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This study aims to quantify Black-White inequities in cardiovascular disease (CVD) mortality among US survivors of 18 adult-onset cancers and the extent to which these inequities are explained by differences in socio-economic and clinical factors.Survivors of cancers diagnosed at ages 20-64 years during 2007-16 were identified from 17 Surveillance, Epidemiology and End Results registries. Associations between race and CVD mortality were examined using proportional hazards models. Mediation analyses were performed to quantify the contributions of potential mediators, including socio-economic [health insurance, neighbourhood socio-economic status (nSES), rurality] and clinical (stage, surgery, chemotherapy, radiotherapy) factors.Among 904 995 survivors, 10 701 CVD deaths occurred (median follow-up, 43 months). Black survivors were more likely than White survivors to die from CVD for all 18 cancers with hazard ratios ranging from 1.30 (95% CI = 1.15-1.47) for lung cancer to 4.04 for brain cancer (95% CI = 2.79-5.83). The total percentage mediations (indirect effects) ranged from 24.8% for brain (95% CI=-5.2-59.6%) to 99.8% for lung (95% CI = 61.0-167%) cancers. Neighbourhood SES was identified as the strongest mediator for 14 cancers with percentage mediations varying from 25.0% for kidney cancer (95% CI = 14.1-36.3%) to 63.5% for lung cancer (95% CI = 36.5-108.7%). Insurance ranked second for 12 cancers with percentage mediations ranging from 12.3% for leukaemia (95% CI = 0.7-46.7%) to 31.3% for thyroid cancer (95% CI = 10.4-82.7%).Insurance and nSES explained substantial proportions of the excess CVD mortality among Black survivors. Mitigating the effects of unequal access to care and differing opportunities for healthy living among neighbourhoods could substantially reduce racial inequities in CVD mortality among cancer survivors.

Divergent trends of breast cancer incidence by subtype have been reported in the United States and elsewhere; however, it remains unknown whether this trend has continued until the era of the COVID‐19 pandemic. Using high‐quality population‐based cancer registry data, representing 83% of the US population, this study examined breast cancer incidence rates by estrogen receptor (ER) status in women aged 20–84 years from 2004 to 2020. The incidence rate of ER‐positive cancer increased by 1.75% per year from 2004 to 2009 (95% confidence interval [CI] = 1.26%–3.15%) and has slowed to a 0.87% annual increase (95% CI = 0.41%–1.03%) from 2009 to 2019, followed by a 10.2% reduction from 2019 to 2020. Trends were generally similar across race and ethnicity, although young women (20–49 years), Asian or Pacific Islander, and Hispanic women experienced steady increases until 2019. The incidence rate of ER‐negative cancer decreased by 3.13% annually (95% CI = −4.2% to −2.55%) from 2004 to 2012, and the decrease stabilized from 2012 to 2019 (annual percent change: 0.55%; 95% CI = −1.30% to 0.92%), followed by a 6.0% reduction from 2019 to 2020, with trends generally consistent by age and across racial and ethnic groups. The stabilization of the steep decline in ER‐negative cancer suggests a departure from the encouraging trajectories projected in earlier studies. Coupled with the deceleration in the rise of ER‐positive cancer, the latest trend signals a potential stabilization in the previous rise of the proportional burden of ER‐positive cancer. Understanding the impact of the pandemic on each subtype of breast cancer individually may provide a more comprehensive insight into its long‐term sequelae on survival and mortality. [ABSTRACT FROM AUTHOR]

This article presents global cancer statistics by world region for the year 2022 based on updated estimates from the International Agency for Research on Cancer (IARC). There were close to 20 million new cases of cancer in the year 2022 (including nonmelanoma skin cancers [NMSCs]) alongside 9.7 million deaths from cancer (including NMSC). The estimates suggest that approximately one in five men or women develop cancer in a lifetime, whereas around one in nine men and one in 12 women die from it. Lung cancer was the most frequently diagnosed cancer in 2022, responsible for almost 2.5 million new cases, or one in eight cancers worldwide (12.4% of all cancers globally), followed by cancers of the female breast (11.6%), colorectum (9.6%), prostate (7.3%), and stomach (4.9%). Lung cancer was also the leading cause of cancer death, with an estimated 1.8 million deaths (18.7%), followed by colorectal (9.3%), liver (7.8%), female breast (6.9%), and stomach (6.8%) cancers. Breast cancer and lung cancer were the most frequent cancers in women and men, respectively (both cases and deaths). Incidence rates (including NMSC) varied from four‐fold to five‐fold across world regions, from over 500 in Australia/New Zealand (507.9 per 100,000) to under 100 in Western Africa (97.1 per 100,000) among men, and from over 400 in Australia/New Zealand (410.5 per 100,000) to close to 100 in South‐Central Asia (103.3 per 100,000) among women. The authors examine the geographic variability across 20 world regions for the 10 leading cancer types, discussing recent trends, the underlying determinants, and the prospects for global cancer prevention and control. With demographics‐based predictions indicating that the number of new cases of cancer will reach 35 million by 2050, investments in prevention, including the targeting of key risk factors for cancer (including smoking, overweight and obesity, and infection), could avert millions of future cancer diagnoses and save many lives worldwide, bringing huge economic as well as societal dividends to countries over the forthcoming decades. [ABSTRACT FROM AUTHOR]

