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Articles Published Processes
7/12/2023 11:13:16 AM | Browse: 154 | Download: 423
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Received |
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2023-02-01 08:43 |
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Peer-Review Started |
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2023-02-01 08:45 |
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To Make the First Decision |
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Return for Revision |
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2023-03-22 01:07 |
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Revised |
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2023-03-31 01:20 |
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Second Decision |
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2023-05-09 02:56 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Company Editor-in-Chief |
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2023-05-09 16:53 |
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Articles in Press |
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2023-05-09 16:53 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2023-05-07 18:28 |
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Typeset the Manuscript |
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2023-07-04 08:45 |
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Publish the Manuscript Online |
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2023-07-12 11:13 |
| ISSN |
1948-5204 (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) 2023. 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 |
Gastroenterology & Hepatology |
| Manuscript Type |
Clinical and Translational Research |
| Article Title |
Integrated analysis of single-cell and bulk RNA-seq establishes a novel signature for prediction in gastric cancer
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Fei Wen, Xin Guan, Hai-Xia Qu and Xiang-Jun Jiang |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Xiang-Jun Jiang, PhD, Doctor, Department of Gastroenterology, Qingdao Municipal Hospital, No. 1 Jiaozhou Road, Qingdao 266071, Shandong Province, China. drjxj@163.com |
| Key Words |
Gastric cancer; Single-cell RNA sequencing; Prediction model; Least absolute shrinkage and selection operator; Random forest |
| Core Tip |
In this study, we integrated and analyzed three single-cell RNA sequencing datasets and 10 bulk RNA sequencing datasets of gastric cancer (GC) from the Gene Expression Omnibus database. We conducted a differential expression analysis of epithelial cell subpopulations from GC tissue and normal gastric mucosa tissue and constructed GC prediction classifiers using the Least absolute shrinkage and selection operator (LASSO) method and random forest method. The LASSO prediction model was further validated in the Cancer Genome Atlas stomach adenocarcinoma dataset. TIMP1, PLOD3, CKS2, TYMP, TNFRSF10B, CPNE1, GDF15, BCAP31, and CLDN7 were selected as the predictive genes for GC. This study provides a new approach for constructing prediction models based on single-cell sequencing data and offers new reference targets for the clinical diagnosis and treatment of GC. |
| Publish Date |
2023-07-12 11:13 |
| Citation |
Wen F, Guan X, Qu HX, Jiang XJ. Integrated analysis of single-cell and bulk RNA-seq establishes a novel signature for prediction in gastric cancer. World J Gastrointest Oncol 2023; 15(7): 1215-1226 |
| URL |
https://www.wjgnet.com/1948-5204/full/v15/i7/1215.htm |
| DOI |
https://dx.doi.org/10.4251/wjgo.v15.i7.1215 |
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