Prediction values of different lymph nodes staging systems for survival of children with Wilms tumor
Highlight box
Key findings
• The predictive value of log odds of positive lymph nodes (LODDS) for the 5-year mortality of children with Wilms tumor was similar with lymph nodes (LNs), and lymph node density.
What is known and what is new?
• LN involvement is previously reported to be an important prognostic factor of Wilms tumor, and LODDS has been proposed and applied to prognostic stratification of colon cancer, thyroid cancer, renal cell carcinoma.
• LODDS ≥−0.34 was linked with elevated risk of 5-year mortality, and had good predictive ability for 5-year mortality of children with Wilms tumor.
What is the implication, and what should change now?
• The findings might provide a new tool for helping the clinicians identify those with poor prognosis. Future studies with external data were required to verify the predictive value of LODDS for the prognosis of children with Wilms tumor.
Introduction
Wilms tumor is one of the most common pediatric kidney cancers that represents 6% to 7% of pediatric cancer cases and affects about 0.2 cases per million individuals (1,2). Currently, multimodal strategies have markedly improved the prognoses of patients with Wilms tumor and the 5-year overall survival (OS) rate can achieve 90% in developed countries through the optimized utilization of current treatment strategies, including chemotherapy, surgery, and radiotherapy (3). The overall prognosis for Wilms tumor is good; however, individuals with diffuse anaplasia (unfavorable histology) or favorable histology experiencing disease relapse may have a less favorable outcome (4) as well as children with advanced tumors (5) remain to have poor outcomes. In some resource-challenged settings, the OS rate is only 25–53%, which continues to be sub-optimal (6).
Lymph node (LN) involvement is previously reported to be an important prognostic factor of Wilms tumor (7). A previous study has shown that the OS and event-free survival of children with stage III Wilms tumor with positive LNs are poor (8). Positive LNs or positive lymph node density (LND) have been proposed for risk stratification of Wilms tumor and they are found to have certain prognostic value (7,9). These are not applicable for Wilms tumor patients without positive LN metastases. On this basis, log odds of positive lymph nodes (LODDS) has been proposed and applied to prognostic stratification of various malignant tumors, which have been identified to have better prognostic value than American Joint Committee on Cancer (AJCC) N stage and LND in colon cancer, thyroid cancer, renal cell carcinoma and other cancers (10-12). At present, the prognostic value of LODDS on Wilms tumor is still elusive. Comparisons of prognostic values of various LN staging systems including LND, LODDS and LNs for children with Wilms tumor is necessary for the management of this disease.
In the present study, the associations of LNs, LND, and LODDS with the 5-year mortality were evaluated and the predictive values of LNs, LND, and LODDS for the 5-year mortality of children with Wilms tumor were assessed using data from the Surveillance, Epidemiology, and End Results (SEER) database. Subgroup analysis was stratified by SEER stage, laterality, and number of LN dissection. We present this article in accordance with the STROBE reporting checklist (available at https://tcr.amegroups.com/article/view/10.21037/tcr-24-959/rc).
Methods
Study design and population
This study was conducted in accordance with the Declaration of Helsinki (as revised in 2013). In this cohort study, the data of 2,565 participants with Wilms tumor were identified in the SEER database (https://seer.cancer.gov/seerstat/). The SEER database, encompassing data from 18 cancer registries across the United States, represents the largest cancer database in the country, covering a substantial 26% of the population (13). The SEER database routinely collects comprehensive data on patient-specific and tumor-specific characteristics, encompassing patients’ demographics, primary tumor site, stage at diagnosis, tumor morphology, treatment course, follow-up for vital status, and death cause (14). In our study, patient diagnosed before 2004 or after 2015, aged ≥20 years, patients without data on tumor size, positive LNs, or LNs, and those lost follow-up were excluded. Finally, the data of 874 patients were analyzed.
