Abstract
Chronic kidney disease (CKD) is a common condition among elderly patients and has been reported to be a biomarker for the presence of malignant disease. In addition, unfavorable outcomes for patients with upper tract urothelial carcinoma (UTUC) undergoing radical nephroureterectomy can be due to independent clinical factors. Therefore, the present study analyzed the clinicopathological data of patients with UTUC, who underwent radical nephroureterectomy at our institution, to clarify whether preoperative CKD and other factors are independent predictors of the shorter disease-specific and/or recurrence-free survival time of these patients. A retrospective review of 187 patients who underwent radical nephroureterectomy was conducted, and patients were followed for at least 3 months postoperatively. The clinicopathological factors that are thought to have potentially significant roles in the progression and metastasis of malignant tumors and for disease-specific and recurrence-free survival were evaluated. Positive surgical margins and an estimation of the glomerular filtration rate (eGFR) of <60 were independent factors for the shorter disease-specific survival time in multivariate analysis with Cox's proportional hazards model [hazard ratio (HR), 2.401: 95% confidence interval (CI), 1.044–5.255; and HR, 2.371: 95% CI, 1.024–5.898, respectively]. Another multivariate analysis also revealed that positive surgical margins (HR, 4.477; 95% CI, 2.042–9.469), and preoperative eGFR <60 (HR, 2.362; 95% CI, 1.067–5.592) were independent factors for the worse recurrence-free survival rate in all patients. Patients with UTUC who had eGFR <60 as well as positive surgical margins had significantly shorter time to disease-specific mortality and extraurothelial recurrence. The present study demonstrated that patients with UTUC undergoing radical nephroureterectomy who have CKD as well as positive surgical margins should be carefully followed up postoperatively.
Keywords: upper urinary tract, urothelial carcinoma, chronic kidney disease, surgical margins, prognosis
Introduction
Urothelial carcinoma (UC) is a heterogeneous group of malignant tumors that develop in the lower urinary tract (UT) (bladder and urethra) or in the upper UT (renal pelvis and ureter). Bladder tumors account for 90–95% of UCs and are the most common cancers of the urinary tract (1). In contrast, UTUCs are rare and account for only 5–10% of UCs (2,3). Renal pelvic tumors are twice as frequent as ureteral tumors (4). About 17% of UTUC patients have concurrent bladder cancer. Intravesical recurrence occurred in 22–47% of UTUC patients versus 2–6% in the contralateral upper UT (5–7).
Chronic kidney disease (CKD) is common among elderly patients and has been associated with malignant disease (8,9). In addition, CKD is particularly associated with cancers of the kidneys and urinary tract (10). In our previous report, we evaluated the prognostic factors for ureteral carcinoma, and found that the estimated glomerular filtration rate (eGFR) of <60 ml/min/1.73 m2 was one of the preoperative predictive factors of extraurothelial recurrence as well as that of positive cytology, clinical T at stage ≥3, and the length of ureteral cancer 3 cm in patients with ureteral carcinoma (11). Identification of predictors, including CKD, enabled the selection of candidates for neoadjuvant chemotherapy and/or to decide whether extended lymphadenectomy should be performed during radical nephroureterectomy (11).
However, to date, no report has suggested any prognostic association of preoperative CKD with oncological outcomes such as worse disease-specific and/or recurrence-free survival rates in patients with the cancers of the renal pelvis or the ureter. Therefore, it is imperative to investigate the role of preoperative CKD as a prognostic factor in patients with whole UTUC. Our previous findings suggest that CKD could be a promising prognostic factor for poor prognosis in patients with not only ureteral cancer but also whole UTUC.
In addition, the relatively poor outcomes of patients with localized UTUC undergoing radical nephroureterectomy are influenced by factors such as more aggressive tumor biology, lymphovascular invasion, or lymph node metastasis (12,13). Therefore, we speculate that patients with UTUC who have some clinical factors and CKD could have even worse survival rates than those with either condition. Herein, we retrospectively analyzed the clinicopathological data of patients with UTUC who underwent radical nephroureterectomy at National Defense Medical College (single center). We aimed to clarify whether preoperative CKD as well as other pathological factors are independent predictors of shorter disease-specific and/or recurrence-free survival time in patients with UTUC.
