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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">OL</journal-id>
<journal-title-group>
<journal-title>Oncology Letters</journal-title>
</journal-title-group>
<issn pub-type="ppub">1792-1074</issn>
<issn pub-type="epub">1792-1082</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/ol.2026.15557</article-id>
<article-id pub-id-type="publisher-id">OL-31-5-15557</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Immune-imaging biomarkers: Prognostic value of splenic volume and circulating lymphocytes in upper tract urothelial carcinoma</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Lo</surname><given-names>Chien-Hsiung</given-names></name>
<xref rid="af1-ol-31-5-15557" ref-type="aff">1</xref>
<xref rid="fn1-ol-31-5-15557" ref-type="author-notes">&#x002A;</xref></contrib>
<contrib contrib-type="author"><name><surname>Lin</surname><given-names>Kun-Che</given-names></name>
<xref rid="af1-ol-31-5-15557" ref-type="aff">1</xref>
<xref rid="af2-ol-31-5-15557" ref-type="aff">2</xref>
<xref rid="fn1-ol-31-5-15557" ref-type="author-notes">&#x002A;</xref></contrib>
<contrib contrib-type="author"><name><surname>Wang</surname><given-names>Chu-An</given-names></name>
<xref rid="af3-ol-31-5-15557" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author"><name><surname>Hu</surname><given-names>Che-Yuan</given-names></name>
<xref rid="af1-ol-31-5-15557" ref-type="aff">1</xref>
<xref rid="af2-ol-31-5-15557" ref-type="aff">2</xref></contrib>
<contrib contrib-type="author"><name><surname>Ou</surname><given-names>Chien-Hui</given-names></name>
<xref rid="af1-ol-31-5-15557" ref-type="aff">1</xref>
<xref rid="af4-ol-31-5-15557" ref-type="aff">4</xref>
<xref rid="af5-ol-31-5-15557" ref-type="aff">5</xref>
<xref rid="c1-ol-31-5-15557" ref-type="corresp"/></contrib>
<contrib contrib-type="author"><name><surname>Jan</surname><given-names>Hau-Chern</given-names></name>
<xref rid="af1-ol-31-5-15557" ref-type="aff">1</xref>
<xref rid="af2-ol-31-5-15557" ref-type="aff">2</xref>
<xref rid="af6-ol-31-5-15557" ref-type="aff">6</xref>
<xref rid="c1-ol-31-5-15557" ref-type="corresp"/></contrib>
</contrib-group>
<aff id="af1-ol-31-5-15557"><label>1</label>Department of Urology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 70403, Taiwan, R.O.C.</aff>
<aff id="af2-ol-31-5-15557"><label>2</label>Institute of Clinical Medicine, College of Medicine, National Cheng Kung University, Tainan 70403, Taiwan, R.O.C.</aff>
<aff id="af3-ol-31-5-15557"><label>3</label>Institute of Basic Medical Sciences, College of Medicine, National Cheng Kung University, Tainan 70401, Taiwan, R.O.C.</aff>
<aff id="af4-ol-31-5-15557"><label>4</label>Department of Urology, College of Medicine, National Cheng Kung University, Tainan 70401, Taiwan, R.O.C.</aff>
<aff id="af5-ol-31-5-15557"><label>5</label>Department of Urology, Tainan Hospital, Ministry of Health and Welfare, Tainan 70043, Taiwan, R.O.C.</aff>
<aff id="af6-ol-31-5-15557"><label>6</label>Division of Urology, Department of Surgery, National Cheng Kung University Hospital Dou-Liou Branch, Yunlin 64043, Taiwan, R.O.C.</aff>
<author-notes>
<corresp id="c1-ol-31-5-15557"><italic>Correspondence to</italic>: Dr Chien-Hui Ou or Dr Hau-Chern Jan, Department of Urology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, 138 Sheng-Li Road, Tainan 70403, Taiwan, R.O.C., E-mail: <email>donou1969@yahoo.com.tw</email>, E-mail: <email>jan.hauchern@gmail.com</email></corresp>
<fn id="fn1-ol-31-5-15557"><label>&#x002A;</label><p>Contributed equally</p></fn></author-notes>
<pub-date pub-type="collection"><month>05</month><year>2026</year></pub-date>
<pub-date pub-type="epub"><day>30</day><month>03</month><year>2026</year></pub-date>
<volume>31</volume>
<issue>5</issue>
<elocation-id>202</elocation-id>
<history>
<date date-type="received"><day>10</day><month>07</month><year>2025</year></date>
<date date-type="accepted"><day>15</day><month>01</month><year>2026</year></date>
</history>
<permissions>
<copyright-statement>Copyright: &#x00A9; Lo et al.</copyright-statement>
<copyright-year>2026</copyright-year>
<license license-type="open-access">
<license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/">Creative Commons Attribution-NonCommercial-NoDerivs License</ext-link>, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.</license-p></license>
</permissions>
<abstract>
<p>Splenomegaly has been linked to a poor prognosis in certain cancer types, possibly due to a weakened immune system. The present study evaluated the association between splenic volume (SV) and oncological outcomes in patients with upper tract urothelial carcinoma (UTUC) after radical nephroureterectomy (RNU). A total of 465 patients with non-metastatic UTUC who underwent RNU between 2009 and 2020, with available preoperative abdominal computed tomography scans and hemogram data collected within 1 month before the operation, were retrospectively analyzed. SV (cm<sup>3</sup>) was calculated using the cross-sectional area summation method and standardized by body surface area (m<sup>2</sup>). A receiver operating characteristic curve identified 79 cm<sup>3</sup>/m<sup>2</sup> as the optimal SV cut-off. Patients were stratified by SV and lymphocyte percentage (lym&#x0025;) values. Survival outcomes were evaluated using Kaplan-Meier analysis and multivariate Cox regression analysis. Among the 465 patients, those with high SV (n=206; 44.3&#x0025;) demonstrated significantly shorter overall survival (OS) and cancer-specific survival (CSS) times. Stratified analysis showed that patients with both elevated SV and low lym&#x0025; had the poorest outcomes, including significantly shorter metastasis-free survival (MFS) time. Multivariate analysis confirmed that the combined high SV/low lym&#x0025; phenotype was an independent predictor of OS, CSS and MFS. In conclusion, the combination of high standardized SV and low lym&#x0025; was independently associated with an unfavorable prognosis following RNU in UTUC. This dual biomarker approach may enhance risk stratification and inform tailored postoperative management.</p>
</abstract>
<kwd-group>
<kwd>splenic volume</kwd>
<kwd>lymphocyte</kwd>
<kwd>prognosis</kwd>
<kwd>outcomes</kwd>
<kwd>upper tract urothelial carcinoma</kwd>
</kwd-group>
<funding-group>
<funding-statement><bold>Funding:</bold> No funding was received.</funding-statement>
</funding-group>
</article-meta>
</front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Upper tract urothelial carcinoma (UTUC) is a relatively uncommon malignancy, accounting for 5&#x2013;10&#x0025; of all UCs worldwide (<xref rid="b1-ol-31-5-15557" ref-type="bibr">1</xref>). Notably, its incidence is disproportionately higher in certain geographic regions, such as Southwestern Taiwan, possibly due to environmental exposures or underlying genetic susceptibility (<xref rid="b2-ol-31-5-15557" ref-type="bibr">2</xref>). Radical nephroureterectomy (RNU) with excision of the bladder cuff remains the gold-standard treatment for high-risk localized UTUC, especially in cases presenting with multifocality, large tumor burden (&#x003E;2 cm), high-grade histology or advanced clinical stage at diagnosis (<xref rid="b3-ol-31-5-15557" ref-type="bibr">3</xref>&#x2013;<xref rid="b5-ol-31-5-15557" ref-type="bibr">5</xref>). Postoperative management following RNU is guided by established prognostic indicators, including pathological stage, tumor grade, lymphovascular invasion and margin status, with adjuvant chemotherapy or salvage radiotherapy considered for patients at increased risk of recurrence or progression (<xref rid="b6-ol-31-5-15557" ref-type="bibr">6</xref>).</p>
