Literature DB >> 11809257

Identification of high risk breast-cancer patients by gene expression profiling.

André Ahr, Thomas Karn, Christine Solbach, Tanja Seiter, Klaus Strebhardt, Uwe Holtrich, Manfred Kaufmann.   

Abstract

We previously used DNA array analyses in the molecular profiling of breast cancers. By cluster analysis of 55 patients, we identified a subpopulation of breast cancers-designated class A-that contained a high number of nodal-positive tumours and that had frequently developed distant metastases at the time of diagnosis. We have now analysed follow-up data from these patients. We found that, despite a median of only 23.5 months of follow-up, 11 of 22 patients in class A progressed to metastatic disease, and three of five patients classified as having a nodal status of N0 in this subpopulation developed distant metastases. Our analysis identifies breast-cancer patients with a high risk of disease recurrence, and could act as a first step towards improved patient-adapted therapy.

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 11809257     DOI: 10.1016/S0140-6736(02)07337-3

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


  38 in total

Review 1.  Molecular biology of breast cancer.

Authors:  Miguel Martín
Journal:  Clin Transl Oncol       Date:  2006-01       Impact factor: 3.405

2.  Different gene expression patterns in invasive lobular and ductal carcinomas of the breast.

Authors:  Hongjuan Zhao; Anita Langerød; Youngran Ji; Kent W Nowels; Jahn M Nesland; Rob Tibshirani; Ida K Bukholm; Rolf Kåresen; David Botstein; Anne-Lise Børresen-Dale; Stefanie S Jeffrey
Journal:  Mol Biol Cell       Date:  2004-03-19       Impact factor: 4.138

Review 3.  Gene expression profiling of breast cancer in ethnic populations: an aid to gene discovery for the benefit of all.

Authors:  Steve Goodison
Journal:  Breast J       Date:  2005 Mar-Apr       Impact factor: 2.431

Review 4.  Molecular profiling in breast cancer.

Authors:  Shannon R Morris; Lisa A Carey
Journal:  Rev Endocr Metab Disord       Date:  2007-09       Impact factor: 6.514

5.  Novel patterns of genome rearrangement and their association with survival in breast cancer.

Authors:  James Hicks; Alexander Krasnitz; B Lakshmi; Nicholas E Navin; Michael Riggs; Evan Leibu; Diane Esposito; Joan Alexander; Jen Troge; Vladimir Grubor; Seungtai Yoon; Michael Wigler; Kenny Ye; Anne-Lise Børresen-Dale; Bjørn Naume; Ellen Schlicting; Larry Norton; Torsten Hägerström; Lambert Skoog; Gert Auer; Susanne Månér; Pär Lundin; Anders Zetterberg
Journal:  Genome Res       Date:  2006-12       Impact factor: 9.043

Review 6.  High-throughput gene expression and mutation profiling: current methods and future perspectives.

Authors:  Thomas Karn
Journal:  Breast Care (Basel)       Date:  2013-12       Impact factor: 2.860

7.  Prognostic relevance of glucosylceramide synthase (GCS) expression in breast cancer.

Authors:  Eugen Ruckhäberle; Thomas Karn; Lars Hanker; Regine Gätje; Dirk Metzler; Uwe Holtrich; Manfred Kaufmann; Achim Rody
Journal:  J Cancer Res Clin Oncol       Date:  2008-06-17       Impact factor: 4.553

Review 8.  Gene expression profile assays as predictors of distant recurrence-free survival in early-stage breast cancer.

Authors:  Nicole M Kuderer; Gary H Lyman
Journal:  Cancer Invest       Date:  2009-11       Impact factor: 2.176

Review 9.  Expression profiling of human breast cancers and gene regulation by progesterone receptors.

Authors:  Britta M Jacobsen; Jennifer K Richer; Carol A Sartorius; Kathryn B Horwitz
Journal:  J Mammary Gland Biol Neoplasia       Date:  2003-07       Impact factor: 2.673

Review 10.  Recent progress in predictive biomarkers for metastatic recurrence of human hepatocellular carcinoma: a review of the literature.

Authors:  Lun-Xiu Qin; Zhao-You Tang
Journal:  J Cancer Res Clin Oncol       Date:  2004-06-17       Impact factor: 4.553

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.