Cancer incidence and deaths in the United States were projected for the most common cancer types for the years 2020 and 2030 based on changing demographics and the average annual percentage changes in incidence and death rates. Breast, prostate, and lung cancers will remain the top cancer diagnoses throughout this time, but thyroid cancer will replace colorectal cancer as the fourth leading cancer diagnosis by 2030, and melanoma and uterine cancer will become the fifth and sixth most common cancers, respectively. Lung cancer is projected to remain the top cancer killer throughout this time period. However, pancreas and liver cancers are projected to surpass breast, prostate, and colorectal cancers to become the second and third leading causes of cancer-related death by 2030, respectively. Advances in screening, prevention, and treatment can change cancer incidence and/or death rates, but it will require a concerted effort by the research and healthcare communities now to effect a substantial change for the future. Cancer Res; 74(11); 2913–21. ©2014 AACR.

Lung, breast, prostate, and colorectal cancer are considered to be the “big four” cancer types in the United States based on the fact that the incidence of these cancer types surpasses that of all other cancer types, excluding non-melanoma skin cancer (1). These cancer types, therefore, receive the most attention from government agencies such as the National Cancer Institute (NCI), as well as the pharmaceutical industry. For example, the NCI allocates the greatest proportion of its budget by disease site to breast cancer, followed by lung, prostate, and colorectal cancer (2).

The demographic shifts in the U.S. population have a major influence on the projected number of cancer cases for the future. Smith and colleagues (3) projected substantial increases in the number of cancer cases in 2020 and 2030 due to an increase in the number of adults 65 years and older as the baby boomer generation ages. The number of minorities is also increasing, and evidence indicates that some minority populations have higher cancer incidence rates and lower cancer survival rates compared with Whites, leading to an additional projected increase in those affected by cancer in future years (3).

In addition to increases in cancer incidence due to demographic changes, changes in both the incidence rates and death rates for specific cancers impact the future burden of these diseases. The cancer incidence rate, or number of cases per 100,000 people, for origin-specific cancer types is altered by factors such as a change in the prevalence of smoking or HPV infection (ref. 4, for example). Overall, the cancer-related death rate has been decreasing as a result of improved screening and therapeutic approaches to many cancer types (4, 5).

The impact of demographic shifts in the U.S. population on cancer incidence in 2020 and 2030 reported by Smith and colleagues (3) assumed that origin-specific cancer incidence rates averaged over the years 2003 to 2005 will remain constant through 2030. However, these rates are changing substantially for several cancer types, increasing an average of between 2.9% to 6.5% per year for liver, uterine, and thyroid cancers and decreasing an average of 2.0% to 3.3% per year for prostate and colorectal cancers (4, 5). In this report, we incorporated rate changes observed in the years 2006 to 2010 into the 2020 and 2030 incidence projections made on the basis of demographic changes. In addition, we projected the number of origin-specific cancer-related deaths in 2020 and 2030 based on these demographic changes as well as changes in the death rates. These results indicated that the incidence of thyroid, melanoma, and uterine cancer will surpass that of colorectal cancer by 2030, and the top cancer killers will be lung, pancreas, and liver cancers.

### Projected cancer incidences

Projections of cancer incidences due to combined changes of demographics and incidence rates were calculated for the 12 most common cancers for men and 13 for women using the projections previously reported by Smith and colleagues (3) and correcting them by applying the delay-adjusted average annual percentage change (AAPC) in the incidence rates for 2006 to 2010 for men and women reported by Edwards and colleagues (5). The projection for each cancer type is described mathematically as follows:

where $AAPC_i$ is the AAPC in incidence (5), $I_d$ is the projected incidence based on demographics (3), and n is the adjustment in years. The number of years in the adjustment was 6, 16, and 26 for 2010, 2020, and 2030, respectively, to account for the fact that the Smith and colleagues projections were based on the 2003 to 2005 data. AAPC in incidence rates that are not statistically significantly different from zero were considered to be zero. Values for men and women were calculated separately and then added together for the total population value. All calculations were performed under the assumption that the AAPC in the incidence rates for 2006 to 2010 will remain the same over the entire time period.

