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Rashid R, Copelli S, Silverstein JC, Becich MJ. REDCap and the National Mesothelioma Virtual Bank-a scalable and sustainable model for rare disease biorepositories. J Am Med Inform Assoc 2023; 30:1634-1644. [PMID: 37487555 PMCID: PMC10531116 DOI: 10.1093/jamia/ocad132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 05/16/2023] [Accepted: 07/10/2023] [Indexed: 07/26/2023] Open
Abstract
OBJECTIVE Rare disease research requires data sharing networks to power translational studies. We describe novel use of Research Electronic Data Capture (REDCap), a web application for managing clinical data, by the National Mesothelioma Virtual Bank, a federated biospecimen, and data sharing network. MATERIALS AND METHODS National Mesothelioma Virtual Bank (NMVB) uses REDCap to integrate honest broker activities, enabling biospecimen and associated clinical data provisioning to investigators. A Web Portal Query tool was developed to source and visualize REDCap data in interactive, faceted search, enabling cohort discovery by public users. An AWS Lambda function behind an API calculates the counts visually presented, while protecting record level data. The user-friendly interface, quick responsiveness, automatic generation from REDCap, and flexibility to new data, was engineered to sustain the NMVB research community. RESULTS NMVB implementations enabled a network of 8 research institutions with over 2000 mesothelioma cases, including clinical annotations and biospecimens, and public users' cohort discovery and summary statistics. NMVB usage and impact is demonstrated by high website visits (>150 unique queries per month), resource use requests (>50 letter of interests), and citations (>900) to papers published using NMVB resources. DISCUSSION NMVB's REDCap implementation and query tool is a framework for implementing federated and integrated rare disease biobanks and registries. Advantages of this framework include being low-cost, modular, scalable, and efficient. Future advances to NVMB's implementations will include incorporation of -omics data and development of downstream analysis tools to advance mesothelioma and rare disease research. CONCLUSION NVMB presents a framework for integrating biobanks and patient registries to enable translational research for rare diseases.
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Affiliation(s)
- Rumana Rashid
- Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
- Medical Scientist Training Program, University of Pittsburgh-Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
| | - Susan Copelli
- Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Jonathan C Silverstein
- Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Michael J Becich
- Department of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
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2
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Foss-Skiftesvik J, Li S, Rosenbaum A, Hagen CM, Stoltze UK, Ljungqvist S, Hjalmars U, Schmiegelow K, Morimoto L, de Smith AJ, Mathiasen R, Metayer C, Hougaard D, Melin B, Walsh KM, Bybjerg-Grauholm J, Dahlin AM, Wiemels JL. Multi-ancestry genome-wide association study of 4069 children with glioma identifies 9p21.3 risk locus. Neuro Oncol 2023; 25:1709-1720. [PMID: 36810956 PMCID: PMC10484172 DOI: 10.1093/neuonc/noad042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Indexed: 02/24/2023] Open
Abstract
BACKGROUND Although recent sequencing studies have revealed that 10% of childhood gliomas are caused by rare germline mutations, the role of common variants is undetermined and no genome-wide significant risk loci for pediatric central nervous system tumors have been identified to date. METHODS Meta-analysis of 3 population-based genome-wide association studies comprising 4069 children with glioma and 8778 controls of multiple genetic ancestries. Replication was performed in a separate case-control cohort. Quantitative trait loci analyses and a transcriptome-wide association study were conducted to assess possible links with brain tissue expression across 18 628 genes. RESULTS Common variants in CDKN2B-AS1 at 9p21.3 were significantly associated with astrocytoma, the most common subtype of glioma in children (rs573687, P-value of 6.974e-10, OR 1.273, 95% CI 1.179-1.374). The association was driven by low-grade astrocytoma (P-value of 3.815e-9) and exhibited unidirectional effects across all 6 genetic ancestries. For glioma overall, the association approached genome-wide significance (rs3731239, P-value of 5.411e-8), while no significant association was observed for high-grade tumors. Predicted decreased brain tissue expression of CDKN2B was significantly associated with astrocytoma (P-value of 8.090e-8). CONCLUSIONS In this population-based genome-wide association study meta-analysis, we identify and replicate 9p21.3 (CDKN2B-AS1) as a risk locus for childhood astrocytoma, thereby establishing the first genome-wide significant evidence of common variant predisposition in pediatric neuro-oncology. We furthermore provide a functional basis for the association by showing a possible link to decreased brain tissue CDKN2B expression and substantiate that genetic susceptibility differs between low- and high-grade astrocytoma.
