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Glioma-BioDP:用于可视化分子谱图以改善脑癌预后的数据库。

Glioma-BioDP: database for visualization of molecular profiles to improve prognosis of brain cancer.

机构信息

Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, 10 Center Drive, Building 10, CRC, Rm B2-3561, Bethesda, MD, 20892, USA.

Genetics Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20892, USA.

出版信息

BMC Med Genomics. 2023 Jul 15;16(1):168. doi: 10.1186/s12920-023-01593-w.

DOI:10.1186/s12920-023-01593-w
PMID:37454191
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10350252/
Abstract

Cancer researchers often seek user-friendly interactive tools for validation, exploration, analysis, and visualization of molecular profiles in cancer patient samples. To aid researchers working on the both low- and high-grade gliomas, we developed Glioma-BioDP, a web tool for exploration and visualization of RNA and protein expression profiles of interest in these tumor types. Glioma-BioDP is user friendly application that include expression data from both the low- and high-grade glioma patient samples from The Cancer Genome Atlas and enabled querying by mRNA, microRNA, and protein level expression data from Illumina HiSeq and RPPA platforms respectively. Glioma-BioDP provides advance query interface and enables users to explore the association of genes, proteins, and miRNA expression with molecular and/or histological subtypes of gliomas, surgical resection status and survival. The prognostic significance and visualization of the selected expression profiles can be explored using interactive utilities provided. This tool may also enable validation and generation of new hypotheses of novel therapies impacting gliomas that aid in personalization of treatment for optimum outcomes.

摘要

癌症研究人员通常寻求用户友好的交互式工具,用于验证、探索、分析和可视化癌症患者样本中的分子谱。为了帮助从事低级别和高级别神经胶质瘤研究的研究人员,我们开发了 Glioma-BioDP,这是一种用于探索和可视化这些肿瘤类型中感兴趣的 RNA 和蛋白质表达谱的网络工具。Glioma-BioDP 是一个用户友好的应用程序,它包含了来自癌症基因组图谱的低级别和高级别神经胶质瘤患者样本的表达数据,并分别支持通过 mRNA、microRNA 和蛋白质水平的 Illumina HiSeq 和 RPPA 平台表达数据进行查询。Glioma-BioDP 提供了高级查询界面,使用户能够探索基因、蛋白质和 miRNA 表达与神经胶质瘤的分子和/或组织学亚型、手术切除状态和生存之间的关联。使用提供的交互式实用程序可以探索选定表达谱的预后意义和可视化。该工具还可以帮助验证和生成影响神经胶质瘤的新治疗方法的新假设,从而实现最佳治疗效果的治疗个性化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46c1/10350252/711af9a31f21/12920_2023_1593_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46c1/10350252/758cd99bb493/12920_2023_1593_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46c1/10350252/8eb600425317/12920_2023_1593_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46c1/10350252/8a0dbb40faf6/12920_2023_1593_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46c1/10350252/711af9a31f21/12920_2023_1593_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46c1/10350252/758cd99bb493/12920_2023_1593_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46c1/10350252/8eb600425317/12920_2023_1593_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46c1/10350252/8a0dbb40faf6/12920_2023_1593_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/46c1/10350252/711af9a31f21/12920_2023_1593_Fig4_HTML.jpg

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本文引用的文献

1
The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary.2016 年世界卫生组织中枢神经系统肿瘤分类:概述。
Acta Neuropathol. 2016 Jun;131(6):803-20. doi: 10.1007/s00401-016-1545-1. Epub 2016 May 9.
2
Molecular Profiling Reveals Biologically Discrete Subsets and Pathways of Progression in Diffuse Glioma.分子分析揭示弥漫性胶质瘤的生物学离散亚群和进展途径。
Cell. 2016 Jan 28;164(3):550-63. doi: 10.1016/j.cell.2015.12.028.
3
Visualizing molecular profiles of glioblastoma with GBM-BioDP.
CA9、CYFIP2和LGALS3BP——一种用于辅助胶质瘤预后评估的新型生物标志物组合
Cancers (Basel). 2024 Mar 6;16(5):1069. doi: 10.3390/cancers16051069.
4
C-Myc/H19/miR-29b axis downregulates nerve/glial (NG)2 expression in glioblastoma multiforme.C-Myc/H19/miR-29b轴下调多形性胶质母细胞瘤中神经/胶质(NG)2的表达。
Mol Ther Nucleic Acids. 2024 Jan 12;35(1):102120. doi: 10.1016/j.omtn.2024.102120. eCollection 2024 Mar 12.
利用GBM-BioDP可视化胶质母细胞瘤的分子图谱。
PLoS One. 2014 Jul 10;9(7):e101239. doi: 10.1371/journal.pone.0101239. eCollection 2014.
4
Therapeutic targeting of cancers with loss of PTEN function.针对 PTEN 功能丧失的癌症的治疗靶向。
Curr Drug Targets. 2014 Jan;15(1):65-79. doi: 10.2174/1389450114666140106100909.
5
The somatic genomic landscape of glioblastoma.胶质母细胞瘤的体细胞基因组景观。
Cell. 2013 Oct 10;155(2):462-77. doi: 10.1016/j.cell.2013.09.034.
6
The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data.cBio 癌症基因组学门户:一个用于探索多维癌症基因组学数据的开放平台。
Cancer Discov. 2012 May;2(5):401-4. doi: 10.1158/2159-8290.CD-12-0095.
7
Targeting EGFR for treatment of glioblastoma: molecular basis to overcome resistance.针对胶质母细胞瘤的 EGFR 靶向治疗:克服耐药性的分子基础。
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8
edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.edgeR:一个用于数字基因表达数据差异表达分析的 Bioconductor 包。
Bioinformatics. 2010 Jan 1;26(1):139-40. doi: 10.1093/bioinformatics/btp616. Epub 2009 Nov 11.
9
The 2007 WHO classification of tumours of the central nervous system.2007年世界卫生组织中枢神经系统肿瘤分类
Acta Neuropathol. 2007 Aug;114(2):97-109. doi: 10.1007/s00401-007-0243-4. Epub 2007 Jul 6.
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