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ESC heart failure · 2023

Early diagnostic value of high-sensitivity cardiac troponin T for cancer treatment-related cardiac dysfunction: a meta-analysis.

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Lv X, Pan C, Guo H, Chang J, Gao X, Wu X, Zhi X, Ren C, Chen Q, Jiang H, Zhao X, Liu K, Li Y

Аннотация

Early diagnosis of cancer treatment-related cardiac dysfunction (CTRCD) is important as cancer therapy increases the risk of cardiac dysfunction. High-sensitivity cardiac troponin T (hs-cTnT) is a highly specific marker of myocardial injury. However, its diagnostic value for CTRCD has not been systematically evaluated. This meta-analysis aimed to evaluate whether hs-cTnT could be used as an early diagnostic biomarker for CTRCD. We systematically surveyed PubMed, Embase, Cochrane Library, and Web of Science databases for studies of hs-cTnT for the diagnosis of CTRCD before 1 April 2022. Patients of all ages and all cancer types who underwent echocardiographic left ventricular ejection fraction assessment and blood hs-cTnT and received anticancer therapy (including chemotherapy, radiotherapy, targeted therapy, immune checkpoint inhibitors, and other treatments) were included in this study, resulting in a total of eight studies with 1294 patients. The occurrence of CTRCD was associated with elevated hs-cTnT [sensitivity: 0.78, 95% confidence interval (CI): 0.64-0.88; specificity: 0.75, 95% CI: 0.59-0.86; area under the curve (AUC): 0.83, 95% CI: 0.80-0.86]. We further performed subgroup analysis and found that the AUC of hs-cTnT elevation for the diagnosis of CTRCD increased from 0.83 to 0.90 (95% CI: 0.87-0.92) at 3-6 months, suggesting a higher early diagnostic value of hs-cTnT compared with echocardiography for CTRCD. In terms of clinical applicability, the Fagan plot showed pre-test and post-test probabilities of 51% and 9%, respectively, indicating that hs-cTnT testing can improve the accuracy of clinical diagnosis of CTRCD. However, it was not possible to determine the optimal cut-off value for early diagnosis of CTRCD with hs-cTnT. The Deeks funnel plot was largely symmetrical (P = 0.74); hence, publication bias was not observed. Hs-cTnT allowed early CTRCD diagnosis at 3-6 months. However, further high-quality research is needed to determine the optimal cut-off value for early CTRCD diagnosis with this biomarker.

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https://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

Introduction

The number of cancer survivors has continued to increase owing to advances in cancer diagnosis and treatment. 1 However, cancer treatment‐related cardiovascular complications are a significant cause of death among cancer survivors, and treatments such as chemoradiotherapy for tumours can cause structural and functional damage to the myocardium, leading to cancer treatment‐related cardiac dysfunction (CTRCD). Anthracyclines, trastuzumab, pertuzumab, immune checkpoint inhibitors (ICIs), and radiation therapy can all lead to CTRCD in cancer patients. 2 , 3 The 2002 Clinical Practice Guidelines in Cardio‐Oncology updated the definition of CTRCD 3 as follows: (i) left ventricular ejection fraction (LVEF) ≥ 50% with a relative decrease in overall longitudinal echocardiographic strain of >15% and/or a new increase in cardiac biomarkers; (ii) an LVEF decrease to 40–49% accompanied by a relative decrease in overall longitudinal echocardiographic strain of >15% and/or a decrease in LVEF < 10% and a new increase in cardiac biomarkers; or (iii) an LVEF decrease to ≤40%. CTRCD monitoring methods include electrocardiography, cardiac magnetic resonance imaging (MRI), nuclear imaging techniques, and serum markers in addition to echocardiography. 3 , 4 , 5 , 6 , 7 , 8 However, limitations exist among current detection methods. Therefore, early CTRCD detection is critical for the prevention of long‐term cardiovascular morbidity in cancer survivors.

