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Jin M, Shi R, Gao D, Wang B, Li N, Li X, Sik A, Liu K, Zhang X. ErbB2 pY -1248 as a predictive biomarker for Parkinson's disease based on research with RPPA technology and in vivo verification. CNS Neurosci Ther 2024; 30:e14407. [PMID: 37564024 PMCID: PMC10848095 DOI: 10.1111/cns.14407] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Revised: 07/27/2023] [Accepted: 07/30/2023] [Indexed: 08/12/2023] Open
Abstract
AIMS This study aims to reveal a promising biomarker for Parkinson's disease (PD) based on research with reverse phase protein array (RPPA) technology for the first time and in vivo verification, which gains time for early intervention in PD, thus increasing the effectiveness of treatment and reducing disease morbidity. METHODS AND RESULTS We employed RPPA technology which can assess both total and post-translationally modified proteins to identify biomarker candidates of PD in a cellular PD model. As a result, the phosphorylation (pY-1248) of the epidermal growth factor receptor (EGFR) ErbB2 is a promising biomarker candidate for PD. In addition, lapatinib, an ErbB2 tyrosine kinase inhibitor, was used to verify this PD biomarker candidate in vivo. We found that lapatinib-attenuated dopaminergic neuron loss and PD-like behavior in the zebrafish PD model. Accordingly, the expression of ErbB2pY-1248 significantly increased in the MPTP-induced mouse PD model. Our results suggest that ErbB2pY-1248 is a predictive biomarker for PD. CONCLUSIONS In this study, we found that ErbB2pY-1248 is a predictive biomarker of PD by using RPPA technology and in vivo verification. It offers a new perspective on PD diagnosing and treatment, which will be essential in identifying individuals at risk of PD. In addition, this study provides new ideas for digging into biomarkers of other neurodegenerative diseases.
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Affiliation(s)
- Meng Jin
- Biology Institute, Qilu University of Technology (Shandong Academy of Sciences)Ji'nanChina
- Engineering Research Center of Zebrafish Models for Human Diseases and Drug Screening of Shandong ProvinceJi'nanChina
| | - Ruidie Shi
- Biology Institute, Qilu University of Technology (Shandong Academy of Sciences)Ji'nanChina
- Engineering Research Center of Zebrafish Models for Human Diseases and Drug Screening of Shandong ProvinceJi'nanChina
- School of PsychologyNorth China University of Science and TechnologyTang'shanChina
| | - Daili Gao
- Biology Institute, Qilu University of Technology (Shandong Academy of Sciences)Ji'nanChina
- Engineering Research Center of Zebrafish Models for Human Diseases and Drug Screening of Shandong ProvinceJi'nanChina
| | - Baokun Wang
- Biology Institute, Qilu University of Technology (Shandong Academy of Sciences)Ji'nanChina
- Engineering Research Center of Zebrafish Models for Human Diseases and Drug Screening of Shandong ProvinceJi'nanChina
| | - Ning Li
- Biology Institute, Qilu University of Technology (Shandong Academy of Sciences)Ji'nanChina
- Engineering Research Center of Zebrafish Models for Human Diseases and Drug Screening of Shandong ProvinceJi'nanChina
| | - Xia Li
- Mills Institute for Personalized Cancer Care, Fynn Biotechnologies Ltd.Ji'nanChina
| | - Attila Sik
- Institute of Transdisciplinary Discoveries, Medical SchoolUniversity of PecsPécsHungary
- Institute of Clinical Sciences, Medical SchoolUniversity of BirminghamBirminghamUK
- Institute of Physiology, Medical SchoolUniversity of PecsPécsHungary
| | - Kechun Liu
- Biology Institute, Qilu University of Technology (Shandong Academy of Sciences)Ji'nanChina
- Engineering Research Center of Zebrafish Models for Human Diseases and Drug Screening of Shandong ProvinceJi'nanChina
| | - Xiujun Zhang
- School of PsychologyNorth China University of Science and TechnologyTang'shanChina
