Molecular analysis of archival diagnostic prostate cancer biopsies identifies genomic similarities in cases with progression post‐radiotherapy, and those with de novo metastatic disease

The Prostate Pub Date : 2024-04-24 DOI:10.1002/pros.24715
Philip Vincent Charlton, Dawn O'Reilly, Yiannis Philippou, Srinivasa Rao Rao, Alastair David Gordon Lamb, Ian Geoffrey Mills, Geoff Stuart Higgins, Freddie Charles Hamdy, Clare Verrill, Francesca Meteora Buffa, Richard John Bryant
{"title":"Molecular analysis of archival diagnostic prostate cancer biopsies identifies genomic similarities in cases with progression post‐radiotherapy, and those with de novo metastatic disease","authors":"Philip Vincent Charlton, Dawn O'Reilly, Yiannis Philippou, Srinivasa Rao Rao, Alastair David Gordon Lamb, Ian Geoffrey Mills, Geoff Stuart Higgins, Freddie Charles Hamdy, Clare Verrill, Francesca Meteora Buffa, Richard John Bryant","doi":"10.1002/pros.24715","DOIUrl":null,"url":null,"abstract":"BackgroundIt 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).MethodsA cohort of 19 patients with diagnostic prostate biopsies (<jats:italic>n</jats:italic> = 6 sPCa, <jats:italic>n</jats:italic> = 5 pPCa, <jats:italic>n</jats:italic> = 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) (<jats:italic>n</jats:italic> = 19), nanoString analysis (<jats:italic>n</jats:italic> = 12), and Illumina 850k methylation (<jats:italic>n</jats:italic> = 8) sequencing. Bioinformatic analysis was performed to coherently identify differentially expressed genes and methylated genomic regions (MGRs).ResultsEighteen 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 (<jats:italic>p</jats:italic> &lt; 0.0001) in an external cohort.Conclusions3′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.","PeriodicalId":501684,"journal":{"name":"The Prostate","volume":"102 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Prostate","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/pros.24715","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

BackgroundIt 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).MethodsA 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).ResultsEighteen 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.Conclusions3′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.
对存档的诊断性前列腺癌活检组织进行分子分析,发现放疗后病情恶化的病例和新发转移性疾病病例的基因组有相似之处
背景在进行根治性治疗之前,确定可改善前列腺癌(PCa)风险分层的分子特征非常重要。对放疗(RT)后长期临床随访队列中的福尔马林固定石蜡包埋(FFPE)前列腺活检病例进行的分子分析还很有限。利用平行测序模式,我们对历史诊断性 FFPE 前列腺活检组织进行了原则性测序分析。我们对以下患者进行了比较:(i) RT 后或挽救性 RT 后稳定的 PCa (sPCa);(ii) RT 后进展的 PCa (pPCa);(iii) 新发转移性 PCa (mPCa)。方法对 19 例诊断性前列腺活检患者(n = 6 sPCa、n = 5 pPCa、n = 8 mPCa)进行了分组,平均随访 4 年 10 个月(2009-2016 年确诊),从划定的恶性肿瘤中提取核酸。样本进行了3′RNA测序(3′RNAseq)(n = 19)、nanoString分析(n = 12)和Illumina 850k甲基化测序(n = 8)。结果 19 个样本中有 18 个提供了可用的 3′RNAseq 数据。主成分分析(PCA)显示 pPCa 和 mPCa 病例的表达谱与 sPCa 相似。这些组别之间的一致性差异甲基化探针确定了约 600 个差异 MGRs。结论3′RNAseq、nanoString 和 850k 甲基化分析均可通过历史性 FFPE 诊断预处理前列腺活组织检查实现,从而释放出利用大量历史性临床样本群的潜力。前列腺增生症患者和前列腺恶性肿瘤患者之间的相似性分析表明了生物学上的相似性和历史上放射学分期的局限性,这些都值得进一步研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信