Next Article in Journal
Iris germanica L. Rhizome-Derived Exosomes Ameliorated Dihydrotestosterone-Damaged Human Follicle Dermal Papilla Cells Through the Activation of Wnt/β-Catenin Pathway
Previous Article in Journal
Fine-Tuning Homology-Directed Repair (HDR) for Precision Genome Editing: Current Strategies and Future Directions
Previous Article in Special Issue
Lymphocyte Involvement in the Pathology of Pulmonary Arterial Hypertension
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Interleukin-6 in Anthracycline-Related Cardiac Dysfunction: A Comparison with Myeloperoxidase and TNF-Alpha

1
Non-Commercial Clinical Research Outpatient Clinic, Maria Sklodowska-Curie National Research Institute of Oncology, 02-781 Warsaw, Poland
2
Department of Cancer & Cardio-Oncology Diagnostics, Maria Sklodowska-Curie National Research Institute of Oncology, 02-781 Warsaw, Poland
3
Digital Medicine Center, Maria Sklodowska-Curie National Research Institute of Oncology, 02-781 Warsaw, Poland
4
Unit for Screening Studies in Inherited Cardiovascular Diseases, The Cardinal Stefan Wyszynski National Institute of Cardiology, 04-628 Warsaw, Poland
5
Cancer Biomarker and Cytokines Laboratory Unit, Maria Sklodowska-Curie National Research Institute of Oncology, 02-781 Warsaw, Poland
6
Department of Radiology I, Maria Sklodowska-Curie National Research Institute of Oncology, 02-781 Warsaw, Poland
7
Department of Soft Tissue, Bone Sarcoma and Melanoma, Maria Sklodowska-Curie National Research Institute of Oncology, 02-781 Warsaw, Poland
8
Department of Lymphoid Malignancies, Maria Sklodowska-Curie National Research Institute of Oncology, 02-781 Warsaw, Poland
9
Department of Brest Cancer and Reconstructive Surgery, Maria Sklodowska-Curie National Research Institute of Oncology, 02-781 Warsaw, Poland
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2025, 26(9), 4071; https://doi.org/10.3390/ijms26094071
Submission received: 17 March 2025 / Revised: 16 April 2025 / Accepted: 23 April 2025 / Published: 25 April 2025
(This article belongs to the Special Issue Heart Failure Risk Factors and Therapies on a Molecular Basis)

Abstract

Interleukin-6, myeloperoxidase, and tumor necrosis factor alpha are proinflammatory cytokines that play a role both in cardiovascular and oncological diseases. The study aimed to prospectively investigate the clinical value of interleukin-6, myeloperoxidase, and tumor necrosis factor alpha as potential biomarkers of cancer therapy-related cardiac dysfunction (CTRCD) in patients receiving anthracycline treatment. A total of 80 patients were included, with 77 (96.25%) followed for an average for 11.5 months. The mean age at baseline was 60.5 years, and 72 (93.51%) were women. Clinical risk factors were documented for all patients, and laboratory assessments, including measurements of IL-6, MPO, and TNF-α, were conducted. All participants also underwent echocardiography with assessment of global longitudinal strain (GLS). In the study group, coronary CT angiography with coronary artery calcium (CAC) score calculation was performed once at the beginning of the study. During observation, any degree of CTRCD was diagnosed in 48 (62.4%) patients. Mild CTRCD occurred in 38 (49.4%) patients, moderate CTRCD was diagnosed in 7 (9.1%), and severe in 3 (3.9%). In patients with high baseline risk, IL-6 levels were significantly elevated compared to those with moderate risk (p = 0.018). Higher levels of IL-6 were found to correlate with an increased grade of CTRCD. In a multivariate repeated measures model of the biomarkers studied, only a higher level of IL-6 was significantly associated with the diagnosis of CTRCD. Among the novel biomarkers studied, we found evidence for IL-6 for its potential use in the detection of cardiac dysfunction related to cancer therapy in patients treated with anthracyclines.

1. Introduction

Oncological treatment, including chemotherapy and radiotherapy, accelerates inflammatory degenerative processes, leading to the development of atherosclerosis and other cardiovascular complications [1,2,3,4,5]. In current cardio-oncological guidelines, cardiac biomarkers such as cardiac troponins (cTn) and natriuretic peptides (BNP, brain natriuretic peptide, and NT-proBNP, N-terminal pro-B-type natriuretic peptide) are recommended to monitor cardiac function during cancer treatment and diagnose cancer therapy-related cardiac dysfunction (CTRCD) [3]. However, their clinical utility remains debated. Since chronic inflammation can accelerate cardiovascular damage and promote fibrosis, atherosclerosis, adverse cardiac remodeling, and finally left ventricular dysfunction, it is reasonable to look for novel biomarkers that are involved in inflammatory and atherosclerotic pathways, which could be used to detect cardiotoxicity before it becomes irreversible. Interleukin-6 (IL-6) is a pro-inflammatory cytokine that plays an important role in the immune response and is considered an important inflammatory marker in the process of atherosclerosis [6,7]. Myeloperoxidase (MPO) is an enzyme secreted by leukocytes that is a marker of oxidative stress with proatherogenic and pro-oxidant properties, that was found elevated in chronic heart failure [8]. In some studies, IL-6 and MPO levels were elevated in response to chemotherapy-induced damage and were considered a marker of early left ventricular dysfunction [9]. Tumor necrosis factor alpha (TNF-α) is a pro-inflammatory cytokine that plays a key role in responses to inflammation and injury. It may contribute to vascular dysfunction, the development and progression of atherosclerosis, and adverse cardiac remodeling after myocardial infarction and heart failure [10].
The aim of this substudy of the ANTEC trial was to prospectively investigate the clinical value of IL-6, MPO, and TNF-alpha as potential biomarkers of CTRCD in patients receiving anthracycline treatment.

