Literature DB >> 35645806

Treatment-Related Coronary Disorders of Fluoropyrimidine Administration: A Systematic Review and Meta-Analysis.

Yajie Lu1, Shizhou Deng1, Qiongyi Dou1, Wei Pan1, Qingqing Liu1, Hongchen Ji1, Xiaowen Wang1, Hong-Mei Zhang1.   

Abstract

Background: Coronary disorders are recognized as the most common manifestation of fluoropyrimidine-related cardiotoxicity in clinical practice. However, there are limited and conflicting data on the incidence and profiles of fluoropyrimidine-related coronary disorders. In this meta-analysis, we aimed to systematically assess the incidence of all-grade and grade 3 or higher fluoropyrimidine-related coronary disorders, and further explore the factors that influence its occurrence.
Methods: Studies reporting the fluoropyrimidine-related coronary disorders were retrieved from a systematic search of English literature in the PubMed, Web of Science, Medline, and Cochrane database from 1 Jan 2001, to 1 Jan 2022. The NIH assessment tool was used to evaluate the quality of each study. The data of basic study characteristics, treatment details, and results of coronary toxicities were extracted. According to the results of the heterogeneity test (I2 and p-value statistic), a random-effect model or fixed-effect model was selected for the pooled analysis of the incidence of adverse coronary events. Subgroup analysis was conducted to further explore the risks influencing the occurrence of fluoropyrimidine-related coronary disorders. The stability and publication bias of our results were evaluated by sensitivity analysis and Egger test, respectively.
Results: A total of 63 studies were finally included in our pooled analysis, involving 25,577 patients. The pooled cumulative incidence of all-grade and grade 3 or higher coronary disorders was 2.75% (95% CI 1.89%-3.76%) and 1.00% (95% CI 0.62%-1.47%), respectively. The coronary disorders were most reported as myocardial ischemia (1.28%, 95% CI 0.42%-2.49%) and angina/chest pain (1.1%, 95% CI 0.54%-1.81%). Subgroup analysis revealed that studies in the female-only population seemed to have a lower incidence of fluoropyrimidine-related coronary disorders. The occurrence of adverse coronary events varied among different tumor types. Patients with esophageal cancer have the highest coronary toxicity (6.32%), while those with breast cancer have a relatively lower incidence (0.5%). Coronary disorders induced by 5-FU monotherapy are more frequent than that induced by capecitabine (3.31% vs. 1.21%, p < 0.01). Fluoropyrimidine combination therapy, whether combined with other chemotherapy drugs, targeted therapy drugs, or radiotherapy, significantly increased the incidence of coronary complications (p < 0.01).
Conclusion: This meta-analysis has defined the incidence of fluoropyrimidine-related coronary disorders and depicted its epidemiological profiles for the first time, which may provide a reference for clinical practice in cancer management.
Copyright © 2022 Lu, Deng, Dou, Pan, Liu, Ji, Wang and Zhang.

Entities:  

Keywords:  5-FU; capecitabine; coronary disorder; fluoropyrimidine; meta-analysis

Year:  2022        PMID: 35645806      PMCID: PMC9140752          DOI: 10.3389/fphar.2022.885699

Source DB:  PubMed          Journal:  Front Pharmacol        ISSN: 1663-9812            Impact factor:   5.988


Introduction

With the continuous development of chemotherapy, radiotherapy, and new treatment technologies, the survival of cancer patients has been greatly improved. Meanwhile, the cardiovascular toxicity related to anti-tumor therapy has become increasingly prominent, which is one of the important causes of death due to treatment-related complications (Curigliano et al., 2016). Cardio-Oncology, an emerging interdisciplinary field, focuses on cardiovascular disease in cancer patients, and has developed rapidly in recent years (Koutsoukis et al., 2018). The incidence and spectrum of cardiotoxicity vary widely by chemotherapeutic regimens. The cardiotoxicity of anthracyclines has been extensively studied and highly concerned over the past 2 decades (Lotrionte et al., 2013; Smith et al., 2010). However, fluoropyrimidine (5-fluorouracil (5-FU), capecitabine, S-1, Tas102, etc.) induced cardiotoxicity has not been attracted equal attention. The coronary disorder is one of the typical adverse reactions induced by chemotherapy agents, such as 5-FU and capecitabine, which often refers to the transient contraction of coronary artery and thrombus formation, causing varying degrees of myocardial ischemia, and resulting in the clinical syndrome of angina pectoris, myocardial infarction, even sudden death (More et al., 2021). Chest pain with typical or atypical angina pectoris is the most prominent manifestation of the coronary disorder, which has directly been visualized during coronary angiography (Baldeo et al., 2018; Das et al., 2019; Gao et al., 2019). Despite some studies that have focused on fluoropyrimidine-induced coronary disorder, most of them were conducted with small samples or just case reports (Karakulak et al., 2016; Ben-Yakov et al., 2017; Sedhom et al., 2017). The reported incidence of fluoropyrimidine-related coronary disorder varies from 0% to 35% (Pai and Nahata, 2000; Sara et al., 2018; Lestuzzi et al., 2020), which is a too wide range to provide valuable reference for clinical practice. In addition, some studies suggested that the occurrence of coronary disorder depended on the different fluoropyrimidine drugs, route of administrations, dosage schedules, and co-administered agents (Depetris et al., 2018; Kanduri et al., 2019). However, there is no consensus on the incidence, profiles, and risk factors of fluoropyrimidine-related coronary disorders. An accurate description of the incidence and epidemiological characteristics of coronary vasospasm is the basis for guiding clinical practice and is very crucial for the early identification and prevention of ischemic events caused by fluoropyrimidines. Obviously, the currently available data are not yet sufficient for drawing definite conclusions. Therefore, in this systematic review and meta-analysis, we are dedicated to comprehensively and systematically evaluating the incidence and epidemiological characteristics of fluoropyrimidine-induced coronary disorders and to further exploring the factors influencing its occurrence using a method of single-rate meta-analysis.

