates of ocular melanoma and its subtypes were calculated. Trends in incidence were analyzed by the use of Joinpoint regression. Analyses were stratified by tumor type, sex, age, and year of cancer diagnosis. Results: A total of 464 ocular melanoma cases (227 men [48.9%]) were identified from 1999 to 2011. The age-standardized incidence rate for 1999 to 2011 was 0.60 (95% confidence interval [CI]: 0.55–0.66) per million people. Among ocular melanomas, uveal melanoma had the highest age-standardized incidence rate for 1999 to 2011 (0.42 [95% CI: 0.38–0.47] per million people), followed by conjunctival melanoma (0.12 [95% CI: 0.09–0.14] per million people). The age-standardized incidence rate was higher in 2006 to 2011 than in 1999 to 2005, and increasing incidence trends were observed throughout the study period. Conclusions: Incidence rate of ocular melanoma for 1999 to 2011 is relatively lower in South Korean population than in that reported in white population. Although ocular melanoma is still considered a rare cancer in South Korea, our findings suggest increasing incidence trends. This may warrant future in-depth study.

Objectives In Uganda, infection-related cancers have made the greatest contribution to cancer burden in the past; however, burden from lifestyle-related cancers has increased recently. Using the Kampala Cancer Registry data, we projected incidence of top five cancers, namely, Kaposi sarcoma (KS), cervical, breast and prostate cancer, and non-Hodgkin’s lymphoma (NHL) in Uganda. Design Trend analysis of cancer registry data. Setting Kampala Cancer Registry, Uganda. Main outcome measure Cancer incidence data from 2001 to 2015 were used and projected to 2030. Population data were obtained from the Uganda Bureau of Statistics. Age-standardised incidence rates (ASRs) and their trends over the observed and projected period were calculated. Percentage change in cancer incidence was calculated to determine whether cancer incidence changes were attributable to cancer risk changes or population changes. Results It was projected that the incidence rates of KS and NHL continue to decrease by 22.6% and 37.3%, respectively. The ASR of KS was expected to decline from 29.6 per 100 000 population to 10.4, while ASR of NHL was expected to decrease from 7.6 to 3.2. In contrast, cervical, breast and prostate cancer incidence were projected to increase by 35.3%, 57.7% and 33.4%, respectively. The ASRs of cervical and breast were projected to increase up to 66.1 and 48.4 per 100 000 women. The ASR of prostate cancer was estimated to increase from 41.6 to 60.5 per 100 000 men. These changes were due to changes in risk factors and population growth. Conclusion Our results suggest a rapid shift in the profile of common cancers in Uganda, reflecting a new trend emerging in low/middle-income countries. This change in cancer spectrum, from infection-related to lifestyle-related, yields another challenge to cancer control programmes in resource-limited countries. Forthcoming cancer control programmes should include a substantial focus on lifestyle-related cancers, while infectious disease control programmes should be maintained.