Genome-Scale DNA Methylome and Transcriptome Profiles of Prostate Cancer Recurrence After Prostatectomy

被引:0
|
作者
Smith, Jim [1 ,2 ]
Ajithkumar, Priyadarshana [1 ]
Wilkinson, Emma J. [3 ]
Dutta, Atreyi [1 ]
Vasantharajan, Sai Shyam [1 ]
Yee, Angela [1 ]
Gimenez, Gregory [1 ]
Subramaniam, Rathan M. [4 ]
Lau, Michael [5 ]
Zarrabi, Amir D. [6 ]
Rodger, Euan J. [1 ]
Chatterjee, Aniruddha [1 ,7 ]
机构
[1] Univ Otago, Dunedin Sch Med, Dept Pathol, Dunedin 9054, New Zealand
[2] Te Whatu Ora Hlth NZ Southern, Dunedin Hosp, Dept Gen Surg, Dunedin 9016, New Zealand
[3] Univ Tasmania, Wicking Dementia Res & Educ Ctr, Hobart, Tas 7005, Australia
[4] Univ Notre Dame, Fac Med Nursing & Midwifery & Hlth Sci, Sydney, NSW 2000, Australia
[5] Awanui Labs Otago Southland, Dunedin 9016, New Zealand
[6] Mercy Hosp, Precis Urol, Dunedin 9010, New Zealand
[7] UPES Univ, Sch Hlth Sci & Technol, Dehra Dun 248007, India
关键词
prostate cancer; biochemical recurrence; DNA methylation; gene expression; methylationEPIC V2 array; RNA-Seq; epigenetics; BIOCONDUCTOR; PROGRESSION; DEFINITION; BIOMARKERS; GUIDELINES; PACKAGE; SAMPLES;
D O I
10.3390/data9120150
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Prostate cancer (PCa) is a major health burden worldwide, and despite early treatment, many patients present with biochemical recurrence (BCR) post-treatment, reflected by a rise in prostate-specific antigen (PSA) over a clinical threshold. Novel transcriptomic and epigenomic biomarkers can provide a powerful tools for the clinical management of PCa. Here, we provide matched RNA sequencing and array-based genome-wide DNA methylome data of PCa patients (n = 17) with or without evidence of BCR following radical prostatectomy. Formalin-fixed paraffin-embedded (FFPE) tissues were used to generate these data, which included technical replicates to provide further validity of the data. We describe the sample features, experimental design, methods and bioinformatic pipelines for processing these multi-omic data. Importantly, comprehensive clinical, histopathological, and follow-up data for each patient were provided to enable the correlation of transcriptome and methylome features with clinical features. Our data will contribute towards the efforts of developing epigenomic and transcriptomic markers for BCR and also facilitate a deeper understanding of the molecular basis of PCa recurrence. Dataset: MethylationEPIC v2.0 array and RNA-Seq data for this study can be found in the GEO database under accession number GSE282574.
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页数:17
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