On February 2, 2022, President Biden and First Lady Dr. Biden reignited the Cancer Moonshot, setting a new goal to reduce age-standardized cancer mortality rates by at least 50% over the next 25 years in the United States. We estimated trends in U.S. cancer mortality during 2000 to 2019 for all cancers and the six leading types (lung, colorectum, pancreas, breast, prostate, liver). Cancer death rates overall declined by 1.4% per year from 2000 to 2015, accelerating to 2.3% per year during 2016 to 2019, driven by strong declines in lung cancer mortality (−4.7%/year, 2014 to 2019). Recent declines in colorectal (−2.0%/year, 2010–2019) and breast cancer death rates (−1.2%/year, 2013–2019) also contributed. However, trends for other cancer types were less promising. To achieve the Moonshot goal, progress against lung, colorectal, and breast cancer deaths needs to be maintained and/or accelerated, and new strategies for prostate, liver, pancreatic, and other cancers are needed. We reviewed opportunities to prevent, detect, and treat these common cancers that could further reduce population-level cancer death rates and also reduce disparities.

Significance:

We reviewed opportunities to prevent, detect, and treat common cancers, and show that to achieve the Moonshot goal, progress against lung, colorectal, and breast cancer deaths needs to be maintained and/or accelerated, and new strategies for prostate, liver, pancreatic, and other cancers are needed.

See related commentary by Bertagnolli et al., p. 1049.

This article is highlighted in the In This Issue feature, p. 1027

Enormous progress has been made against cancer mortality since the passing of the National Cancer Act in 1971 (1). Nevertheless, cancer remains the second leading cause of death in the United States, responsible for approximately 600,000 deaths in 2019 (2). The U.S. government launched the Cancer Moonshot in 2016 to speed progress from cancer prevention to survivorship. In that year, Congress passed the 21st Century Cures Act that devoted $1.8 billion dollars over 7 years to Cancer Moonshot–driven research at the NCI toward accelerating scientific discovery, fostering greater collaboration, and improving data sharing (3). On February 2, 2022, President Biden and First Lady Dr. Biden reignited the Cancer Moonshot, setting new goals to reduce age-standardized cancer mortality rates by at least 50% over the next 25 years and improve the experience of people living with and surviving cancer and their families, ending “cancer as we know it” (4).

In this article, we examine trends in cancer mortality from 2000 to 2019 and project these trends forward 25 years, comparing the projected rate in 2047 with the goal of a 50% reduction. Reaching this goal requires consideration of specific approaches for each cancer type, as etiology, prevention, and treatment differ by site and type. Here, we focus on the trends in incidence, survival, and mortality (5) for the 15 most common causes of cancer death in the United States and review the six most common cancers in greater detail, as substantial progress against these cancers will be required to reach the 50% goal. These six cancers [lung, colorectal, pancreatic, breast, prostate, and liver/intrahepatic bile duct cancers (i.e., “liver cancer” throughout the article)] explain 56% of cancer deaths in men and 57% in women (Supplementary Table S1). We then discuss some of the most promising and realistic opportunities to further reduce U.S. cancer death rates and disparities for these and other cancers over the next 25 years.

Our focus on these leading cancer types is not meant to diminish the importance of continued innovation to prevent deaths due to other cancer types, including rare tumors and pediatric cancers. Rather, we focus on these sites because they contribute the largest number of deaths such that progress against them is required to reach the 50% goal.

In 2019, there were nearly 600,000 cancer deaths in the United States (Supplementary Table S1). The largest number of cancer deaths was caused by cancers of the lung (n = 139,601; 23.3%), colorectum (n = 51,896; 8.7%), pancreas (n = 45,885; 7.7%), female breast (n = 42,280; 7.1%), prostate (n = 31,636; 5.3%), and liver (n = 27,958, 4.7%). To achieve a 50% decline in age-standardized mortality rates between 2022 and 2047, death rates need to decline at an average of 2.7% per year overall.

From 1992 to 2019, the overall age-standardized incidence of cancer decreased from 495.1 to 418.4/100,000 (Fig. 1; Supplementary Table S2). Incidence rates were stable during 1994 to 2009 before declining during 2009 to 2019 (2009–2012: −2.3%/year; 2012–2019: −0.6%/year). Relative survival has improved (1-year relative survival: 77.6%–82.8%; 5-year relative survival: 63.7%–67.5%). The combination of declining incidence and increasing survival resulted in a decline in mortality rates from 198.8/100,000 in 2000 to 146.0/100,000 in 2019, and the rate of decline accelerated to −2.3% per year during 2016 to 2019. If this trend continues, the cancer mortality rate will decline 44% from 136.1/100,000 in 2022 to 76.3/100,000 in 2047. To reach the Moonshot goal, however, the cancer death rate would need to decline farther to fall below 68.1/100,000.

Figure 1.

Incidence rates (1992–2019), 1-, 3-, and 5-year relative survival (2000–2018, 2016, 2014), and mortality rates (2000–2019) for total cancer in the United States. Points represent observed values, and lines represent fitted estimates from Joinpoint models. For mortality rates, dashed lines represent projected mortality rates through 2047 based on extrapolating the data from the most recent trend. The red dashed line represents a 50% decline in age-standardized death rates from 2022. Estimates provided are annual percent changes in rates for the most recent time period. ns, not statistically significant.

Figure 1.

Incidence rates (1992–2019), 1-, 3-, and 5-year relative survival (2000–2018, 2016, 2014), and mortality rates (2000–2019) for total cancer in the United States. Points represent observed values, and lines represent fitted estimates from Joinpoint models. For mortality rates, dashed lines represent projected mortality rates through 2047 based on extrapolating the data from the most recent trend. The red dashed line represents a 50% decline in age-standardized death rates from 2022. Estimates provided are annual percent changes in rates for the most recent time period. ns, not statistically significant.

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A major driver of these overall trends was lung cancer, as incidence declined from 64.7 to 41.2/100,000 during 1992 to 2019, with a decline of −2.3% per year during 2017 to 2019 (Fig. 2; Supplementary Table S3). Relative survival also improved over time (1-year relative survival: 39.5%–53.7%; 5-year relative survival: 14.5%–21.6%). Rapid increases in survival were observed starting in 2013 (3.0%/year for 1-year survival; 6.8%/year for 3-year survival). Lung cancer mortality rates therefore declined significantly from 55.9 to 33.4/100,000, with the rate of decline accelerating to −4.7%/year during 2014 to 2019. If this trend continues, the lung cancer mortality rate will further decline 70% from 28.8/100,000 in 2022 to 8.6/100,000 in 2047.

