Figures
Abstract
Background
Soft tissue and other extraosseous sarcomas (STOES) are rare malignancies originating from mesenchymal tissues, posing a substantial health burden due to their aggressiveness and complex treatment. Understanding the global, regional, and national burden of STOES is crucial for effective prevention, screening, treatment, and resource allocation.
Methods
Using the standardized Global Burden of Disease (GBD) methodology, we calculated STOES incidence, prevalence, mortality, and disability-adjusted life years (DALYs) to derive the burden of disease caused by STOES. Results were presented in numerical counts and age-standardized rates per 100,000 population, with an uncertainty interval (UI) to highlight potential statistical variability. The Joinpoint regression analysis was used to analyze the time trend from 1990 to 2021. The method facilitates the calculation of annual percentage change (APC) and average annual percentage change (AAPC) and their corresponding 95% confidence intervals (CI).
Results
In 2021, the global burden of STOES remained substantial with 96,201 incident cases (ASIR: 1.16 per 100,000), 480,473 prevalent cases, 50,203 deaths (ASMR: 0.6 per 100,000), and 1,677,891 DALYs. Males had higher incidence, prevalence, mortality, and DALY rates than females. Regional disparities were evident, with high-income regions exhibiting higher incidence and prevalence but lower mortality rates compared to low-income regions. Notably, East Asia and Oceania had the lowest incidence rates, while Eastern Sub-Saharan Africa had the highest mortality and DALY rates. A mild downward trend was observed in incidence and prevalence, with more pronounced declines in mortality and DALY rates.
Conclusion
Despite declining trends, the global burden of STOES remains significant, with notable regional differences. Tailored prevention, early detection, and treatment strategies, along with targeted resource allocation, are crucial. Further research is needed to understand the underlying factors driving these trends and develop effective interventions.
Citation: Yuan X, He J, Li R (2026) Global, regional, and national burden of soft tissue and other extraosseous sarcomas, 1990–2021: A Systematic analysis for the global burden of disease study 2021. PLoS One 21(3): e0342986. https://doi.org/10.1371/journal.pone.0342986
Editor: Patricia Khashayar, Gent University, BELGIUM
Received: January 13, 2025; Accepted: January 31, 2026; Published: March 9, 2026
Copyright: © 2026 Yuan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: Yes - all data are fully available without restriction; Relevant data are within the paper and its Supporting information files. Further raw data is available for download in the open database GBD 2021. https://www.healthdata.org/data-tools-practices/interactive-visuals/gbd-results.
Funding: The author(s) received no specific funding for this work.
Competing interests: The authors declare that they have no competing interests.
Abbreviations: AAPC, average annual percentage change; APC, annual percentage change; ASDR, age-standardized DALY rate; ASIR, age-standard incidence rate; ASMR, age-standardized mortality rate; ASPR, age-standard prevalence rate; CI, confidence intervals; DALYs, disability adjusted life years; GBD, Global Burden of Disease; SDI, sociodemographic index; STOES, soft tissue sarcomas and other extraosseous sarcomas; UI, uncertainty interval.
Background
Soft tissue and other extraosseous sarcomas (STOES) are a group of malignant tumors originating from mesenchymal tissues, encompassing a wide range of histological subtypes, including but not limited to liposarcomas, leiomyosarcomas, synovial sarcomas, etc. [1,2]. STOES display a wide range of clinical behavior from low grade to high grade tumors that are characterized by an increased risk of metastatic spread. Although these tumors are not as prevalent as common cancers such as lung cancer and breast cancer globally, their high degree of heterogeneity, aggressiveness, and treatment complexity pose a significant burden on patients and society. A study by the French Sarcoma Group based on pathology reports and tumor blocks of all respective pathologists in the Rhone-Alpes region estimated a European age-standardized incidence of 4.9 per 100,000 persons per year for soft-tissue and visceral sarcoma [3]. In 2015, Asian-Pacific region (STAR) study reported the median overall survival in adult patients with metastatic STS was 11.7months and the 5-year survival rate was less than 10% worldwide [4]. With the intensification of global population aging, advancements in medical detection technologies, and increasing public attention to health, the incidence and diagnosis rates of soft tissue sarcomas and other extraosseous sarcomas have been rising annually, becoming a noteworthy issue in the field of public health [5,6].
Understanding the global, regional, and national burden of soft tissue sarcomas and other extraosseous sarcomas is crucial for formulating effective strategies for prevention, screening, treatment, and rehabilitation. This not only helps improve patients’ prognoses and quality of life but also provides a scientific basis for health policymakers to allocate medical resources reasonably and optimize cancer prevention and control strategies.
The Global Burden of Disease (GBD) study is a reliable tool for understanding the current assessment of the incidence, prevalence, mortality, and disability adjusted life years (DALYs) due to STOES. In previous assessments, STOES was often discussed as part of the broader disease burden of malignant neoplasms [7,8]. For the first time, the Global Burden of Diseases (GBD), Injuries, and Risk Factors Study 2021 (GBD 2021) database provides estimates for STOES as a separate disease entry. This study aims to comprehensively assess the global, regional, and national burden of soft tissue sarcomas and other extraosseous sarcomas, including incidence, prevalence, mortality, and disability-adjusted life years (DALYs), through a systematic analysis of data from GBD 2021 from 1990 to 2021. The GBD study is a large-scale epidemiological research project conducted by international organizations such as the World Health Organization (WHO) and the World Bank, aiming to provide comprehensive and comparable health estimation data for global health policy formulation [9].
