Literature DB >> 16431104

High-throughput techniques in breast cancer: a clinical perspective.

Enrique Espinosa1, Andrés Redondo, Juan Angel Fresno Vara, Pilar Zamora, Enrique Casado, Paloma Cejas, Manuel González Barón.   

Abstract

High-throughput technologies such as DNA-microarrays, RT-PCR and proteomics can improve the prognostic and predictive information acquired from classical parameters. Unlike information gathered by classical methods, high-throughput technologies can accurately inform clinicians on patient response to adjuvant therapy or those who will resist the effect of that therapy. Studies performed in breast cancer with high-throughput techniques have focused on tumour biology, prognosis, prediction of response to a few agents and, more recently, early diagnosis. However, further refinement is needed before these techniques become part of clinical routine. In the meantime, they will be used in clinical investigation, particularly in the areas of hormonal therapy and adjuvant chemotherapy, where modest improvements in the capacity of prediction can benefit many women. Close cooperation among clinicians, pathologists and basic investigators is essential to take high-throughput techniques to daily practice. New diagnostic tools will be complex but they will provide valuable patient information.

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Year:  2006        PMID: 16431104     DOI: 10.1016/j.ejca.2005.11.021

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  5 in total

Review 1.  Molecular screening for breast cancer prevention, early detection, and treatment planning: combining biomarkers from DNA, RNA, and protein.

Authors:  Katherine Stemke-Hale; Bryan Hennessy; Gordon B Mills; Rahul Mitra
Journal:  Curr Oncol Rep       Date:  2006-11       Impact factor: 5.075

2.  International Agency for Research on Cancer workshop on 'Expression array analyses in breast cancer taxonomy'.

Authors:  Sean V Tavtigian; Marco A Pierotti; Anne-Lise Børresen-Dale
Journal:  Breast Cancer Res       Date:  2006       Impact factor: 6.466

3.  The molecular genetics of breast cancer and targeted therapy.

Authors:  Rachel Suter; James A Marcum
Journal:  Biologics       Date:  2007-09

4.  Discovery of a 29-gene panel in peripheral blood mononuclear cells for the detection of colorectal cancer and adenomas using high throughput real-time PCR.

Authors:  Laura Ciarloni; Sahar Hosseinian; Sylvain Monnier-Benoit; Natsuko Imaizumi; Gian Dorta; Curzio Ruegg
Journal:  PLoS One       Date:  2015-04-13       Impact factor: 3.240

5.  Can clinically relevant prognostic subsets of breast cancer patients with four or more involved axillary lymph nodes be identified through immunohistochemical biomarkers? A tissue microarray feasibility study.

Authors:  Simon J Crabb; Chris D Bajdik; Samuel Leung; Caroline H Speers; Hagen Kennecke; David G Huntsman; Karen A Gelmon
Journal:  Breast Cancer Res       Date:  2008-01-14       Impact factor: 6.466

  5 in total

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