Literature DB >> 11110052

Prognostic significance of biologic markers in node-negative breast cancer patients: a prospective study.

A Volpi1, F De Paola, O Nanni, A M Granato, P Bajorko, A Becciolini, E Scarpi, A Riccobon, M Balzi, D Amadori.   

Abstract

It is generally thought that future advances in the treatment and cure of breast cancer patients will be made possible through a deeper understanding of tumor biology and an improved capability to define the prognosis of each single patient. This will lead to the formulation of new, more selective, and patient-tailored therapies. It is therefore important, when studying potential prognostic factors, to follow methodologic requirements and guidelines which involve the carrying out of prospective studies as confirmatory steps. Repeatedly or recently investigated prognostic markers (tumor size, menopausal status, ER, PgR, 3H thymidine labeling index, c-erbB-2 and p27 expression) were evaluated on a series of 286 prospectively recruited node negative breast cancer patients who underwent loco-regional treatment alone and were closely followed. The individual and relative prognostic contribution of each variable with respect to other factors, as well as their ability to identify node negative patients at risk, were assessed by univariate and multivariate analysis. At a five-year follow-up, only tumor size (p = 0.021) and TLI (p = 0.016) individually proved to be significant prognostic indicators of relapse-free survival. Conversely, p27 expression was not related to RFS and c-erbB-2 expression appeared to have only a short-term effect on patient prognosis. TLI and tumor size, tested in multivariate analysis along with ER and menopausal status, maintained their independent prognostic relevance. The study, performed on a large series of node-negative patients given loco-regional treatment alone, for the first time prospectively recruited, showed the prognostic relevance of TLI and its independence from other clinico-pathologic and biologic factors over a five-year period.

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Year:  2000        PMID: 11110052     DOI: 10.1023/a:1006464426977

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  8 in total

1.  Biofunctional characteristics of in situ and invasive breast carcinoma.

Authors:  Sara Bravaccini; Anna Maria Granato; Laura Medri; Flavia Foca; Fabio Falcini; Wainer Zoli; Monica Ricci; Giuseppe Lanzanova; Nestory Masalu; Luigi Serra; Federico Buggi; Secondo Folli; Rosella Silvestrini; Dino Amadori
Journal:  Cell Oncol (Dordr)       Date:  2013-06-27       Impact factor: 6.730

2.  Correlation between mammographic and sonographic findings and prognostic factors in patients with node-negative invasive breast cancer.

Authors:  H J Shin; H H Kim; M O Huh; M J Kim; A Yi; H Kim; B H Son; S H Ahn
Journal:  Br J Radiol       Date:  2010-08-03       Impact factor: 3.039

3.  Can we select which patients with small breast cancers should receive adjuvant chemotherapy?

Authors:  William C Wood; Marge Anderson; Robert H Lyles; Toncred M Styblo; Douglas Murray; Charles Staley; Lily Yang; Grant Carlson
Journal:  Ann Surg       Date:  2002-06       Impact factor: 12.969

Review 4.  Biomolecular features of clinical relevance in breast cancer.

Authors:  Maria Grazia Daidone; Angelo Paradiso; Massimo Gion; Nadia Harbeck; Fred Sweep; Manfred Schmitt
Journal:  Eur J Nucl Med Mol Imaging       Date:  2004-04-17       Impact factor: 9.236

Review 5.  Prognostic value of proliferation in invasive breast cancer: a review.

Authors:  P J van Diest; E van der Wall; J P A Baak
Journal:  J Clin Pathol       Date:  2004-07       Impact factor: 3.411

6.  Identifying accessible prognostic factors for breast cancer relapse: a case-study on 405 histologically confirmed node-negative patients.

Authors:  Ines Zemni; Montassar Ghalleb; Ichraf Jbir; Maher Slimane; Jamel Ben Hassouna; Tarek Ben Dhieb; Hatem Bouzaiene; Khaled Rahal
Journal:  World J Surg Oncol       Date:  2017-11-23       Impact factor: 2.754

7.  Is the thymidine labeling index a good prognostic marker in breast cancer?

Authors:  Ebru Sen-Oran; Vahit Ozmen; Ayhan Bilir; Neslihan Cabioglu; Mahmut Muslumanoglu; Abdullah Igci; Nese Guney; Mustafa Kecer
Journal:  World J Surg Oncol       Date:  2007-08-19       Impact factor: 2.754

Review 8.  p27(Kip1) as a prognostic factor in breast cancer: a systematic review and meta-analysis.

Authors:  Xiaoxiang Guan; Yucai Wang; Ruilian Xie; Longbang Chen; Jianling Bai; Jia Lu; Macus Tien Kuo
Journal:  J Cell Mol Med       Date:  2010-02-27       Impact factor: 5.310

  8 in total

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