### Projected cancer-related deaths

Any additional cancer types identified as being in the top 10 cancers killers for men or women were added to the previous list of most common cancers: these include brain and central nervous system (CNS), esophagus, and ovary. Projections of deaths of the most common and most deadly cancers (a total of 14 cancer types for men and 16 cancer types for women) due to the combined changes of demographics and death rates were calculated using the 2010 number of deaths for men and women as provided by SEER*Stat Database (6) and applying the AAPC in death rates from 2006 to 2010 for men and women reported by Edwards and colleagues (5). The number of deaths in 2020 and 2030 were calculated by adjusting for demographic changes by determining the percentage increase in new cancer cases in 2020 and 2030 relative to 2010 reported by Smith and colleagues (3), and this number was adjusted by the AAPC in the death rates for 10 years for the 2020 projections, and for 20 years for the 2030 projections. The calculation for the projected deaths for each cancer type is described mathematically as follows:

where ${\rm AAPC}_d$ is the AAPC in death (5), $D_{2010}$ is the 2010 actual death (6), $\Delta I_d$ is the increase of projected incidences based on demographics for 2020 and 2030 relative to 2010 projected incidences, and n is the adjustment in years: 10 and 20 years for 2020 and 2030, respectively. AAPC in death rates that are not statistically significantly different from zero were considered to be zero. Separate calculations for men and women were combined to derive the projection for the total population. All calculations were performed under the assumption that the AAPC in death rates will remain the same over the next 20 years.

The AAPCs in death rates for thyroid cancer in males and females, and melanoma in females were not reported in Edwards and colleagues' report and were calculated using the National Center of Health Statistic mortality data as provided by the SEER*Stat Database (6). The Joinpoint Regression program (version 4.04, accessed December 2013; NCI, Bethesda, MD) was used with up to five joinpoints allowed in the period 1975 to 2010 as described by Edwards and colleagues (5).

### Cancer incidences

Projected cancer incidence based on changing demographics and AAPC in incidence rates for the 12 most common cancers in men and 13 most common cancers in women are reported in Table 1. The leading cancer sites in 2030 are predicted to be prostate, lung, and melanoma for men and breast, thyroid, and uterine for women. This ranking differs from the ranking in 2010 (Table 1), the estimates for 2014 (1), and the ranking based on demographic changes alone (3), in which the leading cancer sites for men are prostate, lung, and colorectal and breast, lung, and colorectal for women. For men, the discrepancy is due to the average annual percentage increase in melanoma (2.4%), and the average annual percentage decrease in colorectal cancer (−3.3%) incidence. For women, the average annual percentage increase of thyroid (6.5%) and uterine (2.9%), and the average annual percentage decrease of colorectal (−3.0%) cancer incidence accounts for the difference.

Table 1.

Projected incidences based on changing demographics and average annual percentage change in incidence rates

