Literature DB >> 29313063

Using gene expression data to direct breast cancer therapy: evidence from a preclinical trial.

Shams Reaz1, Deimante Tamkus2, Eran R Andrechek3.   

Abstract

The heterogeneity both within and between breast cancers presents a significant clinical challenge for both diagnosis and therapy. This heterogeneity is present at all levels of analysis in breast cancer, ranging from genomic to metabolomic. A function of this heterogeneity is that numerous signaling networks are activated, and while treatment of one arm may be initially effective, this allows the tumor to be poised to evolve a resistance mechanism. Here we review the classification of breast cancers and discuss therapy of hormone positive, HER2 positive, and triple negative breast cancers. Model systems for breast cancer are examined allowing for a preclinical trial using a personalized medicine approach to be tested. This preclinical trial was based solely on cell signaling pathway activation and effectively and specifically blocked tumor growth in a preclinical model system.

Entities:  

Keywords:  Breast cancer; Genomics; Heterogeneity; Mouse models; Signaling

Mesh:

Substances:

Year:  2018        PMID: 29313063      PMCID: PMC5921923          DOI: 10.1007/s00109-017-1620-7

Source DB:  PubMed          Journal:  J Mol Med (Berl)        ISSN: 0946-2716            Impact factor:   4.599


  63 in total

1.  Triple-negative breast cancer: clinical features and patterns of recurrence.

Authors:  Rebecca Dent; Maureen Trudeau; Kathleen I Pritchard; Wedad M Hanna; Harriet K Kahn; Carol A Sawka; Lavina A Lickley; Ellen Rawlinson; Ping Sun; Steven A Narod
Journal:  Clin Cancer Res       Date:  2007-08-01       Impact factor: 12.531

2.  Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications.

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Journal:  Proc Natl Acad Sci U S A       Date:  2001-09-11       Impact factor: 11.205

Review 3.  Tumor heterogeneity.

Authors:  G H Heppner
Journal:  Cancer Res       Date:  1984-06       Impact factor: 12.701

4.  Coexpression of MMTV/v-Ha-ras and MMTV/c-myc genes in transgenic mice: synergistic action of oncogenes in vivo.

Authors:  E Sinn; W Muller; P Pattengale; I Tepler; R Wallace; P Leder
Journal:  Cell       Date:  1987-05-22       Impact factor: 41.582

5.  Distinctive gene expression patterns in human mammary epithelial cells and breast cancers.

Authors:  C M Perou; S S Jeffrey; M van de Rijn; C A Rees; M B Eisen; D T Ross; A Pergamenschikov; C F Williams; S X Zhu; J C Lee; D Lashkari; D Shalon; P O Brown; D Botstein
Journal:  Proc Natl Acad Sci U S A       Date:  1999-08-03       Impact factor: 11.205

Review 6.  Escalating and de-escalating treatment in HER2-positive early breast cancer.

Authors:  Heikki Joensuu
Journal:  Cancer Treat Rev       Date:  2016-11-10       Impact factor: 12.111

7.  Multiple molecular subtypes of triple-negative breast cancer critically rely on androgen receptor and respond to enzalutamide in vivo.

Authors:  Valerie N Barton; Nicholas C D'Amato; Michael A Gordon; Hanne T Lind; Nicole S Spoelstra; Beatrice L Babbs; Richard E Heinz; Anthony Elias; Paul Jedlicka; Britta M Jacobsen; Jennifer K Richer
Journal:  Mol Cancer Ther       Date:  2015-02-23       Impact factor: 6.261

8.  Prediction and genetic demonstration of a role for activator E2Fs in Myc-induced tumors.

Authors:  Kenichiro Fujiwara; Inez Yuwanita; Daniel P Hollern; Eran R Andrechek
Journal:  Cancer Res       Date:  2011-01-18       Impact factor: 12.701

9.  Spontaneous mammary adenocarcinomas in transgenic mice that carry and express MTV/myc fusion genes.

Authors:  T A Stewart; P K Pattengale; P Leder
Journal:  Cell       Date:  1984-10       Impact factor: 41.582

10.  Stat3 accelerates Myc induced tumor formation while reducing growth rate in a mouse model of breast cancer.

Authors:  Jing-Ru Jhan; Eran R Andrechek
Journal:  Oncotarget       Date:  2016-10-04
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  1 in total

1.  Identification of FOXM1 as a specific marker for triple‑negative breast cancer.

Authors:  Yanli Tan; Qixue Wang; Yingbin Xie; Xiaoxia Qiao; Shun Zhang; Yanan Wang; Yongbin Yang; Bo Zhang
Journal:  Int J Oncol       Date:  2018-10-19       Impact factor: 5.650

  1 in total

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