2012
DOI: 10.1158/1538-7445.am2012-4808
|View full text |Cite
|
Sign up to set email alerts
|

Abstract 4808: Discovery of a phospho-signature predicting response to dasatinib in non-small cell lung cancer

Abstract: Since targeted drugs selectively block molecular pathways that are typically over-activated in tumour cells, they are more precise and show fewer adverse effects than traditional chemotherapeutic agents. At the same time the proportion of patients that benefit from targeted drugs is smaller. Therefore, predictive molecular markers are needed to confidently predict the patient's response to a specific therapy. Such markers would facilitate therapy personalization, where the selected therapy is based on the mole… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2013
2013
2013
2013

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(2 citation statements)
references
References 0 publications
0
2
0
Order By: Relevance
“…Furthermore, to gain insights in cellular regulation global effects of drugs on post-translational modifications (e.g. phosphorylation, ubiquitinylation, acetylation, glycosylation) are regularly studied [52][53][54][55][56][57][58][59][60].…”
Section: Global Proteomics Approachesmentioning
confidence: 99%
See 1 more Smart Citation
“…Furthermore, to gain insights in cellular regulation global effects of drugs on post-translational modifications (e.g. phosphorylation, ubiquitinylation, acetylation, glycosylation) are regularly studied [52][53][54][55][56][57][58][59][60].…”
Section: Global Proteomics Approachesmentioning
confidence: 99%
“…A number of successful studies focused on a specific post-translational modification. For instance, phosphorylation studies in Dasatinib versus untreated lung cancer were carried out [57,58]. One Dasatinib study was designed to elucidate signaling pathways and potential targets.…”
Section: Global Proteomics Approachesmentioning
confidence: 99%