Historical redlining and breast cancer treatment and survival among older women in the United States

Cancer statistics for African American and Black people, 2025

African American and other Black individuals (referred to as Black people in this article) have a disproportionate cancer burden, including the lowest survival of any racial or ethnic group for most cancers. Every 3 years, the American Cancer Society estimates the number of new cancer cases and deaths for Black people in the United States and compiles the most recent data on cancer incidence (herein through 2021), mortality (through 2022), survival, screening, and risk factors using population-based data from the National Cancer Institute and the Centers for Disease Control and Prevention. In 2025, there will be approximately 248,470 new cancer cases and 73,240 cancer deaths among Black people in the United States. Black men have experienced the largest relative decline in cancer mortality from 1991 to 2022 overall (49%) and in almost every 10-year age group, by as much as 65%-67% in the group aged 40-59 years. This progress largely reflects historical reductions in smoking initiation among Black teens, advances in treatment, and earlier detections for some cancers. Nevertheless, during the most recent 5 years, Black men had 16% higher mortality than White men despite just 4% higher incidence, and Black women had 10% higher mortality than White women despite 9% lower incidence. Larger inequalities for mortality than for incidence reflect two-fold higher death rates for prostate, uterine corpus, and stomach cancers and for myeloma, and 40%-50% higher rates for colorectal, breast, cervical, and liver cancers. The causes of ongoing disparities are multifactorial, but largely stem from inequalities in the social determinants of health that trace back to structural racism. Increasing diversity in clinical trials, enhancing provider education, and implementing financial incentives to ensure equitable care across the cancer care continuum would help close these gaps.

Characterizing the Impact of Race and Contemporary Redlining on Receipt of Guideline-Concordant Locoregional Therapy Among Older Women With Breast Cancer

Purpose

Improving locoregional control for breast cancer (BC) results in better overall survival. Contemporary redlining is associated with worse BC survival in older patients. Self-reported race is associated with survival, redlining, and access to care. We aim to examine the relationship between race, redlining, and the receipt of guideline-concordant locoregional therapy (LRT) in older women with BC.

Methods and Materials

Women aged 66 to 90 years with stage I to III BC diagnosed in 2010 to 2017 with known metropolitan statistical area were identified in Surveillance, Epidemiology, and End Results-Medicare. Redlining was estimated using Home Mortgage Disclosure Act data. Guideline-concordant LRT was assessed based on receipt of surgery and appropriate adjuvant radiation treatment. A logistic regression model was fitted to examine the relationship between redlining and receipt of guideline-concordant LRT, accounting for covariates. Cluster bootstrap at the MSA-level was used.

Results

The cohort included 64,987 women: 31% aged 66 to 70, 82% non-Hispanic (NH) White, 12% with dual Medicaid/Medicare enrollment. Ninety-four percent underwent surgical resection; 84% received guideline compliant LRT. NH Black race was associated with lower receipt of guideline-concordant LRT compared to NH White (odds ratio [OR], 0.78; 95% CI, 0.71-0.84). No significant differences were noted between NH White and NH Asian or Hispanic women. Residing in high-redlining areas was associated with lower odds of receiving guideline-concordant LRT compared to low-redlining areas (OR, 0.89; 95% CI, 0.82-0.95, P = .002).

Conclusions

In this cohort of older women with BC, NH Black race and redlining, even after adjusting for several important clinical and demographic factors, were associated with a lower likelihood of receiving guideline-concordant LRT. This finding demonstrates the profound impact of interpersonal racism and redlining on receipt of cancer-directed therapies and highlights the need for further work to combat systemic inequities and interpersonal racism.

Historical redlining and clustering of present-day breast cancer factors

PURPOSE

Historical redlining, a 1930s-era form of residential segregation and proxy of structural racism, has been associated with breast cancer risk, stage, and survival, but research is lacking on how known present-day breast cancer risk factors are related to historical redlining. We aimed to describe the clustering of present-day neighborhood-level breast cancer risk factors with historical redlining and evaluate geographic patterning across the US.