MenWomenAll
Cancer sitesAAPCa# of CasesbAAPCa# of Casesb# of Casesb
All
2010 −0.6 808,000 NS 761,000 1,569,000
2020  961,000  900,000 1,861,000
2030  1,086,000  1,049,000 2,135,000
2010 NS 57,000 −0.4 19,000 76,000
2020  72,000  21,000 93,000
2030  89,000  24,000 113,000
Breast
2010   NS 226,000 226,000
2020    262,000 262,000
2030    294,000 294,000
Colon and rectum
2010 −3.3 72,000 −3.0 68,000 139,000
2020  65,000  61,000 127,000
2030  58,000  56,000 114,000
Kidney and renal pelvis
2010 NS 30,000 NS 18,000 48,000
2020  37,000  22,000 59,000
2030  44,000  25,000 69,000
Leukemia
2010 0.4 27,000 0.6 20,000 46,000
2020  33,000  24,000 57,000
2030  42,000  30,000 73,000
Liver and intrahepatic bile
2010 3.7 19,000 2.9 7,000 26,000
2020  34,000  13,000 47,000
2030  62,000  21,000 83,000
Lung and bronchus
2010 −1.9 107,000 −1.2 95,000 202,000
2020  115,000  104,000 219,000
2030  116,000  109,000 225,000
Melanoma
2010 2.4 47,000 1.7 32,000 79,000
2020  70,000  41,000 111,000
2030  98,000  53,000 151,000
Non-Hodgkin lymphoma
2010 0.7 38,000 NS 31,000 69,000
2020  49,000  37,000 86,000
2030  64,000  44,000 108,000
Oral cavity and pharynx
2010 NS 25,000 −0.9 10,000 35,000
2020  30,000  11,000 41,000
2030  34,000  12,000 46,000
Pancreas
2010 1.3 22,000 1.4 22,000 43,000
2020  31,000  31,000 62,000
2030  43,000  44,000 88,000
Prostate
2010 −2.0 218,000   218,000
2020  235,000   235,000
2030  228,000   228,000
Thyroid
2010 5.4 11,000 6.5 34,000 45,000
2020  21,000  71,000 92,000
2030  39,000  144,000 183,000
Uterine corpus
2010   2.9 52,000 52,000
2020    82,000 82,000
2030    122,000 122,000
MenWomenAll
Cancer sitesAAPCa# of CasesbAAPCa# of Casesb# of Casesb
All
2010 −0.6 808,000 NS 761,000 1,569,000
2020  961,000  900,000 1,861,000
2030  1,086,000  1,049,000 2,135,000
2010 NS 57,000 −0.4 19,000 76,000
2020  72,000  21,000 93,000
2030  89,000  24,000 113,000
Breast
2010   NS 226,000 226,000
2020    262,000 262,000
2030    294,000 294,000
Colon and rectum
2010 −3.3 72,000 −3.0 68,000 139,000
2020  65,000  61,000 127,000
2030  58,000  56,000 114,000
Kidney and renal pelvis
2010 NS 30,000 NS 18,000 48,000
2020  37,000  22,000 59,000
2030  44,000  25,000 69,000
Leukemia
2010 0.4 27,000 0.6 20,000 46,000
2020  33,000  24,000 57,000
2030  42,000  30,000 73,000
Liver and intrahepatic bile
2010 3.7 19,000 2.9 7,000 26,000
2020  34,000  13,000 47,000
2030  62,000  21,000 83,000
Lung and bronchus
2010 −1.9 107,000 −1.2 95,000 202,000
2020  115,000  104,000 219,000
2030  116,000  109,000 225,000
Melanoma
2010 2.4 47,000 1.7 32,000 79,000
2020  70,000  41,000 111,000
2030  98,000  53,000 151,000
Non-Hodgkin lymphoma
2010 0.7 38,000 NS 31,000 69,000
2020  49,000  37,000 86,000
2030  64,000  44,000 108,000
Oral cavity and pharynx
2010 NS 25,000 −0.9 10,000 35,000
2020  30,000  11,000 41,000
2030  34,000  12,000 46,000
Pancreas
2010 1.3 22,000 1.4 22,000 43,000
2020  31,000  31,000 62,000
2030  43,000  44,000 88,000
Prostate
2010 −2.0 218,000   218,000
2020  235,000   235,000
2030  228,000   228,000
Thyroid
2010 5.4 11,000 6.5 34,000 45,000
2020  21,000  71,000 92,000
2030  39,000  144,000 183,000
Uterine corpus
2010   2.9 52,000 52,000
2020    82,000 82,000
2030    122,000 122,000

Abbreviation: NS, nonsignificant.

aEdwards et al., (ref. 5, Table 1).

bAll projections for 2010 were calculated using rounded incidences from Smith et al. (3), and projections for 2020 and 2030 were calculated using the previous unrounded incidence projections, then rounded to the nearest 1,000.

Combined sex analysis shows that breast, prostate, and lung cancers will remain the highest in absolute number of cases for the next 20 years (Table 1 and Fig. 1A). The AAPC in incidence rate for breast cancer is not changing significantly, whereas the AAPCs in incidence rate for lung and prostate cancers are decreasing by 1% to 2% per year (Table 1). Although the AAPCs in incidence of these cancers are expected to remain stable or decrease slightly, the projected increase in absolute number of cases is due to the anticipated increase in older individuals (age > 65) and minorities, some of which have higher cancer incidence rates. For example, the incidence rate of prostate cancer in Black men exceeds the average for all races and ethnicities by 50% (220.0 and 146.6, respectively; ref. 5). Because these demographic changes are substantial, they overcome the decreasing AAPC and lead to an increase in overall case number. This suppression of the AAPC in incidence rate by the demographic changes is not expected to continue indefinitely; for example, by 2030 the total number of prostate cancer cases is projected to decrease slightly compared with 2020 (Table 1 and Fig. 1A).

Figure 1.

Projected cancer incidence and deaths, both sexes. A, incidence projections of the top eight cancers by 2030 due to demographic changes and the AAPC in incidence rates. All cancer sites shown have at least 110,000 cases projected by 2030 when both the demographic and AAPC factors are taken into consideration. B, death projections of the top cancer killers due to demographic changes and the AAPC in death rates. All cancer sites shown have at least 25,000 cases projected in 2020 or 2030.

Figure 1.

