ORIGINAL RESEARCH article

Front. Oncol., 21 October 2021

Sec. Radiation Oncology

Volume 11 - 2021 | https://doi.org/10.3389/fonc.2021.751180

The Role of Radiotherapy in Soft Tissue Sarcoma on Extremities With Lymph Nodes Metastasis: An IPTW Propensity Score Analysis of the SEER Database

  • Department of Orthopaedics, Xiangya Hospital, Central South University, Changsha, China

Abstract

Background:

Soft tissue sarcomas on extremities with regional lymph nodes metastasis (STSE-RLNM) is a devastating situation. Optimizing therapeutic approaches is vital but hampered by a shortage of randomized trials. We used a population-level database to evaluate radiotherapy’s impact on sarcoma-specific survival (SSS) and overall survival (OS) for surgery for STSE-RLNM.

Methods:

We retrospectively screened data from the SEER database (2004–2015), and 265 patients with STSE-RLNM who received surgery, with (134) or without (131) radiotherapy, were enrolled in this study. A propensity-score-matched analysis with the inverse probability of treatment weighting (IPTW) Kaplan–Meier curve was created. The log-rank test and Cox regression analysis were performed to compare SSS and OS in patients with and without radiotherapy. Further analysis of radiotherapy time was conducted, and the Kaplan–Meier curve and the log-rank test were done. Landmark analysis was introduced to attenuate the immortal bias.

Results:

In the original unadjusted cohort, the radiotherapy + surgery group is associated with improved SSS [hazard ratio (HR), 0.66; 95% CI, 0.47–0.91; p = 0.011] and OS (HR, 0.64; 95% CI, 0.47–0.88; p = 0.006). This significant treatment effect was also noted in IPTW-adjusted Cox regression either on SSS (HR, 0.65; 95% CI, 0.45–0.93; p = 0.020) or on OS (HR, 0.64; 95% CI, 0.46–0.91; p = 0.013). The Kaplan–Meier curve and log-rank test showed that pre- and postoperative radiotherapy was not related to SSS (p = 0.980 or OS (p = 0.890).

Conclusion:

Radiotherapy and surgery has a significant benefit on the prognosis of patients with STSE-RLNM compared to surgery alone. These findings should be considered when making treatment decisions for them.

Introduction

Soft tissue sarcomas (STS) are a heterogeneous group of mesenchymal origin tumors and constitute just 1% of all malignancies. STS can occur anywhere in the body, with the extremities being the most common primary, accounting for 60% of all the STS (, ). Regional lymph node metastasis (RLNM) of soft tissue sarcomas on extremities (STSE) is a rarely observed clinical process. The real incidence of this kind of disease is difficult to determine accurately. There are few outcome studies of patients with sarcoma with lymph node metastases, and most of these indicate inferior survival (–). Despite the poor prognosis, regional lymph node metastasis of soft tissue sarcomas in extremities (STSE-RLNM) has been rarely studied due to its low incidence ().

Radiotherapy is an integral component of limb-sparing therapy for STSE, and the benefit of radiation is more apparent for high- than low-grade tumors. After appropriately delivered radiation and surgery, the local recurrence is expected to be <10% (). However, whether adjuvant radiotherapy has benefits to the overall survival of STSE has been controversial. Previous extensive dataset analyses of the impact of local treatment on survival outcomes for STSE are not consistent. Some studies based on comprehensive population databases like Surveillance, Epidemiology, and End Results (SEER) (, ) and National Cancer Database (NCDB) (–) indicated a survival benefit using radiotherapy in the treatment of high-grade STSE. The other three SEER studies showed no survival benefit for radiotherapy (–). Few studies of radiotherapy in STSE-RLNM exist because of the low incidence of the disease (). To our knowledge, the role of radiotherapy in STSE-RLNM has not been well explored in a study with a comparatively large sample size.

We retrieved related data from the SEER database to overview the radiotherapy’s effect in patients with ESTS-RLNM. Prognosis factors were further analyzed for this rare case.

Materials and Methods

Data Sources and Study Population

The SEER database, covering about 30% of the United States population, collects individual cancer data from 18 registries (). The cancer data include no personal identifying information, and the National Cancer Institute permits data acquisition. We collected individual cancer data from this database via SEER*stat software version 8.3.8. We collected individual data on patients with STSE-RLNM from 2004 to 2015. Inclusion criteria were a diagnosis of soft tissue sarcoma on extremities based on primary site record C47.1, C47.2, C49.1, and C49.2 as the primary first single tumor with regional lymph nodes involved [American Joint Committee on Cancer (AJCC), 6th]. Data with Kaposi’s sarcoma, diagnosis without histology examination, and surgery not performed or unknown were excluded. The follow-up time was set as 12 years. The process of case selection can be illustrated in Figure 1.

Figure 1

Covariates

We extracted data on sociodemographic, tumor-related, and treatment-related characteristics. Patients with STSE-RLNM were classified as those treated with and without radiotherapy. Tumor size was divided according to its influence on sarcoma-specific survival based on X-tile (), and the most significant cutoff size is 150 mm. We divided tumor grades into two groups (I/II and III/IV) based on the degree of tumor differentiation. Based on codes in the SEER database, tumor stages were categorized into regional and distant. Primary endpoints were SSS and OS. SSS was considered as the time from diagnostic confirmation until death from STSE-RLNM. OS was considered as the period from the time from diagnosis to death due to any cause.

Statistical Analysis

Differences in sociodemographic, tumor-related, and treatment-related characteristics between patients treated with surgery alone and surgery plus radiotherapy were assessed by Pearson’s chi-squared test and Fisher’s exact test. We introduced multiple imputation by chained equations (MICE) to deal with missing data on tumor size with relevant values (, ). A comparison of each variable was analyzed by univariable cox regression analysis. Variables reaching clinical significance (p < 0.05) were considered noted. Multivariable cox regression models were created by adjusting for variables selected from the univariate analysis.

Inverse probability of treatment weighting (IPTW) was used to balance the bias of confounding factors that may affect radiotherapy allocation (). We calculated the standardized mean difference (SMD) to assess the balance of baseline characteristics after IPTW. Unadjusted and IPTW-adjusted Kaplan–Meier curves were drawn, and the treatments were analyzed with the log-rank test (). Landmark analysis was introduced to attenuate immortal time bias (). We then recreated IPTW-adjusted multivariable COX regression models and recalculated hazard ratios (HRs). Further analysis of the patients with radiotherapy was performed in a subgroup of radiotherapy time. We drew its Kaplan–Meier curves and compared radiotherapy time groups with the log-rank test.

All the statistical methods and graphs were done by R3.60. p <0.05 that was two-sided was defined as statistical significance.