<p>More recently, neoadjuvant chemotherapy has emerged as a potential strategy for selected patients with high-risk UTUC, aiming to optimize cisplatin eligibility prior to nephrectomy-induced renal function decline, while immune checkpoint inhibitors have shown promise in advanced and metastatic UC and are being explored in perioperative settings (<xref rid="b7-ol-31-5-15557" ref-type="bibr">7</xref>,<xref rid="b8-ol-31-5-15557" ref-type="bibr">8</xref>). However, despite these systemic treatment advances, their precise role in localized UTUC is still evolving, and robust preoperative biomarkers to guide patient selection are still lacking. As for adjuvant chemotherapy, platinum-based treatment was demonstrated to improve outcomes for patients with high-risk UTUC following RNU in the POUT trial (<xref rid="b9-ol-31-5-15557" ref-type="bibr">9</xref>). Hence, an increasing number of studies have been dedicated to discovering more reliable and feasible prognosticators for selecting high-risk patients who may truly benefit from adjuvant therapy.</p>
<p>Despite adherence to surgical guidelines, clinical outcomes in UTUC remain heterogeneous. Risk stratification after RNU typically incorporates established pathological factors such as tumor stage, grade, lymphovascular invasion (LVI) and surgical margin status (<xref rid="b6-ol-31-5-15557" ref-type="bibr">6</xref>). However, these parameters alone often fail to capture the broader immunological and systemic context influencing tumor progression. Consequently, recent efforts have turned toward identifying systemic biomarkers, particularly those linked to host immunity and inflammation, to improve prognostication (<xref rid="b10-ol-31-5-15557" ref-type="bibr">10</xref>&#x2013;<xref rid="b12-ol-31-5-15557" ref-type="bibr">12</xref>).</p>
<p>Studies have highlighted the prognostic relevance of various systemic inflammatory markers in UTUC, including the neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, monocyte-to-lymphocyte ratio and the systemic immune-inflammation index (<xref rid="b10-ol-31-5-15557" ref-type="bibr">10</xref>&#x2013;<xref rid="b13-ol-31-5-15557" ref-type="bibr">13</xref>). Yet, their predictive precision remains limited. Given the immune-mediated nature of cancer progression, a more integrated approach involving immune organ metrics may enhance clinical risk models.</p>
<p>The spleen, as the largest secondary lymphoid organ and a key component of the reticuloendothelial system, plays a central role in both innate and adaptive immunity (<xref rid="b14-ol-31-5-15557" ref-type="bibr">14</xref>). Emerging evidence suggests that immune dysregulation, manifesting as splenic enlargement due to the accumulation of immune cells, may influence oncological outcomes in various malignancies, including hepatocellular carcinoma (HCC), colorectal cancer and lung cancer (<xref rid="b15-ol-31-5-15557" ref-type="bibr">15</xref>&#x2013;<xref rid="b18-ol-31-5-15557" ref-type="bibr">18</xref>). In particular, the spleen has been implicated in the production and mobilization of tumor-associated macrophages, tumor-associated neutrophils and myeloid-derived suppressor cells (MDSCs), all of which contribute to tumor immune evasion and progression (<xref rid="b19-ol-31-5-15557" ref-type="bibr">19</xref>). Clinical studies in diverse cancer types, including HCC, colorectal cancer and lung cancer, have suggested that increased splenic volume (SV) may correlate with immune suppression and a poor prognosis, possibly mediated through depletion of cytotoxic lymphocyte subsets such as CD4<sup>&#x002B;</sup> T cells and natural killer cells (<xref rid="b16-ol-31-5-15557" ref-type="bibr">16</xref>&#x2013;<xref rid="b18-ol-31-5-15557" ref-type="bibr">18</xref>,<xref rid="b20-ol-31-5-15557" ref-type="bibr">20</xref>,<xref rid="b21-ol-31-5-15557" ref-type="bibr">21</xref>).</p>
<p>To date, no study has systematically examined the prognostic relevance of SV or its interplay with circulating lymphocyte parameters in UTUC. Therefore, the current study aimed to explore the independent and synergistic prognostic value of baseline standardized SV and lymphocyte percentage (lym&#x0025;) in patients with non-metastatic UTUC undergoing RNU.</p>
</sec>
<sec sec-type="materials|methods">
<title>Materials and methods</title>
<sec>
<title/>
<sec>
<title>Study design and patient selection</title>
<p>The present retrospective cohort study included patients with non-metastatic UTUC who underwent RNU at National Cheng Kung University (Tainan, Taiwan) between November 2008 and December 2020. The inclusion criteria were as follows: i) Histologically confirmed UTUC; ii) no evidence of distant metastasis at diagnosis; and iii) availability of preoperative abdominal computed tomography (CT) imaging. Patients were excluded due to any of the following criteria: i) Prior splenectomy; ii) known splenic pathology (e.g., thrombosed splenic aneurysm); iii) no accessible preoperative CT scan; or iv) a postoperative follow-up duration of &#x003C;24 months. Clinical and pathological variables were reviewed from electronic medical records, including age, sex, renal function, tumor characteristics and concomitant bladder cancer. Peripheral lym&#x0025; was extracted from preoperative complete blood count results, collected within 1 month prior to RNU. A diagram of the study design is shown in <xref rid="f1-ol-31-5-15557" ref-type="fig">Fig. 1A</xref>.</p>
</sec>
<sec>
<title>Imaging analysis and SV measurement</title>
<p>For each patient, the most recent abdominal CT scan prior to surgery was retrieved from the Picture Archiving and Communication System. Two experienced readers independently delineated the spleen on axial slices from upper to lower poles using a manual contouring method. The SV was calculated by summing the area of each outlined slice multiplied by the corresponding slice thickness. To account for individual body size differences, SV was standardized to body surface area (m<sup>2</sup>), resulting in a unit of cm<sup>3</sup>/m<sup>2</sup>. Details of the segmentation procedure are shown in <xref rid="SD1-ol-31-5-15557" ref-type="supplementary-material">Fig. S1</xref>. Intra- and inter-observer reliabilities of the SV measurement were assessed by intraclass correlation coefficient (ICC). An ICC value &#x003E;0.75 was considered indicative of excellent agreement (<xref rid="b22-ol-31-5-15557" ref-type="bibr">22</xref>). The SV measurements demonstrated excellent reliability, with an intra-observer ICC of 0.943 (95&#x0025; CI, 0.791&#x2013;0.984) and an inter-observer ICC of 0.951 (95&#x0025; CI, 0.821&#x2013;0.989).</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>All analyses were performed using IBM SPSS Statistics for Windows, version 25.0 (IBM Corp.). Receiver operating characteristic (ROC) curve analysis was applied to determine optimal cut-off values for standardized SV and lym&#x0025;, using all-cause mortality as the endpoint. Continuous variables were compared using independent t-tests or the Mann-Whitney U test, as appropriate, and categorical variables were compared using &#x03C7;<sup>2</sup> tests. Correlations between SV and hematological parameters were evaluated using Pearson&#x0027;s correlation coefficient.</p>
<p>Survival outcomes, including overall survival (OS), cancer-specific survival (CSS) and metastasis-free survival (MFS), were defined as the interval from RNU to death or last follow-up. Patients lost to follow-up or alive at the final follow-up were censored. Survival curves were generated using Kaplan-Meier analysis, and differences were assessed by the log-rank test. Prognostic factors were analyzed using univariate and multivariate Cox proportional hazards models. Two-tailed P&#x003C;0.05 was considered to indicate a statistically significant difference.</p>
</sec>
</sec>
</sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title/>
<sec>
<title>Clinical characteristics of patients with UTUC</title>