2. Results

2.1. Baseline Characteristics

A total of 80 patients were initially enrolled, with 77 (96.25%) completing the study. The mean follow-up duration was 11.5 months. The mean age at baseline was 60.5 years, with a majority of participants being women (72 patients, 93.51%). The most common cancer diagnoses were breast cancer (59 patients, 76.6%), followed by sarcoma (11 patients, 14.3%), and lymphoma (7 patients, 9.1%). The study population included patients without a prior diagnosis of heart failure or coronary artery disease. None of the patients had received chemotherapy before enrollment. According to the HFA-ICOS risk stratification for cancer therapy-related cardiovascular toxicity, 37 patients (48.1%) were classified as high-risk, while 40 patients (51.9%) were categorized as moderate-risk (Table 1).

2.2. Cardiovascular Outcomes

During observation, any degree of CTRCD was diagnosed in 48 (62.4%) patients. Mild CTRCD occurred in 38 (49.4%, 95% CI 38.2–60.5%) patients; moderate CTRCD was diagnosed in 7 (9.1%, 95% CI 4.3–18.0%); and severe in 3 (3.9%, 95% CI 1.2–11.6%). Additionally, 5 patients (6.49%) died during follow-up, with two deaths attributed to heart failure and three due to cancer progression. Of the 48 cases of CTRCD, 43 (93.8%) were diagnosed within the first 6 months of follow-up.

2.3. Association Between Novel Biomarkers and CAC Score or Coronary Artery Disease

There were no significant correlations between any of the biomarkers studied and the CAC score or the prevalence of coronary artery disease at baseline (visit 1), although a non-significant tendency for higher TNF-α level in individuals with coronary artery disease was observed, Figure 1.

2.4. Correlation Between Biomarkers at Subsequent Visits

At visit 1 (baseline, prior to anthracycline treatment), a significant weak to moderate correlation was observed between IL-6 and both TNF-α and MPO, with Spearman correlation coefficients (ρ) of 0.28 and 0.43, respectively. However, no significant correlation was found between TNF-α and MPO levels. At baseline, IL-6 and TNF-α levels also correlated with Troponin T and NT-proBNP levels. Notably, the significant correlations between IL-6 and both NT-proBNP and Troponin T were maintained throughout the follow-up period (Figure 2 and Figure 3).
Measurements of TNF-alfa and MPO during treatment (visits 3 and 5) did not show correlation with other biomarkers. Figure 3 presents the distribution of IL-6 levels across study visits and illustrates their association with Troponin T and NT-proBNP concentrations. Biomarker values throughout the observation visits are presented in Table 2.

2.5. Association Between Novel Biomarkers and CTRCD

In patients with high baseline risk, IL-6 levels were significantly elevated compared to those with moderate risk (9.43 vs. 4.62 pg/mL, p = 0.018). Differences in baseline values of TNF and MPO between HR and MR groups were not significant (Table 2). During the anthracycline treatment, higher maximal levels of IL-6 were found to correlate with incidence of CTRCD (Figure 4). In a multivariate repeated measures model of the biomarkers studied, only a higher level of IL-6 was significantly associated with the diagnosis of CTRCD (Table 3).
The model fit indicates significant panel-level variance component (ρ = 0.94, p-value = 0.0112).

