University of Chicago
Boston, Massachusetts, 02115, United States
NCT Number: NCT00900328
RATIONALE: Studying samples of tumor 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.
PURPOSE: This laboratory study is looking at tumor samples from patients with lung cancer.
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Notify Me18 year and older
All sexes
Observational
Boston, Massachusetts, 02115, United States
OBJECTIVES:
Primary
Secondary
OUTLINE: This is a multicenter study.
Previously collected tissue samples from patients enrolled in CALGB 140202 are assessed for mutation analysis of c-Met, EGFR, and K-ras. DNA is examined by PCR, followed by agarose gel electrophoresis; gene amplification of c-Met is examined by real time quantitative PCR; met/HF protein in serum is examined by ELISA; and c-Met, EGFR, p53, c-CBL, DUB3 enzyme, and ALK, and epithelial mesenchymal transition examined by IHC.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Correlative Studies
Time frame: Baseline
The correlation of c-Met expression and stage will be tested using Fisher's exact test. The proportions of c-Met overexpressed in stage I and stage II or higher will be estimated as well as the confidence intervals. The correlation of c-Met expression and survival will be tested using log rank test. The hazard ratio and its confidence interval will be estimated using a Cox model with a single predictor. Summary statistics will be provided for all c-Met measures.
Time frame: Baseline
The correlation of EMT, EGFR mutations and expression, Kras mutations, p53 mutations, c-CBL protein expression, mutation, and LOH, DUB3 expression, and ALK translocation, circulating c-Met and HGF with respect to survival will be evaluated by Cox model with these markers as continuous predictors or by log rank test with these biomarkers dichotomized at certain cutoff points, such as median or ad hoc optimal cutoff points.
Time frame: Baseline
The correlation of EMT, EGFR mutations and expression, Kras mutations, p53 mutations, c-CBL protein expression, mutation, and LOH, DUB3 expression, and ALK translocation, circulating c-Met and HGF with respect to survival will be evaluated by Cox model with these markers as continuous predictors or by log rank test with these biomarkers dichotomized at certain cutoff points, such as median or ad hoc optimal cutoff points.
Time frame: Baseline
The correlation of EMT, EGFR mutations and expression, Kras mutations, p53 mutations, c-CBL protein expression, mutation, and LOH, DUB3 expression, and ALK translocation, circulating c-Met and HGF with respect to survival will be evaluated by Cox model with these markers as continuous predictors or by log rank test with these biomarkers dichotomized at certain cutoff points, such as median or ad hoc optimal cutoff points.
Time frame: Baseline
The correlation of EMT, EGFR mutations and expression, Kras mutations, p53 mutations, c-CBL protein expression, mutation, and LOH, DUB3 expression, and ALK translocation, circulating c-Met and HGF with respect to survival will be evaluated by Cox model with these markers as continuous predictors or by log rank test with these biomarkers dichotomized at certain cutoff points, such as median or ad hoc optimal cutoff points.
Time frame: Baseline
The correlation of EMT, EGFR mutations and expression, Kras mutations, p53 mutations, c-CBL protein expression, mutation, and LOH, DUB3 expression, and ALK translocation, circulating c-Met and HGF with respect to survival will be evaluated by Cox model with these markers as continuous predictors or by log rank test with these biomarkers dichotomized at certain cutoff points, such as median or ad hoc optimal cutoff points.
Time frame: Baseline
The correlation of EMT, EGFR mutations and expression, Kras mutations, p53 mutations, c-CBL protein expression, mutation, and LOH, DUB3 expression, and ALK translocation, circulating c-Met and HGF with respect to survival will be evaluated by Cox model with these markers as continuous predictors or by log rank test with these biomarkers dichotomized at certain cutoff points, such as median or ad hoc optimal cutoff points.
Time frame: Baseline
Time frame: At time of surgery
Alliance for Clinical Trials in Oncology
Other
A Pilot Project to Study the Expression of c-MET and p53 in Resected Lung Adenocarcinoma Specimens
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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