Literature DB >> 21511492

Genomic analysis: toward a new approach in breast cancer management.

Sebastiano Cavallaro1, Sabrina Paratore, Femke de Snoo, Edvige Salomone, Loredana Villari, Calogero Buscarino, Francesco Ferraù, Giuseppe Banna, Marco Furci, Angela Strazzanti, Rosario Cunsolo, Salvatore Pezzino, Santi Gangi, Francesco Basile.   

Abstract

Breast cancer is a clinically heterogeneous and complex disease that can affect differently individuals with seemingly identical clinicopathologic parameters. This heterogeneity is strictly linked to individuals and tumors genetic variability. Currently, the development of high-throughput technologies are proving novel tools to tackle this complexity. By DNA microarray technology, genomic analysis has been used successfully for breast carcinomas stratification into molecular subgroups with relevant implications for clinical outcomes, and detection of prognostic/treatment predictive signatures. Indeed, DNA microarray has rapidly improved becoming a powerful diagnostic tool. Information derived from these assays allows clinicians to estimate the risk for distant recurrence, and predict accurately which patients are likely to benefit from adjuvant therapy. This review will describe the state-of-the-art of genomic analysis in breast cancer and introduce the clinicians to a genomic approach to cancer management, illustrating how it can help in defying a better diagnosis, prognosis and therapeutic treatment. Copyright Â
© 2011 Elsevier Ireland Ltd. All rights reserved.

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Year:  2011        PMID: 21511492     DOI: 10.1016/j.critrevonc.2011.03.006

Source DB:  PubMed          Journal:  Crit Rev Oncol Hematol        ISSN: 1040-8428            Impact factor:   6.312


  4 in total

Review 1.  Genomic approaches in breast cancer research.

Authors:  Henry J Donahue; Damian C Genetos
Journal:  Brief Funct Genomics       Date:  2013-06-20       Impact factor: 4.241

2.  Evaluation of miRNA-binding-site SNPs of MRE11A, NBS1, RAD51 and RAD52 involved in HRR pathway genes and risk of breast cancer in China.

Authors:  Zhenzhen Wu; Peng Wang; Chunhua Song; Kaijuan Wang; Rui Yan; Jingruo Li; Liping Dai
Journal:  Mol Genet Genomics       Date:  2015-01-09       Impact factor: 3.291

3.  Selection and Prioritization of Candidate Drug Targets for Amyotrophic Lateral Sclerosis Through a Meta-Analysis Approach.

Authors:  Giovanna Morello; Antonio Gianmaria Spampinato; Francesca Luisa Conforti; Velia D'Agata; Sebastiano Cavallaro
Journal:  J Mol Neurosci       Date:  2017-02-24       Impact factor: 3.444

4.  The Promise of Digital Biopsy for the Prediction of Tumor Molecular Features and Clinical Outcomes Associated With Immunotherapy.

Authors:  Giuseppe Luigi Banna; Timothée Olivier; Francesco Rundo; Umberto Malapelle; Filippo Fraggetta; Massimo Libra; Alfredo Addeo
Journal:  Front Med (Lausanne)       Date:  2019-07-31
  4 in total

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