Literature DB >> 18421211

Gene expression profiling distinguishes between spontaneous and radiation-induced rat mammary carcinomas.

Tatsuhiko Imaoka1, Satoshi Yamashita, Mayumi Nishimura, Shizuko Kakinuma, Toshikazu Ushijima, Yoshiya Shimada.   

Abstract

The ability to distinguish between spontaneous and radiation-induced cancers in humans is expected to improve the resolution of estimated risk from low dose radiation. Mammary carcinomas were obtained from Sprague-Dawley rats that were either untreated (n = 45) or acutely gamma-irradiated (1 Gy; n = 20) at seven weeks of age. Gene expression profiles of three spontaneous and four radiation-induced carcinomas, as well as those of normal mammary glands, were analyzed by microarrays. Differential expression of identified genes of interest was then verified by quantitative polymerase chain reaction (qPCR). Cluster analysis of global gene expression suggested that spontaneous carcinomas were distinguished from a heterogeneous population of radiation-induced carcinomas, though most gene expressions were common. We identified 50 genes that had different expression levels between spontaneous and radiogenic carcinomas. We then selected 18 genes for confirmation of the microarray data by qPCR analysis and obtained the following results: high expression of Plg, Pgr and Wnt4 was characteristic to all spontaneous carcinomas; Tnfsf11, Fgf10, Agtr1a, S100A9 and Pou3f3 showed high expression in a subset of radiation-induced carcinomas; and increased Gp2, Areg and Igf2 expression, as well as decreased expression of Ca3 and non-coding RNA Mg1, were common to all carcinomas. Thus, gene expression analysis distinguished between spontaneous and radiogenic carcinomas, suggesting possible differences in their carcinogenic mechanism.

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Year:  2008        PMID: 18421211     DOI: 10.1269/jrr.07126

Source DB:  PubMed          Journal:  J Radiat Res        ISSN: 0449-3060            Impact factor:   2.724


  3 in total

1.  Changes in mitochondrial DNA alter expression of nuclear encoded genes associated with tumorigenesis.

Authors:  Jana Jandova; Jaroslav Janda; James E Sligh
Journal:  Exp Cell Res       Date:  2012-06-13       Impact factor: 3.905

Review 2.  Review of S100A9 biology and its role in cancer.

Authors:  Joseph Markowitz; William E Carson
Journal:  Biochim Biophys Acta       Date:  2012-11-01

3.  Transcriptional characterization of conjunctival melanoma identifies the cellular tumor microenvironment and prognostic gene signatures.

Authors:  Julian Wolf; Claudia Auw-Haedrich; Anja Schlecht; Stefaniya Boneva; Hans Mittelviefhaus; Thabo Lapp; Hansjürgen Agostini; Thomas Reinhard; Günther Schlunck; Clemens A K Lange
Journal:  Sci Rep       Date:  2020-10-12       Impact factor: 4.379

  3 in total

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