3. Discussion

This is the first study to prospectively evaluate the clinical value of novel biomarkers (IL-6, MPO, TNF-alpha) in cancer patients as potential biomarkers of cancer therapy-related cardiac dysfunction, defined according to current ESC cardio-oncology guidelines. Among the biomarkers studied, we found evidence only for IL-6 for its potential use in the detection of cardiac dysfunction related to cancer therapy in patients treated with anthracyclines.
In the study by Lakhani et al. in breast cancer patients, MPO levels were significantly elevated 3 and 6 months after the initiation of anthracyclines compared to the control. Furthermore, their results also showed significantly higher levels of IL-6 at 6 months compared to the control and baseline. Moreover, high cardiac troponin T was significantly correlated with MPO and IL-6 [11]. In our study, a significant increase in IL-6 levels was observed at 6 months, whereas MPO and TNF-alpha did not show any significant changes during observation. In another study, serum levels of IL-6 increased significantly in the placebo arm compared to baseline, but remained unchanged in the telmisartan arm in epirubicin-treated oncological patients [12]. There were several studies that sought novel biomarkers in cardiotoxicity. Unfortunately, pro-inflammatory cytokines, such as IL-6 and TNF-alpha, were rarely involved in these studies, contrary to MPO, which was studied more frequently and in most studies was considered an important novel biomarker. In the multiple biomarker study (TnI, CRP, GDF-15, MPO, PlGF, and sFlt-1) by Ky et al., only early increases in TnI and MPO levels were associated with subsequent cardiotoxicity in patients with breast cancer treated with doxorubicin, taxanes, and trastuzumab. Additionally, the combination of these two biomarkers provided additive information on the risk of developing cardiotoxicity [13]. In the study by Putt et al., among the biomarkers studied (hs-cTnI, hsCRP, NT-proBNP, GDF-15, MPO, PlGF, sFlt-1, gal-3) only an increase in MPO were associated with cardiotoxicity throughout the course of doxorubicin and trastuzumab therapy [14]. In contrast, in our study, where patients were treated with doxorubicin but not trastuzumab, no increase in MPO was observed during the observation. In another study of multiple biomarkers by Todorowa et al., plasma samples for biomarkers of inflammation, hypercoagulability, and endothelial dysfunction—including C-reactive protein (CRP), thrombomodulin (TM), thrombin-antithrombin complex (TAT), MPO, von Willebrand factor (vWF), and P-selectin—were examined. During observation, patients with abnormal decrease in left ventricle ejection fraction (LVEF) >10% had significantly elevated levels of MPO and TM both at baseline and after the first dose of chemotherapy based on doxorubicine compared to patients with normal LVEF after adjustment for race, age, BMI, and biological subtype of breast cancer [9]. In the study by Demissei et al., repeated measures of high-sensitivity cardiac troponin T (hscTnT), NT proBNP (N-terminal proB-type natriuretic peptide), myeloperoxidase, placental growth factor, and growth differentiation factor 15 were evaluated in a cohort of 323 patients treated with anthracyclines and/or trastuzumab. Among the newer biomarkers, increases in MPO were associated with an increased risk of cardiac dysfunction in anthracycline-based treatment groups [15]. In the meta-analysis by Wu et al., MPO levels were not only associated with an increased risk of cardiotoxicity, but were also a more effective indicator of response to cancer treatment compared to levels of TnI and NT-proBNP [16]. The opposite was found in our study: there was no significant correlation between MPO and CTRCD development. Unlike our observations, in the Camilli et al. study, no correlation was observed between changes in LVEF or GLS and IL6 in oncological patients. However, their population was treated with CAR-T cell therapy, and our population was treated with anthracyclines [17].

Strengths and Limitations

A major strength of this study is the prospective design and comprehensive evaluation of biomarkers alongside echocardiographic and clinical data. However, certain limitations must be acknowledged. The population included a small cohort from a single cancer center, and the small sample size may have limited the power of this study. Furthermore, the study population consisted almost exclusively of women, since most of the patients had breast cancer. Therefore, the results cannot be extrapolated to the general population.

4. Materials and Methods

4.1. Study Structure

The ANTEC study is a single center prospective observational trial that, as an exploratory objective, evaluates the association of IL-6, MPO, and TNF-alpha with the risk and diagnosis of CTRCD related to chemotherapy based on anthracycline. The trial was carried out according to the principles of the Declaration of Helsinki and the guidelines of the International Conference on Harmonization Good Clinical Practice. The conduct of the study was approved by an independent Ethics Committee at the Maria Sklodowska-Curie National Research Institute of Oncology in Warsaw (date of approval: 28 October 2021, approval no. 80/2021), and all participants gave their informed written consent before entering the study. The registration identifier on clinicaltrials.gov is NCT05118178. The study included 80 cancer patients, diagnosed and qualified for systemic treatment with anthracycline chemotherapy at the Maria Sklodowska-Curie National Research Institute of Oncology in Warsaw. The study protocol with inclusion and exclusion criteria, schedule visits, and procedures was previously published [18]. None of the patients had previously received any type of chemotherapy or radiotherapy. None of the patients had been diagnosed with coronary artery disease or heart failure at baseline.

4.2. Patients Classification, CCTA, and Echocardiography

The study investigators collected clinical variables based on the medical documentation provided by the patient and medical anamnesis. In all patients, coronary CT angiography (CCTA) was performed once at the beginning of the study. Coronary artery calcium (CAC) score was calculated according to the Agatston method. The area of calcified atherosclerosis was multiplied by a density weighting factor for each slice and summed across the entire coronary arterial tree. Contrast coronary CTA was performed using a 64-slice multidetector CT scanner (Revolution Evo, GE Healthcare, Waukesha, WI, USA) with prospective ECG triggering. Scans were performed in accordance with the Society of Cardiovascular Computed Tomography guidelines in order to achieve high image quality with the lowest possible patient radiation and contrast dose. The presence, extent and severity of coronary artery stenosis was defined as minimal (<25%), mild (25 to 49%), moderate (50 to 69%), severe (70 to 99%), and occluded (100%), according to the guidelines [19]. Transthoracic echocardiography was performed using a Philips EPIQ Elite instrument (Philips Healthcare, Andover, MA, USA). The following echocardiographic parameters were evaluated: ventricular diameters, diastolic and systolic functions, and two-dimensional left ventricular peak systolic global longitudinal strain (GLS), which was analyzed using a semiautomated speckle tracking imaging technique from the three standard apical views. Analyses were performed by a board certified physician who was blinded to all clinical characteristics. Blood samples were collected and analyzed by the central laboratory (The Maria Sklodowska-Curie National Research Institute of Oncology). Laboratory tests included, among others, creatinine, glucose, complete blood count, glycated hemoglobin, lipid profile, plasma levels of troponin T (TnT), and N-terminal pro-B-type natriuretic peptide (NT-proBNP).