Figure 2.

Incidence rates (1992–2019), 1-, 3-, and 5-year relative survival (2000–2018, 2016, 2014), and mortality rates (2000–2019) for lung cancer in the United States. Points represent observed values, and lines represent fitted estimates from Joinpoint models. For mortality rates, dashed lines represent projected mortality rates through 2047 based on extrapolating the data from the most recent trend. The red dashed line represents a 50% decline in age-standardized death rates from 2022. Estimates provided are annual percent changes in rates for the most recent time period.

Figure 2.

Incidence rates (1992–2019), 1-, 3-, and 5-year relative survival (2000–2018, 2016, 2014), and mortality rates (2000–2019) for lung cancer in the United States. Points represent observed values, and lines represent fitted estimates from Joinpoint models. For mortality rates, dashed lines represent projected mortality rates through 2047 based on extrapolating the data from the most recent trend. The red dashed line represents a 50% decline in age-standardized death rates from 2022. Estimates provided are annual percent changes in rates for the most recent time period.

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Colorectal cancer incidence decreased from 56.0 to 34.0/100,000 during 1992 to 2019 (Fig. 3; Supplementary Table S4). Incidence declined intermittently across the study period, with rates declining −2.4% per year during 2016 to 2019. Small gains in relative survival occurred during 2000 to 2019 (1-year relative survival: 81.6%–84.1%; 5-year relative survival: 63.2%–65.1%); however, relative survival has remained stable in the last decade. The major declines in incidence translated into declines in colorectal cancer mortality from 20.7 to 12.8/100,000, with a 2.0% per year decline during 2010 to 2019. If this trend continues, the colorectal cancer mortality rate will decline 39% from 12.1/100,000 in 2022 to 7.4/100,000 in 2047.

Figure 3.

Incidence rates (1992–2019), 1-, 3-, and 5-year relative survival (2000–2018, 2016, 2014), and mortality rates (2000–2019) for colorectal cancer in the United States. Points represent observed values, and lines represent fitted estimates from Joinpoint models. For mortality rates, dashed lines represent projected mortality rates through 2047 based on extrapolating the data from the most recent trend. The red dashed line represents a 50% decline in age-standardized death rates from 2022. Estimates provided are annual percent changes in rates for the most recent time period. ns, not statistically significant.

Figure 3.

Incidence rates (1992–2019), 1-, 3-, and 5-year relative survival (2000–2018, 2016, 2014), and mortality rates (2000–2019) for colorectal cancer in the United States. Points represent observed values, and lines represent fitted estimates from Joinpoint models. For mortality rates, dashed lines represent projected mortality rates through 2047 based on extrapolating the data from the most recent trend. The red dashed line represents a 50% decline in age-standardized death rates from 2022. Estimates provided are annual percent changes in rates for the most recent time period. ns, not statistically significant.

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In contrast to declines in lung and colorectal cancers, pancreatic cancer incidence increased slightly from 1992 (11.1/100,000) to 2019 (12.6/100,000), with rates increasing 0.5% per year during 2005 to 2019 (Fig. 4; Supplementary Table S5). Increases in relative survival occurred over time (1-year relative survival: 21.7%–38.5%; 5-year relative survival: 4.9%–11.2%), which corresponded to a 6.6% per year increase in 5-year survival during 2000 to 2014, although survival remained poor. Pancreatic cancer mortality rates increased slightly from 10.5 to 11.0/100,000, with a 0.2% per year increase during 2006 to 2019. If this trend continues, the pancreatic cancer mortality rate will increase 4.5% from 11.1/100,000 in 2022 to 11.6/100,000 in 2047.

Figure 4.

Incidence rates (1992–2019), 1-, 3-, and 5-year relative survival (2000–2018, 2016, 2014), and mortality rates (2000–2019) for pancreatic cancer in the United States. Points represent observed values, and lines represent fitted estimates from Joinpoint models. For mortality rates, dashed lines represent projected mortality rates through 2047 based on extrapolating the data from the most recent trend. The red dashed line represents a 50% decline in age-standardized death rates from 2022. Estimates provided are annual percent changes in rates for the most recent time period.

Figure 4.

Incidence rates (1992–2019), 1-, 3-, and 5-year relative survival (2000–2018, 2016, 2014), and mortality rates (2000–2019) for pancreatic cancer in the United States. Points represent observed values, and lines represent fitted estimates from Joinpoint models. For mortality rates, dashed lines represent projected mortality rates through 2047 based on extrapolating the data from the most recent trend. The red dashed line represents a 50% decline in age-standardized death rates from 2022. Estimates provided are annual percent changes in rates for the most recent time period.

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Breast cancer incidence among women has also increased slightly from 129.2 to 131.3/100,000 during 1992 to 2019 (Fig. 5; Supplementary Table S6). Incidence rates increased 1.4% per year during 1992 to 1999, decreased 2.3% per year during 1999 to 2004, and then increased 0.3% per year during 2004 to 2019. Gains in the already high relative survival occurred over time (1-year relative survival: 97.2%–97.7%; 5-year relative survival: 88.4%–90.4%; 10-year relative survival: 82.1%–84.9%). As a result of these changes, breast cancer mortality rates declined significantly from 26.6 to 19.4/100,000, with a −1.2% per year decline during 2013 to 2019. If this trend continues, the breast cancer mortality rate will decline 23% from 18.8/100,000 in 2022 to 14.0/100,000 in 2047.

Figure 5.

Incidence rates (1992–2019), 1-, 3-, 5-, and 10-year relative survival (2000–2018, 2016, 2014, 2009), and mortality rates (2000–2019) for female breast cancer in the United States. Points represent observed values, and lines represent fitted estimates from Joinpoint models. For mortality rates, dashed lines represent projected mortality rates through 2047 based on extrapolating the data from the most recent trend. The red dashed line represents a 50% decline in age-standardized death rates from 2022. Estimates provided are annual percent changes in rates for the most recent time period.

Figure 5.

Incidence rates (1992–2019), 1-, 3-, 5-, and 10-year relative survival (2000–2018, 2016, 2014, 2009), and mortality rates (2000–2019) for female breast cancer in the United States. Points represent observed values, and lines represent fitted estimates from Joinpoint models. For mortality rates, dashed lines represent projected mortality rates through 2047 based on extrapolating the data from the most recent trend. The red dashed line represents a 50% decline in age-standardized death rates from 2022. Estimates provided are annual percent changes in rates for the most recent time period.