Patients and methods
Patients
We retrospectively reviewed clinicopathological data from the medical records of 187 N0M0 UTUC patients who underwent radical nephroureterectomy and were histologically diagnosed with urothelial carcinoma between March 1999 and March 2017. The retrospective data used to support the findings of this study are included within the article. The study protocol (ID 2734) was accepted on June 14, 2017, by our Institutional Ethics Committee (National Defense Medical College), and an opt-out approach on the web page of the National Defense Medical College was used instead of collecting written informed consent from all participants. A total of 138 men and 49 women of median age 71 years (range: 38–90 years) were included in the present study. The mean follow-up period after surgery was 49.2 months (range: 3.4–209.2 months). Table I shows the additional clinicopathological data.
Table I.
Parameters | Patients, n |
---|---|
Sex | |
Men | 138 |
Women | 49 |
Urine cytology | |
≥IIIb | 116 |
≤IIIa | 71 |
Histology | |
UC + differentiation | 38 |
UC alone | 149 |
Pathological T stage | |
≥T3 | 91 |
≤T2 | 96 |
Tumor grade | |
High | 132 |
PUNLMP/low | 55 |
Lympho node metastasis | |
Positive | 15 |
Negative | 172 |
Ureteral involvement | |
Positive | 100 |
Negative | 87 |
Surgical margins | |
Positive | 21 |
Negative | 166 |
Lymphovascular invasion | |
Positive | 65 |
Negative | 122 |
History of bladder cancer | |
Present | 47 |
Absent | 140 |
CIS | |
Present | 22 |
Absent | 165 |
Hydronephrosis | |
Positive | 112 |
Negative | 75 |
Postoperative recurrence or metastasis | |
Positive | 53 |
Negative | 134 |
Surgical procedure | |
Open | 104 |
Laparoscopic | 83 |
eGFR | |
<60 | 99 |
≥60 | 88 |
CAR | |
≥0.079 | 68 |
<0.079 | 119 |
NLR | |
≥2.035 | 119 |
<2.035 | 67 |
PLR | |
≥165 | 63 |
<165 | 123 |
GPS | |
≥1 | 163 |
0 | 24 |
Fibrinogen (n=146) | |
≥337 | 45 |
<337 | 101 |
UC, urothelial carcinoma; PUNLMP, papillary urothelial neoplasm of low malignant potential; CIS, carcinoma in situ; eGFR, estimated glomerular filtration rate (ml/min/1.73 m2); CAR, C-reactive protein to albumin ratio; NLR, neutrophil to lymphocyte ratio; PLR, platelet to lymphocyte ratio; GPS, Glasgow prognostic score.
Overall, 104 patients were treated by open nephroureterectomy, while 83 were treated by laparoscopic nephroureterectomy. 47 patients had a history of bladder cancer. Regional lymphadenectomy was performed in 57 patients, and extended lymph node dissection was not routinely performed. The method of lymphadenectomy was the same as that described in our previous paper (11). Of the 57 patients who underwent regional lymphadenectomy, 15 had positive lymph node metastasis. Neoadjuvant chemotherapy was administered in four patients, of which two patients developed postoperative recurrence or distant metastasis. Adjuvant chemotherapy was performed in 53 patients with histologically confirmed lymph node involvement or pathologically stage T3 or higher cancer, of which 30 patients developed recurrence and/or distant metastasis. We used a combination of cisplatin and gemcitabine as the chemotherapy regimen for all patients undergoing neoadjuvant or adjuvant chemotherapy. We adjusted the dose of cisplatin according to the renal function of patients undergoing neoadjuvant or adjuvant chemotherapy. Local recurrence or distant metastasis was monitored for each patient every 3–6 months for the first 5 years after surgery and 6–12 months thereafter.
All the surgical specimens were processed according to the standard pathological procedures and were histologically confirmed to be urothelial carcinoma with or without other tumor cell types. The pathological staging of the primary tumor (pT) was assessed according to the American Joint Committee on Cancer Tassification (14), whereas tumor grading was performed according to the 2004 WHO classification of urothelial tumors (15). Tumor slides were evaluated by two pathologists, and patients were divided into two groups on the basis of the 2004 WHO classification system for tumor grading.
