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Frontiers in Cardiovascular Medicine logoLink to Frontiers in Cardiovascular Medicine
. 2022 Oct 13;9:951940. doi: 10.3389/fcvm.2022.951940

Fatal heart disease in patients with bone and soft tissue sarcoma

Bei Chen 1,2,3, Xin Zhao 2, Xiying Li 2, Jun Liu 2,*, Juyu Tang 1,3,*
PMCID: PMC9606780  PMID: 36312272

Abstract

Background/purpose

With improved cancer survivorship, non-cancer events, especially heart disease (HD), have become the underlying cause of death in cancer patients, but the risk of HD mortality in sarcoma patients remains poorly characterized. Therefore, our purpose was to: (1) identify sarcoma patients at the highest risk of fatal HD compared with the general population, (2) identify patients and sarcoma characteristics associated with a higher risk of HD death, and (3) determine if chemotherapy increased the risk of HD death in sarcoma patients.

Methods

From 1975 to 2016, we identified patients diagnosed with bone and soft tissue sarcoma from the Surveillance, Epidemiology, and End Results (SEER) database in the US. Standardized mortality ratios (SMRs) were evaluated using mortality data from the general population collected by the National Center for Health Statistics. This was the largest retrospective cohort study of fatal HD in individuals with sarcoma.

Results

In 80,905 sarcoma patients observed for 530,290 person-years, 3,350 deaths from HD were identified with a mortality of 631.7/100,000 person-years. The SMR of death from HD was 1.38 (95% CI: 1.33–1.42). The highest risks of death from HD were observed in patients with Ewing sarcoma (SMR = 5.44; 95% CI: 3.38–8.75) and osteosarcoma (SMR = 1.92; 95% CI: 1.55–2.38). Patients diagnosed at < 19 years old had the highest SMR in all age subgroups, and a higher risk of fatal HD relative to the general population was observed in sarcoma survivors diagnosed at < 85 years old. In patients diagnosed at < 19 years old, HD plurality occurred in those with Ewing sarcoma (29.4%) and osteosarcoma (32.4%) and at > 35 years old, HD plurality occurred in those diagnosed with liposarcoma (19.0%) and malignant fibro histiocytoma (MFH) (23.6%). For sarcoma survivors, HD mortality risks were highest within the first year after diagnosis (SMR = 1.31; 95% CI: 1.21–1.41), and this risk remained elevated throughout follow-up compared with the general population. Subgroup analyses indicated that chemotherapy significantly increased the risk of fatal HD in patients with localized osteosarcoma (Hazard ratio (HR) = 3.18; 95% CI: 1.24–8.13; P = 0.016), but not in patients with other histological sarcoma subtypes and clinical stages.

Conclusion

The risk of death from HD mainly varied in patients with different histological sarcoma subtypes and clinical stages. Chemotherapy increased the risk of fatal HD in patients with localized osteosarcoma. To lower the risk of fatal HD in patients with sarcoma, we call for enhanced multidisciplinary cooperation, including cardiologists and orthopedic surgeons.

Keywords: sarcoma, chemotherapy, osteosarcoma, heart diseases, standardized mortality ratio

Introduction

Over several decades, heart diseases (HD) have become the first leading cause of death globally, and in 2019, killed approximately nine million individuals, accounting for 9% of all deaths (1). Cancer and HD may occur separately in patients, or cancer may cause HD via non-bacterial thrombotic endocarditis and chemoradiation therapy (24). As survival rate of cancer patients improve, medical officers have gradually realized that the risk of death from other non-cancer diseases in cancer patients was higher when compared with the general population (57), furthermore, HD as the first leading cause of non-cancer death among cancer patients have attracted more and more attention from clinicians (79).

Bone and soft tissue sarcoma comprise several rare malignant tumors which arise from mesenchymal tissue (10), they are responsible for more deaths than testicular cancer, Hodgkin’s disease, and thyroid cancer combined due to their more recurrent and metastatic nature (11). The standard therapy for patients with sarcoma is neoadjuvant chemotherapy, surgical resection, and adjuvant chemotherapy (12). Anthracyclines are commonly used chemotherapy drugs, but may cause HD, reduce the quality of life in patients, and increase mortality in sarcoma patients (3). Previous studies reporting the risk of HD in sarcoma patients were limited by small sample sizes and data collected primarily at single institutions (1316). Currently, limited guidelines are available on fatal HD prevention, identification, or management, specifically in sarcoma patients. One strategy aimed at preventing fatal HD in this group is to identify and target subgroups at greatest HD risk, therefore, retrospective cohort studies such as ours could be used by clinicians to generate survivorship programs and mitigate HD risks in these patients.

In our study, we had the following objectives: (1) to identify sarcoma patients at highest risk of fatal HD compared with the general population, (2) to identify patients and sarcoma characteristics associated with a higher risk of HD death, and (3) to determine if chemotherapy increased the risk of HD death in sarcoma patients.

