Personalised oncology through mutational profiling of cancers requires the procurement of fresh frozen tumour samples for genomics applications.
While primary cancers are often surgically excised and therefore yield such tissue, metastases in the setting of a known cancer diagnosis are not routinely sampled prior to systemic therapy. Our study aimed to determine the suitability of extracted nucleic acids for genomics applications using distant metastatic prostate cancer samples obtained via percutaneous or surgical biopsy. Patients with metastatic prostate cancer were recruited for image-guided biopsy of metastases. Patients undergoing surgical procedures for the complications of metastases were also recruited. Tissue samples were flash frozen and cryosectioned for histological examination. DNA and RNA were simultaneously extracted and genomic DNA hybridised onto SNP arrays for genome-wide copy number analysis. 37 samples of metastatic tissue from seven patients with prostate cancer were obtained. Five of these underwent image-guided biopsies whilst two had therapeutic surgical procedures performed. 22 biopsy samples were obtained across the image-guided biopsy patients with 80 % of samples being successfully processed for downstream analysis. Nucleic acid yield from these samples were satisfactory for genomics applications. Copy number analysis revealed a median estimated tumour purity of 53 % and all samples showed chromosomal abnormalities suggestive of malignancy. The procurement of osseous metastatic prostate cancer from live patients, including the use of image-guided biopsy, is safe and feasible. Sufficient tissue can be obtained in a manner such that extracted nucleic acids are suitable for genomics research.
Written by:
Hong MK, Sapre N, Phal PM, Macintyre G, Chin X, Pedersen JS, Ryan A, Kerger M, Costello AJ, Corcoran NM, Hovens CM. Are you the author?
Division of Urology, Department of Surgery, Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia.
Reference: Clin Exp Metastasis. 2013 Oct 2. Epub ahead of print.
doi: 10.1007/s10585-013-9617-2
PubMed Abstract
PMID: 24085599
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