Literature DB >> 35261178

Novel molecular biomarkers of cancer therapy-induced cardiotoxicity in adult population: a scoping review.

Irene Cartas-Espinel1, Marcelino Telechea-Fernández2, Carlos Manterola Delgado3,4,5, Andrés Ávila Barrera6, Nicolás Saavedra Cuevas7, Angela L Riffo-Campos5,8.   

Abstract

AIM: Cancer treatments are associated with cardiotoxic events that predispose to cardiac pathology and compromise the survival of patients, making necessary the identification of new molecular biomarkers to detect cardiotoxicity. This scoping review aims to identify the available evidence on novel molecular biomarkers associated with cardiotoxicity in the adult population undergoing cancer therapy. METHODS AND
RESULTS: The databases Medline, Web of Science, Scopus, and Embase were screened for the identification of published studies until 23 August 2020, searching for novel molecular biomarkers reported in cancer therapy-related cardiac dysfunction in adult patients. A total of 42 studies that met the eligibility criteria were included. Fourteen studies reported 44 new protein biomarkers, 18 studies reported 57 new single nucleotide polymorphism biomarkers, and 11 studies reported 171 new gene expression profiles associated with cardiotoxicity. Data were extracted for 272 novel molecular biomarkers reported and evaluated in 7084 cancer patients, of which only 13 were identified in more than one study (MPO, sST2, GDF-15, TGF-B1, rs1056892, rs1883112, rs4673, rs13058338, rs1695, miR-1, miR-25-3p, miR-34a-5p, and miR-423-5p), showing values for area under the curve > 0.73 (range 0.74-0.85), odds ratio 0.26-7.17, and hazard ratio 1.28-1.80.
CONCLUSIONS: Multiple studies presented a significant number of novel molecular biomarkers as promising predictors for risk assessment of cardiac dysfunction related to cancer therapy, but the characteristics of the studies carried out and the determinations applied do not allow suggesting the clinical use of these molecular biomarkers in the assessment of cancer therapy-induced cardiotoxicity.
© 2022 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.

Entities:  

Keywords:  CTRCD; Cancer therapy; Cardio-oncology/onco-cardiology; Cardiotoxicity; LVEF; Molecular biomarkers

Mesh:

Substances:

Year:  2022        PMID: 35261178      PMCID: PMC9065865          DOI: 10.1002/ehf2.13735

Source DB:  PubMed          Journal:  ESC Heart Fail        ISSN: 2055-5822


Introduction

The relationship between cancer and cardiovascular diseases (CVDs) is studied in the field of cardio‐oncology/onco‐cardiology. , This relationship includes the cardiotoxicity associated to cancer therapies. Cancer therapy‐related cardiac dysfunction (CTRCD) is recognized as one of the main causes of mortality among breast, prostate, and bladder cancer survivors, even surpassing the mortality related to recurrence of the baseline malignancy, , , and impact the prognosis of patients treated in the short and long term. The cardiotoxic events include myocardial dysfunction, heart failure (HF), coronary artery disease, valvular disease, arrhythmias, pericardial disease, hypertension, and thrombolytic events, among others. , The cardiac imaging societies define cardiotoxicity as a serial decline of left ventricular ejection fraction (LVEF) despite symptoms, and despite existence of other cardiac imaging parameters, such as global longitudinal strain (GLS), which could be used to predict CTRCD. In addition, the LVEF as a diagnostic tool for early cardiomyopathy has poor sensitivity and variable reproducibility, highlighting the need to identify novel cardiotoxicity biomarkers. The molecular biomarkers (as protein, DNA, or RNA), among other characteristics, must detect cardiac lesions in earlier stages of the disease, monitoring the therapeutic benefit of cancer therapy with the risk of cardiotoxicity and identifying high‐risk patients who required closer cardiac surveillance or the establishment of cardioprotective strategies. , The molecular biomarkers currently accepted in the clinic are cardiac troponins and natriuretic peptides (BNPs) and their use for cardiovascular toxicity diagnosis, during and after cancer therapies, have been recently discussed. For example, Pudil et al., 2020, reviewed the role of cardiac biomarkers to monitor cardiac safety during surveillance of cancer patients receiving radiotherapy, chemotherapy, or targeted therapies. Cardiac troponins are the gold standard biomarkers for the detection of cardiac injury and cardiomyocyte necrosis, and the most extensively used biomarkers to detect cardiac toxicity. BNP and N‐terminal pro‐B type natriuretic peptides (NT‐proBNPs) are biomarkers of long‐term cardiovascular dysfunction in asymptomatic patients. , However, these biomarkers are not useful in all cases, generating contradictory results. , Therefore, the search for new biomarkers is necessary. For instance, microRNAs (miRNAs) that mediate cardiac hypertrophy and fibrosis may represent important biomarkers of HF, as well as single nucleotide polymorphisms (SNPs) that are associated with patients at increased risk of cardiotoxicity due to cancer treatment. Several studies have reported new molecular biomarkers of cardiac dysfunction, but there is no clarity on its potential as biomedical tools to recognize cardiotoxicity risk. Therefore, we conducted a scoping review to identify the emerging evidence on novel molecular biomarkers of cancer therapy‐induced cardiotoxicity in adult population, as well as to identify existing gaps in scientific knowledge on this topic.