Materials and Methods

The Definition of Coronary Disorder

The coronary disorder of interest in this study was defined as a group of symptoms represented by chest pain syndrome, including angina pectoris, myocardial ischemia, myocardial infarction, and acute coronary syndrome. The fluoropyrimidine-related coronary disorders were recognized by the new occurrence of a chest pain at rest in the presence of recent fluoropyrimidine administration with or without electrocardiogram (ECG) or biomarker changes.

Search Strategy and Selection Criteria

Literature search and study selection were conducted under the PRISMA guidelines. Studies reporting the fluoropyrimidine-related coronary disorders were retrieved from a systematic search of English literature in the PubMed, Web of Science, Medline, and Cochrane database from 1 Jan 2001 to 1 Jan 2022. The search strategy was determined after several pre-retrievals and finally combined the following two sorts of items: 1) “fluoropyrimidine” OR “5-FU” OR “capecitabine” OR “S-1” OR “Tas102”; 2) “cardiotoxicity” OR “coronary vasospasm” OR “chest pain” OR “angina” OR “myocardial ischemia” OR “myocardial infarction” OR “acute coronary syndrome.” Studies had to meet the following inclusion criteria: 1) patients with a diagnosis of solid malignances; 2) articles explicitly reported the coronary disorders as defined above, and it is associated with fluorouracil-containing treatment; 3) the sample size was greater than 20; 4) the full-text was available; 5) prospective or retrospective clinical studies. Reviews, letters, comments, case report, meeting abstract were excluded.

Methodological Quality Assessment and Data Extraction

The quality of included studies was assessed using the quality assessment tool of the National Institutes of Health (NIH) (Nhlbi Study Quality Assessment Tools, 2020, Supplementary Table S1). The reviewers could select “YES,” “NO,” or “Cannot Determine/Not Applicable/Not Reported” for each item in the list. Based on their responses, the quality of each study was graded as “good,” “fair,” or “poor.” The incidences of fluoropyrimidine-related coronary disorders of all-grade and grade 3 or higher were the main outcomes in this meta-analysis. The data of basic characteristics (first-author, publication year, study design, country or region, age, gender, tumor type, and sample size), treatment details (treatment type, line, regimen, and dosage), and the incidence of fluoropyrimidine-related coronary disorders were extracted and documented. Two authors (Lu and Deng) independently searched the literature, assessed the quality of included studies, and extracted and cross-checked the data.

Statistical Analysis

The incidence of fluoropyrimidine-related coronary disorders in each study was shown as a percentage calculated using a division method ( ). The Cochran’s chi-squared test reporting I2 statistic and p-value was used to test heterogeneity, and if heterogeneity exists (I2 > 50% or p < 0.1), a random-effect model was conducted, otherwise, a fixed-effect model was adopted. The pooled incidence was achieved by a single rate meta-analysis method, shown as a proportion and 95 confidence intervals (CI). Subgroup analyses were performed based on study-level characteristics (e.g., publication period, study design, gender, age, tumor, treatment type, regimen, and so on) for all-grade and grade 3 or higher adverse coronary events. Sensitivity analyses were conducted to evaluate the stability of our results. Publication bias was shown by funnel plot symmetry and statistically checked using the Egger test. For all tests, p-values less than 0.05 were considered statistically significant. All the statistical process of this meta-analysis was performed using R software (version 4.0.6, MathSoft, Massachusetts) with “meta,” “rmeta,” and “metafor” packages.

Results

Eligible Studies and Characteristics

A total of 1818 initial records were identified through a literature search. After title and abstract screening and full-text screening, 63 studies were finally included in this meta-analysis, involving 25,577 patients (Figure 1). The included populations covered more than 30 countries around the world, of which 5 were multi-country collaborations. Forty-seven (74.6%) of the 63 included articles were prospective studies, while the remaining 16 (25.4%) were retrospective in design. The tumor spectrum included colorectal cancer (number of studies: n = 25, 39.7%), breast cancer (n = 11, 17.5%), esophagus cancer (n = 4, 6.3%), gastric cancer (n = 3, 4.8%), and others (n = 9, 14.3%), the remaining 11 (17.5%) studies focused on mixed solid malignancies without distinguishing specific tumor categories. The included 63 studies consisted of 92 treatment arms, and their regimens included 5-FU/capecitabine mono chemotherapy (n = 20, 21.7%), 5-FU/capecitabine combined chemotherapy (n = 33, 35.9%), 5-FU/capecitabine based chemotherapy plus targeted therapy (n = 25, 27.2%), 5-FU/capecitabine based chemotherapy plus radiotherapy (n = 6, 6.5%), and the modified fluoropyrimidine agents S1 or TAS 102 (n = 2, 2.2%). According to the NIH quality assessment tools, 29 studies (46%) were rated as high quality, 34 (54%) fair quality, and none was classified as poor (high risk of bias). The detailed characteristics of each included study are shown in Table 1.
FIGURE 1

The flow diagram for literature selection, screening, and inclusion.

TABLE 1

The characteristics of the included 64 studies.