Results

Characteristics Associated With the Use of Radiotherapy

Between 2004 and 2015, we identified 265 patients with STSE-RLNM who were histologically confirmed as having the primary malignancy with regional lymph nodes involved. A total of 131 (49.4%) received surgery alone, and 134 (50.6%) received radiotherapy and surgery. Baseline characteristics of the original population with STSE-RLNM are shown in Table 1. The number of patients receiving radiotherapy plus surgery was at a rising trend, and the proportion of different treatment groups also shows an escalating trend (Figure 2B). Patients received a nearly equal proportion of treatment in most kinds of histology (Figure 2A). Based on the propensity score, IPTW achieved an optimal balance between the two treatment groups. The SMD value all under 0.1 (Figure 3), indicating that confounding factors’ bias was attenuated.

Table 1

Unadjusted cohortIPTW-adjusted cohort
Surgery aloneRT+ surgeryPSurgery aloneRT+ surgeryP
N131134
Age0.8300.792
 <2025 (19.1%)28 (20.9%)20.8%22.3%
 ≥20106 (80.9%)106 (79.1%)79.2%77.7%
Race0.1720.904
 Other40 ()30 (22.4%)27.5%26.8%
 White91 (69.5%)104 (77.6%)72.5%73.2%
Sex0.9870.932
 Female50 (38.2%)50 (37.3%)34.9%35.5%
 Male81 (61.8%)84 (62.7%)65.1%64.5%
Grade0.7720.993
 I/II11 (8.4%)11 (8.2%)8.0%8.2%
 III/IV76 (58.0%)72 (53.7%)59.1%58.4%
 Unknown44 (33.6%)51 (38.1%)32.9%33.3%
Laterality0.6710.915
 Left66 (50.4%)63 (47.0%)50.2%50.9%
 Right65 (49.6%)71 (53.0%)49.8%49.1%
Histology0.1630.999
 Alveolar soft parts sarcoma4 (3.1%)1 (0.7%)1.3%1.1%
 Blood vessel tumors11 (8.4%)5 (3.7%)5.8%4.9%
 Ewing and Askin sarcoma4 (3.1%)4 (3.0%)2.9%3.5%
 Fibroblastic & myofibroblastic tumors7 (5.3%)4 (3.0%)4.1%4.0%
 Fibrohistiocytic tumors16 (12.2%)7 (5.2%)7.5%7.4%
 Leiomyosarcomas4 (3.1%)4 (3.0%)3.9%3.6%
 Liposarcomas6 (4.6%)6 (4.5%)5.4%5.3%
 Miscellaneous soft tissue sarcomas2 (1.5%)1 (0.7%)0.9%1.1%
 Nerve sheath tumors7 (5.3%)2 (1.5%)1.9%2.2%
 Osseous and chondromatous sarcomas3 (2.3%)3 (2.2%)3.1%2.8%
 Other fibromatous neoplasms1 (0.8%)1 (0.7%)0.9%0.9%
 Rhabdomyosarcomas17 (13.0%)24 (17.9%)16.2%17.7%
 Synovial sarcomas11 (8.4%)21 (15.7%)11.5%11.2%
 Unspecified soft tissue sarcomas38 (29.0%)51 (38.1%)34.6%34.3%
Stage0.6920.975
 Regional80 (61.1%)86 (64.2%)61.8%62.0%
 Distant51 (38.9%)48 (35.8%)38.2%38.0%
Tumor size0.6000.901
 <150 mm91 (69.5%)98 (73.1%)67.5%68.3%
 ≥150 mm40 (30.5%)36 (26.9%)32.5%31.7%
Depth0.0140.972
 Deep77 (58.8%)85 (63.4%)66.5%65.0%
 Superficial15 (11.5%)27 (20.1%)12.6%13.0%
 Unknown39 (29.8%)22 (16.4%)20.9%22.0%
Chemotherapy0.0110.643
 No62 (47.3%)42 (31.3%)40.5%37.5%
 Yes69 (52.7%)92 (68.7%)59.5%62.5%

Sociodemographic and clinical characteristics of study patients.

Figure 2

Figure 3

Treatment effects of Radiotherapy Plus Surgery vs. Surgery Alone on Survival in Different Cohorts

The 5-year OS rates were 37.38% vs. 25.58%, respectively, in the group of patients treated with radiotherapy plus surgery and surgery alone. Similarly, the 5-year SSS rates showed 38.40% vs. 28.36% respectively, in the two groups. After adjusting in IPTW, the difference remained either in 5-year OS rate (40.88% vs. 25.82%) or in 5-year SSS rate (42.46% vs. 29.11%) (Table 2).

Table 2

3-year survival rate5-year survival rate10-year survival rateMedian survival time
Unadjusted SSSSurgery alone37.09%28.36%20.05%20 months
RT + surgery51.24%38.40%34.47%39 months
Unadjusted OSSurgery alone34.30%25.38%17.95%18 months
RT + surgery49.88%37.38%31.58%36 months
IPTW-adjusted SSSSurgery alone39.30%29.11%18.15%21 months
RT + surgery54.51%42.46%36.73%43 months
IPTW-adjusted OSSurgery alone35.97%25.82%16.10%20 months
RT + surgery52.49%40.88%32.65%41 months

Three-year, five-year, ten-year survival rates and median survival time in the unadjusted cohort and IPTW-adjusted cohort.

SSS, sarcoma-specific survival; OS, overall survival.

The Radiotherapy plus surgery group showed a significantly superior survival benefit over surgery alone group either in the unadjusted cohort (OS, P = 0.004; SSS, (p = 0.008) or IPTW-adjusted cohort (OS, p = 0.025; SSS, p = 0.043) (Figure 4). A landmark analysis of the original cohort illustrated that immortal time bias was controlled and significance was still noted in radiotherapy’s effect on the two groups’ prognosis at different periods (Figure 5).

Figure 4

Figure 5

Prognostic Characteristics for the Survival of STSE-RLNMs

In the univariable Cox regression model of the unadjusted cohort (Table 3), treatment with radiotherapy plus surgery reached statistical significance either in SSS [hazard ratio (HR), 0.66; 95% confidence interval (95% CI), 0.48–0.90; p = 0.009] or in OS (HR, 0.64; 95% CI, 0.48–0.8; p = 0.004). In multivariable Cox regression models, the significance remained in SSS (HR, 0.66; 95% CI, 0.47–0.91; p = 0.011) and in OS (HR, 0.64; 95% CI, 0.47–0.88; p = 0.006). After adjustment based on IPTW, the superior benefits of radiotherapy plus surgery are still significant either in SSS (univariable Cox regression: HR, 0.65; 95% CI, 0.46–0.91; p = 0.012; multivariable Cox regression: HR, 0.65; 95% CI, 0.45–0.93; p = 0.020) or in OS (univariable Cox regression: HR, 0.64; 95% CI, 0.46–0.89; p = 0.008; multivariable Cox regression: HR, 0.64; 95% CI, 0.46–0.91; p = 0.013). The characteristics selected in the univariable Cox regression model (p < 0.05) including age, histology, stage, grade, tumor size, and radiotherapy in unadjusted cohort and in IPTW-adjusted cohort (Tables 3–6).