<p>Between November 2008 and December 2020, a total of 542 patients who underwent RNU for UTUC at National Cheng Kung University were identified. After excluding 1 patient with a history of a splenic calcified aneurysm with thrombosis, 3 patients who had undergone a splenectomy and 73 patients lacking preoperative abdominal CT imaging, 465 patients were included in the final analysis (<xref rid="f1-ol-31-5-15557" ref-type="fig">Fig. 1A</xref>).</p>
<p>The mean age of the cohort was 69.5&#x00B1;10.4 years (range, 29&#x2013;95 years). Based on ROC analysis using all-cause mortality as the endpoint, the optimal threshold for standardized SV was determined to be 79 cm<sup>3</sup>/m<sup>2</sup> [sensitivity, 52&#x0025;; specificity, 58&#x0025;; area under the curve (AUC), 0.526; 95&#x0025; confidence interval (CI), 0.466&#x2013;0.587], while the optimal cut-off for lym&#x0025; was 21&#x0025; (sensitivity, 58&#x0025;; specificity, 64&#x0025;; AUC, 0.630; 95&#x0025; CI, 0.565&#x2013;0.696) (<xref rid="f1-ol-31-5-15557" ref-type="fig">Fig. 1B</xref>). Of the 465 patients, 206 (44.3&#x0025;) were categorized into the high SV (SV &#x003E;79 cm<sup>3</sup>/m<sup>2</sup>) group. These patients had a significantly higher proportion of males (P=0.015) and worse baseline renal function (P=0.017) than those in the low SV group (n=259). Detailed clinicopathological features are presented in <xref rid="tI-ol-31-5-15557" ref-type="table">Table I</xref>.</p>
</sec>
<sec>
<title>Association between SV and peripheral blood parameters</title>
<p>Given that SV is associated with systemic immune status (<xref rid="b17-ol-31-5-15557" ref-type="bibr">17</xref>,<xref rid="b23-ol-31-5-15557" ref-type="bibr">23</xref>), the differences in peripheral immune cell counts and percentages between high and low SV were evaluated. Results from a comparative analysis (<xref rid="tII-ol-31-5-15557" ref-type="table">Table II</xref>) showed significantly lower lymphocyte count (P=0.001), lym&#x0025; (P&#x003C;0.001) and neutrophil percentage (P=0.001) in patients with high SV compared to those with low SV. No significant difference in platelet count (P=0.167), monocyte count (P=0.959), monocyte percentage (P=0.795), white blood cell count (0.079) or neutrophil count (0.251) was noted. Furthermore, Pearson&#x0027;s correlation showed that the standardized SV was negatively associated with lym&#x0025; (r=&#x2212;0.175, P&#x003C;0.001) (<xref rid="f2-ol-31-5-15557" ref-type="fig">Fig. 2</xref>). Additionally, when patients were stratified based on SV and lym&#x0025;, higher neutrophil percentage showed a trend toward lower lym&#x0025;, independent of SV (<xref rid="SD1-ol-31-5-15557" ref-type="supplementary-material">Fig. S2</xref>).</p>
</sec>
<sec>
<title>Impact of SV and lym&#x0025; on oncological outcomes</title>
<p>Kaplan-Meier analysis revealed that patients with high SV had significantly shorter OS (P=0.027) and CSS (P=0.020) times, and also showed a non-significant trend toward poorer MFS time (P=0.189) (<xref rid="f3-ol-31-5-15557" ref-type="fig">Fig. 3</xref>). Given the observed negative correlation between SV and peripheral lym&#x0025;, both parameters were further integrated to assess their combined impact on patient outcomes. Patients with high SV and low lym&#x0025; exhibited significantly worse OS (P&#x003C;0.001), CSS (P&#x003C;0.001) and MFS (P=0.008) times compared with those with high SV and high lym&#x0025;, or low SV regardless of lym&#x0025; status (<xref rid="f4-ol-31-5-15557" ref-type="fig">Fig. 4</xref>).</p>
<p>To assess the prognostic significance of the combined SV and lym&#x0025;, univariate Cox regression analyses were performed for OS, CSS and MFS (<xref rid="tIII-ol-31-5-15557" ref-type="table">Table III</xref>, <xref rid="tIV-ol-31-5-15557" ref-type="table">Table IV</xref>, <xref rid="tV-ol-31-5-15557" ref-type="table">Table V</xref>). In the univariate analysis, factors significantly associated with poorer outcomes across all three survival endpoints included the combination of high SV with low lym&#x0025;, LVI, lymph node involvement, multifocal tumor location (involving both renal pelvis and ureter), advanced pathological T stage (pT stage), male sex and concomitant bladder cancer. Notably, concomitant bladder cancer and the low SV with low lym&#x0025; subgroup were associated with worse OS and CSS, but not MFS. Multivariate analyses identified LVI, lymph node involvement, advanced pT stage, multifocal tumor location (involving both renal pelvis and ureter), male sex, and high SV with low lym&#x0025; as consistent independent predictors of inferior OS, CSS and MFS.</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>In the present retrospective cohort study of 465 patients with non-metastatic UTUC who underwent RNU, a higher preoperative SV and lower peripheral lym&#x0025; were found to be independently associated with inferior OS, CSS and MFS. Notably, the combined presence of high SV and low lym&#x0025; was the strongest prognostic indicator across all endpoints. These findings suggest that baseline immune and hematological parameters, quantified through imaging and routine blood tests, may offer valuable insights into host-tumor dynamics and support individualized risk stratification.</p>
<p>The present analysis expands on existing literature linking splenomegaly to adverse outcomes in solid malignancies. Prior studies have demonstrated that elevated SV is associated with a poor prognosis in hepatocellular carcinoma, pancreatic cancer, gastric cancer, metastatic colorectal cancer and non-small cell lung cancer (<xref rid="b17-ol-31-5-15557" ref-type="bibr">17</xref>,<xref rid="b20-ol-31-5-15557" ref-type="bibr">20</xref>,<xref rid="b21-ol-31-5-15557" ref-type="bibr">21</xref>,<xref rid="b24-ol-31-5-15557" ref-type="bibr">24</xref>). Consistent with these observations, the present study found that larger baseline SV predicted worse oncological outcomes in UTUC. Importantly, to the best of our knowledge, the present study is the first to evaluate SV in the context of urothelial carcinoma of the upper tract and to integrate peripheral immune status (lym&#x0025;) as a complementary biomarker.</p>
<p>While the mechanistic link between splenic remodeling and cancer outcomes remains under investigation, accumulating evidence from preclinical models supports the role of the spleen in tumor-induced immune suppression (<xref rid="b23-ol-31-5-15557" ref-type="bibr">23</xref>,<xref rid="b25-ol-31-5-15557" ref-type="bibr">25</xref>). Han <italic>et al</italic> (<xref rid="b26-ol-31-5-15557" ref-type="bibr">26</xref>) found that tumor-bearing mice produced erythroblast-like Ter cells in the spleen that promoted hepatocellular carcinoma progression. Additional studies by Zhao <italic>et al</italic> (<xref rid="b27-ol-31-5-15557" ref-type="bibr">27</xref>) and Sano <italic>et al</italic> (<xref rid="b28-ol-31-5-15557" ref-type="bibr">28</xref>) identified CD71<sup>&#x002B;</sup>TER119<sup>&#x002B;</sup> erythroid progenitor cells in the spleen that exert immunosuppressive effects on effector T cells. Moreover, the spleen has been shown to facilitate the generation and expansion of MDSCs in the tumor-bearing state, further contributing to an immunosuppressive milieu and enhanced tumor aggressiveness (<xref rid="b23-ol-31-5-15557" ref-type="bibr">23</xref>,<xref rid="b29-ol-31-5-15557" ref-type="bibr">29</xref>,<xref rid="b30-ol-31-5-15557" ref-type="bibr">30</xref>). Jiang <italic>et al</italic> (<xref rid="b31-ol-31-5-15557" ref-type="bibr">31</xref>) demonstrated a positive correlation between splenic weight and serum mMDSC levels in a mouse model of hepatocellular carcinoma. The clinical relevance of these findings is underscored by the study by Levy <italic>et al</italic> (<xref rid="b32-ol-31-5-15557" ref-type="bibr">32</xref>), which demonstrated that splenectomy inhibited tumor growth and metastasis in non-small cell lung cancer by depleting MDSCs and enhancing cytotoxic T-cell activation. The present findings may therefore reflect a broader impairment of systemic immunity in UTUC. An enlarged spleen may indicate an activated yet functionally exhausted immune state, accompanied by peripheral lymphocyte depletion, diminished antitumor immune surveillance and a pro-inflammatory milieu. Additionally, tumor-stroma interactions likely amplify this process by promoting cytokine-driven immune evasion, neutrophil recruitment and microenvironmental immunosuppression (<xref rid="b17-ol-31-5-15557" ref-type="bibr">17</xref>,<xref rid="b19-ol-31-5-15557" ref-type="bibr">19</xref>,<xref rid="b29-ol-31-5-15557" ref-type="bibr">29</xref>). Together, these mechanisms offer a biological explanation for why patients with high standardized SV and low circulating lym&#x0025; are prone to early metastasis and inferior oncological outcomes.</p>
