G. Gerotziafas, D. Fotiou, T. Sergentanis, L. Papageorgiou, J. Fareed, A. Falanga, M. Sabbah, L. Garderet, E. Terpos, I. Elalamy, P. Van Dreden, M. Dimopoulos
{"title":"Treatment Resistance Risk in Patients with Newly Diagnosed Multiple Myeloma Is Associated with Blood Hypercoagulability: The ROADMAP-MM Study","authors":"G. Gerotziafas, D. Fotiou, T. Sergentanis, L. Papageorgiou, J. Fareed, A. Falanga, M. Sabbah, L. Garderet, E. Terpos, I. Elalamy, P. Van Dreden, M. Dimopoulos","doi":"10.3390/hemato3010016","DOIUrl":null,"url":null,"abstract":"Biomarkers of hypercoagulability are potential candidates for the evaluation of risk for primary treatment resistance in patients with newly diagnosed multiple myeloma (NDMM). This study aimed to identify the most clinically relevant biomarkers for the evaluation of treatment-resistance risk. NDMM patients (n = 144) were enrolled prior to treatment initiation. Response to treatment was assessed at 3 months. STA-Procoag-PPL®, factor VIIa factor V, antithrombin, fibrin monomers, soluble thrombomodulin (TM), free TFPI, D-Dimer, P-selectin, heparanase, and thrombin generation (Calibrated Automated Thrombogram® and PPP-Reagent®) were measured. In total, 23% (n = 33) of the patients showed a poor response/resistance to treatment (defined as stable disease, minor response, progressive disease). Poor response/treatment resistance was associated with longer Procoag-PPL® clotting time, higher Peak of thrombin, and higher D-Dimer levels. These biomarkers were included in a prognostic model derived via multivariate analysis. The model had 84% sensitivity and 59% specificity to identify patients at high risk of treatment resistance. The AUC of the ROC analysis for the model was 0.75. In conclusion, Procoag-PPL®, D-Dimer, and Peak of thrombin generation are clinically relevant for the identification of NDMM patients at risk for poor response to antimyeloma treatment. A prospective multicenter study is necessary for the validation of this new approach.","PeriodicalId":93705,"journal":{"name":"Hemato","volume":" ","pages":""},"PeriodicalIF":0.9000,"publicationDate":"2022-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hemato","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/hemato3010016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"HEMATOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Biomarkers of hypercoagulability are potential candidates for the evaluation of risk for primary treatment resistance in patients with newly diagnosed multiple myeloma (NDMM). This study aimed to identify the most clinically relevant biomarkers for the evaluation of treatment-resistance risk. NDMM patients (n = 144) were enrolled prior to treatment initiation. Response to treatment was assessed at 3 months. STA-Procoag-PPL®, factor VIIa factor V, antithrombin, fibrin monomers, soluble thrombomodulin (TM), free TFPI, D-Dimer, P-selectin, heparanase, and thrombin generation (Calibrated Automated Thrombogram® and PPP-Reagent®) were measured. In total, 23% (n = 33) of the patients showed a poor response/resistance to treatment (defined as stable disease, minor response, progressive disease). Poor response/treatment resistance was associated with longer Procoag-PPL® clotting time, higher Peak of thrombin, and higher D-Dimer levels. These biomarkers were included in a prognostic model derived via multivariate analysis. The model had 84% sensitivity and 59% specificity to identify patients at high risk of treatment resistance. The AUC of the ROC analysis for the model was 0.75. In conclusion, Procoag-PPL®, D-Dimer, and Peak of thrombin generation are clinically relevant for the identification of NDMM patients at risk for poor response to antimyeloma treatment. A prospective multicenter study is necessary for the validation of this new approach.