4.3. Blood Samples for IL-6, MPO, and TNF-Alpha

Blood was collected from patients at baseline (visit 1), six months (visit 3), and 12 months (visit 5) and then centrifuged at 2600 rpm at 15 min. After centrifugation, serum samples were obtained and stored in low temperature freezers (−80 °C) in aliquots until analysis time. IL-6, MPO, and TNF-alpha concentrations were measured by means of ELISA kits (R&D Systems, Bio-Techne, Minneapolis, MN, USA). This assay works according to the principle of the quantitative sandwich enzyme immunoassay technique. The concentrations of the parameters were determined by measuring optical density on a spectrophotometer, at a wavelength of 450 nm. The sensitivity of the assays was: IL-6: 0.368 pg/mL, MPO: 0.014 ng/mL, and TNF-alpha: 4.0 pg/mL.

4.4. Data Acquisition and Statistical Analysis

4.4.1. Data Acquisition and Quality Control

All measurements were performed according to routine diagnostic standards. Critical measurements (CCTA, echocardiography, biomarkers) were reviewed and coded by a trained member of the study team to ensure the comparability of the results. Clinical data were captured by manual entry into electronic case report forms (eCRF) and laboratory data extracted from the Hospital Information System (HIS). The data were validated by the clinical team to eliminate inconsistent, missing, and outlying values.

4.4.2. Sample Size Calculations and Statistical Analysis

The sample size was calculated based on the primary objective of the ANTEC study, which is the hypothesis that the incidence of CTRCD will increase twofold, from 30–40%, in the presence of coronary artery stenosis, the prevalence of which was estimated at 30–40% of the patient population [11]. Therefore, the current biomarker analysis remains exploratory. To explore the correlation between examined parameters and already established biomarkers, we calculated the Spearman correlation at baseline as well as the correlations during treatment using data from Visits 3 and 5 and repeated measures of correlation coefficients. To understand the potential role of biomarkers as predictors of CTRCD, we analyzed the level of biomarkers at Visit 1 (before treatment). In addition, we investigated the association of the level of biomarkers measured at the same time as the status of CTRCD was evaluated using multivariable random effect logistic regression with CTRCD status (yes/no) as the outcome variable. Data after the diagnosis of CTRCD were excluded due to possible effect of the toxicity management on the measurements. Fractional polynomial models were used for finding the best fitting transformations of these predictors, however yielding no improvement over linear fit. Significant results are reported at the alfa = 0.05 level. Statistical analysis was performed in Stata/SE 17.0 (StataCorp LCC, College Station, TX, USA).

5. Conclusions

Among the novel biomarkers studied, we found evidence for IL-6 for its potential use in the detection of cardiac dysfunction related to cancer therapy in patients treated with anthracyclines. In addition to its clinical application in cardiotoxicity, the findings suggest the potential of anti-IL-6 therapeutics to effectively target both cardiovascular and oncological diseases. Furthermore, adopting a multibiomarker approach may enhance the sensitivity of predicting the risk of cardiac dysfunction in patients undergoing anthracycline therapy.

Author Contributions

Conceptualization, A.B. and M.R.; methodology, A.B. and M.R.; software, M.R.; validation, J.W. (Jan Walewski) and B.K.; formal analysis, M.R.; investigation, A.B., P.O. and A.M.Z.; resources, J.W. (Joanna Walewska), A.M., H.K.-P., E.L., K.P. and Z.N.; data curation, A.B., P.O. and A.M.Z.; writing—original draft preparation, A.B., M.R. and J.W. (Jan Walewski); writing—review and editing, A.B. and M.R.; visualization, M.R.; supervision, Z.N. and J.W. (Jan Walewski); project administration, S.J.; funding acquisition, A.B. All authors have read and agreed to the published version of the manuscript.

Funding

This study is supported by a research grant from the Polish Cardiac Society in cooperation with Servier (no 80/2021). MR was funded by the Polish Medical Research Agency (grant no. 2023/ABM/02/00011). The funding body has no influence on the design of the study, collection, analysis, interpretation of data, or writing of the manuscript.

Institutional Review Board Statement

The conduct of the study was approved by an independent Ethics Committee at the Maria Sklodowska-Curie National Research Institute of Oncology in Warsaw (date of approval: 28 October 2021, approval no. 80/2021).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Abbreviations

CTRCDcancer therapy-related cardiac dysfunction
CTR-CVTcancer therapy-related cardiovascular toxicity
HFA-ICOSHeart Failure Association-International Cardio-Oncology Society
CCTACoronary computed tomography angiography
CAC scorecoronary artery calcium score
GLSleft ventricular peak systolic global longitudinal strain
hs-cTnThigh-sensitivity cardiac troponin T
NT-proBNPN-terminal pro-B-type natriuretic peptide
eCRFelectronic case report forms
HISHospital Information System
LVEFleft ventricle ejection fraction
CVDcardiovascular disease
IL-6interleukin-6
MPOmyeloperoxidase
TNF-αtumor necrosis factor alpha

