Literature DB >> 12481020

Tissue microarrays are an effective quality assurance tool for diagnostic immunohistochemistry.

Forrest D Hsu1, Torsten O Nielsen, Abdulmohsen Alkushi, Bev Dupuis, David Huntsman, Chih Long Liu, Matt van de Rijn, C Blake Gilks.   

Abstract

There has been considerable variability in the reported results of immunohistochemical staining for some diagnostically relevant antigens. Our objectives in this study were to (1) use a multitumor tissue microarray with tissue from 351 cases received in our department, representing 16 normal tissues and 47 different tumor types, to compare immunohistochemical staining results in our laboratory with published data, using a panel of 22 antibodies; (2) assess interlaboratory variability of immunohistochemical staining for S-100 using this microarray; and (3) test the ability of hierarchical clustering analysis to group tumors by primary site, based on their immunostaining profile. Tissue microarrays consisting of duplicate 0.6-mm cores from blocks identified in the hospital archives were constructed and stained according to our usual protocols. Antibodies directed against the following antigens were used: B72.3, bcl-2, carcinoembryonic antigen, c-kit, pankeratin, CD 68, CD 99, CK 5/6, CK 7, CK 8/18, CK19, CK 20, CK 22, epithelial membrane antigen, estrogen receptor, melan-A, p53, placental alkaline phosphatase, S-100, synaptophysin, thyroid transcription factor-1, and vimentin. Staining results on the array cases were compared with published results, and hierarchical clustering analysis was performed based on the immunohistochemical staining results. Unstained slides of the multitumor tissue microarray were sent to five other diagnostic immunohistochemistry laboratories and stained for S-100 protein. The staining results from the different laboratories were compared. Staining results using our current methods and samples from our laboratory were compatible with those described in the literature for most antigens. Placental alkaline phosphatase staining was not specific with our protocol, showing staining of a broad spectrum of different tumors; this finding initiated a review of our recent requests for placental alkaline phosphatase immunostaining and revealed two instances in which placental alkaline phosphatase positivity was incorrectly interpreted as evidence of a germ cell tumor. S-100 staining was less sensitive but more specific for the diagnosis of melanoma or neural tumor in our laboratory, compared to some published reports. Assessment of interlaboratory variability of S-100 immunostaining showed that there was more frequent staining of carcinomas in some laboratories, resulting in decreased specificity of S-100 staining in distinguishing melanoma from carcinoma. Hierarchical clustering analysis showed a strong trend for tumors to cluster by tissue of origin, but there were significant exceptions. We conclude that multiple-tumor microarrays are an efficient method for assessing the sensitivity and specificity of staining with any antibody used diagnostically. As a tool for quality assurance, they offer the advantage of taking into account local differences in tissue fixation, processing, and staining. They also allow cost-effective assessment of interlaboratory variability in immunohistochemical staining. Results of hierarchical clustering analysis show the potential for panels of immunohistochemical stains to identify the primary site of metastatic carcinomas but also confirm the limitations of currently available antibodies in giving unequivocal tissue-specific staining patterns.

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Year:  2002        PMID: 12481020     DOI: 10.1097/01.MP.0000039571.02827.CE

Source DB:  PubMed          Journal:  Mod Pathol        ISSN: 0893-3952            Impact factor:   7.842


  41 in total

1.  Software tools for high-throughput analysis and archiving of immunohistochemistry staining data obtained with tissue microarrays.

Authors:  Chih Long Liu; Wijan Prapong; Yasodha Natkunam; Ash Alizadeh; Kelli Montgomery; C Blake Gilks; Matt van de Rijn
Journal:  Am J Pathol       Date:  2002-11       Impact factor: 4.307

Review 2.  Demystified...tissue microarray technology.

Authors:  J Packeisen; E Korsching; H Herbst; W Boecker; H Buerger
Journal:  Mol Pathol       Date:  2003-08

3.  A novel method for preparation of tissue microarray.

Authors:  Han-Lei Dan; Ya-Li Zhang; Yan Zhang; Ya-Dong Wang; Zuo-Sheng Lai; Yu-Jie Yang; Hai-Hong Cui; Yan-Ting Jian; Jian Geng; Yan-Qing Ding; Chun-Hai Guo; Dian-Yuan Zhou
Journal:  World J Gastroenterol       Date:  2004-02-15       Impact factor: 5.742

4.  Miniature tissue microarrays for HercepTest standardisation and analysis.

Authors:  C Gulmann; P Loring; A O'Grady; E Kay
Journal:  J Clin Pathol       Date:  2004-11       Impact factor: 3.411

5.  Advances in cancer tissue microarray technology: Towards improved understanding and diagnostics.

Authors:  Wenjin Chen; David J Foran
Journal:  Anal Chim Acta       Date:  2006-01-23       Impact factor: 6.558

6.  The role of Bcl-2 family members in the progression of cutaneous melanoma.

Authors:  Jason A Bush; Gang Li
Journal:  Clin Exp Metastasis       Date:  2003       Impact factor: 5.150

7.  Proficiency testing of immunohistochemical biomarker assays in breast cancer.

Authors:  Reinhard von Wasielewski; Svenja Hasselmann; Josef Rüschoff; Annette Fisseler-Eckhoff; Hans Kreipe
Journal:  Virchows Arch       Date:  2008-10-29       Impact factor: 4.064

8.  Clinical and prognostic value of MET gene copy number gain and chromosome 7 polysomy in primary colorectal cancer patients.

Authors:  An Na Seo; Kyoung Un Park; Gheeyoung Choe; Woo Ho Kim; Duck-Woo Kim; Sung-Bum Kang; Hye Seung Lee
Journal:  Tumour Biol       Date:  2015-07-10

Review 9.  Tissue Microarray: A rapidly evolving diagnostic and research tool.

Authors:  Nazar M T Jawhar
Journal:  Ann Saudi Med       Date:  2009 Mar-Apr       Impact factor: 1.526

10.  HER-2/neu oncogene amplification by chromogenic in situ hybridization in 130 breast cancers using tissue microarray and clinical follow-up studies.

Authors:  Eundeok Chang; Anhi Lee; Eunjung Lee; Hekyung Lee; Okran Shin; Sejeong Oh; Changsuk Kang
Journal:  J Korean Med Sci       Date:  2004-06       Impact factor: 2.153

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