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PDXliver: a database of liver cancer patient derived xenograft mouse models
BACKGROUND: Liver cancer is the second leading cause of cancer-related deaths and characterized by heterogeneity and drug resistance. Patient-derived xenograft (PDX) models have been widely used in cancer research because they reproduce the characteristics of original tumors. However, the current st...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5944069/ https://www.ncbi.nlm.nih.gov/pubmed/29743053 http://dx.doi.org/10.1186/s12885-018-4459-6 |
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author | He, Sheng Hu, Bo Li, Chao Lin, Ping Tang, Wei-Guo Sun, Yun-Fan Feng, Fang-You-Min Guo, Wei Li, Jia Xu, Yang Yao, Qian-Lan Zhang, Xin Qiu, Shuang-Jian Zhou, Jian Fan, Jia Li, Yi-Xue Li, Hong Yang, Xin-Rong |
author_facet | He, Sheng Hu, Bo Li, Chao Lin, Ping Tang, Wei-Guo Sun, Yun-Fan Feng, Fang-You-Min Guo, Wei Li, Jia Xu, Yang Yao, Qian-Lan Zhang, Xin Qiu, Shuang-Jian Zhou, Jian Fan, Jia Li, Yi-Xue Li, Hong Yang, Xin-Rong |
author_sort | He, Sheng |
collection | PubMed |
description | BACKGROUND: Liver cancer is the second leading cause of cancer-related deaths and characterized by heterogeneity and drug resistance. Patient-derived xenograft (PDX) models have been widely used in cancer research because they reproduce the characteristics of original tumors. However, the current studies of liver cancer PDX mice are scattered and the number of available PDX models are too small to represent the heterogeneity of liver cancer patients. To improve this situation and to complement available PDX models related resources, here we constructed a comprehensive database, PDXliver, to integrate and analyze liver cancer PDX models. DESCRIPTION: Currently, PDXliver contains 116 PDX models from Chinese liver cancer patients, 51 of them were established by the in-house PDX platform and others were curated from the public literatures. These models are annotated with complete information, including clinical characteristics of patients, genome-wide expression profiles, germline variations, somatic mutations and copy number alterations. Analysis of expression subtypes and mutated genes show that PDXliver represents the diversity of human patients. Another feature of PDXliver is storing drug response data of PDX mice, which makes it possible to explore the association between molecular profiles and drug sensitivity. All data can be accessed via the Browse and Search pages. Additionally, two tools are provided to interactively visualize the omics data of selected PDXs or to compare two groups of PDXs. CONCLUSION: As far as we known, PDXliver is the first public database of liver cancer PDX models. We hope that this comprehensive resource will accelerate the utility of PDX models and facilitate liver cancer research. The PDXliver database is freely available online at: http://www.picb.ac.cn/PDXliver/ |
format | Online Article Text |
id | pubmed-5944069 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-59440692018-05-14 PDXliver: a database of liver cancer patient derived xenograft mouse models He, Sheng Hu, Bo Li, Chao Lin, Ping Tang, Wei-Guo Sun, Yun-Fan Feng, Fang-You-Min Guo, Wei Li, Jia Xu, Yang Yao, Qian-Lan Zhang, Xin Qiu, Shuang-Jian Zhou, Jian Fan, Jia Li, Yi-Xue Li, Hong Yang, Xin-Rong BMC Cancer Database BACKGROUND: Liver cancer is the second leading cause of cancer-related deaths and characterized by heterogeneity and drug resistance. Patient-derived xenograft (PDX) models have been widely used in cancer research because they reproduce the characteristics of original tumors. However, the current studies of liver cancer PDX mice are scattered and the number of available PDX models are too small to represent the heterogeneity of liver cancer patients. To improve this situation and to complement available PDX models related resources, here we constructed a comprehensive database, PDXliver, to integrate and analyze liver cancer PDX models. DESCRIPTION: Currently, PDXliver contains 116 PDX models from Chinese liver cancer patients, 51 of them were established by the in-house PDX platform and others were curated from the public literatures. These models are annotated with complete information, including clinical characteristics of patients, genome-wide expression profiles, germline variations, somatic mutations and copy number alterations. Analysis of expression subtypes and mutated genes show that PDXliver represents the diversity of human patients. Another feature of PDXliver is storing drug response data of PDX mice, which makes it possible to explore the association between molecular profiles and drug sensitivity. All data can be accessed via the Browse and Search pages. Additionally, two tools are provided to interactively visualize the omics data of selected PDXs or to compare two groups of PDXs. CONCLUSION: As far as we known, PDXliver is the first public database of liver cancer PDX models. We hope that this comprehensive resource will accelerate the utility of PDX models and facilitate liver cancer research. The PDXliver database is freely available online at: http://www.picb.ac.cn/PDXliver/ BioMed Central 2018-05-09 /pmc/articles/PMC5944069/ /pubmed/29743053 http://dx.doi.org/10.1186/s12885-018-4459-6 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Database He, Sheng Hu, Bo Li, Chao Lin, Ping Tang, Wei-Guo Sun, Yun-Fan Feng, Fang-You-Min Guo, Wei Li, Jia Xu, Yang Yao, Qian-Lan Zhang, Xin Qiu, Shuang-Jian Zhou, Jian Fan, Jia Li, Yi-Xue Li, Hong Yang, Xin-Rong PDXliver: a database of liver cancer patient derived xenograft mouse models |
title | PDXliver: a database of liver cancer patient derived xenograft mouse models |
title_full | PDXliver: a database of liver cancer patient derived xenograft mouse models |
title_fullStr | PDXliver: a database of liver cancer patient derived xenograft mouse models |
title_full_unstemmed | PDXliver: a database of liver cancer patient derived xenograft mouse models |
title_short | PDXliver: a database of liver cancer patient derived xenograft mouse models |
title_sort | pdxliver: a database of liver cancer patient derived xenograft mouse models |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5944069/ https://www.ncbi.nlm.nih.gov/pubmed/29743053 http://dx.doi.org/10.1186/s12885-018-4459-6 |
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