Clinical trial · Observational
In Situ Clonal Heterogeneity in Prostatic Diagnostic Biopsies
In Situ Clonal Heterogeneity in Prostatic Diagnostic Biopsies: Impact on Prostate Cancer Evolution and Clinical Outcome. A Retrospective, Proof of Concept Study
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Why stopped (as posted): The results of the genomic analyses were compromised due to the low DNA concentration.
Summary
Brief summary (as posted)
This is a retrospective, proof of concept study, which aims at reconstructing the cellular heterogeneity of the tumor in multi-needle diagnostic prostate biopsy as well as any biopsy containing potentially pre-malignant tissue, to study its implications in the clinical history of the disease. For each patient, 2 or more samples will be prepared starting from the FFPE diagnostic material. The biopsy used for assigning the Gleason score will be sequenced, together with two or more of the local peri-proximal biopsies with a higher level of differentiation. Samples will undergo Whole Exome Sequencing with an average coverage of 300x at the Wellcome Sanger Institute (WSI, Hinxton, UK). Sequencing data will be analysed for single nucleotide variants, copy number variants and structural variants by using state-of-the-art data analysis pipeline at WSI. 1. Reconstruction of local PCa heterogeneity in multi-needle diagnostic biopsy with different Gleason scores (6-10) using high-coverage whole exome sequencing (WES) and DP-based clonal analysis; 2. Characterization of the relationships between pathological differentiation (Gleason score) and genomics-measured heterogeneity and malignancy features; 3. Assessment of clinical implications of clonal heterogeneity. The study will include an average of 150 prostatic diagnostic biopsies from a cohort of 20 early metastatic PC patients and 20 non-relapsing/non-metastatic patients with indolent malignant disease.
Conditions
Conditions (2)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Genetic Predisposition | — | UNRESOLVED | — |
| Prostate Cancer | Malignant Prostate Neoplasm | CURATED_EXACT | 0.92 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| clonal heterogeneity evaluation | Genetic | — | UNRESOLVED |
Design
Arms and outcomes
Arms (2)
- label
- early metastatic prostate cancer patients
- description
- Reconstruction of local PCa heterogeneity in multi-needle diagnostic biopsy with different Gleason scores (6-10) using high-coverage whole exome sequencing (WES) and DP-based clonal analysis
- interventionNames
- Genetic: clonal heterogeneity evaluation
- label
- non-relapsing/non-metastatic patients with indolent malignant disease
- description
- Reconstruction of local PCa heterogeneity in multi-needle diagnostic biopsy with different Gleason scores (6-10) using high-coverage whole exome sequencing (WES) and DP-based clonal analysis
- interventionNames
- Genetic: clonal heterogeneity evaluation
Primary outcomes (1)
- measure
- reconstruction of local PCa heterogeneity
- timeFrame
- through study completion, an average of 2 years
Eligibility
Eligibility (as posted)
- Sex
- Male
Show eligibility criteria text
The inclusion criteria for the subjects in the indolent cohort will be: * a local disease with Gleason ≤ 7 (3+4, i.e. more differentiated tissue is found in diagnostic biopsies, better overall prognosis) * no metastasis whatsoever during the follow-up; The inclusion criteria in the early-metastatic aggressive cohort will be: * an advanced prostatic neoplasia with Gleason score ≥ 7 (4+3, i.e. less differentiated tissue is found in diagnostic biopsies, worse overall prognosis) * multiple synchronous or metachronous metastasis. Exclusion Criteria: * insufficient material on the tissue biopsy to be left in archives for further evaluations/analyses; * insufficient amount of tumor cells at baseline;
References
Publications (23)
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- BACKGROUNDChen X, Schulz-Trieglaff O, Shaw R, Barnes B, Schlesinger F, Kallberg M, Cox AJ, Kruglyak S, Saunders CT. Manta: rapid detection of structural variants and indels for germline and cancer sequencing applications. Bioinformatics. 2016 Apr 15;32(8):1220-2. doi: 10.1093/bioinformatics/btv710. Epub 2015 Dec 8. PMID 26647377
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