Table 3

SSSOS
HR [95% CI]PHR [95% CI]p
Age<20Reference
≥201.81 [1.18, 2.77]0.0071.78 [1.18, 2.69]0.006
RaceOtherReference
White0.86 [0.61, 1.21]0.3820.77 [0.55, 1.06]0.11
SexFemaleReference
Male1.03 [0.75, 1.42]0.8471.06 [0.78, 1.45]0.702
GradeI/IIReference
III/IV2.53 [1.28, 5.01]0.0082.17 [1.17, 4.05]0.015
Unknown1.69 [0.83, 3.43]0.1461.49 [0.78, 2.85]0.226
LateralityLeftReference
Right0.92 [0.68, 1.26]0.6060.91 [0.67, 1.23]0.538
HistologyLiposarcomaReference
Alveolar soft parts sarcoma3.59 [0.72, 17.82]0.1182.72 [0.61, 12.18]0.191
Blood vessel tumors9.22 [2.62, 32.44]0.0017.45 [2.44, 22.71]<0.001
Ewing tumor and Askin tumor of soft tissue1.66 [0.33, 8.21]0.5361.23 [0.28, 5.51]0.785
Fibroblastic and myofibroblastic tumors3.80 [0.98, 14.73]0.0532.86 [0.83, 9.79]0.095
Fibrohistiocytic tumors2.67 [0.76, 9.38]0.1252.17 [0.71, 6.59]0.172
Leiomyosarcomas4.19 [1.05, 16.75]0.0433.16 [0.89, 11.21]0.075
Miscellaneous soft tissue sarcomas2.04 [0.21, 19.63]0.5381.53 [0.17, 13.76]0.702
Nerve sheath tumors5.47 [1.30, 23.06]0.0214.95 [1.39, 17.65]0.014
Osseous and chondromatous neoplasms of soft tissue2.96 [0.66, 13.22]0.1562.22 [0.56, 8.89]0.259
Other fibromatous neoplasms6.27 [1.05, 37.66]0.0454.74 [0.87, 25.99]0.073
Rhabdomyosarcomas2.50 [0.75, 8.37]0.1362.06 [0.71, 5.95]0.181
Synovial sarcomas3.73 [1.11, 12.53]0.0332.95 [1.01, 8.59]0.047
Unspecified soft tissue sarcomas4.01 [1.25, 12.82]0.0193.24 [1.18, 8.93]0.023
StageRegionalReference
Distant2.10 [1.54, 2.87]<0.0012.05 [1.51, 2.77]<0.001
Tumor_size<150 mmReference
≥150 mm1.88 [1.36, 2.59]<0.0011.83 [1.33, 2.50]<0.001
DepthDeepReference
Superficial1.11 [0.74, 1.69]0.611.02 [0.67, 1.53]0.937
Unknown0.91 [0.62, 1.34]0.6240.88 [0.60, 1.27]0.488
RadiotherapyNoReference
Yes0.66 [0.48, 0.90]0.0090.64 [0.48, 0.87]0.004
ChemotherapyNoReference
Yes0.87 [0.63, 1.20]0.3960.84 [0.62, 1.14]0.252

Univariable Cox regression models for sarcoma-specific survival and overall survival in patients with STSE-RLNM in the unadjusted cohort.

Table 4

SSSOS
HR [95% CI]PHR [95% CI]P
Age<20Reference
≥202.81 [1.67, 4.73]<0.0012.74 [1.66, 4.53]<0.001
HistologyLiposarcomaReference
Alveolar soft parts sarcoma4.49 [0.84, 23.94]0.0783.37 [0.70, 16.17]0.129
Blood vessel tumors10.32 [2.80, 38.05]<0.0018.43 [2.63, 27.03]<0.001
Ewing tumor and Askin tumor of soft tissue2.71 [0.52, 14.16]0.2392.04 [0.43, 9.63]0.369
Fibroblastic and myofibroblastic tumors5.16 [1.29, 20.63]0.023.95 [1.12, 13.95]0.033
Fibrohistiocytic tumors2.33 [0.63, 8.53]0.2031.93 [0.60, 6.15]0.267
Leiomyosarcomas2.95 [0.70, 12.35]0.1392.29 [0.62, 8.50]0.217
Miscellaneous soft tissue sarcomas2.88 [0.29, 28.72]0.3682.18 [0.24, 20.22]0.493
Nerve sheath tumors5.93 [1.39, 25.41]0.0165.43 [1.50, 19.71]0.01
Osseous and chondromatous neoplasms of soft tissue3.34 [0.74, 15.12]0.1172.45 [0.61, 9.89]0.209
Other fibromatous neoplasms9.10 [1.40, 59.16]0.0217.02 [1.19, 41.57]0.032
Rhabdomyosarcomas5.42 [1.51, 19.46]0.0094.51 [1.45, 14.06]0.009
Synovial sarcomas5.09 [1.45, 17.91]0.0114.08 [1.34, 12.47]0.014
Unspecified soft tissue sarcomas4.44 [1.35, 14.58]0.0143.68 [1.30, 10.45]0.014
StageRegionalReference
Distant2.29 [1.61, 3.25]<0.0012.24 [1.60, 3.16]<0.001
GradeI/IIReference
III/IV2.35 [1.12, 4.92]0.0242.02 [1.03, 3.98]0.041
Unknown1.80 [0.83, 3.90]0.1391.60 [0.78, 3.26]0.198
Tumor_size<150 mmReference
≥150 mm1.40 [0.97, 2.03]0.0761.35 [0.94, 1.93]0.101
RadiotherapyNoReference
Yes0.66 [0.47, 0.91]0.0110.64 [0.47, 0.88]0.006

Multivariable Cox regression models for sarcoma-specific survival and overall survival in patients with STSE-RLNM in the unadjusted cohort.

