title: Application of expression genomics for predicting treatment response in cancer.
abstract: 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.
authors.affiliation: Department of Medicine, Medical University of Ohio at Toledo, Toledo, Ohio 43614-5809, USA. kchin@meduohio.edu
authors.forename: Khew-Voon
authors.initials: KV
authors.lastname: Chin
authors.forename: Leah
authors.initials: L
authors.lastname: Alabanza
authors.forename: Kazuyuki
authors.initials: K
authors.lastname: Fujii
authors.forename: Kazuya
authors.initials: K
authors.lastname: Kudoh
authors.forename: Tsunekazu
authors.initials: T
authors.lastname: Kita
authors.forename: Yoshihiro
authors.initials: Y
authors.lastname: Kikuchi
authors.forename: Zachariah E
authors.initials: ZE
authors.lastname: Selvanayagam
authors.forename: Yick Fu
authors.initials: YF
authors.lastname: Wong
authors.forename: Yong
authors.initials: Y
authors.lastname: Lin
authors.forename: Wei Chung
authors.initials: WC
authors.lastname: Shih
mesh_terms: D000818:Animals; D000970:Antineoplastic Agents / Q000627:therapeutic use; D018450:Disease Progression; D015972:Gene Expression Regulation, Neoplastic; D016678:Genome; D023281:Genomics; D006801:Humans; D009369:Neoplasms / Q000235:genetics* / Q000378:metabolism / Q000628:therapy*; D020411:Oligonucleotide Array Sequence Analysis; D016896:Treatment Outcome
chemical_list: D000970:Antineoplastic Agents