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Molecular analysis of archival diagnostic prostate cancer biopsies identifies genomic similarities in cases with progression post-radiotherapy, and those with de novo metastatic disease.
Charlton, Philip Vincent; O'Reilly, Dawn; Philippou, Yiannis; Rao, Srinivasa Rao; Lamb, Alastair David Gordon; Mills, Ian Geoffrey; Higgins, Geoff Stuart; Hamdy, Freddie Charles; Verrill, Clare; Buffa, Francesca Meteora; Bryant, Richard John.
Affiliation
  • Charlton PV; Department of Oncology, University of Oxford, Oxford, UK.
  • O'Reilly D; Department of Oncology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
  • Philippou Y; Department of Oncology, University of Oxford, Oxford, UK.
  • Rao SR; Department of Urology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
  • Lamb ADG; Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.
  • Mills IG; Department of Urology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
  • Higgins GS; Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.
  • Hamdy FC; Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.
  • Verrill C; Department of Oncology, University of Oxford, Oxford, UK.
  • Buffa FM; Department of Oncology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
  • Bryant RJ; Department of Urology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
Prostate ; 84(10): 977-990, 2024 Jul.
Article in En | MEDLINE | ID: mdl-38654435
ABSTRACT

BACKGROUND:

It is important to identify molecular features that improve prostate cancer (PCa) risk stratification before radical treatment with curative intent. Molecular analysis of historical diagnostic formalin-fixed paraffin-embedded (FFPE) prostate biopsies from cohorts with post-radiotherapy (RT) long-term clinical follow-up has been limited. Utilizing parallel sequencing modalities, we performed a proof-of-principle sequencing analysis of historical diagnostic FFPE prostate biopsies. We compared patients with (i) stable PCa (sPCa) postprimary or salvage RT, (ii) progressing PCa (pPCa) post-RT, and (iii) de novo metastatic PCa (mPCa).

METHODS:

A cohort of 19 patients with diagnostic prostate biopsies (n = 6 sPCa, n = 5 pPCa, n = 8 mPCa) and mean 4 years 10 months follow-up (diagnosed 2009-2016) underwent nucleic acid extraction from demarcated malignancy. Samples underwent 3'RNA sequencing (3'RNAseq) (n = 19), nanoString analysis (n = 12), and Illumina 850k methylation (n = 8) sequencing. Bioinformatic analysis was performed to coherently identify differentially expressed genes and methylated genomic regions (MGRs).

RESULTS:

Eighteen of 19 samples provided useable 3'RNAseq data. Principal component analysis (PCA) demonstrated similar expression profiles between pPCa and mPCa cases, versus sPCa. Coherently differentially methylated probes between these groups identified ~600 differentially MGRs. The top 50 genes with increased expression in pPCa patients were associated with reduced progression-free survival post-RT (p < 0.0001) in an external cohort.

CONCLUSIONS:

3'RNAseq, nanoString and 850k-methylation analyses are each achievable from historical FFPE diagnostic pretreatment prostate biopsies, unlocking the potential to utilize large cohorts of historic clinical samples. Profiling similarities between individuals with pPCa and mPCa suggests biological similarities and historical radiological staging limitations, which warrant further investigation.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prostatic Neoplasms / Disease Progression Limits: Aged / Humans / Male / Middle aged Language: En Journal: Prostate Year: 2024 Document type: Article Affiliation country: Reino Unido

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prostatic Neoplasms / Disease Progression Limits: Aged / Humans / Male / Middle aged Language: En Journal: Prostate Year: 2024 Document type: Article Affiliation country: Reino Unido