Identification and validation of NEIL2 as a prognostic biomarker and potential therapeutic target in cervical cancer

The expression level of NEIL2 has a strong correlation with CC and affects its prognosis, which is expected to become a new prognostic biomarker in CC, providing an important reference for the diagnosis, mechanism research and treatment of cervical cancer.

Authors

Institutions

Publication Details

Journal
Discover Oncology
Published
2025-07-01
DOI
https://doi.org/10.1007/s12672-025-02924-2
Primary Topic
Galectins and Cancer Biology
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification and validation of NEIL2 as a prognostic biomarker and potential therapeutic target in cervical cancer

Lingjia Wei, Tianmeng Tan, Liming Bao, Jinqiu Su et al.
Discover Oncology
Galectins and Cancer Biology
article

Identification and validation of NEIL2 as a prognostic biomarker and potential therapeutic target in cervical cancer

Lingjia Wei, Tianmeng Tan, Liming Bao, Jinqiu Su, He Wang, Jiayuan Du, Yan Li
article en

Abstract

The expression level of NEIL2 has a strong correlation with CC and affects its prognosis, which is expected to become a new prognostic biomarker in CC, providing an important reference for the diagnosis, mechanism research and treatment of cervical cancer.

Discover OncologyVol. 16(1)
Guangxi Medical University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Guangxi Province
Good health and well-being
Openalex Percentile: Top 83%
Galectins and Cancer Biology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.