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Affiliation(s)
- Jon Foss-Skiftesvik
- Department of Neurosurgery, Rigshospitalet University Hospital, Copenhagen, Denmark
- Department of Pediatrics and Adolescent Medicine, Rigshospitalet University Hospital, Copenhagen, Denmark
- Section for Neonatal Genetics, Statens Serum Institute, Copenhagen, Denmark
| | - Shaobo Li
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA
| | - Adam Rosenbaum
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | | | - Ulrik Kristoffer Stoltze
- Department of Pediatrics and Adolescent Medicine, Rigshospitalet University Hospital, Copenhagen, Denmark
- Department of Clinical Genetics, Rigshospitalet University Hospital, Copenhagen, Denmark
| | - Sally Ljungqvist
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - Ulf Hjalmars
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - Kjeld Schmiegelow
- Department of Pediatrics and Adolescent Medicine, Rigshospitalet University Hospital, Copenhagen, Denmark
| | - Libby Morimoto
- Center for Personalized Medicine, Children’s Hospital of Los Angeles, Los Angeles, California, USA
| | - Adam J de Smith
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA
| | - René Mathiasen
- Department of Pediatrics and Adolescent Medicine, Rigshospitalet University Hospital, Copenhagen, Denmark
| | - Catherine Metayer
- School of Public Health, University of California, Berkeley, Berkeley, California, USA
| | - David Hougaard
- Section for Neonatal Genetics, Statens Serum Institute, Copenhagen, Denmark
| | - Beatrice Melin
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - Kyle M Walsh
- Division of Neuro-Epidemiology, Department of Neurosurgery, Duke University, Durham, North Carolina, USA
| | | | - Anna M Dahlin
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - Joseph L Wiemels
- Center for Genetic Epidemiology, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, California, USA
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3
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Mainwaring OJ, Weishaupt H, Zhao M, Rosén G, Borgenvik A, Breinschmid L, Verbaan AD, Richardson S, Thompson D, Clifford SC, Hill RM, Annusver K, Sundström A, Holmberg KO, Kasper M, Hutter S, Swartling FJ. ARF suppression by MYC but not MYCN confers increased malignancy of aggressive pediatric brain tumors. Nat Commun 2023; 14:1221. [PMID: 36869047 PMCID: PMC9984535 DOI: 10.1038/s41467-023-36847-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 02/20/2023] [Indexed: 03/05/2023] Open
Abstract
Medulloblastoma, the most common malignant pediatric brain tumor, often harbors MYC amplifications. Compared to high-grade gliomas, MYC-amplified medulloblastomas often show increased photoreceptor activity and arise in the presence of a functional ARF/p53 suppressor pathway. Here, we generate an immunocompetent transgenic mouse model with regulatable MYC that develop clonal tumors that molecularly resemble photoreceptor-positive Group 3 medulloblastoma. Compared to MYCN-expressing brain tumors driven from the same promoter, pronounced ARF silencing is present in our MYC-expressing model and in human medulloblastoma. While partial Arf suppression causes increased malignancy in MYCN-expressing tumors, complete Arf depletion promotes photoreceptor-negative high-grade glioma formation. Computational models and clinical data further identify drugs targeting MYC-driven tumors with a suppressed but functional ARF pathway. We show that the HSP90 inhibitor, Onalespib, significantly targets MYC-driven but not MYCN-driven tumors in an ARF-dependent manner. The treatment increases cell death in synergy with cisplatin and demonstrates potential for targeting MYC-driven medulloblastoma.
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Affiliation(s)
- Oliver J Mainwaring
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Holger Weishaupt
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Miao Zhao
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Gabriela Rosén
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Anna Borgenvik
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Laura Breinschmid
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Annemieke D Verbaan
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Stacey Richardson
- Wolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University Centre for Cancer, Newcastle upon Tyne, NE1 7RU, UK
| | - Dean Thompson
- Wolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University Centre for Cancer, Newcastle upon Tyne, NE1 7RU, UK
| | - Steven C Clifford
- Wolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University Centre for Cancer, Newcastle upon Tyne, NE1 7RU, UK
| | - Rebecca M Hill
- Wolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University Centre for Cancer, Newcastle upon Tyne, NE1 7RU, UK
| | - Karl Annusver
- Department of Cell and Molecular Biology, Karolinska Institutet, 171 77, Stockholm, Sweden
| | - Anders Sundström
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Karl O Holmberg
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Maria Kasper
- Department of Cell and Molecular Biology, Karolinska Institutet, 171 77, Stockholm, Sweden
| | - Sonja Hutter
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Fredrik J Swartling
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden.