This study will reveal the current status and trends of the global, regional, and national burden of soft tissue sarcomas and other extraosseous sarcomas through a comprehensive and systematic analysis, providing important references for the formulation of public health policies and the optimization of cancer prevention and control strategies. We anticipate that through this study, we can further enhance global awareness and attention to soft tissue sarcomas and other extraosseous sarcomas, promoting the further development of related research and prevention and control efforts.
Methods
Data sources
The study draws on data from the GBD 2021, which provides a comprehensive estimate of health losses from 371 diseases and injuries across 204 countries and territories from 1990 to 2021 [10], including STOES. The introduction and estimation methods of GBD 2021 are described in detail in the previous systematic analysis study for the GBD [10–12]. For nonfatal estimates, data were derived from scientific literature, household survey data, epidemiological surveillance data, disease registries, clinical informatics, and other sources, as well as searches of online research databases, government and international organization websites, published reports, and datasets provided by key data providers and GBD collaborators. Data for mortality estimates were primarily derived from vital registration, autopsy, survey, police, or surveillance data from all countries and territories. Consistent disease estimates were produced using epidemiological state-transition disease modeling software, DisMod-MR (Institute for Health Metrics and Evaluation), and Bayesian meta-regression software, MR-BRT (Institute for Health Metrics and Evaluation), which were adjusted for study-level differences in measurement methods and case definitions. When it was impossible to directly obtain data for certain regions, regional priors and national-level covariates were used to generate regional estimates. At the same time, uncertainty was estimated through 100 iterations of Bayesian models, and the 95% uncertainty intervals (UI) for each indicator are presented to assess the impact of data quality on the stability of the estimation results [10]. In this investigation, the estimates and their 95% UI for incidence, prevalence, mortality, and DALYs related to STOES were drawn from the GBD 2021 data.
Additionally, the study employed the sociodemographic index (SDI), a measure that quantifies a region’s sociodemographic progression based on income, education, and fertility circumstances. The SDI ranges from 0 to 1, with higher values representing higher levels of socioeconomic development. SDI is divided into five quintiles: low, low-middle, middle, high-middle, and high [8]. The relationship between the SDI and the incidence in different countries and regions was analyzed in this study.
Joinpoint regression analysis
In this study, the Joinpoint regression analysis model, a statistical method commonly used in epidemiological studies, was used to assess the time trend of incidence [13]. The model facilitates the calculation of the annual percentage change (APC) and its accompanying 95% confidence interval (CI) to depict trends in incidence over a defined time frame. In addition, for a comprehensive assessment of observed trends, the average annual percentage change (AAPC), which contains aggregated trend data for the study period 1990–2021, was calculated. AAPC is a summary measure of the trend over a pre-specified fixed interval, calculated as the weighted average of the APC, allowing us to describe the average APC over the study period with a single number. The value of AAPC represents the annual percentage change (increase, decrease, or no change). For example, if the AAPC is 0.1, it means there is a 0.1% increase in the annual growth rate. When the estimated APC or AAPC value is above 0, it indicates an upward trend within the specified interval. By contrast, when the estimated APC or AAPC value is below zero, it suggests a downward trend. When the estimated APC or AAPC value is zero, it means that the trend remains stable [14,15].
All data used in this study wereobtained from publicly available databases; further ethical approval was not required.
Statistics analysis
The incidence rate, prevalence rate, and mortality rate are expressed as predictions per 100,000 population, while DALYs rate is expressed per 100,000 person-years, including their 95% UI. All analyses and graphical representations were conducted using RStudio software (version 4.3.1) and the Joinpoint regression program (version 5.0.2).
Results
Overview of the global burden
The global number of incident cases increased from 54,630 (95% UI: 46,757–63,999) in 1990–96,201 in 2021 (95%UI: 83,423–116,185), while the age-standard incidence rate (ASIR) decreased from 1.21 per 100,000 population (95%UI: 1.04 to 1.39) in 1990 to 1.16 per 100,000 population (95%UI: 1.0 to 1.41) in 2021. In 2021, there were 52,347 male incident cases (95%UI: 43,223–68,477), with an ASIR of 1.34 per 100,000 population (95%UI: 1.11 to 1.74), and 43,854 female incident cases (95%UI: 38,483–51,362), with an ASIR of 1.01 per 100,000 population (95%UI: 0.88 to 1.19) (Table 1).
The number of prevalent cases of STOES globally increased from 279,444 (95%UI: 238,598–327,229) in 1990–480,473 in 2021 (95%UI: 416,398–581,648), while the age-standard prevalence rate (ASPR) showed a slight decrease, from 5.95 per 100,000 population (95%UI: 5.14 to 6.86) in 1990 to 5.78 per 100,000 population in 2021 (95%UI: 5.01 to 7.02). In 2021, there were 258,405 prevalent cases in males (95% UI: 214,180–338,367) and 222,068 prevalent cases in females (95%UI: 195,203–260,703) (Table 2).