Table 5

SSSOS
HR [95% CI]PHR [95% CI]p
Age<20Reference
≥201.88 [1.22, 2.90]0.0051.83 [1.21, 2.78]0.004
RaceOtherReference
White0.82 [0.58, 1.17]0.2790.71 [0.52, 0.98]0.039
SexFemaleReference
Male1.02 [0.72, 1.44]0.9241.07 [0.77, 1.50]0.683
GradeI/IIReference
III/IV2.52 [1.29, 4.93]0.0072.02 [1.14, 3.57]0.016
Unknown1.88 [0.93, 3.80]0.0811.54 [0.84, 2.81]0.163
LateralityLeftReference
Right0.96 [0.68, 1.35]0.810.94 [0.68, 1.31]0.73
HistologyLiposarcomaReference
Alveolar soft parts sarcoma1.98 [0.23, 16.84]0.5321.42 [0.19, 10.60]0.731
Blood vessel tumors11.40 [3.26, 39.85]<0.0019.00 [3.26, 24.85]<0.001
Ewing tumor and Askin tumor of soft tissue1.49 [0.25, 8.83]0.6581.04 [0.20, 5.35]0.965
Fibroblastic and myofibroblastic tumors3.98 [1.15, 13.69]0.0292.82 [1.02, 7.78]0.046
Fibrohistiocytic tumors2.22 [0.64, 7.75]0.2091.82 [0.65, 5.10]0.252
Leiomyosarcomas4.32 [1.04, 17.97]0.0443.07 [0.89, 10.60]0.076
Miscellaneous soft tissue sarcomas1.04 [0.07, 15.10]0.9750.74 [0.06, 9.68]0.819
Nerve sheath tumors2.89 [0.56, 14.99]0.2072.49 [0.60, 10.41]0.211
Osseous and chondromatous neoplasms of soft tissue3.43 [0.91, 12.98]0.0692.42 [0.78, 7.46]0.124
Other fibromatous neoplasms6.89 [1.63, 29.10]0.0094.90 [1.40, 17.18]0.013
Rhabdomyosarcomas2.33 [0.73, 7.48]0.1541.86 [0.75, 4.66]0.183
Synovial sarcomas4.23 [1.34, 13.36]0.0143.24 [1.32, 7.93]0.01
Unspecified soft tissue sarcomas4.68 [1.56, 14.07]0.0063.58 [1.55, 8.31]0.003
StageRegionalReference
Distant2.10 [1.49, 2.95]<0.0012.04 [1.47, 2.83]<0.001
Tumor_size<150 mmReference
≥150 mm2.06 [1.48, 2.86]<0.0011.92 [1.40, 2.64]<0.001
DepthDeepReference
Superficial1.12 [0.69, 1.80]0.6521.01 [0.63, 1.62]0.978
Unknown0.77 [0.49, 1.19]0.2370.75 [0.50, 1.13]0.169
RadiotherapyNoReference
Yes0.65 [0.46, 0.91]0.0120.64 [0.46, 0.89]0.008
ChemotherapyNoReference
Yes0.84 [0.59, 1.20]0.3350.81 [0.57, 1.14]0.227

Univariable Cox regression models for sarcoma-specific survival and overall survival in patients with STSE-RLNM in the IPTW-adjusted cohort.

Table 6

SSSOS
HR [95% CI]PHR [95% CI]P
Age<20Reference
≥202.64 [1.48, 4.70]0.0012.55 [1.48, 4.40]0.001
GradeI/IIReference
III/IV2.64 [1.26, 5.57]0.012.02 [1.01, 4.06]0.048
Unknown2.32 [1.06, 5.08]0.0351.81 [0.88, 3.73]0.109
HistologyLiposarcomasReference
Alveolar soft parts sarcoma3.06 [0.48, 19.68]0.2392.17 [0.34, 13.63]0.409
Blood vessel tumors12.05 [4.58, 31.67]<0.0019.81 [3.76, 25.60]<0.001
Ewing tumor and Askin tumor of soft tissue2.43 [0.45, 13.21]0.3051.70 [0.31, 9.44]0.545
Fibroblastic and myofibroblastic tumors4.97 [1.82, 13.56]0.0023.62 [1.36, 9.60]0.01
Fibrohistiocytic tumors1.89 [0.69, 5.19]0.2181.61 [0.59, 4.41]0.355
Leiomyosarcomas2.99 [0.89, 10.00]0.0762.18 [0.66, 7.27]0.204
Miscellaneous soft tissue sarcomas1.62 [0.12, 21.89]0.7181.14 [0.09, 14.96]0.919
Nerve sheath tumors2.71 [0.51, 14.47]0.2442.45 [0.50, 11.90]0.267
Osseous and chondromatous neoplasms of soft tissue3.95 [1.45, 10.73]0.0072.58 [0.87, 7.66]0.087
Other fibromatous neoplasms8.31 [2.70, 25.60]<0.0016.16 [2.09, 18.11]0.001
Rhabdomyosarcomas4.67 [1.67, 13.06]0.0033.80 [1.40, 10.33]0.009
Synovial sarcomas5.25 [2.13, 12.90]<0.0014.03 [1.66, 9.79]0.002
Unspecified soft tissue sarcomas4.77 [2.07, 11.01]<0.0013.81 [1.68, 8.66]0.001
StageRegionalReference
Distant2.32 [1.52, 3.56]<0.0012.30 [1.55, 3.41]<0.001
Tumor_size<150 mmReference
≥150 mm1.45 [0.95, 2.20]0.0831.34 [0.90, 1.99]0.152
RadiotherapyNoReference
Yes0.65 [0.45, 0.93]0.020.64 [0.46, 0.91]0.013

Multivariable Cox regression models for sarcoma-specific survival and overall survival in patients with STSE-RLNM in the IPTW-adjusted cohort.

In the multivariable Cox regression analysis adjusted for related characteristics for OS rate in the original unadjusted cohort (Table 3), age ≥20 (HR, 2.74; 95% CI, 1.66–4.53; p < 0.001), stage of distant metastasis (HR, 2.24; 95% CI, 1.60–3.16; p < 0.001), grade of III/IV (HR, 2.02; 95% CI, 1.03–3.98; p = 0.041), the histology of blood vessel tumors (HR, 8.43; 95% CI, 2.63–27.03; p < 0.001), fibroblastic and myofibroblastic tumors (HR, 3.95; 95% CI, 1.12–13.95; p = 0.033), nerve sheath tumors (HR, 5.43; 95% CI, 1.50–19.71; p = 0.010), rhabdomyosarcomas (HR, 4.51; 95% CI, 1.45–14.06; p = 0.009), and synovial sarcomas (HR, 4.08; 95% CI, 1.34–12.47; p = 0.014) were all reported as independent prognostic factors for OS of STSE-RLNM (Table 4). Independent prognostic factors reported in the multivariable Cox regression models in IPTW-adjusted cohort remained the same (Table 6). Likewise, prognostic factors for OS rate remained statistically significant for SSS rate in patients with STSE-RLNM (Tables 4, 6).

Further Investigation in the Subgroup of Radiotherapy Time

Within the subgroup of radiotherapy time, preoperative radiotherapy vs. postoperative radiotherapy showed no difference in the log-rank test in both SSS (p = 0.980) and OS (p = 0.890) (Figure 6).