Serum biomarkers are important baseline risk assessment and diagnosis tools of CTRCD to guide cardioprotective therapy during anticancer treatment in cancer patients and to provide prognostic prediction. 9 The 2016 European Society of Cardiology (ESC) position paper on cancer therapy and cardiovascular toxicity also recommends the use of high‐sensitivity troponins to predict left ventricular (LV) dysfunction in patients treated with anthracyclines and/or trastuzumab. 8 The 2020 European Society for Medical Oncology (ESMO) consensus states that measurement of high‐sensitivity troponin at the baseline examination for oncology therapy may be useful in detecting or predicting cardiovascular toxicity, particularly cardiomyopathy and/or heart failure (HF). 10 Recent Clinical Practice Guidelines in Cardio‐Oncology suggested that myocardial markers, such as troponin and brain natriuretic peptide, are included as diagnostic indicators of CTRCD, 3 suggesting that the diagnostic value of troponin for CTRCD has been gradually emphasized. Michel et al . analysed 61 trials with 5691 patients and showed that troponin had a negative predictive value of 93% for CTRCD, with a high exclusionary diagnostic value. 11 Additionally, several studies suggested that serum high‐sensitivity troponin could be used as a marker for early monitoring of CTRCD in patients undergoing cancer chemoradiotherapy. 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 However, no systematic and comprehensive evaluation of the early diagnostic value of serum high‐sensitivity cardiac troponin T (hs‐cTnT) has been performed.

In this systematic review and meta‐analysis, all studies that used hs‐cTnT as a diagnostic index of CTRCD and LVEF as the diagnostic gold standard were included to assess the early diagnostic value of hs‐cTnT in CTRCD.

Methods

This study was registered with PROSPERO (CRD42022297497) and followed the Cochrane Handbook for Systematic Reviews of Interventions and Preferred Reporting Items for a Systematic Review and Meta‐Analysis of Diagnostic Test Accuracy Studies: the PRISMA‐DTA Statement. 25 , 26

Study selection

The authors searched for studies on the role of hs‐cTnT in CTRCD diagnosis in PubMed, Embase, Cochrane Library, and Web of Science databases from the database‐establishment dates until 1 April 2022. The search terms were as follows: [cardiotoxicity (MeSH) OR cardiotoxicity OR cardiac toxicity OR cardiac toxicities OR toxicity, cardiac OR cardiovascular toxicity OR cardiovascular dysfunction OR cardiac dysfunction OR cardiac insufficiency] AND (High‐Sensitivity Troponin OR high‐sensitivity cardiac troponin OR hs‐cTn). References of the included studies were also manually searched for potentially relevant studies. The two authors (L. X. F. and W. X.) performed all database searches, abstract screenings, and full‐text reviews independently. References selected through database searches were imported into Endnote 20, and their titles and abstracts were independently reviewed after duplicates had been removed. Echocardiographic LVEF assessment and blood hs‐cTnT examination were performed in patients of all age groups and all cancer types, who received chemotherapy, radiotherapy, targeted therapy, ICIs, and other treatments. During baseline examinations and follow‐ups of oncology treatment, diagnostic sensitivity and specificity were clearly reported. Literature published in English was included, whereas reviews, case reports, letters, comments, and animal studies were excluded.

Data extractions and quality assessments

A standardized data extraction table was developed to extract data, including the names of first authors, publication years, countries, study designs, tumour types, treatment methods, patient sex, age, baseline LVEF and hs‐cTnT values, hs‐cTnT thresholds, testing time, true positive values, false positive values, false negative values, and true negative values. The two authors (L. X. F. and W. X.) independently extracted all data, and all discrepancies were resolved by Z. X. D.

The authors (L. X. F. and W. X.) independently assessed the quality of included studies using the Quality Assessment of Studies in Diagnostic Accuracy (QUADAS‐2) tool. 27 For the Patient Selection domain, if all patients receiving tumour treatment (with any tumour types, treatment methods, ages, etc.) were consecutively or randomly included in a study, they were considered to be at a low risk of bias. If pre‐specified thresholds were used and results were interpreted without the knowledge of LVEF results, the Index Test domain was considered to be at a low risk of bias. If LVEF values for all included patients were calculated by transthoracic two‐dimensional echocardiography using the Simpson modified biplane method and were obtained without the knowledge of hs‐cTnT results, the Reference Standard domain was considered to be at a low risk of bias. Regarding the risk of bias for the Flow and Timing domain, if hs‐cTnT and LVEF were examined simultaneously in a single treatment cycle, they were treated as acceptable values. Any discrepancies in the quality evaluation process were resolved by a third reviewer (Z. X. D.).

