Literature DB >> 21081515

High-density tissue microarrays from prostate needle biopsies.

F McCarthy1, N Dennis, P Flohr, S Jhavar, C Parker, C S Cooper.   

Abstract

BACKGROUND: Formalin-fixed prostate biopsies are frequently the only tissue collected at the time of prostate cancer diagnosis. There is therefore a requirement for techniques that allow the use of these prostate biopsy specimens in a high-throughput analysis of immunohistochemical and fluorescence-in-situ-hybridisation-detected biomarkers.
METHODS: The authors have previously described methods that allow tissue microarray (TMA) construction from prostate biopsies. Here, we describe significant technical innovations that provide an easier and more robust system of biopsy-TMA construction. RESULTS AND DISCUSSION: The TMAs produced are of a high density (up to 104 cores each, 8 × 13) and allow a multiplex analysis of biomarkers in the context of clinical trials.

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Year:  2010        PMID: 21081515      PMCID: PMC3002837          DOI: 10.1136/jcp.2010.082339

Source DB:  PubMed          Journal:  J Clin Pathol        ISSN: 0021-9746            Impact factor:   3.411


Background

Although prostate cancer is a common disease (over 500 000 cases are diagnosed in North America and Europe each year), there is considerable variation in its natural history.1 Many cancers are indolent and will never become life threatening while other cases, with an initially similar appearance, may rapidly become life threatening. Unfortunately, established prognostic factors (Gleason score, T stage, blood prostate-specific antigen, cancer volume) are inadequate, and it is important to identify new biomarkers that can predict more precisely the clinical behaviour of individual patients. We have previously reported methods that can be used to test biomarkers in formalin-fixed needle biopsies taken from patients with prostate cancer at the time of diagnosis. In each method, we reorientate the biopsies into a vertical orientation allowing construction of biopsy TMAs and subsequent analysis of the markers in cross-sections taken from each biopsy TMA. In our original technique, a maximum of 20 biopsy specimens could be included within each TMA.2 A particular problem with this method is that the cutting out of small regular ‘checkers’ of wax containing a segment of the biopsy on one face, which is required for the construction of the biopsy TMA, is technically demanding and time-consuming. To address this problem, we recently presented a simplified technique for cutting wax checkers that allowed construction of biopsy TMAs containing 54–72 checkers.3 The technique can be used to examine both IHC and FISH based biomarkers.3 These approaches have been validated in studies of the biomarker Ki67 in biopsy specimens from active surveillance patients,4 for the biomarkers Hif-1α, VEGF, osteopontin, MDM2, p53 and Bcl-2 in biopsy specimens from radiotherapy patients.5 6 Here, we present substantial improvements of this procedure that allows more rapid construction of TMAs containing up to 104 biopsy cores.

Technical development

Prostate biopsy samples for these studies were collected from men with untreated, localised (clinical stage T1/2a, Gleason score ≤3+4; prostate-specific antigen <15; ≤50% positive cores) prostate cancer who were managed in a prospective active surveillance study at the Royal Marsden Hospital NHS Foundation Trust. The methods for selecting samples for biopsy TMA construction from patients with prostate cancer entered into active surveillance have been described previously.4 All patients gave their written consent to take part in the active surveillance study, which was approved by the local research ethics committee. The new procedure consists of two steps. In the first step, biopsy donor blocks were constructed using previously reported methods,2 but with only five biopsy checkers per block (figure 1A–F). The height of the ‘checker’ was specifically kept at around 4 mm (figure 1A,B) as previously reported.3 A variation in the new procedure was that the end of the core was painted with a red dot to identify the core end after embedding (figure 1C), and the side of the checker opposing the biopsy core was painted blue (figure 1D) for orientation. A finished biopsy ‘checker’ (figure 1E) and donor block (after paraffin wax embedding) (figure 1F) are shown.
Figure 1

Construction of biopsy donor blocks. For clarity, the formalin-fixed prostate cancer needle biopsy has been coloured green. A malignant portion of the biopsy was marked and represented here by a black rectangle (A). The biopsy was then cut from its original block with a longitudinal length of about 4 mm to create a ‘checker’ (B). The cancerous end of the biopsy ‘checker’ was coloured red (C), and the opposing side to the biopsy was coloured blue (D) for orientation. A finished checker (E) and donor block after embedding (F) are pictured.