Potential covariates
Age (year), sex (female or male), race (Black, White, other or unknown), laterality (bilateral, left or right), tumor size (mm), SEER stage (distant, localized or regional), examined LNs, positive LNs, chemotherapy (yes or no/unknown), surgery [nephron sparing surgery (NSS), radical nephrectomy (RN), not otherwise specified (NOS) or none] and radiation (yes or no/unknown) were potential covariates analyzed in this study.
Main and outcome variables
LNs, LND and LODDS were main variables in the present study. Patients had positive LNs were grouped in 1, and those without positive LNs were categorized into 0 group. LND = positive LN/examined LN. LODDS = log [(positive LN +0.5)/(examined LN − positive LN + 0.5)]. The x-tile was applied for binary classification of LND (<0.03 or ≥0.03) and LODDS (<−0.34 or ≥−0.34), and three-way classification of LND (0, >0 to <0.93 or ≥0.93), and LODDS (<−1.61 or −1.61 to <−0.34 or ≥−0.34) based on the minimum P value method.
Whether the Wilms tumor patients survived or died within 5 years was the outcome in our study. The follow-up time was 5 years until 2021.
Statistical analysis
The continuous variables of normal distribution were presented by mean ± standard deviation (SD), and the t-test of two samples was adopted. The data of non-normal distribution were represented as M (Q1, Q3), and the rank sum test of two independent samples was applied. The categorical data were shown as n (%) and comparisons between groups were subjected to Chi-squared test or Fisher’s exact probability method. The univariate COX proportional risk model was used to explore the possible covariates. The univariate and multivariable COX proportional risk model were employed for explore the associations of LNs, LND, and LODDS with the 5-year mortality of Wilms tumor patients. In Model 1, no covariate was adjusted, and in Model 2, age, sex, laterality, SEER stage and radiation were adjusted. Subgroup analysis was stratified by SEER stage, laterality, and number of LN dissection. The predictive values of LNs, LND, and LODDS for the 5-year mortality of children with Wilms tumor were evaluated via concordance and 95% confidence interval (CI). Data analysis was subjected to SAS 9.4 (SAS Institute Inc., Cary, USA). P<0.05 was set as statistical difference.
Results
The characteristics of alive or dead Wilms tumor patients within 5 years
In total, 2,565 patients with Wilms tumor were found in the SEER database. Patient diagnosed before 2004 or after 2015 (n=975), aged ≥20 years (n=46), patients without data on tumor size (n=102), positive LNs (n=270), LNs (n=42), or SEER stage (n=8), and those lost follow-up (n=248) were excluded. Finally, 874 patients were included. The screen process of participants is presented in Figure 1.
According to Table 1, there were 804 patients survived and 70 patients died. the mean age of alive patients was lower than dead patients (3.34 vs. 4.07 years). The percentage of participants with positive LNs in the alive group was lower than the dead group (17.41% vs. 42.86%). The percentages of patients in the alive group in different LND and LODDS groups were different from the dead group. The percentages of patients received radiation in the alive group was lower than the dead group (47.18% vs. 64.29%).
