Cornelia Englisch MD , Stephan Nopp MD, MSc , Florian Moik MD, PhD , Daniel Steiner MD , Angelika M. Starzer MD , Monika Fritzer-Szekeres MD , Matthias Preusser MD , Anna S. Berghoff MD, PhD , Ingrid Pabinger MD , Cihan Ay MD
{"title":"Growth Differentiation Factor-15 Predicts Major Bleeding in Cancer Patients","authors":"Cornelia Englisch MD , Stephan Nopp MD, MSc , Florian Moik MD, PhD , Daniel Steiner MD , Angelika M. Starzer MD , Monika Fritzer-Szekeres MD , Matthias Preusser MD , Anna S. Berghoff MD, PhD , Ingrid Pabinger MD , Cihan Ay MD","doi":"10.1016/j.jaccao.2024.11.007","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>The hemostatic system is tightly interconnected with cancer. Research has focused predominantly on thrombotic complications, but less is known about bleeding and bleeding risk prediction. Growth differentiation factor (GDF)-15 has previously emerged as a prognostic biomarker for bleeding.</div></div><div><h3>Objectives</h3><div>The aim of this study was to investigate the association and predictive ability of GDF-15 for bleeding risk in patients with cancer.</div></div><div><h3>Methods</h3><div>The CAT-BLED (Vienna Cancer, Thrombosis, and Bleeding) study is a prospective, observational cohort study including cancer patients initiating systemic anticancer therapies. Patients were followed for up to 2 years for thrombotic and bleeding events. The primary outcome was major bleeding. GDF-15 was measured at inclusion and at 3 and 6 months of follow-up.</div></div><div><h3>Results</h3><div>A total of 779 patients (48% women, median age 62 years, 15% on therapeutic anticoagulation) were included. During a median follow-up period of 18 months, 79 patients (10.1%) experienced major bleeding (12-month cumulative incidence 8.8%; 95% CI: 6.7-10.9). Higher GDF-15 levels were independently associated with increased major bleeding risk (adjusted subdistribution HR per doubling: 1.29; 95% CI: 1.04-1.59), and patients with levels greater than the cohort median (1,864 ng/L) had a significantly higher 12-month cumulative incidence (13.1% vs 4.6%; <em>P</em> < 0.001). This association remained robust in follow-up measurements at 3 and 6 months. GDF-15 showed moderate to good discrimination for predicting 6-month major bleeding risk (C statistic = 0.69; 95% CI: 0.60-0.77). GDF-15 was not associated with venous thromboembolism but was strongly associated with mortality (adjusted HR: 1.37; 95% CI: 1.25-1.50).</div></div><div><h3>Conclusions</h3><div>GDF-15 levels predict major bleeding risk in cancer patients and are not associated with venous thromboembolism, making GDF-15 a particularly promising biomarker for bleeding risk prediction.</div></div>","PeriodicalId":48499,"journal":{"name":"Jacc: Cardiooncology","volume":"7 2","pages":"Pages 141-152"},"PeriodicalIF":12.0000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jacc: Cardiooncology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666087324004241","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Background
The hemostatic system is tightly interconnected with cancer. Research has focused predominantly on thrombotic complications, but less is known about bleeding and bleeding risk prediction. Growth differentiation factor (GDF)-15 has previously emerged as a prognostic biomarker for bleeding.
Objectives
The aim of this study was to investigate the association and predictive ability of GDF-15 for bleeding risk in patients with cancer.
Methods
The CAT-BLED (Vienna Cancer, Thrombosis, and Bleeding) study is a prospective, observational cohort study including cancer patients initiating systemic anticancer therapies. Patients were followed for up to 2 years for thrombotic and bleeding events. The primary outcome was major bleeding. GDF-15 was measured at inclusion and at 3 and 6 months of follow-up.
Results
A total of 779 patients (48% women, median age 62 years, 15% on therapeutic anticoagulation) were included. During a median follow-up period of 18 months, 79 patients (10.1%) experienced major bleeding (12-month cumulative incidence 8.8%; 95% CI: 6.7-10.9). Higher GDF-15 levels were independently associated with increased major bleeding risk (adjusted subdistribution HR per doubling: 1.29; 95% CI: 1.04-1.59), and patients with levels greater than the cohort median (1,864 ng/L) had a significantly higher 12-month cumulative incidence (13.1% vs 4.6%; P < 0.001). This association remained robust in follow-up measurements at 3 and 6 months. GDF-15 showed moderate to good discrimination for predicting 6-month major bleeding risk (C statistic = 0.69; 95% CI: 0.60-0.77). GDF-15 was not associated with venous thromboembolism but was strongly associated with mortality (adjusted HR: 1.37; 95% CI: 1.25-1.50).
Conclusions
GDF-15 levels predict major bleeding risk in cancer patients and are not associated with venous thromboembolism, making GDF-15 a particularly promising biomarker for bleeding risk prediction.
期刊介绍:
JACC: CardioOncology is a specialized journal that belongs to the esteemed Journal of the American College of Cardiology (JACC) family. Its purpose is to enhance cardiovascular care for cancer patients by publishing high-quality, innovative scientific research and sharing evidence-based knowledge.
The journal aims to revolutionize the field of cardio-oncology and actively involve and educate professionals in both cardiovascular and oncology fields. It covers a wide range of topics including pre-clinical, translational, and clinical research, as well as best practices in cardio-oncology. Key areas of focus include understanding disease mechanisms, utilizing in vitro and in vivo models, exploring novel and traditional therapeutics (across Phase I-IV trials), studying epidemiology, employing precision medicine, and investigating primary and secondary prevention.
Amyloidosis, cardiovascular risk factors, heart failure, and vascular disease are some examples of the disease states that are of particular interest to the journal. However, it welcomes research on other relevant conditions as well.