References

  1. Mukai, M.; Komori, K.; Oka, T. Mechanism and Management of Cancer Chemotherapy-Induced Atherosclerosis. J. Atheroscler. Thromb. 2018, 25, 994–1002. [Google Scholar] [CrossRef] [PubMed]
  2. Hooks, M.; Sandhu, G.; Maganti, T.; Chen, K.A.; Wang, M.; Cullen, R.; Velangi, P.S.; Gu, C.; Wiederin, J.; Connett, J.; et al. Incidental coronary calcium in cancer patients treated with anthracycline and/or trastuzumab. Eur. J. Prev. Cardiol. 2022, 29, 2200–2210. [Google Scholar] [CrossRef] [PubMed]
  3. Lyon, A.R.; Lopez-Fernandez, T.; Couch, L.S.; Asteggiano, R.; Aznar, M.C.; Bergler-Klein, J.; Boriani, G.; Cardinale, D.; Cordoba, R.; Cosyns, B.; et al. 2022 ESC Guidelines on cardio-oncology developed in collaboration with the European Hematology Association (EHA), the European Society for Therapeutic Radiology and Oncology (ESTRO) and the International Cardio-Oncology Society (IC-OS). Eur. Heart J. Cardiovasc. Imaging 2022, 23, e333–e465. [Google Scholar] [CrossRef] [PubMed]
  4. Patel, S.; Franco, F.X.; McDonald, M.; Rivera, C.; Perez-Villa, B.; Collier, P.; Moudgil, R.; Gupta, N.; Sadler, D.B. Use of computed tomography coronary calcium score for prediction of cardiovascular events in cancer patients: A retrospective cohort analysis. Cardiooncology 2024, 10, 1. [Google Scholar] [CrossRef] [PubMed]
  5. Peng, A.W.; Dudum, R.; Jain, S.S.; Maron, D.J.; Patel, B.N.; Khandwala, N.; Eng, D.; Chaudhari, A.S.; Sandhu, A.T.; Rodriguez, F. Association of Coronary Artery Calcium Detected by Routine Ungated CT Imaging with Cardiovascular Outcomes. J. Am. Coll. Cardiol. 2023, 82, 1192–1202. [Google Scholar] [CrossRef] [PubMed]
  6. Hartman, J.; Frishman, W.H. Inflammation and atherosclerosis: A review of the role of interleukin-6 in the development of atherosclerosis and the potential for targeted drug therapy. Cardiol. Rev. 2014, 22, 147–151. [Google Scholar] [CrossRef] [PubMed]
  7. Ridker, P.M.; Luscher, T.F. Anti-inflammatory therapies for cardiovascular disease. Eur. Heart J. 2014, 35, 1782–1791. [Google Scholar] [CrossRef] [PubMed]
  8. Tang, W.H.; Tong, W.; Troughton, R.W.; Martin, M.G.; Shrestha, K.; Borowski, A.; Jasper, S.; Hazen, S.L.; Klein, A.L. Prognostic value and echocardiographic determinants of plasma myeloperoxidase levels in chronic heart failure. J. Am. Coll. Cardiol. 2007, 49, 2364–2370. [Google Scholar] [CrossRef] [PubMed]
  9. Todorova, V.K.; Hsu, P.C.; Wei, J.Y.; Lopez-Candales, A.; Chen, J.Z.; Su, L.J.; Makhoul, I. Biomarkers of inflammation, hypercoagulability and endothelial injury predict early asymptomatic doxorubicin-induced cardiotoxicity in breast cancer patients. Am. J. Cancer Res. 2020, 10, 2933–2945. [Google Scholar] [PubMed]
  10. Cicha, I.; Urschel, K. TNF-α in the cardiovascular system: From physiology to therapy. Int. J. Interferon Cytokine Mediat. Res. 2015, 9, 9–25. [Google Scholar] [CrossRef]
  11. Lakhani, H.V.; Pillai, S.S.; Zehra, M.; Dao, B.; Tirona, M.T.; Thompson, E.; Sodhi, K. Detecting early onset of anthracyclines-induced cardiotoxicity using a novel panel of biomarkers in West-Virginian population with breast cancer. Sci. Rep. 2021, 11, 7954. [Google Scholar] [CrossRef] [PubMed]
  12. Dessì, M.; Piras, A.; Madeddu, C.; Cadeddu, C.; Deidda, M.; Massa, E.; Antoni, G.; Mantovani, G.; Mercuro, G. Long-term protective effects of the angiotensin receptor blocker telmisartan on epirubicin-induced inflammation, oxidative stress and myocardial dysfunction. Exp. Ther. Med. 2011, 2, 1003–1009. [Google Scholar] [CrossRef] [PubMed]
  13. Ky, B.; Putt, M.; Sawaya, H.; French, B.; Januzzi, J.L., Jr.; Sebag, I.A.; Plana, J.C.; Cohen, V.; Banchs, J.; Carver, J.R.; et al. Early increases in multiple biomarkers predict subsequent cardiotoxicity in patients with breast cancer treated with doxorubicin, taxanes, and trastuzumab. J. Am. Coll. Cardiol. 2014, 63, 809–816. [Google Scholar] [CrossRef] [PubMed]
  14. Putt, M.; Hahn, V.S.; Januzzi, J.L.; Sawaya, H.; Sebag, I.A.; Plana, J.C.; Picard, M.H.; Carver, J.R.; Halpern, E.F.; Kuter, I.; et al. Longitudinal Changes in Multiple Biomarkers Are Associated with Cardiotoxicity in Breast Cancer Patients Treated with Doxorubicin, Taxanes, and Trastuzumab. Clin. Chem. 2015, 61, 1164–1172. [Google Scholar] [CrossRef] [PubMed]
  15. Demissei, B.G.; Hubbard, R.A.; Zhang, L.; Smith, A.M.; Sheline, K.; McDonald, C.; Narayan, V.; Domchek, S.M.; DeMichele, A.; Shah, P.; et al. Changes in Cardiovascular Biomarkers with Breast Cancer Therapy and Associations with Cardiac Dysfunction. J. Am. Heart Assoc. 2020, 9, e014708. [Google Scholar] [CrossRef] [PubMed]
  16. Wu, Y.; Gao, D.; Xue, J.; Zuo, Z. Galectin-3 and Myeloperoxidase May Monitor Cancer-Therapy-Related Cardiotoxicity? A Systematic Review and Meta-Analysis. Biomolecules 2022, 12, 1788. [Google Scholar] [CrossRef] [PubMed]