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4
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Borgenvik A, Holmberg KO, Bolin S, Zhao M, Savov V, Rosén G, Hutter S, Garancher A, Rahmanto AS, Bergström T, Olsen TK, Mainwaring OJ, Sattanino D, Verbaan AD, Rusert JM, Sundström A, Bravo MB, Dang Y, Wenz AS, Richardson S, Fotaki G, Hill RM, Dubuc AM, Kalushkova A, Remke M, Čančer M, Jernberg-Wiklund H, Giraud G, Chen X, Taylor MD, Sangfelt O, Clifford SC, Schüller U, Wechsler-Reya RJ, Weishaupt H, Swartling FJ. Dormant SOX9-Positive Cells Facilitate MYC-Driven Recurrence of Medulloblastoma. Cancer Res 2022; 82:4586-4603. [PMID: 36219398 PMCID: PMC9755969 DOI: 10.1158/0008-5472.can-22-2108] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 09/01/2022] [Accepted: 10/07/2022] [Indexed: 01/24/2023]
Abstract
Relapse is the leading cause of death in patients with medulloblastoma, the most common malignant pediatric brain tumor. A better understanding of the mechanisms underlying recurrence could lead to more effective therapies for targeting tumor relapses. Here, we observed that SOX9, a transcription factor and stem cell/glial fate marker, is limited to rare, quiescent cells in high-risk medulloblastoma with MYC amplification. In paired primary-recurrent patient samples, SOX9-positive cells accumulated in medulloblastoma relapses. SOX9 expression anti-correlated with MYC expression in murine and human medulloblastoma cells. However, SOX9-positive cells were plastic and could give rise to a MYC high state. To follow relapse at the single-cell level, an inducible dual Tet model of medulloblastoma was developed, in which MYC expression was redirected in vivo from treatment-sensitive bulk cells to dormant SOX9-positive cells using doxycycline treatment. SOX9 was essential for relapse initiation and depended on suppression of MYC activity to promote therapy resistance, epithelial-mesenchymal transition, and immune escape. p53 and DNA repair pathways were downregulated in recurrent tumors, whereas MGMT was upregulated. Recurrent tumor cells were found to be sensitive to treatment with an MGMT inhibitor and doxorubicin. These findings suggest that recurrence-specific targeting coupled with DNA repair inhibition comprises a potential therapeutic strategy in patients affected by medulloblastoma relapse. SIGNIFICANCE SOX9 facilitates therapy escape and recurrence in medulloblastoma via temporal inhibition of MYC/MYCN genes, revealing a strategy to specifically target SOX9-positive cells to prevent tumor relapse.
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Affiliation(s)
- Anna Borgenvik
- Department of Immunology, Genetics, and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Karl O. Holmberg
- Department of Immunology, Genetics, and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Sara Bolin
- Department of Immunology, Genetics, and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Miao Zhao
- Department of Immunology, Genetics, and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Vasil Savov
- Department of Immunology, Genetics, and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Gabriela Rosén
- Department of Immunology, Genetics, and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Sonja Hutter
- Department of Immunology, Genetics, and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Alexandra Garancher
- Tumor Initiation & Maintenance Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, San Diego, California
| | | | - Tobias Bergström
- Department of Immunology, Genetics, and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Thale Kristin Olsen
- Department of Immunology, Genetics, and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Oliver J. Mainwaring
- Department of Immunology, Genetics, and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Damiana Sattanino
- Department of Immunology, Genetics, and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Annemieke D. Verbaan
- Department of Immunology, Genetics, and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Jessica M. Rusert
- Tumor Initiation & Maintenance Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, San Diego, California
| | - Anders Sundström
- Department of Immunology, Genetics, and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Mar Ballester Bravo
- Department of Immunology, Genetics, and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Yonglong Dang
- Department of Immunology, Genetics, and Pathology, Science for Life Laboratory, Biomedical Centre, Uppsala University, Uppsala, Sweden
| | - Amelie S. Wenz
- Department of Immunology, Genetics, and Pathology, Science for Life Laboratory, Biomedical Centre, Uppsala University, Uppsala, Sweden
| | - Stacey Richardson
- Wolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University Centre for Cancer, Newcastle upon Tyne, United Kingdom
| | - Grammatiki Fotaki
- Department of Immunology, Genetics, and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Rebecca M. Hill
- Wolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University Centre for Cancer, Newcastle upon Tyne, United Kingdom
| | - Adrian M. Dubuc
- The Arthur and Sonia Labatt Brain Tumor Research Centre, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Antonia Kalushkova
- Department of Immunology, Genetics, and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Marc Remke
- The Arthur and Sonia Labatt Brain Tumor Research Centre, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Matko Čančer
- Department of Immunology, Genetics, and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Helena Jernberg-Wiklund
- Department of Immunology, Genetics, and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Géraldine Giraud
