Transcriptional Responses as an Indicator of Individualised Responses to Radiation Effects (RTGene 2)

Multi-panel Coding and Non-coding Transcriptional Responses as an Indicator of Individualised Responses to Radiation Effects in Radiation Therapy Patients

Peripheral blood samples will be taken with informed consent from radiotherapy patients before and during treatment fractions for sarcoma, breast, lung, gut, genitourinary and head & neck tumours at The Royal Marsden. Candidate genes identified by PHE, Columbia and/or in the literature as being specific to radiation responses will be assessed, together with genes relevant to systemic inflammatory and immune responses, to identify transcriptional responses for a range of doses and exposures on an inter-individual basis. Data will be analysed using existing and new statistical tools focused on count data modelling. The intended outcome is identification of a radiation specific panel of genes to inform individual radiation responses and if the results are favourable, a large scale follow up to this project is expected.

Study Overview

Status

Active, not recruiting

Conditions

Detailed Description

Biomarkers of radiation exposure are recognised to form an important component of the 'toolkit' for initial triage assessment of potentially exposed individuals in a mass casualty radiation accident or incident. Furthermore, radiation is an important medical tool and biomarkers can contribute to longer term assessment of radiation effects and public health risks. The gene expression assay has been gaining popularity as a sensitive biological marker of radiation exposure with the potential to be used for truly individualised dosimetry. The possibility for this assay to be used for a large scale mass-casualty scenario has been proposed and tested in a recent inter-comparison exercise. However, a fuller understanding of genetic factors that contribute to individual radiation risks is needed to inform tailored screening approaches - i.e. to identify a truly radiation specific panel of genetics responses for use as a transcriptional biomarker.

At Columbia University, research has shown that transcriptional effects have the potential to be used as individualised predictors of radiosensitivity to early and late effects. At Public Health England (PHE), recently established molecular counting nCounter technology allows direct counting of nucleic acid molecules (DNA, mRNA, miRNA and lncRNA) without the need for enzymatic reaction or amplification steps hence reducing time for data collection. This new gene expression analysis technique has been assessed for radiation biodosimetry applications with promising results. Furthermore, gene expression has shown a high degree of promise as a marker for late effects of radiation, for instance normal tissue reactions following curative radiotherapy for breast cancer.

In the earlier pilot RTGene study the investigators found genes that are consistently down-regulated and up-regulated towards the end of the radiotherapy treatment. The next stage of this work (RTGene 2) will be to validate the nCounter data for a small number of new genes consistently found in the top 6 of differentially expressed. Importantly, in an attempt to identify genes which are promising biomarkers of susceptibility to radiation-induced toxicity, expression levels will need to be compared with normal tissue reaction to IR, and combined with longer term radiation toxicity data to identify genes with the most pronounced expression level fluctuations during and after radiotherapy.

Peripheral blood samples will be taken with informed consent from radiotherapy patients before and during treatment fractions for sarcoma, breast, lung, gut, genitourinary and head & neck tumours at The Royal Marsden. Candidate genes identified by PHE, Columbia and/or in the literature as being specific to radiation responses will be assessed, together with genes relevant to systemic inflammatory and immune responses, to identify transcriptional responses for a range of doses and exposures on an inter-individual basis. Data will be analysed using existing and new statistical tools focused on count data modelling. The intended outcome is identification of a radiation specific panel of genes to inform individual radiation responses and if the results are favourable, a large scale follow up to this project is expected.

Study Type

Observational

Enrollment (Actual)

25

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

    • Surrey
      • Sutton, Surrey, United Kingdom, SM2 5PT
        • The Royal Marsden NHS Foundation Trust

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

Sampling Method

Probability Sample

Study Population

Patients undergoing radiotherapy for cancer

Description

Inclusion Criteria:

  • Age ≥18 years
  • Requirement for external beam radiotherapy (large-field RT, over at least 2 weeks) for sarcoma, breast, lung, gastrointestinal, head & neck or genitourinary tumours
  • Written informed consent

Exclusion Criteria:

  • Previous radiotherapy
  • Concurrent chemotherapy/biological therapy or chemotherapy/biological therapy preceding radiotherapy by less than 4 weeks
  • Concurrent hormone therapy or hormone therapy preceding radiotherapy by less than 4 weeks

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
Blood donation during radiotherapy
Participants will be asked to donate a blood sample at 5 time points during and after radiotherapy
Participants will be asked to donate a blood sample at 5 time points during and after radiotherapy

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Validation of new transcriptional techniques
Time Frame: 24 months after all participants have finished radiotherapy and donated blood samples
Using nCounter platform to validate biomarkers of individual radiation exposure, in vivo
24 months after all participants have finished radiotherapy and donated blood samples

Collaborators and Investigators

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

Collaborators

Investigators

  • Principal Investigator: Navita Somaiah, The Institute of Cancer Research, London, UK

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)

May 9, 2019

Primary Completion (Estimated)

June 1, 2024

Study Completion (Estimated)

June 1, 2024

Study Registration Dates

First Submitted

January 14, 2019

First Submitted That Met QC Criteria

January 17, 2019

First Posted (Actual)

January 18, 2019

Study Record Updates

Last Update Posted (Actual)

August 16, 2023

Last Update Submitted That Met QC Criteria

August 15, 2023

Last Verified

August 1, 2023

More Information

Terms related to this study

Other Study ID Numbers

  • IRAS258792

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.

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