The EurOPDX Data Portal: an open platform for patient-derived cancer xenograft data sharing and visualization

Author:

Dudová Zdenka,Conte Nathalie,Mason Jeremy,Stuchlík Dalibor,Peša Radim,Halmagyi Csaba,Perova Zinaida,Mosaku Abayomi,Thorne Ross,Follette Alex,Pivarč Ľuboslav,Šašinka Radim,Usman Muhammad,Neuhauser Steven,Begley Dale A.,Krupke Debra M.,Frassà Massimiliano,Fiori Alessandro,Corsi Riccardo,Vezzadini Luca,Isella Claudio,Bertotti Andrea,Bult Carol,Parkinson Helen,Medico Enzo,Meehan Terrence,Křenek AlešORCID

Abstract

Abstract 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.

Funder

horizon 2020

Publisher

Springer Science and Business Media LLC

Subject

Genetics,Biotechnology

Reference19 articles.

1. 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;63:151–6. https://doi.org/10.1016/j.copbio.2020.01.003 Epub 2020 Feb 18. PMID: 32070860.

2. Byrne AT, Alférez DG, Amant F, Annibali D, Arribas J, Biankin AV, et al. Interrogating open issues in cancer precision medicine with patient-derived xenografts. Nat Rev Cancer. 2017;17(4):254–68. https://doi.org/10.1038/nrc.2016.140 Epub 2017 Jan 20. Erratum in: Nat Rev Cancer. 2017 Sep 15; PMID: 28104906.

3. Sartore-Bianchi A, Trusolino L, Martino C, Bencardino K, Lonardi S, Bergamo F, et al. 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):738–46. https://doi.org/10.1016/S1470-2045(16)00150-9 Epub 2016 Apr 20. Erratum in: Lancet Oncol. 2016 Oct;17 (10 ):e420. PMID: 27108243.

4. Meehan TF, Conte N, Goldstein T, Inghirami G, Murakami MA, Brabetz S, et al. PDX-MI: minimal information for patient-derived tumor xenograft models. Cancer Res. 2017;77(21):e62–6. https://doi.org/10.1158/0008-5472.CAN-17-0582 PMID: 29092942; PMCID: PMC5738926.

5. Conte N, Mason JC, Halmagyi C, Neuhauser S, Mosaku A, Yordanova G, et al. PDX Finder: a portal for patient-derived tumor xenograft model discovery. Nucleic Acids Res. 2019;47(D1):D1073–9. https://doi.org/10.1093/nar/gky984.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3