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Development of a Model to Predict Progression-Free Survival After Erlotinib in Patients With Non-Small Cell Lung Cancer

Development of a Model to Predict Progression Free Survival After Treatment With Erlotinib in E3503

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT00897533
Enrollment
137
Registered
2009-05-12
Start date
2007-04-13
Completion date
2008-04-13
Last updated
2017-05-19

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Lung Cancer

Keywords

recurrent non-small cell lung cancer, stage IIIB non-small cell lung cancer, stage IV non-small cell lung cancer, adenocarcinoma of the lung, squamous cell lung cancer, bronchoalveolar cell lung cancer

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.

Detailed description

OBJECTIVES: * Assess mesenchymal and epithelial markers in tissues from patients with non-small cell lung cancer treated with erlotinib hydrochloride on clinical trial ECOG-E3503. * Determine the loss of epithelial markers (E-cadherin) and gain of mesenchymal markers (vimentin/cytokeratin co-expression) in these patients. * Assess whether mesenchymal and epithelial markers are predictive of progression-free survival (PFS) of these patients. * Identify a single nucleotide polymorphism profile via whole genome mapping and other known biomarkers to predict PFS of these patients. OUTLINE: Tissue samples are analyzed by whole genome mapping for single nucleotide polymorphism (SNP) rate and by signal detection rate and by quantitative immunohistochemistry for mesenchymal (vimentin/cytokeratin) and epithelial (E-cadherin) marker transitions. After biomarker identification and gene mapping are complete, a model to predict progression-free survival in these patients is developed. PROJECTED ACCRUAL: A total of 137 samples will be accrued for this study.

Interventions

GENETICpolymorphism analysis
OTHERdiagnostic laboratory biomarker analysis
OTHERimmunohistochemistry staining method

Sponsors

National Cancer Institute (NCI)
CollaboratorNIH
ECOG-ACRIN Cancer Research Group
Lead SponsorNETWORK

Study design

Observational model
OTHER
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
No minimum to 120 Years
Healthy volunteers
No

Inclusion criteria

DISEASE CHARACTERISTICS: * Diagnosis of non-small cell lung cancer, including any of the following subtypes: * Adenocarcinoma * Squamous cell carcinoma * Bronchoalveolar carcinoma * Carcinoid * Stage IIIB or IV or recurrent disease * Must have received treatment with erlotinib hydrochloride on clinical trial ECOG-E3503 PATIENT CHARACTERISTICS: * Not specified PRIOR CONCURRENT THERAPY: * See Disease Characteristics

Design outcomes

Primary

MeasureTime frameDescription
Mesenchymal and epithelial markers1 monthMesenchymal and epithelial markers
Loss of epithelial markers (E-cadherin) and gain of mesenchymal markers (vimentin/cytokeratin co-expression)1 monthLoss of epithelial markers (E-cadherin) and gain of mesenchymal markers
Correlation of progression-free survival (PFS) by mesenchymal and epithelial markers1 monthCorrelation of progression-free survival (PFS) by mesenchymal and epithelial markers
Identification of a single nucleotide polymorphism profile via whole genome mapping and other known biomarkers to predict PFS1 monthIdentification of a single nucleotide polymorphism profile via whole genome mapping and other known biomarkers to predict PFS

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026