Back

Epidermal growth factor (EGF) receptor family signalling in cardiomyocyte hypertrophy and heart failure

Fuller, S. J.; Cooper, S. T.; Cull, J. J.; Adamczyk, N.; Tapsell, C.; Pokora, R.; Spilletts, J.; Dash, P. R.; Sugden, P. H.; Clerk, A.

2026-05-19 biochemistry
10.64898/2026.05.16.724529 bioRxiv
Show abstract

The epidermal growth factor receptor (EGFR) family network comprises 4 receptors (EGFR, ERBB2, ERBB3, ERBB4) and numerous ligands, and is dysregulated in many cancers. Since anti-cancer drugs that target these receptors are cardiotoxic for some patients, it is important to understand the network in cardiac cells. Data from the Human Protein Atlas established that EGFR family members and their ligands are differentially expressed in cardiac cell types. Ligand expression was altered in human failing hearts and may contribute to disease. These ligands stimulated extracellular signal-regulated kinases 1/2 (ERK1/2) and Akt in rat cardiomyocytes but to different degrees. Afatinib (at a concentration to inhibit all EGF family receptors) was used to assess the role of the network in a mouse model of cardiac hypertrophy induced by angiotensin II (AngII). Echocardiography and segmental strain analysis demonstrated that afatinib reduced AngII-induced cardiac hypertrophy and caused cardiac dysfunction. This was associated with loss of cardiomyocyte hypertrophy, enhanced cardiac fibrosis, and reduced expression of Nrg1. NRG1 binds to ERBB4 in cardiomyocytes which homodimerizes or heterodimerises with ERBB2. The role of ERBB2 in the cardiomyocyte response to NRG1 compared with EGF was dissected using tucatinib (a selective ERBB2 inhibitor) and mRNA expression profiling. Most, but not necessarily all, of the response to NRG1 required ERBB2 signalling; most, but not all, of the response to EGF did not. Thus, the EGFR family network plays an important role in the heart. Understanding this network may identify therapeutic approaches to avoid cardiotoxicity associated with EGFR family anti-cancer drugs. Clinical perspectivesO_LIAnti-cancer drugs that target the epidermal growth factor receptor (EGFR) family are cardiotoxic for some patients; it is therefore important to understand the network in cardiac cells. C_LIO_LIThe EGFR family and their ligands are differentially expressed in cardiac cells with changes in ligand expression in heart failure; inhibition of all receptors in a mouse model of hypertrophy reduces cardiac hypertrophy and causes cardiac dysfunction with attenuation of cardiomyocyte hypertrophy and enhanced cardiac fibrosis and loss of neuregulin 1 (NRG1); in rat cardiomyocytes, NRG1 signalling to gene expression is largely mediated via ERBB2. C_LIO_LIThe EGFR family network plays an important role in the heart; understanding this network may identify therapeutic approaches to avoid cardiotoxicity associated with anti-cancer drugs targeted against it. C_LI

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Journal of the American Heart Association
119 papers in training set
Top 0.1%
28.9%
2
Journal of Molecular and Cellular Cardiology
39 papers in training set
Top 0.1%
7.1%
3
Circulation Research
39 papers in training set
Top 0.1%
7.1%
4
Frontiers in Physiology
93 papers in training set
Top 0.5%
6.6%
5
JACC: Basic to Translational Science
15 papers in training set
Top 0.1%
6.6%
50% of probability mass above
6
American Journal of Physiology-Heart and Circulatory Physiology
32 papers in training set
Top 0.1%
5.1%
7
Frontiers in Pharmacology
100 papers in training set
Top 0.6%
4.1%
8
PLOS ONE
4510 papers in training set
Top 37%
3.7%
9
The Journal of Pharmacology and Experimental Therapeutics
15 papers in training set
Top 0.1%
3.7%
10
eLife
5422 papers in training set
Top 34%
2.2%
11
Cardiovascular Research
33 papers in training set
Top 0.4%
2.0%
12
Scientific Reports
3102 papers in training set
Top 52%
2.0%
13
The American Journal of Cardiology
15 papers in training set
Top 0.9%
1.8%
14
Disease Models & Mechanisms
119 papers in training set
Top 1%
1.7%
15
Frontiers in Cardiovascular Medicine
49 papers in training set
Top 2%
1.3%
16
Physiological Reports
35 papers in training set
Top 0.7%
1.3%
17
Journal of the American College of Cardiology
12 papers in training set
Top 0.6%
0.8%
18
Circulation: Genomic and Precision Medicine
42 papers in training set
Top 1%
0.8%
19
Journal of the American Society of Nephrology
52 papers in training set
Top 0.5%
0.8%
20
Circulation
66 papers in training set
Top 2%
0.8%
21
Pharmacological Research
15 papers in training set
Top 0.3%
0.8%
22
International Journal of Molecular Sciences
453 papers in training set
Top 15%
0.8%