NoAuthorYearCountry/RegionSample sizeStudy designAgeGender (female%)Tumor typeRegimenQualityReferences
1Zafar A2021United States4,019retro58 ± 130.425Mixed malignancies5-FU or Cap basedGood Zafar et al. (2021)
64 ± 130.414
2Mayer IA2021United States198pros52 (26–76)1Breast cancerCapGood Mayer et al. (2021)
3Chakravarthy AB2020United States355pros54.3 ± 11.70.348Rectal cancermFOLFOXFair Chakravarthy et al. (2020)
53.9 ± 9.90.376mFOLFOX + Bev
4Dyhl-Polk A (1)2020Denmark108retro66 (35–81)0.454Colorectal or anal cancerColoretal cancer: 5-Fu or FOLFOXFair Dyhl-Polk et al. (2020a)
Metastatic: FOLFOX or FOLFIRI ± Cet or Pan
Anal cancer: FP + RT
5Delaloge S2020Multi-country628pros18–701Breast cancerTXGood Delaloge et al. (2020)
6Grierson P2020United States16pros66 (42–73)0.563Pancreatic ductal adenocarcinomaCap + TosedostatFair Grierson et al. (2020)
7Dyhl-Polk A (2)2020Denmark2,236retro65 (21–85)0.447Colorectal cancer5-FU basedGood Dyhl-Polk et al. (2020b)
70 (22–93)0.471Cap based
8Raber I2019United States177retro54–770.452Mixed malignancies5-FU or Cap basedFair Raber et al. (2019)
9Jin X2019China129retro>180.217Gastric cancer5-FU or Cap or S-1 basedFair Jin et al. (2019)
10Primrose JN2019United Kingdom213pros62 (55–68)0.5Biliary tract cancerCapGood Primrose et al. (2019)
11Abdel-Rahman O2019Canada3,223pros60.7 (11.4)0.403Colorectal cancerFOLFOX or 5-FU based + Bev and/or PanGood Abdel-Rahman, (2019)
12Hayashi Y2019Japan80pros66.5 (62–73)0.113Esophageal cancer5-FU/cisplatin + RTFair Hayashi et al. (2019)
13Peng J2018China527pros57 (23–87)0.339Mixed malignancies5-FU or Cap basedGood Peng et al. (2018)
14Chen EY2018China47pros59.7 (21.4–80.1)0.276Colorectal cancerFOLFIRI + CelecoxibGood Chen et al. (2018)
15Kwakman JJM2017Netherlands1973prosNANAColorectal cancerCap mono or based ± BevGood Kwakman et al. (2017)
16Turan T2017Turkey32pros570.303Mixed malignancies5-FU basedGood Turan et al. (2017)
17Leicher LW2017Netherland86retro69 (45–83)0.523Colorectal cancerCapFair Leicher et al. (2017)
18Zhang P2017China397pros25–701Breast cancerCap + UtideloneGood Zhang et al. (2017)
Cap
19Kerr RS2016Multi-country1941pros65 (58–71)0.427 0.429Colorectal cancerCap + BevGood Kerr et al. (2016)
Cap
20Winther SB2016Norway71retro67–870.408Colorectal cancerSOX or S-1Fair Winther et al. (2016)
21Polk A2016Denmark452retro63 (28–88)1Breast cancerCap + TraFair Polk et al. (2016)
22Mayer RJ2015United States534pros63 (27–82)0.389Colorectal cancerTAS102Good Mayer et al. (2015)
23Lestuzzi C2014Germany358pros57.5 (23–80)NAMixed malignancies5-FU or 5-FU basedFair Lestuzzi et al. (2014)
24Tonyali O2013Turkey37retro46 (30–75)1Breast cancerTX + TraFair Tonyali et al. (2013)
25Okines AFC2013United Kingdom120pros62 (56–67)0.321Gastro-esophageal adenocarcinomaECXGood Okines et al. (2013)
64 (56–69)0.182ECX + Bev
26Khan MA2012Pakistani301retro47 (18–81)0.249Mixed malignancies5-FU or 5-FU/Cap basedFair Khan et al. (2012)
27Martin M2012Multi-country88Pros53 (32–82)0.988Breast cancerCap + Bev + TraFair Martin et al. (2012)
28Petrini L2012Italy39pros67 (41–83)0.154Hepatocellular carcinoma5-FU + SorafenibGood Petrini et al. (2012)
29Koca D2011Turkey52pros590.75Mixed malignanciesCap or Cap based + LapFair Koca et al. (2011)
30Jensen SA2010Denmark106pros64 (37–81)0.556Colorectal cancerFOLFOX4Good Jensen et al. (2010)
31Masi G2010Italy57pros61 (34–75)0.4Colorectal cancerFOLFOXIRI + BevGood Masi et al. (2010)
32Michalaki V2010Greece29pros52 (34–70)1Breast cancerTX + TraGood Michalaki et al. (2010)
33Chua YJ2010Australia105pros64 (54–70)0.46Rectal cancerXELOXGood Chua et al. (2010)
34Baur M2010Austria71pros62 (39–84)0.394Rectal cancer5-FU basedFair Baur et al. (2010)
35Joensuu H2009Multi-country231pros≤651Breast cancer5-FU based + TraGood Joensuu et al. (2009)
5-FU based
36Skof E2009Slovenia87pros63 (47–75)0.366Colorectal cancerXELIRIGood Skof et al. (2009)
62 (34–75)FOLFIRI
37Ardavanis A2008Greece34retro69.5 (37–83)0.47Colorectal cancerCapIRI + BevFair Ardavanis et al. (2008)
38Kosmas C2008Greece644pros66 (56–70)NAMixed malignancies5-FU based or Cap basedGood Kosmas et al. (2008)
39Yamamoto D2008Japan59pros55 (42–70)1Breast cancerCap + TraGood Yamamoto et al. (2008)
40Machiels JP2007Belgium40pros61 (34–78)0.33Rectal cancerCap + Cet + RTFair Machiels et al. (2007)
41Giantonio BJ2007United States572pros62 (21–85)0.395Colorectal cancerFOLFOX4 +BevGood Giantonio et al. (2007)
60.8 (25–84)0.392FOLFOX4
42Yilmaz U2007Turkey27pros54 (19–70)0.444Gastrointestinal cancerLV5FU2Fair Yilmaz et al. (2007)
43Emmanouilides C2007Greece53pros65 (18–78)0.434Colorectal cancerFOLFOX + BevFair Emmanouilides et al. (2007)
44Geyer CE2006United States324pros54 (26–80)1Breast cancerCap + LapGood Geyer et al. (2006)
51 (28–83)Cape
45Mambrini A2006Italy211pros61 (21–79)NAPancreatic cancerFECGood Mambrini et al. (2006)
46Koopman M2006Netherland393pros64 (27–84)0.373Colorectal cancerCapGood Koopman et al. (2006)
63 (35–79)0.396CapIRI
47Jensen SA2006Denmark668retroNANAColorectal or gastric cancersCapFair Jensen and Sorensen, (2006)
Cap/Capatin/Docetaxel
5-FU
LV5FU2
FOLFOX-4
48Yerushalmi R2006Israel89retro66 (25–82)0.418Rectal cancerCap + RTFair Yerushalmi et al. (2006)
62 (23–81)0.55-FU + RT
49Giordano KF2006United States44pros57 (32–77)0.114Gastric or gastro-esophageal junction adenocarcinomaTXFair Giordano et al. (2006)
50Jatoi A2006United States46pros61 (32–80)0.116Esophageal or gastro-esophageal junction adenocarcinomaXELOXFair Jatoi et al. (2006)
51Baghi M2006Germany24pros60 (23–79)0.042Head and neck squamous cell carcinomaTPFFair Baghi et al. (2006)
562Meydan N2005Turkey231retro59 (23–87)0.402Mixed malignanciesLV5FU2Fair Meydan, (2005)
53Lordick F2005Germany48pros62 (41–75)0.187Gastric cancerFUFOXFair Lordick et al. (2005)
54Ng M2005United Kingdom153pros33–810.412Colorectal cancerCapeOxGood Ng et al. (2005)
55Feliu J2005Spain51pros76 (71–89)0.392Colorectal cancerCapFair Feliu et al. (2005)
56Wacker A2003Germany102pros61.7 (39–78)0.311Mixed malignancies5-FU or 5-FU basedFair Wacker et al. (2003)
57Vaishampayan UN2002United States32retro67.5 (45–84)0.375Gastrointestinal cancerCap + RTFair Vaishampayan et al. (2002)
58Tsavaris N2002Greece427retroNANAMixed malignancies5-Fu basedFair Tsavaris et al. (2002)
59Van Cutsem E2002Switzerland1,425prosNANAColorectal cancerLV5FU2Fair Van Cutsem et al. (2002)
NAColorectal cancerCap
NABreast cancerCap
60Hartung G2001Germany51pros60 (24–77)0.25Colorectal cancerLV5FU2Fair Hartung et al. (2001)
61Dencausse Y2001Germany21pros30–800.333Rectal cancerLV5FU2+RTFair Dencausse et al. (2001)
62Peiffert D2001France80pros≤750.837Anal cancerFP + RTFair Peiffert et al. (2001)
63Hoff PM2001Multi-country605pros64 (23–86)0.40Colorectal cancerCapGood Hoff, (2001)
63 (24–87)0.35LV5FU2

