Literature DB >> 16467119

Methods for gene expression profiling in clinical trials of adjuvant breast cancer therapy.

Soonmyung Paik1.   

Abstract

Although endocrine therapy is highly effective in the treatment of endocrine receptor-positive breast cancer, chemotherapy has been shown to provide clinical benefit when added to tamoxifen. However, baseline risk after tamoxifen treatment is so low, especially in patients who are axillary node negative, that significant overtreatment will result if chemotherapy is given to every patient. Robust prognostic and predictive markers need to be developed to identify those at high risk of treatment failure. Although comprehensive gene expression profiling methods do offer promise, they require fresh or frozen tumor samples. To take advantage of existing archived tissue blocks with clinical follow-up collected from finished clinical trials, such as National Surgical Adjuvant Breast and Bowel Project trials B-20 and B-14, technologies that allow interrogation of archived blocks for gene expression profiling need to be realized. Recent developments in gene expression profiling technologies are discussed with their implications in clinical management of endocrine receptor-positive breast cancer.

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Year:  2006        PMID: 16467119     DOI: 10.1158/1078-0432.CCR-05-2296

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  9 in total

1.  Gene expression array testing of FFPE archival breast tumor samples: an optimized protocol for WG-DASL sample preparation.

Authors:  C C Ton; N Vartanian; X Chai; M G Lin; X Yuan; K E Malone; C I Li; A Dawson; C Sather; J Delrow; L Hsu; P L Porter
Journal:  Breast Cancer Res Treat       Date:  2010-09-15       Impact factor: 4.872

Review 2.  Pathways to tamoxifen resistance.

Authors:  Rebecca B Riggins; Randy S Schrecengost; Michael S Guerrero; Amy H Bouton
Journal:  Cancer Lett       Date:  2007-05-01       Impact factor: 8.679

3.  Whole-genome gene expression profiling of formalin-fixed, paraffin-embedded tissue samples.

Authors:  Craig April; Brandy Klotzle; Thomas Royce; Eliza Wickham-Garcia; Tanya Boyaniwsky; John Izzo; Donald Cox; Wendell Jones; Renee Rubio; Kristina Holton; Ursula Matulonis; John Quackenbush; Jian-Bing Fan
Journal:  PLoS One       Date:  2009-12-03       Impact factor: 3.240

4.  Molecular risk assessment of BIG 1-98 participants by expression profiling using RNA from archival tissue.

Authors:  Janine Antonov; Vlad Popovici; Mauro Delorenzi; Pratyaksha Wirapati; Anna Baltzer; Andrea Oberli; Beat Thürlimann; Anita Giobbie-Hurder; Giuseppe Viale; Hans Jörg Altermatt; Stefan Aebi; Rolf Jaggi
Journal:  BMC Cancer       Date:  2010-02-09       Impact factor: 4.430

5.  Benefits of biomarker selection and clinico-pathological covariate inclusion in breast cancer prognostic models.

Authors:  Fabio Parisi; Ana M Gonzalez; Yasmine Nadler; Robert L Camp; David L Rimm; Harriet M Kluger; Yuval Kluger
Journal:  Breast Cancer Res       Date:  2010-09-01       Impact factor: 6.466

6.  Enhanced NF kappa B and AP-1 transcriptional activity associated with antiestrogen resistant breast cancer.

Authors:  Yamei Zhou; Christina Yau; Joe W Gray; Karen Chew; Shanaz H Dairkee; Dan H Moore; Urs Eppenberger; Serenella Eppenberger-Castori; Christopher C Benz
Journal:  BMC Cancer       Date:  2007-04-03       Impact factor: 4.430

7.  Use of formalin-fixed paraffin-embedded samples for gene expression studies in breast cancer patients.

Authors:  Valeria Musella; Maurizio Callari; Eleonora Di Buduo; Manuela Scuro; Matteo Dugo; Patrizia Miodini; Giampaolo Bianchini; Biagio Paolini; Luca Gianni; Maria Grazia Daidone; Vera Cappelletti
Journal:  PLoS One       Date:  2015-04-06       Impact factor: 3.240

8.  Characterization of phosphoglycerate kinase-1 expression of stromal cells derived from tumor microenvironment in prostate cancer progression.

Authors:  Jianhua Wang; Gigi Ying; Jingchen Wang; Younghun Jung; Jian Lu; Jiang Zhu; Kenneth J Pienta; Russell S Taichman
Journal:  Cancer Res       Date:  2010-01-12       Impact factor: 13.312

9.  Gene expression variation between distinct areas of breast cancer measured from paraffin-embedded tissue cores.

Authors:  Martina Schobesberger; Anna Baltzer; Andrea Oberli; Andreas Kappeler; Mathias Gugger; Hana Burger; Rolf Jaggi
Journal:  BMC Cancer       Date:  2008-11-25       Impact factor: 4.430

  9 in total

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