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Although prostate cancer incidence among men declined from 1992 to 1995 (−10.7%/year), it increased by 2.7% per year from 2014 to 2019 (Fig. 6; Supplementary Table S7). Relative survival remained high during the time period. Prostate cancer mortality rates declined 3.4% per year from 2000 to 2013, but plateaued from 2013 to 2019, with an overall decline from 30.4 to 18.4/100,000. If this trend continues, prostate cancer mortality rates will decline 13% from 18.3/100,000 in 2022 to 15.9/100,000 in 2047.

Figure 6.

Incidence rates (1992–2019), 1-, 3-, 5-, and 10-year relative survival (2000–2018, 2016, 2014, 2009), and mortality rates (2000–2019) for prostate cancer in men in the United States. Points represent observed values, and lines represent fitted estimates from Joinpoint models. For mortality rates, dashed lines represent projected mortality rates through 2047 based on extrapolating the data from the most recent trend. The red dashed line represents a 50% decline in age-standardized death rates from 2022. Estimates provided are annual percent changes in rates for the most recent time period. ns, not statistically significant.

Figure 6.

Incidence rates (1992–2019), 1-, 3-, 5-, and 10-year relative survival (2000–2018, 2016, 2014, 2009), and mortality rates (2000–2019) for prostate cancer in men in the United States. Points represent observed values, and lines represent fitted estimates from Joinpoint models. For mortality rates, dashed lines represent projected mortality rates through 2047 based on extrapolating the data from the most recent trend. The red dashed line represents a 50% decline in age-standardized death rates from 2022. Estimates provided are annual percent changes in rates for the most recent time period. ns, not statistically significant.

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Liver cancer incidence increased from 4.6 to 8.6/100,000 during 1992 to 2019; however, rates declined 2.8% per year from 2015 to 2019 (Fig. 7; Supplementary Table S8). Relative survival improved over time (1-year relative survival: 29.9%–49.3%; 5-year relative survival: 10.9%–21.0%). Liver cancer mortality rates increased from 4.6 to 6.6/100,000; however, mortality rates declined nonsignificantly 0.5% per year starting in 2016. If this trend continues, the liver cancer mortality rate will decline 14% from 6.5/100,000 in 2022 to 5.6/100,000 in 2047.

Figure 7.

Incidence rates (1992–2019), 1-, 3-, and 5-year relative survival (2000–2018, 2016, 2014), and mortality rates (2000–2019) for liver and intrahepatic bile duct cancer in the United States. Points represent observed values, and lines represent fitted estimates from Joinpoint models. For mortality rates, dashed lines represent projected mortality rates through 2047 based on extrapolating the data from the most recent trend. The red dashed line represents a 50% decline in age-standardized death rates from 2022. Estimates provided are annual percent changes in rates for the most recent time period. ns, not statistically significant.

Figure 7.

Incidence rates (1992–2019), 1-, 3-, and 5-year relative survival (2000–2018, 2016, 2014), and mortality rates (2000–2019) for liver and intrahepatic bile duct cancer in the United States. Points represent observed values, and lines represent fitted estimates from Joinpoint models. For mortality rates, dashed lines represent projected mortality rates through 2047 based on extrapolating the data from the most recent trend. The red dashed line represents a 50% decline in age-standardized death rates from 2022. Estimates provided are annual percent changes in rates for the most recent time period. ns, not statistically significant.

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Mortality rates due to all other cancer types combined declined significantly from 80.7 to 63.9/100,000 during 2000 to 2019, with a decline of 1.7% per year during 2016 to 2019. Mortality trends for the next nine leading causes of cancer death are presented in Supplementary Table S9.

Substantial and rapid reductions in cancer mortality rates, averaging 2.7% per year, will be required to meet the Cancer Moonshot goal of a 50% reduction in overall age-standardized cancer mortality in the United States by 2047. We found large declines in cancer mortality during 2000 to 2019, with particularly rapid decreases of −2.3% per year from 2016 to 2019. These promising trends reflect substantial progress against lung cancer mortality (−4.7%/year), as well as progress against deaths from colorectal (−2.0%/year) and breast (−1.2%/year) cancers. However, trends for other cancer types were less promising. To achieve the Moonshot goal, progress against lung, colorectal, and breast cancer deaths needs to be maintained and/or accelerated, and new strategies for prostate, liver, pancreatic, and other cancers are needed.

We have focused the discussion below on the most promising and realistic opportunities to maintain progress and further reduce cancer death rates at the population level from the six most common causes of cancer mortality over the next 25 years (Table 1). For each site, we have highlighted potential interventions that could lead to acceleration in declining death rates in three areas: primary prevention, early detection, and treatment (see Figs. 1,234567). Our focus on these leading cancer types does not diminish the importance of continued innovation to prevent deaths due to other cancer types, including rare tumors and pediatric cancers. We focus on these sites because they contribute the largest number of deaths, and relative reductions in death rates will have the largest population-level impact. Of note, we have not discussed treatments that have small survival benefits or are effective for only a small subset of patients. While tremendously important for individual patients, such treatments are unlikely to have an impact at the population level.

Table 1.

Opportunities for accelerating declines in cancer death rates in the United States

