Literature DB >> 17352244

Prognostic factors in Hungarian breast cancer patients.

Edit Nádasi1, Béla Anga, János Sándor, Judit Megyesi, Dezso Kelemen, Marcella Mottolese, Pier Giorgio Natali, Géza Hegedus, István Arany, Istvan Ember.   

Abstract

BACKGROUND: Breast cancer is the most common cancer among women, with variable outcomes, justifying a continuous search for new parameters to predict accurate prognosis and indicate suitable adjuvant therapy for patients.
MATERIALS AND METHODS: Fourty-four stage I-III breast cancer specimens were investigated immunohistochemically for the expression of cyclooxygenase-2 enzyme (COX-2), hormone receptors, tumor suppressor gene p53, oncogene HER2 and proliferation marker Ki-67. Additionally, twelve specimens were also investigated for the presence of the phosphorylated extracellular signal-regulated kinase (pERK).
RESULTS: It was demonstrated that expressions of biological markers were related to each other (ER to p53 and Ki-67, COX-2 to ER, PgR, Ki-67 and p53, Ki-67 to p53 and PgR, p53 to PgR).
CONCLUSION: Our data indicate that concomitant immunohistochemical evaluation of cyclooxygenase-2, hormone receptors, p53 and Ki-67 may be of clinical value in determining an accurate prognosis.

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Year:  2007        PMID: 17352244

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  1 in total

1.  Unraveling heterogeneous susceptibility and the evolution of breast cancer using a systems biology approach.

Authors:  Andrés Castellanos-Martín; Sonia Castillo-Lluva; María Del Mar Sáez-Freire; Adrián Blanco-Gómez; Lourdes Hontecillas-Prieto; Carmen Patino-Alonso; Purificación Galindo-Villardon; Luis Pérez Del Villar; Carmen Martín-Seisdedos; María Isidoro-Garcia; María Del Mar Abad-Hernández; Juan Jesús Cruz-Hernández; César Augusto Rodríguez-Sánchez; Rogelio González-Sarmiento; Diego Alonso-López; Javier De Las Rivas; Begoña García-Cenador; Javier García-Criado; Do Yup Lee; Benjamin Bowen; Wolfgang Reindl; Trent Northen; Jian-Hua Mao; Jesús Pérez-Losada
Journal:  Genome Biol       Date:  2015-02-21       Impact factor: 13.583

  1 in total

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