Literature DB >> 16493262

Molecular profiling of breast cancer.

Soonmyung Paik1.   

Abstract

PURPOSE OF REVIEW: This review is a comprehensive survey of molecular-profiling literature published since 2004. RECENT
FINDINGS: More microarray-based gene-expression profiles that are prognostic for breast cancer have been published, strengthening the possibility that the microarray gene-expression profile may indeed provide clinically meaningful results. Requirement for snap-frozen tissue, however, will continue to be a limiting factor in clinical application. Results from a multicenter validation study were less spectacular than the original findings. A prognostic model based on classical markers performed well in a comparative study. Further clinical validation, with a large sample size, is needed. A prognostic gene-expression profile of 21 genes, which can be assayed using routinely processed formalin-fixed paraffin-embedded tumor tissue, has been introduced and this assay has also been shown to correlate with degree of benefit from chemotherapy. Two large clinical trials to validate gene-expression-based assays are to be launched in North America (TAILORx) and the European Union (MINDACCT). The usefulness of these genomic tools is still being debated, because clinicopathologic factors also are still important.
SUMMARY: Gene-expression-based prognostic tests are now available as commercial reference laboratory tests. Their successful implementation will depend on the seamless integration with existing clinicopathologic markers.

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Year:  2006        PMID: 16493262     DOI: 10.1097/01.gco.0000192970.52320.29

Source DB:  PubMed          Journal:  Curr Opin Obstet Gynecol        ISSN: 1040-872X            Impact factor:   1.927


  7 in total

Review 1.  Postoperative endocrine therapy for invasive breast cancer.

Authors:  Leisha A Emens; Nancy E Davidson
Journal:  Cancer Treat Res       Date:  2009

2.  Next Generation Sequencing Reveals High Prevalence of BRCA1 and BRCA2 Variants of Unknown Significance in Early-Onset Breast Cancer in African American Women.

Authors:  Luisel Ricks-Santi; J Tyson McDonald; Bert Gold; Michael Dean; Nicole Thompson; Muneer Abbas; Bradford Wilson; Yasmine Kanaan; Tammey J Naab; Georgia Dunston
Journal:  Ethn Dis       Date:  2017-04-20       Impact factor: 1.847

Review 3.  Alzheimer's disease biomarker discovery in symptomatic and asymptomatic patients: experimental approaches and future clinical applications.

Authors:  Lap Ho; Hayley Fivecoat; Jun Wang; Giulio Maria Pasinetti
Journal:  Exp Gerontol       Date:  2009-09-29       Impact factor: 4.032

Review 4.  Targeting signal transduction pathways in metastatic breast cancer: a comprehensive review.

Authors:  Lee S Rosen; Helen Louise Ashurst; Linnea Chap
Journal:  Oncologist       Date:  2010-03-03

5.  Expression profiling with RNA from formalin-fixed, paraffin-embedded material.

Authors:  Andrea Oberli; Vlad Popovici; Mauro Delorenzi; Anna Baltzer; Janine Antonov; Sybille Matthey; Stefan Aebi; Hans Jörg Altermatt; Rolf Jaggi
Journal:  BMC Med Genomics       Date:  2008-04-19       Impact factor: 3.063

6.  A machine learned classifier that uses gene expression data to accurately predict estrogen receptor status.

Authors:  Meysam Bastani; Larissa Vos; Nasimeh Asgarian; Jean Deschenes; Kathryn Graham; John Mackey; Russell Greiner
Journal:  PLoS One       Date:  2013-12-02       Impact factor: 3.240

7.  Low utility of Oncotype DX® in the clinic.

Authors:  Luisel J Ricks-Santi; John Tyson McDonald
Journal:  Cancer Med       Date:  2017-02-01       Impact factor: 4.452

  7 in total

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