In 2021, the global number of deaths due to STOES was 50,203 (95%UI: 43,232–61,280), with 27,163 male deaths (95%UI: 22,113–36,530) and 23,040 female deaths (95%UI: 19,9367–27,498). The age-standardized mortality rate (ASMR) was 0.6 per 100,000 population (95%UI: 0.52 to 0.74), showing a slight decrease compared to 0.74 per 100,000 population (95%UI: 0.62 to 0.86) in 1990, with an AAPC of −0.81 (95%CI: −0.88 to −0.74). However, the number of deaths increased compared to 1990, when the death toll was 31,878 (95%UI: 26,445–37,708) (Table 3).
The global DALYs due to STOES in 2021 were 1,677,891 person-years (95% UI: 1,428,208–2,115,701), with 916,038 person-years (95% UI: 731,625–1,309,813) for males and 761,853 person-years (95% UI: 654,091–946,756) for females. Overall, this represented an increase from 1990, when the global DALYs due to STOES were 1,355,265 person-years (95% UI: 1,117,320–16,708,06). The age-standardized DALY rate (ASDR) was 18.3 per 100,000 person-years (95% UI: 15.7 to 23.0), showing a decreasing trend compared to 1990, with an AAPC of −1.2 (95%CI: −1.28 to −1.12) (Table 4).
Soft tissue sarcomas and other extraosseous sarcomas burden by region
In 2021, research conducted at different regional levels around the world found that the ASIR of STOES was highest in regions with High SDI, with 2.05 per 100,000 population (95% UI: 1.9 to 2.16). The lowest is in the Middle SDI region, at 0.75 per 100,000 population (95% UI: 0.6 to 0.97). From 1990 to 2021, only High SDI regions showed an overall increase ASIR, with AAPC of 0.17 (95%CI: 0.01 to 0.33), while all other regions showed a decrease. Among them, the most decreased ASIR was in the Low SDI region with an AAPC of −0.93 (95%CI: −1.03 to −0.83). Geographically, High-income North America has the highest ASIR at 2.63 per 100,000 population (95% UI: 2.48 to 2.77), followed by Australasia at 2.52 per 100,000 population (95% UI: 2.18 to 2.88), and in Western Europe, 2.41 per 100,000 population (95% UI: 2.21 to 2.59). The regions with the lowest ASIR are Oceania, at 0.2 per 100,000 population (95% UI: 0.14 to 0.28), and East Asia, at 0.5 per 100,000 population (95% UI: 0.35 to 0.7). From 1990 to 2021, the regions with the largest increase in ASIR were Central Asia [AAPC: 1.67 (95% CI: 1.3 to 2.04)] and Central Europe [AAPC: 1.46 (95% CI: 1.25 to 1.68)], while the regions with the largest decrease were East Asia with an AAPC of −1.03 (95% CI: −1.14 to −0.91), and North Africa and Middle East with an AAPC of −1.01 (95% CI: −1.05 to −0.96) (Table 1).
The region with the highest ASPR in 2021 was High SDI, with an ASPR of 10.61 per 100,000 population (95% UI: 9.82 to 11.17). In contrast, the region with the lowest ASPR was Middle SDI, with a value of 3.72 per 100,000 population (95% UI: 2.99 to 4.74). From 1990 to 2021, the ASPR in the High SDI region showed an upward trend, with an AAPC of 0.23 (95% CI: 0.07 to 0.39), while the other regions exhibited a downward trend, with the most significant decline observed in the Low SDI region, with an AAPC of −0.87 (95% CI: −0.96 to −0.78). Geographically, in 2021, the region with the highest ASPR was High-income North America, with a value of 13.61 per 100,000 population (95% UI: 12.86 to 14.3), followed by Australasia with 13.11 per 100,000 population (95% UI: 11.3 to 15.02), and Western Europe with 12.56 per 100,000 population (95% UI: 11.51 to 13.45). On the other hand, the regions with the lowest ASPR were Oceania, with 0.98 per 100,000 population (95% UI: 0.68 to 1.38), East Asia, with 2.39 per 100,000 population (95% UI: 1.7 to 3.34), and Southeast Asia, with 3.5 per 100,000 population (95% UI: 2.72 to 4.99). Notably, from 1990 to 2021, Central Asia exhibited the most significant upward trend in ASPR, with an AAPC of 1.64 per 100,000 population (95% UI: 1.26 to 2.02), while East Asia showed the most pronounced downward trend, with an AAPC of −1 (95%CI: −1.11 to −0.88) (Table 2).
Across different SDI regions, the region with the highest ASMR in 2021 was the Low SDI, with a value of 0.95 per 100,000 population (95% UI: 0.75 to 1.42), while the region with the lowest ASMR was Middle SDI, at 0.42 per 100,000 population (95% UI: 0.34 to 0.53). From 1990 to 2021, all regions showed a downward trend in ASMR, with the most significant decline observed in Low SDI regions, with an AAPC of −1.29 (95%CI: −1.38 to −1.19). In terms of geographical regions, the area with the highest ASMR in 2021 was Eastern Sub-Saharan Africa, with 1.58 per 100,000 population (95% UI: 1.18 to 2.45), followed by High-income North America with 1.07 per 100,000 population (95% UI: 1 to 1.11). In contrast, the regions with the lowest ASMR were Oceania and East Asia, with 0.14 per 100,000 population (95% UI: 0.1 to 0.2) and 0.25 per 100,000 population (95% UI: 0.18 to 0.34), respectively. From 1990 to 2021, the region with the most significant increase in ASMR was Central Asia, with an AAPC of 1.17 (95%CI: 0.86 to 1.47), while the region with the most pronounced decrease was East Asia, with an AAPC of −2.25 (95%CI: −2.41 to −2.1) (Table 3).
