Abstract
Cancer is a leading cause of death in Latin America and the Caribbean (LAC), and up-to-date estimates are essential to guide cancer policy. Using GLOBOCAN 2022 data, we analyzed cancer incidence and mortality across 32 LAC countries, calculated age-standardized rates, and assessed early-onset cancer (diagnosed at ages 15–50 years). Mortality-to-incidence ratios were used as a proxy for survival, joinpoint regression estimated annual percent change, and linear regression evaluated correlation between the Human Development Index and cancer indicators. In 2022, LAC recorded 1,551,060 new cancer cases (age-standardized incidence rate, 186.6 per 100,000) and 749,242 deaths (age-standardized mortality rate, 85.2 per 100,000). Prostate and breast cancers were the most common malignancies, whereas lung and breast cancers caused the highest mortality. Mortality declined for prostate cancer [annual percent change, −1.52; 95% confidence interval (CI), −1.80 to −1.24] and male lung cancer (−2.50; 95% CI, −2.68 to −2.33) but increased for female lung (+1.88; 95% CI, 1.71–2.05) and colorectal cancer (+2.48; 95% CI, 2.30–2.67). Human Development Index showed an inverse correlation with mortality-to-incidence ratio (P < 0.001), suggesting improved survival with higher development. Early-onset cancers represented 17% of new cases and 11% of deaths. These findings reveal a growing cancer burden and that persistent disparities in cancer epidemiology persist across LAC, highlighting the urgent need for targeted cancer control strategies and regional cancer control plans.
Significance:
These findings highlight the urgent need for equity-focused cancer control policies, improved early detection, and expanded access to essential cancer care in the region.
Introduction
Cancer remains a critical challenge for global health systems, primarily driven by aging populations, increasing exposure to cancer risk factors, and enduring inequities in healthcare access (1). Worldwide, it is responsible for approximately 10 million deaths annually, with nearly 65% occurring in low- and middle-income countries (2). This geographic imbalance highlights a pressing public health paradox: the most significant cancer burden is carried by regions least equipped to manage it effectively. Despite substantial advancements in cancer prevention, early detection, and treatment modalities, disparities persist (3). In fact, cancer control strategies across Latin America and the Caribbean (LAC) were found to vary widely in their design and implementation, with persistent gaps in screening coverage, vaccination uptake, and equitable access to treatment services (4).
In LAC, the cancer landscape is complex and evolving rapidly, shaped by demographic shifts, urbanization, changing lifestyles, and enduring socioeconomic disparities (5). The region, home to more than 650 million people, about 8.4% of the global population, includes two of the 10 most populous nations, Brazil and Mexico. Since the 1960s, population growth has slowed steadily, with a growth rate of 0.9% in 2020, reflecting a demographic transition marked by declining fertility and increased longevity. Life expectancy at birth increased from 50 years in the early 1950s to 76 years in 2020 and is expected to continue climbing. The proportion of the population aged 65 years and older has more than doubled since 1980 and is projected to reach 20% by 2050 and 30% by the end of the century. These changes are especially pronounced among women, who significantly outnumber men in older age groups (128 women per 100 men aged 65 years and over and 157 per 100 among those 80 years of age and older; refs. 6–8). The anticipated demographic transitions heighten the urgency for comprehensive regional strategies to manage this growing burden effectively (9, 10).
This work comprehensively assesses the current cancer burden in LAC. It analyzes recent epidemiologic data, evaluates early-onset cancer trends, and projects future cancer incidence and mortality. Additionally, we aim to identify gaps in cancer care delivery and infrastructure and propose strategic recommendations for mitigating the anticipated increase in the cancer burden.
Materials and Methods
Study overview
This population-based analysis aimed to provide updated estimates of the cancer mortality and early-onset disease burden (defined as those diagnosed between the ages of 15 and 50 years) within LAC. Cancer incidence and mortality data were extracted from the publicly available GLOBOCAN 2022 database maintained by the International Agency for Research on Cancer (11, 12). The analysis comprised 32 countries from the LAC region, allowing for comprehensive regional assessments and cross-country comparisons. Data from the United States were included exclusively for contextual comparison given its comprehensive cancer registry coverage.
Population-specific estimates and demographic projections were obtained from the United Nations (UN) World Population Prospects 2019 forecasts to support age-specific analyses (13). These data were stratified into 5-year age groups within the defined range (15–49 years) to evaluate early-onset cancer patterns properly. Age standardization of incidence and mortality rates was conducted per 100,000 person-years using the Segi–Doll World Standard Population to enable comparability across different global populations and eliminate age-related confounding effects.
The included countries’ development levels were assessed using the Human Development Index (HDI), which integrates life expectancy, education, and gross national income indicators and allows categorization into four tiers (low, medium, high, and very high). This categorization facilitated the assessment of potential associations between cancer burden and country-level socioeconomic development. Additionally, all analyses were stratified by sex to account for sex-specific differences in cancer incidence and mortality.
Statistical analysis
Estimates included new cancer cases, deaths, and corresponding age-standardized rates per 100,000 person-years, specifically the age-standardized rates of incidence and mortality in 2022 were calculated, stratified by sex and country for all cancers combined and by individual cancer as well (14).
Future trend analysis (1990–2022) was conducted for all ages and early-onset cancers (15–49 years) using integrated UN demographic forecasts with observed age-specific cancer incidence and mortality rates from 2022. Projections for the year 2050 were calculated under the assumption that the age-specific incidence and mortality rates observed in 2022 would remain unchanged. Therefore, projected changes in cases and deaths reflect demographic changes alone, including population growth and aging. To further evaluate cancer outcomes with regard to diagnosis rates, we calculated each country’s mortality-to-incidence ratio (MIR) as a proxy for cancer survival and health system performance.
Additionally, to provide insights into plausible future scenarios beyond demographic effects, we modeled seven hypothetical scenarios that assessed the potential impacts of annual increases or decreases (0%, ±1%, ±2%, and ±3%) in age-specific incidence and mortality rates from 2022 to 2050. These parameters were selected according to previously published modeling approaches (15). Data manipulation and visualization were done using the R packages “dplyr” and “ggplot2.” Finally, past temporal trends until 2022 were analyzed through jointpoint regression, exploring annual percent changes (APC).
Ethical considerations
Ethical approval was not required for this study as it involved publicly available, deidentified secondary data without human subject’s research components. Nevertheless, the study adheres to the ethical guidelines of the Declaration of Helsinki.
Results
Incidence and mortality
In 2022, LAC recorded 1,551,060 new cancer cases. Brazil had the highest number (627,193), followed by Mexico (207,154) and Argentina (133,420; Table 1; Fig. 1). Among men, Brazil reported 319,711 new cases, whereas Argentina had the highest age-standardized incidence rate (ASIR; 322.3 per 100,000). Among women, Brazil also showed the largest absolute incidence (307,482), and Uruguay had the highest ASIR (253.2 per 100,000). The most frequent cancers were prostate (ASIR = 58 per 100,000) and colorectal (ASIR = 18.9 per 100,000) in men and breast (ASIR = 41.7 per 100,000), colorectal (ASIR = 15.2 per 100,000), and cervical (ASIR = 15.1 per 100,000) in women. Breast cancer was the leading malignancy among women in all countries except Bolivia, where cervical cancer predominated (Fig. 2; Table 2).
Table 1.
