Prediction Model of Response for CCRT in Esophageal Cancer

October 3, 2023 updated by: Su Youn Nam, Kyungpook National University Hospital

Prediction Model of Response for Combined Chemo-Radio-therapy Based on Clinical and Molecular Biology

  1. Retrospective review of old patients

    • Analysis of prediction factors for concomitant chemo-radiotherapy in locally advanced and advanced esophageal cancer from 2005 to 2015
  2. Prospective case-control study: RNA sequencing & miRNA microarray

    • naive esophageal cancer patients who have a plan to receive concomitant chemo-radiotherapy

      • acquirement of tissue, blood, clinical information
      • isolation of RNA, DNA, serum database of clinical & demographic information

    ***Analysis of mRNA sequencing / miRNA sequencing**** first analysis of RNA sequencing: bioinformatician second analysis of RNA sequencing: principle investigator

  3. Experimental set for qPCR (esophageal tissue) study group
  4. TMA for screened exon gene
  5. validation set for qPCR (esophageal tissue)
  6. follow-up of circulating miRNA in blood (baseline blood & post-CCRT blood 3M, 6M, 12M)
  7. Prediction model for CCRT response in esophageal Cancer based on clinical and molecular factors
  8. Validate the prediction model.

Study Overview

Status

Recruiting

Conditions

Intervention / Treatment

Detailed Description

  1. Retrospective review of old patients

    • Analysis of prediction factors for concomitant chemo-radiotherapy in locally advanced and advanced esophageal cancer from 2005 to 2015

    Study Group

    1. non responder
    2. CR but recurrence
    3. CR and survival loner than 2 years
  2. Prospective case-control study: RNA sequencing & miRNA microarray

    • naive esophageal cancer patients who have a plan to receive concomitant chemo-radiotherapy --> acquirement of tissue, blood, clinical information --> isolation of RNA, DNA, serum database of clinical & demographic information

study group

  1. non-responder (N=14)
  2. Complete Remission (N=14)

    For considering the drop rate, 2-fold screening

    ***Analysis of mRNA sequencing / miRNA sequencing**** first analysis of RNA sequencing: bioinformatician second analysis of RNA sequencing: principle investigator

    3) Experimental set for qPCR (esophageal tissue) study group

    1. non-responder (N=40)
    2. complete remission (N=40)

    4) TMA for screened exon gene

    5) validation set for qPCR (esophageal tissue) new esophageal cancer set

    1. non-responder (N=30)
    2. complete remission (N=30)

    6) follow-up of circulating miRNA in blood (baseline blood & post-CCRT blood 3M, 6M, 12M)

    7) Prediction model for CCRT response in esophageal Cancer based on clinical and molecular factors

    Test several combination models

    1. gene + gene combination,
    2. gene + clinical information combination,
    3. gene + gene + clinical information combination

    8) Validate the prediction model.

    9) primary organoid culture and prediction of chemoradiotherapy response

Study Type

Observational

Enrollment (Estimated)

140

Contacts and Locations

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

Study Contact

Study Locations

      • Daegu, Korea, Republic of, 41404
        • Recruiting
        • Kyungpook National University Medical Canter
        • Contact:

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

40 years to 80 years (Adult, Older Adult)

Accepts Healthy Volunteers

N/A

Sampling Method

Non-Probability Sample

Study Population

locally advanced or advanced esophageal cancer who want concomitant chemoradiotherapy

Description

Inclusion Criteria:

  1. locally advanced or advanced esophageal cancer who want concomitant chemoradiotherapy
  2. persons who assigned the written informed consents.

Exclusion Criteria:

  1. persons who did't assign the informed consents
  2. other organ cancer
  3. heavy alcoholics

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
Responder

Complete Remission after chemoradiotherapy in locally advanced or advanced esophageal cancer

evaluation of disease status: endoscopy, CT, and/or PET-CT

concomitant chemoradiotherpay is routine treatment in locally advanced and advanced esophageal cancer and it is not for research.
non-responder

Progressive disease or stationary state after chemoradiotherapy in locally advanced or advanced esophageal cancer

evaluation of disease status: endoscopy, CT, and/or PET-CT

concomitant chemoradiotherpay is routine treatment in locally advanced and advanced esophageal cancer and it is not for research.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Prediction model for CCRT response based on clinical and genetic molecular factors
Time Frame: up to 36 months
prediction model for CCRT response based on clinical and genetic molecular factors in esophageal cancer
up to 36 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
banking of remained human material for post genetic & molecular study
Time Frame: up to 10 years
banking of remained human material for post genetic & molecular study
up to 10 years
circulating preditction marker for CCRT response and prognosis
Time Frame: up to 5 years
circulating miRNA sequencing
up to 5 years
tissue prediction marker for CCRT response and prognosis
Time Frame: up to 5 years
tissue RNA sequencing / tissue microarray
up to 5 years
in-vitro prediction of CCRT using primary esophageal cancer organoid
Time Frame: up to 6 month
  1. Esophageal cancer derived primary organoid culture
  2. treat RT and 5-FU to esophageal cancer organoid
  3. measure the response of CCRT (live cell/dead cell)

    • This process is in-vitro process, not in-vivo experiment.
up to 6 month

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Clinical prediction factors for CCRT response (retrospective study)
Time Frame: up to 5 years
Evaluation of clinical prediction factors for CCRT response in esophageal cancer from 2005-2015 (retrospective study)
up to 5 years

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Su Youn Nam, MD, PhD, Kyungpook National University Medical 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)

October 19, 2015

Primary Completion (Estimated)

December 31, 2024

Study Completion (Estimated)

December 31, 2024

Study Registration Dates

First Submitted

February 18, 2017

First Submitted That Met QC Criteria

March 11, 2017

First Posted (Actual)

March 17, 2017

Study Record Updates

Last Update Posted (Actual)

October 4, 2023

Last Update Submitted That Met QC Criteria

October 3, 2023

Last Verified

October 1, 2023

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

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.

Subscribe