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NCT Number: NCT07498829

Population Based Germline Testing for Early Detection and Prevention of Cancer

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.

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Key information

Age range

18 year and older

Sex eligibility

Female

Study type

Interventional

Phase

Not applicable

Primary location

Wolfson Institute of Population Health, Queen Mary University of London

London, EC1M 6BQ, United Kingdom

Location status: Recruiting

Location contact

Caitlin Fierheller, PhD

CONTACT

[email protected]

+44 8008620236

Ranjit Manchanda, PhD

CONTACT

[email protected]

+44 8008620236

Ranjit Manchanda, PhD

PRINCIPAL_INVESTIGATOR

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Women, trans men, and non-binary people with female reproductive organs
  • ≥18 years at consent

Exclusion criteria

  • 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

Treatment and study plan

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.

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

    Time frame: 1 year after completing recruitment

    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).

Secondary outcomes

  1. Satisfaction and regret (Satisfaction)

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

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

  2. Satisfaction and regret (Regret)

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

    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).

  3. Quality of life using EQ5D- 5L

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

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

  4. Psychosocial wellbeing - Cancer worry

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

    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

  5. Psychosocial wellbeing - Risk perception

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

    Risk perception is measured as the proportion responding as at "high or much higher" chance of cancer to the statement "compared with other people of your age, do you think your chances of getting cancer at some point in your life are…"

  6. Psychosocial wellbeing - Anxiety and depression

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

    Anxiety is measured using the Hospital Anxiety and Depression Scale (HADS) anxiety questionnaire- Anxiety score (7-item questionnaire on a 4-point Likert scale).

    Depression is measured using the HADS depression questionnaire -(7-item questionnaire on a 4-point Likert scale).

    Scores range from 0-21 with higher scores indicating higher levels of anxiety/depression.

  7. Psychosocial wellbeing - Distress

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

    Distress is measured using the Impact of Events (IES) questionnaire (22-item IES questionnaire on a 5-point Likert scale). Mean score IES Intrusive scale (range 0-35) and IES Avoidance scale (range 0-38); where higher scores indicate greater distress.

  8. Psychosocial wellbeing - Impact

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

    Impact is measured using the Multidimensional Impact of Cancer (MICRA) questionnaire. Mean score overall (range 0 -105) with separate scores for distress, positive experiences and uncertainty. MICRA distress scale (range 0-30), MICRA positive experiences scale (range 0-20) and MICRA uncertainty scale (range 0-45); where higher scores indicates higher impact.

  9. Uptake of risk management options

    Time frame: collected annually over 8 years

    Uptake of risk management options (for breast, ovarian, endometrial and bowel cancers) are measured using self-reported, clinical and/or registry data

    • Breast: Proportion of CSG carriers who undergo of self-examination, mammography, MRI, risk reducing mastectomy, medical prevention
    • Ovary: Proportion of CSG carriers who undergo surveillance, or surgical prevention (risk reducing salpingo-oophorectomy or risk reducing early salpingectomy)
    • Endometrial: Proportion of CSG carriers who undergo risk reducing hysterectomy (with bilateral salpingo-oophorectomy in women with Lynch Syndrome); endometrial cancer surveillance
    • Bowel: Proportion of CSG carriers who undergo FIT test, colonoscopy, take aspirin
    • Proportion of CSG carriers who undergo pre-implantation genetic testing in individuals planning a family
  10. Uptake of cascade testing

    Time frame: 2 years post return of last result in those recruited

    Uptake of cascade testing is measured as the total number of people who undergo cascade testing per family in an individual with a PV in a CSG at 2 years after the return of the last test result

  11. VUS carrier frequency

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

    measured as the proportion of VUS carriers in women who have undergone testing at 6 months after return of the last test result

  12. Cost-effectiveness of genetic testing

    Time frame: 12 months after return of last test result - initial analysis

    Is measured by incremental cost-effectiveness ratio (ICER) comparing population testing strategy with a family history based testing strategy. ICER per QALY is compared to the NICE willingness to pay threshold in the UK (£30,000/QALY). Incremental costs, incremental QALYs and number of cancers/deaths prevented will be calculated and one-way and probabilistic sensitivity analysis undertaken.

Other outcomes

  1. To determine the uptake of population-based genetic testing

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

    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.

  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)

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

    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

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

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

    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

  4. Satisfaction and regret with population-based testing Longer term

    Time frame: Years 2, 3 post-test result

    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).

  5. The experience of using and usability of the PROTECT-C app

    Time frame: 6-month post-test result (or decision not to test in decliners)

    9-questions from App Evaluation Questionnaire. Evaluated separately for women who accept and decline genetic testing using. Accept/decline and 6-month post-test questionnaire.

