Clinical and Applied Thrombosis/Hemostasis

Venous Thromboembolism in Japanese Patients with Gynecologic Cancer

Objective Gynecologic cancer, including cervical, endometrial, and ovarian cancer, comprises the fifth leading type of cancer and is an important malignant disease in women. Previous studies in Western countries have reported respective prevalence rates for venous thromboembolism (VTE) of 3.3%–18.7%, 0.8%–8.1%, and 7.2%–20.9%. In this study, we aimed to identify the characteristics associated with VTE in Japanese patients. Methods We carried out a retrospective cohort study to compare the clinicopathological characteristics of patients with each gynecologic cancer with and without concomitant VTE. Patients: Patients with cervical, endometrial, or ovarian cancer treated at Fukui Prefectural Hospital, Japan, from April 2010 to March 2020. Results Among 699 patients with gynecologic cancer, 50 developed VTE within 5 years after their cancer diagnosis, including 16/357 patients with cervical cancer (5.6%), 12/185 with endometrial cancer (6.8%), and 22/157 with ovarian cancer (14.6%). The 1-year mortality rate after symptomatic VTE onset was 47.8%. The VTE group included significantly more older patients and more patients with advanced cancer or poor performance status compared with the non-VTE group. There was no significant difference in the rate of surgical treatment. Symptomatic, but not asymptomatic VTE, was associated with shorter survival. Conclusion Several baseline characteristics differed between patients with and without VTE. The incidences of VTE and some risk factors were similar in Japanese patients with gynecologic cancers compared with patients in other countries. Patients with VTE had some factors that worsened their prognosis, with patients with gynecologic cancer and symptomatic VTE having an especially poor prognosis.

Analysis of Risk Factors of Postoperative Lower Extremity Deep Venous Thrombosis in Patients With Cervical Cancer

Deep venous thrombosis (DVT) has a significant negative impact on surgical and tumor patient's safety and quality of life. There was no specific report on the incidence and risk factors of postoperative lower extremity DVT in cervical cancer patients. Analysis of the risk factors of postoperative DVT in patients with cervical cancer is of great clinical significance for prevention and treatment. We retrospectively analyzed 309 cervical cancer patients treated by the Hubei Cervical Cancer Prevention Center and used a logistic regression model to test the risk variables of postoperative lower extremity deep venous thrombosis in cervical cancer patients. By univariate analyses, the results of the study showed that the incidence of postoperative DVT was significantly increased in cervical cancer patients complicated with old age, obesity, high preoperative plasma D-dimer level, increased preoperative triglyceride level, chronic diseases (hypertension, diabetes, and cardiovascular disease), open surgery, long operation time, intraoperative blood transfusion, advanced tumor stage, and preoperative chemotherapy/radiotherapy. Advanced age, obesity, elevated preoperative D-dimer level, high preoperative triglyceride level, and open surgery were independent risk factors for postoperative lower extremity DVT in patients with cervical cancer by multivariate regression analyses (all P < .05). In gynecologic patients with cervical cancer, there is a high incidence of postoperative lower extremity DVT. Clinicians should develop systematic and comprehensive prevention and treatment measures for the risk factors to lower this morbidity and improve patient prognosis.

Construction and Validation of a Nomogram to Predict the Postoperative Venous Thromboembolism Risk in Patients with HGSOC

Venous thromboembolism (VTE) is a common complication in patients with high-grade serous ovarian cancer (HGSOC) after surgery. This study aims to establish a comprehensive risk assessment model to better identify the potential risk of postoperative VTE in HGSOC. Clinical data from 587 HGSOC patients who underwent surgical treatment were retrospectively collected. Univariate and multivariate logistic regression analyses were performed to identify independent factors influencing the occurrence of postoperative VTE in HGSOC. A nomogram model was constructed in the training set and further validated in the verification set. Logistic regression identified age (odds ratio [OR] = 1.063, P  = .002), tumor size (OR = 3.815, P  < .001), postoperative transfusion (OR = 5.646, P  = .001), and postoperative D-dimer (OR = 1.246, P  = .003) as independent risk factors for postoperative VTE in HGSOC patients. A nomogram was constructed using these factors. The receiver operating characteristic curve showed an area under the curve (AUC) of 0.840 (95% confidence interval [CI]: 0.782, 0.898) in the training set and 0.793 (95% CI: 0.704, 0.882) in the validation set. The calibration curve demonstrated a good consistency between model predictions and actual results. The decision curve analysis indicated the model benefits at a threshold probability of less than 70%. A nomogram predicting postoperative VTE in HGSOC was established and validated. This model will assist clinicians in the early identification of high-risk patients, enabling the implementation of appropriate preventive measures.

