4.7 Article

Tumour biomarkers: association with heart failure outcomes

Journal

JOURNAL OF INTERNAL MEDICINE
Volume 288, Issue 2, Pages 207-218

Publisher

WILEY
DOI: 10.1111/joim.13053

Keywords

heart failure; neoplasms; biomarkers; tumour; natriuretic peptides

Funding

  1. European Research Council [ERC CoG 818715]
  2. European Commission [FP7-242209-BIOSTAT-CHF]
  3. China Scholarship Council [CSC] [201806170057]
  4. Dutch Heart Foundation [CVON DOSIS] [2014-40]
  5. Dutch Heart Foundation [CVON SHE-PREDICTS-HF] [2017-21]
  6. Dutch Heart Foundation [CVON RED-CVD] [2017-11]
  7. Dutch Heart Foundation [CVON PREDICT2] [2018-30]
  8. Innovational Research Incentives Scheme program of the Netherlands Organization for Scientific Research [NWO VIDI] [917.13.350]
  9. Leducq Foundation [Cure PhosphoLambaN-induced Cardiomyopathy (Cure-PLaN)]

Ask authors/readers for more resources

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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available