- Department of Immunology, Genetics, and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Xingqi Chen
- Department of Immunology, Genetics, and Pathology, Science for Life Laboratory, Biomedical Centre, Uppsala University, Uppsala, Sweden
| | - Michael D. Taylor
- The Arthur and Sonia Labatt Brain Tumor Research Centre, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Olle Sangfelt
- Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden
| | - Steven C. Clifford
- Wolfson Childhood Cancer Research Centre, Translational and Clinical Research Institute, Newcastle University Centre for Cancer, Newcastle upon Tyne, United Kingdom
| | - Ulrich Schüller
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Department of Paediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Research Institute Children's Cancer Center Hamburg, Hamburg, Germany
| | - Robert J. Wechsler-Reya
- Tumor Initiation & Maintenance Program, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, San Diego, California
| | - Holger Weishaupt
- Department of Immunology, Genetics, and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden
| | - Fredrik J. Swartling
- Department of Immunology, Genetics, and Pathology, Science for Life Laboratory, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden.,Corresponding Author: Fredrik J. Swartling, Department of Immunology, Genetics and Pathology, Uppsala University, Rudbeck Laboratory, Uppsala 751 85, Sweden. E-mail:
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5
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Aubin RG, Troisi EC, Montelongo J, Alghalith AN, Nasrallah MP, Santi M, Camara PG. Pro-inflammatory cytokines mediate the epithelial-to-mesenchymal-like transition of pediatric posterior fossa ependymoma. Nat Commun 2022; 13:3936. [PMID: 35803925 PMCID: PMC9270322 DOI: 10.1038/s41467-022-31683-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 06/28/2022] [Indexed: 12/13/2022] Open
Abstract
Pediatric ependymoma is a devastating brain cancer marked by its relapsing pattern and lack of effective chemotherapies. This shortage of treatments is due to limited knowledge about ependymoma tumorigenic mechanisms. By means of single-nucleus chromatin accessibility and gene expression profiling of posterior fossa primary tumors and distal metastases, we reveal key transcription factors and enhancers associated with the differentiation of ependymoma tumor cells into tumor-derived cell lineages and their transition into a mesenchymal-like state. We identify NFκB, AP-1, and MYC as mediators of this transition, and show that the gene expression profiles of tumor cells and infiltrating microglia are consistent with abundant pro-inflammatory signaling between these populations. In line with these results, both TGF-β1 and TNF-α induce the expression of mesenchymal genes on a patient-derived cell model, and TGF-β1 leads to an invasive phenotype. Altogether, these data suggest that tumor gliosis induced by inflammatory cytokines and oxidative stress underlies the mesenchymal phenotype of posterior fossa ependymoma.
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Affiliation(s)
- Rachael G Aubin
- Department of Genetics and Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Emma C Troisi
- Department of Genetics and Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Javier Montelongo
- Department of Genetics and Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Adam N Alghalith
- Department of Genetics and Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Chemistry, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Maclean P Nasrallah
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Mariarita Santi
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Department of Pathology, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Pablo G Camara
- Department of Genetics and Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
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6
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Zhang PF, Zheng XH, Li XZ, Sun L, Jia WH. Informatics Management of Tumor Specimens in the Era of Big Data: Challenges and Solutions. Biopreserv Biobank 2021; 19:531-542. [PMID: 34030478 DOI: 10.1089/bio.2020.0084] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Biomedical data bear the potential to facilitate personalized diagnosis and precision treatment. In the era of Big Data, high-quality annotation of human specimens has become the primary mission of biobankers, especially for tumor biobanks with large amounts of "omics" and clinical data. However, the lack of agreed-upon standardization and the gap among heterogeneous databases make information application and communication a major challenge. International efforts are underway to develop national projects on informatics management. The aim of this review is to provide references in specimen annotation to regulate and take full advantage of biological and biomedical information. First, critical data categories that are vital for specimen applications, including sample attributes, clinical data, preanalytical variations, and analytical records, are systematically listed for subsequent data mining. Second, current standards and guidelines related to biospecimen information are reviewed, and proper standards for tumor biobanks are recommended. In particular, commonly-used approaches and functionalities of data management are summarized and discussed. This review highlights the importance of informatics management of tumor specimens, defines critical data types, recommends data standards, and presents the methodologies of data harmonization for biobankers to reach high quality annotation of biospecimens.