Cancer typeOutcomePotential intervention typeOpportunity?
All cancers Incidence Modifiable risk factors Reduce smoking, obesity, physical inactivity, and alcohol consumption 
Lung Incidence Modifiable risk factors Increase smoking cessation; prevent initiation 
 Mortality Screening (early detection) Increase LDCT uptake and reduce disparities in use 
  Treatment Reduce disparities in access to more effective treatments (targeted and immune-based therapies for NSCLC) 
Colorectal Incidence Screening (prevention) Increase uptake of colonoscopy, flexible sigmoidoscopy, and FIT/FIT-DNA for hard-to-reach populations 
  Preventive treatment Increase adherence to diagnostic follow-up and polyp removal 
 Mortality Screening (early detection) Increase uptake of colonoscopy, flexible sigmoidoscopy, and gFOBT and FIT with diagnostic follow-up 
Pancreas Mortality Treatment Develop and evaluate new mutant KRAS inhibitors 
Breast Incidence Preventive treatment Evaluate efficacy of low-dose hormone therapies and improve risk stratification 
 Mortality Modifiable risk factors after diagnosis Evaluate strategies for increasing physical activity and decreasing obesity in survivors 
  Screening (early detection) Increase mammography uptake among underserved populations 
  Treatment Increase uptake/adherence to hormone therapy and chemotherapy, especially in underserved populations 
Prostate Mortality Screening (early detection) Evaluate risk-stratified PSA screening and improved diagnostic testing 
  Treatment Evaluate strategies to further reduce overtreatment and reduce disparities 
Liver Incidence Modifiable risk factors Increase uptake of HBV and HCV treatments; decrease smoking prevalence 
 Mortality Screening (early detection) Increase cirrhosis diagnosis and screening uptake 
Cancer typeOutcomePotential intervention typeOpportunity?
All cancers Incidence Modifiable risk factors Reduce smoking, obesity, physical inactivity, and alcohol consumption 
Lung Incidence Modifiable risk factors Increase smoking cessation; prevent initiation 
 Mortality Screening (early detection) Increase LDCT uptake and reduce disparities in use 
  Treatment Reduce disparities in access to more effective treatments (targeted and immune-based therapies for NSCLC) 
Colorectal Incidence Screening (prevention) Increase uptake of colonoscopy, flexible sigmoidoscopy, and FIT/FIT-DNA for hard-to-reach populations 
  Preventive treatment Increase adherence to diagnostic follow-up and polyp removal 
 Mortality Screening (early detection) Increase uptake of colonoscopy, flexible sigmoidoscopy, and gFOBT and FIT with diagnostic follow-up 
Pancreas Mortality Treatment Develop and evaluate new mutant KRAS inhibitors 
Breast Incidence Preventive treatment Evaluate efficacy of low-dose hormone therapies and improve risk stratification 
 Mortality Modifiable risk factors after diagnosis Evaluate strategies for increasing physical activity and decreasing obesity in survivors 
  Screening (early detection) Increase mammography uptake among underserved populations 
  Treatment Increase uptake/adherence to hormone therapy and chemotherapy, especially in underserved populations 
Prostate Mortality Screening (early detection) Evaluate risk-stratified PSA screening and improved diagnostic testing 
  Treatment Evaluate strategies to further reduce overtreatment and reduce disparities 
Liver Incidence Modifiable risk factors Increase uptake of HBV and HCV treatments; decrease smoking prevalence 
 Mortality Screening (early detection) Increase cirrhosis diagnosis and screening uptake 

Abbreviations: FIT, fecal immunochemical test; gFOBT, guaiac fecal occult blood test; HBV; hepatitis B virus; HCV, hepatitis C virus; LDCT, low-dose chest CT; NSCLC, non–small cell lung cancer; PSA, prostate-specific antigen.

In the United States, there are large disparities in cancer mortality by race and ethnicity, socioeconomic status, and geography. In 2019, Black men and women had the highest cancer death rates compared with each major racial/ethnic group (6). In addition, cancer death rates are significantly higher in the lowest income counties compared with the highest income counties (56% higher for 25–64-year-olds and 14% higher for ≥65-year-olds; ref. 7). Addressing disparities in cancer prevention, early detection, and treatment is intertwined with many of the opportunities discussed below and must be a key component to achieve sufficient reductions in cancer death rates to reach the 50% goal.

In addition to the specific recommendations below for each cancer site, there are several modifiable lifestyle risk factors that cause multiple types of cancer. In 2014, it was estimated that 28.8% of U.S. cancer deaths could be attributed to cigarette smoking, followed by 6.5% to excess body weight, 4.0% to alcohol, and 2.2% to physical inactivity (8). In contrast to the dramatic reductions in smoking (see below under lung cancer), the prevalence of obesity in the United States grew from 30.5% in 1999 to 2000 to 41.9% in 2017 to 2020 (9). Also, recent increases in alcohol-related deaths suggest worrisome future increases for alcohol-associated cancers (10, 11). Reversals of obesity, physical inactivity, and alcohol trends are urgently needed. Of note, new obesity drugs have shown promise (12), and new guidelines from the American Academy of Pediatrics advocate for a more aggressive approach to address childhood obesity (13). Successful population-level efforts to increase physical activity and decrease obesity and alcohol consumption would lower deaths from cancer and other chronic diseases; however, it could take longer than the 25-year time frame to reverse the current trends in these exposures and observe an impact on cancer rates at the population level.

Lung Cancer

Despite substantial reductions in mortality over the past 30 years, lung cancer remains the most common cause of cancer mortality in men and women in the United States. Declines in lung cancer mortality can largely be attributed to lower incidence, reflecting dramatic reductions in smoking prevalence and, to some degree, better lung cancer survival from improved treatments. Decades of tobacco control programs and policies have decreased the prevalence of cigarette smoking in youth and increased the prevalence of adult smokers who have successfully quit (14, 15). As a result, the cigarette smoking prevalence among men fell from 37.6% in 1980 to 14.1% in 2020 and among women from 29.3% in 1980 to 11.0% in 2020 (16, 17). The prevalence of cigarette smoking is particularly low among recent birth cohorts (e.g., 2.0% among high school students in 2022; ref. 18). The proportion of the population that has never smoked also increased substantially from 45.5% in 1980 to 65.3% in 2018 (17, 19). Given the substantial lag time between changes in smoking prevalence and lung cancer incidence at a population level (20–22), and the current low smoking prevalence among younger generations, future declines in lung cancer incidence are likely.

Nevertheless, far greater gains are possible. The prevalence of smoking remains unacceptably high, and there are considerable disparities (16). Increased adoption of population-level policies, such as tobacco product price increases and comprehensive smoke-free policies, together with enhanced access to evidence-based smoking cessation treatment, could accelerate cessation rates (15). In addition, regulatory efforts by the FDA play an important role. The FDA has proposed new tobacco product standards that prohibit menthol as a characterizing flavor in cigarettes (23) and all characterizing flavors (other than tobacco) in cigars (24). In addition, the FDA announced that it planned to develop a tobacco product standard that would establish a maximum nicotine level to reduce the addiction of cigarettes and some other tobacco products (25). FDA scientists estimate that a potential nicotine product standard would reduce the cigarette smoking prevalence to 1.4% by the year 2060 (26). Given that tobacco smoking is estimated to cause 80% to 90% of lung cancer (27–29), further declines in prevalence would have a dramatic impact on lung cancer mortality. Attention is also needed on other tobacco products such as cigar, pipe, and smokeless tobacco that are known to cause cancer, as well as emerging tobacco products such as e-cigarettes and nicotine pouches.