Inflammatory indices
Inflammatory indices were evaluated by laboratory tests. The neutrophil to lymphocyte ratio (NLR) was calculated by dividing the absolute neutrophil count by the absolute lymphocyte count (16). The platelet to lymphocyte ratio (PLR) was calculated by dividing the absolute platelet count by the absolute lymphocyte count (16). The C-reactive protein (CRP) to albumin (Alb) ratio (CAR) was calculated by dividing the CRP value by Alb value. The Glasgow prognostic score (GPS) was evaluated by using the CRP and Alb values. Patients with elevated CRP levels (>1 mg/dl) in combination with hypoalbuminemia (<3.5 g/dl) were allocated 2 points. Patients with elevated CRP alone or hypoalbuminemia alone were allocated 1 point, whereas patients exhibiting these parameters within normal limits were allocated 0 points (17). In addition, serum fibrinogen levels acted as inflammatory markers in the present study.
The following formula was used for the estimation of glomerular filtration rate (eGFR) by computation: eGFR (ml/min/1.73 m2)=194 × (serum creatinine)−1.094 x Age−0.287 × (0.739, for women).
This formula is a modified study equation of the Japanese Society of Nephrology-Chronic Kidney Disease Initiatives (JSN-CKDI) coefficient from the isotope dilution mass spectrometry (IDMS)-traceable 4-variable Modification of Diet in Renal Disease (MDRD) Study equation. It was reported to be more accurate for hospitalized Japanese patients with eGFR <60 ml/min/1.73 m2 than the IDMS MDRD Study Equation (18). Laboratory data were measured within a month or two before radical nephroureterectomy.
Statistical analysis
We performed univariate and multivariate analyses by using the Cox proportional hazards model to identify independent factors for shorter disease-specific and recurrence-free survival time. We also performed a receiver operator characteristic(ROC) analysis to determine the cut-off values of eGFR, CAR, NLR, PLR, and fibrinogen levels according to the method shown in previous reports (19–22). We constructed the survival curves by using the Kaplan-Meier method and evaluated the statistical differences among them with the log-rank test. We performed statistical analyses with JMP Pro 11 (SAS Institute, Inc., Cary, NC, USA). P<0.05 was considered to indicate a statistically significant difference.
Results
Independent prognosticator of worse disease-specific survival rate
ROC analysis revealed that patients with eGFR <60, CAR ≥0.079, NLR ≥2.035, PLR ≥165, and fibrinogen levels ≥337 had a significantly higher association with disease-specific deaths than patients without these conditions. The ROC curves are shown in Fig. 1A-E. We constructed a Cox proportional hazards model for detecting the independent factors for worse disease-specific survival rate among preoperative clinicopathological factors for the study subjects. Among these factors, in a univariate analysis, positive urine cytology, tumor histology besides urothelial carcinoma, higher pT stage, high tumor grade, lymph node metastasis, positive surgical margins, and LVI were found to be independent factors for shortened disease-specific survival time (P=0.034, P=0.002, P<0.001, P<0.001, P<0.001, P=0.004, P<0.001, respectively). In addition, in another univariate analysis, preoperative eGFR, CAR, NLR, PLR, GPS, and serum fibrinogen levels acted as independent factors for shortened disease-specific survival time among laboratorial factors (P<0.001, P=0.002, P=0.009, P=0.008, P=0.003, and P<0.001, respectively). Among these factors, positive surgical margins and eGFR <60 ml/min/1.73 m2 were independent factors for the worse disease-specific survival rate in the multivariate analysis [hazard ratio (HR), 2.401; 95% confidence interval (CI), 1.044–5.255; P=0.040, and HR, 2.371; 95% CI, 1.024–5.898; P=0.044, respectively] (Table II).
Table II.