METHODS

This ecologic study included US neighborhoods (census tracts) with Home Owners' Loan Corporation (HOLC) grades, defined as having a score in the Historic Redlining Score dataset; 2019 Population Level Analysis and Community EStimates (PLACES) data; and 2014-2016 Environmental Justice Index (EJI) data. Neighborhoods were defined as redlined if score ≥ 2.5. Prevalence quintiles of established adverse and protective breast cancer factors relating to behavior, environment, and socioeconomic status (SES) were used to classify neighborhoods as high-risk or not. Factor analysis grouped factors into domains. Overall and domain-specific scores were calculated for each neighborhood according to historical redlining status. Percent difference in score by historical redlining was used to assess differences in average scores, with Wilcoxon-Mann-Whitney test used to estimate significance. Kappa statistic was used to estimate concordance between historical redlining status and high-risk status. Heatmaps of scores were created to compare spatial clustering of high-risk factors to historical redlining.

RESULTS

We identified two domains: (1) behavior + SES; (2) healthcare. Across the US, redlined neighborhoods had significantly more breast cancer factors than non-redlined (redlined neighborhoods = 5.41 average high-risk factors vs. non-redlined = 3.55 average high-risk factors; p < 0.0001). Domain-specific results were similar (percent difference for redlined vs. non-redlined: 39.1% higher for behavior + SES scale; 23.1% higher for healthcare scale). High-scoring neighborhoods tended to spatially overlap with D-grades, with heterogeneity by scale and region.

CONCLUSION

Breast cancer risk factors clustered together more in historically redlined neighborhoods compared to non-redlined neighborhoods. Our findings suggest there are regional differences for which breast cancer factors cluster by historical redlining, therefore interventions aimed at redlining-based cancer disparities need to be tailored to the community.

A systematic review of historic neighborhood redlining and contemporary health outcomes

OBJECTIVES

Historic redlining grades that were assigned to US neighborhoods based largely on minority race or ethnicity by the Home Owners Loan Corporation (HOLC) during the 1930s have been linked with adverse health outcomes among neighborhood residents. This review aimed to summarize the quantitative evidence, so we could determine if any findings are replicated and otherwise identify research gaps.

STUDY DESIGN

Systematic review.

METHODS

We conducted a systematic review by searching the PubMed® MEDLINE database for observational studies that reported on health outcomes among people who resided in neighborhoods that were assigned HOLC grades. We assessed quality by allocating points based on whether studies reported the sample size or count of people affected by outcomes (yes = 1 point, no = 2 points), and whether unadjusted magnitudes of association were reported alongside adjusted estimates (yes = 1 point, no = 2 points). The sum score was used to classify each study as high (2 points), average (3 points) or low quality (4 points).

RESULTS

Among the 89 articles identified, 32 met inclusion criteria; 15 were deemed high-quality. The most frequently studied health conditions in order of descending frequency were: i) injury or violence (n = 8), ii) cancer (n = 7), iii) cardiometabolic (n = 6), iv) perinatal (n = 5), v) asthma (n = 2).

CONCLUSION

People who lived in areas with less desirable HOLC grades tended to suffer higher than expected rates of injury or violence, asthma, adverse pregnancy outcomes, and some cardiometabolic disorders; associations with cancer were mostly null. Methodological differences limited opportunities for direct comparison across studies, and there was significant heterogeneity among the few estimates that were generally comparable. While robust data are lacking, the limited existing evidence supports a possible association between historically redlined areas and heightened risk of adverse health outcomes. Why this association may exist remains unknown.

