PURPOSE: Identifying cancer patients who are most at risk for venous thromboembolism (VTE) is essential to improve timely delivery of chemotherapy. Several studies have been performed to identify novel candidate biomarkers, but no agreement has yet been reached. In this light, we sought to analyze whether a dynamic evaluation of early changes of activated protein C (APC) function during chemotherapy could be predictive of a first VTE episode in cancer outpatients, thus improving risk stratification. METHODS: A retrospective single-center pilot study was conducted to investigate the adequacy of a dynamic evaluation of a novel APC-dependent thrombin generation assay (HemosIL ThromboPath (ThP)) in predicting VTE in 208 ambulatory cancer patients, enrolled on the basis of tight inclusion criteria, prior to start and before the second cycle of a new chemotherapy regimen. RESULTS: Retrospective analysis of samples showed the occurrence of an acquired APC resistance during chemotherapy, which was predictive of VTE. Univariate Cox proportional hazards survival analysis showed that early ThP changes predicted VTE (stable vs. decreasing ThP: hazard ratio (HR) 0.21; 95% CI 0.10-0.19; p < 0.0001), which was confirmed in the multivariate model (HR 0.25; CI 0.12-0.52, p < 0.0001). Stratification of patients according to a risk assessment model showed a 0.18 HR for stable vs. decreasing ThP assay results in an intermediate risk group. CONCLUSIONS: We may thus conclude that early changes of ThP assay in patients on active chemotherapy enhance VTE risk stratification, helping in identifying a population of cancer patients who might benefit from thromboprophylaxis.
PURPOSE: Identifying cancerpatients who are most at risk for venous thromboembolism (VTE) is essential to improve timely delivery of chemotherapy. Several studies have been performed to identify novel candidate biomarkers, but no agreement has yet been reached. In this light, we sought to analyze whether a dynamic evaluation of early changes of activated protein C (APC) function during chemotherapy could be predictive of a first VTE episode in cancer outpatients, thus improving risk stratification. METHODS: A retrospective single-center pilot study was conducted to investigate the adequacy of a dynamic evaluation of a novel APC-dependent thrombin generation assay (HemosIL ThromboPath (ThP)) in predicting VTE in 208 ambulatory cancerpatients, enrolled on the basis of tight inclusion criteria, prior to start and before the second cycle of a new chemotherapy regimen. RESULTS: Retrospective analysis of samples showed the occurrence of an acquired APC resistance during chemotherapy, which was predictive of VTE. Univariate Cox proportional hazards survival analysis showed that early ThP changes predicted VTE (stable vs. decreasing ThP: hazard ratio (HR) 0.21; 95% CI 0.10-0.19; p < 0.0001), which was confirmed in the multivariate model (HR 0.25; CI 0.12-0.52, p < 0.0001). Stratification of patients according to a risk assessment model showed a 0.18 HR for stable vs. decreasing ThP assay results in an intermediate risk group. CONCLUSIONS: We may thus conclude that early changes of ThP assay in patients on active chemotherapy enhance VTE risk stratification, helping in identifying a population of cancerpatients who might benefit from thromboprophylaxis.
Authors: John E Rectenwald; Daniel D Myers; Angela E Hawley; Christopher Longo; Peter K Henke; Kenneth E Guire; Alvin H Schmaier; Thomas W Wakefield Journal: Thromb Haemost Date: 2005-12 Impact factor: 5.249
Authors: P Ferroni; F Martini; I Portarena; I Grenga; S Riondino; F La Farina; A Laudisi; M Roselli; F Guadagni Journal: Thromb Haemost Date: 2011-02-28 Impact factor: 5.249
Authors: M Mandalà; S Barni; M Prins; R Labianca; C Tondini; L Russo; A Milesi; M Cremonesi; M Zaccanelli; C Regonesi; C Moro; A Falanga Journal: Ann Oncol Date: 2009-08-27 Impact factor: 32.976
Authors: Alok A Khorana; Michael B Streiff; Dominique Farge; Mario Mandala; Philippe Debourdeau; Francis Cajfinger; Michel Marty; Anna Falanga; Gary H Lyman Journal: J Clin Oncol Date: 2009-08-31 Impact factor: 44.544