Protein and RNA Expression Patterns in Predicting Response to Treatment in Patients With Lung Cancer

July 18, 2017 updated by: Christine Lovly, MD, PhD, Vanderbilt-Ingram Cancer Center

Molecular Fingerprints in Lung Cancer: Predicting Tumor Response to Therapy

RATIONALE: Studying samples of tumor tissue and blood in the laboratory from patients with cancer may help doctors learn more about changes that occur in genetic material (DNA and RNA) and may also identify protein expression patterns related to cancer. It may also help doctors predict how patients will respond to treatment.

PURPOSE: This research study evaluates changes in DNA, RNA, and proteins with the goal of predicting response to treatment in patients with lung cancer.

Study Overview

Detailed Description

OBJECTIVES:

  • To determine protein and/or RNA expression patterns capable of predicting tumor response to therapy in tumor tissue samples from patients with lung cancer or suspected of having lung cancer.
  • To characterize the genes and proteins found to be predictive of response in order to help elucidate the molecular biology underlying cancer chemosensitivity.
  • To evaluate DNA mutations found within the lung cancer sample which may be predictive of response or resistance to certain therapeutic agents.

OUTLINE: Patients undergo collection of tumor tissue by percutaneous fine needle aspiration, core biopsy, thoracentesis, or during any medically indicated procedure involving removal of lung cancer tissue. Tissue samples are analyzed by a variety of techniques, including DNA sequencing, RNA sequencing and expression levels, protein assessment [by immunohistochemistry, western blot, Matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-MS]). The goal of these studies is to identify of gene mutations, gene expression levels, and proteins predictive of treatment response. Blood samples are also collected to obtain normal DNA for analysis.

After completion of study, patients will be followed until their death.

Study Type

Observational

Enrollment (Actual)

204

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

    • Tennessee
      • Nashville, Tennessee, United States, 37232-6838
        • Vanderbilt-Ingram Cancer Center

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

No older than 120 years (Child, Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

People who have or may have lung cancer.

Description

Inclusion criteria

  • Diagnosis of suspected lung cancer or lung cancer

Exclusion criteria

  • Inability to undergo therapy

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
Lung cancer
Patients with a diagnosis of invasive lung cancer.
Lung tumor tissue will be collected.
Lung tumor tissue will be collected.
Other Names:
  • Immunohistochemistry
  • Western blot
  • Matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI)
  • RPPA
Tissue will be collected by percutaneous fine needle aspiration, a percutaneous core biopsy, or during a medically indicated procedure during which lung tumor tissue will be removed
Patients will be asked for a venous blood sample

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
DNA, RNA, and Protein expression patterns and mutational analysis
Time Frame: After lung tumor tissue and blood collection.
DNA, RNA, and Protein expression patterns and mutation status in lung tumor tissue that are capable of predicting tumor response to therapy
After lung tumor tissue and blood collection.

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Characterization of genes and proteins predictive of response to therapy
Time Frame: After lung tumor tissue and blood collection
Identify genes and proteins predictive of response to therapy and that can be used to identify novel mechanisms underlying lung cancer behavior
After lung tumor tissue and blood collection

Collaborators and Investigators

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

Investigators

  • Study Chair: Christine Lovly, MD, PhD, Vanderbilt-Ingram Cancer Center

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

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

December 1, 2005

Primary Completion (Actual)

July 1, 2016

Study Completion (Actual)

July 1, 2017

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)

July 19, 2017

Last Update Submitted That Met QC Criteria

July 18, 2017

Last Verified

July 1, 2017

More Information

Terms related to this study

Keywords

Other Study ID Numbers

  • VICC THO 0547
  • P30CA068485 (U.S. NIH Grant/Contract)
  • P50CA090949 (U.S. NIH Grant/Contract)
  • VU-VICC-THO-0547 (Other Identifier: VICC)

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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