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Simple Summary: The COVID-19 pandemic may have impacted cancer mortality rates by disrupting patient health behaviors and access to cancer care, as well as being directly affected by infection with SARS-CoV-2. There is limited population-based research that investigates the impact of the COVID-19 pandemic on cancer mortality in the United States. The aim of our retrospective study was to quantify the change in cancer mortality from before the COVID-19 pandemic to during the COVID-19 pandemic in Pennsylvania. We found that mortality rates did not continue their previous downward trajectory and twenty-six counties had an increase in the rate in 2020. The 2015–2019 rates were positively associated with the 2020 rates, and the impact of sociodemographic and geographic factors on the 2020 rates varied by county. Our findings suggest a negative effect of the pandemic on cancer mortality in Pennsylvania and had a varied effect on its counties. Future research could confirm our findings, and if confirmed, may inform cancer research, care, and outreach. Background. We sought to quantify the impact of the COVID-19 pandemic on cancer mortality and identify associated factors in Pennsylvania. Methods. The retrospective study analyzed cross-sectional cancer mortality data from CDC WONDER for 2015 through 2020 for Pennsylvania and its 67 counties. The spatial distributions of 2019, 2020, and percentage change in age-adjusted mortality rates by county were analyzed via choropleth maps and spatial autocorrelation. A Wilcoxon Signed Rank Test was used to analyze whether the rates differed between 2019 and 2020. Quasi-Poisson and geographically weighted regression at the county level were used to assess the association between the 2019 rates, sex (percent female), race (percent non-White), ethnicity (percent Hispanic/Latino), rural–urban continuum codes, and socioeconomic status with the 2020 rates. Results. At the state level, the rate in 2020 did not reflect the declining annual trend (−2.7 per 100,000) in the rate since 2015. Twenty-six counties had an increase in the rate in 2020. Of the factors examined, the 2019 rates were positively associated with the 2020 rates, and the impact of sociodemographic and geographic factors on the 2020 rates varied by county. Conclusions. In Pennsylvania, the 2020 cancer mortality rates did not decline as much as reported before the COVID-19 pandemic. The top five cancer types by rate were the same type for 2019 and 2020. Future cancer control efforts may need to address the impact of the COVID-19 pandemic on trends and geospatial distribution in cancer mortality. [ABSTRACT FROM AUTHOR]

Simple Summary: We analyzed the long-term mortality trends and their Age-Period-cohort effects for overall cancer and its 10 sub-types in China. The results show that the overall cancer ASMR has declined, but the absolute cancer cases kept increasing due to the growing elderly population, with the death rates for almost all types of cancer among older Chinese continued to rise during the past three decades. The birth cohort RRs peaked in 1920–1930 and tended to decline in successive cohorts for most cancers except for leukemia, lung cancer in rural, and breast and cervical cancer in females, whose relative risks were rising in the very recent cohorts. The rising mortality related to lung, colorectal, breast and cervical cancer and the increasing burden of cancer death in rural areas should receive higher priority in managing cancer burden and calls for targeted public health actions to reverse the trend. Background: China has the highest number of new cancer cases and deaths worldwide, posing huge health and economic burdens to society and affected families. This study comprehensively analyzed secular trends of national cancer mortality statistics to inform future prevention and intervention programs in China. Methods: The annual estimate of overall cancer mortality and its major subtypes were derived from the National Health Commission (NHC). Joinpoint analysis was used to detect changes in trends, and we used age-period-cohort modeling to estimate cohort and period effects in Cancers between 1987 and 2020. Net drift (overall annual percentage change), local drift (annual percentage change in each age group), longitudinal age curves (expected longitudinal age-specific rate), and period (cohort) relative risks were calculated. Results: The age-standardized cancer mortality in urban China has shown a steady downward trend but has not decreased significantly in rural areas. Almost all cancer deaths in urban areas have shown a downward trend, except for colorectal cancer in men. Decreasing mortality from cancers in rural of the stomach, esophagus, liver, leukemia, and nasopharynx was observed, while lung, colorectal cancer female breast, and cervical cancer mortality increased. Birth cohort risks peaked in the cohorts born around 1920–1930 and tended to decline in successive cohorts for most cancers except for leukemia, lung cancer in rural, and breast and cervical cancer in females, whose relative risks were rising in the very recent cohorts. In addition, mortality rates for almost all types of cancer in older Chinese show an upward trend. Conclusions: Although the age-standardized overall cancer mortality rate has declined, and the urban-rural gap narrowed, the absolute cancer cases kept increasing due to the growing elderly population in China. The rising mortality related to lung, colorectal, female breast, and cervical cancer should receive higher priority in managing cancer burden and calls for targeted public health actions to reverse the trend. [ABSTRACT FROM AUTHOR]