  17. Camilli, M.; Viscovo, M.; Felici, T.; Maggio, L.; Ballacci, F.; Carella, G.; Bonanni, A.; Lamendola, P.; Tinti, L.; Di Renzo, A.; et al. Inflammation and acute cardiotoxicity in adult hematological patients treated with CAR-T cells: Results from a pilot proof-of-concept study. Cardio-Oncology 2024, 10, 18. [Google Scholar] [CrossRef] [PubMed]
  18. Borowiec, A.; Ozdowska, P.; Rosinska, M.; Jagiello-Gruszfeld, A.; Jasek, S.; Waniewska, J.; Kotowicz, B.; Kosela-Paterczyk, H.; Lampka, E.; Makowka, A.; et al. Prognostic value of coronary atherosclerosis and CAC score for the risk of chemotherapy-related cardiac dysfunction (CTRCD): The protocol of ANTEC study. PLoS ONE 2023, 18, e0288146. [Google Scholar] [CrossRef] [PubMed]
  19. Edvardsen, T.; Asch, F.M.; Davidson, B.; Delgado, V.; DeMaria, A.; Dilsizian, V.; Gaemperli, O.; Garcia, M.J.; Kamp, O.; Lee, D.C.; et al. Non-Invasive Imaging in Coronary Syndromes: Recommendations of The European Association of Cardiovascular Imaging and the American Society of Echocardiography, in Collaboration with The American Society of Nuclear Cardiology, Society of Cardiovascular Computed Tomography, and Society for Cardiovascular Magnetic Resonance. J. Cardiovasc. Comput. Tomogr. 2022, 16, 362–383. [Google Scholar] [PubMed]
Figure 1. Baseline levels of TNFα, IL-6, and MPO in relation to the presence of coronary artery stenosis. Box plots illustrate the distribution of biomarkers—TNFα (left), IL-6 (middle), and MPO (right)—at baseline, stratified by the presence (red) or absence (blue) of coronary artery stenosis. The boxes represent interquartile interval with median marked as horizontal line. Whiskers and dots show, respectively, adjacent and outlying values.
Figure 1. Baseline levels of TNFα, IL-6, and MPO in relation to the presence of coronary artery stenosis. Box plots illustrate the distribution of biomarkers—TNFα (left), IL-6 (middle), and MPO (right)—at baseline, stratified by the presence (red) or absence (blue) of coronary artery stenosis. The boxes represent interquartile interval with median marked as horizontal line. Whiskers and dots show, respectively, adjacent and outlying values.
Ijms 26 04071 g001
Figure 2. Correlation between novel biomarkers measured at baseline (Visit 1) and follow-up visits (Visit 3 and 5). This figure presents pairwise correlation coefficients; color scale is used from red to indicate perfect positive correlation (coefficient of 1), through white indicating no correlation (coefficient 0), and blue—perfect negative correlation (coefficient −1). Statistically significant coefficients (p < 0.05) are indicated with an asterisk.
Figure 2. Correlation between novel biomarkers measured at baseline (Visit 1) and follow-up visits (Visit 3 and 5). This figure presents pairwise correlation coefficients; color scale is used from red to indicate perfect positive correlation (coefficient of 1), through white indicating no correlation (coefficient 0), and blue—perfect negative correlation (coefficient −1). Statistically significant coefficients (p < 0.05) are indicated with an asterisk.
Ijms 26 04071 g002
Figure 3. Distribution of IL-6 across study visits and its association with Troponin T and NT-proBNP. Box plots depict IL-6 concentrations (pg/mL) at three study visits (Visit 1, Visit 3, and Visit 5), stratified by levels of Troponin T (≤14 ng/L [normal] vs. >14 ng/L [elevated], left panel) and NT-proBNP (≤125 pg/L [normal] vs. >125 pg/L [elevated], right panel). The boxes represent interquartile interval with median marked as horizontal line. Whiskers and dots show, respectively, adjacent and outlying values.
Figure 3. Distribution of IL-6 across study visits and its association with Troponin T and NT-proBNP. Box plots depict IL-6 concentrations (pg/mL) at three study visits (Visit 1, Visit 3, and Visit 5), stratified by levels of Troponin T (≤14 ng/L [normal] vs. >14 ng/L [elevated], left panel) and NT-proBNP (≤125 pg/L [normal] vs. >125 pg/L [elevated], right panel). The boxes represent interquartile interval with median marked as horizontal line. Whiskers and dots show, respectively, adjacent and outlying values.
Ijms 26 04071 g003
Figure 4. Association between IL-6 levels and the severity of cancer therapy-related cardiac dysfunction (CTRCD). Box plots display the natural logarithm of maximum during the follow-up IL-6 concentrations across increasing degrees of cardiac dysfunction severity (No, Mild, Moderate, Severe). Higher maximum IL-6 levels were observed in patients with more advanced CTRCD, suggesting a potential link between systemic inflammation and cardiotoxicity severity. The boxes represent interquartile interval with median marked as horizontal line. Whiskers show, adjacent and outlying values.
Figure 4. Association between IL-6 levels and the severity of cancer therapy-related cardiac dysfunction (CTRCD). Box plots display the natural logarithm of maximum during the follow-up IL-6 concentrations across increasing degrees of cardiac dysfunction severity (No, Mild, Moderate, Severe). Higher maximum IL-6 levels were observed in patients with more advanced CTRCD, suggesting a potential link between systemic inflammation and cardiotoxicity severity. The boxes represent interquartile interval with median marked as horizontal line. Whiskers show, adjacent and outlying values.
