Abstract
Background
The incidence of thromboembolism (TE) is lower in prostate cancer than in other malignancies, but its sequelae are associated with increased mortality. This study investigated the incidence, risk factors, and survival impact of TE in Asian population with localized prostate cancer undergoing surgical management.
Methods
This was a single-center retrospective cohort study of 4,880 localized prostate cancer patients who underwent surgical resection between March 1, 2002, and December 31, 2019. TE, venous thromboembolism (VTE), survival outcome, and related clinical variables were analyzed.
Results
The 3-month TE cumulative incidence was 0.33% and the 3-month VTE incidence was 0.16%. The 2-year TE and VTE incidence were 0.81% and 0.29%, respectively. Older age (≥75) (Subdistribution Hazard Ratio (SHR) 2.16, P = 0.0155) and an elevated C-reactive protein levels (≥0.35 mg/dL) (SHR 2.91, P = 0.0001) were significant risk factors for an increased incidence of TE. Older age (SHR 3.67, P = 0.0113) and pathological venous invasion (SHR 5.13, P = 0.0195) were significant risk factors for an increased incidence of VTE. The occurrence of VTE, older age, a history of diabetes, and high Gleason scores (≥8) were independently associated with poor survival.
Conclusions
The incidence of TE was low in this East Asian cohort of surgically treated patients with localized prostate cancer, however, VTE was an independent predictor of worse overall survival. These findings suggest that pharmacological thromboprophylaxis should be reserved for patients identified as being at high-risk for TE, whereas mechanical measures appear sufficient for the general low-risk cohort.
Keywords
Introduction
Venous thromboembolism (VTE) is a prevalent complication in oncology, with cancer patients experiencing approximately 4- to 6- fold increased risk compared to the general population. 1 The occurrence of VTE is associated with poor survival, increased in-hospital mortality, increased rates of hospitalization, and interruptions in anticancer therapy. Consequently, preventing VTE has been a major concern in cancer patients.2,3 While primary thromboprophylaxis can reduce these risks, routine anticoagulation is not universally recommended due to bleeding concerns.4,5 Recent guidelines emphasize a risk-stratified approach, recommending tailored thromboprophylaxis strategies based on individual patient factors and the type of surgery performed.6-8
The global incidence of prostate cancer is rising, with Asian populations demonstrating upward trends similar to those established in Western and African countries.9,10 The incidence of thromboembolism (TE) in prostate cancer is lower than in other malignancies, with a recent nationwide database study reporting a rate of approximately 3.3%. 11 The rate is even lower in locally advanced disease, with a 2-year cumulative VTE incidence of about 1%. 12 However, this risk profile is largely derived from Western cohorts. VTE incidence is generally considered to be lower in Asians compared to White populations.13-15 As a result, perioperative risk models developed using Western databases may not accurately predict thrombotic risk in Asian patients, potentially leading to inappropriate use of anticoagulation therapies.
Despite the growing burden of prostate cancer in Asia, granular data regarding VTE in East Asian patients with localized disease remains scarce. Determining the precise incidence and specific risk factors in this population is crucial for optimizing thromboprophylaxis protocols. In this study, we aimed to investigate the incidence, risk factors, and survival impact of TE in East Asian patients with localized prostate cancer who underwent surgery.
Methods
Patient Characteristics and Data Collection
This was a single-center retrospective cohort study of patients treated with surgical resection for localized prostate cancer. A total of 4880 patients who underwent open, laparoscopic, or robotic-assisted prostatectomy between March 1, 2002, and December 31, 2019, were included in the study. The study period was concluded in 2019 to ensure adequate follow-up for survival analysis and to exclude potential confounding effects associated with the COVID-19 pandemic. TE was defined as either VTE—includes deep venous thrombosis (DVT) and pulmonary embolism (PE)—or arterial embolism. All TE events were confirmed by imaging. Patients with a history of TE events prior to prostatectomy were excluded to identify only incident cases.
The results of laboratory testing that was performed within 1 month before surgery were collected. We used the Khorana Score cutoff values for hemoglobin levels, leukocyte counts, and platelet counts to predict TE. 16 Surgical specimens were reviewed by our institution’s pathologist to confirm the diagnoses. Gleason scores were used to assess tumor grades. Score of 8 or higher were classified to be high Gleason scores. As there is no universal consensus for the optimal neutrophil-to-lymphocyte ratio (NLR) cutoff value, this study used a cutoff of 1.5, which was defined using maximally selected rank statistics. 17 This approach determines the optimal cutpoint that provides the maximum standard log-rank statistic for predicting time-to-event outcomes. Conversely, the thresholds for C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR) were defined empirically based on the established clinical upper limits of normal (ULN) utilized by our institution’s laboratory.