<p>The combination of imaging-derived SV and routine lym&#x0025; may serve as a non-invasive, cost-effective method for identifying high-risk patients with UTUC who might benefit from intensified surveillance or consideration of adjuvant systemic therapies. Given the lack of robust predictive biomarkers in this population, the present results provide a potentially actionable stratification tool that complements established clinicopathological factors such as stage, LVI and nodal status.</p>
<p>Nevertheless, several limitations warrant consideration. First, the retrospective nature and single-center design of the present study may introduce selection bias and limit generalizability. Second, the study was lacking post-operative immune profiling or longitudinal SV measurements, which restricts the ability to evaluate dynamic immunological changes over time. Finally, although ROC-based cutoffs were used to dichotomize SV and lym&#x0025;, external validation of these thresholds is necessary before clinical application.</p>
<p>In conclusion, higher standardized SV combined with lower circulating lym&#x0025; was identified as a novel, independent predictor of worse survival outcomes in patients with UTUC following RNU. These findings suggest that incorporating baseline standardized SV and lym&#x0025;, alongside established clinicopathological risk factors, can enhance risk stratification and support more individualized postoperative management strategies.</p>
</sec>
<sec sec-type="supplementary-material">
<title>Supplementary Material</title>
<supplementary-material id="SD1-ol-31-5-15557" content-type="local-data">
<caption>
<title>Supporting Data</title>
</caption>
<media mimetype="application" mime-subtype="pdf" xlink:href="Supplementary_Data.pdf"/>
</supplementary-material>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>The authors would like to thank Professor Sheng-Hsiang Lin (Biostatistics Consulting Center, National Cheng Kung University Hospital, Tainan, Taiwan), for providing statistical consulting services.</p>
</ack>
<sec sec-type="data-availability">
<title>Availability of data and materials</title>
<p>The data generated in the present study may be requested from the corresponding author.</p>
</sec>
<sec>
<title>Authors&#x0027; contributions</title>
<p>CHL and HCJ were responsible for the study concept and design. Data acquisition was performed by CHL, CYH, CHO and HCJ. Quality control of data and algorithms was performed by KCL, CYH and CHO. Data analysis and interpretation was performed by CHL, KCL and CAW. The statistical analysis was performed by CHL and KCL. CHL and KCL prepared the manuscript. The manuscript was edited by CHO and HCJ, and reviewed by CAW, CYH, CHO and HCJ. CHL and HCJ confirm the authenticity of all the raw data. All authors have read and agreed to the final version of the manuscript.</p>
</sec>
<sec>
<title>Ethics approval and consent to participate</title>
<p>The present study was approved by the Institutional Review Board of National Cheng Kung University Hospital (Tainan, Taiwan; approval no. B-ER-112-214). The requirement for informed consent was waived by the IRB due to the retrospective nature of the study, and access to follow-up clinical records was granted. All procedures were conducted in accordance with the ethical standards outlined in the Declaration of Helsinki.</p>
</sec>
<sec>
<title>Patient consent for publication</title>
<p>Not applicable.</p>
</sec>
<sec sec-type="COI-statement">
<title>Competing interests</title>
<p>The authors declare that they have no competing interests.</p>
</sec>
<sec>
<title>Use of artificial intelligence tools</title>
<p>During the preparation of this work, AI tools were used to improve the readability and language of the manuscript or to generate images, and subsequently, the authors revised and edited the content produced by the AI tools as necessary, taking full responsibility for the ultimate content of the present manuscript.</p>
</sec>
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<floats-group>
<fig id="f1-ol-31-5-15557" position="float">
<label>Figure 1.</label>
<caption><p>(A) Study flowchart. (B) ROC curve of baseline standardized SV and lym&#x0025;, showing the cut-off value of 79 cm<sup>3</sup>/m<sup>2</sup> for SV and 21&#x0025; for lym&#x0025;. Lym&#x0025;, lymphocyte percentage; SV, splenic volume; ROC, receiver operator characteristic; UTUC, upper tract urothelial carcinoma; CT, computed tomography; RNU, radical nephroureterectomy; AUC, area under the curve.</p></caption>
<alt-text>(A) Study flowchart. (B) ROC curve of baseline standardized SV and lym&#x0025;, showing the cut-off value of 79 cm3/m2 for SV and 21&#x0025; for lym&#x0025;. Lym&#x0025;, lymphocyte percentage...</alt-text>
<graphic xlink:href="ol-31-05-15557-g00.tiff"/>
</fig>
<fig id="f2-ol-31-5-15557" position="float">
<label>Figure 2.</label>
<caption><p>Correlation of standardized baselined SV and peripheral lym&#x0025;. SV, splenic volume; lym&#x0025;, lymphocyte percentage.</p></caption>
<alt-text>Correlation of standardized baselined SV and peripheral lym&#x0025;. SV, splenic volume; lym&#x0025;, lymphocyte percentage...</alt-text>
<graphic xlink:href="ol-31-05-15557-g01.tiff"/>
</fig>
<fig id="f3-ol-31-5-15557" position="float">
<label>Figure 3.</label>
<caption><p>Kaplan-Meier analyses for OS, CSS and MFS based on standardized baseline SV (cm<sup>3</sup>/m<sup>2</sup>). OS, overall survival; CSS, cancer-specific survival; MFS, metastasis-free survival; SV, splenic volume; RNU, radical nephroureterectomy.</p></caption>
<alt-text>Kaplan-Meier analyses for OS, CSS and MFS based on standardized baseline SV (cm3/m2). OS, overall survival; CSS, cancer-specific survival; MFS, metastasis-free...</alt-text>
<graphic xlink:href="ol-31-05-15557-g02.tiff"/>
</fig>
<fig id="f4-ol-31-5-15557" position="float">
<label>Figure 4.</label>
<caption><p>Kaplan-Meier analyses for OS, CSS and MFS based on baseline standardized SV (cm<sup>3</sup>/m<sup>2</sup>) and lym&#x0025;. OS, overall survival; CSS, cancer-specific survival; MFS, metastasis-free survival; SV, splenic volume; RNU, radical nephroureterectomy; lym&#x0025;, lymphocyte percentage.</p></caption>
<alt-text>Kaplan-Meier analyses for OS, CSS and MFS based on baseline standardized SV (cm3/m2) and lym&#x0025;. OS, overall survival; CSS, cancer-specific survival; MFS, metastasis...</alt-text>
<graphic xlink:href="ol-31-05-15557-g03.tiff"/>
</fig>
<table-wrap id="tI-ol-31-5-15557" position="float">
<label>Table I.</label>
<caption><p>Baseline characteristics of the cohort (n=465) according to low (n=259) or high (n=206) SV.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th/>
<th align="center" valign="bottom" colspan="2">Standardized SV</th>
<th/>
</tr>
<tr>
<th/>
<th/>
<th align="center" valign="bottom" colspan="2"><hr/></th>
<th/>
</tr>
<tr>
