Literature DB >> 18636186

Combinations of apoptosis and cell-cycle control biomarkers predict the outcome of human melanoma.

Franca Piras1, Maria Teresa Perra, Daniela Murtas, Luigi Minerba, Carlo Floris, Cristina Maxia, Paolo Demurtas, Jorge Ugalde, Domenico Ribatti, Paola Sirigu.   

Abstract

The deregulation of apoptosis is characteristic of human carcinogenesis. Survivin, an inhibitor of apoptosis, p53 and p16, two tumour suppressor proteins involved in cell cycle control, play a central role in apoptosis. The aim of this study was to investigate, in primary cutaneous melanoma from 68 patients, the expression of survivin with respect to p53 or p16; the association of these proteins, alone or in combination with clinicopathological features; and, most importantly, to elucidate the role of these markers in predicting survival. The level of survivin expression was significantly higher in the p53 positive group of melanomas compared with the p53 negative one, suggesting a cooperative effect in favouring the progression of melanoma, while no correlation was found between survivin and p16. Moreover, the altered expression of nuclear survivin, p53 and p16 were all associated with poor survival, as demonstrated by univariate analysis. However, these biomarkers have been shown to have superior predictive value when studied in combination (P<0.0001) rather than alone, while the risk of mortality grew progressively with increasing the number of altered biomarkers. These data suggest that the assessment of the combined marker status and number of altered markers in patients with melanoma provides important additional prognostic information that may help in patient selection for adjuvant therapies.

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Year:  2008        PMID: 18636186

Source DB:  PubMed          Journal:  Oncol Rep        ISSN: 1021-335X            Impact factor:   3.906


  6 in total

Review 1.  Construction and analysis of multiparameter prognostic models for melanoma outcome.

Authors:  Bonnie E Gould Rothberg; David L Rimm
Journal:  Methods Mol Biol       Date:  2014

Review 2.  Tissue prognostic biomarkers in primary cutaneous melanoma.

Authors:  Mario Mandalà; Daniela Massi
Journal:  Virchows Arch       Date:  2014-02-01       Impact factor: 4.064

Review 3.  Review of diagnostic, prognostic, and predictive biomarkers in melanoma.

Authors:  Jacob S Ankeny; Brian Labadie; Jason Luke; Eddy Hsueh; Jane Messina; Jonathan S Zager
Journal:  Clin Exp Metastasis       Date:  2018-05-02       Impact factor: 5.150

4.  Nuclear factor-κB expression is predictive of overall survival in patients with cutaneous melanoma.

Authors:  Daniela Murtas; Franca Piras; Luigi Minerba; Jorge Ugalde; Michela Piga; Cristina Maxia; Maria Teresa Perra; Paola Sirigu
Journal:  Oncol Lett       Date:  2010-07-01       Impact factor: 2.967

5.  The Prognostic Value of Cell Cycle Gene Expression Signatures in Muscle Invasive, High-Grade Bladder Cancer.

Authors:  Garrett M Dancik; Dan Theodorescu
Journal:  Bladder Cancer       Date:  2015-04-30

Review 6.  MicroRNAs at the Crossroad of the Dichotomic Pathway Cell Death vs. Stemness in Neural Somatic and Cancer Stem Cells: Implications and Therapeutic Strategies.

Authors:  Andrea Diana; Giuseppe Gaido; Cristina Maxia; Daniela Murtas
Journal:  Int J Mol Sci       Date:  2020-12-17       Impact factor: 5.923

  6 in total

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