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8/26/2020 5:49:13 AM | Browse: 487 | Download: 713
Publication Name World Journal of Stem Cells
Manuscript ID 56871
Country United States
Received
2020-05-18 06:35
Peer-Review Started
2020-05-18 06:36
To Make the First Decision
Return for Revision
2020-06-05 18:46
Revised
2020-07-08 09:45
Second Decision
2020-08-13 11:04
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2020-08-13 21:19
Articles in Press
2020-08-13 21:19
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2020-08-25 06:40
Publish the Manuscript Online
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
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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
Manuscript Source Invited Manuscript
All Author List Lisa X Lee and Shengwen Calvin Li
ORCID
Author(s) ORCID Number
Lisa X Lee http://orcid.org/0000-0002-0664-2253
Shengwen Calvin Li http://orcid.org/0000-0002-9699-9204
Funding Agency and Grant Number
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
Full Article (PDF) WJSC-12-706.pdf
Full Article (Word) WJSC-12-706.docx
Manuscript File 56871-Review.docx
Answering Reviewers 56871-Answering reviewers.pdf
Audio Core Tip 56871-Audio core tip.mp3
Conflict-of-Interest Disclosure Form 56871-Conflict-of-interest statement.pdf
Copyright License Agreement 56871-Copyright license agreement.pdf
Peer-review Report 56871-Peer-review(s).pdf
Scientific Misconduct Check 56871-Scientific misconduct check.pdf
Scientific Editor Work List 56871-Scientific editor work list.pdf