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胶质瘤(glioma)相关资料收集

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发表于 2016-9-6 16:22:58 | 显示全部楼层 |阅读模式
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





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 楼主| 发表于 2016-9-6 16:35:26 | 显示全部楼层
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.
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