The region with the highest ASDR in 2021 was Low SDI, with a value of 33.41 per 100,000 person-years (95% UI: 25.63 to 50.17), while the region with the lowest ASDR was Middle SDI, at 13.93 per 100,000 person-years (95% UI: 11.21 to 17.61). From 1990 to 2021, all regions showed a downward trend in ASDR, with the most significant decline observed in Low SDI regions, with an AAPC of −1.66 (95%CI: −1.75 to −1.58). Geographically, the region with the highest ASDR was Eastern Sub-Saharan Africa, with an ASDR of 53.14 per 100,000 person-years (95% UI: 38.49 to 83.55), followed by High-income North America with an ASDR of 35.69 per 100,000 person-years (95% UI: 34.1 to 37). The regions with the lowest ASDR were Oceania with 5.11 per 100,000 person-years (95% UI: 3.55 to 7.24) and East Asia with 6.93 per 100,000 person-years (95% UI: 4.93 to 9.81). From 1990 to 2021, the region with the most significant increase in ASDR was Southern Sub-Saharan Africa, with an AAPC of 0.9 (95%CI: 0.51 to 1.29), while the region with the most pronounced decrease in ASDR was East Asia, with an AAPC of −2.88 (95%CI: −3.03 to −2.72) (Table 4).
Soft tissue sarcomas and other extraosseous sarcomas burden by country
At the national level, the countries with the highest ASIR in 2021 were Germany, with an ASIR of 4.78 per 100,000 population (95% UI: 4.16 to 5.32), Bermuda, with an ASIR of 4.43 per 100,000 population (95% UI: 3.55 to 5.76), and Sweden, with an ASIR of 4.38 per 100,000 population (95% UI: 3.67 to 5.15). On the other hand, the countries with the lowest ASIR were Northern Mariana Islands, with an ASIR of 0.03 per 100,000 population (95% UI: 0.01 to 0.04), Palau, with an ASIR of 0.05 per 100,000 population (95% UI: 0.02 to 0.08), and Tonga, with an ASIR of 0.11 per 100,000 population (95% UI: 0.07 to 0.18) (S1 Appendix and Fig 1A).
The map was created using the rmaps package in R (available at https://cran.r–project.org/web/packages/maps/index.html), which is an open – source software. The data used for the map comes from the 2021 incidence of Soft Tissue and Other Extraosseous Sarcomas, sourced from https://vizhub.healthdata.org/gbd-results/. (A) Age-standardized incidence rate. (B) Age-standardized prevalence rate. (C) Age-standardized mortality rate. (D) Age-standardized DALYs rate. Data source: Global Burden of Diseases, Injuries, and Risk Factors Study 2021. DALYs, disability-adjusted life-years.
In 2021, the countries with the highest ASPR were Germany, with an ASPR of 23.40 per 100,000 population (95% UI: 20.48 to 26.02), Malta, with an ASPR of 21.86 per 100,000 population (95% UI: 17.91 to 26.51), and Bermuda, with an ASPR of 21.70 per 100,000 population (95% UI: 17.32 to 28.27). On the other hand, the countries with the lowest ASPR were Northern Mariana Islands, with an ASPR of 0.14 per 100,000 population (95% UI: 0.06 to 0.22), Palau, with an ASPR of 0.26 per 100,000 population (95% UI: 0.12 to 0.42), and Tonga, with an ASPR of 0.57 per 100,000 population (95% UI: 0.33 to 0.91) (S2 Appendix and Fig 1B).
In 2021, the countries with the highest ASMR were Bermuda [2.11 per 100,000 population (95% UI: 1.68 to 2.72)], Germany [2.07 per 100,000 population (95% UI: 1.80 to 2.29)], and Malta [1.87 per 100,000 population (95% UI: 1.53 to 2.25)], the same as ASIR and ASPR. The countries with the lowest ASMR remained the Northern Mariana Islands at 0.01 per 100,000 population (95% UI: 0.01 to 0.02), Palau at 0.03 per 100,000 population (95% UI: 0.01 to 0.05), and Tonga at 0.57 per 100,000 population (95% UI: 0.33 to 0.91) (S3 Appendix and Fig 1C).
From a national perspective, the countries with the highest ASDR in 2021 were Haiti, with an ASDR of 57.75 per 100,000 person-years (95% UI: 34.18 to 84.96), South Sudan, with an ASDR reported as 57.06 per 100,000 person-years (95% UI: 34.82 to 95.80), and Barbados, with an ASDR of 54.50 per 100,000 person-years (95% UI: 42.75 to 68.38). Meanwhile, the countries with the lowest ASDR remained Northern Mariana Islands, with an ASDR of 0.54 per 100,000 person-years (95% UI: 0.23 to 0.84), Palau, with an ASDR of 1.01 per 100,000 person-years 95% UI: (0.47 to 1.63), and Tonga, with an ASDR of 2.47 per 100,000 person-years (95% UI: 1.46 to 3.99) (S4 Appendix and Fig 1D).
