Lung Cancer
Conditions
Keywords
adenocarcinoma of the lung, recurrent non-small cell lung cancer, stage 0 non-small cell lung cancer, stage I non-small cell lung cancer, stage II non-small cell lung cancer, stage IIIA non-small cell lung cancer, stage IIIB non-small cell lung cancer, stage IV non-small cell lung cancer
Brief summary
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.
Detailed description
OBJECTIVES: Primary * To determine the correlation between c-Met expression, mutation and amplification, with stage and overall survival in patients with adenocarcinoma (AC) of the lung. Secondary * To determine the correlation with epithelial mesenchymal transition (EMT), EGFR mutations and expression, Kras mutations, p53 mutations, c-CBL protein expression, mutation, loss of heterozygosity (LOH), DUB3 expression & regulation, and ALK translocation, with respect to survival. * To determine the correlation with circulating c-Met and HGF in AC and evaluate prognostic implications of circulating markers in AC of lung. * To determine (when available) levels of circulating Met and HGF in serum before and after surgery. 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.
Interventions
OTHERlaboratory biomarker analysis
Correlative Studies
Sponsors
National Cancer Institute (NCI)
Alliance for Clinical Trials in Oncology
Study design
Observational model
COHORT
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Registration to Cancer and Leukemia Group B (CALGB) 140202 * Institutional Review Board (IRB) review and approval at the institution where the laboratory work will be performed is required * Informed consent: the CALGB does not require that a separate consent form be signed for this study * The subject population to be studied in this protocol includes patients selected from CALGB 140202; all such patients have signed a written informed consent document meeting all federal, state, and institutional guidelines as part of entry into that trial * All samples to be studied were obtained and stored as part of CALGB 140202; the material and data obtained from the patient's protocol record will be used to obtain appropriate clinical information; in no instance will the patient be contacted directly * There should be no physical, psychological, social, or legal risks associated with this study; no invasive procedures are recommended or requested * All appropriate and necessary procedures will be utilized to maintain confidentiality; all patients who have had samples submitted for analysis will have their CALGB study number used to identify specimens * This study does not require direct patient contact and no specific risk or benefits to individuals involved in the trial are anticipated; it is likely, however, that the information gained will substantially help similar patients in the future
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| c-Met expression | 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. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Mutations in EGFR, Kras, p53, and c-CBL | 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. |
| c-CBL expression and LOH | 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. |
| DUB3 expression and regulation | 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. |
| EMT expression | 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. |
| Circulating c-Met and HGF in AC | 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. |
| Prognostic implications of circulating markers in AC of lung | Baseline | — |
| Levels of circulating Met and HGF in serum before and after surgery (when available) | At time of surgery | — |
| ALK Translocation | 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. |
Countries
United States
Outcome results
None listed