Application of expression genomics for predicting treatment response in cancer.

Khew Voon Chin, Leah Alabanza, Kazuyuki Fujii, Kazuya Kudoh, Tsunekazu Kita, Yoshihiro Kikuchi, Zachariah E. Selvanayagam, Yick Fu Wong, Yong Lin, Wei Chung Shih

Research output: Contribution to journalReview articlepeer-review

1 Scopus citations


During tumor progression, multiple genetic changes in the genome vastly alter the transcriptomes of cancers. Some of these changes, including the mutations of various growth regulatory genes as well as alterations in the transcription of a large number of genes, may lead to resistance to treatment. Therefore, capturing such genomic information of the tumors would enable a physician to decide on the course of treatment options clinically available. Currently, it is still not feasible to identify all the genetic mutations that have occurred in a patient's cancer genome. However, the advent of DNA microarray coupled with the completion of the human genome sequence and the identification of all its genes, have made possible genome-wide gene expression profiling of the cancer genome. In this review, we will focus on the application of expression genomics for identifying signature gene expression profiles in primary cancers to predict response to either radio- or chemotherapy. We envision that transcription profiling of the cancer genomes ultimately will not only reveal how altered gene expression results in resistance to treatment, but also be exploited for predicting and personalizing cancer therapy.

Original languageEnglish (US)
Pages (from-to)186-195
Number of pages10
JournalAnnals of the New York Academy of Sciences
StatePublished - Nov 2005
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Neuroscience(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • History and Philosophy of Science


Dive into the research topics of 'Application of expression genomics for predicting treatment response in cancer.'. Together they form a unique fingerprint.

Cite this