Univariate | Multivariate | |||||
---|---|---|---|---|---|---|
A, Pathological parameters | HR | P-value | HR | 95% CI | P-value | |
Age (≥71 or <71 years) | 1.502 | 0.165 | ||||
Sex (men or women) | 0.832 | 0.569 | ||||
Urine cytology (positive or negative) | 1.971 | 0.034 | 1.479 | 0.679 | 3.398 | 0.330 |
Tumor histology (UC alone or with other component) | 2.895 | 0.002 | 1.371 | 0.514 | 3.380 | 0.514 |
Pathological T stage (≥T3 or ≤T2) | 4.686 | <0.001 | 1.853 | 0.750 | 4.835 | 0.183 |
Tumor grade (high or PUNLMP/low) | 5.056 | <0.001 | 1.824 | 0.643 | 6.025 | 0.268 |
Lymph node metastasis (positive or negative) | 5.066 | <0.001 | 1.021 | 0.300 | 3.150 | 0.972 |
Ureter involvement (positive or negative) | 1.329 | 0.339 | ||||
Surgical margins (positive or negative) | 2.904 | 0.004 | 2.401 | 1.044 | 5.255 | 0.040 |
Lymphovascular invasion (positive or negative) | 7.029 | <0.001 | 2.366 | 0.920 | 6.376 | 0.074 |
History of bladder cancer (present or absent) | 1.046 | 0.893 | ||||
Carcinoma in situ (positive or negative) | 0.676 | 0.429 | ||||
Hydronephrosis (positive or negative) | 1.657 | 0.109 | ||||
Surgical procedure (open or laparoscopic) | 1.463 | 0.209 | ||||
Univariate | Multivariate | |||||
B, Clinical parameters | HR | P-value | HR | P-value | P-value | |
Preoperative eGFR (<60 or ≥60) | 3.259 | <0.001 | 2.371 | 1.024 | 5.898 | 0.044 |
Preoperative CAR (≥0.079 or <0.079) | 2.528 | 0.002 | 1.343 | 0.523 | 3.446 | 0.538 |
Preoperative NLR (≥2.035 or <2.035) | 2.371 | 0.009 | 1.598 | 0.643 | 4.268 | 0.318 |
Preoperative PLR (≥165 or <165) | 2.200 | 0.008 | 0.964 | 0.463 | 2.011 | 0.922 |
Preoperative GPS (≥1 or 0) | 3.088 | 0.003 | 0.985 | 0.303 | 2.941 | 0.979 |
Fibrinogen (≥337 or <337) | 4.199 | <0.001 | 1.632 | 0.618 | 4.240 | 0.321 |
HR, hazard ratio; CI, confidence interval; UC, urothelial carcinoma; CIS, carcinoma in situ; PUNLMP, papillary urothelial neoplasm of low malignant potential; eGFR, estimated glomerular filtration rate (ml/min/1.73 m2); CAR, C-reactive protein to albumin ratio; NLR, neutrophil to lymphocyte ratio; PLR, platelet to lymphocyte ratio; GPS, Glasgow prognostic score.
In fact, the Kaplan-Meier curves and the results of a log-rank test revealed a significant difference in the disease-specific survival rates between patients with and without positive surgical margins and eGFR <60 ml/min/1.73 m2 (P=0.001, P<0.001, respectively) (Fig. 2A and B).
Independent predictors of worse recurrence-free survival rate
In the univariate analysis, recurrence-free survival, that is extraurothelial-recurrence-free survival, was found to be shorter in patients with tumor histology besides urothelial carcinoma, higher pT stage, high tumor grade, lymph node metastasis, positive surgical margins, and LVI (P=0.001, P<0.001, P<0.001, P<0.001, P=0.001, P<0.001, respectively). In addition, in another univariate analysis, preoperative eGFR, CAR, NLR, PLR, GPS, and serum fibrinogen levels acted as independent factors for shortened recurrence-free survival time among laboratorial factors (P<0.001, P=0.004, P=0.040, P=0.019, P=0.003, and P<0.001, respectively). Among these factors, high tumor grade, positive surgical margins, LVI, and preoperative eGFR <60 ml/min/1.73 m2 were found to act as independent factors for worse recurrence-free survival rate in all patients included in the multivariate analysis (HR, 2.934; 95% CI, 1.069–9.570; P=0.036, and HR, 4.477; 95% CI, 2.042–9.469; P<0.001, and HR, 2.615; 95% CI, 1.180–5.969; P=0.018, and HR, 2.362; 95% CI, 1.067–5.592; P=0.034, respectively) (Table III).
Table III.
