Open Access
Development and validation of a prognostic and drug sensitivity model for gastric cancer utilizing telomere-related genes
Xiaoxiao Li
1
,
Xihua Lu
2
,
Xiaoxuan Wang
3
,
Fuxiang Yu
4
,
Fu-Xiang Yu
5
,
Zhongguo Li
5
,
Daxin Chen
5
,
Yingxue Qi
3, 6
,
ZHONGYU LU
3, 6
,
Yaqin Liu
3
,
Dongsheng Chen
7
,
Yaoqiang Wu
4, 8
3
The state Key Laboratory of Neurology and Oncology Drug Development, Jiangsu Simcere Diagnostics Co.,Ltd., Nanjing Simcere Medical Laboratory Science Co., Ltd., Nanjing, Jiangsu, China.
|
4
Department of General Surgery, Dandong First Hospital, Dandong, Liaoning, China
|
5
Department of General Surgery, Dandong First Hospital, Dandong, Liaoning, China.
|
6
The state Key Laboratory of Neurology and Oncology Drug Development, Jiangsu Simcere Diagnostics Co.,Ltd., Nanjing Simcere Medical Laboratory Science Co., Ltd., Nanjing, Jiangsu, China
|
7
The state Key Laboratory of Neurology and Oncology Drug Development, Jiangsu Simcere Diagnostics Co.,Ltd., Nanjing Simcere Medical Laboratory Science Co., Ltd., Nanjing, Jiangsu, China; Cancer Center, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, Liaoning, China. Electronic address: dongsheng.chen@simceredx.com.
8
Department of General Surgery, Dandong First Hospital, Dandong, Liaoning, China. Electronic address: wuyaoqiang2022@163.com.
Publication type: Journal Article
Publication date: 2025-02-01
scimago Q1
wos Q2
SJR: 1.408
CiteScore: 8.6
Impact factor: 4.1
ISSN: 19365233
PubMed ID:
39647324
Abstract
BackgroundGastric cancer (GC) poses a major global health challenge because of its unfavorable prognosis. Elevated telomerase activity has been linked to the rapid growth and invasiveness of GC tumors. Investigating the expression profiles of telomerase could improve our understanding of the mechanisms underlying telomere-related GC advancement and its applicability as potential targets for diverse therapeutic strategies for GC.
Found
Nothing found, try to update filter.
Found
Nothing found, try to update filter.
Top-30
Journals
|
1
|
|
|
Hereditas
1 publication, 50%
|
|
|
Frontiers in Oncology
1 publication, 50%
|
|
|
1
|
Publishers
|
1
|
|
|
Springer Nature
1 publication, 50%
|
|
|
Frontiers Media S.A.
1 publication, 50%
|
|
|
1
|
- We do not take into account publications without a DOI.
- Statistics recalculated weekly.
Are you a researcher?
Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
2
Total citations:
2
Citations from 2024:
2
(100%)
Cite this
GOST |
RIS |
BibTex
Cite this
GOST
Copy
Li X. et al. Development and validation of a prognostic and drug sensitivity model for gastric cancer utilizing telomere-related genes // Translational Oncology. 2025. Vol. 52. p. 102232.
GOST all authors (up to 50)
Copy
Li X., Lu X., Wang X., Yu F., Yu F., Li Z., Chen D., Qi Y., LU Z., Liu Y., Chen D., Wu Y. Development and validation of a prognostic and drug sensitivity model for gastric cancer utilizing telomere-related genes // Translational Oncology. 2025. Vol. 52. p. 102232.
Cite this
RIS
Copy
TY - JOUR
DO - 10.1016/j.tranon.2024.102232
UR - https://linkinghub.elsevier.com/retrieve/pii/S1936523324003589
TI - Development and validation of a prognostic and drug sensitivity model for gastric cancer utilizing telomere-related genes
T2 - Translational Oncology
AU - Li, Xiaoxiao
AU - Lu, Xihua
AU - Wang, Xiaoxuan
AU - Yu, Fuxiang
AU - Yu, Fu-Xiang
AU - Li, Zhongguo
AU - Chen, Daxin
AU - Qi, Yingxue
AU - LU, ZHONGYU
AU - Liu, Yaqin
AU - Chen, Dongsheng
AU - Wu, Yaoqiang
PY - 2025
DA - 2025/02/01
PB - Elsevier
SP - 102232
VL - 52
PMID - 39647324
SN - 1936-5233
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2025_Li,
author = {Xiaoxiao Li and Xihua Lu and Xiaoxuan Wang and Fuxiang Yu and Fu-Xiang Yu and Zhongguo Li and Daxin Chen and Yingxue Qi and ZHONGYU LU and Yaqin Liu and Dongsheng Chen and Yaoqiang Wu},
title = {Development and validation of a prognostic and drug sensitivity model for gastric cancer utilizing telomere-related genes},
journal = {Translational Oncology},
year = {2025},
volume = {52},
publisher = {Elsevier},
month = {feb},
url = {https://linkinghub.elsevier.com/retrieve/pii/S1936523324003589},
pages = {102232},
doi = {10.1016/j.tranon.2024.102232}
}