A New Clinic-Genetic Risk Score for Predicting Venous Thromboembolic Events in Cancer Patient

Venous thromboembolism (VTE) is a common disease in cancer patients and one of the major causes of cancer-associated mortality. Risk for developing VTE increases when cancer patients are receiving chemotherapy. Current risk scores for predicting cancer-associated VTE in ambulatory patients had low/moderate discrimination and clinical sensitivity. These models use clinical and biochemical parameters of the patient. In the development of VTE genetics play a relevant role. The product Thrombo inCode (TiC) assess VTE risk prediction by using a combination of a genetic risk score (GRS) and clinical parameters from the patient. The investigators hypothesized that the GRS included in TiC combined with clinical parameter some of them associated with cancer could be better predicted by TiC than by current risk scores (Khorana score). After publishing the primary results in 2018, we have expanded the GRS in a external validation cohort adding gliomas and biliary tract tumors. Also we have incorporated the assessment of D-dimer in order to improve the predictive capability.

Sex

All

Minimum age

18 Years

Maximum age

99 Years

Inclusion Criteria:

* Patients over 18 years of age.
* Patients treated in outpatient clinics with a documented histological or cytological diagnosis for non-microcytic lung, colorectal, biliary tract cancer, pancreatic or esophago-gastric cancer at an advanced stage, locally advanced or localized not previously treated with systemic chemotherapy and/or radiation therapy who are candidate for chemotherapy in outpatient setting.
* Performance status 0-2.
* Patients signing the study informed consent form.

Exclusion Criteria:

* Life expectancy of less than 3 months.
* Patients undergoing anti-coagulant treatment before the cancer diagnosis for reasons other than a concurrent venous thromboembolic event.

• RESULTSoria JM, Morange PE, Vila J, Souto JC, Moyano M, Tregouet DA, Mateo J, Saut N, Salas E, Elosua R. Multilocus genetic risk scores for venous thromboembolism risk assessment. J Am Heart Assoc. 2014 Oct 23;3(5):e001060. doi: 10.1161/JAHA.114.001060. PMID 25341889
• RESULTRubio-Terres C, Soria JM, Morange PE, Souto JC, Suchon P, Mateo J, Saut N, Rubio-Rodriguez D, Sala J, Gracia A, Pich S, Salas E. Economic analysis of thrombo inCode, a clinical-genetic function for assessing the risk of venous thromboembolism. Appl Health Econ Health Policy. 2015 Apr;13(2):233-42. doi: 10.1007/s40258-015-0153-x. PMID 25652150
• RESULTMunoz Martin AJ, Ortega I, Font C, Pachon V, Castellon V, Martinez-Marin V, Salgado M, Martinez E, Calzas J, Ruperez A, Souto JC, Martin M, Salas E, Soria JM. Multivariable clinical-genetic risk model for predicting venous thromboembolic events in patients with cancer. Br J Cancer. 2018 Apr;118(8):1056-1061. doi: 10.1038/s41416-018-0027-8. Epub 2018 Mar 28. PMID 29588512
• DERIVEDMunoz A, Ay C, Grilz E, Lopez S, Font C, Pachon V, Castellon V, Martinez-Marin V, Salgado M, Martinez E, Calzas J, Ortega L, Ruperez A, Salas E, Pabinger I, Soria JM. A Clinical-Genetic Risk Score for Predicting Cancer-Associated Venous Thromboembolism: A Development and Validation Study Involving Two Independent Prospective Cohorts. J Clin Oncol. 2023 Jun 1;41(16):2911-2925. doi: 10.1200/JCO.22.00255. Epub 2023 Feb 2. PMID 36730884