Literature DB >> 19949797

[Beyond staging, typing and grading. New challenges in breast cancer pathology].

H H Kreipe1, P Ahrens, M Christgen, U Lehmann, F Länger.   

Abstract

Tumor biological parameters for the prediction and prognosis of invasive breast cancer are gaining in importance compared to traditional pathological categories. The immunohistochemically determined steroid hormone receptor status is not only the decisive factor influencing whether endocrine therapy (which is indicated in cases of even slight expression) is given or not, but also whether chemotherapy is considered. The Her2 status is of similar importance and needs to be analysed in every case of invasive carcinoma, whereby reproducibility, which requires greater efforts than with steroid hormone receptors, has to be assured. Probably only a small portion of breast cancers will benefit from chemotherapy. Since traditional pathological categories are not sufficient for the identification of this subgroup, there has been an intense search for alternative prognostic parameters, whereby gene expression profiling has emerged as the most promising tool. Despite minimal concordance with regard to single genes, the various profiles available converge in the identification of the proliferative signature as the prognostically most relevant. Whether histopathological grading and immunohistochemical determination of the growth fraction with Ki-67 or genetic profiling will be more reliable in the identification of the aggressive subtype has yet to be clarified in clinical studies which encompass central pathological review.

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Year:  2010        PMID: 19949797     DOI: 10.1007/s00292-009-1244-y

Source DB:  PubMed          Journal:  Pathologe        ISSN: 0172-8113            Impact factor:   1.011


  31 in total

1.  Lost in translation? A systematic database of gene expression in breast cancer.

Authors:  Nasser Srour; Marc André Reymond; Ralf Steinert
Journal:  Pathobiology       Date:  2008-06-10       Impact factor: 4.342

2.  Pathology: are circulating tumor cells predictive of overall survival?

Authors:  Klaus Pantel; Sabine Riethdorf
Journal:  Nat Rev Clin Oncol       Date:  2009-04       Impact factor: 66.675

3.  c-erbB-2 protein overexpression and p53 immunoreaction in primary and recurrent breast cancer tissues.

Authors:  C Shimizu; T Fukutomi; H Tsuda; S Akashi-Tanaka; T Watanabe; T Nanasawa; K Sugihara
Journal:  J Surg Oncol       Date:  2000-01       Impact factor: 3.454

4.  Studies of the HER-2/neu proto-oncogene in human breast and ovarian cancer.

Authors:  D J Slamon; W Godolphin; L A Jones; J A Holt; S G Wong; D E Keith; W J Levin; S G Stuart; J Udove; A Ullrich
Journal:  Science       Date:  1989-05-12       Impact factor: 47.728

5.  Amplification of HER-2/neu and topoisomerase IIalpha in primary and metastatic breast cancer.

Authors:  M Tanner; P Järvinen; J Isola
Journal:  Cancer Res       Date:  2001-07-15       Impact factor: 12.701

6.  Molecular portraits of human breast tumours.

Authors:  C M Perou; T Sørlie; M B Eisen; M van de Rijn; S S Jeffrey; C A Rees; J R Pollack; D T Ross; H Johnsen; L A Akslen; O Fluge; A Pergamenschikov; C Williams; S X Zhu; P E Lønning; A L Børresen-Dale; P O Brown; D Botstein
Journal:  Nature       Date:  2000-08-17       Impact factor: 49.962

7.  American Society of Clinical Oncology/College of American Pathologists guideline recommendations for human epidermal growth factor receptor 2 testing in breast cancer.

Authors:  Antonio C Wolff; M Elizabeth H Hammond; Jared N Schwartz; Karen L Hagerty; D Craig Allred; Richard J Cote; Mitchell Dowsett; Patrick L Fitzgibbons; Wedad M Hanna; Amy Langer; Lisa M McShane; Soonmyung Paik; Mark D Pegram; Edith A Perez; Michael F Press; Anthony Rhodes; Catharine Sturgeon; Sheila E Taube; Raymond Tubbs; Gail H Vance; Marc van de Vijver; Thomas M Wheeler; Daniel F Hayes
Journal:  J Clin Oncol       Date:  2006-12-11       Impact factor: 44.544

Review 8.  Demystifying basal-like breast carcinomas.

Authors:  L Da Silva; C Clarke; S R Lakhani
Journal:  J Clin Pathol       Date:  2007-05-11       Impact factor: 3.411

9.  Histopathologic variables predict Oncotype DX recurrence score.

Authors:  Melina B Flanagan; David J Dabbs; Adam M Brufsky; Sushil Beriwal; Rohit Bhargava
Journal:  Mod Pathol       Date:  2008-10       Impact factor: 7.842

10.  Thresholds for therapies: highlights of the St Gallen International Expert Consensus on the primary therapy of early breast cancer 2009.

Authors:  A Goldhirsch; J N Ingle; R D Gelber; A S Coates; B Thürlimann; H-J Senn
Journal:  Ann Oncol       Date:  2009-06-17       Impact factor: 32.976

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  2 in total

1.  Multigene Assays for Classification, Prognosis, and Prediction in Breast Cancer: a Critical Review on the Background and Clinical Utility.

Authors:  P Sinn; S Aulmann; R Wirtz; S Schott; F Marmé; Z Varga; A Lebeau; H Kreipe; A Schneeweiss
Journal:  Geburtshilfe Frauenheilkd       Date:  2013-09       Impact factor: 2.915

2.  WSG ADAPT - adjuvant dynamic marker-adjusted personalized therapy trial optimizing risk assessment and therapy response prediction in early breast cancer: study protocol for a prospective, multi-center, controlled, non-blinded, randomized, investigator initiated phase II/III trial.

Authors:  Daniel Hofmann; Ulrike Nitz; Oleg Gluz; Ronald E Kates; Timo Schinkoethe; Peter Staib; Nadia Harbeck
Journal:  Trials       Date:  2013-08-19       Impact factor: 2.279

  2 in total

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