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Shi C, van der Wal HH, Silljé HHW, Dokter MM, van den Berg F, Huizinga L, Vriesema M, Post J, Anker SD, Cleland JG, Ng LL, Samani NJ, Dickstein K, Zannad F, Lang CC, van Haelst PL, Gietema JA, Metra M, Ameri P, Canepa M, van Veldhuisen DJ, Voors AA, de Boer RA. Tumour biomarkers: association with heart failure outcomes. J Intern Med 2020; 288:207-218. [PMID: 32372544 PMCID: PMC7496322 DOI: 10.1111/joim.13053] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Revised: 02/18/2020] [Accepted: 02/25/2020] [Indexed: 12/18/2022]
Abstract
BACKGROUND There is increasing recognition that heart failure (HF) and cancer are conditions with a number of shared characteristics. OBJECTIVES To explore the association between tumour biomarkers and HF outcomes. METHODS In 2,079 patients of BIOSTAT-CHF cohort, we measured six established tumour biomarkers: CA125, CA15-3, CA19-9, CEA, CYFRA 21-1 and AFP. RESULTS During a median follow-up of 21 months, 555 (27%) patients reached the primary end-point of all-cause mortality. CA125, CYFRA 21-1, CEA and CA19-9 levels were positively correlated with NT-proBNP quartiles (all P < 0.001, P for trend < 0.001) and were, respectively, associated with a hazard ratio of 1.17 (95% CI 1.12-1.23; P < 0.0001), 1.45 (95% CI 1.30-1.61; P < 0.0001), 1.19 (95% CI 1.09-1.30; P = 0.006) and 1.10 (95% CI 1.05-1.16; P < 0.001) for all-cause mortality after correction for BIOSTAT risk model (age, BUN, NT-proBNP, haemoglobin and beta blocker). All tumour biomarkers (except AFP) had significant associations with secondary end-points (composite of all-cause mortality and HF hospitalization, HF hospitalization, cardiovascular (CV) mortality and non-CV mortality). ROC curves showed the AUC of CYFRA 21-1 (0.64) had a noninferior AUC compared with NT-proBNP (0.68) for all-cause mortality (P = 0.08). A combination of CYFRA 21-1 and NT-proBNP (AUC = 0.71) improved the predictive value of the model for all-cause mortality (P = 0.0002 compared with NT-proBNP). CONCLUSIONS Several established tumour biomarkers showed independent associations with indices of severity of HF and independent prognostic value for HF outcomes. This demonstrates that pathophysiological pathways sensed by these tumour biomarkers are also dysregulated in HF.
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Affiliation(s)
- C Shi
- From the, Department of Cardiology, Uni, University Medical Center Groningen, Groningen, the Netherlands.,University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - H H van der Wal
- From the, Department of Cardiology, Uni, University Medical Center Groningen, Groningen, the Netherlands.,University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - H H W Silljé
- From the, Department of Cardiology, Uni, University Medical Center Groningen, Groningen, the Netherlands.,University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - M M Dokter
- From the, Department of Cardiology, Uni, University Medical Center Groningen, Groningen, the Netherlands.,University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - F van den Berg
- From the, Department of Cardiology, Uni, University Medical Center Groningen, Groningen, the Netherlands.,University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - L Huizinga
- From the, Department of Cardiology, Uni, University Medical Center Groningen, Groningen, the Netherlands.,University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - M Vriesema
- From the, Department of Cardiology, Uni, University Medical Center Groningen, Groningen, the Netherlands.,University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - J Post
- From the, Department of Cardiology, Uni, University Medical Center Groningen, Groningen, the Netherlands.,University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - S D Anker
- Department of Cardiology, Berlin-Brandenburg Center for Regenerative Therapies, German Centre for Cardiovascular Research (DZHK) Partner site Berlin, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - J G Cleland
- National Heart & Lung Institute, Royal Brompton & Harefield Hospitals, Imperial College, London, UK.,Robertson Institute of Biostatistics and Clinical Trials Unit, University of Glasgow, Glasgow, UK
| | - L L Ng