Notes: a, Mixed malignancies: including two or more tumor types, such as breast cancer, colorectal cancer, gastric cancer, head and neck cancer, and so on; NA: not available; RT: radiotherapy; Cap: Capecitabine; Bev: Bevacizumab; Cet: Cetuximab; Pan: Panitumumab; Tra, Trastuzumab; Lap, Lapatinib.

The flow diagram for literature selection, screening, and inclusion. The characteristics of the included 64 studies. Notes: a, Mixed malignancies: including two or more tumor types, such as breast cancer, colorectal cancer, gastric cancer, head and neck cancer, and so on; NA: not available; RT: radiotherapy; Cap: Capecitabine; Bev: Bevacizumab; Cet: Cetuximab; Pan: Panitumumab; Tra, Trastuzumab; Lap, Lapatinib.

The Incidence of 5-Fluorouracil Associated Coronary Artery Disorders

Using a random-effect model, the pooled incidence of all-grade fluoropyrimidine-related coronary disorders among 22,939 cases from 59 studies was 2.75% (95% CI 1.89%–3.76%) (Figure 2A). Thirty-three studies reported the incidence of grade 3 or higher fluoropyrimidine-related coronary disorders, involving a total of 14,135 cases, The pooled incidence of grade 3 or higher coronary disorders by meta-analysis, was 1.00% (95% CI 0.62%–1.47%) (Figure 2B).
FIGURE 2

Forest plot of the incidence of fluoropyrimidine-related coronary disorders. (A) the pooled incidence of all-grade adverse coronary events, by a random-effect model analysis, was 2.75% (95% CI 1.89%–3.76%); (B) the pooled incidence of grade 3 or higher adverse coronary events, by a random-effect model analysis, was and 1.00% (95% CI 0.62%–1.47%).

Forest plot of the incidence of fluoropyrimidine-related coronary disorders. (A) the pooled incidence of all-grade adverse coronary events, by a random-effect model analysis, was 2.75% (95% CI 1.89%–3.76%); (B) the pooled incidence of grade 3 or higher adverse coronary events, by a random-effect model analysis, was and 1.00% (95% CI 0.62%–1.47%).

Specific Reported Events of Coronary Disorders

Coronary disorders were frequently reported as angina/chest pain, myocardial infarction, myocardial ischemia, and acute coronary syndrome in our included literature. As shown in Figure 3, myocardial ischemia and angina/chest pain were the two most common adverse events, which have a pooled incidence of 1.28% (95% CI 0.42%–2.49%) and 1.1% (95% CI 0.54%–1.81%), respectively. Myocardial infarction and the acute coronary syndrome were less reported, with a pooled incidence of 0.38% (95% CI 0.16%–0.67%) and 0.14% (0–0.56%), respectively. Fourteen studies reported the typical ST-T changes on ECG with or without symptomatic coronary toxicities. A random-effect meta-analysis gave a pooled incidence of ST-T changes of 4.77% (95% CI 3.12%–7.28%), significantly higher than the incidence of adverse coronary events (2.75%). The changes of cardiac-specific serum enzymes were reported in 10 studies, including troponin, CK-MB, myoglobin, BNP, and copeptin, and the pooled overall incidence was 1.98% (95% CI 0.9%–4.36%).
FIGURE 3

The pooled incidence of specific reported events of coronary disorders. * a pooled incidence of 4.77% (95% CI 3.12%–7.28%), containing ST-T changes on ECG with or without symptomatic coronary toxicities.

