胶质瘤(glioma)相关资料收集

Jimmy

首先是维基百科的：
胶质瘤[编辑]

最常见的脑瘤是胶质瘤（glioma），其源自胶细胞，而胶细胞是脑组织中的支持性组织。其分类为[8]：

• 星状细胞瘤（Astrocytoma）：是最常见的胶质瘤，占胶质瘤的70~80%，可生长在脑或脊髓内的任何地方。成人的星状细胞瘤大多长在大脑，而儿童的星状细胞瘤则常长在小脑及脑干。就肿瘤的恶性度而言，可分为四级如下： 第一级-毛状星细胞瘤（Pilocytic Astrocytoma），第二级-星细胞瘤（Astrocytoma）属低恶性肿瘤，第三级-分化不良星细胞瘤（Anaplastic Astrocytoma；AA），第四级-多型性神经胶母细胞瘤（Glioblastoma Multiform；GBM）属恶性肿瘤。
• 寡树突胶质瘤（Oligodendroglioma）
• 室管膜瘤（Ependymoma）
  

非胶质瘤[编辑]

其它的非胶质脑瘤，常见的有下列几种：

• 胚芽肿瘤（Embryonal Tumor）：属恶性肿瘤，依部位及分化程度可分为髓母细胞瘤（Medulloblastoma）、室管膜母细胞瘤（Ependymoblastoma）、原始性神经外胚层肿瘤（Primitive Neuroectodermal Tumor；PNET）以及非典型性畸胎样横纹肌肉瘤（Atypical Rhabdoid／Terotoid Tumor；AT／RT）
• 脑膜瘤（Meningioma）
• 颅咽管瘤（Craniopharyngioma）
• 神经鞘瘤（Schwannoma）
• 神经节胶质细胞瘤（Ganglioglioma）
• 脑下垂体肿瘤（Pituitary Adenoma）
• 脉络丛肿瘤（Choroid Plexus Tumor）
  

然后是关于glioma的遗传性质探索相关资料：
http://www.cell.com/cancer-cell/abstract/S1535-6108(15)00224-X
http://genesdev.cshlp.org/content/15/11/1311.full.pdf
http://pubs.rsna.org/doi/pdf/10.1148/rg.316115512
http://thejns.org/doi/pdf/10.3171/2012.12.FOCUS12349
http://advances.sciencemag.org/content/advances/2/3/e1501354.full.pdf
http://www.brainlife.org/fulltext/2011/Nikiforova_MN110500.pdf


[size=0.8465em]Cancer J. 2014 Jan-Feb;20(1):66-72. doi: 10.1097/PPO.0000000000000020.
Molecular genetics of gliomas.
http://www.ncbi.nlm.nih.gov/pubmed/24445767

最后是各大医学圣地关于glioma的知识
glioma:
There are over 120 different types of brain tumors (National Brain Tumor Society). The most common primary brain tumors are called gliomas
http://www.cancercenter.com/brain-cancer/types/
http://www.roneurosurgery.eu/atdoc/1Florian_Risk.pdf
https://www.cdph.ca.gov/programs/ccr/Documents/GlioblastomaAdult-08.pdf
http://www.abta.org/brain-tumor-information/types-of-tumors/glioma.html
http://www.cancerresearchuk.org/about-cancer/type/brain-tumour/about/types-of-primary-brain-tumours
http://www.cancerresearchuk.org/about-cancer/type/brain-tumour/treatment/types/treatment-for-glioma
https://www.mdanderson.org/publications/cancerwise/2013/04/understanding-glioblastoma.html
http://www.hopkinsmedicine.org/neurology_neurosurgery/centers_clinics/brain_tumor/center/glioma/
http://www.mayoclinic.org/diseases-conditions/glioma/home/ovc-20129412
http://www.irsa.org/glioblastoma.html
http://brain.mgh.harvard.edu/PatientGuide.htm
http://www.everydayhealth.com/brain-tumor/glioblastoma-multiforme.aspx
http://www.uptodate.com/contents/high-grade-glioma-in-adults-beyond-the-basics
http://www.aans.org/patient%20information/conditions%20and%20treatments/glioblastoma%20multiforme.aspx
https://www.nlm.nih.gov/medlineplus/ency/article/007222.htm
https://zh.wikipedia.org/wiki/%E8%84%91%E8%82%BF%E7%98%A4
https://www.mycancergenome.org/content/disease/glioma/
https://cancer.osu.edu/cancer-specialties/cancer-care-and-treatment/gliomas

Jimmy

GBM is the most common and also the most devastating brain tumor, with a 5-year survival rate below 10%.
article :http://www.sciencedirect.com/sci ... i/S1535610812003649
Cancer Cell
Volume 22, Issue 4, 16 October 2012, Pages 425–437
我也不知道为什么要读它，但是感觉，每篇文献都还有好多不懂的！
里面用到的分类包都已经淘汰了：Package ‘clusterCons’ was removed from the CRAN repository.

We identified six epigenetic GBM subgroups displaying characteristic global DNA methylation patterns, harboring distinct hotspot mutations, DNA copy-number alterations, and transcriptomic patterns.
Based on correlations with mutational status, DNA copy-number aberrations, and gene expression signatures, as outlined below, we have labeled these subgroups “IDH,” “K27,” “G34,” “RTK I (PDGFRA),” “Mesenchymal,” and “RTK II (Classic).”
the TCGA to classify 122 of the above tumors with available transcriptome data into one of four gene expression subtypes: Proneural, Neural, Mesenchymal, and Classical

http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE34824        paediatric glioblastomas        HG-U133_Plus_2
http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE36245        Glioblastoma        HG-U133_Plus_2
http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE36278        Illumina HumanMethylation450 BeadChip         childhood (n=59) and adult GBMs (n=77)

For unsupervised consensus clustering we used the 8,000 most variable methylated probes (by standard deviation) across the data set (R package: clusterCons)
The significance analysis of microarrays (SAM) method was used to identify genes that are differentially methylated or differentially expressed between subgroups.
Kaplan-Meier analysis was performed to estimate the survival time of different GBM subgroups and a log rank test was used to test for differences of more than one survival curve.