<th align="left" valign="bottom">Characteristics</th>
<th align="center" valign="bottom">All patients</th>
<th align="center" valign="bottom">Low SV</th>
<th align="center" valign="bottom">High SV</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Mean age at diagnosis of UTUC, years</td>
<td align="center" valign="top">69.5&#x00B1;10.4</td>
<td align="center" valign="top">70.8&#x00B1;9.6</td>
<td align="center" valign="top">68.4&#x00B1;11.5</td>
<td align="center" valign="top">0.015</td>
</tr>
<tr>
<td align="left" valign="top">Median follow-up duration after RNU, months</td>
<td align="center" valign="top">45.8&#x00B1;25.1</td>
<td align="center" valign="top">50.0&#x00B1;25.0</td>
<td align="center" valign="top">38.2&#x00B1;24.9</td>
<td align="center" valign="top">0.011</td>
</tr>
<tr>
<td align="left" valign="top">Age, n (&#x0025;)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.112</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x2264;69 years</td>
<td align="center" valign="top">219 (47)</td>
<td align="center" valign="top">113 (44)</td>
<td align="center" valign="top">106 (51)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003E;69 years</td>
<td align="center" valign="top">246 (53)</td>
<td align="center" valign="top">146 (56)</td>
<td align="center" valign="top">100 (49)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Sex, n (&#x0025;)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.015</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Male</td>
<td align="center" valign="top">203 (44)</td>
<td align="center" valign="top">100 (39)</td>
<td align="center" valign="top">103 (50)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Female</td>
<td align="center" valign="top">262 (56)</td>
<td align="center" valign="top">159 (61)</td>
<td align="center" valign="top">103 (50)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Renal function, n (&#x0025;)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.017</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;eGFR &#x2264;60 ml/min/1.73 m<sup>2</sup></td>
<td align="center" valign="top">274 (59)</td>
<td align="center" valign="top">141 (54)</td>
<td align="center" valign="top">133 (65)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;eGFR &#x003E;60 ml/min/1.73 m<sup>2</sup></td>
<td align="center" valign="top">191 (41)</td>
<td align="center" valign="top">118 (46)</td>
<td align="center" valign="top">73 (35)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">HTN or DM, n (&#x0025;)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.511</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">204 (44)</td>
<td align="center" valign="top">110 (42)</td>
<td align="center" valign="top">94 (46)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">261 (56)</td>
<td align="center" valign="top">149 (58)</td>
<td align="center" valign="top">112 (54)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Previous BC, n (&#x0025;)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.195</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">395 (85)</td>
<td align="center" valign="top">225 (87)</td>
<td align="center" valign="top">170 (83)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">70 (<xref rid="b15-ol-31-5-15557" ref-type="bibr">15</xref>)</td>
<td align="center" valign="top">34 (<xref rid="b13-ol-31-5-15557" ref-type="bibr">13</xref>)</td>
<td align="center" valign="top">36 (<xref rid="b17-ol-31-5-15557" ref-type="bibr">17</xref>)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Concomitant BC, n (&#x0025;)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.480</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">375 (81)</td>
<td align="center" valign="top">212 (82)</td>
<td align="center" valign="top">163 (79)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">90 (<xref rid="b19-ol-31-5-15557" ref-type="bibr">19</xref>)</td>
<td align="center" valign="top">47 (<xref rid="b18-ol-31-5-15557" ref-type="bibr">18</xref>)</td>
<td align="center" valign="top">43 (<xref rid="b21-ol-31-5-15557" ref-type="bibr">21</xref>)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Tumor location, n (&#x0025;)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.683</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Pelvis</td>
<td align="center" valign="top">213 (46)</td>
<td align="center" valign="top">119 (46)</td>
<td align="center" valign="top">94 (46)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Ureter</td>
<td align="center" valign="top">156 (34)</td>
<td align="center" valign="top">90 (35)</td>
<td align="center" valign="top">66 (<xref rid="b32-ol-31-5-15557" ref-type="bibr">32</xref>)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Both</td>
<td align="center" valign="top">96 (<xref rid="b21-ol-31-5-15557" ref-type="bibr">21</xref>)</td>
<td align="center" valign="top">50 (<xref rid="b19-ol-31-5-15557" ref-type="bibr">19</xref>)</td>
<td align="center" valign="top">46 (<xref rid="b22-ol-31-5-15557" ref-type="bibr">22</xref>)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Pathological T stage, n (&#x0025;)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.309</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Tis/a/1</td>
<td align="center" valign="top">158 (34)</td>
<td align="center" valign="top">86 (33)</td>
<td align="center" valign="top">72 (35)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;T2</td>
<td align="center" valign="top">89 (<xref rid="b19-ol-31-5-15557" ref-type="bibr">19</xref>)</td>
<td align="center" valign="top">56 (<xref rid="b22-ol-31-5-15557" ref-type="bibr">22</xref>)</td>
<td align="center" valign="top">33 (<xref rid="b16-ol-31-5-15557" ref-type="bibr">16</xref>)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;T3/4</td>
<td align="center" valign="top">218 (47)</td>
<td align="center" valign="top">117 (45)</td>
<td align="center" valign="top">101 (49)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Lymph node status, n (&#x0025;)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">&#x003E;0.999</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;N0/x</td>
<td align="center" valign="top">435 (94)</td>
<td align="center" valign="top">242 (93)</td>
<td align="center" valign="top">193 (94)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;N&#x002B;</td>
<td align="center" valign="top">30 (<xref rid="b6-ol-31-5-15557" ref-type="bibr">6</xref>)</td>
<td align="center" valign="top">17 (<xref rid="b7-ol-31-5-15557" ref-type="bibr">7</xref>)</td>
<td align="center" valign="top">13 (<xref rid="b6-ol-31-5-15557" ref-type="bibr">6</xref>)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Tumor grade, n (&#x0025;)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.291</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Low</td>
<td align="center" valign="top">15 (<xref rid="b3-ol-31-5-15557" ref-type="bibr">3</xref>)</td>
<td align="center" valign="top">6 (<xref rid="b2-ol-31-5-15557" ref-type="bibr">2</xref>)</td>
<td align="center" valign="top">9 (<xref rid="b4-ol-31-5-15557" ref-type="bibr">4</xref>)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;High</td>
<td align="center" valign="top">450 (97)</td>
<td align="center" valign="top">253 (98)</td>
<td align="center" valign="top">197 (96)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Lymphovascular invasion, n (&#x0025;)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">&#x003E;0.999</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Absent</td>
<td align="center" valign="top">324 (70)</td>
<td align="center" valign="top">180 (69)</td>
<td align="center" valign="top">144 (70)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Present</td>
<td align="center" valign="top">141 (<xref rid="b30-ol-31-5-15557" ref-type="bibr">30</xref>)</td>
<td align="center" valign="top">79 (<xref rid="b31-ol-31-5-15557" ref-type="bibr">31</xref>)</td>