Ijms 26 04071 g004
Table 1. Baseline characteristics of the study group (N = 77).
Table 1. Baseline characteristics of the study group (N = 77).
Patients CharacteristicsValue
Sex, n (%)Male: 5 (6.5%)
Female: 72 (93.5%)
Age group, n (%)<65 years: 41 (53.2%)
≥65 years: 36 (46.8%)
Age (years)Mean (SD): 60.5 (12.2)
Median [min–max]: 64 [24–80]
Cancer type, n (%)Breast: 59 (76.6%)
Lymphoma: 7 (9.1%)
Sarcoma: 11 (14.3%)
Risk group according to HFA-ICOS, n (%)High Risk: 37 (48.1%)
Moderate Risk: 40 (51.9%)
BMI, n (%)<25: 24 (31.2%)
25–<30: 28 (36.4%)
≥30: 25 (32.5%)
Coexisting conditions *, n (%)Hypertension: 60 (77.9%)
Hyperlipidemia: 58 (75.3%)
Diabetes: 11 (14.3%)
Chronic kidney disease: 12 (15.6%)
Ever smoking: 37 (48.1%)
NYHA scale, n (%)1: 54 (70.1%)
2: 23 (29.9%)
ECOG score, n (%)0: 55 (71.4%)
1: 21 (27.3%)
2: 1 (1.3%)
Medications, n (%)Beta-blockers: 33 (42.9%)
ACE-i: 34 (44.2%)
Statins: 23 (29.9%)
Coronary artery stenosis, n (%)No stenosis: 36 (46.8%)
Minimal (<25%): 7 (9.1%)
Mild (25–49%): 19 (24.7%)
Moderate (50–69%): 6 (7.8%)
Severe (70–99%): 9 (11.7%)
Calcium score in cardiac CT scan, n (%) 0: 36 (46.8%)
1–99: 24 (31.2%)
100–399: 14 (18.2%)
400+: 3 (3.9%)
CAC scoreMean (SD): 84.4 (173.6)
Median [min–max]: 4 [0–1041]
Anthracycline dose (mg/m2), n (%)<250: 62 (80.5%)
≥250: 15 (19.5%)
Troponin T, n (%)≤14 ng/L: 71 (92.2%)
>14 ng/L: 6 (7.8%)
Troponin T (ng/L)Mean (SD): 8 (3.8)
Median [min–max]: 7 [3–21]
NT-proBNP, n (%)≤125 pg/mL: 48 (62.3%)
>125 pg/mL: 29 (37.7%)
NT-proBNP (pg/mL)Mean (SD): 137.9 (142)
Median [min–max]: 94 [10–629]
LV GLS (%)Mean (SD): 19.1 (2)
Median [min–max]:19.2 [14.2–25.1]
LV EF (%)Mean (SD): 61.6 (3.5)
Median [min–max]: 62 [50–69]
Creatinine (mg/dL)Mean (SD): 0.8 (0.2)
Median [min–max]: 0.8 [0.4–1.6]
EGFR (mL/min/1.73 m2)Mean (SD): 79.5 (21.7)
Median [min–max]: 76 [30–146]
Triglycerides (mg/dL)Mean (SD): 118.7 (50.5)
Median [min–max]: 105 [43.6–251]
HDL (mg/dL)Mean (SD): 58.8 (15.8)
Median [min–max]: 57 [30–119]
LDL (mg/dL)Mean (SD): 130.9 (37)
Median [min–max]: 126 [62.9–226]
Glycated hemoglobin (%)Mean (SD): 5.8 (1)
Median [min–max]: 5.8 [0–9.8]
Biomarkers
TNF-α (pg/mL)Mean (SD): 8.7 (5.5)
Median [min–max]: 8 [0–31.8]
MPO (pg/mL)Mean (SD): 312.9 (163.3)
Median [min–max]: 309.5 [40.8–525]
IL-6 (pg/mL)Mean (SD): 6.8 (8.8)
Median [min–max]: 3.8 [0.6–40.6]
* categories may overlap.
Table 2. Biomarker values throughout the observation visits, by HFA-ICOS risk group evaluated at baseline.
Table 2. Biomarker values throughout the observation visits, by HFA-ICOS risk group evaluated at baseline.
High RiskMedium RiskTotalp-Value *
Mean (sd), Median [Min–Max]Mean (sd), Median [Min–Max]Mean (sd), Median [Min–Max]
Visit 1 (baseline)IL-6 (pg/mL)9.43 (10.97). 5.98 [0.59–40.62]4.62 (5.78). 2.31 [0.7–26.39]6.83 (8.83). 3.79 [0.59–40.62]0.0186
MPO (pg/mL)327.45 (163.98). 336.7 [49.4–525]300.55 (163.69). 279.02 [40.75–525]312.91 (163.26). 309.5 [40.75–525]0.4019
TNF-α (pg/mL)9.88 (6.32). 8.67 [0–31.8]7.7 (4.52). 6.85 [0–17.2]8.7 (5.49). 7.95 [0–31.8]0.1446
Visit 3IL-6 (pg/mL)16.23 (19.25). 8.28 [0.7–66.5]7.98 (7.56). 5.94 [0.12–36.37]11.91 (14.83). 6.87 [0.12–66.5]0.18877
MPO (pg/mL)214.3 (143.08). 189.63 [31.3–525]185.19 (137.46). 122.5 [45.8–525]199.05 (139.8). 154.6 [31.3–525]0.5272
TNF-α (pg/mL)6.77 (6.23). 6.59 [0–20.3]5.38 (7.66). 3.8 [0–34.2]6.04 (7). 4.5 [0–34.2]0.1089
Visit 5IL-6 (pg/mL)7.62 (8.38). 5.43 [0.7–37.33]6.4 (7.08). 3.28 [0.56–29.58]6.94 (7.65). 4.13 [0.56–37.33]0.3985
MPO (pg/mL)209.77 (123.58). 203.75 [44.65–525]214.9 (147.25). 184.13 [21.3–525]212.62 (136.32). 193.93 [21.3–525]0.8415
TNF-α (pg/mL)2.95 (4.87). 0 [0–20.54]4.48 (6.25). 1.35 [0–26.23]3.8 (5.69). 0 [0–26.23]0.2929
* Wilcoxon rank-sum test comparing respective biomarker levels between high and medium risk groups.
Table 3. Association between biomarkers and CTRCD in multivariate random-effect logistic regression.
Table 3. Association between biomarkers and CTRCD in multivariate random-effect logistic regression.
Odds Ratiop-Value
Baseline values
IL-6 (pg/mL)Increase by 1 pg/mL0.64 (0.27–1.53)0.316
TNF-α (pg/mL)Increase by 1 pg/mL0.88 (0.38–2.02)0.756
MPO (ng/mL)Increase by 1 ng/mL1 (0.97–1.03)0.894
Values observed during treatment
IL-6 (pg/mL)Increase by 1 pg/mL1.52 (1.05–2.22)0.028
TNF-α (pg/mL)Increase by 1 pg/mL1.16 (0.76–1.78)0.486
MPO (ng/mL)Increase by 1 ng/mL0.99 (0.97–1.01)0.309
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Borowiec, A.; Ozdowska, P.; Rosinska, M.; Zebrowska, A.M.; Jasek, S.; Kotowicz, B.; Makowka, A.; Waniewska, J.; Kosela-Paterczyk, H.; Lampka, E.; et al. Interleukin-6 in Anthracycline-Related Cardiac Dysfunction: A Comparison with Myeloperoxidase and TNF-Alpha. Int. J. Mol. Sci. 2025, 26, 4071. https://doi.org/10.3390/ijms26094071

