Literature DB >> 20664515

Gene expression profiling in breast cancer.

Kiran Turaga1, Geza Acs, Christine Laronga.   

Abstract

BACKGROUND: Breast cancer is a heterogeneous group of different tumor subtypes that vary in prognosis and response to therapy. This heterogeneity has spawned an era of molecular assays striving to classify and thus predict outcome, thereby guiding the future in targeted personalized treatment strategies.
METHODS: This article provides an overview of the development and application of molecular assays as applied to breast cancer. Differences in the technology used for these tests as well as scientific evidence supporting the validity of the gene expression profile are discussed. Examples of the clinical applicability of these assays are provided, but these represent only a fraction of the potential uses yet to be discovered. A comparison of the three most commonly used assays is included.
RESULTS: Molecular assays have provided new genetic approaches to unravel the complexities of clinical specimens relevant to breast cancer treatment planning and assessment of outcome. In particular, on a molecular level specific to the woman's tumor, these assays allow a prediction of outcome (prognosis) in terms of low and high risk for the future development of distant metastatic disease. Additionally, one assay, Oncotype DX (Genomic Health Inc, Redwood City, CA), allows for the prediction of benefit of the addition of chemotherapy to hormone therapy alone.
CONCLUSIONS: While incorporation of molecular assays into the treatment planning strategy of breast cancer continues to be a work in progress, this approach is evolving quickly due to strong scientific evidence to become standard of practice in the near future. The possibilities of these assays in terms of clinical investigation are limitless, but currently their general applicability is limited to less than half of the population of women presenting with breast cancer.

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Mesh:

Year:  2010        PMID: 20664515     DOI: 10.1177/107327481001700306

Source DB:  PubMed          Journal:  Cancer Control        ISSN: 1073-2748            Impact factor:   3.302


  12 in total

Review 1.  Gene Expression Profiling in Breast Cancer and Its Effect on Therapy Selection in Early-Stage Breast Cancer.

Authors:  E Nilüfer Güler
Journal:  Eur J Breast Health       Date:  2017-10-01

2.  The effect of Oncotype DX recurrence score on treatment recommendations for patients with estrogen receptor-positive early stage breast cancer and correlation with estimation of recurrence risk by breast cancer specialists.

Authors:  Jennifer E Joh; Nicole N Esposito; John V Kiluk; Christine Laronga; M Catherine Lee; Loretta Loftus; Hatem Soliman; Judy C Boughey; Carol Reynolds; Thomas J Lawton; Peter I Acs; Lucio Gordan; Geza Acs
Journal:  Oncologist       Date:  2011-10-20

3.  Estimating the OncotypeDX score: validation of an inexpensive estimation tool.

Authors:  Anne A Eaton; Catherine E Pesce; James O Murphy; Michelle M Stempel; Sujata M Patil; Edi Brogi; Clifford A Hudis; Mahmoud El-Tamer
Journal:  Breast Cancer Res Treat       Date:  2016-12-07       Impact factor: 4.872

4.  Molecular preservation by extraction and fixation, mPREF: a method for small molecule biomarker analysis and histology on exactly the same tissue.

Authors:  Jeffrey R Shuster; Raymond S Lance; Dean A Troyer
Journal:  BMC Clin Pathol       Date:  2011-12-21

5.  Preoperative Systemic Treatment in BRCA-Positive Breast Cancer Patients: Case Report and Review of the Literature.

Authors:  Sarah Schott; Christof Sohn; Andreas Schneeweiss; Joerg Heil
Journal:  Breast Care (Basel)       Date:  2011-10-13       Impact factor: 2.860

Review 6.  Challenges to developing proteomic-based breast cancer diagnostics.

Authors:  Richard R Drake; Lisa H Cazares; E Ellen Jones; Thomas W Fuller; O John Semmes; Christine Laronga
Journal:  OMICS       Date:  2011-02-19

7.  Genetic polymorphisms in RNA binding proteins contribute to breast cancer survival.

Authors:  Rohit Upadhyay; Sandhya Sanduja; Vimala Kaza; Dan A Dixon
Journal:  Int J Cancer       Date:  2012-09-18       Impact factor: 7.396

Review 8.  The impact of the Oncotype Dx breast cancer assay in clinical practice: a systematic review and meta-analysis.

Authors:  Josh J Carlson; Joshua A Roth
Journal:  Breast Cancer Res Treat       Date:  2013-08-24       Impact factor: 4.872

9.  Transcriptional profiling of endocrine cerebro-osteodysplasia using microarray and next-generation sequencing.

Authors:  Piya Lahiry; Leo J Lee; Brendan J Frey; C Anthony Rupar; Victoria M Siu; Benjamin J Blencowe; Robert A Hegele
Journal:  PLoS One       Date:  2011-09-27       Impact factor: 3.240

10.  Comparison of EndoPredict and Oncotype DX test results in hormone receptor positive invasive breast cancer.

Authors:  Zsuzsanna Varga; Peter Sinn; Florian Fritzsche; Arthur von Hochstetter; Aurelia Noske; Peter Schraml; Christoph Tausch; Andreas Trojan; Holger Moch
Journal:  PLoS One       Date:  2013-03-07       Impact factor: 3.240

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