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Updated: Jun 27, 2025

Author Spotlight: Advancing Cancer Associated Thrombosis Research in Rodent Models
Published on: January 5, 2024
Thrombosis Rates and Genetic Thrombophilia Risk Among Patients With Advanced Germ Cell Tumors Treated With
Landon C Brown1, Myra Robinson2, Michael McCormack3
1Atrium Health Wake Forest Baptist Comprehensive Cancer Center, Winston Salem, NC; Atrium Health, Levine Cancer Institute, Charlotte, NC.
Venous thromboembolism (VTE) risk in advanced germ cell tumors (GCT) patients receiving chemotherapy is high. A 5-SNP panel did not predict VTE, but clinical factors may inform anticoagulation strategies.
Area of Science:
- Oncology
- Genetics
- Hematology
Background:
- Men with advanced germ cell tumors (GCT) undergoing chemotherapy face a significant risk of venous thromboembolism (VTE).
- Identifying reliable predictors for VTE is crucial for implementing effective prophylactic anticoagulation strategies in this patient population.
Purpose of the Study:
- To evaluate the predictive value of a 5-single nucleotide polymorphism (SNP) germline panel for VTE risk in men with advanced GCT.
- To assess the utility of clinical variables and a larger SNP panel in predicting VTE using multivariable models.
Main Methods:
- A cohort of 123 men with advanced GCT (Stage IS, II, III) treated with chemotherapy at two centers was analyzed.
- Genomic risk was determined using a 5-SNP panel, and logistic regression evaluated its association with VTE within six months of chemotherapy initiation.
- Orthogonal Projection to Latent Structures Discriminant Analysis (OPLS-DA) was employed to build predictive models incorporating clinical data and an 86-SNP panel.
Main Results:
- The overall VTE rate in the cohort was 26%, with a 21% incidence of high genomic risk.
- High genomic risk, as defined by the 5-SNP panel, was not significantly associated with an increased VTE rate (31% vs. 25%).
- Multivariable models incorporating clinical variables (Khorana score, N3 status, elevated LDH) showed improved, though not statistically significant, VTE prediction (OR 2.1, P = .18), with an AUC of 0.72. A combined model with clinical variables and 86 SNPs achieved a similar AUC of 0.77.
Conclusions:
- The previously established 5-SNP panel lacks predictive power for VTE in chemotherapy-treated GCT patients.
- Multivariable models integrating clinical variables show potential for VTE risk stratification and warrant further validation for guiding prophylactic anticoagulation decisions.
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