Cancer statistics, 2025

Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths in the United States and compiles the most recent data on population-based cancer occurrence and outcomes using incidence data collected by central cancer registries (through 2021) and mortality data collected by the National Center for Health Statistics (through 2022). In 2025, 2,041,910 new cancer cases and 618,120 cancer deaths are projected to occur in the United States. The cancer mortality rate continued to decline through 2022, averting nearly 4.5 million deaths since 1991 because of smoking reductions, earlier detection for some cancers, and improved treatment. Yet alarming disparities persist; Native American people bear the highest cancer mortality, including rates that are two to three times those in White people for kidney, liver, stomach, and cervical cancers. Similarly, Black people have two-fold higher mortality than White people for prostate, stomach, and uterine corpus cancers. Overall cancer incidence has generally declined in men but has risen in women, narrowing the male-to-female rate ratio (RR) from a peak of 1.6 (95% confidence interval, 1.57-1.61) in 1992 to 1.1 (95% confidence interval, 1.12-1.12) in 2021. However, rates in women aged 50-64 years have already surpassed those in men (832.5 vs. 830.6 per 100,000), and younger women (younger than 50 years) have an 82% higher incidence rate than their male counterparts (141.1 vs. 77.4 per 100,000), up from 51% in 2002. Notably, lung cancer incidence in women surpassed that in men among people younger than 65 years in 2021 (15.7 vs. 15.4 per 100,000; RR, 0.98, p = 0.03). In summary, cancer mortality continues to decline, but future gains are threatened by rampant racial inequalities and a growing burden of disease in middle-aged and young adults, especially women. Continued progress will require investment in cancer prevention and access to equitable treatment, especially for Native American and Black individuals.

Structural Racism and Treatment Delay Among Black and White Patients With Breast Cancer

PURPOSE

Structural racism (SR) is a potential driver of health disparities, but research quantifying its impacts on cancer outcomes has been limited. We aimed to develop a multidimensional county-level SR measure and to examine the association of SR with breast cancer (BC) treatment delays among Black and White patients.

METHODS

The cohort included 32,095 individuals from the North Carolina Central Cancer Registry with stage I to III BC diagnosed between 2004 and 2017 and linked to multipayer insurance claims from the Cancer Information and Population Health Resource. County-level data were drawn from multiple public sources aggregated in the Robert Wood Johnson County Health Rankings database. Racial gaps in eight social determinants across five domains were quantified at the county level and ranked on a 0-100 minimum-maximum scale. Domain scores were averaged to create a SR Composite Index (SRCI) score. We used multilevel logistic regression with random intercepts and multiple cross-level interaction terms to evaluate the association between county-level SRCI and patient-level treatment delays, adjusting for patient-level characteristics and stratified by race.

RESULTS

The SRCI score ranged from 21 to 75 with a median (IQR) of 39.0 (31.8, 45.7). For Black patients, a 10-unit increase in SRCI score was associated with increased odds of delay (Adjusted odds ratios [aOR], 1.25; 95% confidence limits [CL], 1.08 to 1.45). No such association was found for White patients (OR, 1.05; 95% CL, 0.97 to 1.15).

CONCLUSION

Area-level SR measured by a composite index is associated with higher odds of BC treatment delays among Black, but not White patients. Increasing county-level SR is associated with increasing Black-White disparities in treatment delay. Further research is needed to refine the measurement of SR and to examine its association with other cancer care disparities.

Connecting Past to Present: Does Historical Redlining Affect Current Life Expectancy?

INTRODUCTION

Previous research has documented a strong relationship between currently living in the redlined zones of the 1930s and suffering from a higher prevalence of disease. However, little is known about the relationship between historical redlining, modern-day redlining, and current resident health outcomes. This paper aimed to simultaneously model the associations between both historical redlining and modern-day redlining on current health outcomes.