Univariate | Multivariate | |||||
---|---|---|---|---|---|---|
A, Pathological parameters | HR | P-value | HR | 95% CI | P-value | |
Age (≥71 or <71) | 1.473 | 0.162 | ||||
Sex (men or women) | 0.727 | 0.289 | ||||
Urine cytology (positive or negative) | 1.499 | 0.166 | ||||
Tumor histology (UC alone or with other component) | 2.908 | 0.001 | 1.692 | 0.706 | 3.962 | 0.234 |
Pathological T stage (≥T3 or ≤T2) | 4.965 | <0.001 | 2.010 | 0.911 | 4.719 | 0.085 |
Tumor grade (high or PUNLMP/low) | 5.657 | <0.001 | 2.934 | 1.069 | 9.570 | 0.036 |
Lymph node metastasis (positive or negative) | 5.829 | <0.001 | 1.815 | 0.611 | 4.940 | 0.271 |
Ureter involvement (positive or negative) | 1.300 | 0.347 | ||||
Surgical margins (positive or negative) | 3.210 | 0.001 | 4.477 | 2.042 | 9.469 | <0.001 |
Lymphovascular invasion (positive or negative) | 6.190 | <0.001 | 2.615 | 1.180 | 5.969 | 0.018 |
History of bladder cancer (present or absent) | 1.079 | 0.808 | ||||
Carcinoma in situ (positive or negative) | 0.590 | 0.273 | ||||
Hydronephrosis (positive or negative) | 1.723 | 0.065 | ||||
Surgical procedure (open or laparoscopic) | 1.698 | 0.065 | ||||
Univariate | Multivariate | |||||
B, Clinical parameters | HR | P-value | HR | 95% CI | P-value | |
Preoperative eGFR (<60 or ≥60) | 3.049 | <0.001 | 2.362 | 1.067 | 5.592 | 0.034 |
Preoperative CAR (≥0.079 or <0.079) | 2.265 | 0.004 | 1.091 | 0.467 | 2.480 | 0.838 |
Preoperative NLR (≥2.035 or <2.035) | 1.846 | 0.040 | 1.488 | 0.669 | 3.477 | 0.334 |
Preoperative PLR (≥165 or <165) | 1.939 | 0.019 | 0.877 | 0.434 | 1.755 | 0.711 |
Preoperative GPS (≥1 or 0) | 3.011 | 0.003 | 1.220 | 0.407 | 3.384 | 0.711 |
Fibrinogen (≥337 or <337) | 3.545 | <0.001 | 1.160 | 0.523 | 2.566 | 0.713 |
HR, hazard ratio; CI, confidence interval; UC, urothelial carcinoma; CIS, carcinoma in situ; PUNLMP, papillary urothelial neoplasm of low malignant potential; eGFR, estimated glomerular filtration rate (ml/min/1.73 m2); CAR, C-reactive protein to albumin ratio; NLR, neutrophil to lymphocyte ratio; PLR, platelet to lymphocyte ratio; GPS, Glasgow prognostic score.
The Kaplan-Meier curves and the results of the log-rank test both revealed a significant difference in the recurrence-free survival rates between patients with and without high tumor grade, positive surgical margins, LVI, and preoperative eGFR <60 ml/min/1.73 m2 (both P<0.001) (Fig. 3A and B).
Survival rates in patients with stratified risks
From the aforementioned findings, positive surgical margins and eGFR <60 were found to be independent predictors of worse disease-specific and recurrence-free survival rates. We stratified patients according to the number of independent factors and we used Kaplan-Meier curves and the results of the log-rank test to analyze survival rates. There was a significant difference in disease-specific and recurrence-free survival rates between patients with both positive surgical margins and eGFR <60, those with either factor, and those with neither factor (both P<0.001) (Fig. 4A and B).
Discussion
In the present study, preoperative eGFR <60 ml/min/1.73 m2 was one of the independent predictors of worse disease-specific and recurrence-free survival rate as well as positive surgical margins. Other inflammatory indices such as CAR, NLR, PLR, GPS, and serum fibrinogen levels were found to be independent factors for shortened disease-specific and recurrence-free survival time in univariate analyses, but not for worse survival times in multivariate analyses using Cox proportional hazards models. Based on this finding, we designated preoperative eGFR <60 ml/min/1.73 m2 as a prognosticator of worse survival in addition to positive surgical margins, which were also an independent factor for worse disease-specific and recurrence-free survival rates in multivariate analyses.