Absolute counts of cancer cases and deaths, ASIR and ASMR rates, and HDI values, stratified by country and sex across all age groups for the year 2022.
| Country | Male | Female | Total | HDI | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Absolute incidence | ASIR | Absolute mortality | ASMR | Absolute incidence | ASIR | Absolute mortality | ASMR | Absolute incidence | Absolute mortality | Value | |
| Argentina | 65,040 | 231.8 | 36,588 | 123.6 | 68,380 | 208.7 | 33,663 | 88.7 | 133,420 | 70,251 | 0.849 |
| The Bahamas | 477 | 214.4 | 266 | 119.2 | 478 | 177.6 | 286 | 103.3 | 955 | 552 | 0.82 |
| Barbados | 578 | 224.5 | 381 | 124.9 | 542 | 190.7 | 357 | 104.5 | 1,120 | 738 | 0.809 |
| Bolivia | 7,692 | 129.6 | 4,958 | 79.5 | 9,887 | 159.4 | 6,057 | 91.2 | 17,579 | 11,015 | 0.698 |
| Brazil | 319,711 | 240.1 | 146,702 | 107.7 | 307,482 | 197.6 | 132,133 | 79.4 | 627,193 | 278,835 | 0.76 |
| Belize | 188 | 110.1 | 106 | 62.2 | 221 | 118.2 | 105 | 57.2 | 409 | 211 | 0.7 |
| Chile | 32,800 | 221.7 | 16,897 | 107.8 | 27,076 | 165.1 | 14,543 | 77.6 | 59,876 | 31,440 | 0.86 |
| Colombia | 56,224 | 183.3 | 27,816 | 87.6 | 61,396 | 175.3 | 28,903 | 76.9 | 117,620 | 56,719 | 0.758 |
| Costa Rica | 6,808 | 185.5 | 3,246 | 84.9 | 6,517 | 173.5 | 2,826 | 67.6 | 13,325 | 6,072 | 0.806 |
| Cuba | 26,892 | 247.4 | 15,854 | 133.1 | 22,796 | 199.1 | 11,870 | 91.2 | 49,688 | 27,724 | 0.764 |
| Dominican Republic | 10,735 | 186.7 | 6,176 | 100.4 | 9,436 | 150.5 | 5,568 | 85.8 | 20,171 | 11,744 | 0.766 |
| Ecuador | 13,890 | 143.3 | 7,658 | 75.9 | 16,998 | 163.5 | 8,500 | 77.1 | 30,888 | 16,158 | 0.765 |
| El Salvador | 4,205 | 126.5 | 2,290 | 65.1 | 5,594 | 128.4 | 3,002 | 64.6 | 9,799 | 5,292 | 0.674 |
| French Guyana | 341 | 250.5 | 138 | 109.7 | 248 | 163.6 | 95 | 63.6 | 589 | 233 | 0.79 |
| France, Guadeloupe | 1,312 | 340.2 | 533 | 119.4 | 811 | 184.2 | 419 | 73.5 | 2,123 | 952 | 0.86 |
| Guatemala | 7,783 | 119.6 | 4,544 | 68.4 | 10,018 | 124.7 | 5,825 | 73.6 | 17,801 | 10,369 | 0.629 |
| Guyana | 537 | 130.1 | 271 | 64.7 | 688 | 157.7 | 341 | 76.6 | 1,225 | 612 | 0.742 |
| Haiti | 7,028 | 161.3 | 4,595 | 106.2 | 6,832 | 127.8 | 4,419 | 82.6 | 13,860 | 9,014 | 0.552 |
| Honduras | 5,051 | 131.2 | 3,364 | 85.5 | 5,764 | 127.7 | 3,647 | 82.6 | 10,815 | 7,011 | 0.624 |
| Jamaica | 3,713 | 202.5 | 2,423 | 122.9 | 3,787 | 197.4 | 2,209 | 110.6 | 7,500 | 4,632 | 0.706 |
| France, Martinique | 1,175 | 266.9 | 459 | 93.3 | 882 | 189.5 | 427 | 68.5 | 2,057 | 886 | 0.854 |
| Mexico | 95,954 | 141.3 | 46,415 | 66.5 | 111,200 | 141.8 | 49,795 | 61.4 | 207,154 | 96,210 | 0.781 |
| Nicaragua | 3,763 | 136.4 | 2,306 | 84.0 | 4,646 | 133.7 | 2,516 | 72.2 | 8,409 | 4,822 | 0.669 |
| Panama | 4,156 | 158.3 | 1,963 | 71.0 | 4,197 | 154.3 | 1,807 | 61.9 | 8,353 | 3,770 | 0.82 |
| Paraguay | 6,966 | 199.8 | 3,532 | 99.8 | 6,817 | 187.6 | 3,049 | 81.8 | 13,783 | 6,581 | 0.731 |
| Peru | 33,724 | 164.6 | 16,790 | 79.8 | 39,103 | 185.7 | 19,144 | 86.2 | 72,827 | 35,934 | 0.762 |
| Puerto Rico | 7,486 | 266.6 | 3,212 | 96.1 | 6,292 | 199.7 | 2,584 | 59.9 | 13,778 | 5,796 | N/A |
| Saint Lucia | 265 | 199.3 | 132 | 89.5 | 183 | 136.6 | 91 | 63.4 | 448 | 223 | 0.725 |
| Suriname | 571 | 195.0 | 340 | 114.8 | 548 | 154.8 | 286 | 76.1 | 1,119 | 626 | 0.69 |
| Trinidad and Tobago | 1,969 | 195.5 | 1,169 | 109.1 | 1,962 | 182.1 | 1,052 | 89.1 | 3,931 | 2,221 | 0.814 |
| Uruguay | 8,579 | 322.3 | 4,920 | 168.1 | 8,238 | 253.2 | 4,060 | 101.4 | 16,817 | 8,980 | 0.83 |
| Venezuela | 31,374 | 201.6 | 16,346 | 104.6 | 31,573 | 174.5 | 15,391 | 82.5 | 62,947 | 31,737 | 0.699 |
Figure 1.
ASIR and ASMR in 2022 for all ages and countries. A, LAC map of ASIR for both sexes. B, LAC map of ASMR for both sexes. C, Bar plot of ASIR stratified by sex and country. D, Bar plot of ASMR stratified by sex and country.
Figure 2.
Cancer types by ASIR and ASMR in 2022 across all age groups. A, Bar plot of ASIR stratified by sex and cancer type. B, Sex-stratified maps of LAC showing the most common incidence sites by country. C, Bar plot of ASMR stratified by sex and cancer type. D, Sex-stratified maps of LAC showing the most common mortality sites by country.
Table 2.
Absolute counts of cases and deaths with corresponding ASIR and ASMR rates, stratified by cancer type and sex across all age groups, for the year 2022.