Statistical analysis

The sensitivity and specificity of hs‐cTnT were estimated using a random‐effects model with 95% confidence interval (CI). Additionally, positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR) were calculated. The summary receiver operating characteristic (SROC) curve was constructed, and the area under the curve (AUC) was calculated. The following recommendations were provided for the interpretation of AUC values: low (0.5 ≤ AUC < 0.7), moderate (0.7 ≤ AUC < 0.9), or high (0.9 ≤ AUC ≤ 1) accuracy. Heterogeneity in combined studies was assessed using Cochrane Q and I 2 statistics. I 2 < 25% indicated no heterogeneity, 25% < I 2 < 50% indicated moderate heterogeneity, and I 2 > 50% indicated high heterogeneity among the results. If there was significant heterogeneity, a meta‐regression analysis was performed to explore potential sources. Sensitivity analyses were conducted by analysing one article at a time. Publication bias was assessed using the Deeks funnel plot, and P < 0.05 was considered significant. Clinical applicability of the studies was evaluated by a Fagan diagram. Statistical analyses were performed by one of the authors (L. X. F.) in STATA 16.0 using the ‘MIDAS’ module and meta disc 1.4 software.

Results

Research features

A total of 3578 papers were retrieved, and 3570 ineligible papers were excluded ( Figure 1 ). Eight studies included in this review were published between 2014 and 2021, with two from China, two from Japan, and four from the United States, Italy, Romania, and Germany. A total of 1294 patients were included in these articles, with 633 cases of breast cancer, 186 cases of lymphoma, 90 cases of upper gastrointestinal tract tumours, 41 cases of multiple myeloma, 36 cases of melanoma, 31 cases of ovarian cancer, 28 cases of neuroendocrine tumour, 27 cases of lung cancer, 18 cases of acute myeloid leukaemia, 15 cases of sarcoma, 3 cases of pleural mesothelioma, and 186 cases with no specific tumour type reported. The average patient age was 48–70 years, and 71.3% of them were women (922 cases). The study design included six prospective cohort studies and two retrospective studies. Most enrolled patients received anthracycline chemotherapy, some received trastuzumab monoclonal antibodies, and a minority of patients received ICIs or thoracic radiation therapy. Roche Diagnostics instruments were used for hs‐cTnT diagnosis (all instruments from Roche Diagnostics had a range of 3–14 ng/L). Of the included studies, five studies used the Cobas instrument, one study used the Elecsys 2010 analyser, one study used ECLusys high‐sensitivity Troponin T, and one study did not report the specific instrument and model. Cardiotoxicity was defined as an LVEF decrease in the range of ≥10% and <50%, measured by two‐dimensional echocardiography after cancer therapy initiation, and the incidence rate of CTRCD ranged from 6.1% to 47%. Details of each study are presented in Table 1 . Further details are provided in the supporting information .

Figure 1 Flowchart of study selection. From the four databases, 3578 studies were initially retrieved, 960 were duplicate studies, 1321 studies did not fit the topic, and 1257 rev…
Figure 1 Flowchart of study selection. From the four databases, 3578 studies were initially retrieved, 960 were duplicate studies, 1321 studies did not fit the topic, and 1257 reviews, conference abstracts, meta‐analyses, reviews, letters, case reports, and animal studies were removed. The full text of the remaining 40 studies was read, 31 studies that did not meet the inclusion criteria were excluded, and one of the remaining nine studies was excluded because data could not be extracted, resulting in the inclusion of eight studies.

Table 1
Basic characteristics of included studies
AML, acute myeloid leukaemia; CTRCD, cancer treatment‐related cardiac dysfunction; FN, false negative; FP, false positive; GI, gastrointestinal; hs‐cTnT, high‐sensitivity cardiac troponin T; LVEF, left ventricular ejection fraction; NET, neuroendocrine tumour; R‐CHOP, rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone; TN, true negative; TP, true positive.

