Literature DB >> 16272457

Gene-expression profiling and the future of adjuvant therapy.

Marc van de Vijver1.   

Abstract

Gene-expression profiling can help distinguish between patients at high risk and those at low risk for developing distant metastases, and so identify patients for adjuvant therapy. For several years, the Netherlands Cancer Institute has been working on gene-expression profiling of breast cancer using a microarray platform containing 25,000 genes. Using supervised classification, a prognostic classifier consisting of 70 genes could be identified. In addition to providing prognostic information, gene profiling should also enable us to detect patients who are likely to respond to particular adjuvant interventions. Well-known predictors for response to systemic therapy include estrogen receptor status HER-2 status, c-kit mutation, and epidermal growth factor receptor mutation. Because of the long periods required for predicting responsiveness in the adjuvant setting, neoadjuvant trials promise far quicker results. Several neoadjuvant studies are under way or planned to investigate gene-expression profiling as a means of predicting the therapeutic response to docetaxel (Taxotere; Aventis Pharmaceuticals Inc., Bridgewater, NJ, http://www.aventispharma-us.com), paclitaxel (Taxol; Bristol-Myers Squibb, Princeton, NJ, http://www.bms.com), cyclophosphamide, and doxorubicin (Adriamycin; Bedford Laboratories, Bedford, OH, http://www.bedfordlabs.com) in breast cancer patients. It is expected that in the coming years an increasing number of novel prognostic and predictive tests will help in guiding the adjuvant systemic treatment of breast cancer and other malignancies.

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Mesh:

Year:  2005        PMID: 16272457     DOI: 10.1634/theoncologist.10-90002-30

Source DB:  PubMed          Journal:  Oncologist        ISSN: 1083-7159


  7 in total

1.  Core epithelial-to-mesenchymal transition interactome gene-expression signature is associated with claudin-low and metaplastic breast cancer subtypes.

Authors:  Joseph H Taube; Jason I Herschkowitz; Kakajan Komurov; Alicia Y Zhou; Supriya Gupta; Jing Yang; Kimberly Hartwell; Tamer T Onder; Piyush B Gupta; Kurt W Evans; Brett G Hollier; Prahlad T Ram; Eric S Lander; Jeffrey M Rosen; Robert A Weinberg; Sendurai A Mani
Journal:  Proc Natl Acad Sci U S A       Date:  2010-08-16       Impact factor: 11.205

Review 2.  Cancer and stem cell signaling: a guide to preventive and therapeutic strategies for cancer stem cells.

Authors:  S Sell
Journal:  Stem Cell Rev       Date:  2007-01       Impact factor: 5.739

3.  Bisected, complex N-glycans and galectins in mouse mammary tumor progression and human breast cancer.

Authors:  Hazuki E Miwa; Wade R Koba; Eugene J Fine; Orsi Giricz; Paraic A Kenny; Pamela Stanley
Journal:  Glycobiology       Date:  2013-09-13       Impact factor: 4.313

4.  Apoptosis - associated genes and their role in predicting responses to neoadjuvant breast cancer treatment.

Authors:  Daniel Tvrdík; Helena Skálová; Pavel Dundr; Ctibor Povýšil; Zuzana Velenská; Adéla Berková; Libor Staněk; Luboš Petruželka
Journal:  Med Sci Monit       Date:  2012-01

5.  Calreticulin mediates an invasive breast cancer phenotype through the transcriptional dysregulation of p53 and MAPK pathways.

Authors:  Mohammadreza Zamanian; Lama Abdel Qader Hamadneh; Abhi Veerakumarasivam; Sabariah Abdul Rahman; Shamarina Shohaimi; Rozita Rosli
Journal:  Cancer Cell Int       Date:  2016-07-13       Impact factor: 5.722

Review 6.  The patient experience.

Authors:  Nadia Harbeck; Renate Haidinger
Journal:  Breast Cancer Res Treat       Date:  2007-10-03       Impact factor: 4.872

7.  Ets2 in tumor fibroblasts promotes angiogenesis in breast cancer.

Authors:  Julie A Wallace; Fu Li; Subhasree Balakrishnan; Carmen Z Cantemir-Stone; Thierry Pecot; Chelsea Martin; Raleigh D Kladney; Sudarshana M Sharma; Anthony J Trimboli; Soledad A Fernandez; Lianbo Yu; Thomas J Rosol; Paul C Stromberg; Robert Lesurf; Michael Hallett; Morag Park; Gustavo Leone; Michael C Ostrowski
Journal:  PLoS One       Date:  2013-08-16       Impact factor: 3.240

  7 in total

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