Literature DB >> 22043058

Gene profiling assay and application: the predictive role in primary therapy.

Debora Fumagalli1, Christine Desmedt, Michail Ignatiadis, Sherene Loi, Martine Piccart, Christos Sotiriou.   

Abstract

Several treatment options, including endocrine therapy, chemotherapy, and targeted therapy, have been shown to improve survival of breast cancer patients. Currently, clinical tests for predicting cancer response are not available, and individual markers have shown little predictive value. Several gene expression profiling studies have been carried out in the attempt to identify predictive signatures. The neoadjuvant setting revealed to be ideal for this purpose because it allows the direct assessment of response to treatment, and tumor is readily available for multiple time point biopsies. Although the results are promising, at the moment, none of these signatures has been proven to be of sufficient discriminatory power to be used in clinical setting. More effective therapies targeted to specific subsets of patients, accurate and standardized definition of therapeutic response, and properly designed clinical trials are required before microarrays can reliably be used as tools for clinical decision making.

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Year:  2011        PMID: 22043058     DOI: 10.1093/jncimonographs/lgr040

Source DB:  PubMed          Journal:  J Natl Cancer Inst Monogr        ISSN: 1052-6773


  4 in total

1.  Gene expression and pathologic response to neoadjuvant chemotherapy in breast cancer.

Authors:  Agnieszka Kolacinska; Wojciech Fendler; Janusz Szemraj; Bozena Szymanska; Ewa Borowska-Garganisz; Magdalena Nowik; Justyna Chalubinska; Robert Kubiak; Zofia Pawlowska; Maria Blasinska-Morawiec; Piotr Potemski; Arkadiusz Jeziorski; Zbigniew Morawiec
Journal:  Mol Biol Rep       Date:  2012-02-09       Impact factor: 2.316

2.  Molecular genetics complexity impeding research progress in breast and ovarian cancers.

Authors:  Ishita Gupta; Ikram Burney; Mansour S Al-Moundhri; Yahya Tamimi
Journal:  Mol Clin Oncol       Date:  2017-05-29

3.  Predictive performance of microarray gene signatures: impact of tumor heterogeneity and multiple mechanisms of drug resistance.

Authors:  Charlotte K Y Ng; Britta Weigelt; Roger A'Hern; Francois-Clement Bidard; Christophe Lemetre; Charles Swanton; Ronglai Shen; Jorge S Reis-Filho
Journal:  Cancer Res       Date:  2014-04-04       Impact factor: 12.701

4.  Patterns of cancer genetic testing: a randomized survey of Oregon clinicians.

Authors:  Summer L Cox; Amy I Zlot; Kerry Silvey; Debi Elliott; Tara Horn; Amber Johnson; Richard F Leman
Journal:  J Cancer Epidemiol       Date:  2012-10-24
  4 in total

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