Literature DB >> 11559565

Distinctive molecular profiles of high-grade and low-grade gliomas based on oligonucleotide microarray analysis.

D S Rickman1, M P Bobek, D E Misek, R Kuick, M Blaivas, D M Kurnit, J Taylor, S M Hanash.   

Abstract

Astrocytomas are heterogeneous intracranial glial neoplasms ranging from the highly aggressive malignant glioblastoma multiforme (GBM) to the indolent, low-grade pilocytic astrocytoma. We have investigated whether DNA microarrays can identify gene expression differences between high-grade and low-grade glial tumors. We compared the transcriptional profile of 45 astrocytic tumors including 21 GBMs and 19 pilocytic astrocytomas using oligonucleotide-based microarrays. Of the approximately 6800 genes that were analyzed, a set of 360 genes provided a molecular signature that distinguished between GBMs and pilocytic astrocytomas. Many transcripts that were increased in GBM were not previously associated with gliomas and were found to encode proteins with properties that suggest their involvement in cell proliferation or cell migration. Microarray-based data for a subset of genes was validated using real-time quantitative reverse transcription-PCR. Immunohistochemical analysis also localized the protein products of specific genes of interest to the neoplastic cells of high-grade astrocytomas. Our study has identified a large number of novel genes with distinct expression patterns in high-grade and low-grade gliomas.

Entities:  

Mesh:

Year:  2001        PMID: 11559565

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  104 in total

1.  Large-scale meta-analysis of cancer microarray data identifies common transcriptional profiles of neoplastic transformation and progression.

Authors:  Daniel R Rhodes; Jianjun Yu; K Shanker; Nandan Deshpande; Radhika Varambally; Debashis Ghosh; Terrence Barrette; Akhilesh Pandey; Arul M Chinnaiyan
Journal:  Proc Natl Acad Sci U S A       Date:  2004-06-07       Impact factor: 11.205

2.  Coexpression analysis of human genes across many microarray data sets.

Authors:  Homin K Lee; Amy K Hsu; Jon Sajdak; Jie Qin; Paul Pavlidis
Journal:  Genome Res       Date:  2004-06       Impact factor: 9.043

3.  Mining microarrays for metabolic meaning: nutritional regulation of hypothalamic gene expression.

Authors:  Charles V Mobbs; Kelvin Yen; Jason Mastaitis; Ha Nguyen; Elizabeth Watson; Elisa Wurmbach; Stuart C Sealfon; Andrew Brooks; Stephen R J Salton
Journal:  Neurochem Res       Date:  2004-06       Impact factor: 3.996

4.  Phenotypic variation resulting from a deficiency of epidermal growth factor receptor in mice is caused by extensive genetic heterogeneity that can be genetically and molecularly partitioned.

Authors:  Karen E Strunk; Vicky Amann; David W Threadgill
Journal:  Genetics       Date:  2004-08       Impact factor: 4.562

5.  ONCOMINE: a cancer microarray database and integrated data-mining platform.

Authors:  Daniel R Rhodes; Jianjun Yu; K Shanker; Nandan Deshpande; Radhika Varambally; Debashis Ghosh; Terrence Barrette; Akhilesh Pandey; Arul M Chinnaiyan
Journal:  Neoplasia       Date:  2004 Jan-Feb       Impact factor: 5.715

6.  FoxM1B regulates NEDD4-1 expression, leading to cellular transformation and full malignant phenotype in immortalized human astrocytes.

Authors:  Bingbing Dai; Russell O Pieper; Dawei Li; Ping Wei; Mingguang Liu; Shiao Y Woo; Kenneth D Aldape; Raymond Sawaya; Keping Xie; Suyun Huang
Journal:  Cancer Res       Date:  2010-03-23       Impact factor: 12.701

7.  Induced interleukin-33 expression enhances the tumorigenic activity of rat glioma cells.

Authors:  Kuan-Min Fang; Chung-Shi Yang; Tzu-Chien Lin; Ti-Chun Chan; Shun-Fen Tzeng
Journal:  Neuro Oncol       Date:  2013-12-09       Impact factor: 12.300

8.  Gene expression profiling of human gliomas reveals differences between GBM and LGA related to energy metabolism and notch signaling pathways.

Authors:  Javier Margareto; Olatz Leis; Eider Larrarte; Miguel A Idoate; Alejandro Carrasco; José Vicente Lafuente
Journal:  J Mol Neurosci       Date:  2007       Impact factor: 3.444

9.  Tumor prognostic factors and the challenge of developing predictive factors.

Authors:  Emma B Holliday; Erik P Sulman
Journal:  Curr Oncol Rep       Date:  2013-02       Impact factor: 5.075

10.  Profiling of pathway-specific changes in gene expression following growth of human cancer cell lines transplanted into mice.

Authors:  Chad Creighton; Rork Kuick; David E Misek; David S Rickman; Franck M Brichory; Jean-Marie Rouillard; Gilbert S Omenn; Samir Hanash
Journal:  Genome Biol       Date:  2003-06-23       Impact factor: 13.583

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.