| Cancer type | ICD | Male | Female | Total | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Absolute incidence | ASIR | Absolute mortality | ASMR | Absolute incidence | ASIR | Absolute mortality | ASMR | Absolute incidence | Absolute mortality | ||
| Lip, oral cavity | C00-06 | 13,098 | 3.5 | 5,697 | 1.5 | 6,153 | 1.3 | 2,625 | 0.51 | 19,251 | 8,322 |
| Salivary glands | C07-08 | 2,549 | 0.67 | 881 | 0.22 | 1,870 | 0.41 | 548 | 0.11 | 4,419 | 1,429 |
| Oropharynx | C09-10 | 7,766 | 2.1 | 4,368 | 1.2 | 1,726 | 0.38 | 925 | 0.19 | 9,492 | 5,293 |
| Nasopharynx | C11 | 1,577 | 0.43 | 899 | 0.24 | 636 | 0.15 | 358 | 0.08 | 2,213 | 1,257 |
| Hypopharynx | C12-13 | 2,139 | 0.57 | 949 | 0.25 | 361 | 0.08 | 143 | 0.03 | 2,500 | 1,092 |
| Esophagus | C15 | 15,454 | 4.0 | 14,430 | 3.8 | 4,861 | 0.98 | 4,417 | 0.88 | 20,315 | 18,847 |
| Stomach | C16 | 45,056 | 11.5 | 35,027 | 8.9 | 29,201 | 6.0 | 22,776 | 4.6 | 74,257 | 57,803 |
| Colorectum | C18-C21 | 72,752 | 18.9 | 36,956 | 9.3 | 72,017 | 15.2 | 36,490 | 7.3 | 144,769 | 73,446 |
| Liver and intrahepatic bile ducts | C22 | 22,889 | 5.9 | 21,059 | 5.4 | 19,775 | 4.1 | 18,200 | 3.7 | 42,664 | 39,259 |
| Gallbladder | C23 | 2,988 | 0.76 | 2,105 | 0.53 | 7,437 | 1.6 | 4,938 | 1.0 | 10,425 | 7,043 |
| Pancreas | C25 | 20,180 | 5.2 | 18,827 | 4.8 | 20,764 | 4.2 | 19,413 | 3.9 | 40,944 | 38,240 |
| Larynx | C32 | 14,270 | 3.8 | 9,006 | 2.4 | 2,980 | 0.65 | 1,424 | 0.29 | 17,250 | 10,430 |
| Trachea, bronchus, and lung | C33-34 | 61,777 | 15.8 | 53,311 | 13.5 | 43,175 | 9.2 | 37,239 | 7.8 | 104,952 | 90,550 |
| Melanoma of skin | C43 | 10,679 | 2.8 | 3,280 | 0.83 | 9,599 | 2.2 | 2,560 | 0.51 | 20,278 | 5,840 |
| Nonmelanoma skin cancer | C44 | 43,182 | 10.6 | 4,589 | 1.1 | 29,643 | 5.4 | 3,484 | 0.57 | 72,825 | 8,073 |
| Mesothelioma | C45 | 767 | 0.20 | 710 | 0.18 | 441 | 0.10 | 399 | 0.09 | 1,208 | 1,109 |
| Kaposi sarcoma | C46 | 2,387 | 0.63 | 452 | 0.12 | 426 | 0.10 | 98 | 0.02 | 2,813 | 550 |
| Breast | C50 | — | — | — | — | 219,684 | 52.0 | 59,701 | 13.2 | 219,684 | 59,701 |
| Vulva | C51 | — | — | — | — | 3,647 | 0.75 | 1,359 | 0.25 | 3,647 | 1,359 |
| Vagina | C52 | — | — | — | — | 1,615 | 0.36 | 572 | 0.12 | 1,615 | 572 |
| Cervix uteri | C53 | — | — | — | — | 63,056 | 15.1 | 33,443 | 7.7 | 63,056 | 33,443 |
| Corpus uteri | C54 | — | — | — | — | 34,612 | 8.1 | 9,250 | 2.0 | 34,612 | 9,250 |
| Ovary | C56 | — | — | — | — | 24,031 | 5.7 | 15,881 | 3.6 | 24,031 | 15,881 |
| Penis | C60 | 5,185 | 1.3 | 1,674 | 0.43 | — | — | — | — | 5,185 | 1,674 |
| Prostate | C61 | 225,316 | 58.0 | 60,792 | 13.9 | — | — | — | — | 225,316 | 60,792 |
| Testis | C62 | 13,644 | 3.8 | 2,103 | 0.58 | — | — | — | — | 13,644 | 2,103 |
| Kidney | C64 | 23,032 | 6.2 | 10,066 | 2.6 | 12,851 | 3.0 | 5,594 | 1.2 | 35,883 | 15,660 |
| Bladder | C67 | 25,521 | 6.4 | 9,804 | 2.3 | 10,188 | 2.1 | 4,100 | 0.74 | 35,709 | 13,904 |
| Brain, central nervous system | C70-72 | 14,296 | 4.0 | 11,901 | 3.3 | 12,651 | 3.1 | 10,595 | 2.5 | 26,947 | 22,496 |
| Thyroid | C73 | 11,946 | 3.3 | 1,518 | 0.39 | 51,533 | 13.0 | 3,081 | 0.62 | 63,479 | 4,599 |
| Hodgkin lymphoma | C81 | 5,774 | 1.6 | 1,619 | 0.43 | 4,259 | 1.1 | 1,212 | 0.27 | 10,033 | 2,831 |
| Non–Hodgkin lymphoma | C82-86+C88 | 24,038 | 6.5 | 10,730 | 2.8 | 19,005 | 4.4 | 8,481 | 1.8 | 43,043 | 19,211 |
| Multiple myeloma | C90 | 8,395 | 2.2 | 6,215 | 1.6 | 6,758 | 1.5 | 5,154 | 1.1 | 15,153 | 11,369 |
| Leukemia | C91-95 | 22,504 | 6.5 | 15,670 | 4.3 | 18,421 | 4.8 | 12,942 | 3.1 | 40,925 | 28,612 |
A total of 749,242 cancer deaths occurred in LAC in 2022. Brazil registered the highest number (278,835), followed by Mexico (96,210) and Argentina (70,251). Among men, Brazil had 146,702 deaths, but Uruguay reported the highest age-standardized mortality rate (ASMR; 168.1 per 100,000). Among women, Brazil recorded 132,133 deaths, whereas Jamaica had the highest ASMR (110.6 per 100,000). Prostate cancer was the leading cause of cancer death among men (60,792 deaths; ASMR = 13.9 per 100,000), and breast cancer was the primary cause among women (61,228 deaths; ASMR = 13.2 per 100,000), underscoring its significant burden across LAC (Fig. 3; Table 2).
Figure 3.
HDI and ASMR vs. HDI in 2022. A, Plot displaying the relationship between HDI and ASMR. B, Map of HDI distribution across LAC countries.
The relationship between HDI and cancer indicators in LAC showed contrasting patterns (Fig. 3). Linear regression revealed a significant inverse association between HDI and MIR [β = −0.66; R2 = 0.49; 95% confidence interval (CI) for r = 0.46–0.85; P = 1.6 × 10−5], indicating improved survival outcomes in more developed countries. Conversely, HDI was positively associated with ASMR (β = 344.8; R2 = 0.43; 95% CI for r = 0.15–0.72; P = 7.51 × 10−5), reflecting higher mortality counts likely due to enhanced detection and reporting in higher-HDI settings. The association between HDI and ASIR was not statistically significant (β = 66.2; R2 = 0.09; 95% CI for r = 0.00–0.59; P = 0.115; Supplementary Table S5).
In 2022, the average MIR in LAC was 0.52 in countries with very high HDI, 0.50 in high-HDI countries, and 0.59 in countries with a medium HDI. Among countries with very high HDI, MIRs ranged from 0.40 in French Guiana to 0.53 in Argentina and Uruguay. Haiti and Honduras recorded the highest values at 0.65, followed by Bolivia (0.63), Jamaica (0.62), and Nicaragua (0.57). These data reflect variation in cancer outcomes across the region, with MIR values ranging from 0.40 to 0.66.
Early-onset cancers
In 2022, early-onset cancers (diagnosed between ages 15 and 50 years) accounted for 269,881 cases and 85,695 deaths in LAC. Brazil reported the highest number of early-onset cancer cases (99,616 cases) and deaths (30,036 deaths), followed by Mexico (48,169 cases and 14,649 deaths) and Argentina (22,434 cases and 6,417 deaths; see Supplementary Table S1; Supplementary Fig. S1). Among men and women, the highest ASIR for early-onset cancers was observed in Uruguay (75.5 per 100,000 and 168.9 per 100,000, respectively). The most common early-onset cancers among women were breast cancer (68,971 cases; ASIR = 36.9 per 100,000) and cervical cancer (26,635 cases; ASIR = 14.2 per 100,000). Among men, colorectal cancer (7,962 cases; ASIR = 4.6 per 100,000) and testicular cancer (10,847 cases; ASIR = 6.2 per 100,000) were the most frequently diagnosed (see Supplementary Table S2; Supplementary Fig. S2).
Early-onset colorectal cancer mortality (Supplementary Table S8) increased significantly among men in Chile (APC, 95% CI, 2.52; 1.96–3.08), Colombia (1.72; 1.20–2.26), Costa Rica (1.72; 0.71–2.74), Guatemala (2.63; 1.30–3.98), Mexico (2.56; 2.24–2.89), Paraguay (4.45; 2.59–6.30), and Brazil (1.85; 1.70–2.00). Among women, mortality increased in Chile (2.11; 1.48–2.75), Costa Rica (2.63; 1.72–3.55), Guatemala (2.17; 1.45–2.89), Mexico (1.88; 1.59–2.16), and Paraguay (5.94; 3.72–8.29).
