Population Based Germline Testing for Early Detection and Prevention of Cancer

Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexFemale
Age18+
SponsorQueen Mary University of London

About this trial

PROTECT-C is a research study offering genetic testing to people to see whether they have a genetic change that increases their risk of breast, ovary, bowel, and/or womb cancer. This is regardless of whether they or their families have had cancer.

Breast, ovary, bowel, and womb cancers make up half of all cancers in women. Around 15-20% (15 to 20 in 100 cases) of ovary and 3-4% (3 to 4 in 100 cases) of breast, womb, and bowel cancers are linked to cancer genes and may be prevented. People with a genetic change that puts them at increased risk of any of these cancers have ways to help them manage their risk through the NHS. This may include screening to find cancers earlier when they are easier to treat, and surgery or medication to prevent cancers from developing. This can save lives.

Currently, genetic testing is only available on the NHS to people who meet certain criteria. For example, those who have had certain cancers, have a strong family history of cancer, or those with Jewish ancestry. But many people may not have a strong family history or meet NHS testing criteria. This means that this system of testing misses 50% to 80% of people (50 to 80 in 100 people) who have a genetic change. It is thought that only around 3 in 100 people overall who have a genetic change that increases their risk of cancer know about it. Given the effective screening and preventive options that are available, this represents a huge, missed opportunity to prevent cancers or find them earlier.

The PROTECT-C study aims to evaluate the option of offering genetic testing to everyone who may want it. This is regardless of whether they or their families have had cancer. We will offer genetic testing to 5000 people. People may take part if they:

* Are over the age of 18 years and * Are a woman, trans man, or non-binary person with female reproductive organs (ovaries, fallopian tubes, and/or a uterus) and * Have never had genetic testing for the cancer genes tested for in the study and * Do not have first-degree family members (e.g.: parent, sibling, child) or second-degree family members (e.g.: aunt, uncle, niece, nephew, grandchild, grandparent, half-sibling) with genetic changes in the cancer genes tested for in the study

PROTECT-C is a completely digital study. The study team will give participants access to an app developed specifically for this study. They can download this app using a smartphone or tablet or access it on any internet browser using a computer or laptop. Before they can access the app, participants will need to complete a consent form. They will also be asked to fill in a short questionnaire about themselves and their health. The PROTECT-C app contains information to help participants decide if they would like to have genetic testing. If they decide to have genetic testing, they will complete a consent form for genetic testing on the app. The study team will send them a saliva based test kit in the post.

The study will look at how many people decide to have genetic testing and how many of them are found to have a genetic change. It will evaluate their experience with using the app and how this approach to genetic testing affects their quality-of-life, satisfaction, and mental well-being. This will give us a better understanding of how well the app works as a way of offering genetic testing to people. The study is interested to see how people found to be at increased risk decide to manage their risk. We will assess the uptake of screening and prevention options. Few participants will be invited to have 1:1 interviews by the study team. This will evaluate their experience of making a decision about genetic testing and taking part in the study. Taking part in these interviews is optional. The study will also assess if this way of offering genetic testing to people is affordable for the NHS.

Eligibility criteria

This trial accepts healthy volunteers

Qualifiers

Women, trans men, and non-binary people with female reproductive organs

≥18 years at consent

Disqualifiers

Individuals who have previously undergone genetic testing for one or more of the following CSGs: BRCA1, BRCA2, PALB2, RAD51C, RAD51D, BRIP1, MLH1, MSH2, MSH6

One or more first- or second-degree relative with a PV in any of above CSGs

Inability to provide informed consent

Trial design

Design model

Single group

Treatments tested in this trial

  • Genetic testing for Cancer Susceptibility Genes (CSGs) (BRCA1, BRCA2, RAD51C, RAD51D, BRIP1, PALB2, MLH1, MSH2, MSH6) and personalised breast and ovarian cancer risk

    Genetic

    Genetic testing for Cancer Susceptibility Genes (CSGs) (BRCA1, BRCA2, RAD51C, RAD51D, BRIP1, PALB2, MLH1, MSH2, MSH6) and personalised breast and ovarian cancer risk for all women (including trans-men, and non-binary individuals with female reproductive organs) over the age of 18 years independent of any family or personal history of cancer.