Table 1
Variables | Total (n=874) | Alive (n=804) | Dead (n=70) | Statistics | P |
---|---|---|---|---|---|
Age, years, mean ± SD | 3.40±2.82 | 3.34±2.78 | 4.07±3.16 | t=−2.08 | 0.04 |
Sex, n (%) | χ2=0.562 | 0.45 | |||
Female | 462 (52.86) | 428 (53.23) | 34 (48.57) | ||
Male | 412 (47.14) | 376 (46.77) | 36 (51.43) | ||
Race, n (%) | – | 0.38 | |||
Black | 152 (17.39) | 136 (16.92) | 16 (22.86) | ||
Other | 49 (5.61) | 44 (5.47) | 5 (7.14) | ||
Unknown | 10 (1.14) | 9 (1.12) | 1 (1.43) | ||
White | 663 (75.86) | 615 (76.49) | 48 (68.57) | ||
Laterality, n (%) | χ2=3.749 | 0.15 | |||
Bilateral | 39 (4.46) | 33 (4.10) | 6 (8.57) | ||
Left | 439 (50.23) | 401 (49.88) | 38 (54.29) | ||
Right | 396 (45.31) | 370 (46.02) | 26 (37.14) | ||
Tumor size, mm, M (Q1, Q3) | 110.00 (80.00, 132.00) | 110.00 (80.00, 130.00) | 116.00 (75.00, 139.00) | Z=1.015 | 0.31 |
SEER stage, n (%) | χ2=32.043 | <0.001 | |||
Distant | 206 (23.57) | 172 (21.39) | 34 (48.57) | ||
Localized | 376 (43.02) | 364 (45.27) | 12 (17.14) | ||
Regional | 292 (33.41) | 268 (33.33) | 24 (34.29) | ||
Examined lymph node, M (Q1, Q3) | 4.00 (2.00, 8.00) | 4.00 (2.00, 8.00) | 3.50 (2.00, 7.00) | Z=−1.403 | 0.16 |
Positive lymph node, M (Q1, Q3) | 0.00 (0.00, 0.00) | 0.00 (0.00, 0.00) | 0.00 (0.00, 2.00) | Z=5.232 | <0.001 |
LNs, n (%) | χ2=26.609 | <0.001 | |||
0 | 704 (80.55) | 664 (82.59) | 40 (57.14) | ||
1 | 170 (19.45) | 140 (17.41) | 30 (42.86) | ||
Binary classification | |||||
LND, n (%) | χ2=26.609 | <0.001 | |||
<0.03 | 704 (80.55) | 664 (82.59) | 40 (57.14) | ||
≥0.03 | 170 (19.45) | 140 (17.41) | 30 (42.86) | ||
LODDS, n (%) | χ2=38.727 | <0.001 | |||
<−0.34 | 780 (89.24) | 733 (91.17) | 47 (67.14) | ||
≥−0.34 | 94 (10.76) | 71 (8.83) | 23 (32.86) | ||
Three-way classification | |||||
LND, n (%) | χ2=29.001 | <0.001 | |||
0 | 704 (80.55) | 664 (82.59) | 40 (57.14) | ||
>0 to <0.93 | 134 (15.33) | 116 (14.43) | 18 (25.71) | ||
≥0.93 | 36 (4.12) | 24 (2.99) | 12 (17.14) | ||
LODDS, n (%) | χ2=42.092 | <0.001 | |||
<−1.61 | 493 (56.41) | 470 (58.46) | 23 (32.86) | ||
−1.61 to <−0.34 | 287 (32.84) | 263 (32.71) | 24 (34.29) | ||
≥−0.34 | 94 (10.76) | 71 (8.83) | 23 (32.86) | ||
Chemotherapy, n (%) | χ2=0.018 | 0.89 | |||
No/unknown | 66 (7.55) | 61 (7.59) | 5 (7.14) | ||
Yes | 808 (92.45) | 743 (92.41) | 65 (92.86) | ||
Surgery, n (%) | – | 0.42 | |||
NOS | 54 (6.18) | 47 (5.85) | 7 (10.00) | ||
NSS | 28 (3.20) | 26 (3.23) | 2 (2.86) | ||
None | 1 (0.11) | 1 (0.12) | 0 (0.00) | ||
RN | 791 (90.50) | 730 (90.80) | 61 (87.14) | ||
Radiation, n (%) | χ2=7.540 | 0.006 | |||
None/unknown | 446 (51.44) | 421 (52.82) | 25 (35.71) | ||
Yes | 421 (48.56) | 376 (47.18) | 45 (64.29) | ||
Time, month, M (Q1, Q3) | 60.0 (60.0, 60.0) | 60.0 (60.0, 60.0) | 21.5 (13.0, 32.0) | Z=−29.512 | <0.001 |
LNs: 0, negative; 1, positive. Z, Mann-Whitney U test; χ2, Chi-squared test; –, Fisher exact. SD, standard deviation; M, median; Q1, 1st quartile; Q3, 3rd quartile; SEER, Surveillance, Epidemiology, and End Results; LNs, lymph nodes; LND, lymph node density; LODDS, log odds of positive lymph nodes; NOS, not otherwise specified; NSS, nephron sparing surgery; RN, radical nephrectomy.
