Literature DB >> 11972862

Predictive and prognostic markers for invasive breast cancer.

Ichiro Mori1, Qifeng Yang, Kennichi Kakudo.   

Abstract

Breast cancer is one of the most serious carcinomas among women worldwide, yet there are now encouraging signs that improvements in the mortality rate may be possible. The use of hormone therapy and chemotherapy has been widely accepted as treatment for breast cancer. Predictive factors can be used to predict response or lack of response to a particular therapy, and prognostic factors can be useful in making decisions about which patients should receive adjuvant therapy. Histopathology remains the universal basis of diagnosis, with the identification of new surrogate markers for potential new treatments. These are aimed at blocking tumor cell proliferation, neutralizing growth factors, stimulating apoptosis and blocking metastasis, and represent an integral part of new approaches for improving clinical management of patients with breast cancer. We review the standard predictive and prognostic factors that are routinely available today, and also describe some of the new, potential markers that are currently under investigation.

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Year:  2002        PMID: 11972862     DOI: 10.1046/j.1440-1827.2002.01335.x

Source DB:  PubMed          Journal:  Pathol Int        ISSN: 1320-5463            Impact factor:   2.534


  8 in total

1.  Relevance of cellular and serum carbonic anhydrase IX in primary breast cancer.

Authors:  Dina Schütze; Karin Milde-Langosch; Isabell Witzel; Achim Rody; Thomas Karn; Marcus Schmidt; Matthias Choschzick; Fritz Jänicke; Volkmar Müller
Journal:  J Cancer Res Clin Oncol       Date:  2013-01-29       Impact factor: 4.553

2.  Cytoplasmic overexpression of ALCAM is prognostic of disease progression in breast cancer.

Authors:  M Burkhardt; E Mayordomo; K-J Winzer; F Fritzsche; T Gansukh; S Pahl; W Weichert; C Denkert; H Guski; M Dietel; G Kristiansen
Journal:  J Clin Pathol       Date:  2006-02-16       Impact factor: 3.411

3.  Morphologic complexity of epithelial architecture for predicting invasive breast cancer survival.

Authors:  Mauro Tambasco; Misha Eliasziw; Anthony M Magliocco
Journal:  J Transl Med       Date:  2010-12-31       Impact factor: 5.531

4.  Relationship between the expression of cyclooxygenase 2 and MDR1/P-glycoprotein in invasive breast cancers and their prognostic significance.

Authors:  Pawel Surowiak; Verena Materna; Rafal Matkowski; Katarzyna Szczuraszek; Jan Kornafel; Andrzej Wojnar; Marek Pudelko; Manfred Dietel; Carsten Denkert; Maciej Zabel; Hermann Lage
Journal:  Breast Cancer Res       Date:  2005-08-25       Impact factor: 6.466

5.  Multivariate analysis of oestrogen receptor alpha, pS2, metallothionein and CD24 expression in invasive breast cancers.

Authors:  P Surowiak; V Materna; B Györffy; R Matkowski; A Wojnar; A Maciejczyk; P Paluchowski; P Dziegiel; M Pudełko; J Kornafel; M Dietel; G Kristiansen; M Zabel; H Lage
Journal:  Br J Cancer       Date:  2006-08-07       Impact factor: 7.640

6.  Identification of a Transcription Factor Signature That Can Predict Breast Cancer Survival.

Authors:  Chunni Fan; Jianshi Du; Ning Liu
Journal:  Comput Math Methods Med       Date:  2021-02-19       Impact factor: 2.238

7.  Carbonic anhydrase-9 expression levels and prognosis in human breast cancer: association with treatment outcome.

Authors:  P N Span; J Bussink; P Manders; L V A M Beex; C G J Sweep
Journal:  Br J Cancer       Date:  2003-07-21       Impact factor: 7.640

8.  DNA replication licensing and cell cycle kinetics of normal and neoplastic breast.

Authors:  A Shetty; M Loddo; T Fanshawe; A T Prevost; R Sainsbury; G H Williams; K Stoeber
Journal:  Br J Cancer       Date:  2005-11-28       Impact factor: 7.640

  8 in total

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