The EurOPDX Data Portal: an open platform for patient-derived cancer xenograft data sharing and visualization
Language English Country Great Britain, England Media electronic
Document type Journal Article
Grant support
731105
horizon 2020
PubMed
35193494
PubMed Central
PMC8862363
DOI
10.1186/s12864-022-08367-1
PII: 10.1186/s12864-022-08367-1
Knihovny.cz E-resources
- Keywords
- Data harmonization, Database, Molecular data analysis, PDX, Research infrastructure,
- MeSH
- Heterografts MeSH
- Precision Medicine MeSH
- Humans MeSH
- Mice MeSH
- Neoplasms * genetics MeSH
- Information Dissemination MeSH
- Xenograft Model Antitumor Assays MeSH
- Animals MeSH
- Check Tag
- Humans MeSH
- Mice MeSH
- Animals MeSH
- Publication type
- Journal Article MeSH
BACKGROUND: Patient-derived xenografts (PDX) mice models play an important role in preclinical trials and personalized medicine. Sharing data on the models is highly valuable for numerous reasons - ethical, economical, research cross validation etc. The EurOPDX Consortium was established 8 years ago to share such information and avoid duplicating efforts in developing new PDX mice models and unify approaches to support preclinical research. EurOPDX Data Portal is the unified data sharing platform adopted by the Consortium. MAIN BODY: In this paper we describe the main features of the EurOPDX Data Portal ( https://dataportal.europdx.eu/ ), its architecture and possible utilization by researchers who look for PDX mice models for their research. The Portal offers a catalogue of European models accessible on a cooperative basis. The models are searchable by metadata, and a detailed view provides molecular profiles (gene expression, mutation, copy number alteration) and treatment studies. The Portal displays the data in multiple tools (PDX Finder, cBioPortal, and GenomeCruzer in future), which are populated from a common database displaying strictly mutually consistent views. (SHORT) CONCLUSION: EurOPDX Data Portal is an entry point to the EurOPDX Research Infrastructure offering PDX mice models for collaborative research, (meta)data describing their features and deep molecular data analysis according to users' interests.
Candiolo Cancer Institute FPO IRCCS S P 142 km 3 95 10060 Candiolo TO Italy
Department of Oncology University of Torino 10060 Candiolo TO Italy
Institute of Computer Science Masaryk University Šumavská 15 60200 Brno Czech Republic
Kairos3D via Agostino da Montefeltro 2 10134 Turin Italy
The Jackson Laboratory 600 Main Street Bar Harbor ME 04609 USA
See more in PubMed
Invrea F, Rovito R, Torchiaro E, Petti C, Isella C, Medico E. Patient-derived xenografts (PDXs) as model systems for human cancer. Curr Opin Biotechnol. 2020;63:151–156. doi: 10.1016/j.copbio.2020.01.003. PubMed DOI
Byrne AT, Alférez DG, Amant F, Annibali D, Arribas J, Biankin AV, Bruna A, Budinská E, Caldas C, Chang DK, Clarke RB, Clevers H, Coukos G, Dangles-Marie V, Eckhardt SG, Gonzalez-Suarez E, Hermans E, Hidalgo M, Jarzabek MA, de Jong S, Jonkers J, Kemper K, Lanfrancone L, Mælandsmo GM, Marangoni E, Marine JC, Medico E, Norum JH, Palmer HG, Peeper DS, Pelicci PG, Piris-Gimenez A, Roman-Roman S, Rueda OM, Seoane J, Serra V, Soucek L, Vanhecke D, Villanueva A, Vinolo E, Bertotti A, Trusolino L. Interrogating open issues in cancer precision medicine with patient-derived xenografts. Nat Rev Cancer. 2017;17(4):254–268. doi: 10.1038/nrc.2016.140. PubMed DOI
Sartore-Bianchi A, Trusolino L, Martino C, Bencardino K, Lonardi S, Bergamo F, Zagonel V, Leone F, Depetris I, Martinelli E, Troiani T, Ciardiello F, Racca P, Bertotti A, Siravegna G, Torri V, Amatu A, Ghezzi S, Marrapese G, Palmeri L, Valtorta E, Cassingena A, Lauricella C, Vanzulli A, Regge D, Veronese S, Comoglio PM, Bardelli A, Marsoni S, Siena S. Dual-targeted therapy with trastuzumab and lapatinib in treatment-refractory, KRAS codon 12/13 wild-type, HER2-positive metastatic colorectal cancer (HERACLES): a proof-of-concept, multicentre, open-label, phase 2 trial. Lancet Oncol. 2016;17(6):738–746. doi: 10.1016/S1470-2045(16)00150-9. PubMed DOI
