Literature DB >> 22966388

Limitations of tissue microarrays compared with whole tissue sections in survival analysis.

M Haysam Khouja1, Mark Baekelandt, Agkha Sarab, Jahn M Nesland, Ruth Holm.   

Abstract

Tissue microarray (TMA) is a promising technique in the evaluation of immunohistochemical markers in tumors and may be used as an alternative for whole sections. However, only a few studies have correlated a clinical outcome with both TMA and results obtained from whole sections. This study compared immunostaining for Ki-67 and p16 in TMA (3 cores from each specimen) and whole sections of 171 cases of stage III epithelial ovarian cancer with clinical data. A high expression of Ki-67 was identified in 85.0, 85.5, 85.8, 90.5 and 84% of cores 1, 2 and 3, TMAs and whole tissue sections, respectively. A high p16 expression was found in 36.5, 31.4, 30.3, 46.3 and 31.0% of cores 1, 2 and 3, TMAs and whole tissue sections, respectively. The high expression of Ki-67 and p16 in whole tissue sections significantly correlated with that of Ki-67 and p16 in core 1 (P<0.0001 and P<0.0001, respectively), core 2 (P<0.0001 and P<0.0001, respectively), core 3 (P<0.0001 and P<0.0001, respectively), and TMAs (P<0.0001 and P<0.0001, respectively). In univariate analysis, a high expression of Ki-67 and p16 in two of the cores; TMA and the whole tissue sections were significantly correlated to disease-related survival (Ki-67: P=0.008, 0.012, 0.012 and 0.0001, respectively, and p16: P=0.0007, 0.0005, 0.0008 and 0.005, respectively). However, in the multivariate analysis only Ki-67 on whole tissue sections retained an independent prognostic significance (P=0.025). We concluded that more studies, with a higher number of cores, are necessary to determine the efficacy of TMA in reflecting the prognostic value of different antibodies. Morever, evaluation of this method is crucial for each type of tumor and each separate antigen. It is also essential to confirm the clinical correlations on the whole sections before investigating the same parameters on TMA.

Entities:  

Year:  2010        PMID: 22966388      PMCID: PMC3436208          DOI: 10.3892/ol_00000145

Source DB:  PubMed          Journal:  Oncol Lett        ISSN: 1792-1074            Impact factor:   2.967


  23 in total

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2.  Intratumor genetic heterogeneity in advanced human colorectal adenocarcinoma.

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3.  Evaluation of the tissue microarray technique for immunohistochemical analysis in rectal cancer.

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Journal:  Arch Pathol Lab Med       Date:  2002-06       Impact factor: 5.534

4.  Routine assessment of prognostic factors in breast cancer using a multicore tissue microarray procedure.

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Journal:  Virchows Arch       Date:  2006-06-13       Impact factor: 4.064

5.  Immunohistochemical expressions of Ki-67, cyclin D1, beta-catenin, cyclooxygenase-2, and epidermal growth factor receptor in human colorectal adenoma: a validation study of tissue microarrays.

Authors:  Yinghao Su; Martha J Shrubsole; Reid M Ness; Qiuyin Cai; Nobuhiko Kataoka; Kay Washington; Wei Zheng
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Authors:  Mark C Griffin; Robert A Robinson; Douglas K Trask
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7.  Validation of tissue microarray technology in ovarian carcinoma.

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Journal:  Mod Pathol       Date:  2004-07       Impact factor: 7.842

8.  Expression of p53, pRB, and p16 in lung tumours: a validation study on tissue microarrays.

Authors:  M A Leversha; P Fielding; S Watson; J R Gosney; J K Field
Journal:  J Pathol       Date:  2003-08       Impact factor: 7.996

9.  Tissue microarray technology: validation in colorectal carcinoma and analysis of p53, hMLH1, and hMSH2 immunohistochemical expression.

Authors:  Florence Jourdan; Nicole Sebbagh; Eva Comperat; Najat Mourra; Antoine Flahault; Sylviane Olschwang; Alex Duval; Richard Hamelin; Jean-François Flejou
Journal:  Virchows Arch       Date:  2003-06-07       Impact factor: 4.064

10.  Heterogeneity of p53 mutational status in esophageal squamous cell carcinoma.

Authors:  S Kuwabara; Y Ajioka; H Watanabe; J Hitomi; K Nishikura; K Hatakeyama
Journal:  Jpn J Cancer Res       Date:  1998-04
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6.  Automated analysis of co-localized protein expression in histologic sections of prostate cancer.

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Journal:  PLoS One       Date:  2017-05-26       Impact factor: 3.240

7.  KDM3A is not associated with metastasis and prognosis of breast cancer.

Authors:  Juan Yao; Shutao Zheng; Baiyan Li; Xinxin Li; Wenya Liu
Journal:  Oncol Lett       Date:  2018-04-25       Impact factor: 2.967

8.  Expression of PAX2 and PAX8 in Wilms Tumor: A Tissue Microarray-based Immunohistochemical Study.

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9.  Ki-67 in endometrial cancer: scoring optimization and prognostic relevance for window studies.

Authors:  Sarah Kitson; Vanitha N Sivalingam; James Bolton; Rhona McVey; Mashid Nickkho-Amiry; Melanie E Powell; Alexandra Leary; Hans W Nijman; Remi A Nout; Tjalling Bosse; Andrew G Renehan; Henry C Kitchener; Richard J Edmondson; Emma J Crosbie
Journal:  Mod Pathol       Date:  2016-12-02       Impact factor: 7.842

10.  Protein expression patterns in cancer-associated fibroblasts and cells undergoing the epithelial-mesenchymal transition in ovarian cancers.

Authors:  Daisuke Fukagawa; Tamotsu Sugai; Mitsumasa Osakabe; Yasuko Suga; Takayuki Nagasawa; Hiroaki Itamochi; Toru Sugiyama
Journal:  Oncotarget       Date:  2018-06-08
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