METHODS

In this paper, we used structural equation modeling to uncover relationships between current and historical redlining practices and modern-day life expectancy, exploring two levels of potential mediating factors: (1) racial segregation and structural racism; and (2) mediating health outcomes. We analyzed data from 11,661 census tracts throughout the United States using historical redlining data from 1940, modern redlining data from 2010 to 2017, racial segregation and structural racism indices from 2010 to 2019, health outcome data from 2021 to 2022, and life expectancy data from 2010 to 2015. Historical redlining was measured using Home Owners' Loan Corporation (HOLC) ratings, which ranged from 1.0 for favorable neighborhoods ("greenlined") to 4.0 for unfavorable ("redlined") neighborhoods. Modern-day redlining was measured using Home Mortgage Disclosure Act (HMDA) data, which were transformed into four quartiles, ranging from level 1 (low mortgage rejection rates) to level 4 (high mortgage rejection rates).

RESULTS

We found a significant relationship between historic redlining and current life expectancy, with average life expectancy decreasing steadily from 80.7 years in HOLC 1 tracts to 75.7 years in HOLC 4 tracts, a differential of 5.0 years between the greenlined and redlined tracts. We also found a significant relationship between modern-day redlining and current life expectancy, with average life expectancy decreasing steadily from 79.9 years in HMDA 1 tracts to 73.5 years in HMDA 4 tracts, a differential of 6.4 years. In the structural equation model, historical redlining had a total effect of decreasing life expectancy by 1.18 years for each increase of one in the HOLC rating. Modern-day redlining had a total effect of decreasing life expectancy by 1.89 years for each increase of one in the HMDA quartile.

CONCLUSION

This paper provides new evidence that the legacy of redlining is not relegated to the history books but rather is a present and pressing public health issue today.

Neighborhood Disadvantage and Prostate Tumor Aggressiveness among African American and European American Men

BACKGROUND

Studies have identified associations between neighborhood disadvantage (ND), which is more likely to affect African American (AA) individuals, and aggressive prostate cancer. Thus, ND may contribute to prostate cancer disparities. However, it is unknown what ND components drive aggressive disease and whether associations vary by race.

METHODS

We evaluated associations between aggressive prostate cancer and four ND metrics-Area Deprivation Index (ADI), validated Bayesian Neighborhood Deprivation Index (NDI), racial isolation (RI) index, and historical redlining, and whether these factors interacted with race, among men with prostate cancer treated at the University of Maryland Greenebaum Comprehensive Cancer Center (2004-2021).

RESULTS

We included 1,458 men (698 European American and 760 AA). AA men were more likely to experience ND. In adjusted models, the ADI, RI, and redlining were significantly associated with aggressive versus nonaggressive prostate cancer overall [ADI, OR for one SD increase = 1.14, 95% confidence interval (CI), 1.00-1.30; RI, OR = 1.27, CI, 1.07-1.51; redlining, OR = 1.77; CI, 1.23-2.56] and among AA men. The NDI was associated with aggressive prostate cancer among AA men (OR = 1.32, 95% credible interval: 1.13-1.57); percent in poverty received the largest importance weight. The ADI (P heterogeneity = 0.002) and NDI (exceedance probability heterogeneity = 98.1%) significantly interacted with race, such that associations were significantly stronger for AA men.

CONCLUSIONS

We identified novel significant positive associations for racial segregation and historical redlining with aggressive prostate cancer and significant interactions between ND indices and race.

IMPACT

Findings inform specific ND components that are associated with aggressive prostate cancer and suggest the ND effect is stronger for AA men, which has implications for interventions to reduce disparities.

Neighborhood Disadvantage and Prostate Tumor RNA Expression of Stress-Related Genes

Importance

African American men experience greater prostate cancer incidence and mortality than White men. Growing literature supports associations of neighborhood disadvantage, which disproportionately affects African American men, with aggressive prostate cancer; chronic stress and downstream biological impacts (eg, increased inflammation) may contribute to these associations.

Objective

To examine whether several neighborhood disadvantage metrics are associated with prostate tumor RNA expression of stress-related genes.

Design, Setting, and Participants

This cross-sectional study leveraged prostate tumor transcriptomic data for African American and White men with prostate cancer who received radical prostatectomy at the University of Maryland Medical Center between August 1992 and January 2021. Data were analyzed from May 2023 to April 2024.