Statistical Analysis
Overall survival (OS) was analyzed using the Kaplan-Meier method, and survival curves were compared using the log-rank test. OS was defined as the time between the date of surgery and the date of death from any cause. Patients who were alive at the last follow-up were censored. A Cox proportional hazards model was applied to assess the associations between prognostic factors and survival, and hazard ratios (HRs) with 95% confidence intervals (CIs) were estimated. A two-sided P value of less than 0.05 was considered statistically significant. For multivariable analysis, candidate covariates were initially reviewed based on clinical relevance and prior knowledge. Following univariable analysis, variables were further assessed to prevent the inclusion of conceptual overlapping domains. The final multivariable models were constructed by prioritizing clinically important covariates and potential confounders rather than relying solely on statistical significance. To confirm that the remaining covariates in the final models were mutually independent, Variance Inflation Factor (VIF) diagnostics were performed to assess and exclude multicollinearity.
A Fine-Gray subdistribution hazards model was employed to analyze the incidence of TE events, treating death as a competing risk. 18 While the traditional Cox model is accurate for overall survival estimation, 19 it treats competing events as independently censored observations, which frequently overestimates true TE incidence. The Fine-Gray model resolves this by estimating the subdistribution hazard, directly accounting for death as a competing event rather than simply censoring it. Subdistribution HRs (SHRs) with 95% CIs were calculated for relevant variables. P-values for each covariate were determined using a Wald test.
To verify the robustness of our primary findings, additional stratification and sensitivity analyses were performed. To evaluate the consistency of the overall survival models, stratified survival analyses were conducted across baseline tumor burden (pathological T-stage) and histological grade (Gleason score) subgroups. For the thromboembolism and venous thromboembolism analyses, a Cause-Specific Cox model was utilized as a competing-risk sensitivity framework to validate the primary Fine-Gray subdistribution hazard models.
Statistical analysis was performed using R version 4.2.2 (The R Foundation for Statistical Computing, Vienna, Austria. https://www.r-project.org). The study protocol was reviewed and approved by the Institutional Review Board (IRB) of Seoul National University Hospital (IRB No. H-2109-097-1255). The study was conducted in accordance with the Declaration of Helsinki pertaining to biomedical research involving human subjects.
Results
Patient Baseline Characteristics
Baseline Patient Characteristics
Abbreviations: BMI, body mass index; DM, diabetes; Hb, hemoglobin; WBC, white blood cell count; NLR, neutrophil-to-lymphocyte ratio; CRP, C-reactive protein; ESR, erythrocyte sedimentation rate; PSA, prostate-specific antigen.
Incidence and Risk Factors Associated With TE
For the entire cohort of 4,880 patients, the median follow-up duration for TE incidence was 43.1 months (95% CI, 41.7–44.8 months). The 3-month, and 2-year cumulative incidences of TE were 0.33% and 0.81%, respectively (Figure 1A). For VTE, the 3-month and 2-year cumulative incidences were 0.16% and 0.29%, respectively (Figure 1B). Cumulative incidence of localized prostate cancer (A) cumulative incidence of thromboembolism (B) cumulative incidence of venous thromboembolism
Fine–Gray Subdistribution Hazard Analysis of TE
Abbreviations: TE, thromboembolism; SHR, subdistribution hazard ratio; CI, confidence interval; BMI, body mass index; DM, diabetes; Hb, hemoglobin; WBC, white blood cell count; NLR, neutrophil-to-lymphocyte ratio; CRP, C-reactive protein; ESR, erythrocyte sedimentation rate; PSA, prostate-specific antigen; ADT, androgen deprivation therapy.

Cumulative incidence of thromboembolism (TE) among risk factors (A) comparison by age (≥75, <75) (B) comparison by dyslipidemia (positive, negative) (C) comparison by CRP (≥0.35, <0.35)
In addition, older age was significantly associated with an increased risk of VTE. Pathological venous invasion, distant metastasis, and elevated prostate-specific antigen levels (≥20 ng/mL) were associated with significant increases in VTE events (Table 3 and Figure 3). In the subsequent multivariable analysis, older age (SHR 3.67, P = 0.0113), and pathological venous invasion (SHR 5.13, P = 0.0195) remained significant risk factors for VTE. VIF values for remaining variables were below the threshold of 5 (Range: 1.041 – 1.195, Table S1). Likewise, in the above TE model, findings from a separate sensitivity analysis using a cause-specific hazards model with the same covariates as the VTE Fine–Gray multivariable analysis were generally consistent and did not materially change the overall interpretation. Cumulative incidence of venous thromboembolism (VTE) among risk factors
Fine–Gray Subdistribution Hazard Analysis of VTE
Abbreviations: VTE, venous thromboembolism; SHR, subdistribution hazard ratio; CI, confidence interval; BMI, body mass index; DM, diabetes; Hb, hemoglobin; WBC, white blood cell count; NLR, neutrophil-to-lymphocyte ratio; CRP, C-reactive protein; ESR, erythrocyte sedimentation rate; PSA, prostate-specific antigen; ADT, androgen deprivation therapy.
