Literature DB >> 20587405

Prediction of benefit from adjuvant treatment in patients with breast cancer.

Jennifer Eng-Wong1, Claudine Isaacs.   

Abstract

With the increasingly early diagnosis of breast cancer and the advent of breast tumor subtyping, the need for determining which patients need adjuvant therapy has become more pressing and more complex. While clinical and pathologic features to predict benefit are valuable, the use of molecular techniques to better determine which tumors will benefit from chemotherapy is expected to further improve outcomes, reduce long-term complications, and provide cost-effective care. We will review the primary tools in clinical use: Adjuvant!, Oncotype DX, and MammaPrint as well as intrinsic subtypes and the plans for their further assessment in the clinical trial setting. The expected benefit from these models are that treatment recommendations for women with early-stage breast cancer will become more individualized and thereby appropriate by combining standard clinicopathologic and molecular features. This concept is currently being evaluated in multiple well-designed clinical trials.

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Year:  2010        PMID: 20587405     DOI: 10.3816/CBC.2010.s.005

Source DB:  PubMed          Journal:  Clin Breast Cancer        ISSN: 1526-8209            Impact factor:   3.225


  3 in total

1.  Personalized chemotherapy selection for breast cancer using gene expression profiles.

Authors:  Kaixian Yu; Qing-Xiang Amy Sang; Pei-Yau Lung; Winston Tan; Ty Lively; Cedric Sheffield; Mayassa J Bou-Dargham; Jun S Liu; Jinfeng Zhang
Journal:  Sci Rep       Date:  2017-03-03       Impact factor: 4.379

2.  A generic cycling hypoxia-derived prognostic gene signature: application to breast cancer profiling.

Authors:  Romain Boidot; Samuel Branders; Thibault Helleputte; Laila Illan Rubio; Pierre Dupont; Olivier Feron
Journal:  Oncotarget       Date:  2014-08-30

3.  MiR-449a promotes breast cancer progression by targeting CRIP2.

Authors:  Wei Shi; Jeff Bruce; Matthew Lee; Shijun Yue; Matthew Rowe; Melania Pintilie; Ryunosuke Kogo; Pierre-Antoine Bissey; Anthony Fyles; Kenneth W Yip; Fei-Fei Liu
Journal:  Oncotarget       Date:  2016-04-05
  3 in total

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