Materials and methods

In this retrospective cohort study, we used the Surveillance, Epidemiology, and End Results (SEER) database at the National Cancer Institute, which comprised 18 registries and covered approximately 28% of the US general population (17). Given that anthracyclines or cisplatin were discovered in the 1980s, we included patients diagnosed with sarcoma between 1975 and 2016 (18). As a comparison, general population mortality data, spanning 1969–2016 from the National Center for Health Statistics, were used (5, 17, 19). Using exclusion criteria (Figure 1), we identified the final study cohort. Patients whose information was obtained solely from death certificates or autopsies were excluded due to no survival time data (<1.5% of patients). Patients diagnosed with bone and soft tissue sarcoma without a definite socioeconomic status were also excluded (11). Sarcomas were classified into ten histological subtypes according to the International Classification of Disease for Oncology third revision (ICD-O-3), and included chondrosarcoma, osteosarcoma, Ewing sarcoma, liposarcoma, malignant fibro histiocytoma (MFH), leiomyosarcoma, fibrosarcoma, synovial sarcoma, Malignant Peripheral Nerve Sheath Tumor (MPNST), and others (ICD-O-3 codes are shown in Table 1) (11).

FIGURE 1.

FIGURE 1

Flowchart describing initial dataset and exclusions leading to final study cohorts.

TABLE 1.

Death from HD among patients with bone and soft tissue sarcomas by demographic and tumor characteristics.

Characteristic Patients with
cancer in SEER
HD death Person-years accrued Mortality1 SMR2 95% CI


No. % No. %
Sex
Female 36283 45 1353 40 247636 546.4 1.45 1.37–1.53
Male 44622 55 1997 60 282655 706.5 1.33 1.28–1.39
Race3
White 65618 81 2876 84 433078 664.1 1.35 1.30–1.40
Black 8530 11 303 9 54297 558.0 1.48 1.32–1.66
Other 6757 8 171 5 42915 398.5 1.70 1.47–1.98
American Indian/Alaska Native 553 1 12 1 3762 318.9 2.13 1.21–3.75
Asian or Pacific Islander 5430 7 149 4 33934 439.1 1.70 1.45–2.00
Unknown 774 1 10 1 5218 191.6 1.42 0.77–2.64
Year of diagnosis
1975–1977 1667 2 194 6 22941 845.6 1.75 1.52–2.02
1978–1980 1797 2 183 5 25057 730.3 1.86 1.61–2.15
1981–1983 1879 2 184 5 25039 734.8 2.00 1.73–2.31
1984–1986 1986 2 180 5 25146 715.8 1.73 1.50–2.00
1987–1989 2055 3 180 5 26061 690.7 1.61 1.39–1.86
1990–1992 2683 3 206 6 31502 653.9 1.65 1.44–1.89
1993–1995 3593 4 237 7 38861 609.9 1.43 1.26–1.62
1996–1998 3984 5 251 7 40156 625.1 1.37 1.21–1.55
1999–2001 7253 9 376 11 63231 594.6 1.37 1.24–1.52
2002–2004 9463 12 372 11 71767 518.3 1.09 0.98–1.20
2005–2007 9997 12 347 10 60811 570.6 1.14 1.03–1.27
2008–2011 14594 18 387 12 64184 603.0 1.19 1.08–1.32
2012–2016 19954 25 253 8 35529 712.1 1.29 1.14–1.46
Marital status
Married 38650 48 1690 50 257737 655.7 1.24 1.18–1.30
Unknown 4312 5 233 7 26155 890.8 1.57 1.38–1.78
Unmarried 37943 47 1427 43 246397 579.1 1.54 1.47–1.63
Education4
High 26221 32 888 27 137715 644.8 1.39 1.30–1.49
Median 27786 34 1227 37 190351 644.6 1.38 1.30–1.45
Low 26898 33 1235 37 202224 610.7 1.37 1.29–1.44
Income4
High 26657 33 1159 35 191456 605.4 1.32 1.24–1.39
Median 23844 29 910 27 156387 581.9 1.28 1.20–1.37
Low 30404 38 1281 38 182447 702.1 1.52 1.44–1.61
Insurance
Uninsured 1259 2 13 1 3741 347.5 2.25 1.31–3.88
Any Medicaid 5668 7 73 2 15481 471.5 2.13 1.69–2.68
Insured 29498 36 621 19 95223 652.1 1.13 1.04–1.22
Unknown 44480 55 2643 78 415844 635.6 1.44 1.38–1.49
Histology5
Ewing sarcoma 3055 4 17 1 21430 79.3 5.44 3.38–8.75
Osteosarcoma 6504 8 83 2 46552 178.3 1.92 1.55–2.38
Synovial sarcoma 3171 4 42 1 23181 181.2 1.55 1.14–2.10
MPNST 2116 3 64 2 11374 562.7 1.57 1.23–2.00
Chondrosarcoma 5941 7 232 7 50229 461.9 1.37 1.20–1.55
MFH 8492 10 775 23 66089 1172.7 1.34 1.25–1.44
Fibrosarcoma 4102 5 185 6 29838 620.0 1.27 1.10–1.47
Liposarcoma 10819 13 623 19 81894 760.7 1.26 1.16–1.36
Leiomyosarcoma 7532 9 338 10 41938 805.9 1.18 1.06–1.31
Chordoma 1605 2 55 2 10147 542.0 1.05 0.81–1.37
Others 27568 34 936 28 147614 634.1 1.59 1.49–1.69
Grade at presentation6
Grade I 9595 12 485 14 84323 575.2 1.22 1.11–1.33
Grade II 10074 12 438 13 80079 547.0 1.23 1.12–1.35
Grade III 11701 14 429 13 58801 729.6 1.39 1.27–1.53
Grade IV 17159 21 559 17 76839 727.5 1.34 1.24–1.46
Unknown 32376 40 1439 43 230247 625.0 1.51 1.43–1.59
Stage at presentation
Localized 42042 52 2152 64 332076 648.0 1.33 1.27–1.38
Regional 19671 24 706 21 126953 556.1 1.32 1.23–1.42
Distant 12414 15 199 6 30812 645.8 2.11 1.84–2.42
Unknown 6778 8 293 9 40448 724.4 1.60 1.42–1.79
Chemotherapy
No/Unknown 57208 71 3059 91 395330 773.8 1.35 1.31–1.40
Yes 23697 29 291 9 134960 215.6 1.69 1.51–1.90
Radiotherapy
No/Unknown 52386 65 2314 69 355007 651.8 1.49 1.43–1.56
Yes 28519 35 1036 31 175283 591.0 1.17 1.10–1.25
Surgery
None 14481 18 427 13 40693 1049.3 2.16 1.96–2.37
Yes 64412 80 2826 84 476861 592.6 1.29 1.24–1.34
Unknown 2012 2 97 3 12736 761.6 2.04 1.67–2.49
All sarcoma patients 80905 100 3350 100 530290 631.7 1.38 1.33–1.42

