Literature DB >> 17906450

Gene expression profiling in breast cancer.

Shannon R Morris1, Lisa A Carey.   

Abstract

PURPOSE OF REVIEW: Gene expression profiling has highlighted the biologic heterogeneity of breast cancer and has begun to influence the ability of the medical community to individualize patient therapy. The review is intended to highlight the most important advances in the field over recent years with an emphasis on those most relevant to the practicing oncologist. RECENT
FINDINGS: Two prognostic profiling assays, the Mammaprint and Oncotype Dx, are in phase III clinical trials designed to evaluate their contribution to therapeutic decision making. Predictive profiles for both chemotherapy and targeted therapy are also in development. In addition, application of genetic profiling techniques to a variety of tumor types is starting to identify those processes, like proliferation, that are integral to carcinogenesis as a whole.
SUMMARY: The biologic heterogeneity of breast cancer has become clearer through genome-wide profiling technologies. Validation of the clinical utility of prognostic profiles may enable oncologists to better identify those patients whose prognosis justifies more intensive therapy, while predictive profiles may soon be able to determine which type of chemotherapy a patient should receive. In addition, profiling is starting to identify new therapeutic targets which will point the field of breast cancer oncology in new directions.

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Year:  2007        PMID: 17906450     DOI: 10.1097/CCO.0b013e3282f0ada3

Source DB:  PubMed          Journal:  Curr Opin Oncol        ISSN: 1040-8746            Impact factor:   3.645


  19 in total

1.  Surgery confounds biology: the predictive value of stage-, grade- and prostate-specific antigen for recurrence after radical prostatectomy as a function of surgeon experience.

Authors:  Andrew J Vickers; Caroline J Savage; Fernando J Bianco; Eric A Klein; Michael W Kattan; Fernando P Secin; Bertrand D Guilloneau; Peter T Scardino
Journal:  Int J Cancer       Date:  2010-06-09       Impact factor: 7.396

2.  Can dynamic contrast-enhanced MRI (DCE-MRI) predict tumor recurrence and lymph node status in patients with breast cancer?

Authors:  S Bahri; J-H Chen; H J Yu; A Kuzucan; O Nalcioglu; M-Y Su
Journal:  Ann Oncol       Date:  2008-03-05       Impact factor: 32.976

3.  Approaches to the discovery of pharmacogenomic markers in oncology: 2000-2010-2020.

Authors:  R Stephanie Huang; M Eileen Dolan
Journal:  Pharmacogenomics       Date:  2010-04       Impact factor: 2.533

Review 4.  Effect of BRCA2 mutation on familial breast cancer survival: A systematic review and meta-analysis.

Authors:  Jun Shao; Jie Yang; Jun-Nai Wang; Long Qiao; Wei Fan; Qing-Lei Gao; Yao-Jun Feng
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2015-10-22

5.  Improving communication of breast cancer recurrence risk.

Authors:  Noel T Brewer; Alice R Richman; Jessica T DeFrank; Valerie F Reyna; Lisa A Carey
Journal:  Breast Cancer Res Treat       Date:  2011-10-01       Impact factor: 4.872

6.  Understanding how breast cancer patients use risk information from genomic tests.

Authors:  Jessica T DeFrank; Lisa A Carey; Noel T Brewer
Journal:  J Behav Med       Date:  2012-08-10

7.  The transcription factor REST is lost in aggressive breast cancer.

Authors:  Matthew P Wagoner; Kearney T W Gunsalus; Barry Schoenike; Andrea L Richardson; Andreas Friedl; Avtar Roopra
Journal:  PLoS Genet       Date:  2010-06-10       Impact factor: 5.917

Review 8.  Staging of breast cancer in the neoadjuvant setting.

Authors:  Jacqueline S Jeruss; Elizabeth A Mittendorf; Susan L Tucker; Ana M Gonzalez-Angulo; Thomas A Buchholz; Aysegul A Sahin; Janice N Cormier; Aman U Buzdar; Gabriel N Hortobagyi; Kelly K Hunt
Journal:  Cancer Res       Date:  2008-08-15       Impact factor: 12.701

9.  Elastographic features of triple negative breast cancers.

Authors:  Martina Džoić Dominković; Gordana Ivanac; Tomislav Kelava; Boris Brkljačić
Journal:  Eur Radiol       Date:  2015-08-01       Impact factor: 5.315

Review 10.  "New" molecular taxonomy in breast cancer.

Authors:  Marta Hergueta-Redondo; José Palacios; Amparo Cano; Gema Moreno-Bueno
Journal:  Clin Transl Oncol       Date:  2008-12       Impact factor: 3.405

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