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Lunardi M, Al-Habbaa A, Abdelshafy M, Davey MG, Elkoumy A, Ganly S, Elzomor H, Cawley C, Sharif F, Crowley J, Kerin M, Wijns W, Lowery A, Soliman O. Genetic and RNA-related molecular markers of trastuzumab-chemotherapy-associated cardiotoxicity in HER2 positive breast cancer: a systematic review. BMC Cancer 2022; 22:396. [PMID: 35413811 PMCID: PMC9004047 DOI: 10.1186/s12885-022-09437-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Accepted: 03/16/2022] [Indexed: 11/19/2022] Open
Abstract
Cancer-therapy related cardiotoxicity (CTRCT) is a significant and frequent complication of monoclonal antibody directed therapy, especially Trastuzumab, for human epidermal growth factor receptor 2 (HER2) overexpressing breast cancers. Reliable, clinically available molecular predictive markers of CTRCT have not yet been developed. Identifying specific genetic variants and their molecular markers, which make the host susceptible to this complication is key to personalised risk stratification. A systematic review was conducted until April 2021, using the Medline, Embase databases and Google Scholar, to identify studies genetic and RNA-related markers associated with CTRCT in HER2 positive breast cancer patients. So far, researchers have mainly focused on HER2 related polymorphisms, revealing codons 655 and 1170 variants as the most likely SNPs associated with cardiotoxicity, despite some contradictory results. More recently, new potential genetic markers unrelated to the HER2 gene, and linked to known cardiomyopathy genes or to genes regulating cardiomyocytes apoptosis and metabolism, have been detected. Moreover, microRNAs are gaining increasing recognition as additional potential molecular markers in the cardio-oncology field, supported by encouraging preliminary data about their relationship with cardiotoxicity in breast cancers. In this review, we sought to synthesize evidence for genetic variants and RNA-related molecular markers associated with cardiotoxicity in HER2-positive breast cancer.
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Affiliation(s)
- Mattia Lunardi
- Discipline of Cardiology, Saolta Group, Galway University Hospital, Health Service Executive and CORRIB Core Lab, National University of Ireland Galway (NUIG), Galway, H91 TK33, Ireland
- Division of Cardiology, Department of Medicine, University of Verona, Verona, Italy
- The Lambe Institute for Translational Medicine and CURAM, National University of Ireland Galway (NUIG), Galway, Ireland
| | - Ahmed Al-Habbaa
- Discipline of Cardiology, Saolta Group, Galway University Hospital, Health Service Executive and CORRIB Core Lab, National University of Ireland Galway (NUIG), Galway, H91 TK33, Ireland
- Department of Cardiology, Faculty of Medicine, Al-Azhar University, Cairo, Egypt
| | - Mahmoud Abdelshafy
- Discipline of Cardiology, Saolta Group, Galway University Hospital, Health Service Executive and CORRIB Core Lab, National University of Ireland Galway (NUIG), Galway, H91 TK33, Ireland
| | - Matthew G Davey
- Discipline of Surgery, School of Medicine, Lambe Institute for Translational Research, National University of Ireland Galway, Galway, Ireland
| | - Ahmed Elkoumy
- Discipline of Cardiology, Saolta Group, Galway University Hospital, Health Service Executive and CORRIB Core Lab, National University of Ireland Galway (NUIG), Galway, H91 TK33, Ireland
| | - Sandra Ganly
- Discipline of Cardiology, Saolta Group, Galway University Hospital, Health Service Executive and CORRIB Core Lab, National University of Ireland Galway (NUIG), Galway, H91 TK33, Ireland
- The Lambe Institute for Translational Medicine and CURAM, National University of Ireland Galway (NUIG), Galway, Ireland
- Precision Cardio-Oncology Research Enterprise (P-CORE), National University of Ireland, Galway, Ireland
| | - Hesham Elzomor
- Discipline of Cardiology, Saolta Group, Galway University Hospital, Health Service Executive and CORRIB Core Lab, National University of Ireland Galway (NUIG), Galway, H91 TK33, Ireland
