4.4 Article

An improved method for constructing tissue microarrays from prostate needle biopsy specimens

期刊

JOURNAL OF CLINICAL PATHOLOGY
卷 62, 期 8, 页码 694-698

出版社

BMJ PUBLISHING GROUP
DOI: 10.1136/jcp.2009.065201

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资金

  1. National Cancer Research Institute
  2. Grand Charity of Freemasons
  3. Rosetrees Trust
  4. Prostate Cancer Charity
  5. MRC [G0501019] Funding Source: UKRI
  6. Cancer Research UK [10588] Funding Source: researchfish
  7. Medical Research Council [G0501019] Funding Source: researchfish

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Background: Prostate cancer diagnosis is routinely made by the histopathological examination of formalin fixed needle biopsy specimens. Frequently this is the only cancer tissue available from the patient for the analysis of diagnostic and prognostic biomarkers. There is, therefore, an urgent need for methods that allow the high-throughput analysis of these biopsy samples using immunohistochemical (IHC) markers and fluorescence in situ hybridisation (FISH) analysis based markers. Methods: A method that allows the construction of tissue microarrays (TMAs) from diagnostic prostate needle biopsy cores has previously been reported. However, the technique only allows the production of low-density biopsy TMAs with a maximum of 20 cores per TMA. Here two methods are presented that allow the rapid and uniform production of biopsy TMAs containing between 54 and 72 biopsy cores. IHC and FISH techniques were used to detect biomarker status. Results: Biopsy TMAs were constructed from prostate needle biopsy specimens taken from 102 patients entered into an active surveillance trial and 201 patients in a radiotherapy trial. The detection rate for cancer in slices of these biopsy TMAs was 66% and 79% respectively. Slices of a biopsy TMA prepared from biopsies from active surveillance patients were used to detect multiple IHC markers and to score TMPRSS2-ERG fusion status in a FISH-based assay. Conclusions: The construction of biopsy TMAs provides an effective method for the multiplex analysis of IHC and FISH markers and for their assessment as prognostic biomarkers in the context of clinical trials.

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