    • Proportion of women who used the app
    • Proportion of women who accessed written infor-mation
    • Proportion of women who accessed each section
    • Proportion of women who "strongly and very strongly agree" with the statement: 1-item usefulness of written information statement ("Looking at this in-formation after receiving my results was helpful") on 5-point Likert scale)
    • Proportion of women who accessed videos
    • Proportion of women who accessed videos, by topic
    • 1-item usefulness of video information statement ("Watching these videos after receiving my results was helpful") on 5-point Likert scale. Proportion of women who "strongly and very strongly agree" with the statement
    • Suggestions for improvement (free text)
    • Unhelpful features of app (y/n and free text)
  6. Use of a helpline in population testing - Proportion

    Time frame: Accept/decline, 21-days and 6-month post-test questionnaire

    Helpline evaluation questionnaire and telephone or booking system record database.

    b. Reasons for helpline use- Proportion of consented women who called by reason c. Mode of helpline use - Proportion of calls by mode of use d. Ease of access - Proportion who found the helpline "very easy or easy" to use in those who used the helpline e. Satisfaction- Proportion who were "very satisfied or satisfied" with the helpline in those who used the helpline

  7. Use of a helpline in population testing - Frequency

    Time frame: Accept/decline, 21-days and 6-month post-test questionnaire

    Helpline evaluation questionnaire and telephone or booking system record database.

    a. Frequency of use of helpline- Total number of calls and proportion of consented women who contacted the helpline f. Frequency of use of booking system- Total number of people who used the online booking system

  8. Impact of genetic testing on health behaviours - Vitamin, alcohol, physical activity

    Time frame: baseline questionnaire and 6-month post-test questionnaire, as well as 1-3 year questionnaire

    specific measures on Lifestyle and Behaviours using a customised questionnaire. Measuring average change in proportions between the baseline questionnaire and 6-month post-test questionnaire, as well as 1-3 year questionnaire in women who consent to genetic testing.

    • Vitamin supplement use (y/n)
    • Alcohol consumption (y/n)
    • Physical activity (y/n)
  9. Impact of genetic testing on health behaviours - Diet

    Time frame: baseline questionnaire and 6-month post-test questionnaire, as well as 1-3 year questionnaire

    specific measures on Lifestyle and Behaviours using a customised questionnaire. Measuring average change in proportions between the baseline questionnaire and 6-month post-test questionnaire, as well as 1-3 year questionnaire in women who consent to genetic testing.

    • Diet: Meat/Vegetable/Fruit consumption measured on a 7-point Likert scale for each
  10. Impact of genetic testing on health behaviours - Smoking

    Time frame: baseline questionnaire and 6-month post-test questionnaire, as well as 1-3 year questionnaire

    specific measures on Lifestyle and Behaviours using a customised questionnaire. Measuring average change in proportions between the baseline questionnaire and 6-month post-test questionnaire, as well as 1-3 year questionnaire in women who consent to genetic testing.

    • Smoking frequency (current/former/never) and quantity
  11. Women's motivations and experiences of panel genetic testing and personalised BC and OC risk estimation for cancer screening and prevention

    Time frame: For decliners - Baseline (post decision) For those with a PV or moderate or high risk result - Baseline (post decision), 9-12 months post decision For VUS: Baseline (post decision), 12-18 months post decision

    Qualitative interview transcripts. Nvivo will be used to identify themes, index, chart, map, synthesize and interpret data, including comparison between relevant groups.

  12. Impact of return of VUS results - Reclassification

    Time frame: End of study (end of year 8)

    VUS reclassification recorded on the study database (updated every 6-months) and returned to participant.

    • VUS reclassification rate: proportion of VUS re-classified in women with at least one VUS and timepoint at which most VUS's get reclassified
  13. Impact of return of VUS results - Quality of life

    Time frame: End of study (end of year 8)

    VUS reclassification recorded on the study database (updated every 6-months) and returned to participant.

    • Quality of life and psychosocial outcomes in individuals with VUS, over time (baseline, 6 months, 1-3 years)
  14. Feasibility of running a study within a trial (SWAT): performance uptake

    Time frame: 6 months post last recruit.

    Performance uptake report. Proportion of individuals who registered on the website and indicated they received a letter, who could be linked to which type (one of two) of letter. To be reported at 6 months.

  15. Effectiveness of different letters on registration interest in the trial

    Time frame: Reported at 6 months after recruitment completed.

    Self-reported letter type within the registration questionnaire. Difference in proportions of those who received each letter and registered from those invited, by letter type. To be reported at 6 months

  16. Evaluate association of sociodemographic factors

    Time frame: 6 months post last test result.

