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Identification of novel epithelial ovarian cancer biomarkers by cross-laboratory microarray analysis

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Summary

The purpose of this study was to pool information in epithelial ovarian cancer by combining studies using Affymetrix expression microarray datasets made at different laboratories to identify novel biomarkers. Epithelial microarray expression information across laboratories was screened and combined after preprocessing raw microarray data, then ANOVA and unpaired T test statistical analysis was performed for identifying differentially expressed genes (DEGs), followed by clustering and pathway analysis for these DEGs. In this work, we performed a combination analysis on microarrays from three different laboratories using gene expression data on ovarian cancer and obtained a list of differential expression profiles identified as potential candidate in aggressiveness of ovarian cancer. The clustering and pathway analysis explored the different molecular basis of different ovarian cancer stages and potential important regulatory pathways in ovarian cancer development. Our results showed that combination of microarray data from different laboratories in the same platforms may overcome biases derived from probe design and technical features, thereby accelerating the identification of trustworthy DEGs, and demonstrating the advantage of integrative analysis in gene expression studies on epithelial ovarian cancer research.

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Authors and Affiliations

  1. Molecular Cancer Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China

    Xuefeng Jiang  (蒋学锋), Tao Zhu  (朱 涛), Jie Yang  (杨 洁), Shuang Li  (李 双), Shuangmei Ye  (叶双梅), Shujie Liao  (廖书杰), Li Meng  (孟 力), Yunping Lu  (卢运萍) & Ding Ma  (马 丁)

Authors
  1. Xuefeng Jiang  (蒋学锋)
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  2. Tao Zhu  (朱 涛)
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  3. Jie Yang  (杨 洁)
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  4. Shuang Li  (李 双)
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  5. Shuangmei Ye  (叶双梅)
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  6. Shujie Liao  (廖书杰)
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  7. Li Meng  (孟 力)
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  8. Yunping Lu  (卢运萍)
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  9. Ding Ma  (马 丁)
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Corresponding author

Correspondence to Ding Ma  (马 丁).

Additional information

These authors contributed equally to this work.

This project was supported by grants from the National Science Foundation of China (No. 30801340; No.30901586; No.30770913).

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Jiang, X., Zhu, T., Yang, J. et al. Identification of novel epithelial ovarian cancer biomarkers by cross-laboratory microarray analysis. J. Huazhong Univ. Sci. Technol. [Med. Sci.] 30, 354–359 (2010). https://doi.org/10.1007/s11596-010-0356-1

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  • DOI: https://doi.org/10.1007/s11596-010-0356-1

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