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Overview of microarray analysis of gene expression and its applications to cervical cancer investigation

  • Angel Chao*
  • , Tzu Hao Wang
  • , Chyong Huey Lai
  • *Corresponding author for this work
  • Chang Gung University
  • Chang Gung Memorial Hospital

Research output: Contribution to journalJournal Article peer-review

17 Scopus citations

Abstract

Cervical cancer is one of the leading female cancers in Taiwan and ranks as the fifth cause of cancer death in the female population. Human papillomavirus has been established as the causative agent for cervical neoplasia and cervical cancer. However, the tumor biology involved in the prognoses of different cell types in early cancers and tumor responses to radiation in advanced cancers remain largely unknown. The introduction of microarray technologies in the 1990s has provided genome-wide strategies for searching tens of thousands of genes simultaneously. In this review, we first summarize the two types of microarrays: oligonucleotides microarray and cDNA microarray. Then, we review the studies of functional genomics in cervical cancer. Gene expression studies that involved cervical cancer cell lines, cervical cells of cancer versus normal ectocervix, cancer tissues of different histology, radioresistant versus radiosensitive patients, and the combinatorial gene expression associated with chromosomal amplifications are discussed. In particular, CEACAM5, TACSTD1, S100P, and MSLN have shown to be upregulated in adenocarcinoma, and increased expression levels of CEACAM5 and TACSTD1 were significantly correlated with poorer patient outcomes. On the other hand, 35 genes, including apoptotic genes (e.g. BIK, TEGT, SSI-3), hypoxia-inducible genes (e.g. HIF1A, CA12), and tumor cell invasion and metastasis genes (e.g. CTSL, CTSB, PLAU, CD44), have been noted to echo the hypothesis that increased tumor hypoxia leads to radiation resistance in cervical cancer during radiation.

Original languageEnglish
Pages (from-to)363-373
Number of pages11
JournalTaiwanese Journal of Obstetrics and Gynecology
Volume46
Issue number4
DOIs
StatePublished - 12 2007
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Cervix
  • Gene expression
  • Microarray
  • Neoplasm

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