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK.,NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - N J Samani
- Department of Cardiovascular Sciences, University of Leicester, Leicester, UK.,NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester, UK
| | - K Dickstein
- University of Bergen, Stavanger University Hospital, Stavanger, Norway
| | - F Zannad
- Clinical Investigation Center 1433, French Clinical Research Infrastructure Network, Investigation Network Initiative-Cardiovascular and Renal Clinical Trialists, Centre Hospitalier Regional et Universitaire de Nancy, Vandoeuvre les Nancy, France
| | - C C Lang
- Division of Molecular and Clinical Medicine, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK
| | - P L van Haelst
- F. Hoffmann-La Roche Ltd. Diagnostics Division, Basel, Switzerland
| | - J A Gietema
- Department of Medical Oncology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - M Metra
- Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, Institute of Cardiology, University of Brescia, Brescia, Italy
| | - P Ameri
- Cardiovascular Disease Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy.,IRCCS Italian Cardiovascular Network, Department of Internal Medicine, University of Genova, Genova, Italy
| | - M Canepa
- Cardiovascular Disease Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy.,IRCCS Italian Cardiovascular Network, Department of Internal Medicine, University of Genova, Genova, Italy
| | - D J van Veldhuisen
- From the, Department of Cardiology, Uni, University Medical Center Groningen, Groningen, the Netherlands.,University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - A A Voors
- From the, Department of Cardiology, Uni, University Medical Center Groningen, Groningen, the Netherlands.,University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - R A de Boer
- From the, Department of Cardiology, Uni, University Medical Center Groningen, Groningen, the Netherlands.,University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
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van Haelst PL, van Doormaal JJ, May JF, Gans RO, Crijns HJ, Tervaert JW. Secondary prevention with fluvastatin decreases levels of adhesion molecules, neopterin and C-reactive protein. Eur J Intern Med 2001; 12:503-9. [PMID: 11711273 DOI: 10.1016/s0953-6205(01)00172-8] [Citation(s) in RCA: 45] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
BACKGROUND Treatment of hypercholesterolaemia with HMG-CoA reductase inhibitors results in an earlier reduction of morbidity and mortality than expected from trials using conventional cholesterol-lowering therapies. Possible explanations for this effect include stimulation of angiogenesis, improvement of endothelial function, plaque stabilisation, inhibition of coagulation and/or thrombocyte aggregation and inhibition of the inflammatory response associated with atherosclerosis. METHODS We investigated whether statins exert their effects by inhibition of endothelial activation, inflammation and/or monocyte/macrophage activation by measuring plasma levels of soluble cell adhesion molecules, neopterin and C-reactive protein upon treatment with fluvastatin for a period of 12 months in patients with established atherosclerosis and hypercholesterolaemia. RESULTS Blood samples were taken at baseline and at 3 and 12 months after starting treatment with fluvastatin 80 mg daily. Upon treatment, a reduction of s-ICAM-1 (956.3+/-123.6 vs. 745.4+/-127.4 vs. 674.9+/-70.8 ng/ml, P<0.05) and s-E-selectin (58.6+/-6.7 vs. 47.0+/-6.1 vs. 44.9+/-3.2 ng/ml, P<0.01) was observed. In addition, levels of neopterin decreased, albeit transiently (7.1+/-0.7 vs. 6.0+/-0.5 vs. 6.5+/-0.8 nmol/l, P=0.02), suggesting a reduction in monocyte/macrophage activity. Moreover, we found a decrease in levels of C-reactive protein during follow-up (5.21+/-2.0 vs. 3.18+/-0.7 vs. 1.95+/-0.3 mg/l, P<0.05), compatible with a reduction in inflammatory activity. CONCLUSION We conclude that statins have a combined beneficial effect on monocyte/macrophage activity, endothelial function and systemic inflammatory activity.
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Affiliation(s)
- P L van Haelst
- Thorax Centre, Department of Cardiology, University Hospital Groningen, P.O. Box 30001, NL-9700 RB, Groningen, The Netherlands.
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