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Affiliation(s)
- Pei-Fen Zhang
- State Key Laboratory of Oncology in South China, Tumor Biobank, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, P. R. China
| | - Xiao-Hui Zheng
- State Key Laboratory of Oncology in South China, Tumor Biobank, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, P. R. China
| | - Xi-Zhao Li
- State Key Laboratory of Oncology in South China, Tumor Biobank, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, P. R. China
| | - Lin Sun
- Department of Information, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, P. R. China
| | - Wei-Hua Jia
- State Key Laboratory of Oncology in South China, Tumor Biobank, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, P. R. China
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7
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Schieffer KM, Agarwal V, LaHaye S, Miller KE, Koboldt DC, Lichtenberg T, Leraas K, Brennan P, Kelly BJ, Crist E, Rusin J, Finlay JL, Osorio DS, Sribnick EA, Leonard JR, Feldman A, Orr BA, Serrano J, Vasudevaraja V, Snuderl M, White P, Magrini V, Wilson RK, Mardis ER, Boué DR, Cottrell CE. YAP1-FAM118B Fusion Defines a Rare Subset of Childhood and Young Adulthood Meningiomas. Am J Surg Pathol 2021; 45:329-340. [PMID: 33074854 DOI: 10.1097/pas.0000000000001597] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Meningiomas are a central nervous system tumor primarily afflicting adults, with <1% of cases diagnosed during childhood or adolescence. Somatic variation in NF2 may be found in ∼50% of meningiomas, with other genetic drivers (eg, SMO, AKT1, TRAF7) contributing to NF2 wild-type tumors. NF2 is an upstream negative regulator of YAP signaling and loss of the NF2 protein product, Merlin, results in YAP overexpression and target gene transcription. This mechanism of dysregulation is described in NF2-driven meningiomas, but further work is necessary to understand the NF2-independent mechanism of tumorigenesis. Amid our institutional patient-centric comprehensive molecular profiling study, we identified an individual with meningioma harboring a YAP1-FAM118B fusion, previously reported only in supratentorial ependymoma. The tumor histopathology was remarkable, characterized by prominent islands of calcifying fibrous nodules within an overall collagen-rich matrix. To gain insight into this finding, we subsequently evaluated the genetic landscape of 11 additional pediatric and adolescent/young adulthood meningioma patients within the Children's Brain Tumor Tissue Consortium. A second individual harboring a YAP1-FAM118B gene fusion was identified within this database. Transcriptomic profiling suggested that YAP1-fusion meningiomas are biologically distinct from NF2-driven meningiomas. Similar to other meningiomas, however, YAP1-fusion meningiomas demonstrated overexpression of EGFR and MET. DNA methylation profiling further distinguished YAP1-fusion meningiomas from those observed in ependymomas. In summary, we expand the genetic spectrum of somatic alteration associated with NF2 wild-type meningioma to include the YAP1-FAM118B fusion and provide support for aberrant signaling pathways potentially targetable by therapeutic intervention.
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Affiliation(s)
| | - Vibhuti Agarwal
- Division of Hematology, Oncology, and Bone Marrow Transplant
| | | | | | - Daniel C Koboldt
- The Steve and Cindy Rasmussen Institute for Genomic Medicine.,Departments of Pediatrics
| | | | - Kristen Leraas
- The Steve and Cindy Rasmussen Institute for Genomic Medicine
| | - Patrick Brennan
- The Steve and Cindy Rasmussen Institute for Genomic Medicine
| | | | - Erin Crist
- The Steve and Cindy Rasmussen Institute for Genomic Medicine
| | | | - Jonathan L Finlay
- Division of Hematology, Oncology, and Bone Marrow Transplant.,Departments of Pediatrics.,Division of Hematology and Oncology, The Ohio State University College of Medicine, Columbus, OH
| | - Diana S Osorio
- Division of Hematology, Oncology, and Bone Marrow Transplant.,Departments of Pediatrics.,Division of Hematology and Oncology, The Ohio State University College of Medicine, Columbus, OH
| | | | | | | | - Brent A Orr
- St. Jude Children's Research Hospital, Memphis, TN
| | - Jonathan Serrano
- Department of Pathology, New York University Langone Health, New York City, NY
| | | | - Matija Snuderl
- Department of Pathology, New York University Langone Health, New York City, NY
| | - Peter White
- The Steve and Cindy Rasmussen Institute for Genomic Medicine.,Departments of Pediatrics
| | - Vincent Magrini
- The Steve and Cindy Rasmussen Institute for Genomic Medicine.,Departments of Pediatrics
| | - Richard K Wilson
- The Steve and Cindy Rasmussen Institute for Genomic Medicine.,Departments of Pediatrics
| | - Elaine R Mardis
- The Steve and Cindy Rasmussen Institute for Genomic Medicine.,Departments of Pediatrics
| | - Daniel R Boué
- Pathology and Laboratory Medicine, Nationwide Children's Hospital.,Pathology
| | - Catherine E Cottrell