Material and methods

Our protocol was developed and written according to the scoping review methodological framework proposed by Arksey and O'Malley. Literature searches were performed in the following information sources: Medline (by PubMed), Web of Science (WoS), Scopus, and Embase. An initial search was performed by two authors (A. L. R.‐C. and I. C.‐E.) on all included databases using keywords and index terms, followed by an analysis of the text contained in the title and abstracts, and the index terms used to describe the study (Supporting Information, ). In addition to electronic databases, searching bibliographies and reference lists from relevant publications were checked for potentially relevant studies. All searches were carried out until 23 August 2020. All identified citations were collated, and duplicates were removed. Abstracts and full‐text reviews were screened and selected by two reviewers (A. L. R.‐C. and I. C.‐E.) based on the inclusion–exclusion criteria (Supporting Information, ). Inter‐reviewer disagreement was handled by a third reviewer (M. T.‐F.). The scoping review was guided following the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses extension for Scoping Reviews (PRISMA‐ScR). For all included studies, the following data collection item was recorded: study characteristics, doi, author, year of publication, country, study designs, population characteristics, cardiotoxicity definition, and biological sample (Supporting Information, , Sheets A–E). The collection information was performed by I. C.‐E. and cross‐checked by A. L. R.‐C.

Results

Study selection and characteristics

A total of 3484 publications from 2012 to 2020 were identified (Figure ). Duplicated articles and those that did not meet the inclusion criteria during the initial screening of titles and abstracts and full‐text analysis were excluded. Additionally, nine articles were incorporated by hand searching by checking the reference lists of relevant studies. Finally, 42 studies were examined in this scoping review (Supporting Information, , Sheet E).
Figure 1

PRISMA flow diagram of the selection process and exclusion criteria. *The article Frères et al., 2018, reported protein and RNA biomarkers and it is repeated in the n of these biomarker types, but not in the total included studies.

PRISMA flow diagram of the selection process and exclusion criteria. *The article Frères et al., 2018, reported protein and RNA biomarkers and it is repeated in the n of these biomarker types, but not in the total included studies. The study design was correctly defined in 22 studies (cohort n = 12, case–control n = 7, cross‐sectional n = 2, and randomized n = 1) and only 40.4% of the studies were prospective (Table ). The studies were conducted in North America (n = 17), Europe (n = 16), Asia (n = 8), and South America (n = 1). The most common type of cancer was breast cancer (n = 30), followed by haematological malignancies (leukaemia, lymphomas, or multiple myeloma) (n = 5), lung cancer (n = 1), and colorectal cancer (n = 1). For the remaining five studies, multiple cancer types were examined. Cancer therapies were chemotherapy (n = 22), radiotherapy (n = 4), or target therapy (n = 7), and nine articles reported the use of combined therapies. The definition of cardiotoxicity varied across studies, but 66.7% used the reduction in LVEF defined by the CTCAE.
Table 1

Study characteristics summary

VariableTreated (n)Cardiotoxicity (n)Included studies
Patients6766116642
Type of cancerBreast45327 7130
Haematological8011495
Colorectal198981
Lung63111
Various types1172375
Cancer treatmentChemotherapy466757124
Target therapy11552197
Radiotherapy253644
Combined69131 27
ContinentNorth America260630517
Europe235158416
Asia17532678
South America56101
Study designCohort153866112
Case–control4671657
Cross‐sectional3381912
Randomized450871
Others39736220
CardiotoxicityLVEF decline425179528
Clinical symptoms208022010
Others5261514
MarkersProtein100233814
DNA492068018
RNA89914811

LVEF, left ventricular ejection fraction; n, number.

In the haematological type of cancer, leukaemia, lymphomas, or multiple myeloma were included. North America included USA and Canada; Europe included the Netherlands, France, Belgium, Spain, Greece, Romania, Italia, France, Norway, Turkey, and Finland; Asia included China and Japan; and South America included Brazil.

Study characteristics summary LVEF, left ventricular ejection fraction; n, number. In the haematological type of cancer, leukaemia, lymphomas, or multiple myeloma were included. North America included USA and Canada; Europe included the Netherlands, France, Belgium, Spain, Greece, Romania, Italia, France, Norway, Turkey, and Finland; Asia included China and Japan; and South America included Brazil. Finally, 14, 18, and 11 studies reported novel proteins, DNA, and RNA molecular biomarkers, respectively, associated with cardiotoxicity (Figure and Table ).

Patients characteristics

The analysed population consisted of 7084 cancer patients (age range from 43 to 65.7, median 50 years) with 70.9% (n = 5018) of females. A total of 6766 patients were treated with cancer therapy and 1166 patients reported cardiotoxicity.

Novel protein biomarkers associated with cardiotoxicity

Fourteen studies evaluated the relationship between levels of 44 circulating proteins and cardiotoxicity induced by cancer therapy (Table and Supporting Information, , Sheet F). , , , , , , , , , , , , , Only transforming growth factor‐beta 1 (TGF‐β1), interleukin‐1 suppression of tumorigenicity 2 (ST‐2), myeloperoxidase (MPO), phosphatidylinositol glycan anchor biosynthesis class F (PIGF), and growth differentiation factor 15 (GDF‐15) were repeatedly evaluated in eight studies. , , , , , , , All these proteins have been associated with cardiac dysfunction; for example, the soluble form of ST‐2 is secreted by cardiac cells in response to myocardial stress and fibrosis. The determination of proteins in plasma was done by immunoassays (n = 11) and high‐throughput (n = 3) techniques (Table ).
Table 2