| | - Christian Cawley
- Discipline of Cardiology, Saolta Group, Galway University Hospital, Health Service Executive and CORRIB Core Lab, National University of Ireland Galway (NUIG), Galway, H91 TK33, Ireland
| | - Faisal Sharif
- Discipline of Cardiology, Saolta Group, Galway University Hospital, Health Service Executive and CORRIB Core Lab, National University of Ireland Galway (NUIG), Galway, H91 TK33, Ireland
| | - James Crowley
- Discipline of Cardiology, Saolta Group, Galway University Hospital, Health Service Executive and CORRIB Core Lab, National University of Ireland Galway (NUIG), Galway, H91 TK33, Ireland
| | - Michael Kerin
- Discipline of Surgery, School of Medicine, Lambe Institute for Translational Research, National University of Ireland Galway, Galway, Ireland
- Precision Cardio-Oncology Research Enterprise (P-CORE), National University of Ireland, Galway, Ireland
| | - William Wijns
- Discipline of Cardiology, Saolta Group, Galway University Hospital, Health Service Executive and CORRIB Core Lab, National University of Ireland Galway (NUIG), Galway, H91 TK33, Ireland
- The Lambe Institute for Translational Medicine and CURAM, National University of Ireland Galway (NUIG), Galway, Ireland
- Precision Cardio-Oncology Research Enterprise (P-CORE), National University of Ireland, Galway, Ireland
| | - Aoife Lowery
- Discipline of Surgery, School of Medicine, Lambe Institute for Translational Research, National University of Ireland Galway, Galway, Ireland
- Precision Cardio-Oncology Research Enterprise (P-CORE), National University of Ireland, Galway, Ireland
| | - Osama Soliman
- Discipline of Cardiology, Saolta Group, Galway University Hospital, Health Service Executive and CORRIB Core Lab, National University of Ireland Galway (NUIG), Galway, H91 TK33, Ireland.
- Precision Cardio-Oncology Research Enterprise (P-CORE), National University of Ireland, Galway, Ireland.
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Zhou Y, Gu C, Li J, Zhu L, Huang G, Dai J, Huang H. Aberrantly expressed long noncoding RNAs and genes in Parkinson's disease. Neuropsychiatr Dis Treat 2018; 14:3219-3229. [PMID: 30538480 PMCID: PMC6257365 DOI: 10.2147/ndt.s178435] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
PURPOSE Parkinson's disease (PD) is a common neurodegenerative movement disorder, but the pathogenesis remains elusive. This study was aimed to explore key genes and long noncoding RNAs (lncRNAs) associated with PD. MATERIALS AND METHODS Three patients with PD and three normal controls were enrolled in the present study from July 12, 2017, to August 29, 2017. RNA sequencing and bioinformatics analysis were performed to obtain differentially expressed micro RNAs (DEmRNAs) and lncRNAs (DElncRNAs) between patients with PD and normal controls. PD-specific protein-protein interaction networks were constructed. DEmRNAs transcribed within a 100 kb window upstream or downstream of DElncRNAs were searched, which were defined as cis nearby targeted DEmRNAs of DElncRNAs. Datasets GSE57475 and GSE68719 were downloaded from the Gene Expression Omnibus database, which were used to validate the expression of selected DEmRNAs. RESULTS A total of 857 DEmRNAs and 77 DElncRNAs were obtained between PD and normal controls. Natural killer cell-mediated cytotoxicity was a significantly enriched pathway in PD. ERBB2, HSPB1, and MYC were three hub proteins of PD-specific protein-protein interaction network. LOC105378701-TAL1, LOC102724104-CX3CR1, LOC105375056-TREML1/TREML4, LOC105379392-ANK1, and LOC101928100-KLRK1/KLRD1 interactions were identified DElncRNA nearby targeted DEmRNA pairs in PD. Gene expression results validated by GSE57475 and GSE68719 were consistent with our RNA-sequencing results, generally. CONCLUSION This present study identified key genes and lncRNAs associated with PD, which will provide new clues for exploring the pathogenesis and developing potential biomarkers of PD.