- The Steve and Cindy Rasmussen Institute for Genomic Medicine.,Departments of Pediatrics.,Pathology
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8
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Purohit S, Calyam P, Alarcon ML, Bhamidipati NR, Mosa A, Salah K. HonestChain: Consortium blockchain for protected data sharing in health information systems. PEER-TO-PEER NETWORKING AND APPLICATIONS 2021; 14:3012-3028. [PMID: 33968293 PMCID: PMC8092970 DOI: 10.1007/s12083-021-01153-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Accepted: 04/02/2021] [Indexed: 05/05/2023]
Abstract
Healthcare innovations are increasingly becoming reliant on high variety and standards-compliant (e.g., HIPAA, common data model) distributed data sets that enable predictive analytics. Consequently, health information systems need to be developed using cooperation and distributed trust principles to allow protected data sharing between multiple domains or entities (e.g., health data service providers, hospitals and research labs). In this paper, we present a novel health information sharing system viz., HonestChain that uses Blockchain technology to allow organizations to have incentive-based and trustworthy cooperation to either access or provide protected healthcare records. More specifically, we use a consortium Blockchain approach coupled with chatbot guided interfaces that allow data requesters to: (a) comply with data access standards, and (b) allow them to gain reputation in a consortium. We also propose a reputation scheme for creation and sustenance of the consortium with peers using Requester Reputation and Provider Reputation metrics. We evaluate HonestChain using Hyperledger Composer in a realistic simulation testbed on a public cloud infrastructure. Our results show that our HonestChain performs better than the state-of-the-art requester reputation schemes for data request handling, while choosing the most appropriate provider peers. We particularly show that HonestChain achieves a better tradeoff in metrics such as service time and request resubmission rate. Additionally, we also demonstrate the scalability of our consortium platform in terms of the Blockchain transaction times.
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Affiliation(s)
| | | | | | | | - Abu Mosa
- University of Missouri-Columbia, Columbia, MO USA
| | - Khaled Salah
- University of Missouri-Columbia, Columbia, MO USA
- Khalifa University, Abu Dhabi, UAE
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9
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Gagalova KK, Leon Elizalde MA, Portales-Casamar E, Görges M. What You Need to Know Before Implementing a Clinical Research Data Warehouse: Comparative Review of Integrated Data Repositories in Health Care Institutions. JMIR Form Res 2020; 4:e17687. [PMID: 32852280 PMCID: PMC7484778 DOI: 10.2196/17687] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Revised: 06/09/2020] [Accepted: 07/17/2020] [Indexed: 12/23/2022] Open
Abstract
Background Integrated data repositories (IDRs), also referred to as clinical data warehouses, are platforms used for the integration of several data sources through specialized analytical tools that facilitate data processing and analysis. IDRs offer several opportunities for clinical data reuse, and the number of institutions implementing an IDR has grown steadily in the past decade. Objective The architectural choices of major IDRs are highly diverse and determining their differences can be overwhelming. This review aims to explore the underlying models and common features of IDRs, provide a high-level overview for those entering the field, and propose a set of guiding principles for small- to medium-sized health institutions embarking on IDR implementation. Methods We reviewed manuscripts published in peer-reviewed scientific literature between 2008 and 2020, and selected those that specifically describe IDR architectures. Of 255 shortlisted articles, we found 34 articles describing 29 different architectures. The different IDRs were analyzed for common features and classified according to their data processing and integration solution choices. Results Despite common trends in the selection of standard terminologies and data models, the IDRs examined showed heterogeneity in the underlying architecture design. We identified 4 common architecture models that use different approaches for data processing and integration. These different approaches were driven by a variety of features such as data sources, whether the IDR was for a single institution or a collaborative project, the intended primary data user, and purpose (research-only or including clinical or operational decision making). Conclusions IDR implementations are diverse and complex undertakings, which benefit from being preceded by an evaluation of requirements and definition of scope in the early planning stage. Factors such as data source diversity and intended users of the IDR influence data flow and synchronization, both of which are crucial factors in IDR architecture planning.