Construction of biopsy donor blocks. For clarity, the formalin-fixed prostate cancer needle biopsy has been coloured green. A malignant portion of the biopsy was marked and represented here by a black rectangle (A). The biopsy was then cut from its original block with a longitudinal length of about 4 mm to create a ‘checker’ (B). The cancerous end of the biopsy ‘checker’ was coloured red (C), and the opposing side to the biopsy was coloured blue (D) for orientation. A finished checker (E) and donor block after embedding (F) are pictured. In the second step, we use the conventional TMA construction techniques described by Kononen et al7 to punch out the needle biopsies from the donor block and reset them in a recipient wax block. A hollow needle punch was pushed into the donor block using an MTA1 Manual Tissue Arrayer (Beecher Instruments, Silver Spring, Maryland), to produce a 1.5 mm diameter core with 4 mm depth (figure 2A) that encompassed a biopsy specimen: the red marker dot (figure 1F) was used in each case to define the position that was punched. Each donor core was then transferred to a 1.5 mm diameter, 4 mm deep hole that had been punched into a recipient wax block (figure 2B). In total, a maximum of 104 cores (8×13) could be arrayed in each recipient block. Usually a number of blank spaces were left in each recipient block defining a unique pattern for block identification. This transfer procedure was usually highly efficient: a detailed examination of the many of the donor blocks following transfer failed to identify residual tissue. The only problems encountered were with very curved biopsies specimens that were not suitable for arraying using this procedure. Preparation and sectioning of biopsy TMA blocks were carried out exactly as described previously.2 An example biopsy TMA block constructed by this method is shown in figure 2C, and the corresponding H&E section is shown in figure 2D. The method was initially used to construct biopsy TMAs in a 13×8 format (104 cores), but this created brittle block edges, and we consider the 91 (13×7) pattern to represent the most robust format. We have now used this procedure to construct 12 TMAs from around 1000 biopsies selected from Active Surveillance and MRC RT01 Radiotherapy trials4–6 including the coring and resetting of all biopsies in low-density TMAs constructed using our original method.2
Figure 2

Biopsy tissue microarray (TMA) construction. An MTA1 manual tissue arrayer was used to punch out a biopsy core from a donor block (A). The biopsy core was then transferred to a recipient wax block (B). (C) Example of a finished biopsy TMA with (D) corresponding H&E. A black cross denotes the position of blank spaces.

Biopsy tissue microarray (TMA) construction. An MTA1 manual tissue arrayer was used to punch out a biopsy core from a donor block (A). The biopsy core was then transferred to a recipient wax block (B). (C) Example of a finished biopsy TMA with (D) corresponding H&E. A black cross denotes the position of blank spaces.

Discussion

If biomarkers are to be used clinically for stratifying prostate cancer, they must be tested and validated in tissue obtained from the patient at the time of diagnosis, which usually just includes transrectal-ultrasound-guided prostate needle biopsy, blood or urine. Examination of the prostate biopsy samples yields valuable information including Gleason grade and extent of disease, which facilitate decision-making on the appropriate treatment. The platform that we have developed additionally allows the use of formalin-fixed needle biopsies in multiplex analysis of biomarkers in the precise setting in which they would be used clinically. The multiplex analysis of biomarkers is critical because it is probable that a combination of biomarkers, rather than a single biomarker, will provide the best prognostic or diagnostic information.8 Needle biopsies are also taken at the time of diagnosis from many other human malignancies, including oral cancer, breast cancer and lymph-node metastases, so the techniques developed here for prostate cancer may also have relevance to other diseases.9–11 In conclusion, the improved strategy for biopsy–TMA construction reported here represents a rapid and robust method for producing high-density biopsy–TMA construction that can be used to assess biomarkers in the context of clinical trials. There is an urgent need to identify new biomarkers that will aid in improved targeting of radical treatments in patients with prostate cancer. To identify such biomarkers, it is essential to perform tests on samples taken from the patient at the time of diagnosis, which usually only include blood, urine and transultrasound-guided prostate needle biopsy samples. A novel method is presented that allows the production of high-density tissue microarrays from needle biopsies taken from the prostate at the time of cancer diagnosis. The biopsy TMAs produced can be used for the multiplex analysis of potential biomarkers detected by immunohistochemistry or by fluorescence in situ hybridisation in prostate needle biopsies taken from patients entered into clinical trials.
  11 in total

1.  Intrinsic markers of tumour hypoxia and angiogenesis in localised prostate cancer and outcome of radical treatment: a retrospective analysis of two randomised radiotherapy trials and one surgical cohort study.

Authors:  Roy Vergis; Catherine M Corbishley; Andrew R Norman; Jaclyn Bartlett; Sameer Jhavar; Michael Borre; Sara Heeboll; Alan Horwich; Robert Huddart; Vincent Khoo; Ros Eeles; Colin Cooper; Matthew Sydes; David Dearnaley; Chris Parker
Journal:  Lancet Oncol       Date:  2008-03-17       Impact factor: 41.316

2.  Biopsy tissue microarray study of Ki-67 expression in untreated, localized prostate cancer managed by active surveillance.