Proteins associated with cancer therapy‐induced cardiotoxicity

Study ref.Sample sizeEventsType of cancerTherapyBiomarkerCardiotoxicity associationDetection methodAUCTiming of biomarker assessment
25 6620BreastRadiotherapyTGF‐β1Associated with a ≥15% decrease in TAPSE, OR = 0.85 (0.75–0.96), P < 0.05ELISAAfter completion of radiotherapy
26 6620BreastRadiotherapyTGF‐β1Associated with worsening in GLS, P = 0.013ELISA3 years after radiotherapy
27 8442BreastDoxorubicin + trastuzumabST‐2Associated with LVEF decline, P = 0.008ELISAAUC = 0.746 months after therapy
28 7836BreastDoxorubicin + trastuzumabMPOInterval changes associated with LVEF decline >10%, HR = 1.34 (1.00–1.80), P = 0.048CLIA0
29 7823BreastDoxorubicin + taxanes + trastuzumabGDF‐15Associated with risk cardiotoxicity, HR = 1.80 (1.20–2.69), P = 0.007CLIA0
PIGFAssociated with risk cardiotoxicity, HR = 3.77 (1.43–9.89), P = 0.04
MPOAssociated with risk cardiotoxicity, HR = 1.37 (1.11–1.69), P = 0.02
30 5318BreastDoxorubicin + trastuzumabMPOAssociated with CTRCD risk, HR = 1.28 (1.04–1.57), P = 0.019ELISA3.7 years after therapy
31 6114BreastRadiotherapyST2Associated with asymptomatic decline LVEF (P = 0.006)ELISA3 years after radiotherapy
32 451BreastAnthracyclinesST2Patients with CHF presented values for sST2 higher than averageELISAAfter completion of chemotherapy
33 4219BreastDoxorubicin + trastuzumabIgEAssociated with lower risk of CTRCD, OR = 0.52 (0.31–0.90), P = 0.018Mass spectrometryAUC = 0.730
34 12931HaematologicalAnthracyclinesGPBBHigher levels in patients with cardiotoxicityDouble‐ELISAAUC = 0.8140
MyoglobinHigher levels in patients with cardiotoxicityAUC = 0.810
35 2710BreastDoxorubicinCCL23Higher levels in patients with LVEF decline >10%Magnetic bead‐based multiplex immunoassayBefore each DOX cycle

AUC, area under the curve; CCL23, C–C motif chemokine 23; CHF, congestive heart failure; CLIA, chemiluminescent immunoassay; DOX, doxorubicin; ELISA, enzyme‐linked immunosorbent assay; GDF‐15, growth differentiation factor 15; GPBB, platelet glycoprotein Ib beta chain; HR, hazard ratio; IgE, immunoglobulin E; LVEF, left ventricular ejection fraction; MPO, myeloperoxidase; OR, odds ratio; PIGF, phosphatidylinositol glycan biosynthesis class F; ST‐2, suppression of tumorigenicity 2; TGF‐β1, transforming growth factor beta‐1 protein.

Sample size column is referred to treated patients. Haematological cancer includes leukaemia, lymphomas, or multiple myeloma.

Proteins associated with cancer therapy‐induced cardiotoxicity AUC, area under the curve; CCL23, C–C motif chemokine 23; CHF, congestive heart failure; CLIA, chemiluminescent immunoassay; DOX, doxorubicin; ELISA, enzyme‐linked immunosorbent assay; GDF‐15, growth differentiation factor 15; GPBB, platelet glycoprotein Ib beta chain; HR, hazard ratio; IgE, immunoglobulin E; LVEF, left ventricular ejection fraction; MPO, myeloperoxidase; OR, odds ratio; PIGF, phosphatidylinositol glycan biosynthesis class F; ST‐2, suppression of tumorigenicity 2; TGF‐β1, transforming growth factor beta‐1 protein. Sample size column is referred to treated patients. Haematological cancer includes leukaemia, lymphomas, or multiple myeloma. A protein profile performed in breast cancer patients showed that ≥15% tricuspid annular plane systolic excursion (TAPSE) decline was associated with a significant decrease in TGF‐β1 after adjuvant radiotherapy (P < 0.001). Also, a decrease in TGF‐β1 levels before and after 3 years of follow‐up were independent risk factors for worsening LV systolic dysfunction (P = 0.013). Three studies evaluated the association of soluble ST‐2 (sST‐2) with cardiotoxicity. , , Patients under anthracycline‐containing chemotherapy presented increased sST‐2 levels after treatment and were positively correlated with elevation of the cardiac‐specific isoenzyme troponin T (TnT) (P < 0.001). In addition, levels of sST‐2 after 6 months of chemotherapy were negatively correlated with LVEF (P < 0.05) and were considered an independent predictor of LVEF change [area under the curve (AUC) of 0.74] with a sensitivity and specificity of 73 and 79%, respectively. Finally, increased levels of sST‐2 in chemo‐naïve breast cancer patients treated with radiotherapy during 3 years were associated with a worse GLS (P = 0.034) and LVEF (P = 0.006). However, baseline patients' characteristics and cardiac doses were also associated with impairment in GLS. The level of MPO, GDF‐15, and PIGF proteins increases after anthracyclines and trastuzumab therapy, but only changes of MPO were related to subsequent cardiotoxicity [hazard ratio (HR) = 1.34 (1.00–1.80), P = 0.048]. The combination of MPO and troponin I (TnI) was able to improve the risk prediction of cardiotoxicity. A second study confirmed that MPO, GDF‐15, and PIGF biomarkers increase over 3 months and were associated with the prediction of subsequent cardiotoxicity against doxorubicin and trastuzumab therapy. A prospective cohort study of breast cancer patients treated with anthracyclines and trastuzumab demonstrated that higher baseline MPO levels (median 325 pmol/L) before treatment were associated with an increased risk of cardiotoxicity for over an extended period of 3.7 years [HR: 1.28 (1.04–1.57), P = 0.019].