Figure 6

Discussion

In recent decades, because of the extremely low incidence and a limited number of studies, the optimal treatment strategy of STSE-RLNM is controversial. Surgery is regarded as the mainstay for STS, which has improved the prognosis, as reported in many studies (, ). Radiation therapy combined with surgery has been reported to achieve better prognosis than surgery alone in intermediate and high-grade STS (, ). Nevertheless, little was known about the effect of radiation therapy of STSE-RLNM, and a few studies reported no benefit of radiation therapy in OS of STSE-RLNM (, ). The negative results of treatment with radiation therapy may be explained by the relatively small sample size and related studies bias. To address the limitations mentioned above, we conducted IPTW-adjusted analysis of a sample of 265 patients with STSE-RLNM treated with surgery. We found that the survival rate (both OS and CSS) improved significantly in the group receiving radiation therapy plus surgery. Several independent prognostic factors for STSE-RLNM were also identified through multivariable Cox regression analysis. There are some meaningful findings in the current study.

This study represents large cohorts of STSE-RLNM with 265 patients included based in the SEER database from 2004 to 2015. Because of the low incidence of STSE-RLNM, most published studies concerning STSE-RLNM are based on small sample size (, , ). Most tumors are high grade (grade III/IV), consistent with previous studies with a relatively large sample of STSE-RLNM (, ). Our study’s median overall survival months (18 months in surgery alone cohort and 36 months in RT + surgery cohort) is longer than previous reviews (12.7 months) probably because our patients all suffered from surgery. During different times, the ratio of radiation therapy has shown a relatively escalating trend, which may indicate doctors’ increasing tendency to use radiation therapy as an adjuvant method for surgery. Based on the IPTW calculated according to all the covariables that mislead treatment allocation, allocation bias was attenuated mainly (). The significant treatment effect of adjuvant radiotherapy in the original cohort was also noted in the adjusted groups based on IPTW. There have been some studies concerning the treatment of STSE in which adjuvant radiotherapy has a protective effect on the prognosis in high-risk patients (, –). In the field of STSE-RLNM, studies are rare. A SEER analysis containing 1,597 patients found that the survival of STSE-RLNM has nothing to do with adjuvant radiotherapy and chemotherapy (). However, the number of patients who got lymph nodes involved was only 28, and the results were not adjusted by propensity score match. Other studies that got negative radiotherapy results also have the defects of low sample size and did not adjust the correlative factors (, ). We further studied the effect of radiation sequence on the survival of the patients with STSE-RLNM. No difference was found in the current study through log-rank analyzing of the survival curve of radiation therapy prior to surgery and after surgery. Our results were consistent with several retrospective studies on STS (–). Despite its similar survival rates, the time of radiotherapy is related to different complications. As previous studies indicate, pre- and postoperative radiotherapy were associated with higher wound complications rates (, ) and higher long-term toxicity of radiotherapy (including joint stiffness, muscle fibrosis, etc.) rates (, ), respectively.

Although radiotherapy is recommended for treating STSE-RLNM in our research, it is necessary to consider some late effects of radiotherapy when specifically applied to the clinic. Iqbal et al. () recruited 34 patients with soft tissue sarcoma who received radiotherapy and found that 12 patients (35%) developed acute lymphedema, and 22 patients (65%) developed chronic lymphedema, suggesting that reserving a reasonable amount of lymphatic retention should be considered when performing radiotherapy on patients with STS. However, patients with STSE-RLNM also need to clean the lymph as much as possible to avoid further tumor progression. To grasp the balance between the two requires clinicians to conduct individualized analysis and use appropriate radiotherapy methods. Proton radiotherapy is the current cutting-edge method in the field of radiotherapy. Compared with traditional photon radiotherapy, protons can better concentrate the radiation energy on the tumor target area to be treated to protect normal organs and tissues. Therefore, the tumor can be adequately irradiated under relatively small doses of radiotherapy, and local tumor control can be improved. At the same time, radiation complications of normal organs and tissues can be greatly reduced. Thomas et al. () reported that the long-term toxicity, short-term toxicity, and the incidence of secondary tumors of proton radiotherapy are lower than photon therapy. Proton radiotherapy may light the path of treating STSE-RLNM patients.

Tumor immunotherapy is a treatment that enables the body to raise a tumor-specific immune response through active or passive ways and exert its function of inhibiting and killing tumors. At present, the clinical indications of immunotherapy are more and more extensive, and it has become the leading treatment for metastatic diseases (). Despite that the field cancer immunotherapy was founded by clinicians caring for sarcoma patients, the response of immunotherapy for sarcoma varies because of its various histological origin and immune microenvironment (, ). A phase II trial of pembrolizumab in patients with selected STSs and bone sarcomas was carried out by Tawbi et al. (). They found that the response rate is 18% in STS, 40% in undifferentiated pleomorphic sarcoma, 20% in liposarcoma, and 10% in synovial sarcoma. Adjuvant radiotherapy combined with immunotherapy may increase response rates for some kinds of sarcoma. Finkelstein et al. () recruited 17 patients with high-grade STS. Then, these patients were treated with radiotherapy combined with intratumoral injection of DSs. Nine of 17 (52.9%) patients developed immune responses, and 12 of 17 (70.6%) patients were progression-free after 1 year. There are also some ongoing immunotherapy studies in STSs. A phase I trial tests the role of combining ipilimumab, nivolumab, and radiation in resectable soft tissue sarcoma (NCT03463408). Another phase I/II study involving patients with high-risk soft-tissue sarcoma evaluated the efficacy of neoadjuvant durvalumab and tremelimumab plus radiation (NC T03116529). We look forward to more research on soft tissue sarcoma immunotherapy combined with radiotherapy, which may bring more benefits to STSE-RLNM patients.

In the current study, we also found that the older age, grade III/IV in pathology, and distant metastasis were significantly related to poor prognosis of STSE-RLNM. This study showed a higher survival rate either overall or sarcoma-specific in the young population than their older counterparts, which is according to previous studies (, ). This difference is likely due to the pre-existing comorbidities and reduced physical and psychological reserves of elders (). A high grade in pathology and distant metastasis were related to poor prognosis, and STSE-RLNM is no exception. The histology was introduced in the current studies, and similar to other studies on STS (whether lymph nodes involved or not) (–), liposarcoma was associated with better prognosis compared to other histology, and on the contrary, blood vessel tumors, fibroblastic and myofibroblastic tumors, nerve sheath tumors, rhabdomyosarcomas, and synovial sarcomas showed a relatively poor prognosis. Hiroyuki Tsuchie et al. () studied soft tissue sarcoma with distant metastasis and found malignant peripheral nerve sheath tumor (MPNST) had a poor prognosis than myxoid liposarcoma, which also confirmed our result. Compared with surgery alone, chemotherapy combined with surgery showed no significant benefit of survival. The results should be interpreted with caution, since we did not study chemotherapy’s single role in STSE-RLNM. As chemotherapy plays an essential tool in patients with unresectable tumors or distant metastases (), that part of chemotherapy needs further research.

