Clinical and therapeutic perspectives of gene expression profiling for breast cancer

被引:3
|
作者
Chiuri, V. E. [1 ]
Leo, G. [1 ]
Lorusso, V. [1 ]
机构
[1] Ospedale V Fazzi, Mol Biol Lab, I-73100 Lecce, Italy
关键词
breast cancer; gene expression profiling; predictive; prognostic;
D O I
10.1093/annonc/mdm226
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
The standard method for defining prognosis for patients with breast cancer is an integrated model including clinicopathological features, such as tumour size, histological grade, nodal involvement, hormone receptor status and HER-2 overexpression. Nowadays, two multigene prognostic models can stratify patients in new categories of risk. Notably, clinicopathological prognostic prediction and genomic signatures are discordant in at least 30% of cases. For this reason, two trials are going on, aiming to validate clinical utility of gene profiling. As regards the predictive value of genomic assays, many models have been carried out, demonstrating the capacity to identify with high sensitivity and specificity resistant and non-resistant tumours, differently from the traditional markers. These predictors, however, need to be validated by prospective clinical trials.
引用
收藏
页码:58 / 62
页数:5
相关论文
共 50 条
  • [1] Clinical Application of Gene Expression Profiling in Breast Cancer
    Sparano, Joseph A.
    Fazzari, Melissa
    Kenny, Paraic A.
    SURGICAL ONCOLOGY CLINICS OF NORTH AMERICA, 2010, 19 (03) : 581 - +
  • [2] Gene expression profiling and clinical outcome in breast cancer
    Bertucci, Francois
    Finetti, Pascal
    Cervera, Nathalie
    Maraninchi, Dominique
    Viens, Patrice
    Birnbaum, Daniel
    OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY, 2006, 10 (04) : 429 - 443
  • [3] Gene expression profiling in breast cancer: A clinical perspective
    Arpino, Grazia
    Generali, Daniele
    Sapino, Anna
    Lucia, Del Matro
    Frassoldati, Antonio
    de Laurentis, Michelino
    Paolo, Pronzato
    Mustacchi, Giorgio
    Cazzaniga, Marina
    De Placido, Sabino
    Conte, Pierfranco
    Cappelletti, Mariarosa
    Zanoni, Vanessa
    Antonelli, Andrea
    Martinotti, Mario
    Puglisi, Fabio
    Berruti, Alfredo
    Bottini, Alberto
    Dogliotti, Luigi
    BREAST, 2013, 22 (02): : 109 - 120
  • [4] Methods for gene expression profiling in clinical trials for breast cancer
    S Paik
    Breast Cancer Research, 7
  • [5] Gene expression profiling predicts clinical outcome of breast cancer
    van't Veer, LJ
    Dai, HY
    van de Vijver, MJ
    He, YDD
    Hart, AAM
    Mao, M
    Peterse, HL
    van der Kooy, K
    Marton, MJ
    Witteveen, AT
    Schreiber, GJ
    Kerkhoven, RM
    Roberts, C
    Linsley, PS
    Bernards, R
    Friend, SH
    NATURE, 2002, 415 (6871) : 530 - 536
  • [6] Gene expression profiling for prediction of clinical characteristics of breast cancer
    Huang, E
    West, M
    Nevins, JR
    RECENT PROGRESS IN HORMONE RESEARCH, VOL 58: HUMAN GENOME AND ENDOCRINOLOGY, 2003, 58 : 55 - 73
  • [7] Gene expression profiling predicts clinical outcome of breast cancer
    Laura J. van 't Veer
    Hongyue Dai
    Marc J. van de Vijver
    Yudong D. He
    Augustinus A. M. Hart
    Mao Mao
    Hans L. Peterse
    Karin van der Kooy
    Matthew J. Marton
    Anke T. Witteveen
    George J. Schreiber
    Ron M. Kerkhoven
    Chris Roberts
    Peter S. Linsley
    René Bernards
    Stephen H. Friend
    Nature, 2002, 415 : 530 - 536
  • [8] Methods for gene expression profiling in clinical trials for breast cancer
    Paik, S
    BREAST CANCER RESEARCH, 2005, 7 : S2 - S2
  • [9] Gene expression profiling of breast cancer
    Cheang, Maggie C. U.
    van de Rijn, Matt
    Nielsen, Torsten O.
    ANNUAL REVIEW OF PATHOLOGY-MECHANISMS OF DISEASE, 2008, 3 : 67 - 97
  • [10] Gene expression profiling of breast cancer
    Pusztai, Lajos
    BREAST CANCER RESEARCH, 2009, 11