Lung cancer survival improved from 2000 to 2018 with the treatment of non–small cell lung cancer (NSCLC; three fourths of lung cancer cases in the United States) benefiting from targeted therapies against oncogenic driver mutations in the ALK and EGFR genes and immune-based therapies (30). Likely as a result, declines in mortality rates for NSCLC were twice as fast as declines in incidence rates (30). Unfortunately, there are disparities in the use of these more effective, yet expensive, treatments (31, 32), and comparable advances have not occurred for small cell lung cancer. Lung cancer screening may also have contributed toward improved survival (33) in recent years. The U.S. Preventive Services Task Force (USPSTF) recommends (grade B) annual low-dose chest CT (LDCT) screening for 50- to 80-year-olds who have a 20-pack-year smoking history and currently smoke or who have quit in the past 15 years (34). Unfortunately, LDCT is used by only a subset of eligible patients, and there are notable disparities (35, 36). Recent data from the Behavioral Risk Factor Surveillance System suggest that up to 20% of eligible patients received screening in 2017 to 2020 (37, 38), although 2018 estimates from the American College of Radiology's Lung Cancer Screening Registry were far lower (39). Increasing use of lung cancer screening would contribute to lower mortality rates, as would further improved treatments.

Colorectal Cancer

Colorectal cancer incidence and mortality rates have declined steadily, and relative survival has remained fairly stable over the last decade. Randomized controlled trials of targeted drugs for metastatic colorectal cancer [both anti-EGFR and anti–vascular growth factor receptor (anti-VEGF) agents] have demonstrated minimal survival gains for the vast majority of patients (40). In the future, biomarker development may better identify patients who might benefit from therapies.

Declining colorectal cancer incidence and mortality rates have largely been attributed to screening and removal of precancerous adenomatous polyps (41). Stool-based screening tests, including the guaiac fecal occult blood test (gFOBT) and fecal immunochemical test (FIT), are noninvasive and when administered at 2-year intervals reduce colorectal cancer mortality by 9% to 22% (42). Stool DNA tests have greater sensitivity to detect advanced adenomas than FIT tests; however, there is not yet direct evidence of effect on colorectal cancer mortality (42). Direct visualization screening tests that permit polyp removal include colonoscopy (68% mortality reduction with one round) and flexible sigmoidoscopy (26% reduction with screening every 3–5 years; ref. 42). While colonoscopy allows for evaluation and removal of polyps from the entire colon, flexible sigmoidoscopy, which is less invasive with simpler bowel preparation, is used for examination of the distal colon. CT colonography is available and also sensitive to detect polyps, but direct evidence on mortality is lacking.

The USPSTF recommends that 45- to 75-year-olds be screened for colorectal cancer—annually with stool-based tests (or every 1–3 years with stool DNA tests), every 10 years with colonoscopy, or every 5 years with flexible sigmoidoscopy or CT colonography (43). The USPSTF recommendations also include flexible sigmoidoscopy every 10 years if accompanied by annual FIT testing.

Despite the demonstrated sensitivity and effectiveness of colonoscopy in particular, only 61% of 50- to 75-year-olds and 56% of 50- to 64-year-olds have received a colonoscopy in the past 10 years (44). In addition, only 9% received gFOBT or FIT, 3% stool DNA, 2% flexible sigmoidoscopy, and 1% CT colonography at recommended intervals (44). Documented racial disparities in screening rates between Black and white individuals have diminished since 2000 (41, 45, 46), but colorectal cancer incidence and mortality remain higher in Black individuals, perhaps in part due to lower screening rates prior to 2000 and the long-term impact of screening (47). Highlighting the importance of adherence, a recent pragmatic randomized trial drawn from population registries in Europe found that individuals who received an invitation to undergo a single colonoscopy had a nonsignificant 10% reduction in colorectal cancer mortality risk over 10 years compared with the usual-care (i.e., no invitation or screening) group; the per-protocol adjustment to assume all eligible participants were adherent with colonoscopy suggested that mortality could be reduced by up to 50% (48).

Moving forward, improved uptake of direct visualization screening (i.e., colonoscopy, flexible sigmoidoscopy) will be critical. Stool-based testing may provide opportunities for increased uptake in underscreened populations (49), but only if accompanied by diagnostic follow-up and polyp removal for screen-positive individuals. For a colorectal screening program to effectively reduce mortality, screen-positive (i.e., high-risk) individuals must receive direct visualization and polyp removal at rates higher than the 46% to 81%, as suggested by a recent study (50).

Pancreatic Cancer

Age-standardized pancreatic cancer incidence rates in the United States have been increasing since 2001, although the increase has slowed in recent years (51). Approximately 90% of pancreatic cancers are pancreatic ductal adenocarcinomas, so most research (and this summary) is focused on this type.

Risk factors that have been consistently linked to pancreatic cancer risk include smoking, obesity, alcohol, diabetes, and pancreatitis but all with relative risks generally below 2.0 (52). Only 19% of pancreatic cancers could be attributed to modifiable risk factors in a recent European study and only 14% if smoking was excluded (53). Thus, even substantial changes in known modifiable risk factors would have a relatively modest effect on pancreatic cancer mortality. Having a first-degree relative with pancreatic cancer is associated with a 6.8-fold increased risk (54). Variants of several inherited susceptibility genes have been associated with pancreatic cancer, including BRCA1, BRCA2, PALB2, ATM, P16/CNKN2A, and Lynch syndrome genes, with approximately 10% of patients with pancreatic cancer carrying a known inherited susceptibility gene variant (52).

Pancreatic cancer survival has improved over time, perhaps partially due to the increased detection of stage 1A disease (2.7% of cases in 2016); however, survival remains poor (55). The poor survival of pancreatic cancer is due to a failure to detect at an early stage and lack of effective treatments. Early symptoms are usually mild and nonspecific, and there is no reliable general population screening tool or biomarker with sufficient sensitivity and specificity. Five-year relative survival is 44% among localized-stage pancreatic cancers (vs. 3% among distant stage), but only 12% are diagnosed with localized-stage disease (https://seer.cancer.gov/statistics-network/explorer/; RRID:SCR_003293). Several organizations recommend screening with imaging (e.g., endoscopic ultrasound or MRI) for individuals with genetic or familial susceptibility to identify high-grade intraepithelial neoplasia and early-stage pancreatic ductal adenocarcinoma. However, as only 10% of pancreatic cancers arise in high-risk individuals, this would not have a material impact on overall pancreatic cancer mortality rates.

Surgery of early-stage pancreatic cancer is the only curative treatment, but only 10% to 20% of patients are identified at this stage and eligible for surgery (56). Currently, chemotherapy is the main form of treatment for unresectable tumors, most often gemcitabine. However, resistance is common, and treatment increases overall survival by only 9 months (56). Immunotherapies, such as PD-1 or PD-L1 mAbs, have been notably ineffective in treating pancreatic cancer (57).