Novel DNA biomarkers associated with cardiotoxicity

Eighteen new studies describe the significant association of 57 polymorphic variations with cardiac toxicity induced by cancer therapy , , , , , , , , , , , , , , , , , (Table and Supporting Information, , Sheet G). These DNA polymorphisms are presented in genes associated with drug metabolism and detoxification. Thus, these can be important in establishing a genetic predisposition or protection for cardiotoxicity. The SNPs were classified as intronic (22 SNPs), intergenic (14 SNPs), UTRs (3 SNPs), splice acceptor variants (1 SNP), non‐coding genes (2 SNPs), and missense/synonymous coding genes (15 SNPs). Of the total SNP evaluated, only rs1883112 (NCF4), rs4673 (CYBA), rs13058338 (RAC2), rs1695 (GSTP1), and rs1056892 (CBR3) were presented in more than one study. , , , , , , , , , , Genotyping was performed by PCR‐RFLP (n = 1), direct sequencing PCR (n = 1), Taqman (n = 5), pyrosequencing (n = 2), array/bead‐based (n = 5), or mass spectrometry‐based (n = 4) (Table ).
Table 3

Genetic polymorphisms associated with cancer therapy‐induced cardiotoxicity

Study ref.Sample sizeEventsType of cancerTherapyGeneAmino acid changeSNP rsIDCardiotoxicity associationDetection methodHWE
41 487VariousAnthracyclinesNCF4NRrs1883112A allele associated with cardiac interstitial fibrosis, OR = 5.11 (95% CI: 1.59–16.43, P = 0.018)qPCRYes
CYBANRrs4673C/C genotype associated with patched myocardial necrosis, OR = 0.112 (95% CI: 0.20–0.63, P = 0.039)Yes
42 615BreastTrastuzumabHER2Ile/ValNRSNP is significantly associated with asymptomatic LVEF decline ≥20%, P = 0.0058PCR‐RFLPYes
43 7025VariousAnthracyclines + trastuzumabCBR3V244Mrs1056892AA genotype associated with high LVEF decrease, P = 0.039qPCRYes
GSTP1I105Vrs1695G (I105V) allele had lower fractional shorting, P = 0.024Yes
50 10617HaematologicalR‐CHOPABCB1NRrs2229109AG heterozygote variant associated with Grade 2–4 cardiac toxicity, OR 1.89 (95% CI: 1.15–3.12, P = 0.010)SNP minisequencingYes
NCF4NRrs1883112AG/GG genotypes independent predictor of Grade 2–4 cardiac toxicity, OR = 0.37 (95% CI: 0.16–0.87, P = 0.023)Yes
CYBANRrs4673TT homozygote variant associated with Grade 2–4 cardiac toxicity, OR = 1.86 (95% CI: 1.15–2.99, P = 0.010)Yes
RAC2NRrs13058338AA homozygote variant associated with Grade 2–4 cardiac toxicity, OR = 1.84 (95% CI: 1.10–3.10, P = 0.019)Yes
GSTP1NRrs1695GG homozygote variant associated with Grade 2–4 cardiac toxicity, OR = 1.83 (95% CI: 1.12–3.01, P = 0.015)Yes
51 111917BreastAnthracyclinesCBR3NRrs1056892SNP associated with LVEF decline (P = 0.004)Axiom arrayNR
NCF4NRrs1883112SNP associated in patients with CHF, OR = 0.35 (95% CI: 0.15–0.78, P = 0.011)NR
ABCB1NRrs2235047SNP associated with LVEF decline (P = 0.018)NR
52 45087HaematologicalDoxorubicinNCF4NRrs1883112AA genotype associated with CHF, OR = 2.5 (95% CI: 1.3–5.0, P = 0.031)PyrosequencingNR
CYBANRrs4673T allele acute ACT, OR = 2.0 (95% CI: 1.0–3.9, P = 0.01)No
RAC2NRrs130583387508T<A acute ACT, OR = 2.6 (95% CI: 1.3–5.1, P = 0.005)NR
ABCC1G671Vrs45511401T allele with acute ACT, OR = 3.6 (95% CI: 1.6–8.4, P = 0.005)NR
53 877153BreastEpirubicinABCC1NRrs246221TT genotype was associated with LVEF decline, OR 1.59 (95% CI: 1.07–2.35, P = 0.021)Sequenom MassArrayNR
54 16619BreastDoxorubicinCBR3NRrs1056892SNP associated with increased risk of EF < 55%, OR = 2.50 (95% CI: 1.22–5.11, P = 0.012)qPCRYes
ABCB1NRrs1045642The variant allele 3435C>T had an additive protective effect for EF decline, OR = 0.48 (95% CI: 0.23–1.00, P = 0.049)Yes
NRrs1045642The variant allele 3435C > T had an additive protective effect for EF decline, OR 0.48 (95% CI: 0.23–1.00, P = 0.049)Yes
55 7818BreastTrastuzumabHER2NRrs1136201AG genotype associated with cardiotoxicity risk, OR = 7.17 (95% CI: 1.82–28.29, P = 0.005)qPCRNR
56 14029BreastTrastuzumabHER2P1170Ars1058808CC genotype Pro1170Ala associated with cardiomyopathy, OR = 2.60 (95% CI: 1.02–6.68, P = 0.046)qPCRYes
57 13213BreastTrastuzumabHER2I655Vrs1801201Val carrier genotype associated with asymptomatic LVEF < 50%, OR = 3.83 (95% CI: 1.11–13.18, P = 0.025)PCRYes
45 42718BreastAnthracyclinesUGT2B7NRrs7668258Low occurrence of cardiotoxicity, OR = 0.259 (95% CI: 0.103–0.651, P = 0.004)PyrosequencingNR

ABCB1, ATP binding cassette subfamily B member 1; ABCC1, ATP binding cassette subfamily C member 1; CBR3, carbonyl reductase 3; CHF, congestive heart failure; CI, confidence interval; CYBA, cytochrome B‐245 alpha chain; EF, ejection fraction; GSTP1, glutathione S‐transferase Pi 1; HER2, Erb‐B2 receptor tyrosine kinase 2; HWE, Hardy–Weinberg equilibrium; LVEF, left ventricular ejection fraction; NCF4, neutrophil cytosolic factor 4; NR, not reported; OR, odds ratio; RAC2, Rac family small GTPase 2; SNP, single nucleotide polymorphism; UGT2B7, UDP glucuronosyl transferase family 2 member B7.