CKD has been related to worse recurrence-free and/or disease-specific survival in patients with several urinary tract or urogenital carcinomas such as renal cell carcinoma, bladder urothelial carcinoma, and prostate carcinoma (23–25). Preoperative eGFR <50 ml/min/1.73 m2 as well as an inflammatory status indicated a poor prognosis in patients with UTUC (26). The present study also revealed that inflammatory markers such NLR and PLR were related to poor prognosis in univariate analysis, but not in multivariate analysis, although eGFR <60 ml/min/1.73 m2 was found to be significantly associated with worse disease-specific and recurrence-free survival rates in patients with UTUC who underwent radical nephroureterectomy in multivariate analysis. In addition, others suggested CKD or end-stage renal disease may be involved in the progression or aggressiveness of UTUC, i.e., decreasing disease-specific and/or recurrence-free survival (27–29). Another study has suggested that UTUC patients with CKD undergoing hemodialysis lack the immune cells that recognize the tumor-associated antigens, thereby resulting in the acceptance of tumor progression under the status of immunological suppression (30). These findings suggested that CKD is associated with the aggressiveness of UTUC in several studies, including our study.
The pathophysiological mechanism of the contribution of CKD to poor prognosis in patients with UTUC remains undermined despite some postulated reasons for the association of CKD with high incidence of chronic irritation of the bladder, decrease in urinary washout, atrophic change in the bladder, and uremia (31–33). In addition, an immune defect could be one of the most commonly mentioned mechanisms in patients with CKD who show immune dysfunction characterized by immunosuppression (34). The impaired ability of DNA to repair the cells, deficiencies in adequate nutrition, and chronic infection in urinary tract are also likely reasons for the association of CKD with poorer prognostic survival (35,36). Moreover, several inflammatory markers such as NLR and PLR have been reported to play important roles as prognosticators in UTUC patients who underwent radical nephroureterectomy (37). In fact, a study indicated that CKD is similar in status to inflammation (38).
Positive surgical margins may play a critical role as one of the independent predictors of shorter time to disease-specific death or extraurothelial recurrence in patients undergoing radical nephroureterectomy for UTUC (26,39). Open extravesical or open intravesical bladder cuff excision has been performed for all patients enrolled in the present study; however, there was no significant difference in marginal positivity of the distal excised ureter (data not shown). Recurrence and metastases rates are reported to be clinically similar, regardless of the method of bladder cuff excision performed during laparoscopic radical nephroureterectomy (40).
This study had some potential limitations. First, our sample size was relatively small although we evaluated the rates of disease-specific and recurrence-free survivals as our outcome endpoint. With a longer follow-up and a larger subject population, the statistical strength of our study should be reinforced, allowing us to comment on precise prognostic outcomes. Second, we could not verify the-cause-and-effect relation between CKD and the worse-survival rate in patients with UTUC, although the possible implications about patients with these two conditions were suggested. Third, the serum fibrinogen levels were not estimated in all patients. However, the patients in whom the serum fibrinogen levels were not measured were excluded from statistical analyses. Therefore, we believe that the statistical evaluation in the present study is accurate. Despite these limitations, we speculate that CKD prior to nephroureterectomy in addition to positive surgical margins could provide us additional information about the possibility of worse disease-specific and recurrence-free survival rates.
UTUC patients with CKD showed the worse disease-specific and recurrence-free survival rates in this study. In addition, patients with positive surgical margins also have poor survival rates. Therefore, we recommend that patients with UTUC who have both CKD and positive surgical margins should be monitored carefully after radical nephroureterectomy.
Acknowledgements
Not applicable.
Funding
The present study was funded in part by a research grant from National Defense Medical College (grant no. 21096).
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Authors' contributions
KK, JA, AH, MK, MS, AM, ST, AS and KI were involved in the conception and design of the study. KK collected and analyzed the data, and drafted the manuscript. KK and KI reviewed and edited the manuscript. All authors have read and approved the final manuscript.
Ethics approval and consent to participate
All procedures performed in the present study were in accordance with the ethical standards of National Defense Medical College (Saitama, Japan; no. 2734). The study protocol (ID 2734) was accepted on June 14, 2017, by our institutional ethics committee (National Defense Medical College, Saitama, Japan), and an opt-out approach on the web page of the National Defense Medical College was used instead of collecting written informed consent from all participants.
Patient consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
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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 datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.