The study also has some limitations in both design and data. First, detailed information about radiotherapy, including radiation dose, and the specific radiation site was not recorded in the SEER database. Therefore, we could not conclude the effects of radiotherapy stratified by dose and the particular radiation site. Second, some unobserved cofounders, including specific surgical types, whether lymph nodes resected or not, distant metastatic sites, and tumor necrosis rates, may affect prognosis. Nevertheless, through systematic multiple analysis of nine tumor-related and treatment-related covariables, radiotherapy’s significant treatment effect was stable across all the cohorts. Third, we mainly concentrated on the OS and SSS in this study. Further study could include other aspects, such as quality of life, treatment-related complications treatment costs, and comprehensively assessing patient status. Finally, this study is retrospective because of the properties of the SEER database. However, it is impossible to conduct randomized controlled trials (RCTs) of STSE-RLNM because of the disease’s epidemiological and clinical characteristics.

Conclusions

Our study first indicated that compared to surgery alone, surgery combined with radiotherapy could improve the SSS and OS of STSE-RLNM. In addition, adjuvant radiotherapy was an independent protective factor for the prognosis of STSE-RLNM. Besides, we found that older age, higher grade, distant metastasis, and histology including malignant blood vessel tumors, synovial sarcomas, rhabdomyosarcomas, fibroblastic, and myofibroblastic tumors were independent risk factors of STSE-RLNM. Our findings encourage the application of radiotherapy for patients with STSE-RLNM.

Funding

This work was supported by the Hunan Youth Science and Technology Innovation Talent Project (2020RC3058) and the Research project of Hunan health and Family Planning Commission (C20180785).

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.

Statements

Data availability statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: SEER database.

Ethics statement

The studies involving human participants were reviewed and approved by the Ethics Committee of Xiangya Hospital, Central South University. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.

Author contributions

XQ and QL designed the study. XQ, QL, HH, HZ, and XT analyzed the data. XQ, QL, and HH wrote the manuscript. XQ and QL reviewed the manuscript. All authors contributed to the article and approved the submitted version.

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.

Abbreviations

STSE-RLNM, soft tissue sarcomas on extremities with regional lymph nodes metastasis; SSS, sarcoma-specific survival; OS, overall survival; STS, soft tissue sarcomas; RLNM, regional lymph node metastasis; STSE, soft tissue sarcomas on extremities; SEER, Surveillance, Epidemiology, and End Results; NCDB, National Cancer Database; MICE, multiple imputation by chained equations; IPTW, inverse probability of treatment weighting; SMD, standardized mean difference; HR, hazard ratios; MPNST, malignant peripheral nerve sheath tumor; RT, radiotherapy.

References

  • 1

    von MehrenMRandallRLBenjaminRSBolesSBuiMMGanjooKNet al. Soft Tissue Sarcoma, Version 2.2018, NCCN Clinical Practice Guidelines in Oncology. J Natl Compr Canc Netw (2018) 16:536–63. doi: 10.6004/jnccn.2018.0025

  • 2

    TranQNKimACGottschalkARWaraWMPhillipsTLO'DonnellRJet al. Clinical Outcomes of Intraoperative Radiation Therapy for Extremity Sarcomas. Sarcoma (2006) 2006:91671. doi: 10.1155/SRCM/2006/91671

  • 3

    BehranwalaKAA'HernROmarAMThomasJM. Prognosis of Lymph Node Metastasis in Soft Tissue Sarcoma. Ann Surg Oncol (2004) 11:714–9. doi: 10.1245/ASO.2004.04.027

  • 4

    RiadSGriffinAMLibermanBBlacksteinMECattonCNKandelRAet al. Lymph Node Metastasis in Soft Tissue Sarcoma in an Extremity. Clin Orthop Relat Res (2004) 426:129–34. doi: 10.1097/01.blo.0000141660.05125.46

  • 5

    RosenthalJCardonaKSayyidSKPerriconeAJReimerNMonsonDet al. Nodal Metastases of Soft Tissue Sarcomas: Risk Factors, Imaging Findings, and Implications. Skeletal Radiol (2020) 49:221–9. doi: 10.1007/s00256-019-03299-6

  • 6

    LeachmanBKGallowayTJ. The Role for Radiation Therapy in the Management of Sarcoma. Surg Clin North Am (2016) 96:1127–39. doi: 10.1016/j.suc.2016.05.003

  • 7

    KoshyMRichSEMohiuddinMM. Improved Survival With Radiation Therapy in High-Grade Soft Tissue Sarcomas of the Extremities: A SEER Analysis. Int J Radiat Oncol Biol Phys (2010) 77:203–9. doi: 10.1016/j.ijrobp.2009.04.051

  • 8

    KachareSDBrinkleyJVohraNAZervosEEWongJHFitzgeraldTL. Radiotherapy Associated With Improved Survival for High-Grade Sarcoma of the Extremity. J Surg Oncol (2015) 112:338–43. doi: 10.1002/jso.23989

  • 9

    GingrichAABateniSBMonjazebAMDarrowMAThorpeSWKiraneARet al. Neoadjuvant Radiotherapy is Associated With R0 Resection and Improved Survival for Patients With Extremity Soft Tissue Sarcoma Undergoing Surgery: A National Cancer Database Analysis. Ann Surg Oncol (2017) 24:3252–63. doi: 10.1245/s10434-017-6019-8

  • 10

    PaltaMPaltaPBhavsarNAHortonJKBlitzblauRC. The Use of Adjuvant Radiotherapy in Elderly Patients With Early-Stage Breast Cancer: Changes in Practice Patterns After Publication of Cancer and Leukemia Group B 9343. Cancer-Am Cancer Soc (2015) 121:188–93. doi: 10.1002/cncr.28937

  • 11

    RameySJYechieliRZhaoWKodiyanJAsherDChineaFMet al. Limb-Sparing Surgery Plus Radiotherapy Results in Superior Survival: An Analysis Of Patients With High-Grade, Extremity Soft-Tissue Sarcoma From the NCDB and SEER. Cancer Med (2018) 7:4228–39. doi: 10.1002/cam4.1625

  • 12

    ParsonsHMHabermannEBTuttleTMAl-RefaieWB. Conditional Survival of Extremity Soft-Tissue Sarcoma: Results Beyond the Staging System. Cancer-Am Cancer Soc (2011) 117:1055–60. doi: 10.1002/cncr.25564

  • 13

    SchreiberDRineerJKatsoulakisESroufeRLLangeCSNwokediEet al. Impact of Postoperative Radiation on Survival for High-Grade Soft Tissue Sarcoma of the Extremities After Limb Sparing Radical Resection. Am J Clin Oncol (2012) 35:13–7. doi: 10.1097/COC.0b013e3181fe46d4

  • 14

    Al-RefaieWBHabermannEBJensenEHTuttleTMPistersPWVirnigBA. Surgery Alone is Adequate Treatment for Early Stage Soft Tissue Sarcoma of the Extremity. Br J Surg (2010) 97:707–13. doi: 10.1002/bjs.6946