Sample size column is referred to treated patients. Haematological cancer includes leukaemia, lymphomas, or multiple myeloma.

Genetic polymorphisms associated with cancer therapy‐induced cardiotoxicity ABCB1, ATP binding cassette subfamily B member 1; ABCC1, ATP binding cassette subfamily C member 1; CBR3, carbonyl reductase 3; CHF, congestive heart failure; CI, confidence interval; CYBA, cytochrome B‐245 alpha chain; EF, ejection fraction; GSTP1, glutathione S‐transferase Pi 1; HER2, Erb‐B2 receptor tyrosine kinase 2; HWE, Hardy–Weinberg equilibrium; LVEF, left ventricular ejection fraction; NCF4, neutrophil cytosolic factor 4; NR, not reported; OR, odds ratio; RAC2, Rac family small GTPase 2; SNP, single nucleotide polymorphism; UGT2B7, UDP glucuronosyl transferase family 2 member B7. Sample size column is referred to treated patients. Haematological cancer includes leukaemia, lymphomas, or multiple myeloma. The SNP rs1883112 conferred a protective role against cardiac toxicity for R‐CHOP therapy [odds ratio (OR) = 0.37 (95% confidence interval, CI: 0.16–0.87), P = 0.023]. In concordance with these results, a genome‐wide association study showed that a lower frequency of the rs1883112 A allele was related to congestive heart failure (CHF) [OR = 0.35, 0.15–0.78), P = 0.011] after chemotherapy. This was in contradiction to two other studies where the presence of this variant correlated with cardiac interstitial fibrosis [OR = 5.11 (95% CI: 1.59–16.43), P = 0.018] and CHF (P = 0.031). , The rs4673 242‐T allele was associated with protection against patched myocardial necrosis due to anthracyclines [OR = 0.11 (95% CI: 0.20–0.63), P = 0.039], but in contrast, other two studies associated the rs4673 SNP with chronic HF in lymphoma patients treated with R‐CHOP or doxorubicin. , Two articles reported that the rs13058338 polymorphism could be associated with CHF induced by anthracycline cancer therapy. , The SNP rs1695 in R‐CHOP was related to Grade 2–4 cardiotoxicity in R‐CHOP treatment, and carriers of the G‐allele (I105V) had significantly lower fractional shortening (FS) after anthracycline therapy (P = 0.024). , Lastly, patients that carried the rs10556892 polymorphism presented significant deterioration in cardiac functions after anthracycline treatment confirmed by a second study where this SNP was associated with risk of EF < 55% [OR = 2.50 (95% CI: 1.22–5.11), P = 0.012]. , A genome‐wide study of 1191 breast cancer participants observed an association between the rs10556892 SNP and the maximum LVEF decline (P = 0.004). Nine articles reported several SNP mutations on genes ABCC1 (rs45511401 and rs246221), HER2 (rs1801201, rs1136201, and rs1058808), and ABCB1 (rs2229109, rs1045642, and rs2235047). , , , , , , , , In the ABCC1 gene, lymphoma patients carrying the rs45511401 polymorphism were predisposed to CHF by anthracycline therapy [OR = 3.6 (95% CI: 1.6–8.4), P = 0.005]. Due to the low number of CHF patients, these results could not be confirmed in a second cohort study. , The second SNP on the ABCC1 gene, rs246221, was associated with LVEF decline >10% (P < 0.001) in patients carrying the T‐allele. From the articles that evaluated the influence of polymorphisms on the HER2 gene, the Ile655Val genotype (rs1801201 and rs1136201) was associated with trastuzumab cardiotoxicity by LVEF decline ≥20% (P = 0.0058) or LVEF < 50% (P = 0.025). , , On the other hand, the Pro1170Ala HER2 genotype (rs1058808) was frequently found in patients with cardiomyopathy due to trastuzumab [OR = 2.60 (95% CI: 1.02–6.68), P = 0.046]. Three SNPs on ABCB1 gene were associated with cancer therapy‐induced toxicity. Assuming additive genetic effects, the variant rs1045642 presented a protective role [OR = 0.48 (95% CI: 0.23–1.00), P = 0.049] while the SNPs rs2235047 and rs2229109 were associated with LVEF decline. , ,

Novel RNA biomarkers associated with cardiotoxicity

A total of 11 studies explored the relationship between drug‐induced cardiotoxicity and 171 RNA expression markers (Table and Supporting Information, , Sheet H). , , , , , , , , , , Four studies identified differential expression profile in 96 genes and seven determined the potential of 75 circulating microRNAs. The miR‐1, miR‐25‐3p, miR‐34a‐5p, miR‐423‐5p, and BANK1 transcripts were found in two independent studies. , , , , , The gene expression screening was performed using high‐throughput sequencing (n = 5) or RT‐qPCR over RNAs previously selected by literature (n = 6) (Table ).
Table 4