An attractive target for pancreatic cancer therapies is mutant KRAS, because it is a driver mutation in 90% of pancreatic cancers. Mutant RAS proteins have proven to be difficult drug targets. However, sotorasib, a small-molecule drug that specifically inactivates KRAS with the G12C mutation, was recently approved for the treatment of NSCLC (58). While relatively common in lung cancer, this mutation is found in only 2% of pancreatic cancers. The G12D, G12V, and G12R mutants are present in 38%, 38%, and 14% of pancreatic cancers, respectively, and are therefore more attractive targets of pancreatic cancer therapies. Inhibitors for these KRAS mutants are under active development (59, 60) and perhaps hold the greatest promise for increasing survival of a substantial fraction of patients with pancreatic cancer in the future.

In summary, the prospects for decreasing pancreatic cancer rates substantially over the next 25 years are dim. Better screening tests could have a substantial impact on mortality, but only if they could identify early-stage cancers for surgical removal and could be applied to a broader high-risk segment of the population than current visual tests. New treatments that increase survival time after diagnosis (e.g., mutant KRAS inhibitors) can reasonably be expected in the coming decades.

Breast Cancer

The decline in breast cancer mortality rates over the last 20 years is driven by gains in survival, as incidence rates have increased slightly due to increases in estrogen receptor–positive (ER+) disease (61). Rates of ER-negative (ER) disease are decreasing in all racial/ethnic groups, although disparities remain (62). Although survival for ER disease is lower than for ER+ disease, ER+ disease accounts for a larger fraction of breast cancer deaths overall (58.7% vs. 32.5% for deaths in 2010–2019) and even among <50-year-olds (51%; Supplementary Tables S10 and S11).

Primary prevention trials using hormonal therapies such as tamoxifen or aromatase inhibitors in high-risk women found that treatment reduced ER+ breast cancer incidence by 50% to 65% (63–66). The USPSTF recommends these therapies be offered to women aged ≥35 years who are at increased risk of breast cancer. They concluded that those with at least a 3% risk for breast cancer in the next 5 years are likely to derive more benefit than harm from risk-reducing medications (67). It is estimated that while >10 million women in the United States are eligible (68), <10% of eligible women receive these therapies (66, 69). There are ongoing efforts to assess the efficacy of low-dose tamoxifen, which has reduced side effects compared to standard-dose tamoxifen (70). Combined with improved risk stratification to identify women at greatest risk of breast cancer, this could improve the risk–benefit profile of hormonal therapy for primary prevention of ER+ disease.

Randomized trials and observational studies demonstrated that regular mammographic screening reduces breast cancer mortality by 10% to 30% depending on age (71, 72). Current U.S. survey data suggest that about 70% of eligible women are up to date with mammography (73). Uptake is similar across race/ethnic groups but lower in women with less education and lower income (about 60%) and without health insurance (about 40%; ref. 73). Efforts to increase screening uptake in these populations are warranted.

Endocrine therapy, chemotherapy, and targeted therapies improve overall survival in patients with metastatic cancer (74, 75), but about two thirds of breast cancer deaths are due to metastatic relapse after initial therapy. Neoadjuvant and adjuvant therapies, including endocrine therapy, HER2-targeted therapy, immunotherapy, and chemotherapy have significantly reduced mortality in patients initially diagnosed with early-stage disease. Five years of tamoxifen or aromatase inhibitors reduces breast cancer mortality by 30% to 35% and chemotherapy reduces mortality by 20% to 30% (76–78). However, even in an HMO health care setting, about 20% of eligible patients do not initiate endocrine treatment (79), and there are also racial/ethnic disparities in use (80). In addition, studies have shown a higher likelihood of delays in initiation of chemotherapy treatment in Black women with breast cancer (81) that may contribute to worse outcomes (82, 83). Therefore, efforts to increase uptake and adherence should further decrease breast cancer mortality.

Observational studies suggest that some lifestyle factors, particularly physical activity, could reduce breast cancer mortality among women with breast cancer, but confounding by treatment and tumor characteristics is difficult to rule out (84, 85). Patients could be more motivated to change their behavior after a cancer diagnosis; therefore, this warrants further investigation.

In summary, hormonal therapy is highly effective at both preventing and treating ER+ breast cancer, which causes approximately 60% of breast cancer deaths. In addition, chemotherapy and targeted therapies have reduced mortality. Modeling studies suggest that treatment has had a greater impact than screening on mortality rates for ER+ disease, whereas for ER disease the contributions were similar (86). Strategies to further increase uptake of hormonal therapy, particularly for prevention, and mammography screening in high-risk and underserved populations would likely have an impact on breast cancer mortality trends at the population level.

Prostate Cancer

Prostate cancer incidence and mortality rates declined significantly during 2000 to 2012, but subsequent declines have been modest. Prostate cancer is the most commonly diagnosed cancer in U.S. men; however, only about 10% to 15% of men with prostate cancer will die from the disease (87). The relatively low mortality is driven by many patients having low-grade tumors and/or competing causes of mortality in an older population. Among Black men, prostate cancer incidence is increased about 2-fold and mortality is increased 2- to 3-fold compared with white men (87, 88).

There are no established modifiable risk factors for prostate cancer. Prevention studies using the 5α reductase inhibitors finasteride and dutasteride demonstrated a 20% to 25% reduction in incidence of low-grade prostate cancers but a small increase (0.5%–0.7%) in the risk of high-grade prostate cancer (89–91) and no reduction in prostate cancer–specific death or death from any cause (92). Thus, these drugs are not used for prostate cancer prevention. To successfully reduce incidence of prostate cancer, safe agents that could prevent high-grade disease among men at higher risk are required.

Prostate cancer mortality began declining in the 1990s, but in 2012 the rate of decline significantly attenuated. While the exact causes for these changes cannot be determined unequivocally, the decrease in the 1990s coincided with the FDA approval of prostate-specific antigen (PSA) testing for early detection of prostate cancer in 1994. In 2002 and 2008, the USPSTF guidelines concluded that the evidence for PSA screening was insufficient to recommend for or against its use (93, 94), and in 2012, they recommended against screening (95), leading to decreases in PSA screening (96). There has been an increase in metastatic prostate cancer diagnoses since 2012 (97–99), and also in localized and regional disease since 2014 (100). While it is plausible that some of the attenuation in the prostate cancer mortality trend reflects the decrease in PSA screening (101), the underlying causes of the other stage-specific increases in prostate cancer incidence also need careful evaluation. Screening in 55- to 69-year-olds decreased from a peak of 42% in 2008 to 33% in 2013 and then plateaued (102). In 2018, the USPSTF released new guidance recommending shared decision-making for screening in men ages 55 to 69 years (103). PSA screening is associated with significant morbidity including the risk of unnecessary biopsies and surgical or radiation treatment. Screening targeted to high-risk men and the development of more sensitive and specific tests for high-risk prostate cancer could improve the balance of the risks and benefits.