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Affiliation(s)
- Yong Zhou
- Department of Neurology, The Second Affiliated Hospital of Nantong University, The First People's Hospital of Nantong, Nantong, China,
| | - Chengzhi Gu
- Department of Neurology, The Second Affiliated Hospital of Nantong University, The First People's Hospital of Nantong, Nantong, China,
| | - Jia Li
- Department of Neurology, The Second Affiliated Hospital of Nantong University, The First People's Hospital of Nantong, Nantong, China,
| | - Lianhai Zhu
- Department of Neurology, The Second Affiliated Hospital of Nantong University, The First People's Hospital of Nantong, Nantong, China,
| | - Guoxiang Huang
- Department of Neurology, The Second Affiliated Hospital of Nantong University, The First People's Hospital of Nantong, Nantong, China,
| | - Jie Dai
- Department of Neurology, The Second Affiliated Hospital of Nantong University, The First People's Hospital of Nantong, Nantong, China,
| | - Huaiyu Huang
- Department of Neurology, The Second Affiliated Hospital of Nantong University, The First People's Hospital of Nantong, Nantong, China,
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Jiménez-Jiménez FJ, Alonso-Navarro H, García-Martín E, Agúndez JAG. Advances in understanding genomic markers and pharmacogenetics of Parkinson's disease. Expert Opin Drug Metab Toxicol 2016; 12:433-48. [PMID: 26910127 DOI: 10.1517/17425255.2016.1158250] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
INTRODUCTION The inheritance pattern of Parkinson's disease (PD) is likely multifactorial (owing to the interplay of genetic predisposition and environmental factors). Many pharmacogenetic studies have tried to establish a possible role of candidate genes in PD risk. Several studies have focused on the influence of genes in the response to antiparkinsonian drugs and in the risk of developing side-effects of these drugs. AREAS COVERED This review presents an overview of current knowledge, with particular emphasis on the most recent advances, both in case-control association studies on the role of candidate genes in the risk for PD as well as pharmacogenetic studies on the role of genes in the development of side effects of antiparkinsonian drugs. The most reliable results should be derived from meta-analyses of case-control association studies on candidate genes involving large series of PD patients and controls, and from genome-wide association studies (GWAS). EXPERT OPINION Prospective studies of large samples involving several genes with a detailed history of exposure to environmental factors in the same cohort of subjects, should be useful to clarify the role of genes in the risk for PD. The results of studies on the role of genes in the development of side-effects of antiparkinsonian drugs should, at this stage, only be considered preliminary.
