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Prolaris Enhanced Risk Stratification - an ecONomic and clinicAL Evaluation

Prolaris Enhanced Risk Stratification - an ecONomic and clinicAL Evaluation

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03851211
Acronym
PERSONAL
Enrollment
100
Registered
2019-02-22
Start date
2019-02-21
Completion date
2020-10-30
Last updated
2019-02-28

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Prostate Cancer

Brief summary

One in 8 men will be diagnosed with prostate cancer during their lifetime. The majority of men diagnosed with prostate cancer have early stage disease, which can be managed in a variety of ways, ranging from monitoring to international treatment. However is it not always clear which treatment option is best. All men with newly diagnosed localised prostate cancer are assigned a disease risk category (low/intermediate/high risk). This is based on clinical findings and prostate biopsy results, but these factors are limited in their ability to distinguish between aggressive and indolent prostate cancers. The current risk grouping can make it difficult to plan appropriate treatment tailored and personalised to the individual patient. There is evidence reporting overtreatment of localised prostate cancer in the UK. However, many patients with aggressive disease are wrongly assigned a low risk categorisation and are recommended surveillance when better suited to more interventional treatment. Myriad Genetics have developed a test, called Prolaris which measures how fast cells in a prostate cancer are dividing to assess its aggressiveness. The Prolaris test is performed on routine prostate biopsy tissue, so patients are not subjected to any additional invasive investigations. In this study, led by Leeds Teaching Hospitals NHS Trust, the aim is find out if the Prolaris® test score helps patients with newly diagnosed prostate cancer and their clinical team make better informed treatment choices that are tailored to the individual patient. The aim to achieve a Prolaris risk score for 100 patients and determine the impact it has on treatment decision making. The research team will look at how the test fits into routine clinical practice, investigate the clinician and patient views and understanding on the test report and assess the quality of life of patients in the different risk and treatment groups.

Interventions

None listed

Sponsors

The Leeds Teaching Hospitals NHS Trust
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
MALE
Age
18 Years to 100 Years

Inclusion criteria

* Clinical suspicion of prostate cancer * Able to provide informed written consent * No contraindication to prostate biopsy * Newly diagnosed treatment-naive patient with histologically proven localised adenocarcinoma of the prostate * Low or intermediate D'Amico risk prostate cancer * Sufficient quantity and quality of tissue remains from biopsy to perform genomic testing * No contraindication to radical treatment if diagnosed with localised prostate cancer * Estimated life expectancy \>10 years

Exclusion criteria

* Men with locally advanced, clinical node positive or metastatic disease * Patients who lack capacity to consent to study participation * Non-adenocarcinoma prostate cancer histology

Design outcomes

Primary

MeasureTime frameDescription
Prolaris test outcome received via report.30-60minsResults of the test received.
Treatment counselling30-60minsFeedback of the results of the prolaris test. Consultant Urologist will see each participant in clinic after receipt of the Prolaris test report. They will explain the results to the patient and the patient will have the opportunity to ask any questions that they may have. The patient will then be able to decide on their treatment option.

Countries

United Kingdom

Contacts

Primary ContactWilliam Cross, MRCS
williamcross@nhs.net0113 243 3144

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026