Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 18

1.

Network analysis of genomic alteration profiles reveals co-altered functional modules and driver genes for glioblastoma.

Gu Y, Wang H, Qin Y, Zhang Y, Zhao W, Qi L, Zhang Y, Wang C, Guo Z.

Mol Biosyst. 2013 Mar;9(3):467-77. doi: 10.1039/c2mb25528f. Epub 2013 Jan 23.

PMID:
23344900
2.

Molecular and Genomic Alterations in Glioblastoma Multiforme.

Crespo I, Vital AL, Gonzalez-Tablas M, Patino Mdel C, Otero A, Lopes MC, de Oliveira C, Domingues P, Orfao A, Tabernero MD.

Am J Pathol. 2015 Jul;185(7):1820-33. doi: 10.1016/j.ajpath.2015.02.023. Epub 2015 May 11. Review.

PMID:
25976245
3.

Cancer systems biology: exploring cancer-associated genes on cellular networks.

Wang E, Lenferink A, O'Connor-McCourt M.

Cell Mol Life Sci. 2007 Jul;64(14):1752-62. Review.

PMID:
17415519
4.

Network pharmacology of glioblastoma.

Aguda BD.

Curr Drug Discov Technol. 2013 Jun;10(2):125-38. Review.

PMID:
23237675
5.

Microarray-based comparative genomic hybridization (array-CGH) as a useful tool for identifying genes involved in Glioblastoma (GB).

Ruano Y, Mollejo M, de Lope AR, Hernández-Moneo JL, Martínez P, Meléndez B.

Methods Mol Biol. 2010;653:35-45. doi: 10.1007/978-1-60761-759-4_3. Review.

PMID:
20721736
6.

Genetic and signaling pathway alterations in glioblastoma: relevance to novel targeted therapies.

Rao RD, Uhm JH, Krishnan S, James CD.

Front Biosci. 2003 May 1;8:e270-80. Review.

PMID:
12700121
7.

Targeted molecular therapy of GBM.

Mischel PS, Cloughesy TF.

Brain Pathol. 2003 Jan;13(1):52-61. Review.

PMID:
12580545
8.

Integrated high-resolution genome-wide analysis of gene dosage and gene expression in human brain tumors.

Juric D, Bredel C, Sikic BI, Bredel M.

Methods Mol Biol. 2007;377:187-202. Review.

PMID:
17634618
9.

Molecular and cellular heterogeneity: the hallmark of glioblastoma.

Aum DJ, Kim DH, Beaumont TL, Leuthardt EC, Dunn GP, Kim AH.

Neurosurg Focus. 2014 Dec;37(6):E11. doi: 10.3171/2014.9.FOCUS14521. Review.

PMID:
25434380
10.

Metabolic reprogramming in glioblastoma: the influence of cancer metabolism on epigenetics and unanswered questions.

Agnihotri S, Zadeh G.

Neuro Oncol. 2016 Feb;18(2):160-72. doi: 10.1093/neuonc/nov125. Epub 2015 Jul 14. Review.

11.

Deciphering oncogenic drivers: from single genes to integrated pathways.

Chen J, Sun M, Shen B.

Brief Bioinform. 2015 May;16(3):413-28. doi: 10.1093/bib/bbu039. Epub 2014 Nov 5. Review.

PMID:
25378434
12.

Molecular heterogeneity of glioblastoma and its clinical relevance.

Eder K, Kalman B.

Pathol Oncol Res. 2014 Oct;20(4):777-87. doi: 10.1007/s12253-014-9833-3. Epub 2014 Aug 27. Review.

PMID:
25156108
13.

The cancer cell map initiative: defining the hallmark networks of cancer.

Krogan NJ, Lippman S, Agard DA, Ashworth A, Ideker T.

Mol Cell. 2015 May 21;58(4):690-8. doi: 10.1016/j.molcel.2015.05.008. Review.

14.

Cancer genome landscapes.

Vogelstein B, Papadopoulos N, Velculescu VE, Zhou S, Diaz LA Jr, Kinzler KW.

Science. 2013 Mar 29;339(6127):1546-58. doi: 10.1126/science.1235122. Review.

15.

Integrating physical and genetic maps: from genomes to interaction networks.

Beyer A, Bandyopadhyay S, Ideker T.

Nat Rev Genet. 2007 Sep;8(9):699-710. Review.

16.

Emergence of the Noncoding Cancer Genome: A Target of Genetic and Epigenetic Alterations.

Zhou S, Treloar AE, Lupien M.

Cancer Discov. 2016 Nov;6(11):1215-1229. Epub 2016 Oct 19. Review.

PMID:
27807102
17.

Characterization of potential driver mutations involved in human breast cancer by computational approaches.

Rajendran BK, Deng CX.

Oncotarget. 2017 Apr 19. doi: 10.18632/oncotarget.17225. [Epub ahead of print] Review.

18.

Applying metabolomics to understand the aggressive phenotype and identify novel therapeutic targets in glioblastoma.

Ahmed KA, Chinnaiyan P.

Metabolites. 2014 Aug 27;4(3):740-50. doi: 10.3390/metabo4030740. Review.

Supplemental Content

Support Center