Survival Outcomes
Cox Proportional Hazards Regression Model for Overall Survival
Abbreviations: TE, thromboembolism; VTE, venous thromboembolism; HR, hazard ratio; CI, confidence interval; BMI, body mass index; DM, diabetes; Hb, hemoglobin; WBC, white blood cell count; NLR, neutrophil-to-lymphocyte ratio; CRP, C-reactive protein; ESR, erythrocyte sedimentation rate; PSA, prostate-specific antigen; ADT, androgen deprivation therapy.

Kaplan-meier analysis of overall survival following thromboembolic events (A) overall survival stratified by the occurrence of any thromboembolism (B) overall survival stratified by the occurrence of venous thromboembolism
Prior to multivariable modeling, variables were clinically evaluated to prevent the inclusion of redundant, overlapping domains. Consistent with the TE analysis, to avoid redundancy among systemic inflammatory markers, NLR was excluded instead of CRP, which showed higher HR in univariable analysis and is the more universally standardized laboratory test. Similarly, TE was excluded to prevent clinical overlap with VTE, as VTE demonstrated a higher HR and represents a more specific clinical focus. Pathological extraprostatic extension positivity, and pathological seminal vesicle invasion were excluded due to their definitional clinical overlap with T stages 3 or 4 tumors variable. ESR variable was not included due to a high proportion of missing values. All included variables demonstrated VIF values well below the threshold of 5 (Range: 1.047 – 1.497, Table S1). As a result, older age, diabetes, high Gleason scores, and the occurrence of VTE were independently associated with worse survival outcomes (HR 3.66, P < 0.0001 for age; HR 1.69, P = 0.0172 for diabetes; HR 1.69, P = 0.0458 for Gleason scores; and HR 5.72, P = 0.0013 for VTE; Table 4).
To determine whether the prognostic impact of VTE on overall survival persists independently of baseline tumor burden, an additional stratified survival analysis was performed. VTE remained a strong, independent predictor of mortality across oncologic subgroups. Specifically, the deleterious effect of VTE was highly significant when stratifying by pathological T-stage (both <pT3 and ≥pT3) and by histological grade (both Gleason <8 and Gleason ≥8) (Table S2, Figure S1).
Discussion
In this large cohort study, we demonstrated that the 3-month and 2-year cumulative incidences were 0.33% and 0.81%, respectively, for TE and 0.16% and 0.29%, respectively, for VTE. Regarding VTE only, there were 18 cases of DVT (0.36%), and 10 cases of PE (0.20%). VTE was associated with inferior OS. Older age and elevated CRP levels were significant risk factors for TE in prostate cancer patients undergoing surgery. In addition, older age and pathological venous invasion were associated with an increased risk of VTE.
Prostate cancer is generally considered a malignancy with a relatively low incidence of TE compared to other cancers. 15 The total incidence in our cohort was low, remaining below the approximately 1% rate reported in recent studies.12,15,20,21 TE incidence varies largely among different ethnic and racial groups, with a lower prevalence of VTE in Asians. 14 While the etiology is likely multifactorial, this disparity is largely attributed to the scarcity of thrombophilic genetic polymorphisms in East Asian populations compared to Western cohorts. Specifically, Factor V Leiden and Prothrombin G20210A mutations, which are prevalent in Western cohorts, are virtually absent in this demographic. 22 However, caution regarding TE events is warranted in patients with risk factors. Numerous studies have reported that TE is associated with increased mortality in cancer patients,23-25 and our study similarly confirmed this relationship. This underscores the importance of careful monitoring for TE, particularly in this high-risk population.
Previous studies conducted in prostate cancer patients undergoing surgery have mainly examined differences in TE events according to the type of surgery. LAPPRO cohort study of 3,544 prostate cancer patients undergoing surgery found that lymph node dissection during radical prostatectomy was associated with a significantly increased risk of DVT and PE, particularly after open surgery. Gleason score ≥8, pT4 stage, and a history of VTE was reported as critical independent predictors of thrombosis. 26 In contrast, our study found no significant difference in TE events between open and minimally invasive prostatectomy.