Authors:  S Jhavar; J Bartlett; G Kovacs; C Corbishley; D Dearnaley; R Eeles; V Khoo; R Huddart; A Horwich; A Thompson; A Norman; D Brewer; C S Cooper; C Parker
Journal:  Prostate Cancer Prostatic Dis       Date:  2008-09-02       Impact factor: 5.554

Review 3.  Oral cancer and precancerous lesions.

Authors:  Brad W Neville; Terry A Day
Journal:  CA Cancer J Clin       Date:  2002 Jul-Aug       Impact factor: 508.702

4.  Expression of Bcl-2, p53, and MDM2 in localized prostate cancer with respect to the outcome of radical radiotherapy dose escalation.

Authors:  Roy Vergis; Catherine M Corbishley; Karen Thomas; Alan Horwich; Robert Huddart; Vincent Khoo; Ros Eeles; Matthew R Sydes; Colin S Cooper; David Dearnaley; Chris Parker
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-01-21       Impact factor: 7.038

5.  Cancer statistics, 2006.

Authors:  Ahmedin Jemal; Rebecca Siegel; Elizabeth Ward; Taylor Murray; Jiaquan Xu; Carol Smigal; Michael J Thun
Journal:  CA Cancer J Clin       Date:  2006 Mar-Apr       Impact factor: 508.702

Review 6.  Standard for breast conservation therapy in the management of invasive breast carcinoma.

Authors:  Monica Morrow; Eric A Strom; Lawrence W Bassett; D David Dershaw; Barbara Fowble; Armando Giuliano; Jay R Harris; Frances O'Malley; Stuart J Schnitt; S Eva Singletary; David P Winchester
Journal:  CA Cancer J Clin       Date:  2002 Sep-Oct       Impact factor: 508.702

Review 7.  Cervical lymph node metastases of squamous cell carcinoma from an unknown primary.

Authors:  Barbara A Jereczek-Fossa; Jacek Jassem; Roberto Orecchia
Journal:  Cancer Treat Rev       Date:  2004-04       Impact factor: 12.111

8.  Tissue microarrays for high-throughput molecular profiling of tumor specimens.

Authors:  J Kononen; L Bubendorf; A Kallioniemi; M Bärlund; P Schraml; S Leighton; J Torhorst; M J Mihatsch; G Sauter; O P Kallioniemi
Journal:  Nat Med       Date:  1998-07       Impact factor: 53.440

9.  Construction of tissue microarrays from prostate needle biopsy specimens.

Authors:  S Jhavar; C M Corbishley; D Dearnaley; C Fisher; A Falconer; C Parker; R Eeles; C S Cooper
Journal:  Br J Cancer       Date:  2005-08-22       Impact factor: 7.640

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

Authors:  F McCarthy; A Fletcher; N Dennis; C Cummings; H O'Donnell; J Clark; P Flohr; R Vergis; S Jhavar; C Parker; C S Cooper
Journal:  J Clin Pathol       Date:  2009-08       Impact factor: 3.411

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  5 in total

Review 1.  Overview on Techniques to Construct Tissue Arrays with Special Emphasis on Tissue Microarrays.

Authors:  Ulrich Vogel
Journal:  Microarrays (Basel)       Date:  2014-04-17

2.  Methodology for tissue sample collection within a translational sub-study of the CHHiP trial (CRUK/06/016), a large randomised phase III trial in localised prostate cancer.

Authors:  Anna Wilkins; Christine Stuttle; Shama Hassan; Claire Blanchard; Clare Cruickshank; Clare Griffin; Jake Probert; Catherine M Corbishley; Chris Parker; David Dearnaley; Emma Hall
Journal:  Clin Transl Radiat Oncol       Date:  2018-02-16

3.  Prognostic value of Ki-67 for prostate cancer death in a conservatively managed cohort.

Authors:  G Fisher; Z H Yang; S Kudahetti; H Møller; P Scardino; J Cuzick; D M Berney
Journal:  Br J Cancer       Date:  2013-01-17       Impact factor: 7.640

Review 4.  Genomic and Histopathological Tissue Biomarkers That Predict Radiotherapy Response in Localised Prostate Cancer.

Authors:  Anna Wilkins; David Dearnaley; Navita Somaiah
Journal:  Biomed Res Int       Date:  2015-10-04       Impact factor: 3.411

5.  Ki67 Is an Independent Predictor of Recurrence in the Largest Randomized Trial of 3 Radiation Fractionation Schedules in Localized Prostate Cancer.

Authors:  Anna C Wilkins; Barry Gusterson; Zsolt Szijgyarto; Joanne Haviland; Clare Griffin; Christine Stuttle; Frances Daley; Catherine M Corbishley; David P Dearnaley; Emma Hall; Navita Somaiah
Journal:  Int J Radiat Oncol Biol Phys       Date:  2018-02-03       Impact factor: 7.038

  5 in total

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