RNA biomarkers associated with cancer therapy‐induced cardiotoxicity

Study ref.Sample sizeEventsType of cancerTherapyBiomarkerCardiotoxicity associationDetection methodAUC/HRTiming of biomarker assessment
32 451BreastAnthracyclinesmiR‐423‐5pAssociated with LVEF (P = 0.045) and CHFRT‐qPCRAfter completion of chemotherapy
miR‐34a‐5pUp‐regulated
58 155BreastDoxorubicinBANK1Down‐regulated (P ≤ 0.05) in patients with low ejection fractionsGeneChip ArrayAfter completion of DOX chemotherapy
59 5610BreastDoxorubicinmiR‐1Up‐regulation associated with LVEF (P < 0.0001)RT‐qPCRAUC = 0.8513 months after DOX chemotherapy
miR‐423‐5pUp‐regulated in patients with cardiotoxicity
60 3010BreastDoxorubicinmiR‐1Down‐regulated (P = 0.003) in patients with abnormal LVEF after 2 cycles of chemotherapyRT‐qPCRAfter 1 cycle of DOX chemotherapy
miR‐25‐3pUp‐regulated (P = 0.017) in patients with abnormal LVEF
61 6311LungRadiotherapymiR‐25‐3pUp‐regulatedmiRNA PCR arrayHR = 0.8261 week prior to initiation of radiotherapy
miR‐34a‐5pUp‐regulatedHR = 0.722
miR‐223‐3pUp‐regulatedHR = 0.968
62 338BreastDoxorubicinBANK1Down‐regulatedBeadChip ArrayAfter completion of chemotherapy
63 36319BreastAnthracyclinesmiR‐17‐5pPrediction cardiotoxicity risk, OR = 0.000 (95% CI: 0.000–0.000, P = 0.014)RT‐qPCRAUC = 0.702Before chemotherapy
miR‐20aPrediction cardiotoxicity risk, OR = 0.005 (95% CI: 0.000–0.484, P = 0.024)AUC = 0.754
64 19898ColorectalBevacizumabmiR‐1254Up‐regulatedmiRNA arrayWithin 24 h of the onset of symptoms

AUC, area under the curve; CHF, congestive heart failure; CI, confidence interval; DOX, doxorubicin; HR, hazard ratio; LVEF, left ventricular ejection fraction; OR, odds ratio; RT‐qPCR, quantitative reverse transcription PCR.

Sample size column is referred to treated patients.

RNA biomarkers associated with cancer therapy‐induced cardiotoxicity AUC, area under the curve; CHF, congestive heart failure; CI, confidence interval; DOX, doxorubicin; HR, hazard ratio; LVEF, left ventricular ejection fraction; OR, odds ratio; RT‐qPCR, quantitative reverse transcription PCR. Sample size column is referred to treated patients. The miR‐1 showed down‐regulation in breast cancer patients who developed LVEF decline after the completion of doxorubicin‐based chemotherapy but, in a second study, was associated with decreased LVEF (P < 0.0001) and prediction of cardiotoxicity (AUC = 0.851). , The miR‐25‐3p was up‐regulated in lung and breast cancer patients treated with radiotherapy or doxorubicin chemotherapy who developed cardiotoxicity. , Up‐regulation of miR‐34a‐5p in treated‐naïve breast cancer patients immediately after anthracycline was identified as a possible risk factor for cardiotoxicity development. The last miRNA, the miR‐423‐5p, was up‐regulated during chemotherapy treatment and was associated with decreased LVEF (P = 0.045). , A genomic profile in patients who presented abnormal LVEF by doxorubicin treatment showed a significant down‐regulation of BANK1 gene. ,

Other novel molecular biomarkers of interest

Some novel biomarkers such as miR‐223‐3p, the protein IgE, and the rs1045642 (ABCB1) and rs7668258 (UGT2B7) polymorphisms were associated with a protective role or lower occurrence of cardiotoxicity due to cancer therapy. , , , Noteworthy, the combined use of MPO and TnI was able to provide additive value in predicting subsequent cardiotoxicity, and the measure of proteins BNP, myoglobin, and GPBB (a glycogen phosphorylase released into circulation after myocardial injuries) together in patients with anthracycline risk cardiotoxicity exhibited an AUC of 0.930 with a sensitivity of 90.3% and specificity of 85.7%. Further on, the combination of miR‐17‐5p and miR‐20a expressions displayed a predictive benefit for low cardiotoxicity risk (AUC = 0.842). High baseline concentration of chemokine CCL23 plasma levels before early doses of doxorubicin treatment could predict subsequent LVEF decline in breast cancer patients (P < 0.05). Lastly, the expression profile of circulating miRNAs in two independent cohorts of colorectal cancer showed that only up‐regulation of miR‐1254 could be considered as a putative biomarker for bevacizumab‐induced cardiotoxicity (Tables 2, 3, 4).