Covariates related to the 5-year mortality of patients with Wilms tumor
The data from univariate COX proportional risk model depicted that age [hazard ratio (HR) =1.07, 95% CI: 1.01–1.15], right (HR =0.40, 95% CI: 0.16–0.97), distant SEER stage (HR =2.11, 95% CI: 1.25–3.56), localized SEER stage (HR =0.38, 95% CI: 0.19–0.76), and radiation (HR =1.96, 95% CI: 1.20–3.19) were covariates related to the 5-year mortality of patients with Wilms tumor (Table 2).
Table 2
Variables | β | S.E | χ2 | HR (95% CI) | P |
---|---|---|---|---|---|
Age | 0.071 | 0.035 | 4.211 | 1.07 (1.01–1.15) | 0.040 |
Sex | |||||
Female | Ref | ||||
Male | 0.178 | 0.239 | 0.556 | 1.20 (0.75–1.91) | 0.46 |
Race | |||||
Black | Ref | ||||
Other | −0.023 | 0.512 | 0.002 | 0.98 (0.36–2.67) | 0.96 |
Unknown | −0.001 | 1.031 | 0.000 | 1.00 (0.13–7.53) | 0.99 |
White | −0.384 | 0.289 | 1.770 | 0.68 (0.39–1.20) | 0.18 |
Laterality | |||||
Bilateral | Ref | ||||
Left | −0.630 | 0.439 | 2.059 | 0.53 (0.23–1.26) | 0.15 |
Right | −0.917 | 0.453 | 4.104 | 0.40 (0.16–0.97) | 0.04 |
Tumor size | −0.000 | 0.002 | 0.001 | 1.00 (1.00–1.00) | 0.98 |
SEER stage | |||||
Distant | 0.748 | 0.267 | 7.863 | 2.11 (1.25–3.56) | 0.005 |
Localized | −0.970 | 0.354 | 7.528 | 0.38 (0.19–0.76) | 0.006 |
Regional | Ref | ||||
Examined lymph node | −0.041 | 0.025 | 2.633 | 0.96 (0.91–1.01) | 0.11 |
Positive lymph node | 0.192 | 0.045 | 17.926 | 1.21 (1.11–1.32) | <0.001 |
Chemotherapy | |||||
No/unknown | Ref | ||||
Yes | 0.057 | 0.464 | 0.015 | 1.06 (0.43–2.63) | 0.90 |
Surgery | |||||
NOS | 0.561 | 0.399 | 1.977 | 1.75 (0.80–3.83) | 0.16 |
NSS | −0.080 | 0.719 | 0.012 | 0.92 (0.23–3.78) | 0.91 |
None | −9.980 | 519.25 | 0.000 | – | 0.99 |
RN | Ref | ||||
Radiation | |||||
None/unknown | Ref | ||||
Yes | 0.672 | 0.249 | 7.252 | 1.96 (1.20–3.19) | 0.007 |
–, insufficient frequency to fit. S.E, standard error; HR, hazard ratio; CI, confidence interval; Ref, reference; SEER, Surveillance, Epidemiology, and End Results; NOS, not otherwise specified; NSS, nephron sparing surgery; RN, radical nephrectomy.
Associations of LNs, LND, and LODDS with the 5-year mortality of Wilms tumor patients
According to the results in Table 3, patients with positive LNs (HR =3.33, 95% CI: 2.08–5.35), LND ≥0.03 (HR =3.33, 95% CI: 2.08–5.35) and LODDS ≥−0.34 (HR =4.49, 95% CI: 2.73–7.40) might be related to increased 5-year mortality risk. After adjusting for age, laterality, SEER stage, and radiation, increased 5-year mortality risk in children with Wilms tumor was observed in positive LNs (HR =2.64, 95% CI: 1.48–4.69), LND ≥0.03 (HR =2.64, 95% CI: 1.48–4.69) and LODDS ≥−0.34 (HR =3.20, 95% CI: 1.84–5.57). We further categorized LND and LODDS into three groups. The data depicted that 0< LND <0.93 (HR =1.92, 95% CI: 1.01–3.67) as well as LND ≥0.93 (HR =4.87, 95% CI: 2.42–9.81) were correlated with increased risk of 5-year mortality while LODDS ≥−0.34 (HR =4.09, 95% CI: 2.18–7.65) was related to heighted 5-year mortality risk (Table 3). Patients with positive LNs (Figure 2), LND ≥0.03 (Figure 3) and LODDS ≥−0.34 (Figure 4) were associated with poor survival probability.
