Next Generation Sequencing in Intrahepatic Cholangiocarcinoma (EtherBil)

July 8, 2014 updated by: Giovanni Brandi, University of Bologna

Next Generation Sequencing in Intrahepatic Cholangiocarcinoma (ICC) According to the Stratification of the Risk Factors

The aim of the present study is to perform a comprehensive molecular characterization of intrahepatic cholangiocarcinoma (ICC) in patients exposed to well-known or putative risk factors (such as asbestos) for this malignancy, in order to identify possible "molecular signatures" associated to such different risk factors.

Study Overview

Detailed Description

Exposure to distinct risk factors of the enrolled ICC patients will be assessed by modified ReNaM questionnaire. Molecular characterization of ICC tissue samples will be carried out by RNAseq. Briefly, after surgical resection tissue samples will be immediately suspended in RNAlater. RNAseq analysis will be performed on the Illumina HiScanSQ platform. Any possible mutations identified by RNAseq will be validated by Sanger sequencing. Putative identified fusion transcripts will be confirmed by RT-PCR, using specific primers pairs located on the sequences from the exons of the two putative fusion genes. Variations in gene expression will be validated by the real-time PCR. The bioinformatic analysis will be made by using CentOS5 Server. For evaluation of asbestos fibers in tumor tissues, samples embedded in paraffin will be incinerated and then analyzed in a scanning electron microscope and by EDS spectroscopy.

Study Type

Observational

Enrollment (Anticipated)

45

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

    • BO
      • Bologna, BO, Italy, 40138
        • Recruiting
        • Policlinico S.Orsola- Malpighi, S.S.D. Oncologia Medica- Biasco
        • Contact:
        • Contact:
        • Principal Investigator:
          • Giovanni Brandi
        • Sub-Investigator:
          • Simona Tavolari
        • Sub-Investigator:
          • Maria Aurelia Barbera
        • Sub-Investigator:
          • Jody Corbelli

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

ICC patients candidate for curative-intent surgery, for a total of 45 subjects. For each patient enrolled, histological examination of tumor tissue specimen will be performed in order to confirm ICC diagnosis.

Description

Inclusion Criteria:

  • patients having a confirmed diagnosis of ICC resected;
  • patients who have signed the informed consent;
  • patients (males or females) who are at least 18 years old.

Exclusion Criteria:

  • patients who have been treated with any medical treatment (chemotherapy or experimental standard) or with radiotherapy during the last 5 years.

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

  • Observational Models: Cohort
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
intrahepatic cholangiocarcinoma
Patients committed to surgery and stratified according to exposure to different risk factors for ICC, basing on modified ReNaM questionnaire.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Identification of molecular biomarkers in ICC patients exposed to different risk factors.
Time Frame: 3 years
For each patient enrolled, molecular profile of ICC tissue samples will be correlated to the anamnestic data collected by modified ReNaM questionnaire. For bio-informatic analysis, the collected data will be analyzed in order to identify signals that significantly deviate from the expected SNVs distribution in the general population, then analyzing the presence of clustering for the selected genes group. A two-way unsupervised hierarchical clustering analysis will be run to assess gene expression in the study groups (exposed / unexposed to the different risk factors). Random permutation test will be also conducted to assess the presence of genes whose expression is different in the study groups. Statistical analyses will be conducted using the R software (R Foundation and for Statistical Computing).
3 years

Collaborators and Investigators

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

Investigators

  • Principal Investigator: Giovanni Brandi, University of Bologna

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

May 1, 2014

Primary Completion (Anticipated)

May 1, 2016

Study Completion (Anticipated)

May 1, 2017

Study Registration Dates

First Submitted

July 3, 2014

First Submitted That Met QC Criteria

July 8, 2014

First Posted (Estimate)

July 9, 2014

Study Record Updates

Last Update Posted (Estimate)

July 9, 2014

Last Update Submitted That Met QC Criteria

July 8, 2014

Last Verified

July 1, 2014

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

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.

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