Sampling strategies for tissue microarrays to evaluate biomarkers in ovarian cancer

Jenny Permuth-Wey, David Boulware, Nikola Valkov, Sandra Livingston, Santo Nicosia, Ji Hyun Lee, Rebecca Sutphen, Joellen Schildkraut, Steven Narod, Alexander Parker, Domenico Coppola, Thomas Sellers, Tuya Pal

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

Introduction: Tissue microarrays (TMA) enable rapid analysis of biomarkers in large-scale studies involving archival tumor specimens, however, their utility in heterogeneous tumors such as ovarian cancer is limited. Methods: In this study, immunohistochemical analysis was done on TMAs comprised of epithelial ovarian cancer (EOC) to estimate the prevalence of loss of expression of three mismatch repair proteins. TMAs were initially created using cores sampled from the center of donor tissue blocks from 59 EOC cases. Full sections were subsequently created and levels of expression were compared between tissues sampled from the central portion versus the periphery. Follow-up analyses were done by obtaining cores from the periphery of up to five additional donor blocks per case. A linear mixed model for each protein was used to investigate differences between results from the initial and follow-up blocks. Results: In the original TMAs created using centrally sampled cores, loss of mismatch repair expression was noted in 17 (29%) of the 59 cases. By comparison, analyses from peripherally sampled cores revealed loss of expression in only 6 of these 17 cases. For each protein, significant differences (P < 0.05) were detected between results from the initial donor block and the majority of the follow-up blocks. Conclusions: Our investigations, based on EOC, suggest that sampling variability in protein expression may result when TMAs are used. Thus, at least for EOC, it is important to preferentially sample from the periphery of tumor blocks where exposure to tissue fixatives is optimal.

Original languageEnglish (US)
Pages (from-to)28-34
Number of pages7
JournalCancer Epidemiology Biomarkers and Prevention
Volume18
Issue number1
DOIs
StatePublished - Jan 2009

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Ovarian Neoplasms
Biomarkers
DNA Mismatch Repair
Proteins
Neoplasms
Fixatives
Linear Models
Tissue Donors
Ovarian epithelial cancer

ASJC Scopus subject areas

  • Epidemiology
  • Oncology

Cite this

Permuth-Wey, J., Boulware, D., Valkov, N., Livingston, S., Nicosia, S., Lee, J. H., ... Pal, T. (2009). Sampling strategies for tissue microarrays to evaluate biomarkers in ovarian cancer. Cancer Epidemiology Biomarkers and Prevention, 18(1), 28-34. https://doi.org/10.1158/1055-9965.EPI-08-0713

Sampling strategies for tissue microarrays to evaluate biomarkers in ovarian cancer. / Permuth-Wey, Jenny; Boulware, David; Valkov, Nikola; Livingston, Sandra; Nicosia, Santo; Lee, Ji Hyun; Sutphen, Rebecca; Schildkraut, Joellen; Narod, Steven; Parker, Alexander; Coppola, Domenico; Sellers, Thomas; Pal, Tuya.

In: Cancer Epidemiology Biomarkers and Prevention, Vol. 18, No. 1, 01.2009, p. 28-34.

Research output: Contribution to journalArticle

Permuth-Wey, J, Boulware, D, Valkov, N, Livingston, S, Nicosia, S, Lee, JH, Sutphen, R, Schildkraut, J, Narod, S, Parker, A, Coppola, D, Sellers, T & Pal, T 2009, 'Sampling strategies for tissue microarrays to evaluate biomarkers in ovarian cancer', Cancer Epidemiology Biomarkers and Prevention, vol. 18, no. 1, pp. 28-34. https://doi.org/10.1158/1055-9965.EPI-08-0713
Permuth-Wey, Jenny ; Boulware, David ; Valkov, Nikola ; Livingston, Sandra ; Nicosia, Santo ; Lee, Ji Hyun ; Sutphen, Rebecca ; Schildkraut, Joellen ; Narod, Steven ; Parker, Alexander ; Coppola, Domenico ; Sellers, Thomas ; Pal, Tuya. / Sampling strategies for tissue microarrays to evaluate biomarkers in ovarian cancer. In: Cancer Epidemiology Biomarkers and Prevention. 2009 ; Vol. 18, No. 1. pp. 28-34.
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