Treatment of early-stage and localized prostate cancer is primarily surgery alone or radiotherapy with or without androgen blockade depending on risk factors (104). This is highly effective in reducing recurrence and prostate cancer death, with 10-year disease-specific survival in excess of 95%. Active surveillance for patients with low-risk disease and selective patients with intermediate-risk disease significantly reduces the overtreatment of patients (105). The addition of androgen deprivation therapy to radiation in high-risk early-stage disease has been shown to increase overall survival (106). In the metastatic setting, taxane-based chemotherapy [in metastatic hormone-sensitive cancer (mHSPC)] and second-generation androgen blockers (in metastatic castration-resistant prostate cancer, nonmetastatic castration-resistant prostate cancer, and mHSPC) also significantly increase survival.

In summary, the flattening of the trends in prostate cancer mortality are a concerning development and could be related to reductions in PSA screening. Screening targeted to high-risk men and the development of more sensitive and specific tests for high-risk prostate cancer could improve the balance of the risks and benefits of screening and reduce prostate cancer mortality.

Liver Cancer

Liver cancer death rates in the United States began to decline in 2016 after decades of increases. Roughly three fourths of liver/intrahepatic bile duct cancer deaths were due to liver cancers, which have declined in both incidence (since 2015) and mortality (since 2016; Supplementary Fig. S1).

The etiology of liver cancer includes both viral [hepatitis B virus (HBV) and hepatitis C virus (HCV)] and nonviral causes (fatty liver disease, excessive alcohol consumption, and cigarette smoking; ref. 107). Excess body weight and alcohol intake combined cause over a half of all liver cancers in the United States (8); thus, progress against these important risk factors is critical to accelerate declines in liver cancer death rates. In the United States, an estimated 7% to 8% of liver cancer cases are caused by HBV and an estimated 24% to 34% are caused by HCV (8, 108). There are an estimated 1.5 to 2.4 million people with chronic HBV infection (109) and 2.5 to 4.7 million people with chronic HCV infection (110). In 2021, the White House unveiled “The Viral Hepatitis National Strategic Plan for the United States: A Roadmap to Elimination (2021–2025)” to eliminate hepatitis A, B, and C as public health threats by 2030 (111).

Infant HBV vaccination started in 1991. However, only 30% of ≥19-year-olds and 19% of ≥50-year-olds reported prior HBV vaccination in 2018 (112). HBV-associated liver cancer risk in birth cohorts with a high prevalence of vaccination should decline in the coming years. As progression from acute to chronic HBV occurs in only 5% to 10% of healthy adults, adult HBV vaccination would have a limited impact on liver cancer prevention (113); however, currently available treatments for chronic HBV can reduce HCC risk and have improved significantly over time (114).

There are no HCV vaccines; however, direct-acting antiviral agents (DAA) to treat HCV were introduced in late 2014 and are highly effective in curing HCV infection and thereby reducing liver cancer risk (115), even among those with cirrhosis (116). DAAs may also provide a survival benefit among some patients with liver cancer (116). However, uptake of timely DAA treatment has been low—23% among those with Medicaid, 28% with Medicare, and 35% with private insurance (117); significant disparities by state and race have been reported (117). Further, in 2013 to 2016, just over half of persons infected with HCV were aware of their diagnosis (118). In 2020, the Centers for Disease Control and Prevention expanded HCV testing recommendations to at least once in a lifetime for all adults and for women during each pregnancy except in settings in which the prevalence of HCV is <0.1% (119), although it is unclear whether these new guidelines have improved diagnosis. Increased HCV testing and expanded access to curative HCV treatments could reduce future liver cancer incidence and mortality. It should also be noted that alcohol abstinence among those with alc­ohol-related cirrhosis may also reduce liver cancer risk (120).

There are substantial racial/ethnic disparities in liver cancer mortality rates. The highest death rates have been reported among American Indian/Alaska Native individuals; however, rates among Asian, Black, Latino, and Native Hawaiian/Pacific Islander individuals are also strongly elevated compared with white individuals (A.T. Haque; submitted for publication). Given notable racial/ethnic differences in HCV and HBV prevalence (121), prevention and treatment of these viruses would additionally reduce disparities.

Liver cancer survival is poor, with the best prognosis found for early-stage diagnoses when cure is possible with surgery or transplantation (122). There are no general population screening programs for liver cancer; however, cirrhosis precedes 80% of cases, and an estimated 69% of individuals in the United States with cirrhosis are unaware of their diagnosis (117). Surveillance of people with cirrhosis using ultrasound with or without alpha-fetoprotein measurements is recommended (123) and is associated with increased odds of having a transplant-eligible tumor (124). However, the utility of ultrasound varies by operator and is reduced among those who are obese (107).

In summary, there have been recent declines in liver cancer incidence and mortality rates, but more progress is needed against the three major causes—obesity, alcohol, and viral hepatitis. New technologies focused on early detection may contribute to future mortality declines as well as expanded surveillance of high-risk groups. Strategies to expand detection and treatment of HBV and HCV will be key to accelerate declines.

Other Cancer Sites and Additional Opportunities

We have focused on the six most common causes of cancer mortality that together account for 57% of cancer deaths. Deaths due to leukemia, non-Hodgkin lymphoma, myeloma, and cancers of the brain/central nervous system (CNS), bladder, esophagus, kidney/renal pelvis, ovary, and endometrium cause an additional 24% of cancer deaths. Death rates for each of these cancer types have declined significantly in recent years with the exception of brain/CNS and uterine corpus cancers (Supplementary Table S11). Cigarette smoking is estimated to cause 30% of all cancer deaths; thus, continued reductions in cigarette smoking will have a broad impact (8, 125, 126). HPV-associated cancer incidence and mortality are expected to decline substantially as HPV vaccinated adolescents reach the peak ages for these cancers. Future innovations that might accelerate progress against other cancers include multicancer screening technologies that are currently under development and being assessed in new large-scale studies (127). Therapeutic advances against less common cancers could also substantially benefit patients and contribute to further reductions in overall cancer mortality. Despite the difficulties, there is an urgent need for innovation to reduce the prevalence of obesity, physical inactivity, and alcohol use. In particular, obesity rates have continued to increase and threaten progress against cancer. Effective population-level interventions would reduce risk of cancer mortality and many other chronic diseases in the years to come.