The pooled incidence of specific reported events of coronary disorders. * a pooled incidence of 4.77% (95% CI 3.12%–7.28%), containing ST-T changes on ECG with or without symptomatic coronary toxicities.

Subgroup Analyses

Subgroup analyses were conducted to compare the incidence of all-grade and grade 3 or higher coronary disorders among different study-level moderators, and further identify the factors influencing the occurrence of adverse coronary events. The pooled incidence and 95% CI of coronary events in each subgroup were shown in Table 2, as well as the results of statistical comparisons between subgroups. A significant difference was identified among different publication periods (p = 0.02) for the incidence of all-grade coronary events, but not statistically significant for grade 3 or higher events (p = 0.65). We did not observe an obvious difference between prospective and retrospective study designs (all-grade: p = 0.58, grade 3 or higher: p = 0.21), nor between phase Ⅱ and phase Ⅲ clinical trials (all-grade: p = 0.24, grade 3 or higher: p = 0.18). There was also no significant difference between studies with good-quality and fair-quality (p = 0.43) for all-grade events, however, the good-quality studies had lower pooled incidence than fair-quality studies for the assessment of grade 3 or higher coronary events (p < 0.01). Notably, the female-only population (with breast cancer) reported lower pooled incidence than general populations, both in the assessment of all-grade (p < 0.01) and grade 3 or higher (p < 0.01) coronary disorders.
TABLE 2

The pooled incidence of coronary disorder in each subgroup and the comparison results.

SubgroupAll-grade adverse coronary eventsGrade 3 or higher adverse coronary events
Sample size (N)Incidence (95%CI)Comparison resultsSample size (N)Incidence (95%CI)Comparison results
Publication period
 2001–20051,1964.27% (2.16%–7.06%)χ2 = 10.15, p = 0.02*1,3290.92% (0.00%–3.26%)χ2 = 1.64, p = 0.65
 2006–20103,1901.28% (0.65%–2.13%)17671.12% (0.25%–2.40%)
 2011–20151,6353.05% (0.93%–6.31%)8100.58% (0.00%–3.11%)
 2016–202216,9783.37% (1.66%–5.65%)8,8040.72% (0.29%–1.28%)
Study design
 Prospective study13,9503.02% (1.88%–4.42%)χ2 = 0.31, p = 0.5811,7390.67% (0.26%–1.20%)χ2 = 1.55, p = 0.21
 Retrospective study9,0492.62% (1.98%–3.34%)9711.42% (0.30%–3.08%)
Phase for clinical trials
 Ⅱ9381.93% (1.14%–2.92%)χ2 = 1.41, p = 0.247110.15% (0.38%–2.62%)χ2 = 1.76, p = 0.18
 Ⅲ7,6171.18% (0.49%–2.16%)8,5760.69% (0.29%–1.09%)
Study quality
 Good18,3852.12% (1.08%–3.48%)χ2 = 1.67, p = 0.4310,9700.58% (0.20%–1.10%)χ2 = 9.32, p<0.01*
 Fair4,1623.35% (2.03%–4.98%)17401.51% (0.70%–2.54%)
Age
 No limitation22,7972.75% (1.87%–3.79%)χ2 = 0.04, p = 0.8412,6390.78% (0.35%–1.33%)χ2 = 1.07, p = 0.30
 Old2022.17% (0.00%–10.00%)710.00% (0.00%–5.06%)
Gender
 All20,5563.48% (2.44%–4.70%)χ2 = 18.59, p < 0.01*11,2041.09% (0.53%–1.78%)χ2 = 15.75, p < 0.01*
 Female-only2,3550.61% (0.15%–1.37%)1,4180.09% (0.00%–0.43%)
Tumor type
 Esophagus cancer2446.32% (3.62%–9.71%)χ2 = 47.59, p<0.01*2903.51% (1.51%–6.14%)χ2 = 34.41, p<0.01*
 Colorectal cancer12,5532.69% (1.57%–4.09%)10,4030.94% (0.39%–1.67%)
 Gastric cancer1772.26% (0.59%–4.96%)1772.13% (0.31%–5.05%)
 Pancreatic cancer2271.64% (0.00%–6.13%)166.25% (0.16%–30.23%)
 Breast cancer2,4430.50% (0.11%–1.16%)1,5060.01% (0.00%–0.27%)
 Biliary tract cancer2230.45% (0.01%–2.47%)2230.45% (0.01%–2.47%)
 Othersa
Treatment type
  Adjuvant3,7031.36% (0.16%–3.36%)χ2 = 2.01, p = 0.373,3660.94% (0.32%–1.88%)χ2 = 3.84, p = 0.15
  Neoadjuvant5492.86% (1.50%–4.56%)3802.65% (1.16%–4.71%)
  For advanced/metastasis/relapse disease9251.70% (0.72%–2.97%)9331.10% (0.27%–2.48%)
Regimen
  5-FU monotherapy4843.31% (1.46%–5.87%)χ2 = 28.65, p < 0.01*1,3800.92% (0.00%–3.04%)χ2 = 15.79, p = 0.07
  Capecitabine monotherapy2,6271.21% (0.34%–2.59%)3,0590.75% (0.03%–1.36%)
  5-FU combined chemotherapy2,9934.31% (2.05%–7.35%)7061.2% (0.00%–4.31%)
  Capecitabine combined chemotherapy3,9562.69% (1.09%–4.98%)17110.69% (0.00%–2.14%)
  5-FU based/targeted therapy3361.46% (0.46%–3.02%)6230.83% (0.14%–1.87%)
  Capecitabine based/targeted therapy3,1772.85% (1.75%–4.20%)2,4831.22% (0.46%–2.24%)
  5-FU based/radio1815.10% (1.58%–10.48%)214.76% (0.12%–23.82%)
  Capecitabine based/radio752.65% (0.25%–7.47%)323.12% (0.08%–16.22%)
  S-1710.00% (0.00%–5.06%)710.00% (0.00%–5.06%)
  TAS 1025340.56% (0.12%–1.63%)5340.19% (0.00%–1.04%)

Notes: *p < 0.05; a, “others” including liver cancer, gastrointestinal cancer, and head and neck cancer.

The pooled incidence of coronary disorder in each subgroup and the comparison results. Notes: *p < 0.05; a, “others” including liver cancer, gastrointestinal cancer, and head and neck cancer. The pooled incidence of coronary disorders for all-grade or grade 3 or higher varied between tumor types (all-grade: p < 0.01, grade 3 or higher: p < 0.01). Fluoropyrimidine-related coronary disorders were most frequently in the treatment of esophageal cancer, with the all-grade incidence of 6.32% (95% CI 3.62%–9.71%). Fluoropyrimidines in the treatment of breast cancer, however, occupied the relatively lower coronary complications (all-grade: 0.50%, 95% CI 0.11%–1.16%) than colorectal cancer (all-grade: 2.69%, 95% CI 1.57%–4.09%) and esophagus cancer. The effect of treatment parameters on the incidence of coronary events was also analyzed. As a result, the administrations of fluoropyrimidine as neoadjuvant chemotherapy, adjuvant chemotherapy, or palliative treatment for advanced/metastasis/relapse disease did not significantly affect the occurrence of coronary events (all-grade: p = 0.37; grade 3 or higher: p = 0.15). However, the treatment regimen is closely related to the occurrence of coronary disorders (all-grade: p < 0.01; grade 3 or higher: p = 0.07). Coronary disorder induced by 5-FU is more frequent than that induced by capecitabine, both for all-grade (3.31% vs. 1.21%) and grade 3 or higher (0.92% vs. 0.75%). The 5-FU or capecitabine combined chemotherapy had a higher incidence of coronary events than 5-FU or capecitabine monotherapy (5-FU: 4.31% vs. 3.31%; capecitabine: 2.69% vs. 1.21%). The addition of targeted therapy drugs (e.g., bevacizumab, cetuximab, and trastuzumab) to capecitabine increased the risk of coronary disorder (all-grade; 2.85% vs. 1.21%; grade 3 or higher: 1.22% vs. 0.75%). Similarly, the addition of radiotherapy resulted in a significant increase in coronary toxicity, both for 5-FU (all-grade: 5.1% vs. 3.3%, grade 3 or higher: 4.76% vs. 0.92%) and capecitabine (all-grade: 2.65% vs. 1.21%, grade 3 or higher: 3.12% vs. 0.75%). Novel fluoropyrimidines, S-1 and Tas 102, demonstrated lower coronary toxicity (S-1: 0; Tas102: 0.56%), however, such data were derived from a limited number of studies.

Sensitive Analyses and Publication Bias

Sensitivity analyses were performed for the main outcome measures, all-grade and grade 3 or higher incidence of coronary disorders. In the all-grade and grade 3 or higher analyses, the variation of the pooled results after removing studies one by one was 2.64%–2.86% and 0.92%–1.07%, respectively (Figure 4), indicating that the conclusions of this meta-analysis were stable and reliable. The funnel plots and Egger tests did not show existing significant publication bias in the evaluation of all-grade and grade 3 or higher coronary disorder in this meta-analysis (Figure 5).
FIGURE 4

The results of sensitive analysis. (A) the sensitive analysis of the incidence of all-grade coronary disorders indicated a variation between 2.64% and 2.86%; (B) the sensitive analysis of the incidence of grade 3 or higher coronary disorders indicated a variation between 0.92% and 1.07%.

FIGURE 5

Funnel plot and Egger test evaluating the publication bias of studies. The p-values of Egger test for all-grade and grade 3 or higher coronary disorder were 0.92 and 0.91, respectively, suggesting no significant publication bias.

The results of sensitive analysis. (A) the sensitive analysis of the incidence of all-grade coronary disorders indicated a variation between 2.64% and 2.86%; (B) the sensitive analysis of the incidence of grade 3 or higher coronary disorders indicated a variation between 0.92% and 1.07%. Funnel plot and Egger test evaluating the publication bias of studies. The p-values of Egger test for all-grade and grade 3 or higher coronary disorder were 0.92 and 0.91, respectively, suggesting no significant publication bias.