Projected cancer incidence and deaths, both sexes. A, incidence projections of the top eight cancers by 2030 due to demographic changes and the AAPC in incidence rates. All cancer sites shown have at least 110,000 cases projected by 2030 when both the demographic and AAPC factors are taken into consideration. B, death projections of the top cancer killers due to demographic changes and the AAPC in death rates. All cancer sites shown have at least 25,000 cases projected in 2020 or 2030.

Close modal

By 2030 thyroid, melanoma, and uterine cancers are projected to surpass colorectal cancer to become the fourth, fifth, and sixth highest in absolute cases, respectively (Table 1 and Fig. 1A). Colorectal cancer is exceptional in that it is the only cancer site expected to decrease in incidence and absolute cases from 2010 to 2030 (Fig. 1A). Thyroid cancer is notable in that it is increasing dramatically in both men (5.4% AAPC) and women (6.5% AAPC). Melanoma incidences are increasing by an average of 2.4% per year in men and 1.7% per year in women, and uterine cancer shows a substantial 2.9% average increase in incidence per year. Liver cancer also shows a remarkable 3.7% AAPC in incidence rate increase in men and 2.9% in women, and is projected to become the 11th most frequent cancer diagnosis in 2030 with an estimated 83,000 cases. When the AAPCs in incidence rate from a 10-year time span (2001–2010) are used, breast, prostate, lung, thyroid, and melanoma remain the top cancer diagnoses projected for 2030 with lung cancer exceeding prostate cancer (Supplemental Table S1 and Fig. S1A).

### Cancer-related deaths

Projected cancer-related deaths based on changing demographics and AAPC in cancer-related death rate for the most common and the most deadly cancers are reported in Table 2. In 2010 (Table 2), and estimated for 2014 (1), lung, prostate, and colorectal cancers were the top cancer killers in men, with breast substituting for prostate as the second leading cancer killer in women. By 2030, the leading causes of cancer-related death are projected to be lung, liver, and pancreas for men, and lung, breast, and pancreas for women. Death projections for the top cancers killers in both males and females combined are shown in Table 2 and Fig. 1B. For these origin-specific cancers, the total deaths for both sexes are projected to decrease for breast, colorectal, and prostate cancers, whereas deaths from pancreas, liver, leukemia, and bladder are projected to increase. Deaths from lung cancer are projected to decrease in males but increase in females throughout the 20-year time period, but lung cancer will remain the number one cancer killer throughout the entire time period. Total deaths due to pancreas cancer are projected to increase dramatically to become the second leading cause of cancer-related deaths before 2030. Deaths from liver cancer will also increase dramatically so that liver cancer is projected to become the third leading cause of cancer-related deaths by 2030. Using AAPC in death rates from a 10-year time span (2001–2010) results in pancreas and colorectal cancer causing an equivalent number of deaths in 2020 and the same ranking of lung, pancreas, and liver cancers as the top cancer killers in 2030 (Supplementary Table S2 and Fig. S1B).

Table 2.

Projected deaths based on demographic and annual percentage change in death rates

