Development of a Model to Predict Progression-Free Survival After Erlotinib in Patients With Non-Small Cell Lung Cancer
2 other identifiers
observational
137
0 countries
N/A
Brief Summary
RATIONALE: Studying samples of tissue from patients with cancer in the laboratory may help doctors learn more about changes that occur in DNA and identify biomarkers related to cancer. It may also help doctors predict how patients respond to treatment with erlotinib. PURPOSE: This laboratory study is developing a model to predict progression-free survival after erlotinib in patients with non-small cell lung cancer.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Apr 2007
Shorter than P25 for all trials
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
April 13, 2007
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 13, 2008
CompletedStudy Completion
Last participant's last visit for all outcomes
April 13, 2008
CompletedFirst Submitted
Initial submission to the registry
May 9, 2009
CompletedFirst Posted
Study publicly available on registry
May 12, 2009
CompletedMay 19, 2017
May 1, 2017
1 year
May 9, 2009
May 17, 2017
Conditions
Keywords
Outcome Measures
Primary Outcomes (4)
Mesenchymal and epithelial markers
Mesenchymal and epithelial markers
1 month
Loss of epithelial markers (E-cadherin) and gain of mesenchymal markers (vimentin/cytokeratin co-expression)
Loss of epithelial markers (E-cadherin) and gain of mesenchymal markers
1 month
Correlation of progression-free survival (PFS) by mesenchymal and epithelial markers
Correlation of progression-free survival (PFS) by mesenchymal and epithelial markers
1 month
Identification of a single nucleotide polymorphism profile via whole genome mapping and other known biomarkers to predict PFS
Identification of a single nucleotide polymorphism profile via whole genome mapping and other known biomarkers to predict PFS
1 month
Interventions
Eligibility Criteria
Samples submitted for research from patients participating in E3503
Contact the study team to discuss eligibility requirements. They can help determine if this study is right for you.
Sponsors & Collaborators
- ECOG-ACRIN Cancer Research Grouplead
- National Cancer Institute (NCI)collaborator
Related Publications (1)
Amann JM, Lee JW, Roder H, Brahmer J, Gonzalez A, Schiller JH, Carbone DP. Genetic and proteomic features associated with survival after treatment with erlotinib in first-line therapy of non-small cell lung cancer in Eastern Cooperative Oncology Group 3503. J Thorac Oncol. 2010 Feb;5(2):169-78. doi: 10.1097/JTO.0b013e3181c8cbd9.
PMID: 20035238RESULT
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- STUDY CHAIR
Jill Kolesar, PharmD
University of Wisconsin, Madison
Study Design
- Study Type
- observational
- Observational Model
- OTHER
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- NETWORK
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
May 9, 2009
First Posted
May 12, 2009
Study Start
April 13, 2007
Primary Completion
April 13, 2008
Study Completion
April 13, 2008
Last Updated
May 19, 2017
Record last verified: 2017-05