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Articles Published Processes
3/21/2024 11:37:41 AM | Browse: 218 | Download: 1013
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Received |
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2023-12-13 10:18 |
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Peer-Review Started |
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2023-12-13 10:18 |
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First Decision by Editorial Office Director |
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2023-12-27 17:54 |
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Return for Revision |
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2023-12-27 17:54 |
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Revised |
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2024-01-09 14:47 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2024-03-04 02:52 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2024-03-04 05:02 |
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Articles in Press |
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2024-03-04 05:02 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2024-03-18 04:01 |
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Publish the Manuscript Online |
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2024-03-21 11:37 |
| ISSN |
1007-9327 (print) and 2219-2840 (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) 2024. 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 |
Immunology |
| Manuscript Type |
Basic Study |
| Article Title |
Identification of an immune-related gene signature for predicting prognosis and immunotherapy efficacy in liver cancer via cell-cell communication
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Jun-Tao Li, Hong-Mei Zhang, Wei Wang and Dong-Qing Wei |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Scientific and Technological Project of Henan Province |
212102210140 |
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| Corresponding Author |
Hong-Mei Zhang, MPhil, Master's Student, College of Mathematics and Information Science, Henan Normal University, Jianshe East Road, Xinxiang 453007, Henan Province, China. zhanghmmail@163.com |
| Key Words |
Liver cancer; Cell-cell communication; Gene signature; Prognosis; Immunotherapy; Single-cell RNA sequencing |
| Core Tip |
In this study, CellChat was employed to infer cell-cell communication, thereby selecting highly active cell groups in immune-related pathways on single-cell RNA-sequencing data. Highly active immune cells were identified by intersecting these groups with B and T cells. Subsequently, significantly differentially expressed genes between highly active immune cells and the remaining cells were incorporated into the Lasso regression model. Ultimately, incorporating genes selected more than 5 times in 10 Lasso regression experiments into a multivariable Cox regression model, 3 genes (stathmin 1, cofilin 1, and C-C chemokine ligand 5) significantly associated with survival were identified to construct a gene signature. |
| Publish Date |
2024-03-21 11:37 |
| Citation |
Li JT, Zhang HM, Wang W, Wei DQ. Identification of an immune-related gene signature for predicting prognosis and immunotherapy efficacy in liver cancer via cell-cell communication. World J Gastroenterol 2024; 30(11): 1609-1620 |
| URL |
https://www.wjgnet.com/1007-9327/full/v30/i11/1609.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v30.i11.1609 |
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