<td align="center" valign="top">62 (<xref rid="b30-ol-31-5-15557" ref-type="bibr">30</xref>)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Adjuvant chemotherapy, n (&#x0025;)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.467</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">411 (88)</td>
<td align="center" valign="top">226 (87)</td>
<td align="center" valign="top">185 (90)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">54 (<xref rid="b12-ol-31-5-15557" ref-type="bibr">12</xref>)</td>
<td align="center" valign="top">33 (<xref rid="b13-ol-31-5-15557" ref-type="bibr">13</xref>)</td>
<td align="center" valign="top">21 (<xref rid="b10-ol-31-5-15557" ref-type="bibr">10</xref>)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Tumor necrosis, n (&#x0025;)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.185</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;No</td>
<td align="center" valign="top">380 (82)</td>
<td align="center" valign="top">206 (80)</td>
<td align="center" valign="top">174 (84)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes</td>
<td align="center" valign="top">85 (<xref rid="b18-ol-31-5-15557" ref-type="bibr">18</xref>)</td>
<td align="center" valign="top">53 (<xref rid="b20-ol-31-5-15557" ref-type="bibr">20</xref>)</td>
<td align="center" valign="top">32 (<xref rid="b16-ol-31-5-15557" ref-type="bibr">16</xref>)</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-ol-31-5-15557"><p>RNU, radical nephroureterectomy; eGFR, preoperative estimated glomerular filtration rate; HTN, hypertension; DM, diabetes mellitus; BC, bladder cancer; SV, splenic volume.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tII-ol-31-5-15557" position="float">
<label>Table II.</label>
<caption><p>Comparison of peripheral blood parameters in patients with low and high SV.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Serum immune cells</th>
<th align="center" valign="bottom">Low SV</th>
<th align="center" valign="bottom">High SV</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">White blood cell counts (&#x00D7;10<sup>9</sup>/l)</td>
<td align="center" valign="top">6,600 (2,600)</td>
<td align="center" valign="top">6,300 (2,900)</td>
<td align="center" valign="top">0.079</td>
</tr>
<tr>
<td align="left" valign="top">Lymphocyte count (&#x00D7;10<sup>9</sup>/l)</td>
<td align="center" valign="top">1,602 (801)</td>
<td align="center" valign="top">1,389 (727)</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">Lymphocyte percentage</td>
<td align="center" valign="top">24.8 (13.0)</td>
<td align="center" valign="top">21.7 (12.2)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Neutrophil count (&#x00D7;10<sup>9</sup>/l)</td>
<td align="center" valign="top">4,320 (2,406)</td>
<td align="center" valign="top">4,163 (2,156)</td>
<td align="center" valign="top">0.241</td>
</tr>
<tr>
<td align="left" valign="top">Neutrophil percentage</td>
<td align="center" valign="top">64.9 (15.2)</td>
<td align="center" valign="top">67.6 (11.5)</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">Monocyte count (&#x00D7;10<sup>9</sup>/l)</td>
<td align="center" valign="top">507 (234)</td>
<td align="center" valign="top">504 (297)</td>
<td align="center" valign="top">0.959</td>
</tr>
<tr>
<td align="left" valign="top">Monocyte percentage</td>
<td align="center" valign="top">7.9 (3.2)</td>
<td align="center" valign="top">7.7 (3.5)</td>
<td align="center" valign="top">0.795</td>
</tr>
<tr>
<td align="left" valign="top">Platelet (&#x00D7;10<sup>9</sup>/l)</td>
<td align="center" valign="top">225 (88)</td>
<td align="center" valign="top">212 (100)</td>
<td align="center" valign="top">0.167</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn2-ol-31-5-15557"><p>Data are presented as median (IQR). SV, splenic volume.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIII-ol-31-5-15557" position="float">
<label>Table III.</label>
<caption><p>Univariate and multivariate Cox regression analyses for predicting cancer-specific survival in patients with upper tract urothelial carcinoma after RNU.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="bottom" colspan="2">Univariate</th>
<th align="center" valign="bottom" colspan="2">Multivariate</th>
</tr>
<tr>
<th/>
<th align="center" valign="bottom" colspan="2"><hr/></th>
<th align="center" valign="bottom" colspan="2"><hr/></th>
</tr>
<tr>
<th align="left" valign="bottom">Characteristic</th>
<th align="center" valign="bottom">HR (95&#x0025; CI)</th>
<th align="center" valign="bottom">P-value</th>
<th align="center" valign="bottom">HR (95&#x0025; CI)</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age at RNU</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003E;69 vs. &#x2264;69 years</td>
<td align="center" valign="top">1.472 (0.997&#x2013;2.172)</td>
<td align="center" valign="top">0.052</td>
<td align="center" valign="top">1.722 (1.154&#x2013;2.568)</td>
<td align="center" valign="top">0.008</td>
</tr>
<tr>
<td align="left" valign="top">Sex</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Female vs. male</td>
<td align="center" valign="top">0.475 (0.321&#x2013;0.702)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">0.561 (0.373&#x2013;0.845)</td>
<td align="center" valign="top">0.006</td>
</tr>
<tr>
<td align="left" valign="top">Renal function status</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;eGFR &#x003C;60 vs. &#x2265;60 ml/min/1.73 m<sup>2</sup></td>
<td align="center" valign="top">1.317 (0.882&#x2013;1.965)</td>
<td align="center" valign="top">0.178</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Hematuria</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes vs. no</td>
<td align="center" valign="top">0.890 (0.523&#x2013;1.516)</td>
<td align="center" valign="top">0.668</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Hydronephrosis</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes vs. no</td>
<td align="center" valign="top">1.187 (0.7361.915)</td>
<td align="center" valign="top">0.483</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Previous BC</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes vs. no</td>
<td align="center" valign="top">1.120 (0.666&#x2013;1.882)</td>
<td align="center" valign="top">0.670</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Concomitant BC</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes vs. no</td>
<td align="center" valign="top">1.614 (1.052&#x2013;2.476)</td>
<td align="center" valign="top">0.028</td>
<td align="center" valign="top">0.937 (0.583&#x2013;1.505)</td>
<td align="center" valign="top">0.788</td>
</tr>
<tr>
<td align="left" valign="top">Tumor location</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Ureter vs. renal pelvis</td>
<td align="center" valign="top">0.870 (0.539&#x2013;1.404)</td>
<td align="center" valign="top">0.569</td>
<td align="center" valign="top">1.241 (0.751&#x2013;2.050)</td>
<td align="center" valign="top">0.400</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Both vs. renal pelvis</td>
<td align="center" valign="top">1.979 (1.263&#x2013;3.100)</td>
<td align="center" valign="top">0.003</td>
<td align="center" valign="top">1.739 (1.078&#x2013;2.805)</td>
<td align="center" valign="top">0.023</td>
</tr>
<tr>
<td align="left" valign="top">Pathological T stage</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;pT2 vs. pTa/1</td>
<td align="center" valign="top">4.230 (1.641&#x2013;10.906)</td>
<td align="center" valign="top">0.003</td>
<td align="center" valign="top">3.468 (1.320&#x2013;9.110)</td>
<td align="center" valign="top">0.012</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;pT3/4 vs. pTa/1</td>
<td align="center" valign="top">12.886 (5.627&#x2013;29.511)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">9.216 (3.887&#x2013;21.852)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Lymph node involvement</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;N&#x002B; vs. Nx/0</td>