Plasmin-Antiplasmin Complex as a New Predictive Marker of Postoperative Venous Thromboembolism in Patients with Gynecologic Malignancy

Surgery of gynecologic malignancies often increases the incidence of Venous thromboembolism (VTE). TAT, TM, PIC, t-PAIC are considered to be potential monitoring significance for the change of coagulation and fibrinolytic balance with gynecological malignant tumors. We aimed to explore TAT, PIC, TM, t-PAIC as diagnostic and predictive new marker of postoperative VTE for patients undergoing surgery of gynecologic malignancies and evaluate its related high-risk factors. 103 cases of gynecological surgery were selected. The malignant tumor patients were divided into VTE and non-VTE group. All patients were detected by chemiluminescence immunoassay for TAT, TM, PIC and t-PAIC before and d1, d3 after operation. One month after surgery, the incidence rate of deep vein thrombosis(DVT) in malignant tumor group was 10.20%. Before operation, PIC, t-PAIC levels in malignant tumor group were significantly higher than those in benign tumor group ( P  = .025, P  = .030). D3 after operation, TAT, TM, PIC and t-PAIC levels in malignant tumor group were significantly higher than those in benign tumor group ( P  < .0001, P  = .036, P  = .037, P  < .0001). PIC level of the VTE group was significantly higher than that of the non-VTE group in malignant patients ( P  < .0001). Logistics regression analysis showed that pre-PIC and post-PIC were independent factors of VTE. The AUC of pre-PIC and post-PIC were 0.95, 0.941, with a sensitivity of 100%, 100% and a specificity of 86.4%, 88.6%. As a new predictive biomarker for VTE after the gynecologic malignant surgery, pre-PIC and post-PIC levels are the independent risk factors of DVT and has accurate diagnostic value.

Venous Thromboembolism in Women with Breast and Gynaecological Cancers: What Do We Know and What Should We Do?

Cancer-associated thrombosis (CAT) is a major cause of morbidity and mortality in oncology. Female-specific cancers—including breast, ovarian, endometrial, and cervical malignancies—demonstrate distinct thrombotic profiles influenced by hormonal mechanisms, anatomical features, and treatment strategies. This narrative review synthesizes epidemiological evidence, mechanistic pathways, and clinical trial data to characterize CAT risk across these cancer types. Key modulators of thrombosis include hormonal exposures, tumor histology, inflammatory signaling, tissue factor expression, and therapeutic interventions such as surgery, chemotherapy, endocrine therapy, targeted agents, and immunotherapy. Despite growing understanding, current CAT risk prediction models insufficiently reflect the heterogeneity of female cancers and fail to integrate bleeding risks specific to gynecologic disease and treatment. Optimizing CAT prevention and management will require improved risk stratification tools, individualized thromboprophylaxis strategies, and incorporation of survivorship considerations, including fertility and contraception counseling. A multidisciplinary approach involving oncology, gynecology, and thrombosis specialists is essential to reduce the burden of CAT and improve outcomes for women with cancer.

Development and Validation of a Nomogram to Predict the Probability of Venous Thromboembolism in Patients with Epithelial Ovarian Cancer

Objective To identify predictive factors and develop a nomogram to predict the probability of venous thromboembolism for epithelial ovarian cancer patients. Methods: Our study cohort was composed of 208 EOC patients who had received initial treatment in Sun Yat-sen Memorial Hospital from January 2016 to March 2020. Clinicopathological variables predictive of VTE were identified using univariate logistic analysis. A multivariate logistic regression model was used to select the predictive factors used for nomogram. The accuracy of nomogram was evaluated by the Concordance index (C-index), the area under the receiver–operator characteristic (ROC) curve, area under concentration-time curve (AUC) and the calibration curve. Results: Advancing age (hazard ratio [HR], 1.042; 95% confidence interval [CI], 1.000-1.085; P = .048), higher D-dimer level (HR, 1.144; 95%CI, 1.020-1.283; P = .022), lower PR immunohistochemical positive rate (HR, 0.186; 95%CI, 0.034-1.065; P = .059) and higher Ki67 immunohistochemical positive rate (HR, 4.502; 95%CI, 1.637-12.380; P = .004) were found to be independent risk factors for VTE, and were used to construct the nomogram. The C-index for VTE prediction of the nomogram was 0.75. Conclusions: We constructed and validated a nomogram able to quantify the risk of VTE for EOC patients, which can be applied in recognizing EOC patients with high risk of VTE.