Early-onset lung cancer mortality declined sharply in Chile (APC, −3.96; 95% CI, −4.58 to −3.32), Colombia (−2.93; −3.48 to −2.37), Costa Rica (−2.36; −3.75 to −0.92), Cuba (−3.63; −4.13 to −3.13), Argentina (−5.45; −5.72 to −5.18), Brazil (−2.57; −2.84 to −2.29), and Uruguay (−3.89; −4.74 to −3.02). Among women, decreasing trends were also evident in Chile (−1.45; −1.99 to −0.91), Colombia (−1.73; −2.20 to −1.26), Cuba (−2.78; −3.55 to −1.99), and Argentina (−1.59; −2.05 to −1.12), whereas other countries showed stable or modestly increasing rates. Additionally, in the 15- to 39-year subgroup, breast (women) and testicular (men) cancers were the most incident; thyroid and cervix uteri (women) and leukemia and colorectum (men) followed. Despite lower incidence, cervical cancer accounted for the highest female mortality, whereas leukemia and brain/central nervous system led male mortality (Supplementary Fig. S6).
By 2050, early-onset cancer incidence is projected to increase in lower-HDI countries such as Haiti, Guatemala, and Honduras while remaining relatively stable in higher-HDI countries (Supplementary Table S3; Supplementary Fig. S5). The most significant proportional increases are projected for Haiti, Bolivia, and Guatemala. The number of early-onset cancer cases in LAC is projected to increase from approximately 269,881 cases in 2022 to more than 283,758 cases, representing a net increase of more than 26,000 new cases (+5%).
Past and future trends
Between 1990 and 2022, cancer mortality trends in LAC varied considerably by country, sex, and cancer type (Fig. 4).
Figure 4.
ASMR in LAC countries by cancer type, 1990–2022. A, Prostate cancer in males. B, Breast cancer in females. C, Colorectal cancer in males. D, Colorectal cancer in females. E, Lung cancer in males. F, Lung cancer in females.
Prostate cancer mortality (Table 3) declined significantly in Argentina (APC, −1.52; 95% CI, −1.80 to −1.24), Chile (−1.71; −2.01 to −1.40), and Uruguay (−1.13; −1.43 to −0.82), remained stable in Colombia (−0.42; −0.89 to 0.04) and Costa Rica (−1.36; −1.88 to −0.85), and increased in Guatemala (+3.91; 2.93–4.91) and Mexico (+0.26; 0.09–0.42). In contrast, the United States showed a steeper decline (−2.72; −2.94 to −2.51). Breast cancer mortality among women declined in Uruguay (−1.02; −1.27 to −0.77) and Argentina (−0.92; −1.01 to −0.83), stabilized in Chile (−0.72; −0.85 to −0.59) and Costa Rica (−0.13; −0.42 to 0.16), and increased in Brazil (+0.53; 0.46–0.59), Mexico (+0.55; 0.43–0.67), and Guatemala (+2.63; 2.05–3.21).
Table 3.
APC in cancer mortality (1990–2022) for top three most incident cancer types.
| Country | Male | Female | ||||
|---|---|---|---|---|---|---|
| Prostate | Colorectal | Lung | Breast | Colorectal | Lung | |
| Chile | −1.71 (−2.01 to −1.40) | 1.44 (1.18–1.70) | −1.61 (−1.76 to −1.45) | −0.72 (−0.85 to −0.59) | 0.89 (0.71–1.06) | 1.04 (0.86–1.22) |
| Colombia | −0.42 (−0.89 to 0.04) | 1.41 (1.24–1.57) | −1.49 (−1.84 to −1.15) | 0.86 (0.69–1.03) | 0.96 (0.75–1.17) | −0.64 (−0.97 to −0.31) |
| Costa Rica | −1.36 (−1.88 to −0.85) | 1.27 (0.88–1.66) | −2.75 (−3.19 to −2.29) | −0.13 (−0.42 to 0.16) | 0.63 (0.29–0.97) | −1.61 (−2.09 to −1.13) |
| Cuba | 0.73 (0.55–0.91) | 0.28 (0.04–0.52) | −0.43 (−0.62 to −0.25) | −0.15 (−0.31 to 0.00) | 0.13 (0.00–0.26) | 1.21 (0.94–1.47) |
| Argentina | −1.52 (−1.80 to −1.24) | −0.31 (−0.44 to −0.18) | −2.50 (−2.68 to −2.33) | −0.92 (−1.01 to −0.83) | −0.19 (−0.29 to −0.09) | 1.51 (1.32–1.70) |
| Guatemala | 3.91 (2.93–4.91) | 3.00 (2.22–3.79) | −0.14 (−1.01 to 0.74) | 2.63 (2.05–3.21) | 2.34 (1.80–2.88) | 0.00 (−0.70 to 0.71) |
| Mexico | 0.26 (0.09–0.42) | 2.48 (2.30–2.67) | −3.27 (−3.49 to −3.05) | 0.55 (0.43–0.67) | 1.34 (1.16–1.52) | −1.90 (−2.04 to −1.75) |
| Paraguay | 0.66 (0.11–1.21) | 3.33 (2.71–3.96) | 0.74 (0.23–1.26) | 1.76 (1.32–2.20) | 2.97 (2.33–3.62) | 1.31 (0.46–2.17) |
| Brazil | 0.53 (0.03–1.03) | 1.82 (1.69–1.95) | −0.95 (−1.13 to −0.77) | 0.53 (0.46–0.59) | 1.21 (1.08–1.34) | 1.88 (1.71–2.05) |
| United States of America | −2.72 (−2.94 to −2.51) | −2.12 (−2.21 to −2.02) | −3.27 (−3.49 to −3.05) | −1.99 (−2.06 to −1.92) | −1.94 (−2.03 to −1.84) | −1.63 (−1.95 to −1.31) |
| Uruguay | −1.13 (−1.43 to −0.82) | −0.10 (−0.31 to 0.12) | −1.48 (−1.65 to −1.31) | −1.02 (−1.27 to −0.77) | −0.82 (−1.01 to −0.62) | 3.61 (3.16–4.08) |
Values represent APC and 95% CI in ASMRs (1990–2022). Bold indicates statistical significance (P < 0.05).
Colorectal cancer mortality increased in most LAC countries, especially among men in Mexico (+2.48; 2.30–2.67) and Paraguay (+3.33; 2.71–3.96), whereas Argentina (−0.31; −0.44 to −0.18) and Uruguay (−0.10; −0.31 to 0.12) showed mild decline or stabilization. Among women, increases were noted in Mexico (+1.34; 1.16–1.52) and Paraguay (+2.97; 2.33–3.62), whereas Uruguay (−0.82; −1.01 to −0.62) showed a modest decline. By comparison, the United States reported consistent decreases (men, −2.12; −2.21 to −2.02; women, −1.94; −2.03 to −1.84).
Lung cancer mortality declined significantly among men in Chile (−1.61; −1.76 to −1.45), Argentina (−2.50; −2.68 to −2.33), and Uruguay (−1.48; −1.65 to −1.31), while remaining stable in Costa Rica and Mexico. Among women, mortality increased in nearly all countries, more than doubling in Uruguay (+3.61; 3.16–4.08) and increasing in Argentina (+1.51; 1.32–1.70), Brazil (+1.88; 1.71–2.05), and Chile (+1.04; 0.86–1.22).
Projections for 2050 indicate that the annual number of new cancer cases in LAC will reach approximately 2.9 million, with over 1.5 million cancer-related deaths (Table 4). The total number of new cancer cases is expected to increase from 768,843 in 2022 to 1,506,210 in 2050 among males (a 95.9% increase) and from 782,217 to 1,365,053 among females (a 74.5% increase). Brazil is expected to experience the most significant absolute increases for both sexes. Among men, the incidence is projected to nearly double from 319,711 to 626,225 (96% increase), whereas mortality will increase from 146,702 to 301,873 (106% increase). Among women in Brazil, the incidence is anticipated to grow by 71% (from 307,482–524,722) and mortality by 91% (from 132,133–251,938). Several smaller countries, such as Honduras and The Bahamas, are expected to witness a doubling in incidence and mortality for certain sex-specific groups, reflecting significant proportional increases from lower baseline values. The projected incidence and mortality with regard to each cancer site are displayed on Supplementary Table S6.
Table 4.