Exposures

Using addresses at diagnosis, 2 neighborhood deprivation metrics (Area Deprivation Index [ADI] and validated bayesian Neighborhood Deprivation Index) as well as the Racial Isolation Index (RI) and historical redlining were applied to participants' addresses. Self-reported race was determined using electronic medical records.

Main Outcomes and Measures

A total of 105 stress-related genes were evaluated with each neighborhood metric using linear regression, adjusting for race, age, and year of surgery. Genes in the Conserved Transcriptional Response to Adversity (CTRA) and stress-related signaling genes were included.

Results

A total of 218 men (168 [77%] African American, 50 [23%] White) with a median (IQR) age of 58 (53-63) years were included. African American participants experienced greater neighborhood disadvantage than White participants (median [IQR] ADI, 115 [100-130] vs 92 [83-104]; median [IQR] RI, 0.68 [0.34-0.87] vs 0.11 [0.06-0.14]). ADI was positively associated with expression for 11 genes; HTR6 (serotonin pathway) remained significant after multiple-comparison adjustment (β = 0.003; SE, 0.001; P < .001; Benjamini-Hochberg q value = .01). Several genes, including HTR6, were associated with multiple metrics. We observed higher expression of 5 proinflammatory genes in the CTRA with greater neighborhood disadvantage (eg, CXCL8 and ADI, β = 0.008; SE, 0.003; P = .01; q value = .21).

Conclusions and Relevance

In this cross-sectional study, the expression of several stress-related genes in prostate tumors was higher among men residing in disadvantaged neighborhoods. This study is one of the first to suggest associations of neighborhood disadvantage with prostate tumor RNA expression. Additional research is needed in larger studies to replicate findings and further investigate interrelationships of neighborhood factors, tumor biology, and aggressive prostate cancer to inform interventions to reduce disparities.

Residential Redlining, Neighborhood Trajectory, and Equity of Breast and Colorectal Cancer Care

OBJECTIVE

To determine the influence of structural racism, vis-à-vis neighborhood socioeconomic trajectory, on colorectal and breast cancer diagnosis and treatment.

BACKGROUND

Inequities in cancer care are well-documented in the United States but less is understood about how historical policies like residential redlining and evolving neighborhood characteristics influence current gaps in care.

METHODS

This retrospective cohort study included adult patients diagnosed with colorectal or breast cancer between 2010 and 2015 in 7 Indiana cities with available historic redlining data. Current neighborhood socioeconomic status was determined by the Area Deprivation Index. Based on historic redlining maps and the current Area Deprivation Index, we created 4 "neighborhood trajectory" categories: advantage stable, advantage reduced, disadvantage stable, and disadvantage reduced. Modified Poisson regression models estimated the relative risks (RRs) of neighborhood trajectory on cancer stage at diagnosis and receipt of cancer-directed surgery (CDS).

RESULTS

A final cohort derivation identified 4862 cancer patients with colorectal or breast cancer. Compared with "advantage stable" neighborhoods, "disadvantage stable" neighborhood was associated with a late-stage diagnosis for both colorectal and breast cancer [RR = 1.30 (95% CI: 1.05-1.59); RR = 1.41 (1.09-1.83), respectively]. Black patients had a lower likelihood of receiving CDS in "disadvantage reduced" neighborhoods [RR = 0.92 (0.86-0.99)] than White patients.

CONCLUSIONS

Disadvantage stable neighborhoods were associated with late-stage diagnoses of breast and colorectal cancer. "Disadvantage reduced" (gentrified) neighborhoods were associated with racial inequity in CDS. Improved neighborhood socioeconomic conditions may improve timely diagnosis but could contribute to racial inequities in surgical treatment.