Substantial evidence supports that systemic inflammation increases thrombotic risk. 27 Aligning with our findings, CRP is associated with a higher risk of thrombosis in patients with cancer.28-30 Elevated CRP provides a key connection between inflammation and thrombosis by activating platelets, inducing tissue factor (TF) expression, modulating the coagulation cascade, and inhibiting fibrinolysis. 31 Furthermore, proinflammatory cytokines such as tumor necrosis factor–alpha (TNF-α) and interleukins exacerbate this prothrombotic state by inducing the expression of TF and von Willebrand factor (vWF) from vascular endothelial cells.32,33
Advanced age and high tumor burden are well known risk factors for TE in various cancers.14,34,35 Accordingly, our study demonstrated that age above 75 years significantly increased the risk of both TE and VTE. While previous prostate cancer studies have linked conventional tumor burden markers—such as metastasis and high Gleason score—to increased TE risk, 36 our analysis did not reflect this association. Instead, VTE occurred significantly more frequently in patients with pathological venous invasion. Mechanistically, direct tumor cell invasion into the vasculature likely initiates thrombosis via endothelial injury and the immediate systemic release of procoagulant factors, including tissue factor-bearing microparticles (MPs) and vWF.33,37-40 To our knowledge, this is the first study to report an association between venous invasion on pathological review and an increased risk of VTE in prostate cancer.
Our study has several limitations. First, as a single-center retrospective study, inherent selection bias and missing data for certain variables may have influenced the outcomes. Second, the low incidence of TE and VTE limited the statistical power of our analyses. Despite these limitations, our study is meaningful in that it represents a large cohort study conducted in an East Asian population. Also, we focused on patients with localized prostate cancer who underwent curative surgery. The findings suggest that even in this narrowly defined patient population, the occurrence of venous thrombosis significantly impacts OS.
In conclusion, TE occurred in a relatively small proportion of surgically treated East Asian prostate cancer patients; however, it was associated with increased mortality. Given the 0.4% to 1.4% risk of major bleeding associated with pharmacological interventions, mechanical prophylaxis is a reasonable approach for the majority of low-risk patients. 41 Nevertheless, patients with risk factors such as advanced age or elevated CRP levels had a significantly higher incidence of TE, indicating the need for careful postoperative monitoring in these high-risk individuals. Further studies integrating these baseline clinical predictors with advanced data science and machine learning algorithms may facilitate the development of highly accurate, individualized prognostic models for predicting thromboembolic outcomes.42,43
Supplemental Material
Supplemental Material - Thromboembolic Events After Surgery for Localized Prostate Cancer: Incidence, Risk Factors, and Survival Outcomes
Supplemental Material for Thromboembolic Events After Surgery for Localized Prostate Cancer: Incidence, Risk Factors, and Survival Outcomes by Yongho Noh, Hyunkyung Park, Dong-Yeop Shin, Junshik Hong, Hyunsoo Cho, Ja Min Byun, Youngil Koh, Seung-Hwan Jeong, Hyeongdong Yuk, Sung‐Yong Cho, Chang Wook Jeong, Ja Hyeon Ku, Cheol Kwak and Inho Kim in Clinical and Applied Thrombosis/Hemostasis.
Supplemental Material
Supplemental Material - Thromboembolic Events After Surgery for Localized Prostate Cancer: Incidence, Risk Factors, and Survival Outcomes
Supplemental Material for Thromboembolic Events After Surgery for Localized Prostate Cancer: Incidence, Risk Factors, and Survival Outcomes by Yongho Noh, Hyunkyung Park, Dong-Yeop Shin, Junshik Hong, Hyunsoo Cho, Ja Min Byun, Youngil Koh, Seung-Hwan Jeong, Hyeongdong Yuk, Sung‐Yong Cho, Chang Wook Jeong, Ja Hyeon Ku, Cheol Kwak and Inho Kim in Clinical and Applied Thrombosis/Hemostasis.
Supplemental Material
Supplemental Material - Thromboembolic Events After Surgery for Localized Prostate Cancer: Incidence, Risk Factors, and Survival Outcomes
Supplemental Material for Thromboembolic Events After Surgery for Localized Prostate Cancer: Incidence, Risk Factors, and Survival Outcomes by Yongho Noh, Hyunkyung Park, Dong-Yeop Shin, Junshik Hong, Hyunsoo Cho, Ja Min Byun, Youngil Koh, Seung-Hwan Jeong, Hyeongdong Yuk, Sung‐Yong Cho, Chang Wook Jeong, Ja Hyeon Ku, Cheol Kwak and Inho Kim in Clinical and Applied Thrombosis/Hemostasis.
Footnotes
Ethical Considerations
The study protocol was reviewed and approved by the Institutional Review Board (IRB) of Seoul National University Hospital (IRB No. H-2109-097-1255).
Consent to Participate
Consent to participate has been waived by Seoul National University Hospital IRB.
Funding
The authors received no financial support for the research, authorship, and/or publication of this article.
Declaration of Conflicting Interests
The authors declare no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Data Availability Statement
The data used to support the findings of this study are available from the corresponding author upon reasonable request.
Supplemental Material
Supplemental material for this article is available online.
References
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