Baseline
SourceStudy designCountry of publicationCancer type (%)Treatment (%)Age (years)Female (%)Cut‐off (ng/L)LVEF (%)hs‐cTnT (ng/L)Study size (no.)Detection time of hs‐cTnTCTRCD (%)TPFPFNTN
Demissei et al ., 16 2020ProspectiveAmericaBreast cancer, 100Doxorubicin, 61.6; trastuzumab, 22; doxorubicin + trastuzumab, 16.4Mean: 4810014Mean: 53Mean: 31702 months18.219521287
Zhang et al ., 17 2017RetrospectiveChinaLarge B‐cell lymphoma, 100CHOP/R‐CHOP, 100Mean (SD): 50 (12)507.5Mean (SD): 69 (12.4)Mean (SD): 3 (3)822–4 chemotherapy cycles6.1312265
Bisoc et al ., 18 2020ProspectiveRomaniaNot providedDoxorubicin, 100Mean (SD): 56.6 (10.2)60.38Mean: 60.1Not provided683 months22.11017536
Kitayama et al ., 20 2017ProspectiveJapanBreast cancer, 100Anthracycline (epirubicin), 85; trastuzumab, 45; both agents, 30No cardiotoxicity, mean (SD): 55 (2.0); cardiotoxicity, mean (SD): 57 (4.3)1007No cardiotoxicity, mean (SD): 70 (1.0); cardiotoxicity, mean (SD): 73 (1.0)No cardiotoxicity, mean (SD): 7 (1.7); cardiotoxicity, mean (SD): 5 (1.9)403 months1040036
Katsurada et al ., 19 2014ProspectiveJapanBreast cancer, 100Radiation, 63; doxorubicin, 26; epirubicin, 73.6Group N, mean (SD): 49 (7); Group R, mean (SD): 57 (9)1005.5Group N, mean (SD): 68 (5.0); Group R, mean (SD): 71 (3.0)Group N, mean: 3; Group R, mean: 3196 months477228
Petricciuolo et al ., 22 2021ProspectiveItalyLung cancer, 90; pleural mesothelioma, 10Pembrolizumab, nivolumab, durvalumab, and atezolizumab, 100Mean: 682314Mean: 57Mean: 12303 months43104313
Kang et al ., 23 2014ProspectiveChinaLarge B‐cell non‐Hodgkin's lymphoma, 100R‐CHOP, 100Mean (SD): 53.9 (13.8)45.3>4 from baselineMean (SD): 65 (3.8)Mean (SD): 1 (2)75The third chemotherapy cycle (21 days as a cycle)18.71122339
Finke et al ., 21 2021RetrospectiveGermanyBreast cancer, 49.9; upper GI tumour, 11.1; multiple myeloma, 5.1; melanoma, 4.4; ovarian cancer, 3.8; NET, 3.5; lymphoma, 3.6; AML, 2.2; sarcoma, 1.9; others, 14.6Palliative, 21.5; adjuvant, 15.4; neoadjuvant, 29.3; terminated, 16.8; others, 17.0Mean: 6070.47Mean: 60Mean: 78108.8 months32.724430021245

Quality assessment of included studies

As shown in Figure 2 , two studies with no patient inclusion criteria were included, and the risk of bias in the Patient Selection domain was unclear. Risk of bias in the Reference Standard domain was also unclear because five studies did not provide blinded information on the interpretation of LVEF results. A high risk of bias was mainly observed in the domains of Index Test and Flow and Timing. In the Index Test domain, five studies with neither blinded information nor pre‐determined thresholds were at a high risk of bias; two other studies without pre‐determined thresholds were at a high risk of bias; and one study without blinded information had an unclear risk of bias. In the Flow and Timing domain, one study, which did not measure hs‐cTnT and LVEF in the same treatment cycle and did not include all patients in the statistical analysis, was at a high risk of bias; one study, which included patients without the same gold standard assessment and did not include all patients in the statistical analysis, was at a high risk of bias; and two other studies, which did not include all patients in the statistical analysis, were also at a high risk of bias. One study had problems with its clinical applicability because it defined cardiotoxicity as an LVEF decrease of >5%, measured by two‐dimensional echocardiography after anticancer therapy initiation.

