| Literature DB >> 28493232 |
Shayan Moazeni1,2, Martin Cadeiras3, Eric H Yang3, Mario C Deng3, Kim-Lien Nguyen4,5.
Abstract
Anthracyclines are highly effective against a variety of malignancies. However, their dose-dependent cardiotoxic effects can potentially limit their use. In the past decade, serum biomarkers have been used to diagnose, monitor, predict, and prognosticate disease. Biomarkers such as cardiac troponin and natriuretic peptides have some predictive value, but still lack reliability in this patient population. Novel biomarkers such as galectin-3, soluble ST-2 proteins, myeloperoxidase, and fibrocytes are being explored as potential biomarkers to reliably predict the onset of cardiotoxicity. Leveraging multiomics technology to map highly sensitive biomarkers in an integrated approach through pattern deconvolution may better define those at highest risk of developing cardiotoxicity and further the goal of precision medicine. In this work, we aim to provide a brief overview of traditional serum biomarkers, summarize current investigations on novel circulating biomarkers, and discuss a systems-based approach to anthracycline-induced cardiotoxicity through "omics" technology.Entities:
Keywords: Anthracycline; Biomarkers; Cardiomyopathy; Cardiotoxicity; Heart failure; Omics
Year: 2017 PMID: 28493232 PMCID: PMC5425361 DOI: 10.1186/s40169-017-0148-3
Source DB: PubMed Journal: Clin Transl Med ISSN: 2001-1326
Fig. 1Actions of anthracyclines within the cell. Anthracyclines (ACs) enter the cell, cause mitochondrial damage, and impair transcription in nuclear DNA. 1 In healthy cells, ACs enter the cell’s cytoplasm and has cytotoxic effects. 2 Products from AC-induced ROS (reactive oxygen species) damage mitochondrial DNA leading to mitochondrial dysfunction. 3 ROS-induced generation of oxidized lipid further damages the host‘s cells. 4 AC also inhibits DNA/RNA synthesis by impairing the initiation or elongation phases during DNA synthesis and blocking transcription factor binding or RNA polymerase activity during RNA synthesis. Additionally, intercalation of AC within the DNA can inhibit Topoisomerase II β (TOP2β) by activating the DNA-damage response that leads to cell death. 5 DNA intercalation further impairs normal DNA/RNA synthesis. 6 ACs can function as transcriptional inhibitors and/or modifiers for translational transcripts: (a) miR-146a is a negative regulator for epithelial growth factor receptor 4 (ErbB4) and is upregulated shortly after AC exposure. (b) Both miR-30 and miR-34a are direct regulators for cell apoptosis and are downregulated shortly after AC treatment in humans and mice. As a result of cardiac injury, troponins and BNP are upregulated due to cardiomyocyte injury and increased circulating levels are detected. Upregulation can result from activation of pro-apoptotic/anti-proliferative pathways that could ultimately lead to cardiac dysfunction if not treated
Clinical studies investigating the role of cardiac troponins and pro-brain natriuretic peptide in anthracycline-induced cardiotoxicity
| Refs. | Author | Cancer type | N | Age (year) | AC analog | AC dose (mg/m2) | Time interval | Cardiac troponins | Pro-BNP |
|---|---|---|---|---|---|---|---|---|---|
| [ | Ky (2014) | Breast cancer | 78 | 50 | Doxorubicin | 60 | 0, 3, 6, 15 m | SE | NSE |
| [ | Sawaya (2012) | Breast cancer | 81 | 50 ± 10 | Doxorubicin Epirubicin | 240 | 0, 3, 6, 15 m | SE | NSE |
| [ | Broeyer (2008) | Various malignancies | 26 | 46 ± 15 | Doxorubicin | 520 | 0, 4, 24 h | NSE | SE |