Table 3
Variables | Model 1 | Model 2 | |||
---|---|---|---|---|---|
HR (95% CI) | P | HR (95% CI) | P | ||
LNs | |||||
0 | Ref | Ref | |||
1 | 3.33 (2.08–5.35) | <0.001 | 2.64 (1.48–4.69) | <0.001 | |
Binary classification | |||||
LND | |||||
<0.03 | Ref | Ref | |||
≥0.03 | 3.33 (2.08–5.35) | <0.001 | 2.64 (1.48–4.69) | <0.001 | |
LODDS | |||||
<−0.34 | Ref | Ref | |||
≥−0.34 | 4.49 (2.73–7.40) | <0.001 | 3.20 (1.84–5.57) | <0.001 | |
Three-way classification | |||||
LND | |||||
0 | Ref | Ref | |||
>0 to <0.93 | 2.51 (1.44–4.37) | 0.001 | 1.92 (1.01–3.67) | 0.049 | |
≥0.93 | 6.63 (3.48–12.65) | <0.001 | 4.87 (2.42–9.81) | <0.001 | |
LODDS | |||||
<−1.61 | Ref | Ref | |||
−1.61 to <−0.34 | 1.82 (1.03–3.23) | 0.040 | 1.71 (0.97–3.04) | 0.07 | |
≥−0.34 | 5.84 (3.28–10.41) | <0.001 | 4.09 (2.18–7.65) | <0.001 |
Model 1: unadjusted univariate COX proportional risk model; Model 2: multivariable COX proportional risk model adjusted for age, sex, laterality, SEER stage, and radiation. LNs, lymph nodes; LND, lymph node density; LODDS, log odds of positive lymph nodes; HR, hazard ratio; CI, confidence interval; Ref, reference; SEER, Surveillance, Epidemiology, and End Results.
The predictive values of LNs, LND, and LODDS for the 5-year mortality of Wilms tumor patients
The concordance of LNs for predicting the 5-year mortality of Wilms tumor children was 0.623 (95% CI: 0.566–0.681). The concordances of LND, and LODDS in two-category data for predicting the 5-year mortality of Wilms tumor patients were 0.623 (95% CI: 0.566–0.681) and 0.616 (95% CI: 0.562–0.669), respectively. When divided LND, and LODDS into three groups, the concordances for predicting the 5-year mortality of Wilms tumor patients were 0.631 (95% CI: 0.572–0.690) and 0.660 (95% CI: 0.596–0.724), respectively. No significant difference was found in the concordances of LNs, LND, and LODDS for the 5-year mortality of Wilms tumor patients (Table 4).
Table 4
Predictors | Concordance (95% CI) |
---|---|
LNs | 0.623 (0.566–0.681) |
Binary classification | |
LND | 0.623 (0.566–0.681) |
LODDS | 0.616 (0.562–0.669) |
Three-way classification | |
LND | 0.631 (0.572–0.690) |
LODDS | 0.660 (0.596–0.724) |
LNs, lymph nodes; LND, lymph node density; LODDS, log odds of positive lymph nodes; CI, confidence interval.
