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Articles Published Processes
12/11/2014 2:06:00 PM | Browse: 1270 | Download: 1306
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Received |
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2014-06-23 08:34 |
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Peer-Review Started |
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2014-06-23 19:27 |
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To Make the First Decision |
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2014-08-14 14:39 |
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Return for Revision |
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2014-08-18 09:24 |
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Revised |
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2014-08-19 00:00 |
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Second Decision |
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2014-09-17 13:59 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2014-09-17 14:26 |
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Articles in Press |
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2014-09-17 14:26 |
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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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2014-11-18 09:09 |
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Publish the Manuscript Online |
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2014-12-11 14:23 |
Category |
Surgery |
Manuscript Type |
Editorial |
Article Title |
Emerging gene-based prognostic tools in early breast cancer: First steps to personalised medicine
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Manuscript Source |
Invited Manuscript |
All Author List |
Umar Wazir and Kefah Mokbel |
Funding Agency and Grant Number |
Funding Agency |
Grant Number |
Breast Cancer Hope Foundation (London, United Kingdom) |
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Corresponding Author |
Kefah Mokbel, Professor, The London Breast Institute, Princess Grace Hospital, 45 Nottingham Place, London W1U 5NY, United Kingdom. kefahmokbel@hotmail.com |
Key Words |
Personalised medicine; Breast cancer; Prognosis; Polymerase chain reaction |
Core Tip |
Recurrence score, Prosigna and EndoPredict (EP) currently have the most convincing evidence available, of which Prosigna and EP have a significant degree of external validation. In terms of cost and turnover, EP has an advantage over its competitors, being designed to be performed at a local laboratory rather than at a central facility. The results of the results of the MINDACT and TailoRx trials are awaited. |
Publish Date |
2014-12-11 14:23 |
Citation |
Wazir U, Mokbel K. Emerging gene-based prognostic tools in early breast cancer: First steps to personalised medicine. World J Clin Oncol 2014; 5(5): 795-799 |
URL |
http://www.wjgnet.com/2218-4333/full/v5/i5/795.htm |
DOI |
http://dx.doi.org/10.5306/wjco.v5.i5.795 |
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