Figure 2 Risk of bias assessment. The risk of bias was assessed for the included studies using the Quality Assessment of Studies in Diagnostic Accuracy (QUADAS‐2) tool on ReviewMa…
Figure 2 Risk of bias assessment. The risk of bias was assessed for the included studies using the Quality Assessment of Studies in Diagnostic Accuracy (QUADAS‐2) tool on ReviewManager 5.2 software. In the Patient Selection domain, two studies had an unclear risk of bias. In the Index Test domain, seven studies had a high risk of bias and one study had an unclear risk of bias. Five studies in the Reference Standard domain had an unclear risk of bias. In the Flow and Timing domain, four studies were at a high risk of bias; one study was at a high risk of bias in terms of clinical applicability.

Diagnostic value

The meta‐analysis showed that the combined sensitivity was 0.78 (95% CI: 0.64–0.88) and the specificity was 0.75 (95% CI: 0.59–0.86) ( Figure 3 ); the PLR was 3.1 (95% CI: 1.8–5.4), NLR was 0.29 (95% CI: 0.17–0.50), DOR was 11 (95% CI: 4–27), and AUC was 0.83 (95% CI: 0.80–0.86) ( Figure 4 ). The analysis suggested that hs‐cTnT had a moderate diagnostic value for CTRCD (0.7 ≤ AUC < 0.9).

Figure 3 Sensitivity and specificity forest plot. Sensitivity and specificity analyses were performed using STATA 16.0 software with a random‐effects model. The results showed a c…
Figure 3 Sensitivity and specificity forest plot. Sensitivity and specificity analyses were performed using STATA 16.0 software with a random‐effects model. The results showed a combined sensitivity of 0.78 [95% confidence interval (CI): 0.64–0.88] and a specificity of 0.75 (95% CI: 0.59–0.86).
Figure 4 Summary receiver operating characteristic (SROC) curve of diagnostic performance of high‐sensitivity cardiac troponin T in detecting cancer treatment‐related cardiac dysf…
Figure 4 Summary receiver operating characteristic (SROC) curve of diagnostic performance of high‐sensitivity cardiac troponin T in detecting cancer treatment‐related cardiac dysfunction. The SROC curve was constructed using STATA 16.0 software, and the area under the curve (AUC) was 0.83 (95% confidence interval: 0.80–0.86).

Heterogeneity tests

SROC contours were drawn for threshold effect analyses, and the results showed that the corresponding points of each study were scattered, without a ‘shoulder‐arm‐like’ shape. The Spearman correlation coefficient between the logarithm of the calculated sensitivity and the logarithm of 1‐specificity was 0.167 ( P = 0.693), indicating that heterogeneity was not caused by threshold effects. A forest plot was drawn and the Cochran‐Q test was applied to calculate the I 2 value for heterogeneity assessment, sensitivity had a Cochran‐Q of 96.17 ( P = 0.00) and I 2 of 92.72 (95% CI: 89.08–96.36), and specificity had a Cochran‐Q of 201.88 ( P = 0.00) and I 2 of 96.53 (95% CI: 95.15–97.92), indicating that the sensitivity and specificity of the eight included studies were highly heterogeneous.

The sources of heterogeneity were identified by meta‐regression analysis, and covariates were selected as follows: (i) number of patients (>100 and <100); (ii) study design (prospective and retrospective studies); (iii) ethnicity (Asians vs. Europeans and Americans); (iv) cut‐off threshold (≥7 and <7); and (v) detection time point of hs‐cTnT (3–6 and <3 or >6 months). As shown in Table 2 , ethnicity and detection time point of hs‐cTnT were the main sources of heterogeneity. Subgroup analyses also showed that when the detection time point was 3–6 months, the AUC increased from the aforementioned value of 0.83 (95% CI: 0.80–0.86) to 0.90 (95% CI: 0.87–0.92), indicating a better diagnostic performance. In further sensitivity analyses after excluding the data of Finke et al ., the pooled sensitivity was 0.75 (95% CI: 0.59–0.86) with a Cochran‐Q of 8.63 and I 2 of 30.46 (95% CI: 0.00–89.58) ( P = 0.20), and the pooled specificity was 0.79 (95% CI: 0.64–0.89) with a Cochran‐Q of 44.50 and I 2 of 86.52 (95% CI: 77.86–95.17) ( P = 0.00). Sensitivity heterogeneity was significantly reduced, suggesting that the study by Finke et al . might be a major source of heterogeneity. The Deeks' funnel plot was largely symmetrical ( P = 0.74), indicating no publication bias ( Figure 5 ).

