Genetic Studies of Prostate Cancer Aggressiveness and Prognosis
NCT ID: NCT06773858
Last Updated: 2025-01-16
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
2291 participants
OBSERVATIONAL
2024-01-01
2024-12-31
Brief Summary
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The investigators plan to conduct large-scale genetic studies using blood samples from men with prostate cancer. Specifically, the investigators will search for genetic markers associated with the development of more aggressive prostate cancer forms and markers for clinical progression. The clinical relevance of the identified genetic markers will be tested in a large population-based clinical prostate cancer study (the Stockholm-3 study).
The overall goal of this research is to discover new genetic markers for prostate cancer that may lead to more personalized and precise prostate cancer diagnostics.
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Detailed Description
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Aim 1. To perform GWAS and create GRS for aggressive PCa A GWAS for aggressive PCa will be performed in international cohorts comprising 29,896 PCa patients (19,185 with non-aggressive disease and 10,711 with aggressive disease). Using summary statistics from this GWAS in a supervised machine learning framework, The investigators aim to create a GRS predictive of aggressive PCa.
Aim 2. To perform GWAS and create GRS for biochemical recurrence A GWAS for biochemical recurrence will be performed among patients who have undergone radical prostatectomy. Through international collaboration, 5,397 radical-operated patients will be available for assessment, among which biochemical recurrence occurred for 1,071 during follow-up. As in aim 1, supervised machine learning algorithms will be applied to the summary results from the GWAS to create a GRS for biochemical recurrence.
Aim 3. To perform a TWAS for aggressive disease and biochemical recurrence The investigators will perform a multi-tissue TWAS for aggressive disease and biochemical recurrence. Genetic prediction models will be trained using gene expression data measured in 22 tissues from over 3,900 individuals. Through these prediction models, gene expression levels will be imputed in the aggressive (aim 1) and biochemical recurrence (aim 2) study population and explored for association with disease aggressiveness and biochemical recurrence.
Aim 4. To assess the clinical translatability of GRS for aggressive disease and biochemical recurrence Using a large population-based Swedish clinical study of PCa detection, the clinical utility of GRS for aggressive disease and GRS for biochemical recurrence will be explored. In addition, a score based on rare pathogenic variants from 50 DNA repair genes will be assessed. The clinical utility of GRS will be established by comparing the added predictive performance of GRS above established predictive markers, PSA for detection, PSA, Gleason score, and TNM stage for a biochemical recurrence.
Conditions
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Study Design
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COHORT
RETROSPECTIVE
Study Groups
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STHM3
A cohort comprising 2,295 men diagnosed with prostate cancer from the STHM3 trial population will be analyzed. Clinically significant disease is classified as cases with a Gleason grade ≥7, while aggressive disease is defined as stage T4 or cases with Gleason grade ≥8 in combination with stage T3. Indolent disease is characterized as cases with Gleason grade ≤6.
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* Aged 50 to 69 years.
Exclusion Criteria
50 Years
69 Years
MALE
No
Sponsors
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Karolinska Institutet
OTHER
Responsible Party
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Fredrik Wiklund
Associate Professor
Locations
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Karolinska Institutet
Stockholm, Stockholm County, Sweden
Countries
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Other Identifiers
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2023-02626
Identifier Type: -
Identifier Source: org_study_id
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