  • 15

    NelenSDVogelaarFJGilissenFvan der LindenJCBosschaK. Lymph Node Metastasis After a Soft Tissue Sarcoma of the Leg: A Case Report and a Review of the Literature. Case Rep Surg (2013) 2013:930361. doi: 10.1155/2013/930361

  • 16

    CroninKARiesLAEdwardsBK. The Surveillance, Epidemiology, and End Results (SEER) Program of the National Cancer Institute. Cancer-Am Cancer Soc (2014) 120 Suppl 23:3755–7. doi: 10.1002/cncr.29049

  • 17

    CampRLDolled-FilhartMRimmDL. X-Tile: A New Bio-Informatics Tool for Biomarker Assessment and Outcome-Based Cut-Point Optimization. Clin Cancer Res (2004) 10:7252–9. doi: 10.1158/1078-0432.CCR-04-0713

  • 18

    CampionR. Multiple Imputation for Nonresponse in Surveysby Donald B. Rubin. J Marketing Res (1989) 26:485–6. doi: 10.2307/3172772

  • 19

    StuartEAAzurMFrangakisCLeafP. Multiple Imputation With Large Data Sets: A Case Study of the Children's Mental Health Initiative. Am J Epidemiol (2009) 169:1133–9. doi: 10.1093/aje/kwp026

  • 20

    ChengQKhoshdeliMFergusonBSJabbariKZangCParvinB. YY1 is a Cis-Regulator in the Organoid Models of High Mammographic Density. Bioinformatics (2020) 36:1663–7. doi: 10.1093/bioinformatics/btz812

  • 21

    ColeSRHernanMA. Adjusted Survival Curves With Inverse Probability Weights. Comput Methods Programs Biomed (2004) 75:45–9. doi: 10.1016/j.cmpb.2003.10.004

  • 22

    DafniU. Landmark Analysis at the 25-Year Landmark Point. Circ Cardiovasc Qual Outcomes (2011) 4:363–71. doi: 10.1161/CIRCOUTCOMES.110.957951

  • 23

    VezeridisMPMooreRKarakousisCP. Metastatic Patterns in Soft-Tissue Sarcomas. Arch Surg (1983) 118:915–8. doi: 10.1001/archsurg.1983.01390080023007

  • 24

    CorreaRGomez-MillanJLobatoMFernandezAOrdonezRCastroCet al. Radiotherapy in Soft-Tissue Sarcoma of the Extremities. Clin Transl Oncol (2018) 20:1127–35. doi: 10.1007/s12094-018-1848-x

  • 25

    DaigelerAKuhnenCMoritzRStrickerIGoertzOTilkornDet al. Lymph Node Metastases in Soft Tissue Sarcomas: A Single Center Analysis of 1,597 Patients. Langenbecks Arch Surg (2009) 394:321–9. doi: 10.1007/s00423-008-0371-x

  • 26

    TiwariAShahSSharmaAKMehtaSBatraUSharmaSKet al. Prognostic Factors in Indian Patients Operated for Soft Tissue Sarcomas-a Retrospective Cross-Sectional Analysis. Indian J Surg Oncol (2017) 8:128–35. doi: 10.1007/s13193-016-0569-2

  • 27

    FongYCoitDGWoodruffJMBrennanMF. Lymph Node Metastasis From Soft Tissue Sarcoma in Adults. Analysis of Data From a Prospective Database of 1772 Sarcoma Patients. Ann Surg (1993) 217:72–7. doi: 10.1097/00000658-199301000-00012

  • 28

    YangJCChangAEBakerARSindelarWFDanforthDNTopalianSLet al. Randomized Prospective Study of the Benefit of Adjuvant Radiation Therapy in the Treatment of Soft Tissue Sarcomas of the Extremity. J Clin Oncol (1998) 16:197–203. doi: 10.1200/JCO.1998.16.1.197

  • 29

    KneislJSFergusonCRobinsonMCrimaldiAAhrensWSymanowskiJet al. The Effect of Radiation Therapy in the Treatment of Adult Soft Tissue Sarcomas of the Extremities: A Long-Term Community-Based Cancer Center Experience. Cancer Med (2017) 6:516–25. doi: 10.1002/cam4.972

  • 30

    HouCHLazaridesALSpeicherPJNussbaumDPBlazerDRKirschDGet al. The Use of Radiation Therapy in Localized High-Grade Soft Tissue Sarcoma and Potential Impact on Survival. Ann Surg Oncol (2015) 22:2831–8. doi: 10.1245/s10434-015-4639-4

  • 31

    VossRKChiangYJTorresKEGuadagnoloBAMannGNFeigBWet al. Adherence to National Comprehensive Cancer Network Guidelines is Associated With Improved Survival for Patients With Stage 2A and Stages 2B and 3 Extremity and Superficial Trunk Soft Tissue Sarcoma. Ann Surg Oncol (2017) 24:3271–8. doi: 10.1245/s10434-017-6015-z

  • 32

    BagariaSPAshmanJBDaughertyLCGrayRJWasifN. Compliance With National Comprehensive Cancer Network Guidelines in the Use of Radiation Therapy for Extremity and Superficial Trunk Soft Tissue Sarcoma in the United States. J Surg Oncol (2014) 109:633–8. doi: 10.1002/jso.23569

  • 33

    Al-AbsiEFarrokhyarFSharmaRWhelanKCorbettTPatelMet al. A Systematic Review and Meta-Analysis of Oncologic Outcomes of Pre- Versus Postoperative Radiation in Localized Resectable Soft-Tissue Sarcoma. Ann Surg Oncol (2010) 17:1367–74. doi: 10.1245/s10434-009-0885-7

  • 34

    O'SullivanBDavisAMTurcotteRBellRCattonCChabotPet al. Preoperative Versus Postoperative Radiotherapy in Soft-Tissue Sarcoma of the Limbs: A Randomised Trial. Lancet (2002) 359:2235–41. doi: 10.1016/S0140-6736(02)09292-9

  • 35

    SampathSSchultheissTEHitchcockYJRandallRLShrieveDCWongJY. Preoperative Versus Postoperative Radiotherapy in Soft-Tissue Sarcoma: Multi-Institutional Analysis of 821 Patients. Int J Radiat Oncol Biol Phys (2011) 81:498–505. doi: 10.1016/j.ijrobp.2010.06.034

  • 36

    ChengEYDusenberyKEWintersMRThompsonRC. Soft Tissue Sarcomas: Preoperative Versus Postoperative Radiotherapy. J Surg Oncol (1996) 61:90–9. doi: 10.1002/(SICI)1096-9098(199602)61:2<90::AID-JSO2>3.0.CO;2-M

  • 37

    O'SullivanBGriffinAMDickieCISharpeMBChungPWCattonCNet al. Phase 2 Study of Preoperative Image-Guided Intensity-Modulated Radiation Therapy To Reduce Wound and Combined Modality Morbidities in Lower Extremity Soft Tissue Sarcoma. Cancer-Am Cancer Soc (2013) 119:1878–84. doi: 10.1002/cncr.27951

