Literature DB >> 21278442

Molecular stratification of triple-negative breast cancers.

Charles M Perou1.   

Abstract

Research focused on the analysis and classification of breast tumors, primarily using DNA microarrays and patterns of gene expression, has resulted in distinct tumor subtypes. Although no knowledge of patient survival or outcomes was used to derive these gene descriptions, these different classes based upon patterns of gene expression have important prognostic implications. Predictive markers in estrogen receptor-negative and triple-negative disease will be particularly important because in the absence of therapy, these tumor subtypes tend to have a poor prognosis. In addition, the claudin-low subgroup has been found to be common within the triple-negative cancers and may have further prognostic and therapeutic implications. Patients with triple-negative breast cancer do benefit from chemotherapy, but better treatment options are needed that are less toxic, reduce the risk of disease progression, and are more targeted to this patient population. Potential treatments include poly (ADP-ribose) polymerase inhibitors, and therapies that target cancer stem cells could also have an important impact in these patients. This article will focus on the molecular stratification of triple-negative breast cancers and the therapeutic implications of these classifications.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21278442     DOI: 10.1634/theoncologist.2011-S1-61

Source DB:  PubMed          Journal:  Oncologist        ISSN: 1083-7159


  150 in total

1.  RIP1K and RIP3K provoked by shikonin induce cell cycle arrest in the triple negative breast cancer cell line, MDA-MB-468: necroptosis as a desperate programmed suicide pathway.

Authors:  Zahra Shahsavari; Fatemeh Karami-Tehrani; Siamak Salami; Mehran Ghasemzadeh
Journal:  Tumour Biol       Date:  2015-10-26

2.  The TRAIL receptor agonist drozitumab targets basal B triple-negative breast cancer cells that express vimentin and Axl.

Authors:  Jennifer L Dine; Ciara C O'Sullivan; Donna Voeller; Yoshimi E Greer; Kathryn J Chavez; Catherine M Conway; Sarah Sinclair; Brandon Stone; Laleh Amiri-Kordestani; Anand S Merchant; Stephen M Hewitt; Seth M Steinberg; Sandra M Swain; Stanley Lipkowitz
Journal:  Breast Cancer Res Treat       Date:  2016-01-12       Impact factor: 4.872

3.  PET/CT and breast cancer subtypes.

Authors:  Laura Gilardi; Marco Colleoni; Giovanni Paganelli
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-09       Impact factor: 9.236

Review 4.  Biological Subtypes of Triple-Negative Breast Cancer.

Authors:  Michael Hubalek; Theresa Czech; Hannes Müller
Journal:  Breast Care (Basel)       Date:  2017-02-20       Impact factor: 2.860

5.  Breast cancer subtypes and previously established genetic risk factors: a bayesian approach.

Authors:  Katie M O'Brien; Stephen R Cole; Lawrence S Engel; Jeannette T Bensen; Charles Poole; Amy H Herring; Robert C Millikan
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-10-31       Impact factor: 4.254

6.  Quantum dot-based in situ simultaneous molecular imaging and quantitative analysis of EGFR and collagen IV and identification of their prognostic value in triple-negative breast cancer.

Authors:  Hong-Mei Zheng; Chuang Chen; Xin-Hong Wu; Jian Chen; Si Sun; Jin-Zhong Sun; Ming-Wei Wang; Sheng-Rong Sun
Journal:  Tumour Biol       Date:  2015-09-19

7.  Targeting Met and Notch in the Lfng-deficient, Met-amplified triple-negative breast cancer.

Authors:  Shubing Zhang; Wen-cheng Chung; Lucio Miele; Keli Xu
Journal:  Cancer Biol Ther       Date:  2014-02-20       Impact factor: 4.742

8.  BTG2 inhibits the proliferation, invasion, and apoptosis of MDA-MB-231 triple-negative breast cancer cells.

Authors:  Yan-jun Zhang; Lichun Wei; Mei Liu; Jie Li; Yi-qiong Zheng; Ying Gao; Xi-ru Li
Journal:  Tumour Biol       Date:  2013-02-19

9.  Metabolic phenotypes in triple-negative breast cancer.

Authors:  Sewha Kim; Do Hee Kim; Woo-Hee Jung; Ja Seung Koo
Journal:  Tumour Biol       Date:  2013-02-27

Review 10.  MiRNAs-mediated cisplatin resistance in breast cancer.

Authors:  Xiu Chen; Peng Lu; Ying Wu; Dan-Dan Wang; Siying Zhou; Su-Jin Yang; Hong-Yu Shen; Xiao-Hui Zhang; Jian-Hua Zhao; Jin-Hai Tang
Journal:  Tumour Biol       Date:  2016-07-22
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.