Estimated incident cancer cases and deaths for 2022 and projected values for 2050, stratified by country and sex across all ages.
| Region | Male incidence | Female incidence | Male mortality | Female mortality | ||||
|---|---|---|---|---|---|---|---|---|
| 2022 estimated incidence | 2050 projected incidence | 2022 estimated incidence | 2050 projected incidence | 2022 estimated mortality | 2050 projected mortality | 2022 estimated mortality | 2050 projected mortality | |
| Argentina | 65,040 | 117,193 | 68,380 | 102,482 | 36,588 | 69,828 | 33,663 | 54,855 |
| The Bahamas | 477 | 984 | 478 | 975 | 266 | 656 | 286 | 672 |
| Barbados | 578 | 677 | 542 | 639 | 381 | 493 | 357 | 457 |
| Bolivia | 7,692 | 12,384 | 9,887 | 17,196 | 4,958 | 7,546 | 6,057 | 10,408 |
| Brazil | 319,711 | 626,225 | 307,482 | 524,722 | 146,702 | 301,873 | 132,133 | 251,938 |
| Belize | 188 | 458 | 221 | 529 | 106 | 273 | 105 | 284 |
| Chile | 32,800 | 69,969 | 27,076 | 46,522 | 16,897 | 40,016 | 14,543 | 28,102 |
| Colombia | 56,224 | 117,160 | 61,396 | 111,192 | 27,816 | 61,915 | 28,903 | 60,023 |
| Costa Rica | 6,808 | 14,503 | 6,517 | 11,901 | 3,246 | 7,448 | 2,826 | 6,082 |
| Cuba | 26,892 | 36,009 | 22,796 | 29,520 | 15,854 | 24,053 | 11,870 | 17,374 |
| Dominican Republic | 10,735 | 20,421 | 9,436 | 17,020 | 6,176 | 12,915 | 5,568 | 11,123 |
| Ecuador | 13,890 | 32,329 | 16,998 | 35,275 | 7,658 | 19,022 | 8,500 | 19,787 |
| El Salvador | 4,205 | 6,584 | 5,594 | 9,013 | 2,290 | 3,632 | 3,002 | 5,240 |
| French Guyana | 341 | 841 | 248 | 577 | 138 | 447 | 95 | 259 |
| France, Guadeloupe | 1,312 | 1,201 | 811 | 965 | 533 | 689 | 419 | 612 |
| Guatemala | 7,783 | 18,770 | 10,018 | 22,290 | 4,544 | 10,908 | 5,825 | 13,738 |
| Guyana | 537 | 801 | 688 | 1,050 | 271 | 410 | 341 | 552 |
| Haiti | 7,028 | 12,143 | 6,832 | 12,155 | 4,595 | 7,918 | 4,419 | 7,988 |
| Honduras | 5,051 | 12,258 | 5,764 | 12,393 | 3,364 | 7,933 | 3,647 | 8,475 |
| Jamaica | 3,713 | 5,352 | 3,787 | 5,397 | 2,423 | 3,487 | 2,209 | 3,410 |
| France, Martinique | 1,175 | 1,152 | 882 | 965 | 459 | 552 | 427 | 592 |
| Mexico | 95,954 | 193,239 | 111,200 | 199,645 | 46,415 | 101,408 | 49,795 | 102,953 |
| Nicaragua | 3,763 | 9,062 | 4,646 | 9,810 | 2,306 | 5,649 | 2,516 | 5,640 |
| Panama | 4,156 | 9,123 | 4,197 | 8,082 | 1,963 | 4,623 | 1,807 | 3,923 |
| Paraguay | 6,966 | 12,498 | 6,817 | 12,390 | 3,532 | 6,594 | 3,049 | 6,152 |
| Peru | 33,724 | 66,645 | 39,103 | 72,588 | 16,790 | 34,456 | 19,144 | 38,702 |
| Puerto Rico | 7,486 | 9,789 | 6,292 | 7,885 | 3,212 | 4,878 | 2,584 | 3,850 |
| Saint Lucia | 265 | 392 | 183 | 274 | 132 | 197 | 91 | 159 |
| Suriname | 571 | 1,124 | 548 | 972 | 340 | 722 | 286 | 582 |
| Trinidad and Tobago | 1,969 | 3,316 | 1,962 | 3,182 | 1,169 | 2,306 | 1,052 | 1,993 |
| Uruguay | 8,579 | 12,441 | 8,238 | 10,209 | 4,920 | 7,583 | 4,060 | 5,296 |
| Venezuela | 31,374 | 55,950 | 31,573 | 55,597 | 16,346 | 30,434 | 15,391 | 29,003 |
Under a constant-rate scenario (0% annual change), new cancer cases will increase from 768,000 to 1,118,000 among males and from 781,000 to 1,014,000 among females by 2050 (Supplementary Fig. S7). A sustained 2% annual decrease in mortality could prevent approximately 916,000 cancer deaths in males and 821,000 in females by 2050, compared with a +2% growth scenario.
Discussion
This updated assessment of the cancer burden in LAC, based on GLOBOCAN 2022 data, reveals emerging challenges with early-onset cancers and widening disparities in outcomes caused by socioeconomic inequities and epidemiologic transitions. In 2022, the region recorded 1.55 million new cancer cases and 749,000 cancer-related deaths. Prostate and breast cancers were the most frequently diagnosed malignancies among men and women, respectively, whereas lung and breast cancers accounted for the highest mortality rates. Trends in cancer mortality varied by sex, showing a decline in lung cancer mortality among men but increasing rates among women. Projections indicate a substantial increase in the cancer burden by 2050 as observed globally.
Building upon previous GLOBOCAN 2020 estimates, this study offers a more contemporary evaluation of cancer epidemiology in LAC. The 2020 study estimated 1.5 million new cancer cases and 700,000 deaths, with an incidence rate of 186.5 per 100,000 and a mortality rate of 86.6 per 100,000 (16). Although the overall figures remain comparable, our updated data reflect shifts in ASIR and ASMR, particularly in infection- and lifestyle-related cancers. The ongoing decline in mortality from infection-driven cancers, such as cervical and stomach cancers, parallels the increasing incidence of colorectal and breast cancers, aligning with broader epidemiologic transitions in LAC (6). Additionally, our study highlights emerging patterns of early-onset malignancies, an area not previously explored in detail.
Marked disparities in cancer incidence and mortality persist across LAC, reflecting variations in healthcare infrastructure, screening coverage, and treatment availability (17). In our analysis, there was a significant inverse correlation between HDI and MIR (P = 0.008), suggesting better outcomes in more developed countries. For example, breast cancer mortality remains disproportionately high in lower-HDI nations, underscoring gaps in screening programs and access to systemic therapies (18). Similarly, cervical cancer, largely preventable through human papillomavirus (HPV) vaccination and screening, remains a leading cause of death in women from low-resource countries, emphasizing the need for targeted interventions to improve primary and secondary prevention (19).
Distinct sex-specific trends highlight changing cancer patterns. Among men, prostate cancer remains the most diagnosed malignancy, but lung cancer is the leading cause of mortality, reinforcing the long-term impact of historical smoking patterns (20). Notably, countries such as Argentina, Chile, and Uruguay, which have implemented comprehensive tobacco control policies, have experienced significant declines in male lung cancer mortality, with APC values of −2.50, −1.61, and −1.48, respectively (21, 22). In contrast, lung cancer mortality in women continues to increase, particularly in higher-HDI countries. This finding may be partly explained by the increase in tobacco use in this population. However, there could also be a greater predisposition due to ancestry as recent studies suggest that exposure to tiny particles in the air, or fine particular matter (PM2.5), may be responsible for some mutations in nonsmoking women (23, 24). In addition, a predisposition to hormone fluctuations may influence tumor growth in women. Estrogen receptors are found in lung tissue, and experimental studies suggest that estrogen promotes tumor growth (25, 26).
Colorectal cancer incidence and mortality have increased in both sexes. Once considered a disease of older adults, colorectal cancer is now increasingly diagnosed in individuals under 50 years of age. This shift likely reflects changes in diet, escalating obesity rates, and low adherence to screening guidelines and suggests an urgent need to reevaluate age thresholds for screening (27). Dietary transitions toward ultra-processed foods (UPF), sedentary lifestyles, and increasing metabolic disease further exacerbate this risk (28). A World Health Organization/Pan American Health Organization study across 13 LAC countries identified a strong correlation (R2 = 0.76) between UPF consumption and obesity prevalence (29). Brazil, for example, has witnessed parallel increases in UPF intake, obesity, diabetes, and cardiometabolic mortality. Simultaneously, poor adherence to screening protocols delays early detection, reducing the likelihood of curative treatment (30). This convergence of risk factors calls for comprehensive public health interventions, including improved nutrition, physical activity, and expanded access to colorectal cancer screening.