Effects of different SDI on Incidence rate
Between 1990 and 2021, at the regional level, there was a nonlinear relationship between ASIR and the SDI. As the SDI increased, the ASIR exhibited intermittent declines or rises. From 1990 to 2021, Oceania and East Asia regions experienced a mild downward trend in incidence rates, which were lower than expected. Across all regions within the Sub-Saharan Africa super-region, the ASIR remained relatively stable with no significant changes. In high SDI regions such as High-income Asia Pacific, Western Europe, and High-income North America, the ASIR showed intermittent increases or decreases between 1990 and 2021. However, Western Europe and High-income North America had ASIRs that were higher than expected, while the ASIR in High-income Asia Pacific was significantly lower than expected (Fig 2A).
Data source: Global Burden of Diseases, Injuries, and Risk Factors Study 2021.
At the national level, the analysis revealed that a nonlinear relationship also existed between ASIR and SDI from 1990 to 2021. The high burden of STOES exists not only in high SDI countries but also in low SDI countries. High SDI countries such as Germany, Malta, Bermuda, and Australia, as well as low SDI countries like South Sudan, Somalia, Mozambique, and Ethiopia, had ASIRs that were much higher than expected. Conversely, countries like Monaco, Northern Mariana Islands, Mali, and Niger had ASIRs that were far lower than anticipated (Fig 2B).
Joinpoint regression analysis
The Joinpoint regression analysis showed that from 1990 to 2021, both ASIR and ASPR exhibited an overall mild downward trend, while ASMR and ASDR showed more significant declines. Regardless of whether it was ASIR, ASPR, ASMR, or ASDR, at the same time point, the rates were consistently higher in males than in females. The ASIR increased during the periods from 1990 to 1996 and 2014–2018, while it decreased during the remaining time periods, with the most significant decline occurring after 2018. Similarly, the most pronounced downward trends in ASPR, ASMR, and ASDR were also observed after 2018 (Fig 3).
* Indicates that the APC is significantly different from zero at the alpha = 0.05 level. DALYs, disability-adjusted life-years. APC = annual percentage change. Data source: Global Burden of Diseases, Injuries, and Risk Factors Study 2021.
Soft tissue sarcomas and other extraosseous sarcomas burden by age group
The incidence of STOES gradually increased with age, especially after the age of 60. Men generally had a higher incidence than women across all age groups, and the difference was particularly pronounced in middle age and beyond. Children and adolescents (<5 years, 5–9 years, 10–14 years, 15–19 years): The incidence was relatively low and the differences between males and females were not significant. Early adulthood (ages 20–29): Incidence begins to increase, but remains low. Middle age (30–49 years): The incidence gradually increased, and the incidence began to be significantly higher in men than in women. Middle-aged and elderly (50–69 years): Incidence increased rapidly, especially among men, reaching a peak in the 65–69 age group. Old age (70 years and older): Incidence continued to rise, and the trend was more pronounced, especially in the age group 75 years and older (Fig 4A). ASPR, ASMR and ASDR showed similar trends to ASIR (Fig 4B, Fig 4C, Fig 4D). The rapid increase in ASMR occurred after the age of 55–59 years.
(A) Age-specific incidence rate (per 100,000 population). (B) Age-specific prevalence rate (per 100,000 population). (C) Age-specific morality rate (per 100,000 population). (D) Age-specific DALYs rate (per 100000 person-years). DALYs, disability-adjusted life-years. Error bars denote 95% uncertainty intervals. Data source: Global Burden of Diseases, Injuries, and Risk Factors Study 2021.
Discussion
This study comprehensively assessed the burden of STOES globally from 1990 to 2021, revealing trends at different time points. Although the global number of incident cases increased from 54,630 in 1990–96,201 in 2021, the ASIR decreased, indicating that despite the rise in absolute case numbers, the relative incidence of STOES, taking into account population growth and aging, is actually declining. However, it is noteworthy that while the ASMR and ASDR decreased, their absolute values still increased, potentially reflecting the high lethality of STOES and its severe impact on patients’ quality of life. A study from Germany found that one- and five-year relative survival rates were 87.8% and 66.4% for soft tissue sarcoma [6]. Another retrospective case review involving the United Kingdom, France, Germany, and Spain showed that adult patients with advanced sarcoma had a median survival of just 17.6 months after beginning treatment [16].
The study results demonstrated significant differences in the burden of STOES across regions with varying SDI levels. High-income regions (such as high-income North America, Australasia, and Western Europe) generally had higher ASIR and ASPR, which could be attributed to their superior medical detection capabilities and more comprehensive disease registration systems. However, from 1990 to 2021, only high-income regions showed an overall increase in ASIR, while all other SDI regions experienced a decline, suggesting that high-income regions may have an advantage in early detection and diagnosis of STOES. Additionally, low-SDI regions had higher ASMR and ASDR, especially the Southern Sub-Saharan Africa, indicating greater challenges in STOES management and treatment in these areas. The complex health care facilities and measures needed to treat cancer are often lacking in these areas [17]. A study from the United Kingdom showed that patients with soft tissue sarcoma in deprived areas had a 23% higher risk of dying within five years than those in non-deprived areas [18]. Therefore, it is crucial to develop differentiated prevention and control strategies tailored to the specific situations of different SDI regions.
