2010
DOI: 10.4081/jnai.2010.1805
|View full text |Cite
|
Sign up to set email alerts
|

Predictive molecular markers for EGFR-TKI in non-small cell lung cancer patients: new insights and critical aspects

Abstract: In recent years, a number of novel agents have been investigated that target specific molecular pathways in non-small cell lung cancer (NSCLC). A great deal of effort has been focused on identifying specific markers that predict treatment response, given that a tailored approach would maximize both the therapeutic index and the cost-effectiveness. The epidermal growth factor receptor (EGFR) pathway has emerged as a key regulator of cancer cell proliferation and invasion, and several specific EGFR inhibitors ha… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2012
2012
2012
2012

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 92 publications
0
1
0
Order By: Relevance
“…In 2004, three influential studies discovered a series of somatic mutations in the kinase domain of EGFR which are associated with the response to EGFR TKI therapy [ 23 25 ]. To date, EGFR mutations are presumed to be the strongest predictive biomarker for the efficacy of EGFR TKI therapy [ 26 ] due to much higher response rate (RR, 37.5%–100% vs. 2.9%–23% [ 27 ]; 70% vs. 33.2% as a first-line treatment; 47.4% vs. 28.5% as a second-line treatment [ 28 ]) and longer overall survival (OS, 13–23 months vs. 5–17 months [ 27 ]) in mutant patients. Mok [ 29 ] summarized six clinical trials to compare the response to EGFR TKIs and chemotherapy in patients carrying positive mutations.…”
Section: Molecular Targetsmentioning
confidence: 99%
“…In 2004, three influential studies discovered a series of somatic mutations in the kinase domain of EGFR which are associated with the response to EGFR TKI therapy [ 23 25 ]. To date, EGFR mutations are presumed to be the strongest predictive biomarker for the efficacy of EGFR TKI therapy [ 26 ] due to much higher response rate (RR, 37.5%–100% vs. 2.9%–23% [ 27 ]; 70% vs. 33.2% as a first-line treatment; 47.4% vs. 28.5% as a second-line treatment [ 28 ]) and longer overall survival (OS, 13–23 months vs. 5–17 months [ 27 ]) in mutant patients. Mok [ 29 ] summarized six clinical trials to compare the response to EGFR TKIs and chemotherapy in patients carrying positive mutations.…”
Section: Molecular Targetsmentioning
confidence: 99%