<td align="center" valign="top">6.097 (3.728&#x2013;9.969)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">3.862 (2.187&#x2013;6.819)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Tumor grade</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;High vs. low</td>
<td align="center" valign="top">3.236 (0.451&#x2013;23.190)</td>
<td align="center" valign="top">0.243</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Lymphovascular invasion</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Presence vs. absence</td>
<td align="center" valign="top">3.854 (2.613&#x2013;5.686)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">1.857 (1.197&#x2013;2.883)</td>
<td align="center" valign="top">0.006</td>
</tr>
<tr>
<td align="left" valign="top">Adjuvant chemotherapy</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes vs. no</td>
<td align="center" valign="top">1.321 (0.764&#x2013;2.283)</td>
<td align="center" valign="top">0.319</td>
<td align="center" valign="top">0.382 (0.203&#x2013;0.717)</td>
<td align="center" valign="top">0.003</td>
</tr>
<tr>
<td align="left" valign="top">Standardized SV and lym&#x0025; subgroup</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Low SV with high lym&#x0025;</td>
<td align="center" valign="top">Reference</td>
<td/>
<td align="center" valign="top">Reference</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Low SV with low lym&#x0025;</td>
<td align="center" valign="top">1.795 (1.029&#x2013;3.131)</td>
<td align="center" valign="top">0.039</td>
<td align="center" valign="top">1.611 (0.911&#x2013;2.850)</td>
<td align="center" valign="top">0.101</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;High SV with high lym&#x0025;</td>
<td align="center" valign="top">1.176 (0.654&#x2013;2.116)</td>
<td align="center" valign="top">0.588</td>
<td align="center" valign="top">1.140 (0.626&#x2013;2.077)</td>
<td align="center" valign="top">0.668</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;High SV with low lym&#x0025;</td>
<td align="center" valign="top">2.847 (1.727&#x2013;4.692)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">2.142 (1.253&#x2013;3.662)</td>
<td align="center" valign="top">0.005</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn3-ol-31-5-15557"><p>RNU, radical nephroureterectomy; eGFR, estimated glomerular filtration rate; BC, bladder cancer; SV, splenic volume; lym&#x0025;, serum lymphocyte percentage; HR, hazard ratio; CI, confidence interval.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tIV-ol-31-5-15557" position="float">
<label>Table IV.</label>
<caption><p>Univariate and multivariate Cox regression analyses for predicting overall survival in patients with upper tract urothelial carcinoma after RNU.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="bottom" colspan="2">Univariate</th>
<th align="center" valign="bottom" colspan="2">Multivariate</th>
</tr>
<tr>
<th/>
<th align="center" valign="bottom" colspan="2"><hr/></th>
<th align="center" valign="bottom" colspan="2"><hr/></th>
</tr>
<tr>
<th align="left" valign="bottom">Characteristic</th>
<th align="center" valign="bottom">HR (95&#x0025; CI)</th>
<th align="center" valign="bottom">P-value</th>
<th align="center" valign="bottom">HR (95&#x0025; CI)</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age at RNU</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003E;69 vs. &#x2264;69 years</td>
<td align="center" valign="top">1.493 (1.025&#x2013;2.173)</td>
<td align="center" valign="top">0.037</td>
<td align="center" valign="top">1.729 (1.176&#x2013;2.542)</td>
<td align="center" valign="top">0.005</td>
</tr>
<tr>
<td align="left" valign="top">Sex</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Female vs. male</td>
<td align="center" valign="top">0.525 (0.362&#x2013;0.763)</td>
<td align="center" valign="top">0.001</td>
<td align="center" valign="top">0.603 (0.408&#x2013;0.892)</td>
<td align="center" valign="top">0.011</td>
</tr>
<tr>
<td align="left" valign="top">Renal function status</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;eGFR &#x003C;60 vs. &#x2265;60 ml/min/1.73 m<sup>2</sup></td>
<td align="center" valign="top">1.474 (0.995&#x2013;2.184)</td>
<td align="center" valign="top">0.053</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Hematuria</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes vs. no</td>
<td align="center" valign="top">0.907 (0.541&#x2013;1.519)</td>
<td align="center" valign="top">0.710</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Hydronephrosis</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes vs. no</td>
<td align="center" valign="top">1.161 (0.734&#x2013;1.836)</td>
<td align="center" valign="top">0.523</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Previous BC</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes vs. no</td>
<td align="center" valign="top">1.254 (0.773&#x2013;20.32)</td>
<td align="center" valign="top">0.359</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Concomitant BC</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes vs. no</td>
<td align="center" valign="top">1.670 (1.109&#x2013;2.515)</td>
<td align="center" valign="top">0.014</td>
<td align="center" valign="top">1.013 (0.645&#x2013;1.592)</td>
<td align="center" valign="top">0.954</td>
</tr>
<tr>
<td align="left" valign="top">Tumor location</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Ureter vs. renal pelvis</td>
<td align="center" valign="top">0.948 (0.601&#x2013;1.495)</td>
<td align="center" valign="top">0.818</td>
<td align="center" valign="top">1.333 (0.827&#x2013;2.150)</td>
<td align="center" valign="top">0.238</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Both vs. renal pelvis</td>
<td align="center" valign="top">2.003 (1.293&#x2013;3.102)</td>
<td align="center" valign="top">0.002</td>
<td align="center" valign="top">1.759 (1.106&#x2013;2.799)</td>
<td align="center" valign="top">0.017</td>
</tr>
<tr>
<td align="left" valign="top">Pathological T stage</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;pT2 vs. pTa/1</td>
<td align="center" valign="top">2.391 (1.142&#x2013;5.008)</td>
<td align="center" valign="top">0.021</td>
<td align="center" valign="top">1.932 (0.903&#x2013;4.137)</td>
<td align="center" valign="top">0.090</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;pT3/4 vs. pTa/1</td>
<td align="center" valign="top">6.489 (3.543&#x2013;11.887)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">4.601 (2.397&#x2013;8.831)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Lymph node involvement</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;N&#x002B; vs. Nx/0</td>
<td align="center" valign="top">5.749 (3.529&#x2013;9.365)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">3.968 (2.253&#x2013;6.990)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Tumor grade</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;High vs. low</td>
<td align="center" valign="top">1.738 (0.429&#x2013;7.036)</td>
<td align="center" valign="top">0.439</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Lymphovascular invasion</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Presence vs. absence</td>
<td align="center" valign="top">3.534 (2.436&#x2013;5.129)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">1.898 (1.237&#x2013;2.912)</td>
<td align="center" valign="top">0.003</td>
</tr>
<tr>
<td align="left" valign="top">Adjuvant chemotherapy</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes vs. no</td>
<td align="center" valign="top">1.227 (0.712&#x2013;2.114)</td>
<td align="center" valign="top">0.461</td>
<td align="center" valign="top">0.385 (0.206&#x2013;0.723)</td>
<td align="center" valign="top">0.003</td>