When further exploring the underlying reasons for these regional disparities, occupational or environmental exposure factors cannot be overlooked. They are likely to play a significant role in explaining the differences in incidence rates between high – and low – income regions. Previous studies have demonstrated that occupational exposure to certain chemicals is associated with an increased risk of developing soft tissue sarcomas [19,20]. High – income regions may experience relatively higher incidence rates due to factors such as industrial activities, medical radiation, and occupational chemical exposure. In contrast, although the forms of industrial pollution and chemical exposure in low – income regions may differ, the incidence data may not truly reflect the actual situation because of limited medical resources and an imperfect monitoring system.
Therefore, in global cancer prevention strategies, it is essential to fully consider occupational or environmental exposure factors and formulate targeted prevention and control measures according to the exposure characteristics of different regions. For high – income regions, it is necessary to strengthen industrial pollution control, standardize the use of medical radiation, and enhance the level of occupational health protection. For low – income regions, efforts should be made to increase the intensity of environmental pollution control, establish a comprehensive monitoring system for radiation and chemical exposure, and raise residents’ awareness of environmental hazards and their self – protection capabilities. Through the implementation of these measures, it is expected to narrow the gap in cancer incidence rates between different regions and improve the overall effectiveness of global cancer prevention and control.
This study also emphasized the gender differences in STOES. Males consistently had higher ASIR, ASPR, ASMR, and ASDR than females, both globally and regionally. A population-based epidemiological analysis conducted in Europe from 1996 to 2015 found slightly higher age-standardized incidence of soft tissue sarcoma in men than in women [21]. Another study from Germany also confirmed sex differences in the incidence of different subtypes of soft tissue sarcoma [22]. This disparity may be related to sex hormone levels, genetic susceptibility, and lifestyle choices (such as smoking and alcohol consumption). Another possible explanation may be related to the exposure to potential mutagens in occupations that are predominantly male-dominated [2]. Previous studies on the relationship between occupational exposure and sarcomas have found higher incidence rates among gardeners, railway workers, farmers, farm managers, workers in the pulp and paper industry, construction sites, chemical plants, meat processing and woodworking facilities, as well as nuclear facilities [23]. Some environmental genotoxic substances, such as vinyl chloride, dioxins, and chlorophenols, have been studied for their potential contribution to the pathogenesis of soft tissue sarcoma [24]. As such, when formulating prevention and control strategies, special attention should be given to the male population, with enhanced health education and early screening efforts to improve early detection and treatment success rates.
Joinpoint regression analysis revealed an overall mild downward trend in ASIR and ASPR of STOES from 1990 to 2021, while ASMR and ASDR showed more pronounced declines. This trend may be associated with advancements in medical technology, heightened public health awareness, and the implementation of disease prevention and control measures globally. These include efforts made by global health organizations such as the 2011 United Nations Political Declaration on the Prevention and Control of Non-communicable Diseases [25] and initiatives aimed at Preventing Noncommunicable Diseases (NCDs) by Reducing Environmental Risk Factors [26]. However, it is worth noting that the ASIR increased during specific time periods, such as from 1990 to 1996 and from 2014 to 2018. Unfortunately, we are unable to pinpoint the exact reasons for these increases during these particular time periods. We speculate that they may be linked to changes in disease monitoring systems. Future studies should delve deeper into these potential influencing factors to facilitate the development of more effective prevention and control strategies.
The incidence of STOES gradually increased with age, particularly after 60 years, mirroring the trend observed in most malignancies [17] and is consistent with previous research findings on the clinical characteristics of soft tissue sarcomas [27–29]. The study also confirms that compared to younger individuals, elderly patients with soft tissue sarcomas are more susceptible to tumor recurrence, and the incidence of tumor-related comorbidities is significantly higher in elderly patients. Furthermore, the more comorbidities a patient has, the worse the prognosis for tumor treatment tends to be [28,30]. Therefore, prevention and control strategies should prioritize the older population, with intensified health education and early screening initiatives.
In subsequent tumor prevention and control efforts, it is crucial to establish a regular occupational health monitoring system for high-risk professions to promptly identify and address potential health issues. Additionally, strengthening health education to raise public awareness and importance of STOES, as well as encouraging healthy lifestyles to reduce the risk of developing the disease, is imperative. Furthermore, an effective early screening mechanism should be established to conduct periodic screenings among high-risk populations. Simultaneously, advancing research and application of STOES treatment technologies tailored to the characteristics of different age groups, genders, and geographical regions is necessary to develop personalized prevention and intervention strategies. Ultimately, these measures aim to improve the survival rates and quality of life for STOES patients.