Subgroup analysis of the predictive values of LNs, LND, and LODDS for the 5-year mortality of Wilms tumor patients
In those with regional SEER stage, the predictive values of LNs, LND, and LODDS for the 5-year mortality were 0.656 (95% CI: 0.559–0.753), 0.656 (95% CI: 0.559–0.753) and 0.626 (95% CI: 0.528–0.723). The predictive values of LNs, LND, and LODDS for the 5-year mortality of Wilms tumor patients with distant SEER stage. The predictive values of LNs, LND, and LODDS for the 5-year mortality of Wilms tumor children with tumor in left kidney were 0.627 (95% CI: 0.548–0.706), 0.627 (95% CI: 0.548–0.706) and 0.595 (95% CI: 0.523–0.667). The predictive value of LODDS for the 5-year mortality of Wilms tumor patients with tumor in right kidney was 0.657 (95% CI: 0.565–0.749), which was higher than LNs [area under the curve (AUC) =0.631 (95% CI: 0.538–0.724)] and LND [AUC =0.631 (95% CI: 0.538–0.724)]. The predictive values of LNs, LND, and LODDS for the 5-year mortality of Wilms tumor patients with examined LNs ≥10 were 0.637 (95% CI: 0.502–0.773), 0.637 (95% CI: 0.502–0.773) and 0.597 (95% CI: 0.486–0.707). The predictive values of LNs, LND, and LODDS for the 5-year mortality of Wilms tumor patients with examined LNs <10 were 0.621 (95% CI: 0.558–0.684), 0.621 (95% CI: 0.558–0.684) and 0.619 (95% CI: 0.558–0.680) (Table 5).
Table 5
Models | SEER stage [concordance (95% CI)] | Laterality [concordance (95% CI)] | Examined [concordance (95% CI)] | ||||||
---|---|---|---|---|---|---|---|---|---|
Regional | Distant | Bilateral | Left | Right | ≥10 | <10 | |||
Predictors | |||||||||
LNs | 0.656 (0.559–0.753) | 0.549 (0.465–0.633) | 0.556 (0.420–0.692) | 0.627 (0.548–0.706) | 0.631 (0.538–0.724) | 0.637 (0.502–0.773) | 0.621 (0.558–0.684) | ||
Binary classification | |||||||||
LND | 0.656 (0.559–0.753) | 0.549 (0.465–0.633) | 0.556 (0.420–0.692) | 0.627 (0.548–0.706) | 0.631 (0.538–0.724) | 0.637 (0.502–0.773) | 0.621 (0.558–0.684) | ||
LODDS | 0.626 (0.528–0.723) | 0.597 (0.517–0.677) | 0.556 (0.420–0.692) | 0.595 (0.523–0.667) | 0.657 (0.565–0.749)a,b | 0.597 (0.486–0.707) | 0.619 (0.558–0.680) | ||
Three-way classification | |||||||||
LND | 0.668 (0.566–0.770) | 0.564 (0.471–0.657) | 0.582 (0.451–0.713) | 0.632 (0.552–0.713) | 0.639 (0.542–0.735) | 0.646 (0.506–0.785) | 0.627 (0.562–0.692) | ||
LODDS | 0.645 (0.535–0.755) | 0.669 (0.585–0.753) | 0.627 (0.406–0.847) | 0.645 (0.561–0.729) | 0.681 (0.571–0.792) | 0.673 (0.537–0.809) | 0.657 (0.586–0.729) |
a, statistically different compared with LNS; b, statistically different compared with LND. LNs, lymph nodes; LND, lymph node density; LODDS, log odds of positive lymph nodes; SEER, Surveillance, Epidemiology, and End Results; CI, confidence interval.
Discussion
Positive LNs, LND ≥0.03 and LODDS ≥−0.34 were related to elevated 5-year mortality risk of Wilms tumor children. The predictive value of LODDS for the 5-year mortality of children with Wilms tumor was similar with LNs and LND. Subgroup analysis revealed that the predictive value of LODDS for the 5-year mortality of Wilms tumor children with tumor in right kidney was higher than LNs and LND. The findings might provide a tool for identifying those with high risk of mortality within 5 years especially for patients without positive LNs, and offer chance for timely treatments for these patients to improve the outcomes.