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Affiliation(s)
| | | | | | - José A G Agúndez
- b Department of Pharmacology , University of Extremadura , Cáceres , Spain
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Stanton SE, Ward MM, Christos P, Sanford R, Lam C, Cobham MV, Donovan D, Scheff RJ, Cigler T, Moore A, Vahdat LT, Lane ME, Chuang E. Pro1170 Ala polymorphism in HER2-neu is associated with risk of trastuzumab cardiotoxicity. BMC Cancer 2015; 15:267. [PMID: 25885598 PMCID: PMC4403678 DOI: 10.1186/s12885-015-1298-6] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2015] [Accepted: 03/31/2015] [Indexed: 11/17/2022] Open
Abstract
Background Variations in single nucleotide polymorphisms (SNPs) have been associated with enhanced drug efficacy and toxicity in cancer therapy. SNP variations in the ErbB2 gene have been identified that alter the protein sequence of the HER2-neu protein, but how these polymorphisms affect prognosis and response to HER2 targeted therapy is unknown. We examined eleven ErbB2 SNPs that alter the HER2-neu amino acid sequence to determine whether any of these particular polymorphisms were associated with increased trastuzumab cardiotoxicity in a case–control study. Methods 140 subjects were enrolled from a single institution under Weill Cornell Medical College IRB protocol #0804009734. Patients were eligible if they had histologically or cytologically proven HER2-neu positive breast cancer and more than 3 months of trastuzumab therapy. Cases had either symptomatic CHF or a decline in LVEF of 15% (or if the LVEF <55%, a decline in LVEF of 10%) that resulted in at least temporary discontinuation of trastuzumab, whereas controls had no decline in their LVEF. Eleven ErbB2 single gene SNPs that resulted in an alteration in the HER2-neu protein amino acid sequence were studied. Single gene SNP analysis was carried out using SNP genotyping assays from genomic DNA obtained from peripheral blood or buccal swab. Results Only two of the ErbB2 SNPs (Ile 655 Val and Pro 1170 Ala) were found to have variation. There was no association between codon 665 and cardiotoxicity; however the proline variant of amino acid 1170 was more likely than the alanine variant to be found in cases with trastuzumab cardiotoxicity (35% of case patients as compared to 17% of controls, p = 0.04). This association remained significant in multivariable analysis taking into account age, race, and history of hypertension (adjusted OR = 2.60, 95% CI = 1.02, 6.62, p = 0.046). Conclusions The Her2/neu Pro 1170 Ala polymorphism can be used to identify a subset of patients who are at increased risk of cardiotoxicity from trastuzumab therapy. Her2/neu single nucleotide polymorphisms may be useful in conjunction with other biomarkers to risk stratify patients in order to optimize clinical management.
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Affiliation(s)
- Sasha E Stanton
- Department of Medicine, Weill Cornell Medical College, 425 E 61st St. 8th floor, New York, NY, 10065, USA. .,Current address: Tumor Vaccine Group, University of Washington, 850 Republican Street Box 358050, Seattle, WA, 98102, USA.
| | - Maureen M Ward
- Department of Medicine, Weill Cornell Medical College, 425 E 61st St. 8th floor, New York, NY, 10065, USA.
| | - Paul Christos
- Department of Healthcare Policy and Research, Division of Biostatistics and Epidemiology, Weill Cornell Medical College, New York, NY, 10065, USA.
| | - Rachel Sanford
- Department of Medicine, Weill Cornell Medical College, 425 E 61st St. 8th floor, New York, NY, 10065, USA.
| | - Christina Lam
- Department of Medicine, Weill Cornell Medical College, 425 E 61st St. 8th floor, New York, NY, 10065, USA.
| | - Marta V Cobham
- Department of Medicine, Weill Cornell Medical College, 425 E 61st St. 8th floor, New York, NY, 10065, USA.
| | - Diana Donovan
- Department of Medicine, Weill Cornell Medical College, 425 E 61st St. 8th floor, New York, NY, 10065, USA.
| | - Ronald J Scheff
- Department of Medicine, Weill Cornell Medical College, 425 E 61st St. 8th floor, New York, NY, 10065, USA.
| | - Tessa Cigler
- Department of Medicine, Weill Cornell Medical College, 425 E 61st St. 8th floor, New York, NY, 10065, USA.
| | - Anne Moore
- Department of Medicine, Weill Cornell Medical College, 425 E 61st St. 8th floor, New York, NY, 10065, USA.
| | - Linda T Vahdat
- Department of Medicine, Weill Cornell Medical College, 425 E 61st St. 8th floor, New York, NY, 10065, USA.
| | - Maureen E Lane
- Department of Medicine, Weill Cornell Medical College, 425 E 61st St. 8th floor, New York, NY, 10065, USA.
| | - Ellen Chuang
- Department of Medicine, Weill Cornell Medical College, 425 E 61st St. 8th floor, New York, NY, 10065, USA.
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