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Articles Published Processes
8/30/2018 8:48:54 AM | Browse: 1091 | Download: 1355
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Received |
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2018-06-29 02:01 |
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Peer-Review Started |
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2018-06-30 07:27 |
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To Make the First Decision |
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2018-07-17 23:55 |
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Return for Revision |
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2018-07-18 01:30 |
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Revised |
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2018-07-26 12:28 |
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Second Decision |
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2018-08-02 12:16 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2018-08-04 21:21 |
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Articles in Press |
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2018-08-04 21:21 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2018-08-24 06:07 |
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Publish the Manuscript Online |
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2018-08-30 08:48 |
ISSN |
2220-315x (online) |
Open Access |
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
Copyright |
© The Author(s) 2018. Published by Baishideng Publishing Group Inc. All rights reserved. |
Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
Website |
http://www.wjgnet.com |
Category |
Medicine, Research & Experimental |
Manuscript Type |
Editorial |
Article Title |
Predictive markers of endocrine response in breast cancer
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Manuscript Source |
Invited Manuscript |
All Author List |
Duniya Mosly, Arran Turnbull, Andrew Sims, Carol Ward and Simon Langdon |
ORCID |
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Funding Agency and Grant Number |
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Corresponding Author |
Simon Langdon, PhD, Reader (Associate Professor), Cancer Research UK Edinburgh Centre and Division of Pathology Laboratory, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Crewe Road South, Edinburgh EH4 2XR, United Kingdom. simon.langdon@ed.ac.uk |
Key Words |
Estrogen; IL6ST; Biomarker; Breast cancer; Predictive |
Core Tip |
The expression level of estrogen receptor remains the major determinant of response for endocrine therapy in breast cancer. Molecular signatures provide increasing confidence for helping identify breast cancers for which endocrine therapy alone is likely to be sufficient. Estrogen and proliferation related genes have come to the fore in many of the molecular signatures. In neo-adjuvant studies, Ki67 expression at baseline and after 2 wk treatment can provide useful prognostic and predictive information. Neo-adjuvant studies continue to seek new markers that relate to tumor response. |
Publish Date |
2018-08-30 08:48 |
Citation |
Mosly D, Turnbull A, Sims A, Ward C, Langdon S. Predictive markers of endocrine response in breast cancer. World J Exp Med 2018; 8(1): 1-7 |
URL |
http://www.wjgnet.com/2220-315X/full/v8/i1/1.htm |
DOI |
http://dx.doi.org/10.5493/wjem.v8.i1.1 |
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