Literature DB >> 15143983

Prognostic value of different factors in breast carcinoma.

Ljiljana Hlupić1, Jasminka Jakić-Razumović, Jadranka Bozikov, Marijana Corić, Borislav Belev, Damir Vrbanec.   

Abstract

INTRODUCTION: The aggressive biological behavior of invasive and metastatic cancer is considered to be the most insidious and life-threatening aspect for breast cancer patients. It is mostly the result of changes in many molecular characteristics of tumor cells, including alterations in the mechanisms controlling cell growth and proliferation. AIM: The aim of this retrospective study was to identify predictors of aggressive biological behavior and metastatic potential in breast carcinoma among a number of intrinsic biomarkers of tumor cells such as steroid receptors and oncogene and tumor suppressor gene products.
METHODS: Routine formalin-fixed, paraffin-embedded tumor samples were used and sections were stained immunohistochemically with the DAKO Strept ABC method to determine the expression of estrogen receptors (ER), progesterone receptors (PgR), HER-2/neu, bcl-2, Ki-67, p53 and nm23 in 192 consecutive breast carcinoma patients. The results of the quantitative immunohistochemical assays were correlated with clinical and histological data such as patient age, overall survival, tumor size, axillary lymph node status, hystological type, tumor grade, Nottingham prognostic index (NPI) and therapeutic regimens.
RESULTS: Univariate analysis revealed that survival was significantly longer for patients with small tumors (P = 0.007), lower tumor grade (P = 0.021), negative axillary lymph nodes (P = 0.002), presence of nm23 protein (P = 0.002), and for patients treated with adjuvant hormonal therapy (P = 0.010). In multivariate analysis the independent factors positively affecting survival were absence of axillary lymph node metastases (P = 0.002), nm23 expression (P = 0.009) and hormonal therapy (P = 0.050). Among patients with positive axillary nodes there was a significantly higher survival rate in patients with nm23 expression compared with nm23-negative patients (P < 0.001).
CONCLUSION: Identification of a subset of node-positive breast cancer patients with a more favorable prognosis according to nm23 expression might be clinically useful.

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Year:  2004        PMID: 15143983     DOI: 10.1177/030089160409000123

Source DB:  PubMed          Journal:  Tumori        ISSN: 0300-8916


  5 in total

Review 1.  The promise of molecular profiling for cancer identification and treatment.

Authors:  Deanna Cross; James K Burmester
Journal:  Clin Med Res       Date:  2004-08

2.  Grading invasive ductal carcinoma of the breast: advantages of using automated proliferation index instead of mitotic count.

Authors:  Ossama Tawfik; Bruce F Kimler; Marilyn Davis; Christopher Stasik; Sue-Min Lai; Matthew S Mayo; Fang Fan; John K Donahue; Ivan Damjanov; Patricia Thomas; Carol Connor; William R Jewell; Holly Smith; Carol J Fabian
Journal:  Virchows Arch       Date:  2007-04-26       Impact factor: 4.064

Review 3.  Ki-67: level of evidence and methodological considerations for its role in the clinical management of breast cancer: analytical and critical review.

Authors:  Elisabeth Luporsi; Fabrice André; Frédérique Spyratos; Pierre-Marie Martin; Jocelyne Jacquemier; Frédérique Penault-Llorca; Nicole Tubiana-Mathieu; Brigitte Sigal-Zafrani; Laurent Arnould; Anne Gompel; Caroline Egele; Bruno Poulet; Krishna B Clough; Hubert Crouet; Alain Fourquet; Jean-Pierre Lefranc; Carole Mathelin; Nicolas Rouyer; Daniel Serin; Marc Spielmann; Margaret Haugh; Marie-Pierre Chenard; Etienne Brain; Patricia de Cremoux; Jean-Pierre Bellocq
Journal:  Breast Cancer Res Treat       Date:  2011-11-03       Impact factor: 4.872

4.  Mutations in p53, p53 protein overexpression and breast cancer survival.

Authors:  Pavel Rossner; Marilie D Gammon; Yu-Jing Zhang; Mary Beth Terry; Hanina Hibshoosh; Lorenzo Memeo; Mahesh Mansukhani; Chang-Min Long; Gail Garbowski; Meenakshi Agrawal; Tara S Kalra; Mia M Gaudet; Susan L Teitelbaum; Alfred I Neugut; Regina M Santella
Journal:  J Cell Mol Med       Date:  2008-10-16       Impact factor: 5.310

5.  Ki-67 as prognostic marker in early breast cancer: a meta-analysis of published studies involving 12,155 patients.

Authors:  E de Azambuja; F Cardoso; G de Castro; M Colozza; M S Mano; V Durbecq; C Sotiriou; D Larsimont; M J Piccart-Gebhart; M Paesmans
Journal:  Br J Cancer       Date:  2007-04-24       Impact factor: 7.640

  5 in total

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