Study of Tumor Samples From Patients With Lung Cancer

August 7, 2017 updated by: Alliance for Clinical Trials in Oncology

A Pilot Project to Study the Expression of c-MET and p53 in Resected Lung Adenocarcinoma Specimens

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.

Study Overview

Status

Completed

Conditions

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.

Study Type

Observational

Enrollment (Actual)

280

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Massachusetts
      • Boston, Massachusetts, United States, 02115
        • University of Chicago

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Patients with non-small cell lung adenocarcinoma enrolled on CALCB 140202

Description

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

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Ancillary-Correlative (biomarkers in resected AC specimens)
Previously collected tissue samples from patients enrolled in CALGB 140202 are assessed for mutation analysis of c-Met, EGFR, Kras, p53, and c-CBL via standard PCR and sequencing; gene amplification of c-Met via real time quantitative PCR; LOH analysis of c-CBL; expression levels of met/HGF protein in serum via ELISA; and expression levels of c-Met, EGFR, p53, c-CBL, DUB3, ALK, and EMT via IHC.
Correlative Studies

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
c-Met expression
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.
Baseline

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
EMT expression
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.
Baseline
Mutations in EGFR, Kras, p53, and c-CBL
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.
Baseline
c-CBL expression and LOH
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.
Baseline
DUB3 expression and regulation
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.
Baseline
ALK Translocation
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.
Baseline
Circulating c-Met and HGF in AC
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.
Baseline
Prognostic implications of circulating markers in AC of lung
Time Frame: Baseline
Baseline
Levels of circulating Met and HGF in serum before and after surgery (when available)
Time Frame: At time of surgery
At time of surgery

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Study Chair: Ravi Salgia, MD, PhD, University of Chicago

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

September 1, 2008

Primary Completion (Actual)

February 1, 2012

Study Completion (Actual)

September 1, 2012

Study Registration Dates

First Submitted

May 9, 2009

First Submitted That Met QC Criteria

May 9, 2009

First Posted (Estimate)

May 12, 2009

Study Record Updates

Last Update Posted (Actual)

August 8, 2017

Last Update Submitted That Met QC Criteria

August 7, 2017

Last Verified

August 1, 2017

More Information

Terms related to this study

Other Study ID Numbers

  • CALGB-150607
  • U10CA180821 (U.S. NIH Grant/Contract)
  • CDR0000614602 (Registry Identifier: NCI Physician Data Query)
  • NCI-2009-00451 (Registry Identifier: NCI Clinical Trial Reporting Program)

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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