  • 38

    WangDAbramsRA. Radiotherapy for Soft Tissue Sarcoma: 50 Years of Change and Improvement. Am Soc Clin Oncol Educ Book (2014) 119:244–51. doi: 10.14694/EdBook_AM.2014.34.244

  • 39

    SarifIElsayadKRolfDKittelCGoshegerGWardelmannEet al. The Lymph-Sparing Quotient: A Retrospective Risk Analysis on Extremity Radiation for Soft Tissue Sarcoma Treatment. Cancers (Basel) (2021) 13:2113. doi: 10.3390/cancers13092113

  • 40

    DeLaneyTFHaasRL. Innovative Radiotherapy of Sarcoma: Proton Beam Radiation. Eur J Cancer (2016) 62:112–23. doi: 10.1016/j.ejca.2016.04.015

  • 41

    NixonNABlaisNErnstSKollmannsbergerCBebbGButlerMet al. Current Landscape of Immunotherapy in the Treatment of Solid Tumours, With Future Opportunities and Challenges. Curr Oncol (2018) 25:e373–84. doi: 10.3747/co.25.3840

  • 42

    KlemenNDKellyCMBartlettEK. The Emerging Role of Immunotherapy for the Treatment of Sarcoma. J Surg Oncol (2021) 123:730–8. doi: 10.1002/jso.26306

  • 43

    TawbiHABurgessMBolejackVVan TineBASchuetzeSMHuJet al. Pembrolizumab in Advanced Soft-Tissue Sarcoma and Bone Sarcoma (SARC028): A Multicentre, Two-Cohort, Single-Arm, Open-Label, Phase 2 Trial. Lancet Oncol (2017) 18:1493–501. doi: 10.1016/S1470-2045(17)30624-1

  • 44

    FinkelsteinSEIclozanCBuiMMCotterMJRamakrishnanRAhmedJet al. Combination of External Beam Radiotherapy (EBRT) With Intratumoral Injection of Dendritic Cells as Neo-Adjuvant Treatment of High-Risk Soft Tissue Sarcoma Patients. Int J Radiat Oncol Biol Phys (2012) 82:924–32. doi: 10.1016/j.ijrobp.2010.12.068

  • 45

    ImanishiJChanLBroadheadMLPangGNganSYSlavinJet al. Clinical Features of High-Grade Extremity and Trunk Sarcomas in Patients Aged 80 Years and Older: Why are Outcomes Inferior? Front Surg (2019) 6:29. doi: 10.3389/fsurg.2019.00029

  • 46

    Hoven-GondrieMLBastiaannetEHoVKvan LeeuwenBLLiefersGJHoekstraHJet al. Worse Survival in Elderly Patients With Extremity Soft-Tissue Sarcoma. Ann Surg Oncol (2016) 23:2577–85. doi: 10.1245/s10434-016-5158-7

  • 47

    ChodylaMDemirciogluASchaarschmidtBMBertramSBruckmannNMHaferkampJet al. Evaluation of (18)F-FDG PET and DWI Datasets for Predicting Therapy Response of Soft-Tissue Sarcomas Under Neoadjuvant Isolated Limb Perfusion. J Nucl Med (2021) 62:348–53. doi: 10.2967/jnumed.120.248260

  • 48

    PistersPWLeungDHWoodruffJShiWBrennanMF. Analysis of Prognostic Factors in 1,041 Patients With Localized Soft Tissue Sarcomas of the Extremities. J Clin Oncol (1996) 14:1679–89. doi: 10.1200/JCO.1996.14.5.1679

  • 49

    CallegaroDMiceliRBonvalotSFergusonPStraussDCLevyAet al. Development and External Validation of Two Nomograms to Predict Overall Survival and Occurrence of Distant Metastases in Adults After Surgical Resection of Localised Soft-Tissue Sarcomas of the Extremities: A Retrospective Analysis. Lancet Oncol (2016) 17:671–80. doi: 10.1016/S1470-2045(16)00010-3

  • 50

    GretoDSaievaCLoiMTerzianiFVisaniLGarlattiPet al. Influence of Age and Subtype in Outcome of Operable Liposarcoma. Radiol Med (2019) 124:290–300. doi: 10.1007/s11547-018-0958-4

  • 51

    GutierrezJCPerezEAFranceschiDMoffatFJLivingstoneASKoniarisLG. Outcomes for Soft-Tissue Sarcoma in 8249 Cases From a Large State Cancer Registry. J Surg Res (2007) 141:105–14. doi: 10.1016/j.jss.2007.02.026

  • 52

    SmithHGMemosNThomasJMSmithMJStraussDCHayesAJ. Patterns of Disease Relapse in Primary Extremity Soft-Tissue Sarcoma. Br J Surg (2016) 103:1487–96. doi: 10.1002/bjs.10227

  • 53

    ZagarsGKBalloMTPistersPWPollockREPatelSRBenjaminRSet al. Prognostic Factors for Patients With Localized Soft-Tissue Sarcoma Treated With Conservation Surgery and Radiation Therapy: An Analysis of 1225 Patients. Cancer-Am Cancer Soc (2003) 97:2530–43. doi: 10.1002/cncr.11365

  • 54

    ChengSZhangZHuCXingNXiaYPangB. Pristimerin Suppressed Breast Cancer Progression via miR-542-5p/DUB3 Axis. Onco Targets Ther (2020) 13:6651–60. doi: 10.2147/OTT.S257329

  • 55

    JiangLJiangSLinYSituDYangHLiYet al. Significance of Local Treatment in Patients With Metastatic Soft Tissue Sarcoma. Am J Cancer Res (2015) 5:2075–82. doi: 10.2147/OTT.S257329

Summary

Keywords

soft tissue neoplasms, extremities, lymph node, radiotherapy, prognosis

Citation

Qiu X, He H, Zeng H, Tong X and Liu Q (2021) The Role of Radiotherapy in Soft Tissue Sarcoma on Extremities With Lymph Nodes Metastasis: An IPTW Propensity Score Analysis of the SEER Database. Front. Oncol. 11:751180. doi: 10.3389/fonc.2021.751180

Received

04 August 2021

Accepted

30 September 2021

Published

21 October 2021

Volume

11 - 2021

Edited by

Alessio G. Morganti, University of Bologna, Italy

Reviewed by

Khaled Elsayad, University of Münster, Germany; Weiwei Zong, Henry Ford Health System, United States

Updates

Copyright

*Correspondence: Qing Liu,

This article was submitted to Radiation Oncology, a section of the journal Frontiers in Oncology

Disclaimer

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.

Outline

Figures

Cite article

Copy to clipboard


Export citation file


Share article

Article metrics