Unfortunately, cancer death rates have actually increased in recent years for some sites not highlighted here (128). Importantly, deaths rates due to cancer of the uterine corpus among women are increasing the most rapidly of any cancer type (128). These increases are driven by nonendometrioid uterine carcinomas, and there are significant racial/ethnic disparities (129). Interventions focused on prevention, early detection, and treatment of these cancers could have an impact on future cancer mortality rates among women (129).

Limitations of our approach include the types of mathematical models used to project cancer mortality over the next 25 years, assumptions about the factors impacting the trends, and the accuracy of death certificate coding. We used Joinpoint regression models to estimate annual percent changes (APC) in incidence, relative survival, and mortality based on recent data. While we can project recent APCs into the future, the method is agnostic to the underlying cause of such trends. Our projections rely on the assumption that recent changes will continue at the same rate for the designated time period without factoring in the relative importance of exposures, prevention, and treatment embedded in the APC carried forward. This approach may be too optimistic if, for example, the prevalence of overweight and obesity accelerates in the coming years, increasing the number of cancers attributed to excess body weight. Another issue is the number of cancer deaths without a specified site (unknown primary), which continues to be 5% of cancer deaths. Some of these are likely misclassified, and site-specific death rates will be slightly underestimated. Finally, it is important to note that a 50% decline in age-adjusted mortality rates does not correspond to a similar decline in the number of cancer deaths. The rapid growth of the older population in the United States (130), where cancer death rates are highest, means that a 50% reduction in age-adjusted cancer mortality rates will translate into a much smaller decline in the absolute number of cancer deaths over the next 25 years.

Microsimulation models can be used to predict the impact of specific prevention and treatment policies on incidence and mortality trends (131). For example, the relative harms and benefits of alternative cancer screening and management strategies have informed national guidelines for cancer prevention (132–135). However, there remains a lack of data on the age, period, and cohort effects—of carcinogens, of preventive methods, of therapeutic interventions—to fit models that reflect the cross-sectional U.S. population and the corresponding projections of policy impact on age-adjusted incidence and mortality.

We have focused here on the Moonshot goal of reducing cancer mortality by 50% over the next 25 years. Therefore, our recommendations focus on research and interventions that could impact this population-level goal in this time frame. However, this does not diminish the importance of other parallel Moonshot priorities (4), including speeding progress against childhood and rare cancers; reducing environmental exposures; and supporting patients, caregivers, and survivors—all of which will contribute to “ending cancer as we know it.”

In summary, we project that accelerating progress will be needed to reach the Moonshot goal of a 50% reduction in cancer mortality rates by 2047. In addition to continued innovation, substantial progress toward this goal could be accomplished by increasing use of what is already known to prevent, detect, and treat common cancers. Interventions including further reductions in the prevalence of cigarette smoking, increased uptake of colorectal cancer screening, increased use of hormonal therapy in breast cancer, and increased use of HBV and HCV therapy to reduce risk of liver cancer may allow the United States to reach or even surpass the Moonshot goal of a 50% reduction in cancer mortality rates. Addressing underutilization of and disparities in access to prevention, screening, and treatment must play a central role as we work toward the goal of reducing cancer mortality for the entire U.S. population over the coming decades.

We estimated trends in cancer incidence (1992–2019), survival (2000–2019), and mortality (2000–2019). Cancer incidence from 12 cancer registries and survival data from 17 cancer registries were obtained from the Surveillance, Epidemiology, and End Results (SEER) Program, and cancer mortality data were obtained from national death certificate data from the National Center for Health Statistics. Incident cancers and cancer deaths were recorded into categories by the SEER Program based on International Classification of Diseases for Oncology, Third Edition (ICD-O-3), and ICD-10 codes.

Incidence and mortality rates are presented age-standardized to the 2000 U.S. population. One-, 3-, 5- and 10-year relative survival was estimated for cancers diagnosed annually from 2000 through 2018, 2016, 2014, and 2009, respectively, with follow-up through 2019. Relative survival is commonly used in national surveillance reports (128) and is the ratio of the observed survival among individuals with cancer to the expected survival, based on survival estimates from the general U.S. population by race, sex, age, and year. All analyses were carried out in SEER*Stat 8.4.0 (seer.cancer.gov/seerstat; RRID:SCR_003293).

Joinpoint regression (Joinpoint software 4.9.0.0) was used to estimate APCs in incidence, relative survival, and mortality estimates. Joinpoint identifies years where temporal trends change significantly. To demonstrate potential future cancer mortality rates under the assumption that recent trends will continue, we used the APC from the most recent time period, which varies by cancer type, to project cancer death rates forward until 2047. The projection assumes that cancer death rates will continue to change at the same trajectory as the most recent time period.

All data are publicly available at https://seer.cancer.gov/data-software/ and https://wonder.cdc.gov/ucd-icd10.html.

N.G. Campos reports other support from the NCI during the conduct of the study. No disclosures were reported by the other authors.

M.S. Shiels: Conceptualization, formal analysis, visualization, writing–original draft, writing–review and editing. S. Lipkowitz: Writing–original draft, writing–review and editing. N.G. Campos: Writing–original draft, writing–review and editing. M. Schiffman: Writing–original draft, writing–review and editing. J.T. Schiller: Writing–original draft, writing–review and editing. N.D. Freedman: Writing–original draft, writing–review and editing. A. Berrington de Gonzalez: Writing–original draft, writing–review and editing.

This work was funded by the Intramural Research Program of the NCI. The authors thank the following colleagues for providing a review of this article: Michael Cook, Thomas O'Brien, Montserrat García-Closas, Michele Bloch, Robert Schoen, James Doroshow, Hilary Robbins, Phillip Castle, Howard Parnes, Ravi Madan, Jacqueline Vo, and Anika Haque.

The publication costs of this article were defrayed in part by the payment of publication fees. Therefore, and solely to indicate this fact, this article is hereby marked “advertisement” in accordance with 18 USC section 1734.

Note: Supplementary data for this article are available at Cancer Discovery Online (http://cancerdiscovery.aacrjournals.org/).

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