Treatment groups

6,000 Participants
are divided into 1 treatment group
Group A: Genetic testingExperimental treatment 1 intervention

Trial outcomes

Primary outcomes

1

Pathogenic variant (PV) prevalence for multiple moderate to high penetrance CSGs (BRCA1, BRCA2, RAD51C, RAD51D, BRIP1, PALB2, MLH1, MSH2, MSH6) in women from unselected population-based genetic testing compared with FH-based genetic testing

The primary outcome measure is the proportion of women with one or more CSGs who have undergone genetic testing and received a valid result. PV prevalence will be estimated by the number of observed PVs divided by the total number of individuals tested. An overall rate and CSG specific rates will be calculated. Standard NHS criteria at time of the study (i.e. Amsterdam-2 Criteria for Lynch Syndrome and 10% BRCA probability threshold for HBOC) will be used to evaluate family history criteria for genetic testing. The proportion of PVs fulfilling NHS testing criteria (FH positive) will be estimated. 95% Confidence Intervals for these outcomes will be calculated as per methods specified in the SAP (statistical analysis plan).

Time frame
1 year after completing recruitment

Secondary outcomes

1

Satisfaction and regret (Satisfaction)

Satisfaction is measured as the proportion of positive responses to the statement "I am satisfied with the decision I have made"

Time frame
measured at acceptance, 21 days, 6 months and 12 months
2

Satisfaction and regret (Regret)

Regret is measured as the proportion who score 10 or less using the Decision Regret Scale questionnaire (scale 5-25 where 5 indicates completely dissatisfied and 25 indicates completely satisfied).

Time frame
measured at acceptance, 21 days, 6 months and 12 months
3

Quality of life using EQ5D- 5L

Quality of Life is measured using the EORTC Questionnaire EQ5D- 5L. Mean score (range 0-1) with higher scores indicating higher quality of life.

Time frame
Pre-genetic testing and at 21 days, 6 months and 12 months
4

Psychosocial wellbeing - Cancer worry

a. Cancer worry score is measured using the Cancer Worry Scale questionnaire (4-item Cancer Worry Scale questionnaire on a 4-point Likert scale). Mean Cancer Worry Scale score (range 4-16) and self-reported VAS score (range 0-100); with higher score indicates greater concern

Time frame
Pre-genetic testing and at 21 days, 6 months and 12 months

Other outcomes

1

To determine the uptake of population-based genetic testing

Proportion of women with who consent to undergo genetic testing (amongst those consenting to the study) 6 months after return of the last test result.

Time frame
6 months after return of the last test result
2

Proportion of women categorised as moderate and high risk of breast cancer (BC) and moderate and moderate and high risk of ovarian cancer (OC)

Number of women categorised as moderate or high risk for BC or moderate or high risk for OC using the CAN-RISK model Number of women categorised as moderate or high risk for BC using the Tyrer-Cuzick model Number of women categorised as moderate or high risk of BC using the Tyrer-Cuzick model, and difference compared with use of the CAN-RISK model

Time frame
6 months after return of the last test resut.
3

PV prevalence for individual CSG : BRCA1, BRCA2, RAD51C, RAD51D, BRIP1, PALB2, MLH1, MSH2, MSH6

PV prevalence for "individual" CSG : BRCA1, BRCA2, RAD51C, RAD51D, BRIP1, PALB2, MLH1, MSH2, MSH6 calculated by Proportion of women who have undergone genetic testing and found to have a "specific" CSG Proportion of women identified as FH positive in women who test positive with PVs in "individual" CSGs

Time frame
6 months after return of the last test result.
4

Satisfaction and regret with population-based testing Longer term

Satisfaction: 1-item ("I am satisfied with the decision I have made") on a 5-point Likert scale Regret: Score as calculated from the 5-item Decision Regret Scale on a 5-point Likert scale. Measured as the proportion who score 10 or less using the Decision Regret Scale questionnaire (scale 5-25 where 5 indicates completely dissatisfied and 25 indicates completely satisfied).

Time frame
Years 2, 3 post-test result

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

Queen Mary University of London

Lead sponsor

University of Cambridge

Collaborator

University of Manchester

Collaborator

London School of Hygiene and Tropical Medicine

Collaborator

Institute of Cancer Research, United Kingdom

Collaborator

University of Leeds

Collaborator

Imperial College London

Collaborator

University College, London

Collaborator

VU University Medical Center (VUmc)

Collaborator

St George's, University of London

Collaborator