Discussion

Summary of findings

To the best of our knowledge, this is the first and only scoping review focused on novel molecular biomarkers associated with cancer therapy‐induced cardiotoxicity in adulthood. We found a total of 42 articles, examining 44 proteins, 57 SNPs, and 171 differential gene expression profiles. Within these studies, two approaches are used for the identification of new biomarkers. The first approach utilizes high‐throughput analysis to identify new biomarkers among the total of molecules studied. , , , , , , , , , , , , , , , , , The second approach, used in the most of articles, is a directed selection based on a previous literature search. Further, in an attempt to provide a biological context of these novel molecular biomarkers with cancer therapy‐induced cardiotoxicity, three articles performed a network analysis where they identified an over‐representation of biological processes involved in apoptosis, immune response, drug/response transport, collagen metabolism, and activation of matrix metalloproteinases. , , However, the lack of complete knowledge on the molecular mechanisms of drug action constitutes one of the major problems to improve the biomarker discovery and its role on cardiotoxicity. From the total 272 novel molecular biomarkers reported, only 13 were assessed by two or more studies (MPO, sST2, GDF‐15, TGF‐B1, rs1056892, rs1883112, rs4673, rs13058338, rs1695, miR‐1, miR‐25‐3p, miR‐34a‐5p, and miR‐423‐5p). Furthermore, contradictory results were reported when the role of the same molecular biomarker of cardiotoxicity was examined in the different studies. For example, the HER2 Ile655Val polymorphism was significantly associated with cardiotoxicity, but a genome‐wide study failed to observe any association between HER2 gene and LVEF decline in breast cancer patients treated with trastuzumab. , , , Another approximation used by some authors is attempting to study the prediction role of these novel molecular biomarkers in combination with previously recognized cardiac biomarkers, such as TnI or BNP, to evaluate cardiotoxicity risk due to cancer therapy. The authors recognize a superior performance when two molecular biomarkers were used together, suggesting the usefulness of this strategy to identify subgroups of patients with considerable risk to suffer cardiotoxicity. , , Regarding the types of therapy studied, a lack is observed in the identification of molecular biomarkers for the new types of therapy, as immunotherapy. For instance, reviews highlight the cardiotoxic effects of CAR‐T cell treatment such as tachycardia, hypotension, hypertension, LVEF decrease, and cardiogenic shock, , , but associated molecular biomarkers have not been investigated. There is also a lack of information regarding the types of molecular biomarker identified. For example, studies evaluating the role of epigenetic biomarkers with cardiotoxicity in patients were not reported, despite that the recent findings demonstrate that decreased DNA methylation and increased acetylation are associated to doxorubicin induced in in vivo and in vitro models. These gaps in knowledge added to the fact that the molecular factors related to cardiotoxicity derived from cancer treatment are not reported in all types of cancer, which opens a new field for the discovery of new molecular biomarkers. On the other hand, the majority of the studies focused on the identification of novel molecular biomarkers before or immediately after treatment to predict early changes in cardiac parameters to identify patients at high risk of cardiotoxicity, but cancer therapies may also induce cardiovascular late effects. , For instance, study conducted in long‐term survivors of paediatric cancer showed that they had more than nine‐fold increased rates of suffering CHF, CVD, or stroke compared with general population after chemotherapy and radiation therapy. Therefore, long follow‐up studies for these molecular biomarkers are suggested to understand late cardiac effects due to cancer therapy. In this sense, the absence of a uniform definition for cardiotoxicity among trials could significantly influence the validity of the results. Even more, establishing a consensus in the definition of cardiotoxicity is an urgent need. Some interesting studies found in the systematic search were left out of the selection due to the definition of cardiotoxicity used. A recent study has made an attempt to uniform these diagnostic criteria suggesting a division of cardiotoxicity into four exclusive degrees groups according to their myocardial injury/dysfunction that could serve as a guide for future studies in cardio‐oncology field. Regardless of the above and despite advances in the identification of new molecular biomarkers, further research is needed to outline whether all these novel molecular biomarkers could provide additional value in cardiotoxicity management and risk evaluation over already established cardiac biomarkers and cardiac imaging techniques.

Limitation of included studies

This scoping review suggests that knowledge related to novel molecular biomarkers in cardiotoxicity is in an early stage of understanding. A common limitation in most of the studies is the small sample size and reduced number of individuals experiencing cardiotoxicity events, which reduce the statistical power and limits the association between molecular biomarker changes and cardiotoxicity. Further, due to the novelty of these molecular biomarkers, the authors did not provide the potential implications of additional risk factors such as underlying CVDs, age, cumulative dose, or concomitant administration of multiple treatment modalities, which could have been contributing to the cardiotoxicity outcomes. There is also a selection bias due to single‐institution studies, cancer types, and population characteristics. International collaboration research and additional replication studies could help to validate and add consistency to these novel molecular biomarkers on cardiotoxicity towards their clinical use. Furthermore, longer follow‐up trials and larger prospective clinical studies are required to establish molecular biomarker associations as it takes years for some cardiotoxic regimens to manifest symptoms. Finally, the exclusion of patients with underlying CVDs and the lack of control groups, among others, hinder the application of novel molecular biomarkers in clinical practices.

Strengths and limitations of scoping review

The purpose of this review was to assess the amount and the preliminary nature of published evidence for novel molecular biomarkers associated with cancer therapy‐induced cardiotoxicity in the adult population. This scoping review used precise methods to ensure a broad search of the literature, including four electronic databases and a reference list of relevant publications. The screening and data characterization forms were pre‐tested by at least two reviewers and revised as needed before implementation. Each citation and article was reviewed by two independent reviewers who met to resolve conflicts. A bias towards English‐language terms could have arisen on missing documents of interest in our scoping review. Our literature search included different terms used to describe cardiotoxicity, but other words may also exist. Only 22 articles reported the study design, and because of the heterogeneity, we could not infer the level of evidence for the literature search.

Conclusions

There is currently a limited amount of research on novel molecular biomarkers to predict cardiac toxicity induced by cancer therapies. This scoping review showed that the investigation of new protein, DNA, and RNA biomarkers in cardio‐oncology is still at early stages and highlighted several limitations to confirm their added value in cardiotoxicity. Even though, molecular biomarker research is a promising area that would help to establish new strategies for CVD prevention and diagnosis for patients undergoing cancer therapy.

Conflict of interest

None declared.

Funding

This work was supported by the Chilean ANID/Fondecyt‐Postdoctorado No. 3180486 (A.L.R.‐C), and Grants ANID/Doctorado Nacional No. 21150650 (I.C.‐E.) and supported by the Universidad de La Frontera, project DI22‐0014 (A.L.R.‐C and I.C.‐E.). Table S1. Search strategy. Click here for additional data file. Table S2. Eligibility criteria for the clinical research question. Click here for additional data file. Table S3. Data collection of included studies. Click here for additional data file.
  76 in total

Review 1.  Cardio-oncology: a multidisciplinary approach for detection, prevention and management of cardiac dysfunction in cancer patients.

