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Articles Published Processes
4/8/2022 12:06:55 PM | Browse: 402 | Download: 993
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Received |
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2021-10-25 14:48 |
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Peer-Review Started |
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2021-10-25 14:49 |
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To Make the First Decision |
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Return for Revision |
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2021-12-17 10:04 |
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Revised |
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2021-12-23 06:41 |
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Second Decision |
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2022-02-24 06:10 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2022-02-27 19:20 |
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Articles in Press |
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2022-02-27 19:20 |
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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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2022-03-29 08:55 |
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Publish the Manuscript Online |
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2022-04-08 12:06 |
| ISSN |
2307-8960 (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: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2022. 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 |
Retrospective Study |
| Article Title |
Added value of systemic inflammation markers for monitoring response to neoadjuvant chemotherapy in breast cancer patients
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Zi-Rui Ke, Wei Chen, Man-Xiu Li, Shun Wu, Li-Ting Jin and Tie-Jun Wang |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Tie-Jun Wang, MD, Chief Doctor, Department of Breast Surgery, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology and Hubei Provincial Clinical Research Center for Breast Cancer, Wuhan, Hubei, 430079, People’s Republic of China., Hubei Cancer Hospital, 116 Zhuodaoquan South Road, Hongshan District, Wuhan, Hubei Province, People’s Republic of China., Wuhan 430079, Hubei Province, China. tiejunwanghp@163.com |
| Key Words |
Breast cancer; Neoadjuvant chemotherapy; Clinical response; Machine learning; Prediction |
| Core Tip |
For predicting rNACT, some ML-based models performed better than models using conventional methods, and the SVM model performed best. Preoperative serum lipids and serum inflammation markers have contributed to predicting rNACT in breast cancer patients. These results suggested the need to raise awareness of the importance of minimally-invasive approaches for monitoring breast cancer patients who intended to undergo NACT. However, the current study needs to be validated with caution and require external validation in the future. |
| Publish Date |
2022-04-08 12:06 |
| Citation |
Ke ZR, Chen W, Li MX, Wu S, Jin LT, Wang TJ. Added value of systemic inflammation markers for monitoring response to neoadjuvant chemotherapy in breast cancer patients. World J Clin Cases 2022; 10(11): 3389-3400 |
| URL |
https://www.wjgnet.com/2307-8960/full/v10/i11/3389.htm |
| DOI |
https://dx.doi.org/10.12998/wjcc.v10.i11.3389 |
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