Literature DB >> 18448548

Current status of prognostic profiling in breast cancer.

Lajos Pusztai1.   

Abstract

Breast cancer is a clinically heterogeneous disease that can affect individuals with seemingly identical clinicopathologic parameters differently. This clinical heterogeneity is driven to a large extent by abnormal gene expression within tumors. Investigators now have the ability to identify the gene-expression fingerprint of an individual's tumor. This information may be used to rationally design therapeutic targets in the future, and also to predict the clinical course of an individual's disease, including response to a specific treatment. Genetic profiles of tumors are now being correlated with clinical outcome, and several prognostic and predictive indicators have emerged based on this research. There are at least four commercially available predictive or prognostic tests, and several more are looming on the horizon. The data gathered from these tests augment standard diagnostic and prognostic information obtained from traditional clinical pathological variables. The advent of gene-profiling technologies started to change the conduct of clinical trials. In the not too distant future, prospective tissue collection for molecular analysis may become routine in order to stratify patients for treatment arms and to optimize treatment strategies based on molecular features of the cancer. Coordinated efforts among oncologists, pathologists, surgeons, laboratory scientists, statisticians, and regulators will be essential in the quest to incorporate genetic profiling and molecular hypotheses into clinical trial planning and conduct.

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Year:  2008        PMID: 18448548     DOI: 10.1634/theoncologist.2007-0216

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


  10 in total

1.  Gene profiling and circulating tumor cells as biomarker to prognostic of patients with locoregional breast cancer.

Authors:  Renata K Kuniyoshi; Flávia de Sousa Gehrke; Beatriz C A Alves; Viviane Vilas-Bôas; Anna E Coló; Naiara Sousa; João Nunes; Fernando L A Fonseca; Auro Del Giglio
Journal:  Tumour Biol       Date:  2015-05-16

2.  High IGF-IR activity in triple-negative breast cancer cell lines and tumorgrafts correlates with sensitivity to anti-IGF-IR therapy.

Authors:  Beate C Litzenburger; Chad J Creighton; Anna Tsimelzon; Bonita T Chan; Susan G Hilsenbeck; Tao Wang; Joan M Carboni; Marco M Gottardis; Fei Huang; Jenny C Chang; Michael T Lewis; Mothaffar F Rimawi; Adrian V Lee
Journal:  Clin Cancer Res       Date:  2010-12-22       Impact factor: 12.531

3.  Gemcitabine and carboplatin for pretreated metastatic breast cancer: the predictive value of immunohistochemically defined subtypes.

Authors:  Fabrizio Nelli; Luca Moscetti; Guido Natoli; Annalisa Massari; Giuliana D'Auria; Mario Chilelli; Maria Agnese Fabbri; Patrizia Frittelli; Enzo Maria Ruggeri
Journal:  Int J Clin Oncol       Date:  2012-02-17       Impact factor: 3.402

4.  Identification of targeted analyte clusters for studies of schizophrenia.

Authors:  Tammy M K Cheng; Yu-En Lu; Paul C Guest; Hassan Rahmoune; Laura W Harris; Lan Wang; Dan Ma; Victoria Stelzhammer; Yagnesh Umrania; Matt T Wayland; Pietro Lió; Sabine Bahn
Journal:  Mol Cell Proteomics       Date:  2009-12-10       Impact factor: 5.911

5.  Personalized medicine in advanced urothelial cancer: when to treat, how to treat and who to treat.

Authors:  Behfar Ehdaie; Steven C Smith; Dan Theodorescu
Journal:  Can Urol Assoc J       Date:  2009-12       Impact factor: 1.862

6.  NUCKS overexpression in breast cancer.

Authors:  Yiannis Drosos; Mirsini Kouloukoussa; Anne Carine Østvold; Kirsten Grundt; Nikos Goutas; Dimitrios Vlachodimitropoulos; Sophia Havaki; Panagoula Kollia; Christos Kittas; Evangelos Marinos; Vassiliki Aleporou-Marinou
Journal:  Cancer Cell Int       Date:  2009-08-10       Impact factor: 5.722

7.  Characterization of PAR1 and FGFR1 expression in invasive breast carcinomas: Prognostic significance.

Authors:  Marta Tiburcio; Sandra M A Costa; Maria DE Fatima Duarte; Fernando C Schmitt; Adhemar Longatto Filho
Journal:  Oncol Lett       Date:  2012-07-17       Impact factor: 2.967

Review 8.  Unraveling breast cancer heterogeneity through transcriptomic and epigenomic analysis.

Authors:  Frank A Orlando; Kevin D Brown
Journal:  Ann Surg Oncol       Date:  2009-05-19       Impact factor: 5.344

9.  Postal survey of physicians and laboratories: practices and perceptions of molecular oncology testing.

Authors:  Fiona A Miller; Paul Krueger; Robert J Christensen; Catherine Ahern; Ronald F Carter; Suzanne Kamel-Reid
Journal:  BMC Health Serv Res       Date:  2009-07-30       Impact factor: 2.655

10.  Next-generation sequencing.

Authors:  Jorge S Reis-Filho
Journal:  Breast Cancer Res       Date:  2009-12-18       Impact factor: 6.466

  10 in total

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