Literature DB >> 15668891

Applications of tissue microarray technology in immunohistochemistry: a study on c-kit expression in small cell lung cancer.

Valentina Donati1, Pinuccia Faviana, Matteo Dell'omodarme, Maria Cristina Prati, Tiziano Camacci, Katia De Ieso, Riccardo Giannini, Marco Lucchi, Alfredo Mussi, Raffaele Pingitore, Fulvio Basolo, Gabriella Fontanini.   

Abstract

Tissue microarray technology allows the immediate evaluation of molecular profiles of numerous different tissues, with savings of money and time. It was created for rapid, large-scale molecular studies, and the main concern regarding its possible broad acceptance is that the analysis of tissue microarrays instead of whole tissue sections may lead to false negative or positive results because of tissue heterogeneity. In the present study, we analyzed in 54 small cell lung cancers, by immunohistochemistry, the expression of the antigen c-kit, which seems to be important in these neoplasms' tumorigenesis, and compared the staining obtained on whole sections with that of the corresponding tissue microarrays. Although c-kit expression of the whole sections agreed with that of the corresponding biopsies in many cases, the correlation between whole sections and all the companion nonlost single cores or their mean value turned out to be highly significant only if the 36 double negatives (ie, both whole sections and companion tissue microarrays negative) were included (P <0.0001). In fact, if only cases positive to at least 1 of the tests (i.e. whole sections or corresponding tissue microarrays positive) were considered, the correlation was not significant (P=0.055). Tissue microarrays showed a good specificity (94.2% for all single cores and 92.3% for their mean value) but a rather poor sensitivity (respectively, 69.4% and 71.4%). Moreover, a high percentage (13.4%) of cores was lost, and this loss was not random. To sum up, in our experience, tissue microarray technology cannot be a substitute for whole sections in clinical diagnosis of individual cases.

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Year:  2004        PMID: 15668891     DOI: 10.1016/j.humpath.2004.07.016

Source DB:  PubMed          Journal:  Hum Pathol        ISSN: 0046-8177            Impact factor:   3.466


  3 in total

1.  A novel tissue array technique for high-throughput tissue microarray analysis -- microarray groups.

Authors:  Hui-Yong Jiang; Xue-Feng Zhang; Li Liu; Hui-Ling Li; Tong Zhao
Journal:  In Vitro Cell Dev Biol Anim       Date:  2007-05-21       Impact factor: 2.416

2.  Bcl-2 and β1-integrin predict survival in a tissue microarray of small cell lung cancer.

Authors:  M H Lawson; N M Cummings; D M Rassl; S L Vowler; M Wickens; W J Howat; J D Brenton; G Murphy; R C Rintoul
Journal:  Br J Cancer       Date:  2010-11-09       Impact factor: 7.640

Review 3.  Gene Expression Detection Assay for Cancer Clinical Use.

Authors:  Shavira Narrandes; Wayne Xu
Journal:  J Cancer       Date:  2018-06-05       Impact factor: 4.207

  3 in total

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