2004
DOI: 10.1016/s1470-2045(04)01382-8
|View full text |Cite
|
Sign up to set email alerts
|

Genomics-based hypothesis generation: a novel approach to unravelling drug resistance in brain tumours?

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
18
0

Year Published

2006
2006
2014
2014

Publication Types

Select...
5
2
1

Relationship

0
8

Authors

Journals

citations
Cited by 15 publications
(18 citation statements)
references
References 49 publications
0
18
0
Order By: Relevance
“…These primers correspond to the nucleotide position 3537-3808. ABCC1 primers were designed from human MRP1 cDNA (Genbank Accession No: NM_004996) The forward and reverse primers designed for ABCC1 were 5…”
Section: Mdckii-mrp2 Cells-mdckii-mrp2mentioning
confidence: 99%
See 1 more Smart Citation
“…These primers correspond to the nucleotide position 3537-3808. ABCC1 primers were designed from human MRP1 cDNA (Genbank Accession No: NM_004996) The forward and reverse primers designed for ABCC1 were 5…”
Section: Mdckii-mrp2 Cells-mdckii-mrp2mentioning
confidence: 99%
“…MRP's can confer drug resistance and cause reduced accumulation of therapeutic agents. A reduction in intracellular drug concentrations was found to correlate with the expression of Pgp encoded by multidrug resistance (MDR1) gene and a transmembrane phosphoglycoprotein (MRP) (Bredel et al, 2004;Sawicka et al, 2004). Also, collective role of P-gp and MRPs in efflux of drug molecules has been reported (Xiao et al, 2005).…”
Section: Introductionmentioning
confidence: 98%
“…Such networks built during clinical and preclinical studies can also be used to monitor patients undergoing treatment after the clinical trial. These will be extremely useful for monitoring patients undergoing customized drug treatment in the future [59,62,63].…”
Section: Study Of Diseasesmentioning
confidence: 99%
“…Bredel et al [66] have comprehensively reviewed the use of gene expression profiling in human brain tumors and pointed out that drug resistance here is likely to involve a complex network of regulatory dynamics. Recently, Pomeroy et al [61] showed that a variety of classification techniques, including weighted voting (WV), k-nearest neighbors (k-NN), support vector machines (SVMs), and IBM SPLASH could be used to predict clinical outcome of a group of 60 medulloblastoma patients from their gene expression profiles.…”
Section: Predicting Medulloblastoma Clinical Outcomementioning
confidence: 99%