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Affiliation(s)
- Kristina K Gagalova
- Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada.,Bioinformatics Graduate Program, University of British Columbia, Vancouver, BC, Canada.,Research Institute, BC Children's Hospital, Vancouver, BC, Canada
| | - M Angelica Leon Elizalde
- Research Institute, BC Children's Hospital, Vancouver, BC, Canada.,School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - Elodie Portales-Casamar
- Research Institute, BC Children's Hospital, Vancouver, BC, Canada.,Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada
| | - Matthias Görges
- Research Institute, BC Children's Hospital, Vancouver, BC, Canada.,Department of Anesthesiology, Pharmacology and Therapeutics, University of British Columbia, Vancouver, BC, Canada
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10
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Della Togna G, Howell LG, Clulow J, Langhorne CJ, Marcec-Greaves R, Calatayud NE. Evaluating amphibian biobanking and reproduction for captive breeding programs according to the Amphibian Conservation Action Plan objectives. Theriogenology 2020; 150:412-431. [PMID: 32127175 DOI: 10.1016/j.theriogenology.2020.02.024] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Accepted: 02/16/2020] [Indexed: 01/18/2023]
Abstract
The Amphibian Conservation Action Plan (ACAP), published in 2007, is a formal document of international significance that proposed eleven relevant actions for global amphibian conservation. Action seven of the ACAP document addresses the use of amphibian captive programs as a conservation tool. Appendix material under this action explores the potential use of Genome Resource Banking (biobanking) as an urgently needed tool for these captive programs. ACAP proposed twelve objectives for Genome Resource Banking which exhibit little emphasis on reproduction as a vital underlying science for amphibian Captive Breeding Programs (CBP's). Here we have reassessed the original twelve ACAP objectives for amphibian reproduction and biobanking for CBP's as a contribution to future ACAP review processes. We have reviewed recent advances since the original objectives, as well as highlighted weaknesses and strengths for each of these objectives. We make various scientific, policy and economic recommendations based on the current reality and recent advances in relevant science in order to inform future ACAP towards new global objectives. The number of amphibian CBP'S has escalated in recent years and reproductive success is not always easily accomplished. Increases in applied and fundamental research on the natural history and reproductive biology of these species, followed by the appropriate development and application of artificial reproductive technologies (ART's) and the incorporation of genome resource banks (GRB's), may turn CBP's into a more powerful tool for amphibian conservation.
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Affiliation(s)
- Gina Della Togna
- Universidad Interamericana de Panama, Dirección de Investigación, Campus Central, Avenida Ricardo J. Alfaro, Panama; Smithsonian Tropical Research Institute, Panama Amphibian Rescue and Conservation Project, Panama.
| | - Lachlan G Howell
- University of Newcastle, Conservation Biology Research Group, University Drive, Callaghan, NSW, 2308, Australia
| | - John Clulow
- University of Newcastle, Conservation Biology Research Group, University Drive, Callaghan, NSW, 2308, Australia
| | | | - Ruth Marcec-Greaves
- National Amphibian Conservation Center, Detroit Zoological Society, Royal Oak, MI, 48067, USA
| | - Natalie E Calatayud
- San Diego Zoo Institute for Conservation Research, San Pasqual Valley Road, Escondido, CA, 92027, USA; Taronga Institute of Science and Learning, Taronga Conservation Society Australia, Taronga Western Plains Zoo, Dubbo, NSW, 2830, Australia
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11
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Azad RK, Shulaev V. Metabolomics technology and bioinformatics for precision medicine. Brief Bioinform 2019; 20:1957-1971. [PMID: 29304189 PMCID: PMC6954408 DOI: 10.1093/bib/bbx170] [Citation(s) in RCA: 84] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2017] [Revised: 11/29/2017] [Indexed: 12/14/2022] Open
Abstract
Precision medicine is rapidly emerging as a strategy to tailor medical treatment to a small group or even individual patients based on their genetics, environment and lifestyle. Precision medicine relies heavily on developments in systems biology and omics disciplines, including metabolomics. Combination of metabolomics with sophisticated bioinformatics analysis and mathematical modeling has an extreme power to provide a metabolic snapshot of the patient over the course of disease and treatment or classifying patients into subpopulations and subgroups requiring individual medical treatment. Although a powerful approach, metabolomics have certain limitations in technology and bioinformatics. We will review various aspects of metabolomics technology and bioinformatics, from data generation, bioinformatics analysis, data fusion and mathematical modeling to data management, in the context of precision medicine.