</tr>
<tr>
<td align="left" valign="top">Standardized SV and lym&#x0025; subgroup</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Low SV with high lym&#x0025;</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Low SV with low lym&#x0025;</td>
<td align="center" valign="top">1.902 (1.120&#x2013;3.231)</td>
<td align="center" valign="top">0.017</td>
<td align="center" valign="top">1.743 (1.014&#x2013;2.996)</td>
<td align="center" valign="top">0.044</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;High SV with high lym&#x0025;</td>
<td align="center" valign="top">1.160 (0.656&#x2013;2.051)</td>
<td align="center" valign="top">0.609</td>
<td align="center" valign="top">1.158 (0.647&#x2013;2.073)</td>
<td align="center" valign="top">0.621</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;High SV with low lym&#x0025;</td>
<td align="center" valign="top">2.821 (1.738&#x2013;4.577)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">2.201 (1.314&#x2013;3.688)</td>
<td align="center" valign="top">0.003</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn4-ol-31-5-15557"><p>RNU, radical nephroureterectomy; eGFR, estimated glomerular filtration rate; BC, bladder cancer; SV, splenic volume; lym&#x0025;, serum lymphocyte percentage.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tV-ol-31-5-15557" position="float">
<label>Table V.</label>
<caption><p>Univariate and multivariate Cox regression analyses for predicting metastasis-free survival in patients with upper tract urothelial carcinoma after radical nephroureterectomy.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="bottom" colspan="2">Univariate</th>
<th align="center" valign="bottom" colspan="2">Multivariate</th>
</tr>
<tr>
<th/>
<th align="center" valign="bottom" colspan="2"><hr/></th>
<th align="center" valign="bottom" colspan="2"><hr/></th>
</tr>
<tr>
<th align="left" valign="bottom">Characteristic</th>
<th align="center" valign="bottom">HR (95&#x0025; CI)</th>
<th align="center" valign="bottom">P-value</th>
<th align="center" valign="bottom">HR (95&#x0025; CI)</th>
<th align="center" valign="bottom">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age at RNU, years</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;&#x003E;69 vs. &#x2264;69</td>
<td align="center" valign="top">1.005 (0.704&#x2013;1.435)</td>
<td align="center" valign="top">0.978</td>
<td align="center" valign="top">1.203 (0.833&#x2013;1.737)</td>
<td align="center" valign="top">0.325</td>
</tr>
<tr>
<td align="left" valign="top">Sex</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Female vs. male</td>
<td align="center" valign="top">0.572 (0.399&#x2013;0.817)</td>
<td align="center" valign="top">0.002</td>
<td align="center" valign="top">0.658 (0.453&#x2013;0.954)</td>
<td align="center" valign="top">0.037</td>
</tr>
<tr>
<td align="left" valign="top">Renal function status, ml/min/1.73 m<sup>2</sup></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;eGFR &#x003C;60 vs. &#x2265;60</td>
<td align="center" valign="top">0.942 (0.657&#x2013;1.350)</td>
<td align="center" valign="top">0.942</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Hematuria</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes vs. no</td>
<td align="center" valign="top">0.832 (0.505&#x2013;1.373)</td>
<td align="center" valign="top">0.473</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Hydronephrosis</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes vs. no</td>
<td align="center" valign="top">0.991 (0.646&#x2013;1.521)</td>
<td align="center" valign="top">0.969</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Previous BC</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes vs. no</td>
<td align="center" valign="top">1.239 (0.774&#x2013;1.983)</td>
<td align="center" valign="top">0.372</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Concomitant BC</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes vs. no</td>
<td align="center" valign="top">1.461 (0.971&#x2013;2.197)</td>
<td align="center" valign="top">0.069</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Tumor location</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Ureter vs. renal pelvis</td>
<td align="center" valign="top">1.048 (0.680&#x2013;1.616)</td>
<td align="center" valign="top">0.832</td>
<td align="center" valign="top">1.674 (1.063&#x2013;2.637)</td>
<td align="center" valign="top">0.026</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Both vs. renal pelvis</td>
<td align="center" valign="top">2.057 (1.339&#x2013;3.162)</td>
<td align="center" valign="top">0.001</td>
<td align="center" valign="top">2.212 (1.428&#x2013;3.425)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Pathological T stage</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;pT2 vs. pTa/1</td>
<td align="center" valign="top">2.952 (1.224&#x2013;7.122)</td>
<td align="center" valign="top">0.016</td>
<td align="center" valign="top">2.320 (0.949&#x2013;5.672)</td>
<td align="center" valign="top">0.065</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;pT3/4 vs. pTa/1</td>
<td align="center" valign="top">12.885 (6.266&#x2013;26.495)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">8.707 (4.100&#x2013;18.490)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Lymph node involvement</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;N&#x002B; vs. Nx/0</td>
<td align="center" valign="top">5.842 (3.506&#x2013;9.733)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">3.292 (1.843&#x2013;5.880)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Tumor grade</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;High vs. low</td>
<td align="center" valign="top">4.029 (0.563&#x2013;28.838)</td>
<td align="center" valign="top">0.165</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Lymphovascular invasion</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Presence vs. absence</td>
<td align="center" valign="top">4.305 (2.996&#x2013;6.186)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">2.060 (1.388&#x2013;3.057)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Adjuvant chemotherapy</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Yes vs. no</td>
<td align="center" valign="top">2.584 (1.673&#x2013;3.993)</td>
<td align="center" valign="top">&#x003C;0.001</td>
<td align="center" valign="top">0.786 (0.475&#x2013;1.302)</td>
<td align="center" valign="top">0.350</td>
</tr>
<tr>
<td align="left" valign="top">Standardized SV and lym&#x0025; subgroup</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Low SV with high lym&#x0025;</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;Low SV with low lym&#x0025;</td>
<td align="center" valign="top">1.234 (0.744&#x2013;2.046)</td>
<td align="center" valign="top">0.416</td>
<td align="center" valign="top">1.076 (0.641&#x2013;1.807)</td>
<td align="center" valign="top">0.782</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;High SV with high lym&#x0025;</td>
<td align="center" valign="top">0.889 (0.528&#x2013;1.495)</td>
<td align="center" valign="top">0.656</td>
<td align="center" valign="top">0.857 (0.502&#x2013;1.463)</td>
<td align="center" valign="top">0.571</td>
</tr>
<tr>
<td align="left" valign="top">&#x00A0;&#x00A0;High SV with low lym&#x0025;</td>
<td align="center" valign="top">1.834 (1.165&#x2013;2.888)</td>
<td align="center" valign="top">0.009</td>
<td align="center" valign="top">1.649 (1.031&#x2013;2.636)</td>
<td align="center" valign="top">0.037</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn5-ol-31-5-15557"><p>RNU, radical nephroureterectomy; eGFR, estimated glomerular filtration rate; BC, bladder cancer; SV, splenic volume; lym&#x0025;, serum lymphocyte percentage; HR, hazard ratio; CI, confidence interval.</p></fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</article>