MenWomenAll
Cancer siteAAPCa# of DeathscAAPCa# of Deathsc# of Deathsc
All
2010 −1.8 309,000 −1.4 280,902 589,902
2020  326,000  289,000 615,000
2030  327,000  293,000 620,000
2010 NS 10,428 −0.4 4,302 14,730
2020  13,000  5,000 18,000
2030  16,000  6,000 22,000
Brain and other CNS
2010 NS 7,977 −0.9 6,187 14,164
2020  9,000  7,000 16,000
2030  11,000  7,000 17,000
Breast
2010   −1.9 40,996 40,996
2020    39,000 39,000
2030    37,000 37,000
Colon and rectum
2010 −2.5 27,073 −2.9 24,972 52,045
2020  27,000  23,000 49,000
2030  26,000  21,000 47,000
Esophagus
2010 NS 11,416 −1.5 3,074 14,490
2020  14,000  3,000 17,000
2030  14,000  3,000 17,000
Kidney and renal pelvis
2010 −0.9 8,436 −0.9 4,783 13,219
2020  10,000  5,000 15,000
2030  10,000  6,000 16,000
Leukemia
2010 −0.9 11,060 −1.3 8,274 19,334
2020  12,000  8,000 20,000
2030  14,000  9,000 22,000
Liver and intrahepatic bile
2010 2.5 13,657 1.6 6,647 20,304
2020  22,000  10,000 33,000
2030  36,000  15,000 51,000
Lung and bronchus
2010 −2.9 87,698 −1.4 70,550 158,248
2020  85,000  76,000 161,000
2030  78,000  78,000 156,000
Melanomab
2010 0.3 6,002 −0.5 3,152 9,154
2020  7,000  3,000 10,000
2030  8,000  3,000 12,000
Non-Hodgkin lymphoma
2010 −2.6 11,047 −3.2 9,247 20,294
2020  10,000  8,000 18,000
2030  10,000  7,000 17,000
Oral cavity and pharynx
2010 −1.2 5,815 −0.9 2,659 8,474
2020  6,000  3,000 9,000
2030  6,000  3,000 9,000
Ovary
2010   −1.9 14,572 14,572
2020    14,000 14,000
2030    14,000 14,000
Pancreas
2010 0.5 18,699 0.5 18,189 36,888
2020  25,000  24,000 48,000
2030  32,000  31,000 63,000
Prostate
2010 −3.1 28,560   28,560
2020  28,000   28,000
2030  24,000   24,000
Thyroidb
2010 1.22 723 0.5 963 1,686
2020  900  1,000 2,000
2030  1,000  1,000 2,000
Uterine corpus
2010   0.4 8,402 8,402
2020    10,000 10,000
2030    12,000 12,000
MenWomenAll
Cancer siteAAPCa# of DeathscAAPCa# of Deathsc# of Deathsc
All
2010 −1.8 309,000 −1.4 280,902 589,902
2020  326,000  289,000 615,000
2030  327,000  293,000 620,000
2010 NS 10,428 −0.4 4,302 14,730
2020  13,000  5,000 18,000
2030  16,000  6,000 22,000
Brain and other CNS
2010 NS 7,977 −0.9 6,187 14,164
2020  9,000  7,000 16,000
2030  11,000  7,000 17,000
Breast
2010   −1.9 40,996 40,996
2020    39,000 39,000
2030    37,000 37,000
Colon and rectum
2010 −2.5 27,073 −2.9 24,972 52,045
2020  27,000  23,000 49,000
2030  26,000  21,000 47,000
Esophagus
2010 NS 11,416 −1.5 3,074 14,490
2020  14,000  3,000 17,000
2030  14,000  3,000 17,000
Kidney and renal pelvis
2010 −0.9 8,436 −0.9 4,783 13,219
2020  10,000  5,000 15,000
2030  10,000  6,000 16,000
Leukemia
2010 −0.9 11,060 −1.3 8,274 19,334
2020  12,000  8,000 20,000
2030  14,000  9,000 22,000
Liver and intrahepatic bile
2010 2.5 13,657 1.6 6,647 20,304
2020  22,000  10,000 33,000
2030  36,000  15,000 51,000
Lung and bronchus
2010 −2.9 87,698 −1.4 70,550 158,248
2020  85,000  76,000 161,000
2030  78,000  78,000 156,000
Melanomab
2010 0.3 6,002 −0.5 3,152 9,154
2020  7,000  3,000 10,000
2030  8,000  3,000 12,000
Non-Hodgkin lymphoma
2010 −2.6 11,047 −3.2 9,247 20,294
2020  10,000  8,000 18,000
2030  10,000  7,000 17,000
Oral cavity and pharynx
2010 −1.2 5,815 −0.9 2,659 8,474
2020  6,000  3,000 9,000
2030  6,000  3,000 9,000
Ovary
2010   −1.9 14,572 14,572
2020    14,000 14,000
2030    14,000 14,000
Pancreas
2010 0.5 18,699 0.5 18,189 36,888
2020  25,000  24,000 48,000
2030  32,000  31,000 63,000
Prostate
2010 −3.1 28,560   28,560
2020  28,000   28,000
2030  24,000   24,000
Thyroidb
2010 1.22 723 0.5 963 1,686
2020  900  1,000 2,000
2030  1,000  1,000 2,000
Uterine corpus
2010   0.4 8,402 8,402
2020    10,000 10,000
2030    12,000 12,000

Abbreviation: NS, nonsignificant.

aEdwards et al. (ref. 5, Table 2).

bThe AAPCs for thyroid cancer–related death rates for males and females, and for melanoma cancer–related death rates for females, were calculated using the (SEER) Program SEER*Stat Database: Mortality - All COD, Aggregated With State, Total U.S. (1969–2010) and Joinpoint Regression program was used (version, 4.0.4, accessed, December 2013) with maximum 5 joinpoint using the 1975–2010 mortality data.

c2010 deaths were generated from SEER*Stat. Projected deaths for 2020 and 2030 >1,000 are rounded to the nearest 1,000; deaths <1,000 are rounded to the nearest 100. Projections for 2020 and 2030 were calculated using 2010 unrounded deaths generated from SEER*Stat.