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Affiliation(s)
| | - Vladimir Shulaev
- Corresponding author: Vladimir Shulaev, Department of Biological Sciences, BioDiscovery Institute, University of North Texas, Denton, TX 76210, USA. Tel.: 940-369-5368; Fax: 940-565-3821; E-mail:
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12
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Naugler C, Church DL. Clinical laboratory utilization management and improved healthcare performance. Crit Rev Clin Lab Sci 2019. [DOI: 10.1080/10408363.2018.1526164] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Christopher Naugler
- Department of Pathology and Laboratory Medicine, University of Calgary, Calgary, Canada
- Department of Family Medicine, University of Calgary, Calgary, Canada
- Department of Community Health Sciences, University of Calgary, Calgary, Canada
| | - Deirdre L. Church
- Department of Pathology and Laboratory Medicine, University of Calgary, Calgary, Canada
- Department of Medicine, University of Calgary, Calgary, Canada
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13
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Guerrero S, López-Cortés A, Indacochea A, García-Cárdenas JM, Zambrano AK, Cabrera-Andrade A, Guevara-Ramírez P, González DA, Leone PE, Paz-Y-Miño C. Analysis of Racial/Ethnic Representation in Select Basic and Applied Cancer Research Studies. Sci Rep 2018; 8:13978. [PMID: 30228363 PMCID: PMC6143551 DOI: 10.1038/s41598-018-32264-x] [Citation(s) in RCA: 68] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Accepted: 07/26/2018] [Indexed: 12/15/2022] Open
Abstract
Over the past decades, consistent studies have shown that race/ethnicity have a great impact on cancer incidence, survival, drug response, molecular pathways and epigenetics. Despite the influence of race/ethnicity in cancer outcomes and its impact in health care quality, a comprehensive understanding of racial/ethnic inclusion in oncological research has never been addressed. We therefore explored the racial/ethnic composition of samples/individuals included in fundamental (patient-derived oncological models, biobanks and genomics) and applied cancer research studies (clinical trials). Regarding patient-derived oncological models (n = 794), 48.3% have no records on their donor's race/ethnicity, the rest were isolated from White (37.5%), Asian (10%), African American (3.8%) and Hispanic (0.4%) donors. Biobanks (n = 8,293) hold specimens from unknown (24.56%), White (59.03%), African American (11.05%), Asian (4.12%) and other individuals (1.24%). Genomic projects (n = 6,765,447) include samples from unknown (0.6%), White (91.1%), Asian (5.6%), African American (1.7%), Hispanic (0.5%) and other populations (0.5%). Concerning clinical trials (n = 89,212), no racial/ethnic registries were found in 66.95% of participants, and records were mainly obtained from Whites (25.94%), Asians (4.97%), African Americans (1.08%), Hispanics (0.16%) and other minorities (0.9%). Thus, two tendencies were observed across oncological studies: lack of racial/ethnic information and overrepresentation of Caucasian/White samples/individuals. These results clearly indicate a need to diversify oncological studies to other populations along with novel strategies to enhanced race/ethnicity data recording and reporting.
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Affiliation(s)
- Santiago Guerrero
- Centro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Av. Mariscal Sucre and Mariana de Jesús, Block I, 2nd floor, 170129, Quito, Ecuador.
| | - Andrés López-Cortés
- Centro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Av. Mariscal Sucre and Mariana de Jesús, Block I, 2nd floor, 170129, Quito, Ecuador
| | - Alberto Indacochea
- Gene Regulation, Stem Cells and Cancer Programme, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Oncology and Molecular Pathology Research Group-VHIR- Vall d' Hebron Institut de Recerca-Vall d' Hebron Hospital, P/de la Vall d'Hebron, Barcelona, Spain
| | - Jennyfer M García-Cárdenas
- Centro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Av. Mariscal Sucre and Mariana de Jesús, Block I, 2nd floor, 170129, Quito, Ecuador
| | - Ana Karina Zambrano
- Centro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Av. Mariscal Sucre and Mariana de Jesús, Block I, 2nd floor, 170129, Quito, Ecuador
| | - Alejandro Cabrera-Andrade
- Centro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Av. Mariscal Sucre and Mariana de Jesús, Block I, 2nd floor, 170129, Quito, Ecuador
- Carrera de Enfermería, Facultad de Ciencias de la Salud, Universidad de las Américas, Avenue de los Granados, Quito, 170125, Ecuador
- Grupo de Bio-Quimioinformática, Universidad de las Américas, Avenue de los Granados, Quito, 170125, Ecuador
| | - Patricia Guevara-Ramírez
- Centro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Av. Mariscal Sucre and Mariana de Jesús, Block I, 2nd floor, 170129, Quito, Ecuador
| | - Diana Abigail González
- Centro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Av. Mariscal Sucre and Mariana de Jesús, Block I, 2nd floor, 170129, Quito, Ecuador
| | - Paola E Leone
- Centro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Av. Mariscal Sucre and Mariana de Jesús, Block I, 2nd floor, 170129, Quito, Ecuador
| | - César Paz-Y-Miño
- Centro de Investigación Genética y Genómica, Facultad de Ciencias de la Salud Eugenio Espejo, Universidad UTE, Av. Mariscal Sucre and Mariana de Jesús, Block I, 2nd floor, 170129, Quito, Ecuador.
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