HD, heart diseases; SEER, Surveillance, Epidemiology, and End Results; SMR, standardized mortality ratio; MFH, malignant fibrohistiocytoma; MPNST, Malignant Peripheral Nerve Sheath Tumor; NOS, not of specific.

1Per 100,000 person-years.

2SMRs were estimated as the ratios of observed to expected number of deaths. Observed number of HD death represent the total number of deaths from HD among patients with sarcoma recorded during the study period. Expected death represent the number of individuals who died of HD in the general population with a similar distribution of age at diagnosis (5-year intervals), sex, race (white, black, and other), and calendar year of diagnosis (3-year intervals). The calculation for SMRs were adjusted to the age, sex, race/ethnicity, and calendar year distributions between sarcoma patients and the general population.

3Others included American Indian/AK Native, Asian/Pacific Islander and unknown race.

4Education status and income level were categorized into tertiles.

5ICD-O-3: Chondrosarcoma, 9220–9243; Osteosarcoma, 9180–9200; Ewing sarcoma, 9260; Liposarcoma, 8850–8858; MFH, 8830; Leiomyosarcoma, 8890–8891 and 8896; Synovial sarcoma, 9040–9044; MPNST, 9540 and 9561; Chordoma, 9370–9372.

6Grade I: Well differentiated; Grade II: Moderately differentiated; Grade III: Poorly differentiated; Grade IV: Undifferentiated; anaplastic.

We extracted demographic data, including age at diagnosis, sex (female, male), race (white, black, and others), calendar year of diagnosis (1975–2016), marital status at diagnosis (married, unmarried, and unknown), insurance status (insured, Medicaid, uninsured, unknown), and socioeconomic indicators (income and educational status). Income (median family income) and educational level (percentage of individuals > 25 years of age with at least a high school degree) from county-level data were calculated by referring to 2000 US census data and categorizing data into tertiles (high, median, low). Tumor-related characteristics included histological subtype, grade (I–IV), clinical sarcoma stage (localized, regional, distant, and unknown), and treatment information (chemotherapy, radiotherapy, and surgery status). Time of follow-up and cause of death were also available and collected. Patients were considered to have committed HD death if the cause of death variable was coded as “Diseases of Heart (50060).”

For objective 1, we calculated standardized mortality ratios (SMRs), which provided the relative risk of HD death for sarcoma patients when compared with all US residents, stratified by histological subgroup. SMRs and 95% confidence intervals (CIs) were calculated as previously described (19, 20). Briefly, SMRs were estimated as the ratio of observed to expected numbers of deaths. The observed number of HD deaths represented the total number of deaths from heart events in sarcoma patients during the follow-up period; the expected number of deaths represented the number of deaths from heart events in the general population with a similar age at diagnosis, sex, race, and calendar year distribution. Five-year age categories and three-year calendar categories were used for standardization (21). Mortality from fatal HD was calculated as the number of deaths from HD divided by person-years at risk (20).

For objective 2, considering other competitive risk events, we plotted cumulative incidence curves and compared them using the Gray test. Furthermore, we constructed logistic regression and multivariate Cox proportional hazards models to identify risk factors associated with a higher risk of HD death in sarcoma patients.

For objective 3, we conducted subgroup analysis by histological subtype and clinical stage to determine if chemotherapy increased the risk of fatal HD in sarcoma patients. The survival time was from sarcoma diagnosis until fatal HD; values recorded as 0 months in the SEER database were converted to one-half of a month according to accepted epidemiological practices (19). Statistical significance was accepted at P < 0.05 (two-sided). Analyses were performed using SEER*Stat software version 8.3.6 and R version 3.51 statistical software.

Results

In total, 3,350 HD deaths were identified in 80,905 patients with bone and soft tissue sarcoma over 530,291 person-years, and provided an age-, sex-, race-, and year-adjusted HD mortality of 631.7/100,000 person-years. The corresponding HD mortality in the general US population was 16.7/100,000 person-years. This generated an SMR = 1.38 (95% CI: 1.33–1.42). The survival time range was 0–39.25 years, with a mean survival time of 7.34 years for sarcoma patients dying from HD.