The coronavirus disease 2019 (COVID‐19) pandemic led to health care disruptions and declines in cancer diagnoses in the United States. However, the impact of the pandemic on cancer incidence rates by stage at diagnosis and race and ethnicity is unknown. This cross‐sectional study calculated delay‐ and age‐adjusted incidence rates, stratified by stage at diagnosis and race and ethnicity, and rate ratios (RRs) comparing changes in year‐over‐year incidence rates (eg, 2020 vs 2019) from 2016 to 2020 for 22 cancer types based on data obtained from the Surveillance, Epidemiology, and End Results 22‐registry database. From 2019 to 2020, the incidence of local‐stage disease statistically significantly declined for 19 of the 22 cancer types, ranging from 4% (RR = 0.96; 95%CI, 0.93‐0.98) for urinary bladder cancer to 18% for colorectal (RR = 0.82; 95%CI, 0.81‐0.84) and laryngeal (RR = 0.82; 95%CI, 0.78‐0.88) cancers, deviating from pre‐COVID stable year‐over‐year changes. Incidence during the corresponding period also declined for 16 cancer types for regional‐stage and six cancer types for distant‐stage disease. By race and ethnicity, the decline in local‐stage incidence for screening‐detectable cancers was generally greater in historically marginalized populations. The decline in cancer incidence rates during the first year of the COVID‐19 pandemic occurred mainly for local‐ and regional‐stage diseases across racial and ethnic groups. Whether these declines will lead to increases in advanced‐stage disease and mortality rates remain to be investigated with additional data years. Nevertheless, the findings reinforce the importance of strengthening the return to preventive care campaigns and outreach for detecting cancers at early and more treatable stages. [ABSTRACT FROM AUTHOR]

Background This study aims to quantify Black–White inequities in cardiovascular disease (CVD) mortality among US survivors of 18 adult-onset cancers and the extent to which these inequities are explained by differences in socio-economic and clinical factors. Methods Survivors of cancers diagnosed at ages 20–64 years during 2007–16 were identified from 17 Surveillance, Epidemiology and End Results registries. Associations between race and CVD mortality were examined using proportional hazards models. Mediation analyses were performed to quantify the contributions of potential mediators, including socio-economic [health insurance, neighbourhood socio-economic status (nSES), rurality] and clinical (stage, surgery, chemotherapy, radiotherapy) factors. Results Among 904 995 survivors, 10 701 CVD deaths occurred (median follow-up, 43 months). Black survivors were more likely than White survivors to die from CVD for all 18 cancers with hazard ratios ranging from 1.30 (95% CI = 1.15–1.47) for lung cancer to 4.04 for brain cancer (95% CI = 2.79–5.83). The total percentage mediations (indirect effects) ranged from 24.8% for brain (95% CI=–5.2–59.6%) to 99.8% for lung (95% CI = 61.0–167%) cancers. Neighbourhood SES was identified as the strongest mediator for 14 cancers with percentage mediations varying from 25.0% for kidney cancer (95% CI = 14.1–36.3%) to 63.5% for lung cancer (95% CI = 36.5–108.7%). Insurance ranked second for 12 cancers with percentage mediations ranging from 12.3% for leukaemia (95% CI = 0.7–46.7%) to 31.3% for thyroid cancer (95% CI = 10.4–82.7%). Conclusions Insurance and nSES explained substantial proportions of the excess CVD mortality among Black survivors. Mitigating the effects of unequal access to care and differing opportunities for healthy living among neighbourhoods could substantially reduce racial inequities in CVD mortality among cancer survivors. [ABSTRACT FROM AUTHOR]

Background: With access to cancer care services limited because of coronavirus disease 2019 control measures, cancer diagnosis and treatment have been delayed. The authors explored changes in the counts of US incident cases by cancer type, age, sex, race, and disease stage in 2020. Methods: Data were extracted from selected US population‐based cancer registries for diagnosis years 2015–2020 using first‐submission data from the North American Association of Central Cancer Registries. After a quality assessment, the monthly numbers of newly diagnosed cancer cases were extracted for six cancer types: colorectal, female breast, lung, pancreas, prostate, and thyroid. The observed numbers of incident cancer cases in 2020 were compared with the estimated numbers by calculating observed‐to‐expected (O/E) ratios. The expected numbers of incident cases were extrapolated using Joinpoint trend models. Results: The authors report an O/E ratio <1.0 for major screening‐eligible cancer sites, indicating fewer newly diagnosed cases than expected in 2020. The O/E ratios were lowest in April 2020. For every cancer site except pancreas, Asians/Pacific Islanders had the lowest O/E ratio of any race group. O/E ratios were lower for cases diagnosed at localized stages than for cases diagnosed at advanced stages. Conclusions: The current analysis provides strong evidence for declines in cancer diagnoses, relative to the expected numbers, between March and May of 2020. The declines correlate with reductions in pathology reports and are greater for cases diagnosed at in situ and localized stage, triggering concerns about potential poor cancer outcomes in the coming years, especially in Asians/Pacific Islanders. Plain Language Summary: To help control the spread of coronavirus disease 2019 (COVID‐19), health care organizations suspended nonessential medical procedures, including preventive cancer screening, during early 2020.Many individuals canceled or postponed cancer screening, potentially delaying cancer diagnosis.This study examines the impact of the COVID‐19 pandemic on the number of newly diagnosed cancer cases in 2020 using first‐submission, population‐based cancer registry database.The monthly numbers of newly diagnosed cancer cases in 2020 were compared with the expected numbers based on past trends for six cancer sites.April 2020 had the sharpest decrease in cases compared with previous years, most likely because of the COVID‐19 pandemic. This analysis provides strong evidence for sharp declines in the numbers of new cancer cases diagnosed between March and May of 2020. The declines are correlated with reductions in pathology reports and are more substantial for cases diagnosed at in situ and localized stage, triggering concerns for potential poor cancer outcomes in certain demographic subgroups in the coming years. [ABSTRACT FROM AUTHOR]