LODDS is a logical transformation formula stratifying differences in survival between patients at a single stage of the disease based on pathological LN data, even if the number of positive LNs is 0 (15). LODDS is considered to be a prognostic metric for lymph-node metastasis in different cancers like medullary thyroid carcinoma (16), non-small cell lung cancer (17), and urothelial bladder cancer (18). The classification of LN status via LODDS has been found as a reliable prognostic index with a good value to identify those with high risk of prognosis, irrespective of LN status and count. In our study, higher LODDS was correlated with heightened 5-year mortality risk in patients with Wilms tumor. LODDS showed good predictive value for 5-year mortality in patients with Wilms tumor. The findings suggested that LODDS can assist clinicians in identifying whether patients with clinically aggressive tumors are at a higher risk of 5-year mortality, regardless of nodal positivity. This information has the potential to guide treatment decisions for these patients.
The prognosis evaluation of patients with Wilms tumor traditionally relies on the involvement of nodal disease, including the total number of positive LNs, by clinicians (19). Adequate LNs sampling is regarded to be conducive for the assessment of prognosis (20,21). Honeyman et al. revealed that LNs involvement was related to the possibility of relapse and OS of patients with Wilms tumor (22). A study of Stewart et al. depicted that the sampling LNs was independently correlated with the recurrence rate and survival for Wilms tumor patients (23). Additionally, in a review of the National Cancer Database (NCDB), observed LND were identified to be linked to the OS of patients with LN-positive favorable histology Wilms tumor (24). Another study also indicated that LND was identified to an independent risk factor for the prognosis of children with Wilms tumor (25). In the present study, patients with positive LNs or higher LND were related to the increase of 5-year mortality risk in children with Wilms tumor. The predictive values of LNs and LND were good. The predictive value of LODDS for the 5-year mortality of children with Wilms tumor was similar with that of LNs and LND. In addition, the predictive value of LODDS for the 5-year mortality of Wilms tumor patients with tumor in right kidney was higher than that of LNs and LND. These implied that LODDS could also be applied for identifying Wilms tumor patients at high risk of poor prognosis. LODDS is not affected by the number of LNs sent for examination, which can further stratify patients with no LNs (26). The pediatric surgeons and urologists should evaluate more accurate interventions and treatments for patients who are identified to have high risk of poor prognosis. If necessary, surgical management could be applied, and in the future, the development of metaverse including 3D virtual models and robotic surgery will allow surgeons to explore surgical fields of Wilms tumor, which may improve the prognosis of these patients (27).
Several limitations were identified in our study. Firstly, the site and dose of radiation were not included in SEER database, which might be related to Wilms tumor patients’ prognosis. Secondly, International Society of Paediatric Oncology (SIOP) and Children’s Oncology Group (COG) staging are important for evaluating the prognosis and treatment strategies for children with Wilms tumor, but these data were not recorded and evaluated by SEER. This necessitates further well-designed studies to substantiate the findings of this present study.
Conclusions
We found that positive LNs, higher LND and LODDS were related to increased risk of 5-year mortality of patients with Wilms tumor. The predictive value of LODDS for the 5-year mortality of children with Wilms tumor was similar with LNs and LND. The LODDS might help the clinicians identify those with poor prognosis, regardless of nodal positivity, and timely interventions should be provided to these patients to improve their prognosis. However, some important variables were not analyzed, and future studies with external data were required to verify the predictive value of LODDS for the prognosis of children with Wilms tumor.
Acknowledgments
Funding: This project was supported by
Footnote
Reporting Checklist: The authors have completed the STROBE reporting checklist. Available at https://tcr.amegroups.com/article/view/10.21037/tcr-24-959/rc
Peer Review File: Available at https://tcr.amegroups.com/article/view/10.21037/tcr-24-959/prf
Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://tcr.amegroups.com/article/view/10.21037/tcr-24-959/coif). All authors report that this project was supported by Hainan Province Clinical Medical Center (QWYH202175). The authors have no other conflicts of interest to declare.
Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013).
Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
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