Blood Sample Analysis in Predicting Overall Survival in Patients With Recurrent or Metastatic Head and Neck Cancer

May 16, 2017 updated by: ECOG-ACRIN Cancer Research Group

Prediction of Overall Survival Using Mass Spectrometry Profiling in Head and Neck Cancer Patients Treated With Epidermal Growth Factor Receptor Inhibitors

RATIONALE: Studying samples of blood in the laboratory from patients with cancer 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 will respond to treatment.

PURPOSE: This research study is looking at blood sample analysis in predicting overall survival in patients with recurrent or metastatic head and neck cancer.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Detailed Description

OBJECTIVES:

  • To validate the mass spectrometry profile that is predictive of survival benefit in patients with recurrent or metastatic head and neck squamous cell carcinoma treated with EGFR inhibitors.

OUTLINE: Plasma and serum samples are analyzed by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and classified according to prognosis ("good" vs "poor") using a previously developed predictive algorithm.

Study Type

Observational

Enrollment (Actual)

30

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 to 120 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Samples submitted for research from patients enrolled on E3301

Description

DISEASE CHARACTERISTICS:

  • Diagnosis of recurrent or metastatic head and neck squamous cell carcinoma

  • Meets 1 of the following criteria:

    • Enrolled on clinical trial ECOG-E3301 and previously treated with irinotecan hydrochloride and docetaxel
    • Enrolled on clinical trial VU-VICC-HN-0501 and previously treated with docetaxel and bortezomib
  • Plasma and serum samples available for analysis

PATIENT CHARACTERISTICS:

  • Not specified

PRIOR CONCURRENT THERAPY:

  • See Disease Characteristics

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

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Overall survival measured in weeks
Time Frame: 1 month
1 month

Collaborators and Investigators

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

Sponsor

ECOG-ACRIN Cancer Research Group

Collaborators

National Cancer Institute (NCI)

Investigators

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

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 (Actual)

July 8, 2008

Primary Completion (Actual)

April 8, 2012

Study Completion (Actual)

April 8, 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)

May 17, 2017

Last Update Submitted That Met QC Criteria

May 16, 2017

Last Verified

May 1, 2017

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • CDR0000600560
  • ECOG-E3301T1

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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