Authors:  Kazuko Tajiri; Kazutaka Aonuma; Ikuo Sekine
Journal:  Jpn J Clin Oncol       Date:  2017-08-01       Impact factor: 3.019

2.  Baseline Immunoglobulin E Levels as a Marker of Doxorubicin- and Trastuzumab-Associated Cardiac Dysfunction.

Authors:  Lynn A Beer; Andrew V Kossenkov; Qin Liu; Eline Luning Prak; Susan Domchek; David W Speicher; Bonnie Ky
Journal:  Circ Res       Date:  2016-08-31       Impact factor: 17.367

3.  Classification, prevalence, and outcomes of anticancer therapy-induced cardiotoxicity: the CARDIOTOX registry.

Authors:  José López-Sendón; Carlos Álvarez-Ortega; Pilar Zamora Auñon; Antonio Buño Soto; Alexander R Lyon; Dimitrios Farmakis; Daniela Cardinale; Miguel Canales Albendea; Jaime Feliu Batlle; Isabel Rodríguez Rodríguez; Olaia Rodríguez Fraga; Ainara Albaladejo; Guiomar Mediavilla; Jose Ramón González-Juanatey; Amparo Martínez Monzonis; Pilar Gómez Prieto; José González-Costello; José María Serrano Antolín; Rosalía Cadenas Chamorro; Teresa López Fernández
Journal:  Eur Heart J       Date:  2020-05-07       Impact factor: 29.983

4.  Immune response proteins as predictive biomarkers of doxorubicin-induced cardiotoxicity in breast cancer patients.

Authors:  Li-Rong Yu; Zhijun Cao; Issam Makhoul; Jaclyn R Daniels; Suzanne Klimberg; Jeanne Y Wei; Jane Pf Bai; Jinong Li; Julia T Lathrop; Richard D Beger; Valentina K Todorova
Journal:  Exp Biol Med (Maywood)       Date:  2017-12-09

5.  Correlation of circulating pro-angiogenic miRNAs with cardiotoxicity induced by epirubicin/cyclophosphamide followed by docetaxel in patients with breast cancer.

Authors:  Xiantao Qin; Fangyuan Chang; Zhenfeng Wang; Wenying Jiang
Journal:  Cancer Biomark       Date:  2018       Impact factor: 4.388

6.  Early increases in multiple biomarkers predict subsequent cardiotoxicity in patients with breast cancer treated with doxorubicin, taxanes, and trastuzumab.

Authors:  Bonnie Ky; Mary Putt; Heloisa Sawaya; Benjamin French; James L Januzzi; Igal A Sebag; Juan Carlos Plana; Victor Cohen; Jose Banchs; Joseph R Carver; Susan E Wiegers; Randolph P Martin; Michael H Picard; Robert E Gerszten; Elkan F Halpern; Jonathan Passeri; Irene Kuter; Marielle Scherrer-Crosbie
Journal:  J Am Coll Cardiol       Date:  2013-11-27       Impact factor: 24.094

7.  Evidence for association of SNPs in ABCB1 and CBR3, but not RAC2, NCF4, SLC28A3 or TOP2B, with chronic cardiotoxicity in a cohort of breast cancer patients treated with anthracyclines.

Authors:  Daniel L Hertz; Megan V Caram; Kelley M Kidwell; Jacklyn N Thibert; Christina Gersch; Nicholas J Seewald; Jeffrey Smerage; Melvyn Rubenfire; N Lynn Henry; Kathleen A Cooney; Monika Leja; Jennifer J Griggs; James M Rae
Journal:  Pharmacogenomics       Date:  2016-01-22       Impact factor: 2.533

8.  Genome-wide association and pathway analysis of left ventricular function after anthracycline exposure in adults.

Authors:  Quinn S Wells; Olivia J Veatch; Joshua P Fessel; Aron Y Joon; Rebecca T Levinson; Jonathan D Mosley; Elizabeth P Held; Chase S Lindsay; Christian M Shaffer; Peter E Weeke; Andrew M Glazer; Kevin R Bersell; Sara L Van Driest; Jason H Karnes; Marcia A Blair; Lore W Lagrone; Yan R Su; Erica A Bowton; Ziding Feng; Bonnie Ky; Daniel J Lenihan; Michael J Fisch; Joshua C Denny; Dan M Roden
Journal:  Pharmacogenet Genomics       Date:  2017-07       Impact factor: 2.089

9.  Polymorphic Variations Associated With Doxorubicin-Induced Cardiotoxicity in Breast Cancer Patients.

Authors:  Valentina K Todorova; Issam Makhoul; Ishwori Dhakal; Jeanne Wei; Annjanette Stone; Weleetka Carter; Aaron Owen; V Suzanne Klimberg
Journal:  Oncol Res       Date:  2017-03-02       Impact factor: 5.574

10.  Changes in Cardiovascular Biomarkers With Breast Cancer Therapy and Associations With Cardiac Dysfunction.

Authors:  Biniyam G Demissei; Rebecca A Hubbard; Liyong Zhang; Amanda M Smith; Karyn Sheline; Caitlin McDonald; Vivek Narayan; Susan M Domchek; Angela DeMichele; Payal Shah; Amy S Clark; Kevin Fox; Jennifer Matro; Angela R Bradbury; Hayley Knollman; Kelly D Getz; Saro H Armenian; James L Januzzi; W H Wilson Tang; Peter Liu; Bonnie Ky
Journal:  J Am Heart Assoc       Date:  2020-01-21       Impact factor: 5.501

View more
  1 in total

Review 1.  Novel molecular biomarkers of cancer therapy-induced cardiotoxicity in adult population: a scoping review.

Authors:  Irene Cartas-Espinel; Marcelino Telechea-Fernández; Carlos Manterola Delgado; Andrés Ávila Barrera; Nicolás Saavedra Cuevas; Angela L Riffo-Campos
Journal:  ESC Heart Fail       Date:  2022-03-08
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.