Sarcoma patient risk of fatal heart disease versus the general population

The characteristics of sarcoma patients and those who died of HD vs. all cancer patients are shown (Table 1). Higher SMRs for fatal HD in patients with sarcoma were associated with the female sex (546.4/100,000 person-years; SMR = 1.45; 95% CI: 1.37–1.53), the American Indian/Alaskan Native race (318.9/100,000 person-years; SMR = 2.13; 95% CI: 1.21–3.75), and an unmarried status (579.1/100,000 person-years; SMR = 1.54; 95% CI: 1.47–1.63). For patients as a whole, the risk of fatal HD was higher when compared with the general population over the 40 years covered in the SEER data, except for those diagnosed between 2002 and 2004 (518.3/100,000 person-years; SMR = 1.09; 95% CI: 0.98–1.20). Patients with high and low educational levels were equal likely to die from HD: 32% vs. 33%. Patients with low income levels (SMR = 1.52; 95% CI: 1.44–1.61) and an uninsured status (SMR = 2.25; 95% CI: 1.31–3.88) had a higher SMR for fatal HD when compared with those with a high income level (SMR = 1.32; 95% CI: 1.24–1.39) and an insured status (SMR = 1.13; 95% CI: 1.04–1.22). Patients diagnosed at a younger age had a higher SMR for HD, and SMRs gradually declined as patients were diagnosed at later ages (Table 2); patients < 19 years old had an SMR = 9.46 (95% CI: 6.76–13.24, 32.7/100,000 person-years) vs. >85 years old who had an SMR = 1.04 (95% CI: 0.96–1.12, 7,295.3/100,000 person-years). Fatal HD in sarcoma patients as a function of age group is shown (Figure 2). In patients diagnosed at <19 years old, HD plurality occurred in those with Ewing sarcoma (29.4%) and osteosarcoma (32.4%). In contrast, in patients diagnosed at >35 years old, HD plurality occurred in those diagnosed with liposarcoma (19.0%) and MFH (23.6%).

TABLE 2.

Risk of fatal HD among patients with sarcoma by age at diagnosis.

Age at diagnosis (years) Mortality in
general
population1
Mortality in
patients with sarcoma2
Person-years accrued
No. of deaths

SMR3

95% CI
00–19 2.6 32.7 103,970 34 9.46 6.76–13.24
20–29 4.5 42.7 56,215 24 7.24 4.86–10.81
30–34 7.7 76.9 31,216 24 5.59 3.75–8.34
35–39 14.5 113.7 35,173 40 4.11 3.01–5.60
40–44 29.2 170.1 37,626 64 3.09 2.42–3.95
45–49 58.8 217.6 40,893 89 2.17 1.77–2.68
50–54 109.5 330.0 41,213 136 1.96 1.65–2.32
55–59 188.7 481.2 39,694 191 1.71 1.49–1.97
60–64 310.4 709.5 36,925 262 1.60 1.41–1.80
65–69 508.0 1,050.7 33,121 348 1.55 1.40–1.72
70–74 804.0 1,501.6 27,903 419 1.37 1.24–1.51
75–79 1308.2 2,303.0 22,535 519 1.31 1.20–1.43
80–84 2133.1 3,636.1 14,658 533 1.22 1.12–1.33
85+ 3586.2 7,295.3 9,142 667 1.04 0.96–1.12

HD, heart diseases; SMR, standardized mortality ratio.

1Per 100,000 person-years. Reference population: general US population, 1969–2016.

2Among persons with sarcoma in the populations served by the SEER program.

3Adjusted to the race and sex distributions between patients and the general population.

FIGURE 2.

FIGURE 2

Fatal HD among sarcoma patients as a function of age group. (A) The y-axis depicts the absolute number of HD deaths and the x-axis depicts the age group at time of diagnosis. The colors depict the histological subtypes of sarcoma. (B) The y-axis depicts the relative number of HD deaths and the x-axis depicts the age group at time of diagnosis. The colors depict the histological subtypes of sarcoma.

Histological sarcoma subtype is associated with a higher risk of fatal heart disease

The risk of fatal HD in patients with most sarcoma subtypes was higher when compared with the general US population, except for chordoma (542.0/100,000 person-years; SMR = 1.05; 95% CI: 0.81–1.37) (Table 1). The highest SMR was observed in patients with Ewing sarcoma (79.3/100,000 person-years; SMR = 5.44; 95% CI: 3.38–5.75), followed by osteosarcoma (178.3/100,000 person-years; SMR = 1.92; 95% CI: 1.55–2.38), MPNST (562.7/100,000 person-years; SMR = 1.57; 95% CI: 1.23–2.00), and synovial sarcoma (181.2/100,000 person-years; SMR = 1.55; 95% CI: 1.14–2.10). Also, patients with MFH had the highest mortality for fatal HD across all patients (1172.7/100,000 person-years; SMR = 1.34; 95% CI: 1.25–1.44). In patients with Ewing sarcoma, osteosarcoma, MPNST, and MFH with chemotherapy a higher relative risk of fatal HD was observed when compared with the general population (Table 3). However, patients with synovial sarcoma (SMR = 1.69; 95% CI: 0.88–3.52), chondrosarcoma (SMR = 1.10; 95% CI: 0.52–2.30), fibrosarcoma (SMR = 1.28; 95% CI: 0.64–2.56), liposarcoma (SMR = 1.25; 95% CI: 0.83–1.88), leiomyosarcoma (SMR = 1.30; 95% CI: 0.87–1.94), and chordoma (SMR = 0.66; 95% CI: 0.09–4.67), and receiving chemotherapy had an equal risk when compared with the general population.

TABLE 3.

Standardized mortality ratios (SMRs) of fatal HD among patients with sarcoma by histology and chemotherapy status.


Histology
Patients without chemotherapy
Patients with chemotherapy
No. of deaths No. of patients Person-years Mortality1 SMR (95% CI) No. of deaths No. of patients Person-years Mortality1 SMR (95% CI)
Ewing sarcoma 3 241 1,796 167.0 5.12 (1.65–15.87) 14 2,814 19,634 71.3 5.52 (3.27–9.31)
Osteosarcoma 45 1,683 11,899 378.2 1.49 (1.11–1.99) 38 4,821 34,654 109.7 2.93 (2.13–4.02)
Synovial sarcoma 33 1,797 14,677 224.8 1.51 (1.08–2.13) 9 1,374 8,504 105.8 1.69 (0.88–3.25)
MPNST 57 1,591 9,338 610.4 1.47 (1.33–1.90) 7 525 2,037 343.7 3.59 (1.71–7.52)
Chondrosarcoma 225 5,352 47,285 475.8 1.38 (1.21–1.57) 7 589 2,944 237.8 1.10 (0.52–2.30)
MFH 716 6,973 56,245 1,273.0 1.33 (1.24–1.43) 59 1,519 9,845 599.3 1.41 (1.09–1.82)
Fibrosarcoma 177 3,613 27,338 647.4 1.27 (1.10–1.48) 8 489 2,500 320.0 1.28 (0.64–2.56)
Liposarcoma 600 9,735 75,766 791.9 1.26 (1.16–1.36) 23 1,084 6,129 375.3 1.25 (0.83–1.88)
Leiomyosarcoma 314 5,997 36,725 855.0 1.17 (1.05–1.31) 24 1,535 5,214 460.3 1.30 (0.87–1.94)
Chordoma 54 1,532 9,782 552.0 1.06 (0.81–1.39) 1 73 366 273.3 0.66 (0.09–4.67)
Others 835 18,694 104,478 799.2 1.56 (1.46–1.67) 101 8,874 43,136 234.1 1.80 (1.48–2.18)

SMR, standardized mortality ratio; HD, heart diseases; MFH, Malignant fibrohistiocytoma; MPNST, Malignant Peripheral Nerve Sheath Tumor.

1Per 100,000 person-years.

Risk of heart disease death over time after diagnosis

For all sarcoma subtypes, the risk of death from HD was higher relative to the general population in the first year after a diagnosis, but decreased gradually from 1–5 years, but then increased after this (Table 4). The relative risk of fatal HD in sarcoma patients when compared with the general population was highest in the 10 years after a sarcoma diagnosis (SMR = 2.85; 95% CI: 2.68–3.04). For most sarcoma types, the risk of death from HD was equal to the general population in the first year of diagnosis. For patients with osteosarcoma, the relative risk was higher when compared with the general population in the first year after a sarcoma diagnosis (SMR = 1.73; 95% CI: 1.12–2.69) and after 10 years (SMR = 4.75; 95% CI: 3.43–6.59).

TABLE 4.

Fatal HD among patients with sarcoma by histological subtypes and years since diagnosis.


Histology
Time since diagnosis
0–1 Year 1–5 Years 5–10 Years >10 Years
All
No. of deaths 675 1016 720 939
Person-years 69,322 181,220 130,829 154,069
SMR1 1.31 0.94 1.32 2.85
95%CI 1.21–1.41 0.89–1.00 1.22–1.42 2.68–3.04
Chondrosarcoma
No. of deaths 27 73 38 94
Person-years 5,388 16,056 12,997 16,202
SMR 0.9 1.05 0.92 2.98
95%CI 0.62–1.31 0.84–1.33 0.67–1.27 2.44–3.65
Chordoma
No. of deaths 9 16 17 13
Person-years 1,458 4,184 2,643 1,973
SMR 0.84 0.61 1.48 2.77
95%CI 0.44–1.62 0.37–0.99 0.92–2.38 1.61–4.78
Ewing sarcoma
No. of deaths 1 4 3 9
Person-years 2,804 7,044 4,947 6,844
SMR 1.28 3.42 4.81 15.16
95%CI 0.18–9.09 1.28–9.11 1.55–14.91 7.89–29.13
Fibrosarcoma
No. of deaths 33 62 38 52
Person-years 3,685 10,331 7,218 8,885
SMR 1.1 0.91 1.17 3.12
95%CI 0.78–1.54 0.71–1.17 0.85–1.61 2.38–4.1
Leiomyosarcoma
No. of deaths 72 115 77 74
Person-years 6,450 16,327 10,387 9,252
SMR 1.13 0.86 1.25 2.33
95%CI 0.89–1.42 0.72–1.03 1.00–1.57 1.86–2.93
Liposarcoma
No. of deaths 72 153 162 236
Person-years 9,812 28,926 21,418 22,498
SMR 0.88 0.73 1.28 2.89
95%CI 0.70–1.11 0.62–0.85 1.10–1.49 2.54–3.28
MFH
No. of deaths 120 250 184 221
Person-years 7,472 20,681 16,734 21,766
SMR 1.06 0.99 1.35 2.60
95%CI 0.89–1.27 0.87–1.12 1.17–1.56 2.28–2.97
MPNST
No. of deaths 14 19 12 19
Person-years 1,805 4,148 2,872 2,677
SMR 1.62 1.02 1.32 3.8
95%CI 0.96–2.74 0.65–1.60 0.75–2.32 2.43–5.96
Osteosarcoma
No. of deaths 20 15 12 36
Person-years 5,743 14,378 10,884 15,972
SMR 1.73 0.96 1.33 4.75
95%CI 1.12–2.69 0.58–1.59 0.76–2.35 3.43–6.59
Synovial sarcoma
No. of deaths 8 10 7 17
Person-years 2,872 7,842 5,681 7,005
SMR 1.46 0.93 1.12 3.35
95%CI 0.73–2.91 0.50–1.74 0.53–2.35 2.08–5.39
Others
No. of deaths 299 299 170 168
Person-years 21,827 51,298 35,044 40,989
SMR 1.87 1.12 1.51 2.82
95%CI 1.67–2.09 1.00–1.25 1.30–1.76 2.43–3.28

SMR, standardized mortality ratio; MFH, Malignant fibrohistiocytoma; MPNST, Malignant Peripheral Nerve Sheath Tumor; NOS, not of specific.

1Reference population: general US population, 1969 to 2016. Adjusted to the age, sex and race distributions between patients and the general population.

Characteristics associated with a higher risk of fatal heart disease

From multivariable logistic regression (Table 5) of sarcoma patients, older age at diagnosis [odds ratio (OR) = 1.06; 95% CI: 1.05–1.07; P < 0.001], male sex (OR = 1.44; 95% CI: 1.33–1.56; P < 0.001), black race (OR = 1.28; 95% CI: 1.12–1.45; P < 0.001), unmarried status (OR = 1.22; 95% CI: 1.13–1.33; P < 0.001), and a low income (OR = 1.16; 95% CI: 1.05–1.29; P = 0.004) were associated with significantly greater odds of dying from HD. Neither educational level nor insurance status were associated with a risk of dying from HD in the multivariable model. Moreover, sarcoma patients with distant metastases of sarcoma had a lower OR of fatal HD than patients with localized sarcoma (OR = 0.36; 95% CI: 0.3–0.43; P < 0.001). Receiving chemotherapy was associated with marginally lower odds of fatal HD (vs. without chemotherapy; OR = 0.77; 95% CI: 0.67–0.88; P < 0.001). As shown (Table 5 – Cox proportional hazards model in the right panel), the HRs of patients who died of HD are stratified by subgroup. In the Cox regression model, receiving radiotherapy (vs. without radiotherapy; HR = 0.80; 95% CI: 0.74–0.87; P < 0.001) and surgery (vs. without surgery; HR = 0.56; 95% CI: 0.50–0.63; P < 0.001) was still associated with a lower odds of fatal HD.

TABLE 5.

Odds ratios and hazard ratios of fatal HD among sarcoma patients.

Logistic regression model
Cox proportional hazards model
Odds ratio 95% CI P-value Hazard ratio 95% CI P-value
Age at diagnosis1 1.06 1.05–1.07 <0.001 1.10 1.09–1.12 <0.001
Sex
Female Reference Reference
Male 1.44 1.33–1.56 <0.001 1.63 1.51–1.75 <0.001
Race
White Reference Reference
Black 1.27 1.11–1.45 <0.001 1.33 1.18–1.50 <0.001
Other 0.83 0.70–0.97 0.025 0.79 0.68–0.93 0.003
Year of diagnosis1 0.94 0.92–0.95 <0.001 0.97 0.96–0.98 <0.001
Marital status
Married Reference Reference
Unmarried 1.22 1.13–1.33 <0.001 1.48 1.37–1.60 <0.001
Unknown 1.33 1.14–1.55 <0.001 1.27 1.11–1.47 0.001
Income
High Reference Reference
Medium 1.00 0.91–1.09 0.922 1.02 0.94–1.12 0.592
Low 1.16 1.05–1.29 0.004 1.22 1.11–1.34 <0.001
Education
High Reference Reference
Medium 0.96 0.86–1.07 0.428 0.97 0.88–1.07 0.542
Low 0.99 0.88–1.11 0.829 0.99 0.89–1.11 0.894
Insurance
Uninsured Reference Reference
Any Medicaid 1.03 0.58–1.96 0.923 0.94 0.70–2.14 0.831
Insured 0.85 0.51–1.56 0.566 0.59 0.34–1.02 0.060
Unknown 1.27 0.76–2.34 0.399 0.59 0.34–1.03 0.062
Grade at presentation
Grade I Reference Reference
Grade II 0.90 0.78–1.03 0.127 1.07 0.94–1.22 0.312
Grade III 0.83 0.72–0.96 0.010 1.41 1.23–1.61 <0.001
Grade IV 0.78 0.68–0.89 <0.001 1.35 1.19–1.54 <0.001
Other 0.84 0.75–0.94 0.003 1.21 1.09–1.35 <0.001
Stage at presentation
Localized Reference Reference
Regional 0.76 0.69–0.84 <0.001 1.02 0.94–1.12 0.589
Distant 0.36 0.31–0.43 <0.001 1.31 1.12–1.53 <0.001
Unknown 0.70 0.61–0.81 <0.001 0.91 0.80–1.04 0.156
Radiotherapy
No/Unknown Reference Reference
Yes 0.84 0.77–0.91 <0.001 0.80 0.74–0.87 <0.001
Chemotherapy
No/Unknown Reference Reference
Yes 0.77 0.67–0.88 <0.001 0.97 0.85–1.11 0.659
Surgery
None Reference Reference
Yes 1.18 1.04–1.33 0.009 0.56 0.50–0.63 <0.001
Unknown 0.53 0.41–0.67 <0.001 0.86 0.63–1.00 0.050

HD, heart diseases; NOS, not of specific.

1Increase 1 year.

Subgroup analysis of the risk of fatal heart disease

We conducted subgroup analysis of the study cohort based on histological sarcoma subtypes. Cumulative incidence curves are shown (Figure 3). Survival analysis indicated that all patients with sarcoma benefited from chemotherapy except those with chordoma (P = 0.280) and Ewing sarcoma (P = 0.555). To further determine if chemotherapy increased the risk of fatal HD in patients with sarcoma, we conducted subgroup analysis by clinical stage. In the subgroup analysis, chemotherapy could protect patients with regional Ewing sarcoma from dying from HD (Table 6). Moreover, we found that chemotherapy could increase significantly the risk of fatal HD among patients with localized osteosarcoma (HR = 3.18; 95% CI: 1.24–8.13; P = 0.016), but not those with regional (HR = 0.63; 95% CI: 0.28–1.40; P = 0.259) or advanced osteosarcoma (HR = 0.25; 95% CI: 0.06–1.03; P = 0.055). For other subgroups with sarcoma at different clinical stages, chemotherapy did not have any effect on the risk of fatal HD.

FIGURE 3.

FIGURE 3

Subgroup analysis: the graph showed cumulative incidence curves of death resulting from heart events. MFH, malignant fibro histiocytoma; MPNST, malignant peripheral nerve sheath tumors.

TABLE 6.

Subgroup analysis of fatal HD among patients with sarcoma by histology and clinical stage.

Histology Clinical stage HR1 95% CI P-value
Ewing sarcoma
All 0.97 0.85–1.11 0.659
Localized Inf 0.00 – Inf 0.999
Regional 0.04 0.01–0.29 0.001
Distant 0.00 0.00 – Inf 1.000
Osteosarcoma
All 0.97 0.85–1.11 0.659
Localized 3.18 1.24–8.13 0.016
Regional 0.63 0.28–1.40 0.259
Distant 0.25 0.06–1.03 0.055
Synovial sarcoma
All 0.97 0.85–1.11 0.659
Localized 0.40 0.06–2.86 0.363
Regional 3.06 0.85–11.11 0.088
Distant Inf 0.00–Inf 1.000
MPNST
All 0.97 0.85–1.11 0.659
Localized 4.59 0.85–24.67 0.076
Regional 0.71 0.05–10.57 0.804
Distant 0.87 0.18–4.24 0.867
Chondrosarcoma
All 0.97 0.85–1.11 0.659
Localized 0.44 0.10–1.87 0.268
Regional 1.05 0.30–3.60 0.949
Distant 0.52 0.10–2.81 0.449
MFH
All 0.97 0.85–1.11 0.659
Localized 1.17 0.83–1.65 0.375
Regional 0.89 0.51–1.53 0.667
Distant 0.28 0.07–1.16 0.079
Fibrosarcoma
All 0.97 0.85–1.11 0.659
Localized 0.94 0.36–2.47 0.902
Regional 1.76 0.38–8.23 0.474
Distant 1.06 0.06–18.89 0.968
Liposarcoma
All 0.97 0.85–1.11 0.659
Localized 0.84 0.48–1.45 0.523
Regional 1.33 0.54–3.23 0.534
Distant 0.49 0.06–3.94 0.504
Leiomyosarcoma
All 0.97 0.85–1.11 0.659
Localized 0.83 0.39–1.77 0.635
Regional 1.31 0.57–2.97 0.524
Distant 0.44 0.14–1.39 0.162
Chordoma
All 0.97 0.85–1.11 0.659
Localized 1.66 0.16–17.36 0.673
Regional 0.00 0.00 – Inf 0.998
Distant 0.00 0.00 – Inf 1.000
Others
All 0.97 0.85–1.11 0.659
Localized 0.97 0.70–1.34 0.848
Regional 0.76 0.46–1.24 0.273
Distant 0.47 0.29–0.77 0.003

HD, heart diseases; HR, hazard ratio; MFH, malignant fibrohistiocytoma; MPNST, Malignant Peripheral Nerve Sheath Tumor.

1We performed a survival analysis using a Cox proportional hazards model to calculate hazard ratios (HRs), adjusting for demographics: age, sex, race, year of diagnosis, socioeconomic status, insurance status and tumor characteristics: clinical stage, grade at presentation, radiotherapy and surgery status.

Discussion

With the development of multimodality therapy, including advances in imaging techniques and neoadjuvant chemotherapy, sarcoma patient survival has improved significantly (22). In addition to prolonging survival rates, clinicians are now increasingly concerned about complications caused by sarcoma therapy (20, 23). Several small sample or single-center clinical cohort studies reported that antineoplastic agents such as anthracyclines increased the risk of dying from HD in sarcoma patients (14, 15). However, due to low sarcoma incidence rates and limitations with small sample or single center studies, no robust data are available to inform clinical practice. To address this, and to our knowledge, ours is the largest retrospective cohort study on the risk of fatal HD in patients with bone and soft tissue sarcoma.

We performed a contemporary analysis of the risk of fatal HD in >80,000 sarcoma patients and showed that HD risk varied as a function of age, histological subtype, clinical stage, and time after diagnosis. Earlier studies reported that cancers were associated with a high risk of death from HD (4, 6, 7). We first reported that sarcoma patients had a higher risk of fatal HD when compared with the general US population, which was potentially attributed to antineoplastic agents such as anthracycline (24). Anthracyclines are antibiotics discovered approximately 50 years ago, are used as antineoplastic agents, and are the most successful anticancer therapies ever developed for sarcoma (3). However, a worrisome adverse side effect is ventricular dysfunction and heart failure (25). Due to low sarcoma incidence rates, previous cardio-toxicity studies in sarcoma patients receiving chemotherapy were conducted in small sample or at single centers (1315). In a recent comparative study of 95 patients with sarcoma, approximately 17% developed cardio-toxicity after receiving doxorubicin (26). Indeed, the death rate due to HD in patients receiving chemotherapy was seriously underreported due to inaccurate statistics about cause of death.

The systematic and standardized data collection procedures are used to ensure that the causes of death recoded in SEER are accurate (27); therefore, we believe our study presents a reliable picture of death rates from HD in patients with sarcoma in the US. Using the SEER database, we showed that the incidence rate of fatal HD in sarcoma patients was 631.7/100,000 person-years. In subgroup analyses, chemotherapy for sarcoma only increased the risk of fatal HD in patients with localized osteosarcoma, but not for other subtypes. These subgroups results may be attributed to the low incidence rates of Ewing sarcoma in the SEER database.

Apart from chemotherapy, surgery is the main treatment method for sarcoma as it aims to remove all sarcoma traces from patients (22). In 2005, an estimated 18,000 patients underwent amputation due to bone and soft tissue sarcoma, which was the third leading cause of amputation in the US (28). We showed that 79% of patients underwent sarcoma surgery in the study cohort. These patients typically lost a certain degree of physical activity, which is a known risk factor for cardiovascular events (24, 29). Moreover, earlier reports indicated that sarcoma patients presented a certain degree of anxiety and depression which were related to functional and appearance changes (30, 31). Physical inactivity and demoralization are risk factors for HD (32). In our study, the higher relative risk of fatal HD in sarcoma patients to general population in the first year was possibly attributed to chemotherapy, and the relative risk of fatal HD was highest during follow-up after 10 years, which was possibly attributed to combined physical inactivity and demoralization effects. Therefore, clinicians should orchestrate specific rehabilitation care strategies to help long-term sarcoma survivors improve their exercise regimens. Also, evidence now suggests that exercise may inhibit both early and late doxorubicin-induced cardiotoxicity (33). Likewise, psychological assessments such as the Hamilton Depression and Hamilton Anxiety Scales are necessary for long-term sarcoma survivors (20), and can help orthopedic surgeons identify psychological disorders in patients and allow psychologists commence interventions as early as possible.

Cardiovascular events have typically been regarded as age-related disorders, but in our study, younger patients with sarcoma had a higher relative risk of fatal HD when compared with older patients. In the general population aged < 19 years old, HD mortality was very low, at only 2.6/100,000 person-years. But in similar-aged sarcoma patients, this mortality was 32.7/100,000 person-years due to sarcoma and chemotherapy. Given the high risk of fatal HD among younger patients with sarcoma, clinicians should closely monitor cardiac functions in these younger patients.

Our study had several limitations, most of which were related to the SEER database. Firstly, the database program was limited in terms of detailed information on chemoradiotherapy such as doses and cycles. In a phase III ANNOUNCE trial evaluating cardiotoxicity in patients with soft-tissue sarcoma given doxorubicin, cardiac dysfunction occurred in 2% of patients receiving doses of <450 mg/m2, 3% at 450 – <600 mg/m2, and 1.1% at ≥600 mg/m2 (14). Considering the dose-dependent cardiotoxicity of doxorubicin (34, 35), direct associations must be assessed between chemotherapy dose or cycles and the risk of HD death in sarcoma patients. Future analyses can be augmented by the SEER-Medicare data set, which may elucidate direct relationships with chemotherapy doses and cycles. Secondly, in subgroup analyses, we observed no chemotherapy effects on the risk of fatal HD in other subgroups, such as patients with Ewing sarcoma, inconsistent with previous studies (14, 33, 36). A possible explanation could be the relatively low number of deaths due to cardiovascular events which in turn may have reduced the statistical power of our subgroup analyses, therefore, this requires further investigation. Despite these limitations, ours is the first large sample and population-based study with the longest follow-up times, to explore the risk of HD death in sarcoma patients. Our results are reliable and robust and may be used to guide clinical practice.

Conclusion

This is the first large population-based study on the risk of fatal HD in sarcoma patients, which up to now were rarely reported. Our results suggest that the risk of fatal HD in sarcoma patients is higher than that of the general population, and increases with longer follow-up times. The relative risk of HD to the general population varied in patients with different histological sarcoma subtypes and clinical stage. Subgroup analyses indicated that chemotherapy increased the risk of fatal HD in patients with localized osteosarcoma. To mitigate the risk of fatal HD in sarcoma patients, enhanced multidisciplinary cooperation is warranted, including cardiologists and orthopedic surgeons.

Data availability statement

The original contributions presented in this study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors.

Ethics statement

Ethical review and approval was not required for this study in accordance with the local legislation and institutional requirements. Written informed consent from the participants was not required for this study in accordance with the local legislation and institutional requirements.

Author contributions

BC and JT: conception and design of study. BC and XZ: acquisition of data. BC, XZ, XL, JL, and JT: analysis and/or interpretation of data. BC, XL, JL, and JT: drafting the manuscript. All authors contributed to the article and approved the submitted version.

Funding

This work was supported by the National Natural Science Foundation of China (81871577 by JT) and the Natural Science Foundation of Hunan Province China (2022JJ30001 by JL).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The original contributions presented in this study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors.


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