AMA Style

Borowiec A, Ozdowska P, Rosinska M, Zebrowska AM, Jasek S, Kotowicz B, Makowka A, Waniewska J, Kosela-Paterczyk H, Lampka E, et al. Interleukin-6 in Anthracycline-Related Cardiac Dysfunction: A Comparison with Myeloperoxidase and TNF-Alpha. International Journal of Molecular Sciences. 2025; 26(9):4071. https://doi.org/10.3390/ijms26094071

Chicago/Turabian Style

Borowiec, Anna, Patrycja Ozdowska, Magdalena Rosinska, Agnieszka Maria Zebrowska, Sławomir Jasek, Beata Kotowicz, Agata Makowka, Joanna Waniewska, Hanna Kosela-Paterczyk, Elzbieta Lampka, and et al. 2025. "Interleukin-6 in Anthracycline-Related Cardiac Dysfunction: A Comparison with Myeloperoxidase and TNF-Alpha" International Journal of Molecular Sciences 26, no. 9: 4071. https://doi.org/10.3390/ijms26094071

APA Style

Borowiec, A., Ozdowska, P., Rosinska, M., Zebrowska, A. M., Jasek, S., Kotowicz, B., Makowka, A., Waniewska, J., Kosela-Paterczyk, H., Lampka, E., Pogoda, K., Nowecki, Z., & Walewski, J. (2025). Interleukin-6 in Anthracycline-Related Cardiac Dysfunction: A Comparison with Myeloperoxidase and TNF-Alpha. International Journal of Molecular Sciences, 26(9), 4071. https://doi.org/10.3390/ijms26094071

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop