Hallmarks of cancer in patients with heart failure: data from BIOSTAT-CHF.

IF 3.2 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Cardio-oncology Pub Date : 2024-08-05 DOI:10.1186/s40959-024-00246-w
P F van den Berg, L I Yousif, G Markousis-Mavrogenis, C Shi, V Bracun, J Tromp, S de Wit, Y Appels, E M Screever, J P Aboumsallem, W Ouwerkerk, D J van Veldhuisen, H H W Silljé, A A Voors, R A de Boer, Wouter C Meijers
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Abstract

Background: Within cardio-oncology, emerging epidemiologic studies have demonstrated a bi-directional relationship between heart failure (HF) and cancer. In the current study, we aimed to further explore this relationship and investigate the underlying pathophysiological pathways that connect these two disease entities.

Methods: We conducted a post-hoc analysis in which we identified 24 Gene Ontology (GO) processes associated with the hallmarks of cancer based on 92 biomarkers in 1960 patients with HF. We performed Spearman's correlations and Cox-regression analyses to evaluate associations with HF biomarkers, severity and all-cause mortality.

Results: Out of a total of 24 GO processes, 9 biological processes were significantly associated with adverse clinical outcome. Positive regulation of mononuclear cell proliferation demonstrated the highest hazard for reaching the clinical endpoint, even after adjusting for confounders: all-cause mortality HR 2.00 (95% CI 1.17-3.42), p = 0.012. In contrast, negative regulation of apoptotic process was consistently associated with a lower hazard of reaching the clinical outcome, even after adjusting for confounders: all-cause mortality HR 0.74 (95% CI 0.59-0.95), p = 0.016. All processes significantly correlated with HF biomarkers, renal function and HF severity.

Conclusions: In patients with HF, GO processes associated with hallmarks of cancer are associated with HF biomarkers, severity and all-cause mortality.

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心力衰竭患者的癌症特征:来自 BIOSTAT-CHF 的数据。
背景:在心脏肿瘤学领域,新出现的流行病学研究表明,心力衰竭(HF)与癌症之间存在双向关系。在本研究中,我们旨在进一步探索这种关系,并研究连接这两种疾病实体的潜在病理生理途径:我们进行了一项事后分析,根据 1960 名心力衰竭患者的 92 个生物标记物,确定了与癌症特征相关的 24 个基因本体(GO)过程。我们进行了斯皮尔曼相关性和 Cox 回归分析,以评估与心房颤动生物标志物、严重程度和全因死亡率之间的关联:结果:在总共 24 个 GO 过程中,有 9 个生物过程与不良临床预后显著相关。单核细胞增殖的正向调节对达到临床终点的风险最高,即使在调整了混杂因素后也是如此:全因死亡率 HR 2.00 (95% CI 1.17-3.42),P = 0.012。相比之下,即使在调整了混杂因素后,凋亡过程的负调控仍与达到临床终点的较低风险相关:全因死亡率 HR 0.74(95% CI 0.59-0.95),p = 0.016。所有过程都与高频生物标志物、肾功能和高频严重程度密切相关:结论:在高血压患者中,与癌症特征相关的 GO 过程与高血压生物标志物、严重程度和全因死亡率有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cardio-oncology
Cardio-oncology Medicine-Cardiology and Cardiovascular Medicine
CiteScore
5.00
自引率
3.00%
发文量
17
审稿时长
7 weeks
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