The findings of this study on STOES not only provide crucial evidence for the prevention and control of this specific type of tumor but also offer universal insights for the formulation and optimization of global cancer prevention strategies, extending beyond the scope of soft tissue sarcomas alone. By emphasizing measures such as early screening and detection, paying attention to regional disparities, recognizing gender differences, focusing on the elderly population, and strengthening occupational health monitoring, a more comprehensive and effective global cancer prevention and control system can be established. This will contribute to reducing the incidence and mortality rates of cancer, improving patients’ quality of life, and making positive contributions to global public health endeavors.
This study has significant strengths. The data is sourced from the authoritative and comprehensive Global Burden of Disease (GBD) 2021 database, with a wide and representative sample. The use of rigorous methodologies enhances the reliability and validity of the results. The analysis is thorough and in-depth, covering multiple dimensions of the burden of soft tissue and other extraosseous sarcomas (STOES). By employing regression analysis, it provides insights into disease dynamics, facilitating an understanding of the burden and trends at the global, regional, and national levels. The research findings can serve as a basis for formulating public health policies and cancer prevention strategies, while the gender- and age-specific analyses are conducive to the development of personalized plans.
However, the study also has limitations. The availability and quality of data are affected by some literature reports and model estimates. Differences in data collection and reporting practices across countries impact the comparability and accuracy of the results. There is a time lag between data collection and inclusion in the database, which may obscure recent trends. The analysis may not fully reflect the impact of advancements in medical technology. Moreover, due to regional differences, the generalizability of the results is limited. Future research needs to incorporate more variables to improve specificity and applicability.
Overall, although the study offers robust and comprehensive insights, accurate interpretation requires acknowledging its limitations. Addressing these challenges will deepen understanding and contribute to the development of more effective prevention and control strategies.
Conclusion
In conclusion, despite the downward trends observed in the ASIR, ASPR, ASMR, and ASDR of STOES over the past three decades, the disease burden remains significant, with notable differences between regions and countries. To effectively address this challenge, it is essential to strengthen international cooperation and information sharing to collaboratively research and develop prevention and control strategies. Efforts should also be intensified in the research and development of new technologies and medications for the treatment of STOES. Furthermore, it is crucial to devise specific intervention measures tailored to the characteristics of different regions, countries, and age groups.
Supporting information
S1 Appendix. Table 1.
Age-standardized incidence rate (per 100,000 population) and incident cases in 204 countries in 1990 and 2021.
https://doi.org/10.1371/journal.pone.0342986.s001
(DOCX)
S2 Appendix. Table 2.
Age-standardized prevalence (per 100,000 population) and prevalent cases in 204 countries in 1990 and 2021.
https://doi.org/10.1371/journal.pone.0342986.s002
(DOCX)
S3 Appendix. Table 3.
Age-standardized mortality rate (per 100,000 population) and death cases in 204 countries in 1990 and 2021.
https://doi.org/10.1371/journal.pone.0342986.s003
(DOCX)
S4 Appendix. Table 4.
Age-standardized DALYs rate (per 100,000 person-years) and DALYs counts in 204 countries in 1990 and 2021.
https://doi.org/10.1371/journal.pone.0342986.s004
(DOCX)
References
- 1. Fuchs JW, Schulte BC, Fuchs JR. Targeted therapies for the treatment of soft tissue sarcoma. Frontiers in Oncology. 2023;9(13):1122508.
- 2. Buja A, Rugge M, Tropea S. Sex differences in soft tissue sarcoma: incidence, clinicopathological profile, survival, and costs. J Womens Health (Larchmt). 2023;32(11):1257–64.
- 3. Ducimetière F, Lurkin A, Ranchère-Vince D, Decouvelaere A-V, Péoc’h M, Istier L, et al. Incidence of sarcoma histotypes and molecular subtypes in a prospective epidemiological study with central pathology review and molecular testing. PLoS One. 2011;6(8):e20294. pmid:21826194
- 4. Poon E, Quek R. Soft tissue sarcoma in Asia. Chin Clin Oncol. 2018;7(4):46. pmid:30173536
- 5. Ferrari A, Sultan I, Huang TT, Rodriguez-Galindo C, Shehadeh A, Meazza C, et al. Soft tissue sarcoma across the age spectrum: a population-based study from the Surveillance Epidemiology and End Results database. Pediatr Blood Cancer. 2011;57(6):943–9. pmid:21793180
- 6. Trautmann F, Schuler M, Schmitt J. Burden of soft-tissue and bone sarcoma in routine care: Estimation of incidence, prevalence and survival for health services research. Cancer Epidemiol. 2015;39(3):440–6. pmid:25801944
- 7. Qiu H, Cao S, Xu R. Cancer incidence, mortality, and burden in China: a time-trend analysis and comparison with the United States and United Kingdom based on the global epidemiological data released in 2020. Cancer Commun (Lond). 2021;41(10):1037–48. pmid:34288593
- 8. GBD 2019 Adolescent Young Adult Cancer Collaborators. The global burden of adolescent and young adult cancer in 2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Oncol. 2022;23(1):27–52.
- 9. Murray C. The global burden of disease study at 30 years. Nat Med. 2022;28(10):2019–26.
- 10. GBD 2021 Diseases and Injuries Collaborators. Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet. 2024;403(10440):2133–61.
- 11. GBD 2019 Diseases and Injuries Collaborators. Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet. 2020;396(10258):1204–22.
- 12. GBD 2021 Causes of Death Collaborators. Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet. 2024;403(10440):2100–32.