Disparities in Cardiovascular Disease-Related Outcomes Among Cancer Survivors in the United States: A Systematic Review of the Literature

BACKGROUND

Cancer and cardiovascular disease (CVD) are major causes of morbidity and mortality in the United States (US). Cancer survivors have increased risks for CVD and CVD-related mortality due to multiple factors including cancer treatment-related cardiotoxicity. Disparities are rooted in differential exposure to risk factors and social determinants of health (SDOH), including systemic racism. This review aimed to assess SDOH's role in disparities, document CVD-related disparities among US cancer survivors, and identify literature gaps for future research.

METHODS

Following the Peer Review of Electronic Search Strategies (PRESS) guidelines, MEDLINE, PsycINFO, and Scopus were searched on March 15, 2021, with an update conducted on September 26, 2023. Articles screening was performed using the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) 2020, a pre-defined Population, Exposure, Comparison, Outcomes, and Settings (PECOS) framework, and the Rayyan platform. A modified version of the Newcastle-Ottawa Scale was used to assess the risk of bias, and RAW Graphs for alluvial charts. This review is registered with PROSPERO under ID #CRD42021236460.

RESULTS

Out of 7,719 retrieved articles, 24 were included, and discussed diverse SDOH that contribute to CVD-related disparities among cancer survivors. The 24 included studies had a large combined total sample size (n=7,704,645; median=19,707). While various disparities have been investigated, including rural-urban, sex, socioeconomic status, and age, a notable observation is that non-Hispanic Black cancer survivors experience disproportionately adverse CVD outcomes when compared to non-Hispanic White survivors. This underscores historical racism and discrimination against non-Hispanic Black individuals as fundamental drivers of CVD-related disparities.

CONCLUSIONS

Stakeholders should work to eliminate the root causes of disparities. Clinicians should increase screening for risk factors that exacerbate CVD-related disparities among cancer survivors. Researchers should prioritise the investigation of systemic factors driving disparities in cancer and CVD and develop innovative interventions to mitigate risk in cancer survivors.

Historic redlining and health outcomes: A systematic review

OBJECTIVE

The purpose of this systematic review was to synthesize the existing literature on the associations between historic redlining and modern-day health outcomes across the lifespan.

METHOD

This review searched PubMed and CINAHL for peer-reviewed, data-based articles examining the relationship between historic redlining and any health outcome. Articles were appraised using the JBI critical appraisal checklist. The results were synthesized using a narrative summary approach.

RESULTS

Thirty-six articles were included and focused on various health outcomes, including cardiovascular outcomes, breast cancer incidence and mortality, firearm injury or death, birth-related outcomes, and asthma outcomes. Most of the included articles (n = 31; 86%) found significant associations between historic redlining and adverse health outcomes such as increased cardiovascular disease, higher rates of preterm births, increased cancer incidence, reduced survival time after breast cancer diagnosis, and increased firearm injury incidence.

DISCUSSION

This review demonstrates the persistent effect of historic redlining on individuals' health. Public health nurses should recognize redlining as a form of structural racism when caring for affected communities and should advocate for policies and programs that advance health equity. Nurse researchers should develop and test multilevel interventions to address systemic racism and improve health outcomes in communities affected by redlining.

Historical Redlining, Persistent Mortgage Discrimination, and Race in Breast Cancer Outcomes

Importance

Inequities created by historical and contemporary mortgage discriminatory policies have implications for health disparities. The role of persistent mortgage discrimination (PMD) in breast cancer (BC) outcomes has not been studied.

Objective

To estimate the race-specific association of historical redlining (HRL) with the development of BC subtypes and late-stage disease and a novel measure of PMD in BC mortality.

Design, Setting, and Participants

This population-based cohort study used Georgia Cancer Registry data. A total of 1764 non-Hispanic Black and White women with a BC diagnosis and residing in an area graded by the Home Owners' Loan Corporation (HOLC) in Georgia were included. Patients were excluded if they did not have a known subtype or a derived American Joint Committee on Cancer stage or if diagnosed solely by death certificate or autopsy. Participants were diagnosed with a first primary BC between January 1, 2010, to December 31, 2017, and were followed through December 31, 2019. Data were analyzed between May 1, 2022, and August 31, 2023.