| [ | Armenian (2014) | Hematologic malignancies | 100 (HR) | 26.6 | Variable AC | <300 | >10 year | NSE | SE |
| [ | Cardinale (2004) | Various malignancies | 703 | 47 ± 12 | High dose chemotherapy | – | 1, 3, 6, 9, 12 m | SE | – |
| [ | Dodos (2008) | Hematologic malignancies | 100 | 70 | Doxorubicin | >300 | 24 h, 12 m | NSE | NSE |
| [ | Feola (2009) | Breast cancer | 53 | 55.3 | Doxorubicin | 60 | 0, 1, 2, 3 m | Significant elevation after 1 month followed by steady non-significant decrease (TnI) | SE |
| [ | Romano (2011) | Breast cancer | 71 | 18–75 | Doxorubicin Epirubicin | 300 | Day 1-6, 3, 6, 12 m | NSE | SE |
| [ | Harake (2012) | Hematologic malignancies | 100 | >18 | Doxorubicin | 300 | 0 and 3 m | SE | SE |
| [ | Putt (2015) | Breast cancer | 78 | <18 | Doxorubicin | 0, 3, 6, 15 m | SE | NSE | |
| [ | Oliveira-Carvalho (2015) | Breast cancer | 59 | – | Doxorubicin | 60 | 0, 3, 6, 9, 12 m | SE | – |
AC anthracyclines, m month, LOE level of evidence, NSE No Significant Elevation of Serum Biomarker and Association with Cardiotoxicity, SE Significant Elevation of Serum Biomarker and Association with Cardiotoxicity, y years, HR high risk, LR low risk
Studies investigating novel biomarkers for anthracycline-induced cardiotoxicity
| Refs. | Author | Cancer type | N | Model | Age (year) | AC analog | AC dosage | Interval time | Galectin-3 | sST2 | MPO | miRNA |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| [ | Ky (2014) | Breast cancer | 78 | Human | 50 | Doxorubicin | 60 mg/m2 | 0, 3, 6, 15 m | NSEa | – | SEa | – |
| [ | Sawaya (2012) | Breast cancer | 81 | Human | 50 ± 10 | Doxorubicin | 240 mg/m2
| 0, 3, 6, 15 m | – | NSEb | – | – |
| [ | Armenian (2014) | Hematologic malignancies | 100 (HR) | Human | 13.1 | Variable AC | <300 mg/m2
| >10 year | NSE | NSE | – | – |
| [ | Feola (2009) | Breast cancer | 53 | Human | 55.3 | Doxorubicin | 60 mg/m2 | 0, 1, 2, 3 m | NSE | NSE | – | – |
| [ | Putt (2015) | Breast cancer | 78 | Human | 48 | Doxorubicin | 78 mg/m2 | 0, 3, 6, 15 m | NSE | – | SE | – |
| [ | Oliveira-Carvalho (2015) | Breast cancer | 59 | Human | >18 | Doxorubicin | 60 mg/m2 | 0, 3, 6, 9, 12 m | – | – | – | NSE |
| [ | Horie (2010) | – | 8 | Mice | >18 | Doxorubicin | 20 mg/kg | 0, 6, 12, 24 h | – | – | – | SE |
| [ | Desai (2014) | – | 12 | Mice | >18 | Doxorubicin | 3–24 mg/kg | 2, 3, 4, 6 weeks | – | – | – | SE |
| [ | Roca-Alonso (2015) | Breast cancer | 5 | Mice | Adult | Doxorubicin | 15 mg/kg | 0, 5 weeks | – | – | – | SE |
AC anthracyclines, h hours, m month, MPO myeloperoxidase, NSE No Significant Elevation of Serum Biomarker and Association with Cardiotoxicity, SE Significant Elevation of Serum Biomarker and Association with Cardiotoxicity, sST-2 soluble ST-2, y years, HR high risk, LR low risk
aBaseline measurement of biomarker is above normal
bIncreased predictability detected when analyzed with cTnI
Fig. 2A systems-based approach to understanding anthracycline-induced cardiotoxicity may consist of leveraging –omics technology to identify genomic transcripts (transcriptomics), proteins and protein modifications (proteomics), and metabolites (metabolomics) during acute treatment. Immune-omics may also be leveraged to study the role of immune interactions, which may alter cardiotoxic response. This panoply of data can be coupled with periodic longer-term imaging (based on exposure risk) to further identify those at the greatest risk of developing cardiac dysfunction