- 13. Kim H-J, Chen H-S, Byrne J, Wheeler B, Feuer EJ. Twenty years since Joinpoint 1.0: Two major enhancements, their justification, and impact. Stat Med. 2022;41(16):3102–30. pmid:35522060
- 14. Zhang J, Ma B, Han X, Ding S, Li Y. Global, regional, and national burdens of HIV and other sexually transmitted infections in adolescents and young adults aged 10-24 years from 1990 to 2019: a trend analysis based on the Global Burden of Disease Study 2019. Lancet Child Adolesc Health. 2022;6(11):763–76. pmid:36108664
- 15. Tuo Y, Li Y, Li Y, Ma J, Yang X, Wu S, et al. Global, regional, and national burden of thalassemia, 1990-2021: a systematic analysis for the global burden of disease study 2021. EClinicalMedicine. 2024;72:102619. pmid:38745964
- 16. Nagar SP, Mytelka DS, Candrilli SD, D’yachkova Y, Lorenzo M, Kasper B, et al. Treatment Patterns and Survival among Adult Patients with Advanced Soft Tissue Sarcoma: A Retrospective Medical Record Review in the United Kingdom, Spain, Germany, and France. Sarcoma. 2018;2018:5467057. pmid:29977133
- 17. Global Burden of Disease Cancer Collaboration, Fitzmaurice C, Allen C, Barber RM, Barregard L, Bhutta ZA, et al. Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-years for 32 Cancer Groups, 1990 to 2015: A Systematic Analysis for the Global Burden of Disease Study. JAMA Oncol. 2017;3(4):524–48. pmid:27918777
- 18. Bacon A, Wong K, Fernando MS, Rous B, Hill RJW, Collins SD, et al. Incidence and survival of soft tissue sarcoma in England between 2013 and 2017, an analysis from the National Cancer Registration and Analysis Service. Int J Cancer. 2023;152(9):1789–803. pmid:36541754
- 19. de Graaf L, Boulanger M, Bureau M, Bouvier G, Meryet-Figuiere M, Tual S, et al. Occupational pesticide exposure, cancer and chronic neurological disorders: A systematic review of epidemiological studies in greenspace workers. Environ Res. 2022;203:111822. pmid:34352232
- 20. Renier M, Busson A, Boulanger M, Piel C, Pons R, Tual S, et al. Agricultural exposure and risk of soft tissue sarcomas and gastrointestinal stromal sarcoma in the AGRIculture and CANcer (AGRICAN) cohort. Int J Cancer. 2022;150(11):1792–803. pmid:35048371
- 21. Kollár A, Rothermundt C, Klenke F, Bode B, Baumhoer D, Arndt V, et al. Incidence, mortality, and survival trends of soft tissue and bone sarcoma in Switzerland between 1996 and 2015. Cancer Epidemiol. 2019;63:101596. pmid:31520938
- 22. Ressing M, Wardelmann E, Hohenberger P, Jakob J, Kasper B, Emrich K, et al. Strengthening health data on a rare and heterogeneous disease: sarcoma incidence and histological subtypes in Germany. BMC Public Health. 2018;18(1):235. pmid:29433465
- 23. Edwards D, Voronina A, Attwood K, Grand’Maison A. Association between occupational exposures and sarcoma incidence and mortality: systematic review and meta-analysis. Syst Rev. 2021;10(1):231. pmid:34389054
- 24. Honoré C, Méeus P, Stoeckle E, Bonvalot S. Soft tissue sarcoma in France in 2015: Epidemiology, classification and organization of clinical care. J Visc Surg. 2015;152(4):223–30. pmid:26088366
- 25.
United Nations. High-level meeting on prevention and control of non-communicable diseases. 2011. (accessed 17/7 2024). http://www.un.org/en/ga/ncdmeeting2011/
- 26.
World Health Organization. Preventing Noncommunicable Diseases (NCDs) by Reducing Environmental Risk Factors. 2017. (accessed 17/7 2024). https://www.who.int/publications/i/item/WHO-FWC-EPE-17.01
- 27. Ogura K, Morizane C, Satake T. Soft-tissue sarcoma in Japan: National cancer registry-based analysis from 2016 to 2019. Jpn J Clin Oncol. 2024;7:hyae088.
- 28. Papworth KE, Arroyo VM, Styring E, Zaikova O, Melin BS, Lupo PJ. Soft-tissue sarcoma in adolescents and young adults compared with older adults: A report among 5000 patients from the Scandinavian Sarcoma Group Central Register. Cancer. 2019;125(20):3595–602. pmid:31287163
- 29. Ebrahimpour A, Chehrassan M, Sadighi M, Karimi A, Azizmohammad Looha M, Jafari Kafiabadi M. Soft Tissue Sarcoma of Extremities: Descriptive Epidemiological Analysis According to National Population-based Study. Arch Bone Jt Surg. 2022;10(1):67–77. pmid:35291240
- 30. Maretty-Nielsen K, Aggerholm-Pedersen N, Safwat A, Baerentzen S, Pedersen AB, Keller J. Prevalence and prognostic impact of comorbidity in soft tissue sarcoma: a population-based cohort study. Acta Oncol. 2014;53(9):1188–96. pmid:24588412