    Measures on the first questionnaire including:

    • Marital status (5 categories)
    • Education status (9 categories)
    • Income (6 categories)
    • Race/ethnicity (5 broad categories)
    • Religion (8 categories) Differences in sociodemographic factors between accepters and decliners to be evaluated at 6 months
  17. Quality of life EQ5D-5L longer term - EQ5D score

    Time frame: baseline, 6 months, 1 year, 2 year, 3 years

    Quality of life measured using EORTC EQ5D-5L score (5 domains each with 5 levels). Mean EQ5D score (range 0-1) with higher score indicating higher quality of life.

    Evaluation of change in proportions/average scores between pre-genetic testing questionnaires, 6-months and 1-3 years post-test questionnaires in women who consent to genetic testing

  18. Quality of life EQ5D-5L longer term - Visual Analogue Scale

    Time frame: baseline, 6 months, 1 year, 2 year, 3 years

    Quality of life measured using self-reported Visual Analogue Scale (VAS) score (range 0-100) with higher score indicating higher quality of life.

    Evaluation of change in proportions/average scores between pre-genetic testing questionnaires, 6-months and 1-3 years post-test questionnaires in women who consent to genetic testing

  19. Psychosocial wellbeing longer term - Cancer worry

    Time frame: Pre-genetic testing, 6months, 1 year, 2 years, 3 years

    Evaluation of change in proportions/average scores between pre-genetic testing questionnaires, 6-months and 1-3 years post-test questionnaires in women who consent to genetic testing.

    Mean cancer Worry Scale score (4-item Cancer Worry Scale questionnaire on a 4-point Likert scale) (range 4-16) with higher score indicates greater concern.

  20. Psychosocial wellbeing longer term - Risk pereception

    Time frame: Pre-genetic testing, 6months, 1 year, 2 years, 3 years

    Evaluation of change in proportions/average scores between pre-genetic testing questionnaires, 6-months and 1-3 years post-test questionnaires in women who consent to genetic testing.

    Risk perception is measured as the proportion responding as at "high or much higher" chance of cancer to the statement "compared with other people of your age, do you think your chances of getting cancer at some point in your life are…"

  21. Psychosocial wellbeing longer term - Anxiety and Depression

    Time frame: Pre-genetic testing, 6months, 1 year, 2 years, 3 years

    Evaluation of change in proportions/average scores between pre-genetic testing questionnaires, 6-months and 1-3 years post-test questionnaires in women who consent to genetic testing.

    Anxiety is measured using the Hospital Anxiety and Depression Scale (HADS) anxiety questionnaire- Anxiety score (7-item questionnaire on a 4-point Likert scale). Depression is measured using the HADS depression questionnaire -(7-item questionnaire on a 4-point Likert scale). Scores range from 0-21 with higher scores indicating higher levels of anxiety/depression.

  22. Psychosocial wellbeing longer term - Distress

    Time frame: Pre-genetic testing, 6months, 1 year, 2 years, 3 years

    Evaluation of change in proportions/average scores between pre-genetic testing questionnaires, 6-months and 1-3 years post-test questionnaires in women who consent to genetic testing.

    Distress is measured using the Impact of Events (IES) questionnaire (22-item IES questionnaire on a 5-point Likert scale). Mean score IES Intrusive scale (range 0-35) and IES Avoidance scale (range 0-38); where higher scores indicate greater distress.

  23. Psychosocial wellbeing longer term - Impact

    Time frame: Pre-genetic testing, 6months, 1 year, 2 years, 3 years

    Evaluation of change in proportions/average scores between pre-genetic testing questionnaires, 6-months and 1-3 years post-test questionnaires in women who consent to genetic testing.

    Impact is measured using the Multidimensional Impact of Cancer (MICRA) questionnaire. Mean score overall (range 0 -105) with separate scores for distress, positive experiences and uncertainty. MICRA distress scale (range 0-30), MICRA positive experiences scale (range 0-20) and MICRA uncertainty scale (range 0-45); where higher scores indicates higher impact.

Study contacts

Contact information is provided by the study sponsor or research team.

Caitlin Fierheller, PhD

CONTACT

[email protected]

+44 8008620236

Ranjit Manchanda, PhD

CONTACT

[email protected]

+44 8008620236

Sponsors and collaborators

Lead sponsor

Queen Mary University of London

Other

Collaborators

  • Imperial College London
  • Institute of Cancer Research, United Kingdom
  • London School of Hygiene and Tropical Medicine
  • St George's, University of London
  • University College, London
  • University of Cambridge
  • University of Leeds
  • University of Manchester
  • VU University Medical Center (VUmc)

Registry information

Acronym: PROTECT-C

Important dates

Study start
2025
Primary completion
2029
Study completion
2040
First posted
Mar 27, 2026
Registry last updated
Mar 27, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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