Literature DB >> 18314065

Using microarray analysis as a prognostic and predictive tool in oncology: focus on breast cancer and normal tissue toxicity.

Dimitry S A Nuyten1, Marc J van de Vijver.   

Abstract

Microarray analysis makes it possible to study the expression levels of tens of thousands of genes in one single experiment and is widely available for research purposes. Gene expression profiling is currently being used in many research projects aimed at identifying gene expression signatures in malignant tumors associated with prognosis and response to therapy. An important goal of such research is to develop gene expression-based diagnostic tests that can be used to guide therapy in cancer patients. Here we provide examples of studies using microarrays, especially focusing on breast cancer, in a wide range of fields including prediction of prognosis, distant metastasis and local recurrence, therapy response to radio- and chemotherapy, and normal tissue response.

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Year:  2008        PMID: 18314065     DOI: 10.1016/j.semradonc.2007.10.007

Source DB:  PubMed          Journal:  Semin Radiat Oncol        ISSN: 1053-4296            Impact factor:   5.934


  10 in total

Review 1.  Gene-expression profiling in rheumatic disease: tools and therapeutic potential.

Authors:  Jason W Bauer; Hatice Bilgic; Emily C Baechler
Journal:  Nat Rev Rheumatol       Date:  2009-05       Impact factor: 20.543

2.  Mitochondrial proteomics analysis of tumorigenic and metastatic breast cancer markers.

Authors:  Yi-Wen Chen; Hsiu-Chuan Chou; Ping-Chiang Lyu; Hsien-Sheng Yin; Fang-Liang Huang; Wun-Shaing Wayne Chang; Chiao-Yuan Fan; I-Fan Tu; Tzu-Chia Lai; Szu-Ting Lin; Ying-Chieh Lu; Chieh-Lin Wu; Shun-Hong Huang; Hong-Lin Chan
Journal:  Funct Integr Genomics       Date:  2011-01-19       Impact factor: 3.410

3.  Impact of intertumoral heterogeneity on predicting chemotherapy response of BRCA1-deficient mammary tumors.

Authors:  Sven Rottenberg; Marieke A Vollebergh; Bas de Hoon; Jorma de Ronde; Philip C Schouten; Ariena Kersbergen; Serge A L Zander; Marina Pajic; Janneke E Jaspers; Martijn Jonkers; Martin Lodén; Wendy Sol; Eline van der Burg; Jelle Wesseling; Jean-Pierre Gillet; Michael M Gottesman; Joost Gribnau; Lodewyk Wessels; Sabine C Linn; Jos Jonkers; Piet Borst
Journal:  Cancer Res       Date:  2012-03-06       Impact factor: 12.701

4.  Cytogenetic and cDNA microarray expression analysis of MCF10 human breast cancer progression cell lines.

Authors:  Narasimharao V Marella; Kishore S Malyavantham; Jianmin Wang; Sei-ichi Matsui; Ping Liang; Ronald Berezney
Journal:  Cancer Res       Date:  2009-07-07       Impact factor: 12.701

Review 5.  Transcriptome and proteome research in veterinary science: what is possible and what questions can be asked?

Authors:  Robert Klopfleisch; Achim D Gruber
Journal:  ScientificWorldJournal       Date:  2012-01-04

6.  The transcriptomic revolution and radiation biology.

Authors:  Sally A Amundson
Journal:  Int J Radiat Biol       Date:  2021-10-11       Impact factor: 3.352

7.  Comparative analysis of three functional predictive assays in lymphocytes of patients with breast and gynaecological cancer treated by radiotherapy.

Authors:  Anna Padjas; Piotr Kedzierawski; Agnieszka Florek; Pawel Kukolowicz; Tomasz Kuszewski; Stanislaw Góźdz; Anna Lankoff; Andrzej Wojcik; Halina Lisowska
Journal:  J Contemp Brachytherapy       Date:  2012-12-28

8.  Biological convergence of cancer signatures.

Authors:  Xavier Solé; Núria Bonifaci; Núria López-Bigas; Antoni Berenguer; Pilar Hernández; Oscar Reina; Christopher A Maxwell; Helena Aguilar; Ander Urruticoechea; Silvia de Sanjosé; Francesc Comellas; Gabriel Capellá; Víctor Moreno; Miguel Angel Pujana
Journal:  PLoS One       Date:  2009-02-20       Impact factor: 3.240

9.  Constitutive gene expression profile segregates toxicity in locally advanced breast cancer patients treated with high-dose hyperfractionated radical radiotherapy.

Authors:  Luis Alberto Henríquez Hernández; Pedro Carlos Lara; Beatriz Pinar; Elisa Bordón; Carlos Rodríguez Gallego; Cristina Bilbao; Leandro Fernández Pérez; Amílcar Flores Morales
Journal:  Radiat Oncol       Date:  2009-06-04       Impact factor: 3.481

Review 10.  "OMIC" tumor markers for breast cancer: A review.

Authors:  Naila Irum Hadi; Qamar Jamal
Journal:  Pak J Med Sci       Date:  2015 Sep-Oct       Impact factor: 1.088

  10 in total

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