Table 2
Meta‐regression analysis
CI, confidence interval.

Covariate/subgroupStudies, nSensitivity (95% CI)P ‐valueSpecificity (95% CI)P ‐value
Number of patients included0.180.26
>10020.83 (0.70–0.96)0.54 (0.32–0.75)
<10060.76 (0.60–0.91)0.80 (0.70–0.91)
Study design0.580.39
Prospective60.72 (0.61–0.83)0.79 (0.63–0.94)
Retrospective20.92 (0.87–0.98)0.67 (0.37–0.97)
Ethnicity0.630.01
Asian40.77 (0.58–0.97)0.84 (0.73–0.95)
European and American40.79 (0.66–0.91)0.62 (0.46–0.78)
Cut‐off threshold (ng/L)0.800.68
≥760.78 (0.64–0.91)0.76 (0.61–0.91)
<720. 79 (0.57–1.00)0.72 (0.42–1.00)
Time (months)0.660.05
3–640.77 (0.59–0.95)0.84 (0.71–0.97)
<3 or >640.79 (0.65–0.93)0.65 (0.48–0.83)
Figure 5 Publication bias. The Deeks' funnel plot was largely symmetrical ( P = 0.74); hence, publication bias was not observed. ESS, effective sample size.
Figure 5 Publication bias. The Deeks' funnel plot was largely symmetrical ( P = 0.74); hence, publication bias was not observed. ESS, effective sample size.

The PLR of hs‐cTnT for CTRCD diagnosis was 3.1 (95% CI: 1.8–5.4), NLR was 0.29 (95% CI: 0.17–0.50), and pre‐test probability was set at 25% (the median of the included studies) to draw the Fagan nomogram. The results are shown in Figure 6 . The pre‐test and post‐test probabilities were 51% and 9%, respectively, indicating that the possibility of cardiotoxicity increased from 25% to 51% after hs‐cTnT diagnosis and that the possibility of no cardiotoxicity decreased from 25% to 9%. As such, the hs‐cTnT test could improve the accuracy of CTRCD diagnosis.

Figure 6 Fagan plot of pre‐test and post‐test probabilities of high‐sensitivity cardiac troponin T (hs‐cTnT). The positive likelihood ratio of hs‐cTnT for cancer treatment‐related…
Figure 6 Fagan plot of pre‐test and post‐test probabilities of high‐sensitivity cardiac troponin T (hs‐cTnT). The positive likelihood ratio of hs‐cTnT for cancer treatment‐related cardiac dysfunction diagnosis was 3.1 [95% confidence interval (CI): 1.8–5.4], negative likelihood ratio was 0.29 (95% CI: 0.17–0.50), and pre‐test probability was set at 25% (the median of the included studies) to draw the Fagan nomogram. The pre‐test and post‐test probabilities were 51% and 9%, respectively, indicating that the possibility of cardiotoxicity increased from 25% to 51% after hs‐cTnT diagnosis and that the possibility of no cardiotoxicity decreased from 25% to 9%. LR_Negative, negative likelihood ratio; LR_Positive, positive likelihood ratio.

Discussion

This meta‐analysis evaluated the early diagnostic value of hs‐cTnT in CTRCD. The results showed that elevated hs‐cTnT levels had a high early diagnostic value for CTRCD (AUC = 0.90) at 3–6 months after the initiation of anthracyclines, trastuzumab, anthracyclines in combination with trastuzumab, ICIs, and radiotherapy in combination with anthracyclines.