Although prostate and breast cancers were the most diagnosed cancers across nearly all countries in LAC, Bolivia stood out with cervical cancer as the leading malignancy among women. This pattern may reflect differences in the implementation and effectiveness of screening programs and HPV vaccination (31, 32). Indeed, recent analyses show that only 42% of women aged 25 to 65 years in Bolivia were screened for cervical cancer within the previous 3 years, which is below the 70% threshold recommended by the World Health Organization. Across Latin America, more than two thirds of countries also fall short of this benchmark. Cytology remains the most common screening modality, and HPV testing is not yet widely implemented, particularly in low-resource settings (31). These disparities in screening coverage highlight the need for stronger surveillance systems and broader adoption of HPV testing to meet regional elimination targets.
Shifts in the burden of liver cancer in Central America further illustrate the regional variation in cancer patterns. In Central America, liver cancer is a leading cause of cancer death in countries such as Guatemala and Honduras, surpassing lung and prostate cancers. This likely reflects a high burden of chronic liver disease, fueled by hepatitis B and C infections and metabolic dysfunction–associated steatotic liver disease. In Guatemala, hepatitis B virus and hepatitis C virus prevalence rates exceed 1,000 and 3,000 per 100,000, respectively, whereas metabolic dysfunction–associated steatotic liver disease affects more than 18,000 per 100,000 (33). Additionally, exposure to aflatoxin B1, a hepatocarcinogen, has been implicated as a contributing risk factor for chronic liver disease in Guatemala (34). These patterns underscore the need for comprehensive national strategies encompassing viral hepatitis control, liver disease prevention, and environmental toxin mitigation.
Meanwhile, the burden of early-onset cancers in LAC is significant and increasing, particularly in Brazil and Mexico, where the highest absolute number of cases and deaths were observed. Breast cancer is the most common early-onset malignancy in women, whereas in men, colorectal cancer and testicular cancer are predominant. Increasing early-onset colorectal cancer mortality, particularly in Brazil, Mexico, and Argentina, underscores the need for earlier detection strategies and increased awareness of symptoms among younger populations. By 2050, early-onset cancer incidence in LAC is projected to grow by 5%, from 270,000 to more than 283,000 cases, with the most significant proportional increases expected in low-HDI countries such as Haiti, Guatemala, and Bolivia. Public health efforts should prioritize awareness campaigns, symptom recognition (35), and improved access to screening and early intervention services for this population.
Addressing the growing cancer burden also requires confronting systemic barriers to innovation and equitable access to treatment modalities and genetic testing across the region (36). Adoption of precision oncology strategies, including biomarker testing, targeted therapies, and immunotherapy, has been slow and uneven, restricted largely to major urban centers and private sectors (37). In addition, participation in clinical trials remains extremely limited across most LAC countries, with activity concentrated in a few urban academic centers and predominantly within private healthcare systems. This limits not only patient access to innovative therapies but also the generation of region-specific evidence and inclusion in global research efforts. Regulatory hurdles, insufficient research infrastructure, and a shortage of trained clinical researchers further exacerbate this disparity (36).
Beyond access to novel therapies, profound inequities exist in the availability of evidence-based, essential cancer medicines. According to a global survey of oncologists across 82 countries, the proportion of respondents reporting universal availability of the 20 most important cancer medicines was as low as 9% to 54% in low- and lower-middle-income countries (38). In several parts of LAC, even access to basic, life-saving treatments remains inconsistent, particularly in public health systems in which stockouts and supply chain disruptions are common (39). A significant driver of survival disparities is the limited availability of affordable, quality-assured cancer treatments. Although very high HDI countries report MIRs ranging from 0.40 to 0.53, medium-HDI countries such as Haiti, Honduras, Bolivia, and Nicaragua exhibit substantially higher values (0.57–0.65). Therefore, improving the outcomes of patients with cancer in LAC requires urgent and coordinated efforts to strengthen cancer research networks, secure consistent access to essential medicines and diagnostics, and streamline regulatory pathways, transforming cancer care in LAC from a fragmented system of privilege into one that delivers equitable and life-saving care for all.
One of the major limitations of this study lies in the analysis of population-based projections derived from national or population-based cancer registries (40). There is an apparent inequity in the coverage of cancer registries worldwide: high-quality cancer registries cover only 4%, 8%, and 7% of the populations in Africa, Asia, and Latin America, respectively, whereas the equivalent coverage is 83% in North America and 32% in Europe (40, 41). Another limitation is the predominance of cancer epidemiology studies published in Spanish and Portuguese, which restricts their accessibility in major international databases and limits dissemination compared with countries with very high HDI scores (42, 43). Furthermore, although cancer remains a major cause of premature death, it has increasingly become a chronic condition for certain types, particularly in countries approaching very high human development. This shift, driven by earlier diagnosis and improved treatment, highlights the need for registries to report not only incidence and mortality but also survival rates, years of life lost, and years lived with disability after diagnosis (44). Although our analysis does not permit quantification of the proportion of health budgets devoted to cancer prevention, screening, and treatment, a recent regional health financing review highlights large disparities in preventive versus curative care spending across Latin American countries (45).
Additionally, although we modeled seven hypothetical scenarios assessing the potential impacts of annual increases or decreases (0%, ±1%, ±2%, and ±3%) in age-specific incidence and mortality rates, these simulations are speculative and should be interpreted with caution. Given that projections were based on constant-rate demographic assumptions, modest percentage changes are likely within the range of demographic uncertainty and should not be interpreted as meaningful increases. Finally, although the MIR serves as a useful proxy for survival, it remains an imperfect surrogate for capturing differences in stage at diagnosis, access to care, and treatment quality across countries (46).
Conclusion
Our findings underscore the escalating cancer burden in LAC. Although mortality has declined for certain cancers, the continued increase in colorectal, breast, and early-onset cancers signals a growing public health crisis that demands immediate attention. As the region undergoes demographic and epidemiologic transitions, the need for sustained and equity-driven investments in cancer surveillance, prevention, and early detection is critical. Failure to act will result in an overwhelming strain on already fragile health systems. A coordinated regional response that prioritizes health system strengthening, equitable access to essential medicines and diagnostics, and the expansion of cancer research infrastructure is imperative to alter the current trajectory and improve outcomes for future generations.
Supplementary Material
Absolute counts of early-onset cancer cases and deaths, age-standardized incidence (ASIR) and mortality (ASMR) rates, and Human Development Index (HDI) values, stratified by country and gender, 2022.
Table S2. Absolute counts of early-onset cases and deaths with corresponding age-standardized incidence (ASIR) and mortality (ASMR) rates, stratified by cancer type and gender, 2022.
Table S3. Estimated incident early-onset cancer cases and deaths for 2022 and projected values for 2050, stratified by country and sex.
Table S4. Annual Percent Change (APC) in Cancer Mortality (1990–2022) for top 3 most incident early-onset cancers.
Table S5. Linear Regression Between Human Development Index (HDI) and Cancer Burden Indicators (1990–2022)
Table S6. Estimated incident cancer cases and deaths for 2022 and projected values for 2050, stratified by cancer type and sex.
Figure S1. ASIR and ASMR in 2022 for all countries in patients with early-onset cancer.
Figure S2. Cancer types by ASIR and ASMR in 2022 in patients with early-onset cancer.
Figure S3. Projected cases and deaths numbers (per 1,000 persons) under varying global rate-change scenarios in patients with early-onset cancer, 2022–2050.
Figure S4. ASMR in LAC countries by age group and sex. All sites excluding non-melanoma skin cancer, 1990–2022.
Figure S5. ASMR in LAC countries by cancer type in patients with early-onset cancer, 1990–2022.
Figure S6. Bar plots of ASIR and ASMR in 2022 for all countries and cancer types in patients with 15-39 years.
Figure S7. Projected cases and deaths numbers (per 1,000 persons) under varying global rate-change scenarios, 2022–2050.
Acknowledgments
We gratefully acknowledge the International Agency for Research on Cancer for access to GLOBOCAN 2022 data and the UN for demographic projections. We also acknowledge the use of large language model tools to support language editing and grammar correction during the manuscript preparation process. The author(s) received no financial support for this article’s research, authorship, and/or publication.
Footnotes
Note: Supplementary data for this article are available at Cancer Research Communications Online (https://aacrjournals.org/cancerrescommun/).
Data Availability
All data are publicly available through the Global Cancer Observatory and UN World Population Prospects websites. No additional unpublished data are available.
Authors’ Disclosures
A.C. de Melo reports grants from AstraZeneca, Bristol Myers Squibb, GSK, MSD, and Regeneron and personal fees from AstraZeneca, Bristol Myers Squibb, GSK, MSD, Daiichi Sankyo, AbbVie, and Medison outside the submitted work. A.V. Manana reports grants from Janssen and Genentech/Roche and personal fees from AbbVie, AstraZeneca, Boehringer Ingelheim, Bristol Myers Squibb, Daiichi Sankyo, EMD Serono, Janssen, Merus, Novocure, Nuvation Bio, and Regeneron outside the submitted work. A.F. Cardona reports grants from Colombian Association of Hematology and Oncology/American Society of Clinical Oncology, International Association for the Study of Lung Cancer, AstraZeneca, Merck Sharp and Dohme, and Bristol Myers Squibb, personal fees from Roche, Boehringer Ingelheim, Pfizer, Novartis, AstraZeneca, Amgen, Merck Sharp and Dohme, Merck Serono, Eisai, Jannsen, and Teva Pharma, and grants, personal fees, and nonfinancial support from FICMAC outside the submitted work. C. Rolfo reports personal fees from Novocure, AstraZeneca, Imagene, MedStar, Amgen, Boehringer Ingelheim, Hoffmann-La Roche Ltd, Janssen Pharmaceutical, NeoGenomics, Pfizer, and Regeneron and nonfinancial support from Guardant, Foundation One, COR2ED, HPM education IDEOlogy, Merck, Roche, and OneCell Dx outside the submitted work. V.C. Cordeiro de Lima reports personal fees from Roche, Bristol Myers Squibb, MDHealth, MSD, GSK, Eli Lilly and Company, and Casa da Onco and personal fees and nonfinancial support from AstraZeneca, Boehringer Ingelheim, Daiichi Sankyo, Janssen, and Pfizer outside the submitted work, as well as employment of spouse with Bristol Myers Squibb Brazil. No disclosures were reported by the other authors.
Authors’ Contributions
L.F. Leite: Conceptualization, formal analysis, investigation, visualization, writing–original draft, project administration, writing–review and editing. L.D. da Conceição: Conceptualization, data curation, software, formal analysis. E.F. Saldanha: Supervision, validation, investigation, writing–original draft. S. Menezes: Data curation, formal analysis, investigation, visualization. A.C. de Melo: Supervision, methodology, project administration, writing–review and editing. R. Borea: Validation, writing–original draft, writing–review and editing. M. Corassa: Conceptualization, visualization, writing–original draft, writing–review and editing. A.V. Manana: Validation, visualization, writing–review and editing. A.F. Cardona: Validation, visualization, writing–review and editing. O. Arrieta: Validation, visualization, writing–review and editing. E. Rios-Garcia: Visualization, writing–original draft, writing–review and editing. L. Corrales: Validation, visualization, writing–review and editing. C. Rolfo: Supervision, visualization, methodology, writing–original draft, writing–review and editing. V.C. Cordeiro de Lima: Supervision, validation, methodology, writing–original draft, project administration, writing–review and editing.
References
- 1. GBD 2019 Cancer Risk Factors Collaborators . The global burden of cancer attributable to risk factors, 2010–19: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 2022;400:563–91. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Bamodu OA, Chung C-C. Cancer care disparities: overcoming barriers to cancer control in low- and middle-income countries. JCO Glob Oncol 2024;10:e2300439. [DOI] [PubMed] [Google Scholar]
- 3. Barrios CH, Werutsky G, Mohar A, Ferrigno AS, Müller BG, Bychkovsky BL, et al. Cancer control in Latin America and the Caribbean: recent advances and opportunities to move forward. Lancet Oncol 2021;22:e474–87. [DOI] [PubMed] [Google Scholar]
- 4. Villarreal-Garza C, Aranda-Gutierrez A, Gonzalez-Sanchez DG, Bragança-Xavier C, Negrete-Tobar G, Chavarri-Guerra Y, et al. National cancer control plans in Latin America and the Caribbean: challenges and future directions. Lancet Oncol 2025;26:e320–30. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Alfaro T, Martinez-Folgar K, Stern D, Wilches-Mogollon MA, Muñoz MP, Quick H, et al. Variability and social patterning of cancer mortality in 343 Latin American cities: an ecological study. Lancet Glob Health 2025;13:e268–76. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Piñeros M, Laversanne M, Barrios E, Cancela MC, de Vries E, Pardo C, et al. An updated profile of the cancer burden, patterns and trends in Latin America and the Caribbean. Lancet Reg Health Am 2022;13:100294. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Duda-Nyczak M. Demographic transition and achieving the SDGs in Latin America and the Caribbean: a regional overview of the National Transfer Accounts. 2021[cited 2025 Apr 23]. Available from:https://hdl.handle.net/11362/47418. [Google Scholar]
- 8. Turra CM, Fernandes F. Demographic transition: opportunities and challenges to achieve the Sustainable Development Goals in Latin America and the Caribbean. 2020[cited 2025 Apr 23]. Available from:https://hdl.handle.net/11362/46261. [Google Scholar]
- 9. Camargo MC, Feliu A, Stern MC, Villarreal-Garza C, Ferreccio C, Espina C. The Latin America and the Caribbean Code against cancer: an opportunity for empowerment and progress. Lancet Reg Health Am 2023;28:100644. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. The Lancet Oncology . Not old, just older: considering age in cancer care. Lancet Oncol 2019;20:887. [DOI] [PubMed] [Google Scholar]
- 11. Global Health Observatory [Internet] . [cited 2025 Apr 22]. Available from: https://www.who.int/data/gho.
- 12. Cancer Today [Internet]. [cited 2025 Apr 22]. Available from:https://gco.iarc.who.int/today/.
- 13. World Population Prospects [Internet] . [cited 2025 Apr 22]. Available from: https://population.un.org/wpp/.
- 14. Cancer Incidence in Five Continents [Internet] . [cited 2025 Sep 30]. Available from: https://link.springer.com/book/9783540034759.
