Public Databases

and Cheng-Ying Ho2



(1)
Pathology, Johns Hopkins University, Baltimore, Maryland, USA

(2)
Pathology, Children’s National Medical Center, Washington, D.C., District of Columbia, USA

 




General Considerations


One of the main advantages of cancer research and the field of biomarker discovery is the public availability of high-throughput data on an unparalleled scale. This concept has been exemplified foremost by the Cancer Genome Atlas (TCGA), which aims to completely catalog at the molecular level all major cancers, an enormous effort pioneered in the study of brain cancer. Other public websites actually lower the complexity of high-throughput data analysis, including the Repository for Molecular Brain Neoplasia Data (Rembrandt) and cBIOPORTAL.


The Cancer Genome Atlas (TCGA)


The TCGA is a coordinated effort to provide comprehensive molecular information of major cancers in a systematic fashion, sponsored by the National Cancer Institute (NCI) and the National Human Genome Research Institute (http://​cancergenome.​nih.​gov/​). Cancers selected for study must fulfill the following two criteria: (1) have a poor prognosis and impact public health and (2) tissue availability (tumor + matched normal samples) of the quality required per preset stringent criteria and meeting patient consent guidelines. Samples are contributed from many major institutions across the United States and the world. Since brain cancer (glioblastoma) fulfilled these criteria early on, it was the first cancer selected for study. Through this effort, comprehensive molecular data (DNA and RNA sequencing, copy number alterations, RNA expression, gene methylation, proteomics) is collected and available as raw files to the research community.


Glioblastoma


Fortunately for the neuro-oncology community, glioblastoma represented the first human cancer selected as a model to study in the TCGA. The first manuscript describing the molecular characterization resulting from this effort was published in 2008 [1]. In this interim analysis, DNA copy number, gene expression, and DNA methylation were studied in a set of 206 glioblastomas, as well as selected gene sequencing (~600 genes) in a subset of tumors. Many genes previously known to be relevant to gliomagenesis were confirmed by this effort including oncogenes (EGFR, CDK4, PDGFRA, MDM4, MET) and tumor suppressor genes (CDKN2A/B, PTEN, RB1) which were altered at varying levels. An important outcome of this analysis is that three major core pathways (RB, p53, and receptor tyrosine kinase) were altered in the majority of the tumors studied. Furthermore, NF1 emerged as an important tumor suppressor gene altered in a subset of glioblastoma (14 %), which highlighted its relevance not only as a cause of an inherited tumor syndrome but also to sporadic glioblastoma in general.

At the same time this study was published, Parsons et al. reported the results of whole-exome sequencing studies in glioblastoma [2]. The remarkable observation of IDH (1 or 2) mutations in a subset of glioblastoma highlighted the power and potential of this approach to uncover previously unsuspected robust biomarkers using high-throughput unbiased approaches. Since then, IDH mutations have emerged as one of the most frequent early alterations in diffuse gliomas [3, 4] and almost definitional for the long-elusive “secondary glioblastoma” with a better prognosis.

In a follow-up, more comprehensive report of the TCGA, integrative molecular data was obtained from 543 glioblastomas [5]. In this more comprehensive analysis, whole-genome and whole-exome sequencing were added, as well as methylome and proteome analysis. This more refined analysis confirmed prior observations, but also provided additional data on mutations in LZTR1, a putative transcriptional regulator, and the TERT promoter, as well as novel genomic rearrangements.


Lower-Grade Glioma


This component of the TCGA focuses on a comprehensive genomic study of diffuse gliomas in adults, other than glioblastoma, grouped together under the designation of “lower-grade glioma.” These include grade II and III tumors, histologically diffuse astrocytomas, oligoastrocytomas, or oligodendrogliomas. The first observations on a cohort of 293, previously untreated tumors were published [6]. Multidimensional analysis of the data included the concurrent study of DNA methylation, gene expression, DNA/mRNA sequence, and DNA copy number analysis.

The main molecular alteration, which is a recurrent feature in these lower-grade gliomas and previously highlighted by a number of studies, is the high frequency of IDH (1 or 2) mutations [24, 7, 8]. The main overall result of this study was the delineation of three different molecular subtypes of lower-grade gliomas with clinical implications, more robust than schemes based on histopathologic analysis alone. These three subgroups were tumors with concurrent IDH mutations and 1p19q co-deletion (best prognosis, closely associated with oligodendroglioma histology, and also containing CIC, FUBP1, NOTCH1, and TERT promoter mutations at various rates), concurrent IDH and TP53 mutations (intermediate prognosis, closely associated with astrocytic histology), and IDH wild-type tumors (worse prognosis, similar to glioblastoma).

Only gold members can continue reading. Log In or Register to continue

Stay updated, free articles. Join our Telegram channel

Dec 11, 2016 | Posted by in NEUROLOGY | Comments Off on Public Databases

Full access? Get Clinical Tree

Get Clinical Tree app for offline access