Our meta‐analysis of hs‐cTnT for CTRCD diagnosis showed a combined sensitivity of 0.78 (95% CI: 0.64–0.88), specificity of 0.75 (95% CI: 0.59–0.86), and AUC of 0.83 (95% CI: 0.80–0.86), suggesting a moderate diagnostic performance. However, when the detection time point was 3–6 months, the AUC increased to 0.90 (95% CI: 0.87–0.92), indicating a high early diagnostic value. This finding is consistent with results of previous studies. 11 , 13 , 15 , 28 Meta‐regression analysis showed that ethnicity and detection time point of hs‐cTnT were the main sources of heterogeneity, and sensitivity analysis showed that I 2 for sensitivity and specificity decreased to 30.46 (95% CI: 0.00–89.58) and 86.52 (95% CI: 77.86–95.17), respectively, after the exclusion of the study by Finke et al . 20 This observation might result from different cut‐off thresholds, study designs, patient populations, and treatments. Hs‐cTnT had a PLR of 3.1 (95% CI: 1.8–5.4) and an NLR of 0.29 (95% CI: 0.17–0.50) for CTRCD diagnosis, suggesting that although the accuracy of diagnosing CTRCD patients was 3.1 times higher than that of judging healthy subjects, 29% of CTRCD patients might be missed. The Fagan line plot of clinical applicability evaluation showed that when the pre‐test probability (CTRCD prevalence) was assumed to be 25%, the positive post‐test probability (probability of CTRCD occurring when the test was positive) of hs‐cTnT increased to 51%, and the negative post‐test probability (probability of CTRCD occurring when the test was negative) decreased to 9%, suggesting that clinical assessment of hs‐cTnT could improve the diagnostic rate of CTRCD.

In a cardiotoxicity assay of 35 patients with non‐Hodgkin's lymphoma (NHL) receiving chemotherapy with cyclophosphamide, adriamycin, vincristine, and prednisone (CHOP), the overall hs‐cTnT levels had increased significantly during the fourth cycle of chemotherapy (every 21 days) when LVEF did not show any abnormalities. 15 In a study of 225 patients with non‐small cell lung cancer (NSCLC), elevated hs‐cTnT levels during concurrent dual chemotherapy with platinum and paclitaxel and chest radiotherapy were dependent on radiation heart dose. Hs‐cTnT levels were associated with CTRCD and mortality, and routine monitoring of hs‐cTnT could identify patients at high risk of CTRCD due to radiotherapy at an early stage. 29 The study by Finke et al . showed that echocardiography in combination with hs‐cTnT for CTRCD diagnosis, with a low hs‐cTnT cut‐off value of 7 ng/L, could identify patients with high mortality risk, suggesting that monitoring hs‐cTnT values before chemotherapy initiation could be an important tool for mortality risk stratification in cancer patients. 21 Because acute myocardial infarction due to myocyte ischaemia and hypoxia could lead to myocardial cell necrosis and destruction of cell membranes and organelles, the release of troponin into the bloodstream can be detected. Possible pathophysiological causes of troponin elevation in patients with CTRCD include 30 excitation/contraction coupling and/or alterations in intracellular calcium homeostasis and/or mitochondrial function, leading to cardiomyocyte dysfunction; altered cardiac pre‐loading and post‐loading conditions; and alterations in extracellular matrix composition. 31 , 32 The injury in CTRCD begins at the cellular level before abnormal cardiac function. The ability of hs‐cTnT to accurately identify small changes in troponin concentration (increase or decrease) within a short time period provides greater analytical accuracy and clinical sensitivity for acute myocardial injury and, thus, allows identification of early myocardial injury at the cellular level. 33

Echocardiography is currently the first choice for CTRCD diagnosis, which is non‐invasive and convenient. 3 , 4 , 10 However, echocardiography has a large variability in measuring LVEF and overall longitudinal strain. Several studies showed that echocardiography results were only reduced in the presence of critical myocardial injury and cardiac dysfunction. 34 After echocardiographic diagnosis of CTRCD and therapeutic interventions, up to 58% of patients still failed to recover. 35 Meanwhile, electrocardiogram (ECG) is a non‐invasive technique and has advantages in determining the presence of arrhythmias (such as atrial fibrillation, long QT, and premature beats) in CTRCD patients. However, patients often have severe myocardial injury by the time they present with ST‐segment changes, and its diagnosis of myocardial injury has a delay. Myocardial nuclear imaging can show myocardial perfusion abnormalities, myocardial apoptosis, and cardiac function for early CTRCD diagnosis in cancer patients after treatment. 4 However, this technique has been performed less frequently and there is less evidence from clinical studies. Galán‐Arriola et al . used cardiac MRI for the early diagnosis of cardiotoxicity in pigs treated with anthracyclines and found that cardiac MRI could be used to monitor the stage of myocardial oedema in pigs treated with doxorubicin, and the progression of this stage could be stopped after withdrawing doxorubicin treatment. This observation indicated that cardiac MRI could monitor the early reversible stage of cardiotoxicity caused by treatment with anthracyclines. 6 In a prospective study, hs‐cTnT was reportedly increased from 4.6 ± 1.4 ng/dL before treatment to 21.3 ± 14.4 ng/dL ( P < 0.01) in women with breast cancer in the early phase of treatment with anthracyclines (during Days 79–146), whereas cardiac MRI showed a decrease in LVEF from 69.4 ± 3.6% before treatment to 58.0 ± 6.0% ( P < 0.001). The 12% decrease suggested that cardiac MRI can monitor CTRCD patients with elevated hs‐cTnT and no significant changes in cardiac function. 5 Although cardiac MRI has the advantage of early monitoring of CTRCD, its clinical application is somewhat limited due to its high cost and difficulty in obtaining continuous monitoring. In conclusion, for CTRCD diagnosis, echocardiography and electrocardiography have a lag, and myocardial nuclear imaging and cardiac MRI can monitor CTRCD at an early stage, but with limitations in clinical implementation. Therefore, hs‐cTnT is more advantageous than other diagnostic tools for early CTRCD diagnosis.