Exposures

Scores for HRL were examined dichotomously as less than 2.5 (ie, nonredlined) vs 2.5 or greater (ie, redlined). Contemporary mortgage discrimination (CMD) scores were calculated, and PMD index was created using the combination of HRL and CMD scores.

Main Outcomes and Measures

Estrogen receptor (ER) status, late stage at diagnosis, and BC-specific death.

Results

This study included 1764 women diagnosed with BC within census tracts that were HOLC graded in Georgia. Of these, 856 women (48.5%) were non-Hispanic Black and 908 (51.5%) were non-Hispanic White; 1148 (65.1%) were diagnosed at 55 years or older; 538 (30.5%) resided in tracts with HRL scores less than 2.5; and 1226 (69.5%) resided in tracts with HRL scores 2.5 or greater. Living in HRL areas with HRL scores 2.5 or greater was associated with a 62% increased odds of ER-negative BC among non-Hispanic Black women (odds ratio [OR], 1.62 [95% CI, 1.01-2.60]), a 97% increased odds of late-stage diagnosis among non-Hispanic White women (OR, 1.97 [95% CI, 1.15-3.36]), and a 60% increase in BC mortality overall (hazard ratio, 1.60 [95% CI, 1.17-2.18]). Similarly, PMD was associated with BC mortality among non-Hispanic White women but not among non-Hispanic Black women.

Conclusions and Relevance

The findings of this cohort study suggest that historical racist policies and persistent discrimination have modern-day implications for BC outcomes that differ by race. These findings emphasize the need for a more nuanced investigation of the social and structural drivers of disparate BC outcomes.

Cancer statistics, 2024

Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths in the United States and compiles the most recent data on population-based cancer occurrence and outcomes using incidence data collected by central cancer registries (through 2020) and mortality data collected by the National Center for Health Statistics (through 2021). In 2024, 2,001,140 new cancer cases and 611,720 cancer deaths are projected to occur in the United States. Cancer mortality continued to decline through 2021, averting over 4 million deaths since 1991 because of reductions in smoking, earlier detection for some cancers, and improved treatment options in both the adjuvant and metastatic settings. However, these gains are threatened by increasing incidence for 6 of the top 10 cancers. Incidence rates increased during 2015-2019 by 0.6%-1% annually for breast, pancreas, and uterine corpus cancers and by 2%-3% annually for prostate, liver (female), kidney, and human papillomavirus-associated oral cancers and for melanoma. Incidence rates also increased by 1%-2% annually for cervical (ages 30-44 years) and colorectal cancers (ages <55 years) in young adults. Colorectal cancer was the fourth-leading cause of cancer death in both men and women younger than 50 years in the late-1990s but is now first in men and second in women. Progress is also hampered by wide persistent cancer disparities; compared to White people, mortality rates are two-fold higher for prostate, stomach and uterine corpus cancers in Black people and for liver, stomach, and kidney cancers in Native American people. Continued national progress will require increased investment in cancer prevention and access to equitable treatment, especially among American Indian and Alaska Native and Black individuals.

Health Care Policy and Disparities in Health

ABSTRACT

The United States has seen a 33% decline in age-adjusted cancer mortality since 1991. Despite this achievement, the United States has some of the greatest health disparities of any developed nation. US government policies are increasingly directed toward reducing health disparities and promoting health equity. These policies govern the conduct of research, cancer prevention, access, and payment for care. Although implementation of policies has played a significant role in the successes of cancer control, inconsistent implementation of policy has resulted in divergent outcomes; poorly designed or inadequately implemented policies have hindered progress in reducing cancer death rates and, in certain cases, exacerbated existing disparities. Examining policies affecting cancer control in the United States and realizing their unintended consequences are crucial in addressing cancer inequities.