- 15. Zhou J, Xu Y, Liu J, Feng L, Yu J, Chen D. Global burden of lung cancer in 2022 and projections to 2050: incidence and mortality estimates from GLOBOCAN. Cancer Epidemiol 2024;93:102693. [DOI] [PubMed] [Google Scholar]
- 16. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin 2021;71:209–49. [DOI] [PubMed] [Google Scholar]
- 17. Raez LE, Nogueira A, Santos ES, dos Santos RS, Franceschini J, Ron DA, et al. Challenges in lung cancer screening in Latin America. J Glob Oncol 2018;4:1–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. The Lancet Regional Health – Americas . Equity in early detection: the power of communication in bridging the breast cancer care gap in the Americas. Lancet Reg Health Am 2024;33:100771. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Mosquera I, Barajas CB, Zhang L, Lucas E, Benitez Majano S, Maza M, et al. Assessment of organization of cervical and breast cancer screening programmes in the Latin American and the Caribbean states: the CanScreen5 framework. Cancer Med 2023;12:19935–48. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Palloni A, Novak B, Pinto-Aguirre G. The enduring effects of smoking in Latin America. Am J Public Health 2015;105:1246–53. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Guindon GE, Paraje GR, Chaloupka FJ. Association of tobacco control policies with youth smoking onset in Chile. JAMA Pediatr 2019;173:754–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Pichon-Riviere A, Alcaraz A, Palacios A, Rodríguez B, Reynales-Shigematsu LM, Pinto M, et al. The health and economic burden of smoking in 12 Latin American countries and the potential effect of increasing tobacco taxes: an economic modelling study. Lancet Glob Health 2020;8:e1282–94. [DOI] [PubMed] [Google Scholar]
- 23. Carrot-Zhang J, Soca-Chafre G, Patterson N, Thorner AR, Nag A, Watson J, et al. Genetic ancestry contributes to somatic mutations in lung cancers from admixed Latin American populations. Cancer Discov 2021;11:591–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Bennitt FB, Wozniak S, Causey K, Spearman S, Okereke C, Garcia V, et al. Global, regional, and national burden of household air pollution, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet 2025;405:1167–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Pinheiro PS, Callahan KE, Medina HN, Koru-Sengul T, Kobetz EN, Gomez SL, et al. Lung cancer in never smokers: distinct population-based patterns by age, sex, and race/ethnicity. Lung Cancer Amst Neth 2022;174:50–6. [DOI] [PubMed] [Google Scholar]
- 26. Corrales L, Rosell R, Cardona AF, Martín C, Zatarain-Barrón ZL, Arrieta O. Lung cancer in never smokers: the role of different risk factors other than tobacco smoking. Crit Rev Oncol Hematol 2020;148:102895. [DOI] [PubMed] [Google Scholar]
- 27. Melo G, Aguilar-Farias N, López Barrera E, Chomalí L, Moz-Christofoletti MA, Salgado JC, et al. Structural responses to the obesity epidemic in Latin America: what are the next steps for food and physical activity policies? Lancet Reg Health Am 2023;21:100486. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Tabung FK, Liu L, Wang W, Fung TT, Wu K, Smith-Warner SA, et al. Association of dietary inflammatory potential with colorectal cancer risk in men and women. JAMA Oncol 2018;4:366–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Lemos TC, Coutinho GMS, Silva LAA, Stariolo JB, Campagnoli RR, Oliveira L, et al. Ultra-processed foods elicit higher approach motivation than unprocessed and minimally processed foods. Front Public Health 2022;10:891546. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Montalvan-Sanchez EE, Norwood DA, Dougherty M, Beas R, Guranizo-Ortiz M, Ramirez-Rojas M, et al. Colorectal cancer screening programs in Latin America: a systematic review and meta-analysis. JAMA Netw Open 2024;7:e2354256. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Fernández-Deaza G, Serrano B, Roura E, Castillo JS, Caicedo-Martínez M, Bruni L, et al. Cervical cancer screening coverage in the Americas region: a synthetic analysis. Lancet Reg Health Am 2024;30:100689. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. PAHO/WHO . Evaluating the impact of the human papillomavirus vaccine in Latin America and the Caribbean. Pan American Health Organization; 2023[cited 2025 Apr 26]. Available from:https://www.paho.org/en/documents/evaluating-impact-human-papillomavirus-vaccine-latin-america-and-caribbean. [Google Scholar]
- 33. Díaz LA, Villota-Rivas M, Barrera F, Lazarus JV, Arrese M. The burden of liver disease in Latin America. Ann Hepatol 2024;29:101175. [DOI] [PubMed] [Google Scholar]
- 34. Alvarez CS, Hernández E, Escobar K, Villagrán CI, Kroker-Lobos MF, Rivera-Andrade A, et al. Aflatoxin B1 exposure and liver cirrhosis in Guatemala: a case–control study. BMJ Open Gastroenterol 2020;7:e000380. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Demb J, Kolb JM, Dounel J, Fritz CDL, Advani SM, Cao Y, et al. Red flag signs and symptoms for patients with early-onset colorectal cancer: a systematic review and meta-analysis. JAMA Netw Open 2024;7:e2413157. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Werutsky G, Barrios CH, Cardona AF, Albergaria A, Valencia A, Ferreira CG, et al. Perspectives on emerging technologies, personalised medicine, and clinical research for cancer control in Latin America and the Caribbean. Lancet Oncol 2021;22:e488–500. [DOI] [PubMed] [Google Scholar]
- 37. Raez LE, Cardona AF, Santos ES, Catoe H, Rolfo C, Lopes G, et al. The burden of lung cancer in Latin-America and challenges in the access to genomic profiling, immunotherapy and targeted treatments. Lung Cancer Amst Neth 2018;119:7–13. [DOI] [PubMed] [Google Scholar]
- 38. Fundytus A, Sengar M, Lombe D, Hopman W, Jalink M, Gyawali B, et al. Access to cancer medicines deemed essential by oncologists in 82 countries: an international, cross-sectional survey. Lancet Oncol 2021;22:1367–77. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Burki T. Call to prioritise access to essential cancer medicines in Latin America and the Caribbean. Lancet Oncol 2025;26:286. [DOI] [PubMed] [Google Scholar]
- 40. Piñeros M, Abriata MG, Mery L, Bray F. Cancer registration for cancer control in Latin America: a status and progress report. Rev Panam Salud Publica 2017;41:e2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Piñeros M, Abriata MG, de Vries E, Barrios E, Bravo LE, Cueva P, et al. Progress, challenges and ways forward supporting cancer surveillance in Latin America. Int J Cancer 2021;149:12–20. [DOI] [PubMed] [Google Scholar]
- 42. Barreto SM, Miranda JJ, Figueroa JP, Schmidt MI, Munoz S, Kuri-Morales PP, et al. Epidemiology in Latin America and the Caribbean: current situation and challenges. Int J Epidemiol 2012;41:557–71. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Zacca-González G, Chinchilla-Rodríguez Z, Vargas-Quesada B, de Moya-Anegón F. Bibliometric analysis of regional Latin America’s scientific output in Public Health through SCImago Journal & Country Rank. BMC Public Health 2014;14:632. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Bray F, Piñeros M. Cancer patterns, trends and projections in Latin America and the Caribbean: a global context. Salud Publica Mex 2016;58:104–17. [DOI] [PubMed] [Google Scholar]
- 45. Rao KD, Roberton T, Vecino Ortiz AI, Noonan CM, Lopez Hernandez A, Mora-Garcia CA, et al. Future health expenditures and its determinants in Latin America and the Caribbean: a multi-country projection study. Lancet Reg Health Am 2024;44;100781. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Asadzadeh Vostakolaei F, Karim-Kos HE, Janssen-Heijnen MLG, Visser O, Verbeek ALM, Kiemeney LALM. The validity of the mortality to incidence ratio as a proxy for site-specific cancer survival. Eur J Public Health 2011;21:573–7. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Absolute counts of early-onset cancer cases and deaths, age-standardized incidence (ASIR) and mortality (ASMR) rates, and Human Development Index (HDI) values, stratified by country and gender, 2022.
Table S2. Absolute counts of early-onset cases and deaths with corresponding age-standardized incidence (ASIR) and mortality (ASMR) rates, stratified by cancer type and gender, 2022.
Table S3. Estimated incident early-onset cancer cases and deaths for 2022 and projected values for 2050, stratified by country and sex.
Table S4. Annual Percent Change (APC) in Cancer Mortality (1990–2022) for top 3 most incident early-onset cancers.
Table S5. Linear Regression Between Human Development Index (HDI) and Cancer Burden Indicators (1990–2022)
Table S6. Estimated incident cancer cases and deaths for 2022 and projected values for 2050, stratified by cancer type and sex.
Figure S1. ASIR and ASMR in 2022 for all countries in patients with early-onset cancer.
Figure S2. Cancer types by ASIR and ASMR in 2022 in patients with early-onset cancer.
Figure S3. Projected cases and deaths numbers (per 1,000 persons) under varying global rate-change scenarios in patients with early-onset cancer, 2022–2050.
Figure S4. ASMR in LAC countries by age group and sex. All sites excluding non-melanoma skin cancer, 1990–2022.
Figure S5. ASMR in LAC countries by cancer type in patients with early-onset cancer, 1990–2022.
Figure S6. Bar plots of ASIR and ASMR in 2022 for all countries and cancer types in patients with 15-39 years.
Figure S7. Projected cases and deaths numbers (per 1,000 persons) under varying global rate-change scenarios, 2022–2050.
Data Availability Statement
All data are publicly available through the Global Cancer Observatory and UN World Population Prospects websites. No additional unpublished data are available.