It should be noted that the AAPC in both incidence and death rates from 2006 to 2010 was assumed to remain constant through 2030. Changes in treatment strategies have the potential to alter the death rate, and changes in screening or prevention strategies can alter both the incidence and death rates. Along these lines, it is noted that any changes in the demographics of the population measured in the SEER database from 2006 to 2010 may be incorporated in both the demographic adjustment and the AAPC adjustment, resulting in an overestimate of the projected number of cases or number of deaths. However, it should be realized that decreases in both incidence and death rates for several cancer types were observed, despite the increases in the number of individuals 65 years of age and older and the minority distribution. This suggests that factors specific to cancer prevention and treatment are the overriding contributors to the AAPC values, and that combining demographic changes with changes in incidence and death rates changes provides a reasonable estimate of the projected number of cases and deaths. Also note that demographic changes, but not changes in the incidence rate, were considered when projecting the number of deaths. This results in a probable underestimation of the number of deaths for those cancers with large positive AAPCs in incidence rate (thyroid, liver, melanoma, and pancreas), but prevents the overestimation caused by incidence trends that are incorporated in death-rate trends. If AAPC in incidence rates is considered in projecting cancer-related deaths, the increase in pancreas and liver cancers is even more pronounced (ref. 7 and data not shown).

### Changes in the ranking of site-specific cancers

The decrease in colorectal cancer, falling from the top four in incidence and top two in deaths, seems to be primarily the result of advances in colorectal cancer screening (8). Colorectal cancer incidence rates have declined since the mid 1980s, and randomized clinical trials demonstrated that fecal occult-blood screening is effective in decreasing incidence of colorectal cancer (9). Using mathematical modeling, Edwards and colleagues concluded that the decline observed in colorectal cancer–related death rates is consistent with a major contribution from screening, with smaller contributions from risk factor reduction and improved treatments (10). Colonoscopy was recommended as a screening test in 1997 and rates of colorectal cancer screening continued to increase through the 2000s, supporting the further decline in colorectal cancer incidence and mortality as a result of screening advances (10).

The dramatic increase in the number of thyroid cancer cases has been explored with the conclusion that this is not an epidemic of disease but a consequence of increased diagnosis, particularly in women (11–13). This conclusion is reached, in part, because of the lack of an increase in thyroid cancer–related deaths. Thyroid cancer, which is generally treated by surgical resection, has an overall 98% 5-year survival rate (1). The 2% of cases that succumb to thyroid cancer are primarily rare and highly aggressive subsets, including diagnoses of anaplastic and medullary thyroid cancer (12). In a 2007 lecture, Heller concluded that what was needed was not better detection of occult disease, but a means to distinguish those patients who may not need treatment at all from those who will almost certainly do poorly (12). His call to the research community was for a better understanding of the molecular and genetic basis that characterizes high-risk thyroid cancer, and an improvement in the treatment of advanced and aggressive disease. The call to healthcare professionals was to refocus their efforts on identifying and curing those few patients whose disease is likely to shorten their lives. As the trend is anticipated to continue into the next decades, there is even more need to prepare for the onslaught of diagnoses and to increase efforts in risk stratification to ensure appropriate therapeutic response.

The dramatic increase in the anticipated number of deaths due to cancer of the pancreas and liver is a wake-up call to the research and healthcare systems in the United States. Although there will be only an estimated 33,000 new cases of liver and intrahepatic bile duct cancer in the United States in 2014 (1), hepatocellular carcinoma (the most common type of liver cancer) is the most frequent solid tumor worldwide and the third leading cause of global cancer-related deaths (14). Current treatment strategies for hepatocellular carcinoma are limited, with surgery and a single approved drug, sorafenib, as options (15). Pancreas cancer has the lowest 5-year relative survival rate of those cancers reported by the American Cancer Society, at 6% (1). Surgery is the only potentially curative option for pancreatic cancer, but less than 20% of patients are eligible for surgical resection (16). Treatments for metastatic pancreatic cancer are minimally effective, and the most recent clinical trial leading to a drug approval extended median overall survival to 8.5 months (17). A detailed examination of the death rate trends for pancreatic cancer since 1970 revealed complex patterns that are largely unexplained by known risk factors (18). If we want to change the death rate for these diseases, it is necessary to increase the investment in understanding them and identifying early detection strategies and therapeutic targets that can be translated and tested in clinical trials. Given the extensive process required to validate an early detection biomarker for clinical use (19) and the estimated 7.9 years required for clinical testing and approval of a new cancer therapy (20), there is clearly a need to invest in basic, translational, and clinical research now to be prepared for the dramatic increase expected in the next 10 to 20 years.

