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Articles Published Processes
8/26/2020 5:49:13 AM | Browse: 622 | Download: 1074
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Received |
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2020-05-18 06:35 |
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Peer-Review Started |
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2020-05-18 06:36 |
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To Make the First Decision |
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Return for Revision |
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2020-06-05 18:46 |
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Revised |
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2020-07-08 09:45 |
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Second Decision |
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2020-08-13 11:04 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2020-08-13 21:19 |
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Articles in Press |
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2020-08-13 21:19 |
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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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2020-08-25 06:40 |
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Publish the Manuscript Online |
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2020-08-26 05:49 |
ISSN |
1948-0210 (online) |
Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (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) 2020. 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 |
Oncology |
Manuscript Type |
Therapeutic and Diagnostic Guidelines |
Article Title |
Hunting down the dominating subclone of cancer stem cells as a potential new therapeutic target in multiple myeloma: An artificial intelligence perspective
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Manuscript Source |
Invited Manuscript |
All Author List |
Lisa X Lee and Shengwen Calvin Li |
ORCID |
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Funding Agency and Grant Number |
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Corresponding Author |
Shengwen Calvin Li, PhD, Professor, Neuro-oncology and Stem Cell Research Laboratory, CHOC Children's Research Institute, Children's Hospital of Orange County, 1201 W La Veta Ave., Orange, CA 92868, United States. shengwel@uci.edu |
Key Words |
Multiple myeloma; Single cells; Single-cell transcriptome; Subclonal evolution; Cancer stem cells; Systemic tracking of single-cell landscape |
Core Tip |
Current methods for determining prognosis in multiple myeloma are limited. The prototype device called Multi-Phase Laser-cavitation Single Cell Analyzer can perform reverse transcriptase polymerase chain reaction (RT-PCR) on single cells in a one-step microfluidics chip platform. The ability of the microfluidics chip platform to enrich plasma cell content by depleting CD45+ white blood cells has been demonstrated. Further studies will need to combine single-cell selection with RT-PCR to further enhance the diagnostic capabilities of this technology. This platform has the potential to be used for clinical risk stratification in multiple myeloma as well as minimal residual disease monitoring and selection of therapies to modulate the development of resistance. |
Publish Date |
2020-08-26 05:49 |
Citation |
Lee LX, Li SC. Hunting down the dominating subclone of cancer stem cells as a potential new therapeutic target in multiple myeloma: An artificial intelligence perspective. World J Stem Cells 2020; 12(8): 706-720 |
URL |
https://www.wjgnet.com/1948-0210/full/v12/i8/706.htm |
DOI |
https://dx.doi.org/10.4252/wjsc.v12.i8.706 |
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