Meehan TF, Conte N, Goldstein T, Inghirami G, Murakami MA, Brabetz S, Gu Z, Wiser JA, Dunn P, Begley DA, Krupke DM, Bertotti A, Bruna A, Brush MH, Byrne AT, Caldas C, Christie AL, Clark DA, Dowst H, Dry JR, Doroshow JH, Duchamp O, Evrard YA, Ferretti S, Frese KK, Goodwin NC, Greenawalt D, Haendel MA, Hermans E, Houghton PJ, Jonkers J, Kemper K, Khor TO, Lewis MT, Lloyd KCK, Mason J, Medico E, Neuhauser SB, Olson JM, Peeper DS, Rueda OM, Seong JK, Trusolino L, Vinolo E, Wechsler-Reya RJ, Weinstock DM, Welm A, Weroha SJ, Amant F, Pfister SM, Kool M, Parkinson H, Butte AJ, Bult CJ. PDX-MI: minimal information for patient-derived tumor xenograft models. Cancer Res. 2017;77(21):e62–e66. doi: 10.1158/0008-5472.CAN-17-0582. PubMed DOI PMC
Conte N, Mason JC, Halmagyi C, Neuhauser S, Mosaku A, Yordanova G, Chatzipli A, Begley DA, Krupke DM, Parkinson H, Meehan TF, Bult CJ. PDX Finder: a portal for patient-derived tumor xenograft model discovery. Nucleic Acids Res. 2019;47(D1):D1073–D1079. doi: 10.1093/nar/gky984. PubMed DOI PMC
Cerami E, Gao J, Dogrusoz U, Gross BE, Sumer SO, Aksoy BA, Jacobsen A, Byrne CJ, Heuer ML, Larsson E, Antipin Y, Reva B, Goldberg AP, Sander C, Schultz N. The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data. Cancer Discov. 2012;2(5):401–404. doi: 10.1158/2159-8290.CD-12-0095. PubMed DOI PMC
Gao J, Aksoy BA, Dogrusoz U, Dresdner G, Gross B, Sumer SO, Sun Y, Jacobsen A, Sinha R, Larsson E, Cerami E, Sander C, Schultz N. Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal. Sci Signal. 2013;6(269):pl1. doi: 10.1126/scisignal.2004088. PubMed DOI PMC
de Coronado S, Wright LW, Fragoso G, Haber MW, Hahn-Dantona EA, Hartel FW, Quan SL, Safran T, Thomas N, Whiteman L. The NCI thesaurus quality assurance life cycle. J Biomed Inform. 2009;42(3):530–539. doi: 10.1016/j.jbi.2009.01.003. PubMed DOI
Griffith M, Spies NC, Krysiak K, McMichael JF, Coffman AC, Danos AM, Ainscough BJ, Ramirez CA, Rieke DT, Kujan L, Barnell EK, Wagner AH, Skidmore ZL, Wollam A, Liu CJ, Jones MR, Bilski RL, Lesurf R, Feng YY, Shah NM, Bonakdar M, Trani L, Matlock M, Ramu A, Campbell KM, Spies GC, Graubert AP, Gangavarapu K, Eldred JM, Larson DE, Walker JR, Good BM, Wu C, Su AI, Dienstmann R, Margolin AA, Tamborero D, Lopez-Bigas N, Jones SJ, Bose R, Spencer DH, Wartman LD, Wilson RK, Mardis ER, Griffith OL. CIViC is a community knowledgebase for expert crowdsourcing the clinical interpretation of variants in cancer. Nat Genet. 2017;49(2):170–174. doi: 10.1038/ng.3774. PubMed DOI PMC
Pagel KA, Kim R, Moad K, Busby B, Zheng L, Tokheim C, Ryan M, Karchin R. Integrated informatics analysis of cancer-related variants. JCO Clin Cancer Inform. 2020;4:310–317. doi: 10.1200/CCI.19.00132. PubMed DOI PMC
Forbes SA, Beare D, Gunasekaran P, Leung K, Bindal N, Boutselakis H, Ding M, Bamford S, Cole C, Ward S, Kok CY, Jia M, De T, Teague JW, Stratton MR, McDermott U, Campbell PJ. COSMIC: exploring the world’s knowledge of somatic mutations in human cancer. Nucleic Acids Res. 2015;43(Database issue):D805–D811. doi: 10.1093/nar/gku1075. PubMed DOI PMC
Yates B, Braschi B, Gray KA, Seal RL, Tweedie S, Bruford EA. Genenames.org: the HGNC and VGNC resources in 2017. Nucleic Acids Res. 2017;45(D1):D619–D625. doi: 10.1093/nar/gkw1033. PubMed DOI PMC
Davisson MT. Rules and guidelines for genetic nomenclature in mice: excerpted version. Committee on Standardized Genetic Nomenclature for Mice. Transgenic Res. 1997;6(5):309–319. doi: 10.1023/a:1018466830035. PubMed DOI
Hastings J, Owen G, Dekker A, Ennis M, Kale N, Muthukrishnan V, Turner S, Swainston N, Mendes P, Steinbeck C. ChEBI in 2016: improved services and an expanding collection of metabolites. Nucleic Acids Res. 2016;44(D1):D1214–D1219. doi: 10.1093/nar/gkv1031. PubMed DOI PMC
Bento AP, Gaulton A, Hersey A, Bellis LJ, Chambers J, Davies M, Krüger FA, Light Y, Mak L, McGlinchey S, Nowotka M, Papadatos G, Santos R, Overington JP. The ChEMBL bioactivity database: an update. Nucleic Acids Res. 2014;42(Database issue):D1083–D1090. doi: 10.1093/nar/gkt1031. PubMed DOI PMC
Kim S, Thiessen PA, Bolton EE, Chen J, Fu G, Gindulyte A, Han L, He J, He S, Shoemaker BA, Wang J, Yu B, Zhang J, Bryant SH. PubChem substance and compound databases. Nucleic Acids Res. 2016;44(D1):D1202–D1213. doi: 10.1093/nar/gkv951. PubMed DOI PMC
Merkel D. Docker: lightweight Linux containers for consistent development and deployment. Linux J. 2014;2014(239):2.
Umbraco content management system. https://umbraco.com/. Accessed 20 July 2021.
Linden M, Procházka M, Lappalainen I, Bucik D, Vyskocil P, Kuba M, Silén S, Belmann P, Sczyrba A, Newhouse S, Matyska L, Nyrönen T. Common ELIXIR service for researcher authentication and authorisation. F1000Res. 2018;7(ELIXIR):1199. doi: 10.12688/f1000research.15161.1. PubMed DOI PMC