This study had some limitations. First, the number of studies and patients included in the meta‐analysis was small, and all tumour types and antitumor treatments were included in a generalized manner, whereas the effects of different tumour types and treatments on the results were not examined in detail. Second, there was a risk of bias in terms of literature quality, and the included studies had a high risk of bias in the Index Test and Flow and Timing domains, mainly because some studies did not provide blinded information on hs‐cTnT and did not pre‐define hs‐cTnT thresholds or failed to detect hs‐cTnT and LVEF at appropriate intervals, nor did they examine patients under the same gold standard, nor did they include all patients in statistical analyses. Therefore, the quality of the included studies must be improved. Third, the included patients were free of cardiovascular disease before anticancer therapy, which might have caused the underestimation of the cardiotoxicity risk resulting from anticancer therapy. Fourth, the instruments used to test hs‐cTnT in the eight studies were from different distributors, and the instrument models were not identical, which may have impacted the test results. Fifth, we failed to determine the optimal cut‐off value for diagnosis, which is quite difficult in clinical practice and needs to be determined by future studies. Finally, because of the limited number of relevant studies, this meta‐analysis evaluated the diagnostic accuracy of only one cardiac‐specific biomarker (hs‐cTnT) and did not compare it with other markers of myocardial injury, such as high‐sensitivity cardiac troponin I (hs‐cTnI) and traditional cardiac troponin T (cTnT), which would also have a certain impact on its clinical applicability.

In future research, we will focus on studies of hs‐cTnI for CTRCD diagnosis and compare the ability of hs‐cTnT vs. hs‐cTnI for early CTRCD diagnosis. In addition, we hope to further compare the sensitivity and specificity of hs‐cTnT with conventional cTnT in the diagnosis of CTRCD in order to screen for more sensitive diagnostic indicators. However, because the numbers of patients in their two study groups were significantly unequal, these results need to be further validated. Therefore, we hope to further compare the sensitivity and specificity of hs‐cTnT with those of conventional cTnT for CTRCD diagnosis for the development of a more sensitive diagnostic index. Finally, analysis of the simultaneous use of hs‐cTnT and hs‐cTnI for CTRCD diagnosis may be more beneficial for our next research study.

In conclusion, early (3–6 months) detection of hs‐cTnT showed a high diagnostic value for CTRCD. However, more prospective multicentre studies with rigorous designs and large sample sizes are needed to determine the optimal cut‐off value for CTRCD diagnosis. We hope to combine serum biomarkers with other diagnostic methods for more accurate early CTRCD diagnosis and improve the quality of life and prognosis of cancer survivors.

Conflict of interest

None declared.

Funding

This work was supported by the National Natural Science Foundation of China (Grant Numbers 81873132 and 81860786), the Special Open Project of Gansu Research Center of Traditional Chinese Medicine (No. zyzx‐2020‐zx8), the Lanzhou Science and Technology Plan Project (No. 2022‐3‐27), and the 2018 Chinese Medicine Research Projects to Prevent and Treat Major Diseases (No. GZKZD‐2018‐02).

Supporting information

Data S1. Supporting Information.

Click here for additional data file.

Acknowledgements

We thank the researchers working in cardiac oncology.

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ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты