Next Article in Journal
Acknowledgment to Reviewers of Cardiogenetics in 2021
Next Article in Special Issue
Genetic Diagnostics Contribute to the Risk Stratification for Major Arrhythmic Events in Pediatric Patients with Long QT Syndrome Type 1–3
Previous Article in Journal / Special Issue
Genetics of Heritable Thoracic Aortic Disease
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Case Report

Pharmacogenomics of Pediatric Cardiac Arrest: Cisplatin Treatment Worsened by a Ryanodine Receptor 2 Gene Mutation

by
Angela Maggio
1,†,
Sandra Mastroianno
2,†,
Giuseppe Di Stolfo
2,*,
Stefano Castellana
3,4,
Pietro Palumbo
5,
Maria Pia Leone
5,
Anita Spirito
1,
Domenico Rosario Potenza
2,
Saverio Ladogana
1,
Marco Castori
5,
Massimo Carella
3,4,
Massimo Villella
2 and
Mauro Pellegrino Salvatori
2
1
Pediatric Oncoematology Unit, Fondazione IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, Italy
2
Cardiology Unit, Fondazione IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, Italy
3
Bioinformatics Unit, Fondazione IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, Italy
4
Istituto Mendel, 00161 Roma, Italy
5
Genetic Unit, Fondazione IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, Italy
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Cardiogenetics 2022, 12(1), 80-88; https://doi.org/10.3390/cardiogenetics12010007
Submission received: 10 December 2021 / Revised: 21 January 2022 / Accepted: 24 January 2022 / Published: 7 February 2022
(This article belongs to the Special Issue Cardiogenetics: Feature Papers 2021)

Abstract

:
In thelast few decades, the roles of cardio-oncology and cardiovascular geneticsgained more and more attention in research and daily clinical practice, shaping a new clinical approach and management of patients affected by cancer and cardiovascular disease. Genetic characterization of patients undergoing cancer treatment can support a better cardiovascular risk stratification beyond the typical risk factors, suchas contractile function and QT interval duration, uncovering a possible patient’s concealed predisposition to heart failure, life threatening arrhythmias and sudden death. Specifically, an integrated cardiogenetic approach in daily oncological clinical practice can ensure the best patient-centered healthcare model, suggesting, also the adequate cardiac monitoring timing and alternative cancer treatments, reducing drug-related complications. We report the case of a 14-month-old girl affected by neuroblastoma, treated by cisplatin, complicated by cardiac arrest. We described the genetic characterization of a Ryanodine receptor 2 (RYR2) gene mutation and subsequent pharmacogenomic approach to better shape the cancer treatment.

1. Background

In the last few decades, the roles of cardio-oncology and cardiovascular geneticsgainedmore and more attention in research and daily practice, shaping a new clinical approach and management of patients affected by cancer and cardiovascular disease. As it is common practice when something new is discovered, scientists and clinicians followsuper specialized pathways to investigate in detail each single brick of the new process, while the final aim is to manage each patient in their own fragmented complexity [1].
In this regard, the genetic characterization of patients undergoing cancer treatment could allow a better cardiovascular risk stratification beyond the typical risk factors, such as contractile function and QT interval duration, uncovering a possible patient’s concealed predisposition to heart failure, life threatening arrhythmias and sudden death. An integrated cardiogenetic approach in daily oncological clinical practice will ensure the best patient-centered healthcare model, suggesting, also the adequate cardiac monitoring timing and alternative cancer treatment, reducing drug-related adverse events [2].
Although the creation of dedicated registries shared between oncologists, cardiologists and geneticists will be the main tool to increase our knowledge about this issue, case reports represent an important causefor reflection, the first step to guarantee a comprehensive knowledge sharing on the worst case scenarios, as “mistakes are the portals of discovery” [3].
Patient predisposition to heart failure and cardiac arrhythmias relies depend on the strong relationship between genetic features and the specific cancer treatment, the latter representing a genetic modifier; early recognition of these complex interactions will improve personalized treatments and will reduce side effect [4].

2. Case Report

We describe the case ofa 14-month-old girl affected by congenital sensorineural deafness, carrying a cochlear implant, who presented with an abdominal and mediastinal mass. Lymphnode biopsy allowed the diagnosis of stage IV, N-Myc-non-amplified (Figure 1) neuroblastoma [5,6]. Results of the preliminary resting electrocardiogram and echocardiogram were normal. After complete staging, she was enrolled in the SIOPEN/HR-NBL1 Protocol (Société International d’Oncologie Pédiatrique European Neuroblastoma/High Risk Neuroblastoma Protocol 1) by COJEC scheme (rapid, platinum-containing induction schedule: CBDCA, CDDP, CYC, VCR, VP16) including cisplatin [7]. During the 7th cycle with cisplatin, on the second day from therapy she had irritability and sudden cardiocirculatory arrest with evidence of ventricular fibrillation (VF). After one hour of continuous cardiopulmonary resuscitation associated to repetitive epinephrine iv and cardiac defibrillation, according to the current guidelines [8], she was returned to spontaneous circulation (ROSC). Then the child was transferred to the intensive care unit. First electrocardiogram (ECG) after cardiac arrest showed QTc prolongation (Figure 2), normalized at subsequent controls, likely due to acute metabolic acidosis and hyperkalemia, while magnesium concentrations were normal before cardiac arrest (2.4 mg/dL, normal range 1.6–2.6 mg/dL). Echocardiography showed normal biventricular function, without any evidence of cardiac structural disease.
Nevertheless, in the presence of sensorineural deafness and evidence of long QT after cardiac arrest, in the absence of familial history of sudden death and deafness, we hypothesized the Jervell and Lange-Nielsen syndrome, an autosomal recessive variant of the familial long QT syndrome; consequently, genetic analysis was performed [9].
On the contrary, the next generation sequencing (NGS) panel for bilateral sensorineural deafness was negative for potassium channel mutation, while it showedhomozygosity for a GJB2 frameshift pathogenic variant c.35delG, p.(Gly12Valfs*12), implicated in a recessive form of congenital sensorineural deafness [10].
Therefore, we performed the NGS panel for suspected channelopathies showing a missense mutation in theRYR2 gene (RYR2: c.1927T > A; p.(Leu643Ile), classified as a variant of uncertain significance (VUS). The RYR2 gene provides for making the protein ryanodine receptor 2, involved in calcium transport handling within cardiomyocytes cells. The RYR2 gene is closely related to catecholaminergic polymorphic ventricular tachycardia (CPVT). According to present consensus, after parents screening, the mother resulted to be a carrier of the same mutation. A more detailed maternal clinical history revealed her positivity to palpitations and two syncopal events.
An exercise testing displayed that the mother had frequent premature ventricular beats during effort, disappearing at rest. Although the reported RYR2 mutation was considered a variant of uncertain significance (VUS) after bioinformatics’ analysis, the particular familial segregation may support its plausible pathogenicity. Cancer restaging after cardiac arrest, by means of (MIBG) single photon emission computed tomography (SPECT, GE Healthcare, Boston, MA, USA) and computer tomography (CT) scan, showed an important mass reduction and minimal uptake, while brain CT showed a picture of widespread suffering, but the clinical and neurological conditions of the child were good. On the basis of the cardiogenetic results, nadolol treatment was started, according to the current indications [11]; because of poor prognosis and low body mass index, cardiac defibrillator implantation was temporary avoided, with a strong indication to continue ECG monitoring during the treatment. A brief period of maintenance therapy with temozolomide and topotecan was useless, burdened by disease progression.
After multidisciplinary discussion, the need for treatment continuation was evident, avoiding the acknowledged cardiotoxicity; for this reason, the patient was administered a stepwise treatment by MIBG therapy, autologous peripheral blood stem cells (PBSC) infusion, followed by conditioning therapy with busulfan and melphalan and a second autologous PBSC infusion. Afterwards, she receiveda treatment with retinoic acid and effective immunotherapy based on Anti-GD2, a surface glycolipid, associated to improved survival and quality of life by reducing exposure to cytotoxic agents [12]. After twenty-eight months the patient is alive, without any evidence of further ventricular arrhythmias; unfortunately, cancer restaging by MIBG confirmed a tracer capturing mass. Currently, she is on etoposide maintenance treatment and continues cardiological follow up, according to the international consensus.

3. Methods

3.1. DNA Extraction, Libraries Preparation and Next-Generation Sequencing (NGS)

The patient’s parents provided written informed consent to molecular testing and to the full content of this publication. This study was performed in accordance with the Declaration of Helsinki (1984) and its subsequent revisions. Genomic DNA was extracted from peripheral blood samples using the Bio Robot EZ1 (Quiagen, Solna, Sweden). DNA quantity and quality were measured by NanoDrop 2000 C Spectrophotometer (Thermo Fisher Scientific, Waltham, MA, USA). The sample was then quantified with the Qubit fluorometer (Thermo Fisher Scientific, Waltham, MA, USA) using the Quant-iT dsDNA BR Assay kit (Thermo Fisher Scientific, Waltham, MA, USA), according to the manufacturer’s instructions. The sequencing of 75 genes responsible for several forms of cardiomyopathies and of 85 genes responsible for Hearing loss of the index patient was performed by using the SureSelectQXT Target Enrichment system (Agilent Technologies, Santa Clara, CA, USA), according to the manufacturer’s instructions. The libraries were then sequenced on the NextSeq500 Sequencing System (Illumina Inc., San Diego, CA, USA), using a Mid Output 300 cycles flow cell (Illumina Inc., San Diego, CA, USA).

3.2. Sanger Sequencing

All putatively pathogenic variants were confirmed by Sanger sequencing and the segregation analysis was carried out. Sanger sequencing was performed using theBigDye Terminator v3.1 Cycle Sequencing kit (Applied Biosystems, Foster City, CA, USA) on the 3130xl Genetic Analyzer Sequencer (Thermo Fisher Scientific, Waltham, MA, USA).

3.3. Bioinformatics Analyses (vedi ref SGS)

The quality of the sequenced sequences was checked using the FastQC software [13] and then aligned against the hg19 human reference genome by the BWAmem v.0.7.17 [14]. Depth of coverage analysis was carried out through the TEQC R Package on the produced *.bam file, thus obtaining measures of sample and region-specific sequencing coverage [15]. The identification of single nucleotide variants and small insertions/deletions was performed using GATK ver. 3.7 [16]. Variants were functionally annotated through the Annovar Software v.2017Feb15 [17], with the NCBI Human RefSeq as annotation reference system [18]. Annotated variants were also checked for novelty in public collections, such as dbSNP ver. 151 [19], ExAC and gnomAD [20]. Furthermore, prediction of functional effect of nonsynonymous and splice site variants were retrieved by the dbNSFP v3.4 database [21]. Subsequently, the prioritization of the variants started excluding those described as benign and likely benign. Then the remaining variants which passed this filtering were classified on the basis of their clinical relevance as pathogenic, likely pathogenic or variant of uncertain significance by using the following criteria: (i) nonsense/frameshift variant in genes previously described as disease causing by haploinsufficiency or loss-of-function; (ii) missense variant located in a critical or functional domain; (iii) variant affecting canonical splicing sites (i.e., ±1 or ±2 positions); (iv) variant absent in allele frequency population databases; (v) variant reported in allele frequency population databases but with a minor allele frequency (MAF) significantly lower than expected for the disease; (vi) variant predicted and/or annotated as pathogenic/deleterious in ClinVar v.2018Oct12 and/or LOVD v.2.0. The putative pathogenic variants identified following this pipeline were confirmed by direct Sanger sequencing, and the segregation analysis was carried out. The Sanger sequencing was performed using theBigDye Terminator v3.1 Cycle Sequencing kit (Applied Biosystems, Foster City, CA, USA) on the 3130xl Genetic Analyzer Sequencer (Applied Biosystems, Foster City, CA, USA). The clinical significance of the identified putative variants was interpreted according to the American College of Medical Genetics and Genomics Recommendations [22].

4. Results

The NGS analysis of the proband revealed that the patient was heterozygous for the RYR2 (NM_001035.3):c.1927T > A (p.Leu643Ile) (rs368918887) variant, and homozygous for the GJB2 (NM_004004) c.35delG, p.(Gly12Valfs*12) (rs80338939) variant. The detected variants were identified with a read depth of 604X and 1158X, respectively. After Sanger sequencing of the proband’s parents, the RYR2 variants resulted to be inherited from the mother, while both parents were heterozygous the GJB2 variant.

5. Discussion

The occurrence of a major adverse cardiac event (MACE) gives rise to many questions in the clinical practice. The cardio-oncology approach requires the assessment of the patient’s status and risk stratification before treatment for adequate risk assessment, patient’streatment and an appropriate follow up timing with close surveillance for side effects. In this case, preliminary cardiological assessment was normal, in particular cardiac contractility and ventricular repolarization on echocardiography and electrocardiogram. Serum electrolytes concentration was normal in the morning, before the cardiac arrest; in particular magnesium level, as it is an important RyR2 regulator, a potential mechanism by which Cisplatin may promote RyR2 hiperactivity duringhipomagnesemia. After cardiac arrest due to ventricular fibrillation, in the presence of long QT and congenital sensorineural deafness, the first hypothesis was represented by the Jarvell and Lange-Nielsen syndrome, characterized by an autosomal recessive inheritance pattern of potassium channel mutation, yet it seems questionable based on familial absence of deafness and sudden death. A first clinical approach based on epidemiological and probabilistic considerations can be helpful, leading to an initial intuitive orientation. However, in this case, the Ockham’s razor showed its fallacy [23].
The NGS panel for genes responsible for hearing loss showed homozygosity for a pathogenic GJB2 gene variant; previous studies denied a major incidence of cardiac arrhythmias and electrocardiographic parameter abnormalities (atrioventricular conduction or ventricular repolarization) in patients affected by this condition [24].
On the other hand, the presence of a VUS in the RYR2 gene, with autosomal dominant inheritance pattern, even in the presence of a weak familial segregation, represented by maternal history of palpitation, syncope and frequent premature ventricular beats during effort, brings a reflection on the strict role of intracellular calcium handling with implication on ventricular fibrillation induction.
The RYR2 gene is implicated in the pathogenesis of catecholaminergic polymorphic ventricular tachycardia (CPVT), a rare inherited arrhythmia syndrome characterized by adrenergically driven ventricular arrhythmia predominantly caused by pathogenic variants in the cardiac ryanodine receptor (RyR2) [25]. RyR2 is responsible for sarcoplasmic reticulum calcium release, hence its dysfunction leads to an impairment of intracellular calcium handling [26]. On the other hand, although a direct interaction between RyR2 and cisplatin cannot be ruled out [27], it is described that cisplatin induces an irreversible inhibition of SERCa2, reducing calcium reuptake in sarcoplasmic reticulum [28]. Broadening the comprehension of the complex biological system interactions during chemotherapy, we need to consider patient psychological distress, leading to anxiety and increased adrenergic burden, well described by the recent paradigm of “emotional chemobrain” [29]. As described by Trafford et al., beta adrenergic stimulation induces calcium overload mainly by RyR2 phosporylation, increasing Ca2+ leaking and enhancing L-type Ca2+ current, with consequent increase in the intracellular calcium concentration. High Ca2+ concentration leads to both Ca2+-induced Ca2+ release phenomenon (CICR) by SR and Na-Ca pump exchange (NCX) activation, causing Na+ inward current and delayed after-depolarization (DAD) [30]. Summarizing, patient concealed predisposition to cardiac arrhythmias, represented by pathological calcium release due to the RYR2 mutation, is worsened by further calcium intracellular concentration, secondary to reduced calcium uptake by cisplatin-induced SERCa2 inhibition and stress-related beta-stimulation, impairs cytosolic Ca2+ waves propagation and full development [31]; this complex processleads to early and delayed after depolarizations (EADs and DADs), precipitating in ventricular fibrillation [32].
According to the international cardiopulmonary resuscitation protocol [8], epinephrine is strongly indicated. In our case, although a prompt intervention was guaranteed, ROSC was obtained after one hour. Our plausible consideration is that epinephrine has a detrimental effect in the presence of the RYR2 mutation, leading to further calcium overload. The recent literature supports our hypothesis, confirming that epinephrine administration during cardiac arrest in children affected by CPVT is associated to significantly longer resuscitation efforts, more interventions and a longer time to return to spontaneous circulation [33]. Starting from this initial evidence, strengthened by biological plausibility, we suggest that a different protocol needs to be discussed and validated in pediatric patients affected by CPVT. In particular, vasopressine, recently ruled out in the setting of cardiac arrest by the 2017 AHA/ACC/HRS Guideline [34], with a current renewed adoption in pediatric intensive care [35], could be a valid alternative in this particular subgroup and represents an interesting hypothesis to investigate in further studies.
After multidisciplinary discussion, even in the presence of an indication to ICD implantation in secondary prevention after the cardiac arrest, we decided not to implant for several reasons mainly represented by low body mass index with higher risk of complication [36], poor life expectancy and the presence of a reversible cause of ventricular fibrillation represented by cisplatin infusion. On the other hand, the evidence of disease progression needs to be addressed through a different available treatment, in particular by immunotherapy, dinutuximab, an anti-GD2 chimeric monoclonal antibody approved for high-risk neuroblastoma treatment [37]. In our case, according to the literature, this solution avoids the occurrence of any further arrhythmias, which is made evident by continuous ECG monitoring during hospitalization.
Currently, pharmacogenomic focuses mostly on pharmacokinetics, in particular on drug metabolism modification induced by gene polymorphism, implicating different drug-response and side effect distribution among population; this approach is suffering from some limitations, due to cost-effectiveness and lack of reliable predictable models [38]. Future aims of pharmacogenomics will rely on a better characterization of the patient’s whole genome to build predictable models and reach a personalized medicine by using big data analysis platforms [39].

6. Conclusions

In conclusion, existing evidence demonstrates that genetic factors have the potential to improve the discrimination between individuals at higher and lower risk of cardiac complications, such as heart failure and life-threatening cardiac arrhythmias. We underline the role of genetic analysis on this issue, allowing the best support to patient care and healthcare decision making, improving prevention of cardiotoxicity. In the future, this combined approach will allow a correct recognition of this demanding characterization, bringing together oncological and cardiological features of this complex scenario, leading to proper clinical management in both the acute and the chronic patient pharmacological treatment.

Author Contributions

Data acquisition: A.M., S.M., G.D.S. and M.V.; processing and interpretation, A.M., S.M., G.D.S. and D.R.P.; writing original draft preparation, A.M., S.M., G.D.S., M.V. and M.P.S.; clinical evaluation, A.M., S.M., G.D.S., A.S., M.V. and M.P.S.; study concept, S.M., G.D.S., S.L., D.R.P. and M.V.; critical revision of manuscript, A.M., S.M., G.D.S. and M.C. (Massimo Carella); data curation, S.M., G.D.S., P.P., S.C. and M.P.L.; supervision, G.D.S., D.R.P., M.C. (Marco Castori), M.V., M.P.S. and M.C. (Massimo Carella). All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by Italian Ministry of Health for research grant RC 2001CA08.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Informed consent, approved by Fondazione IRCCS Casa SollievodellaSofferenza Ethical Committee, was obtained by both parents for the genetic analysis and case history.

Data Availability Statement

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

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

HR-NB: High Risk Neuroblastoma

References

  1. Trosman, J.R.; Carlos, R.C.; Simon, M.A.; Madden, D.L.; Gradishar, W.J.; Benson, A.B., III; Rapkin, B.D.; Weiss, E.S.; Gareen, I.F.; Wagner, L.I.; et al. Carefora Patient with Cancerasa Project: Management of Complex Task Interdependencein Cancer Care Delivery. J. Oncol. Pract. 2016, 12, 1101–1103. Available online: https://pubmed.ncbi.nlm.nih.gov/27577619/?from_term=patient+centered+care+fragmented+complexity&from_page=2&from_pos=4 (accessed on 19 April 2020). [CrossRef] [PubMed]
  2. Zamorano, J.L.; Lancellotti, P.; RodriguezMuñoz, D.; Aboyans, V.; Asteggiano, R.; Galderisi, M.; Habib, G.; Lenihan, D.J.; Lip, G.Y.; Lyon, A.R.; et al. 2016 ESC Position Paperon Cancer Treatments and Cardiovascular Toxicity Developed under the Auspices of the ESC Committee for Practice Guidelines: The Task Force for Cancer Treatments and Cardiovascular Toxicity of the European Society of Cardiology (ESC). Eur. Heart J. 2016, 37, 2768–2801. Available online: https://pubmed.ncbi.nlm.nih.gov/27567406/?from_term=2016+ESC+Position+Paper+on+cancer+treatments (accessed on 19 April 2020). [CrossRef] [PubMed]
  3. Joyce, J. Ulysses, Scylla and Charybdis; Wordsworth Editions: London, UK, 2010; Volume 9. [Google Scholar]
  4. Ehrhardt, M.J.; Fulbright, J.M.; Armenian, S.H. Cardiomyopathy in Childhood Cancer Survivors: Lessons from the Pastand Challenges for the Future. Curr. Oncol. Rep. 2016, 18, 22. [Google Scholar] [CrossRef] [PubMed]
  5. Shimada, H.; Stram, D.O.; Chatten, J.; Joshi, V.V.; Hachitanda, Y.; Brodeur, G.M.; Lukens, J.N.; Matthay, K.K.; Seeger, R.C. Identification of subsets of neuroblastomas by combined histopathologic and N-mycanalysis. J. Natl. Cancer Inst. 1995, 87, 1470–1476. [Google Scholar] [CrossRef]
  6. Monclair, T.; Brodeur, G.M.; Ambros, P.F.; Brisse, H.J.; Cecchetto, G.; Holmes, K.; Kaneko, M.; London, W.B.; Matthay, K.K.; Nuchtern, J.G.; et al. The International Neuroblastoma Risk Group (INRG) staging system. J. Clin. Oncol. Off. J. Am. Soc. Clin. Oncol. 2009, 27, 298–303. [Google Scholar] [CrossRef] [Green Version]
  7. Peinemann, F.; Kahangire, D.A.; van Dalen, E.C.; Berthold, F. Rapid COJEC versus standard induction therapies for high-risk neuroblastoma. Cochrane Database Syst. Rev. 2015, 5. [Google Scholar] [CrossRef]
  8. Sandroni, C.; Nolan, J.; European Resuscitation Council. ERC2010 guidelines for adult and pediatric resuscitation: Summary of major changes. Minerva Anestesiol. 2011, 77, 220–226. [Google Scholar]
  9. Eftekharian, A.; Mahani, M.H. Jervell and Lange-Nielsen syndrome in cochlear implanted patients: Our experience and a review of literature. Int. J. Pediatr. Otorhinolaryngol. 2015, 79, 1544–1547. [Google Scholar] [CrossRef]
  10. Estivill, X.; Fortina, P.; Surrey, S.; Rabionet, R.; Melchionda, S.; D’Agruma, L.; Mansfield, E.; Rappaport, E.; Govea, N.; Milà, M.; et al. Connexin-26 mutations in sporadic and inherited sensor In eural deafness. Lancet 1998, 351, 394–398. [Google Scholar] [CrossRef]
  11. Kim, C.W.; Aronow, W.S.; Dutta, T.; Frenkel, D.; Frishman, W.H. Catecholaminergic Polymorphic Ventricular Tachycardia. Cardiol. Rev. 2020, 28, 325–331. [Google Scholar] [CrossRef]
  12. Sait, S.; Modak, S.I. Anti-GD2 immuno therapy for neuroblastomas. Expert Rev. Anticancer Ther. 2017, 17, 889–904. [Google Scholar] [CrossRef] [PubMed]
  13. Babraham Bioinformatics- FastQC a Quality Control Tool for High Throughput Sequence Data. Available online: https://www.bioinformatics.babraham.ac.uk/projects/fastqc/ (accessed on 3 November 2020).
  14. Li, H.; Durbin, R. Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinform. Oxf. Engl. 2009, 25, 1754–1760. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Hummel, M.; Bonnin, S.; Lowy, E.; Roma, G. TEQC: An R package for quality control in target capture experiments. Bioinform. Oxf. Engl. 2011, 27, 1316–1317. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. De Pristo, M.A.; Banks, E.; Poplin, R.; Garimella, K.V.; Maguire, J.R.; Hartl, C.; Philippakis, A.A.; DelAngel, G.; Rivas, M.A.; Hanna, M.; et al. A frame work for variation discovery and generation DNA sequencing data. Nat. Genet. 2011, 43, 491–498. [Google Scholar] [CrossRef]
  17. Wang, K.; Li, M.; Hakonarson, H. ANNOVAR: Functional annotation of genetic variants from high-through put sequencing data. Nucleic Acids Res. 2010, 38, ne164. [Google Scholar] [CrossRef]
  18. O’Leary, N.A.; Wright, M.W.; Brister, J.R.; Ciufo, S.; Haddad, D.; McVeigh, R.; Rajput, B.; Robbertse, B.; Smith-White, B.; Ako-Adjei, D.; et al. Reference sequence (RefSeq) database at NCBI: Current status, taxonomic expansion, and functional annotation. Nucleic Acids Res. 2016, 44, D733–D745. [Google Scholar] [CrossRef] [Green Version]
  19. Sherry, S.T.; Ward, M.-H.; Kholodov, M.; Baker, J.; Phan, L.; Smigielski, E.M.; Sirotkin, K. dbSNP: The NCBI database of genetic variation. Nucleic Acids Res. 2001, 29, 308–311. [Google Scholar] [CrossRef] [Green Version]
  20. Lek, M.; Karczewski, K.J.; Minikel, E.V.; Samocha, K.E.; Banks, E.; Fennell, T.; O’Donnell-Luria, A.H.; Ware, J.S.; Hill, A.J.; Cummings, B.B.; et al. Analysis of protein-coding genetic variation in 60, 706 humans. Nature 2016, 536, 285–291. [Google Scholar] [CrossRef] [Green Version]
  21. Liu, X.; Jian, X.; Boerwinkle, E. dbNSFP: Alight weight database of human nonsynonymous SNPs and the irfunctional predictions. Hum. Mutat. 2011, 32, 894–899. [Google Scholar] [CrossRef]
  22. Richards, S.; Aziz, N.; Bale, S.; Bick, D.; Das, S.; Gastier-Foster, J.; Grody, W.W.; Hegde, M.; Lyon, E.; Spector, E.; et al. Standards and guidelines for the interpretation of sequence variants: A joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet. Med. Off. J. Am. Coll. Med. Genet. 2015, 17, 405–424. [Google Scholar] [CrossRef] [Green Version]
  23. Van den Berg, H.A. Occam’s Razor: From Ockham’s via Moderna to Modern Data Science. Sci. Prog. 2018, 101, 261–272. [Google Scholar] [CrossRef] [PubMed]
  24. Sanecka, A.; Biernacka, E.K.; Sosna, M.; Mueller-Malesinska, M.; Ploski, R.; Skarzynski, H.; Piotrowicz, R. Evaluation of electrocardiographic parameters in patients with hearing loss genotyped for the connexin 26 gene (GJB2) mutations. Braz. J. Otorhinolaryngol. 2017, 83, 176–182. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Priori, S.G.; Wilde, A.A.; Horie, M.; Cho, Y.; Behr, E.R.; Berul, C.; Blom, N.; Brugada, J.; Chiang, C.E.; Huikuri, H.; et al. Executive Summary: HRS/EHRA/APHRS Expert Consensus Statement on the Diagnosis and Management of Patients with Inherited Primary Arrhythmia Syndromes. Eur. Eur. Pacing Arrhythm. Card. Electrophysiol. J. Work. Groups Card. Pacing Arrhythm. Card. Cell. Electrophysiol. Eur. Soc. Cardiol. 2013, 15, 1389–1409. Available online: https://pubmed.ncbi.nlm.nih.gov/23994779/?from_term=on+the+diagnosis+and+management+of+patients+with+inherited+primary+priori&from_pos=2 (accessed on 22 April 2020).
  26. Marks, A.R.; Priori, S.; Memmi, M.; Kontula, K.; Laitinen, P.J. Involvement of the Cardiac Ryanodine Receptor/Calcium Release Channel in Catecholaminergic Polymorphic Ventricular Tachycardia. J. Cell. Physiol. 2002, 190, 1–6. Available online: https://pubmed.ncbi.nlm.nih.gov/11807805/?from_term=ryanodine+cpvt+calcium&from_filter=pubt.review&from_pos=7 (accessed on 22 April 2020). [CrossRef] [PubMed]
  27. Chakraborty, A.D.; Gonano, L.A.; Munro, M.L.; Smith, L.J.; Thekkedam, C.; Staudacher, V.; Gamble, A.B.; Macquaide, N.; Dulhunty, A.; Jones, P.P. Activation of RyR2 by class Ikinase inhibitors. Br. J. Pharmacol. 2019, 176, 773–786. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  28. Tadini-Buoninsegni, F.; Sordi, G.; Smeazzetto, S.; Natile, G.; Arnesano, F. Effect of cisplatin on the transport activity of PII-type ATPases. Metallomics 2017, 9, 960–968. [Google Scholar] [CrossRef]
  29. Khalil, R.B. Emotional Chemobrain’: A new concept for chemotherapy adverse drug effect? L’Encephale 2021, 47, 613–615. [Google Scholar] [CrossRef]
  30. Eisner, D.A.; Kashimura, T.; Venetucci, L.A.; Trafford, A.W. From the ryanodine receptor to cardiac arrhythmias. Circ. J. Off. J. Jpn. Circ. Soc. 2009, 73, 1561–1567. [Google Scholar] [CrossRef] [Green Version]
  31. Valverde, C.A.; Mazzocchi, G.; DiCarlo, M.N.; Pardo, A.C.; Salas, N.; Ragone, M.I.; IFelice, J.; Cely-Ortiz, A.; E Consolini, A.; Portiansky, E.; et al. Ablation of phospholamban rescues reperfusion arrhythmias but exacerbates myocardium in farction in heart swith Ca2+/calmodulinkinaseIIconstitutivephosphorylationofryanodinereceptors. Cardiovasc. Res. 2019, 115, 556–569. [Google Scholar] [CrossRef]
  32. Federico, M.; Valverde, C.A.; Mattiazzi, A.; Palomeque, J. Unbalance between Sarcoplasmic Reticulum Ca2+ Uptake and Release: A First Step Toward Ca2+ Triggered Arrhythmias and Cardiac Damage. Front. Physiol. 2020, 10, 1630. Available online: https://pubmed.ncbi.nlm.nih.gov/32038301/?from_single_result=valverde+Unbalance+Between+Sarcoplasmic&expanded_search_query=valverde+Unbalance+Between+Sarcoplasmic (accessed on 22 April 2020). [CrossRef]
  33. Bellamy, D.; Nuthall, G.; Dalziel, S.; Skinner, J.R. Catecholaminergic Polymorphic Ventricular Tachycardia: The Cardiac Arrest Where Epinephrine Is Contraindicated. Pediatr. Crit. Care Med. 2019, 20, 262–268. [Google Scholar] [CrossRef] [PubMed]
  34. Al-Khatib, S.M.; Stevenson, W.G.; Ackerman, M.J.; Bryant, W.J.; Callans, D.J.; Curtis, A.B.; Deal, B.J.; Dickfeld, T.; Field, M.E.; Fonarow, G.C.; et al. 2017 AHA/ACC/HRS Guideline for Management of Patients with Ventricular Arrhythmias and the Prevention of Sudden Cardiac Death. Circulation 2018, 138, e272–e391. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Singh, V.K.; Sharma, R.; Agrawal, A.; Varma, A. Vasopressin in the pediatric cardiac intensive care unit: Mythorreality. Ann. Pediatr. Cardiol. 2009, 2, 65–73. [Google Scholar] [CrossRef] [PubMed]
  36. Baskar, S.; Bao, H.; Minges, K.E.; Spar, D.S.; Czosek, R.J. Characteristics and Outcomes of Pediatric Patients Who Undergo Placement of Implantable Cardioverter Defibrillators. Circ. Arrhythm. Electrophysiol. 2018, 11, e006542. [Google Scholar] [CrossRef] [PubMed]
  37. Bartholmew, J.; Washington, T.; Bergeron, S.; Nielson, D.; Saggio, J.; Quirk, L. Dinutuximab: A Novel Immunotherapy in the Treatment of Pediatric Patients with High-Risk Neuroblastoma. J. Pediatr. Oncol. Nurs. 2017, 34, 5–12. [Google Scholar] [CrossRef]
  38. Krebs, K.; Milani, L. Translating pharmacogenomics into clinical decisions: Do not let the perfect be the enemy of the good. Hum. Genom. 2019, 13, 39. [Google Scholar] [CrossRef] [Green Version]
  39. Barrot, C.-C.; Woillard, J.-B.; Picard, N. Big data in pharmacogenomics: Current applications, perspectives and pitfalls. Pharmacogenomics 2019, 20, 609–620. [Google Scholar] [CrossRef]
Figure 1. (a) Meta-(radioiodinated)iodobenzylguanidine showing abdominal mass uptake. (b) CT scan showing neuroblastoma.
Figure 1. (a) Meta-(radioiodinated)iodobenzylguanidine showing abdominal mass uptake. (b) CT scan showing neuroblastoma.
Cardiogenetics 12 00007 g001
Figure 2. Electrocardiogram after cardiac resuscitation.
Figure 2. Electrocardiogram after cardiac resuscitation.
Cardiogenetics 12 00007 g002
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Maggio, A.; Mastroianno, S.; Di Stolfo, G.; Castellana, S.; Palumbo, P.; Leone, M.P.; Spirito, A.; Potenza, D.R.; Ladogana, S.; Castori, M.; et al. Pharmacogenomics of Pediatric Cardiac Arrest: Cisplatin Treatment Worsened by a Ryanodine Receptor 2 Gene Mutation. Cardiogenetics 2022, 12, 80-88. https://doi.org/10.3390/cardiogenetics12010007

AMA Style

Maggio A, Mastroianno S, Di Stolfo G, Castellana S, Palumbo P, Leone MP, Spirito A, Potenza DR, Ladogana S, Castori M, et al. Pharmacogenomics of Pediatric Cardiac Arrest: Cisplatin Treatment Worsened by a Ryanodine Receptor 2 Gene Mutation. Cardiogenetics. 2022; 12(1):80-88. https://doi.org/10.3390/cardiogenetics12010007

Chicago/Turabian Style

Maggio, Angela, Sandra Mastroianno, Giuseppe Di Stolfo, Stefano Castellana, Pietro Palumbo, Maria Pia Leone, Anita Spirito, Domenico Rosario Potenza, Saverio Ladogana, Marco Castori, and et al. 2022. "Pharmacogenomics of Pediatric Cardiac Arrest: Cisplatin Treatment Worsened by a Ryanodine Receptor 2 Gene Mutation" Cardiogenetics 12, no. 1: 80-88. https://doi.org/10.3390/cardiogenetics12010007

APA Style

Maggio, A., Mastroianno, S., Di Stolfo, G., Castellana, S., Palumbo, P., Leone, M. P., Spirito, A., Potenza, D. R., Ladogana, S., Castori, M., Carella, M., Villella, M., & Salvatori, M. P. (2022). Pharmacogenomics of Pediatric Cardiac Arrest: Cisplatin Treatment Worsened by a Ryanodine Receptor 2 Gene Mutation. Cardiogenetics, 12(1), 80-88. https://doi.org/10.3390/cardiogenetics12010007

Article Metrics

Back to TopTop