Clonal hematopoiesis of indeterminate potential in coronary disease patients: A 24-year follow-up

A Annabelle Dupont C cynthia carbonneau (Service d’hémostase et transfusion, Centre Hospitalier Universitaire Lille, Lille, France) L Laurene Fenwarth (Unité Mixte de Recherche (UMR) 9020-UMR-S 1277-Canther-Cancer Heterogeneity, Plasticity and Resistance to Therapies, Institut de Recherche contre le Cancer de Lille, University of Lille, CNRS, Inserm, Centre Hospitalier Universitaire Lille, Lille, France) F Flavien Vincent (Cardiology, University Hospital Lille, France (F.V., E.V.B.).) N Nicolas Duployez (Unité Mixte de Recherche (UMR) 9020-UMR-S 1277-Canther-Cancer Heterogeneity, Plasticity and Resistance to Therapies, Institut de Recherche contre le Cancer de Lille, University of Lille, CNRS, Inserm, Centre Hospitalier Universitaire Lille, Lille, France) M Mickael Rosa M Melanie Daniel (University of Lille, Inserm, Centre Hospitalier Universitaire Lille, Institut Pasteur de Lille, U1011-EGID, Lille, France) B Bart Staels (Inserm, Centre Hospitalier Universitaire de Lille, Institut Pasteur de Lille, UMR1011-European Genomic Institute for Diabetes, Université de Lille) C Claude Preudhomme (Unité Mixte de Recherche (UMR) 9020-UMR-S 1277-Canther-Cancer Heterogeneity, Plasticity and Resistance to Therapies, Institut de Recherche contre le Cancer de Lille, University of Lille, CNRS, Inserm, Centre Hospitalier Universitaire Lille, Lille, France) E Eric Van Belle (Department of Cardiology, Institut Cœur Poumon, Centre Hospitalier Universitaire Lille, Lille, France) S Sophie Susen

Abstract

Abstract Background: Cardiovascular disease is highly prevalent and remains a cause of great morbi-mortality worldwide. Growing evidence suggests clonal hematopoiesis of indeterminate potential (CHIP) as an independent cardiovascular risk factor worsening overall survival (OS). However, actual data either comes from large population databases with heterogenous and/or poorly defined CVD or from smaller better-defined populations but with limited follow-up. Aims: We aimed to thoroughly characterize the extent and severity of coronary artery disease (CAD) and OS in CHIP positive patients compared to CHIP negative patients using the COROL (COROonary disease cLinico-biological determinants study) cohort which included patients undergoing coronarography and for which we now have up to 24 years of follow-up. We also evaluated long-term OS in CHIP-positive patients compared to CHIP negative patients according to their CHD status and treatment (angioplasty, medical or coronary by-pass). Methods: We retrospectively analyzed data from the 2050 COROL patients included between 2000-2001 at CHU de Lille in France. Our primary focus was CAD lesions (% of stenosis) by coronarography , treatment (medical, angioplasty or surgery), CHIP (variant allele frequency (VAF) ≥2%, determined using a 70-gene NGS panel) and OS. Statistical analysis for preliminary results included log-rank and Student analysis. The study was pproved by the ethics committe (study number: 99-345). Written consent was obtained for all patients before percuteneous coronarography. Results: Of the 1976/2050 patients that met inclusion criteria (age (mean(IQR)) : 60 years (51-70), 76,2% men), CHIP was found in 342 patients (28.5%). DNMT3a, TET2 and ASXL1 accounted for two-third of the mutated genes. Median OS was worse in both CHIP positive groups : cardiac lesions ≥ 50%, median OS in CHIP positive patients vs CHIP negative patients : 11.2 vs 14.8 years, HR : 1.32; 95% CI [1.15-1.52]; p<0.0001 and cardiac lesions < 50%, median OS in CHIP positive patients vs CHIP negative patients : 9.2 vs 18.9 years, HR : 2.06; 95% CI [1.48-2.88]; p<0.0001). Moreover, no actual CAD treatment (angioplasty, coronary by-pass or medically) could reverse the negative effect of CHIP on OS (angioplasty, median OS in CHIP positive patients vs CHIP negative patients: 12.0 vs 15.6 years HR : 1.55; 95% CI [1.28-1.87]; p<0.0001, medical, median OS in CHIP positive patients vs CHIP negative patients: 8.7 vs 13.0 years, HR: 1.62; 95% CI [0.22-2.15]; p=0.01, coronary by-pass, m edian OS in CHIP positive patients vs CHIP negative patients: 10.6 vs 12.4 years, HR: 1.59; 95% CI [0.90-3.79]; p=0.08). Conclusion: Our study is the first to provide detailed information on CAD extent and treatment in CHIP-positive patients while offering 20+ years of follow-up. It shows an independent negative effect of CHIP on OS independently of the stenosis' severity suggesting all CHIP positive patients should be followed. Moreover, actual CAD treatments do not address the negative impact of CHIP on OS. Identifying CAD patients with CHIP would be important to refine treatment in this subpopulation. Addressing inflammation is a promising avenue as it is the mechanism implicated in DNMT3A and TET2 mutations, the more frequent CHIP.

Article Details

Journal Blood
Volume / Issue Vol. 146, Issue Supplement 1
Published November 03, 2025
Pages 4951-4951
ISSN 0006-4971
Publisher Elsevier BV

Journal Info

Blood

Elsevier BV

ISSN: 0006-4971 Health Sciences

Authors (11)

A

Annabelle Dupont

C

cynthia carbonneau

Service d’hémostase et transfusion, Centre Hospitalier Universitaire Lille, Lille, France

L

Laurene Fenwarth

Unité Mixte de Recherche (UMR) 9020-UMR-S 1277-Canther-Cancer Heterogeneity, Plasticity and Resistance to Therapies, Institut de Recherche contre le Cancer de Lille, University of Lille, CNRS, Inserm, Centre Hospitalier Universitaire Lille, Lille, France

F

Flavien Vincent

Cardiology, University Hospital Lille, France (F.V., E.V.B.).

N

Nicolas Duployez

Unité Mixte de Recherche (UMR) 9020-UMR-S 1277-Canther-Cancer Heterogeneity, Plasticity and Resistance to Therapies, Institut de Recherche contre le Cancer de Lille, University of Lille, CNRS, Inserm, Centre Hospitalier Universitaire Lille, Lille, France

M

Mickael Rosa

M

Melanie Daniel

University of Lille, Inserm, Centre Hospitalier Universitaire Lille, Institut Pasteur de Lille, U1011-EGID, Lille, France

B

Bart Staels

Inserm, Centre Hospitalier Universitaire de Lille, Institut Pasteur de Lille, UMR1011-European Genomic Institute for Diabetes, Université de Lille

C

Claude Preudhomme

Unité Mixte de Recherche (UMR) 9020-UMR-S 1277-Canther-Cancer Heterogeneity, Plasticity and Resistance to Therapies, Institut de Recherche contre le Cancer de Lille, University of Lille, CNRS, Inserm, Centre Hospitalier Universitaire Lille, Lille, France

E

Eric Van Belle

Department of Cardiology, Institut Cœur Poumon, Centre Hospitalier Universitaire Lille, Lille, France

S

Sophie Susen