Literature DB >> 18080616

Use of gene-expression profiling to recommend adjuvant chemotherapy for breast cancer.

N Lynn Henry1, Daniel F Hayes.   

Abstract

One of the primary challenges in the treatment of patients with early-stage breast cancer is determining which patients will benefit from adjuvant chemotherapy. Traditionally, treatment decisions have been made based on a combination of tumor characteristics and patient and physician perspectives regarding risks and benefits. Recent technologic advances, including the development of gene-expression arrays, have led to the identification of molecular signatures that provide prognostic information in addition to the basic clinicopathologic features of individual tumors. While these new methods allow for more refined determination of prognosis for an individual patient, few data are available to support use of these new technologies in the clinic for treatment decision-making. At present, data from a single retrospective study are available to support the use of one assay, the 21-gene recurrence score, for decision-making regarding adjuvant chemotherapy. Large, multinational clinical trials are currently ongoing to evaluate the use of two of the multiparameter assays, although it will be many years before oncologists can apply the results of these trials in the clinic.

Entities:  

Mesh:

Year:  2007        PMID: 18080616

Source DB:  PubMed          Journal:  Oncology (Williston Park)        ISSN: 0890-9091            Impact factor:   2.990


  3 in total

1.  Role of SP transcription factors in hormone-dependent modulation of genes in MCF-7 breast cancer cells: microarray and RNA interference studies.

Authors:  Fei Wu; Ivan Ivanov; Rui Xu; Stephen Safe
Journal:  J Mol Endocrinol       Date:  2008-10-24       Impact factor: 5.098

Review 2.  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

3.  Immune profile and mitotic index of metastatic melanoma lesions enhance clinical staging in predicting patient survival.

Authors:  Dusan Bogunovic; David W O'Neill; Ilana Belitskaya-Levy; Vladimir Vacic; Yi-Lo Yu; Sylvia Adams; Farbod Darvishian; Russell Berman; Richard Shapiro; Anna C Pavlick; Stefano Lonardi; Jiri Zavadil; Iman Osman; Nina Bhardwaj
Journal:  Proc Natl Acad Sci U S A       Date:  2009-11-13       Impact factor: 11.205

  3 in total

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