Discussion

Fluoropyrimidine, as a well-known class of pyrimidine antimetabolites, has been used in cancer treatment for more than half a century. Although numerous therapeutic strategies have been introduced in recent years, such as targeted therapy (Bedard et al., 2020), antiangiogenic therapy, and immunotherapy (Hegde and Chen, 2020), fluoropyrimidines are still one of the most effective and frequently used agents in the treatment of colorectal cancer, breast cancer, gastric cancer, and head and neck cancers, whether for neoadjuvant, adjuvant, advanced or maintenance therapy. Cardiotoxicity, especially coronary disorders caused by 5-FU and capecitabine remains a critical issue in cancer therapy that threatens patient survival and leads to the discontinuation of the medication. Unfortunately, there is no solid evidence worldwide about the incidence of fluoropyrimidine-related coronary disorders and the risk factors affecting its occurrence (Deac et al., 2020; Li et al., 2021). In this study, we systematically evaluated the incidence and profile of coronary disorder associated with fluoropyrimidines administration. To our best knowledge, this is the first comprehensive systematic review and meta-analysis on this topic. The mechanism of fluoropyrimidine-induced cardiotoxicity has not yet been fully elucidated. Although several theories have been proposed, including vasoconstriction, endothelial injury, direct myocardial toxicity, and so on, the most predominant and important clinicopathological change was the disorder of coronary artery (Depetris et al., 2018; Mohammed et al., 2018; Chong and Ghosh, 2019). The coronary disorders defined in this study mainly refers to reversible cardiac ischemia caused by coronary vasospasm, and coronary atherosclerosis due to fluorouracil-induced coagulation problems was also included. There are several reported presentations of fluoropyrimidine-related coronary disorders, including atypical chest pain to typical angina, ACS, myocardial ischemia, and myocardial infarction. According to our results, myocardial ischemia (1.28%) and angina/chest pain (1.1%) are the most frequently reported. In fact, ischemia and angina/chest pain are not two independent adverse events. Chest pain with or without typical angina is often the primary clinical manifestation of acute cardiac ischemia or ACS, both of which are outcomes of coronary disorders. Thus, in this analysis, we focused on the overall coronary disorders consisting of angina/chest pain, myocardial ischemia and infarction, and ACS, rather than one of them. Our results generated reliable data on the overall incidence of fluoropyrimidine-related coronary disorder of 2.7%, which revised the previous over-or under-estimation of 0–35%. The incidence of grade 3 or higher fluoropyrimidine reached 1%, accounting for 37% of the overall incidence, indicating that coronary disorder is one of the high-risk complications, which deserves special attention. The pooled results in our study were close to the data reported by Zafar et al. (2021), in which coronary disorders occurred in 2.16% of 4,019 patients treated with 5-FU. It should be noted that 14 of the 63 included studies observed ECG changes during fluoropyrimidine administration, with a pooled incidence of ST-T changes of 4.77%, remarkably exceeding the incidence of adverse coronary events (2.16%). Such inconsistency may be derived from the presence of asymptomatic ischemic ECG changes in some populations (Lounsbury et al., 2017). Therefore, continuous ECG monitoring should be recommended during fluoropyrimidine use, as early ST-T changes often indicate an impending adverse coronary event. The results of our subgroup analysis showed a lower incidence of the coronary disorder in the female-only population, a phenomenon that has also been observed in other studies (Peng et al., 2018). Delaloge et al. (2020) reported 5 (0.8%) of 628 breast cancer patients treated with capecitabine developed coronary disorders in a phase Ⅲ clinical trial. A similar low incidence (0.5%, 2/397) was also reported by Zhang et al. (2017) in 2017. Such gender differences may be associated with the protective effect of female hormones on the heart (Kurokawa et al., 2009; Gowd and Thompson, 2012; Costa et al., 2021). However, in this pooled analysis, the female-only population were breast cancer patients with capecitabine administration. We believed that the characteristics in tumor type and medication should be mainly accounted for the lower coronary toxicity in the female-only population. In addition, a significant difference on the incidence of all-grade adverse coronary events was also observed among different publication periods. This discrepancy could be partly related to the way of drug administration, increased concomitant targeted therapy, and increased attention to cardiotoxicity. We had observed a significant difference in fluoropyrimidine-related coronary disorders among different tumor types. However, these differences, to a great extent, should be attributed to the variability in treatment regimens among tumors. Capecitabine is an oral prodrug of 5-FU designed to be converted selectively in tumors. It is rapidly absorbed from the gut as an unchanged drug and then converted to the active form of 5-FU by carboxylesterase and thymidine phosphorylase (O’Connell et al., 2014). Therefore, the effect of capecitabine on the coronary is indirect, and our results seem to show that the incidence of capecitabine-caused coronary disorders is significantly lower than that of intravenous 5-FU. However, due to the lack of evidence of direct comparison between 5-FU and capecitabine, such a conclusion needs further confirmation. The coronary toxicity was distinctly varied from formulations or administration protocols of 5-FU or capecitabine. Combination therapy significantly increases coronary toxicity, whether combined with other chemotherapeutics or targeted therapy. The increased incidence of the coronary disorder in combination therapy may result from additive and synergistic toxic effects of different agents on the heart. As we know, anti-angiogenic targeted drugs (e.g., bevacizumab) also had adverse effects on the cardiovascular system (Economopoulou et al., 2015). Therefore, when combination regimens containing these agents were considered, more attention should be paid to the occurrence of coronary adverse events. On the other hand, radiotherapy covering or adjacent to the heart also significantly increases coronary toxicity of fluoropyrimidines. As in our meta-analysis, patients with esophageal cancer who received 5-FU combined with radiotherapy had the highest incidence of coronary disorder at 6.32%. Some studies further showed that radiotherapy increases not only short-term cardiotoxicity, but also long-term cardiotoxicity, such as pericarditis and pericardial effusion (Saunders and Anwar, 2019). Other fluoropyrimidine drugs, such as S-1 and TAS102, have shown a lower incidence of coronary disorders in our study and may be a safer option for patients. However, due to the limited number of cases included in the TAS102 and S1 analyses, more evidence is needed. Admittedly, there were some limitations in this meta-analysis. First, heterogeneity was observed among the included studies. Although we have performed subgroup analyses and adopted a random-effect model to minimize the effects of the heterogeneity, its influence on the stability of the results cannot be eliminated. Second, it is difficult to clearly define and distinguish “coronary disorder,” although in this study we included various manifestations such as angina, chest pain, myocardial infarction, myocardial ischemia, and ACS. Not all included studies have undertaken a comprehensive and targeted examination to identify these conditions, so the result may be an inevitable underestimation of the incidence. Furthermore, it is difficult to determine whether the referred coronary disorder was related to fluoropyrimidine-containing treatment. Although we only included studies that clearly indicated such a correlation, there is still a possibility that patients with spontaneous coronary disorder could be counted in the original study. Finally, several previous studies have reported the effects of age, race, smoking, history of heart disease, and other factors on fluoropyrimidine-related coronary toxicity. However, limited by the characteristics of the included studies in this meta-analysis, we did not have enough data to further analyze all possible moderators. Owing to the above limitations, the findings of this meta-analysis should be interpreted with carefully, and subsequent large-sample clinical studies are necessary.