Attention has been called to the projected top three cancer killers in 2030: lung, pancreatic, and liver cancer, through the Recalcitrant Cancer Research Act signed into law by President Obama in January 2013 (21). Recalcitrant cancers, which are defined as those that have 5-year relative survival rates below 50%, include cancers of the pancreas (6%), lung (16.6%), liver (18%), esophagus (19%), stomach (29%), brain (35%), ovary (44%), and multiple myeloma (45%; ref. 22). The Act directs the NCI to develop strategic plans, referred to as scientific frameworks, for pancreatic and lung cancers and other recalcitrant cancers at the director's discretion. The scientific framework for pancreatic ductal adenocarcinoma was recently released and includes four specific recommendations with initial plans for their implementation (23). These initiatives include basic, translational, and clinical approaches to improving early detection and treatment of pancreatic adenocarcinoma. The scientific framework for small-cell lung cancer is expected by July 2014.

The Recalcitrant Cancer Research Act, passed with the support of several patient advocacy groups, lays the foundation for a more focused and organized effort from the research community in identifying and preparing for the cancers that claim the most lives. The predictions arising from this report indicate that an even more vigorous approach should be pursued, integrating the research, health care, and advocacy communities. Efforts at improving treatments for advanced or aggressive cancers will improve survival rates in the short term with the hope of an eventual improvement in mortality rates. Efforts toward improved detection with subsequent elimination of premalignant conditions or preventive strategies will decrease both the incidence and the number of deaths from these diseases. A concerted effort from all stakeholders—scientists, clinicians, and the public—will have the greatest chance of altering the predictions arising from this work and substantially improving the future for those to be diagnosed with the deadliest cancers.

B.D. Smith received commercial research grant from Varian Medical Systems. No potential conflicts of interest were disclosed by the other authors.

The authors or their immediate families have been affected by a diagnosis of breast, lung, ovarian, pancreatic, prostate, and thyroid cancers, and deaths from lung, pancreatic, and ovarian cancer.

Conception and design: B.D. Smith, R. Aizenberg, L.M. Matrisian

Development of methodology: L. Rahib, B.D. Smith, L.M. Matrisian

Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): L. Rahib

Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): L. Rahib, R. Aizenberg, A.B. Rosenzweig, L.M. Matrisian

Writing, review, and/or revision of the manuscript: L. Rahib, B.D. Smith, R. Aizenberg, A.B. Rosenzweig, J.M. Fleshman, L.M. Matrisian

Study supervision: L.M. Matrisian

This study was supported by the Pancreatic Cancer Action Network.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