Conclusion

In conclusion, this meta-analysis, which used a single-rate pooled analysis model, has defined the incidence of coronary disorders induced by fluoropyrimidine-based treatment, and depicted its epidemiological profiles. The occurrence of fluoropyrimidine-related coronary disorders is not a rare condition during fluoropyrimidine administration, which needs to be highly concerned. It varies among tumor types, and different treatment regimens may be associated with different incidence of adverse coronary events. This comprehensive overview of fluoropyrimidine-related coronary disorders can provide a reference for clinical practice in cancer management.
  88 in total

1.  Comparison of oral capecitabine versus intravenous fluorouracil plus leucovorin as first-line treatment in 605 patients with metastatic colorectal cancer: results of a randomized phase III study.

Authors:  P M Hoff; R Ansari; G Batist; J Cox; W Kocha; M Kuperminc; J Maroun; D Walde; C Weaver; E Harrison; H U Burger; B Osterwalder; A O Wong; R Wong
Journal:  J Clin Oncol       Date:  2001-04-15       Impact factor: 44.544

2.  Incidence and risk markers of 5-fluorouracil and capecitabine cardiotoxicity in patients with colorectal cancer.

Authors:  Anne Dyhl-Polk; Merete Vaage-Nilsen; Morten Schou; Kirsten Kjeldgaard Vistisen; Cecilia Margareta Lund; Thomas Kümler; Jon Michael Appel; Dorte Lisbet Nielsen
Journal:  Acta Oncol       Date:  2020-01-14       Impact factor: 4.089

3.  Capecitabine-induced coronary artery vasospasm in a patient who previously experienced a similar episode with fluorouracil therapy.

Authors:  Uğur Nadir Karakulak; Elifcan Aladağ; Naresh Maharjan; Kenan Övünç
Journal:  Turk Kardiyol Dern Ars       Date:  2016-01

Review 4.  Capecitabine-induced myopericarditis - A case report and review of literature.

Authors:  Sydney Saunders; Maria Anwar
Journal:  J Oncol Pharm Pract       Date:  2018-05-21       Impact factor: 1.809

Review 5.  5-FU Cardiotoxicity: Vasospasm, Myocarditis, and Sudden Death.

Authors:  Luis Alberto More; Sarah Lane; Aarti Asnani
Journal:  Curr Cardiol Rep       Date:  2021-02-03       Impact factor: 2.931

6.  Utidelone plus capecitabine versus capecitabine alone for heavily pretreated metastatic breast cancer refractory to anthracyclines and taxanes: a multicentre, open-label, superiority, phase 3, randomised controlled trial.

Authors:  Pin Zhang; Tao Sun; Qingyuan Zhang; Zhongyu Yuan; Zefei Jiang; Xiao Jia Wang; Shude Cui; Yuee Teng; Xi-Chun Hu; Junlan Yang; Hongming Pan; Zhongsheng Tong; Huiping Li; Qiang Yao; Yongsheng Wang; Yongmei Yin; Ping Sun; Hong Zheng; Jing Cheng; Jinsong Lu; Baochun Zhang; Cuizhi Geng; Jian Liu; Roujun Peng; Min Yan; Shaohua Zhang; Jian Huang; Li Tang; Rongguo Qiu; Binghe Xu
Journal:  Lancet Oncol       Date:  2017-02-11       Impact factor: 41.316

7.  Effort myocardial ischemia during chemotherapy with 5-fluorouracil: an underestimated risk.

Authors:  C Lestuzzi; E Vaccher; R Talamini; A Lleshi; N Meneguzzo; E Viel; S Scalone; L Tartuferi; A Buonadonna; L Ejiofor; H-J Schmoll
Journal:  Ann Oncol       Date:  2014-02-20       Impact factor: 32.976

8.  Adjuvant capecitabine plus bevacizumab versus capecitabine alone in patients with colorectal cancer (QUASAR 2): an open-label, randomised phase 3 trial.

Authors:  Rachel S Kerr; Sharon Love; Eva Segelov; Elaine Johnstone; Beverly Falcon; Peter Hewett; Andrew Weaver; David Church; Claire Scudder; Sarah Pearson; Patrick Julier; Francesco Pezzella; Ian Tomlinson; Enric Domingo; David J Kerr
Journal:  Lancet Oncol       Date:  2016-09-19       Impact factor: 41.316

Review 9.  Cardiotoxicity of anthracycline agents for the treatment of cancer: systematic review and meta-analysis of randomised controlled trials.

Authors:  Lesley A Smith; Victoria R Cornelius; Christopher J Plummer; Gill Levitt; Mark Verrill; Peter Canney; Alison Jones
Journal:  BMC Cancer       Date:  2010-06-29       Impact factor: 4.430

10.  Neoadjuvant capecitabine and oxaliplatin before chemoradiotherapy and total mesorectal excision in MRI-defined poor-risk rectal cancer: a phase 2 trial.

Authors:  Yu Jo Chua; Yolanda Barbachano; David Cunningham; Jacqui R Oates; Gina Brown; Andrew Wotherspoon; Diana Tait; Alison Massey; Niall C Tebbutt; Ian Chau
Journal:  Lancet Oncol       Date:  2010-01-25       Impact factor: 41.316

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