1.
Siegel
R
,
Ma
J
,
Zou
Z
,
Jemal
A
.
Cancer Statistics, 2014
.
CA Cancer J Clin
2014
;
64
:
9
29
.
2.
National Cancer Institute Funded Research Portfolio (NFRP)
[Internet]
.
Bethesda (MD)
:
National Cancer Institute
;
[cited 2014 April 4]. Available from
: http://fundedresearch.cancer.gov.
3.
Smith
BD
,
Smith
GL
,
Hurria
A
,
Hortobagyi
GN
,
Buchholz
TA
.
Future of cancer incidence in the United States: burdens upon an aging, changing nation
.
J Clin Oncol
2009
;
27
:
2758
65
.
4.
Jemal
A
,
Simard
EP
,
Dorell
C
,
Noone
AM
,
Markowitz
LE
,
Kohler
B
, et al
Annual Report to the Nation on the Status of Cancer, 1975–2009, featuring the burden and trends in human papillomavirus(HPV)-associated cancers and HPV vaccination coverage levels
.
J Natl Cancer Inst
2013
;
105
:
175
201
.
5.
Edwards
BK
,
Noone
AM
,
Mariotto
AB
,
Simard
EP
,
Boscoe
FP
,
Henley
SJ
, et al
Annual Report to the Nation on the status of cancer, 1975–2010, featuring prevalence of comorbidity and impact on survival among persons with lung, colorectal, breast, or prostate cancer
.
Cancer
2013 Dec 16
.
.
6.
Surveillance, Epidemiology, and End Results (SEER)
Program
(www.seer.cancer.gov)
SEER*Stat Database: Mortality - All COD, Aggregated With State, Total U.S. (1969–2010) <Katrina/Rita Population Adjustment>, National Cancer Institute, DCCPS, Surveillance Research Program, Surveillance Systems Branch, released April 2013. Underlying mortality data provided by NCHS
(www.cdc.gov/nchs).
7.
Matrisian
LM
,
Aizenberg
R
,
Rosenzweig
A
.
The alarming rise of pancreatic cancer deaths in the United States: why we need to stem the tide today
.
Pancreatic Cancer Action Network
.
Manhattan Beach, CA
:
Pancreatic Cancer Action Network
;
2012
.
Available from
: http://www.pancan.org/section_research/reports/pdf/incidence_report_2012.pdf
8.
Zauber
AG
,
Lansdorp-Vogelaar
I
,
Knudsen
AB
,
Wilschut
J
,
van Ballegooijen
M
,
Kuntz
KM
.
Evaluating test strategies for colorectal cancer screening: a decision analysis for the U.S. Preventive Services Task Force
.
Ann Intern Med
2008
;
149
:
659
69
.
9.
Mandel
JS
,
Church
TR
,
Bond
JH
,
Ederer
F
,
Geisser
MS
,
Mongin
SJ
, et al
The effect of fecal occult-blood screening on the incidence of colorectal cancer
.
N Engl J Med
2000
;
343
:
1603
7
.
10.
Edwards
BK
,
Ward
E
,
Kohler
BA
,
Eheman
C
,
Zauber
AG
,
Anderson
RN
, et al
Annual report to the nation on the status of cancer, 1975–2006, featuring colorectal cancer trends and impact of interventions (risk factors, screening, and treatment) to reduce future rates
.
Cancer
2010
;
116
:
544
73
.
11.
Davies
L
,
Welch
H
.
Current thyroid cancer trends in the United States
.
2014 Feb 20
.
.
12.
Heller
KS
.
Do all cancers need to be treated? the role of thyroglobulin in the management of thyroid cancer: The 2006 hayes martin lecture
.
2007
;
133
:
639
43
.
13.
Welch
HG
,
Black
WC
.
Overdiagnosis in Cancer
.
J Natl Cancer Inst
2010
;
102
:
605
13
.
14.
Bosch
FX
,
Ribes
J
,
Diaz
M
,
Cleries
R
.
Primary liver cancer: worldwide incidence and trends
.
Gastroenterology
2004
;
127
(
5 Suppl 1
):
S5
16
.
15.
Bruix
J
,
Sherman
M
,
American Association for the Study of Liver D. Management of hepatocellular carcinoma: an update
.
Hepatology
2011
;
53
:
1020
2
.
16.
Spanknebel
K
,
Conlon
KC
.
Advances in the surgical management of pancreatic cancer
.
Cancer J
2001
;
7
:
312
23
.
17.
Von Hoff
DD
,
Ervin
T
,
Arena
FP
,
Chiorean
EG
,
Infante
J
,
Moore
M
, et al
Increased survival in pancreatic cancer with nab-paclitaxel plus gemcitabine
.
N Engl J Med
2013
;
369
:
1691
703
.
18.
Ma
J
,
Siegel
R
,
Jemal
A
.
Pancreatic cancer death rates by race among US men and women, 1970–2009
.
J Natl Cancer Inst
2013
;
105
:
1694
700
.
19.
Srivastava
S
,
Gray
JW
,
Reid
BJ
,
O
,
Greenwood
A
,
Hawk
ET
, et al
Translational Research Working Group developmental pathway for biospecimen-based assessment modalities
.
Clin Cancer Res
2008
;
14
:
5672
7
.
20.
Kaitin
KI
.
Deconstructing the drug development process: the new face of innovation
.
Clin Pharmacol Ther
2010
;
87
:
356
61
.
21.
Scientific framework for recalcitrant cancers 2013
. In:
One Hundred Twelfth Congress of the United States of America; 2012 Jan 3
;
Washington, DC
.
HR 4310-13:1083. Available from
: http://www.gpo.gov/fdsys/pkg/BILLS-112hr4310enr/pdf/BILLS-112hr4310enr.pdf.
[cited 2014 April 4]
.
22.
.
Pancreatic Cancer Action Network
.
Available from