Predicting biomarkers in laryngeal squamous cell carcinoma based on the cytokine-cytokine receptor interaction pathway

This study provided CCRI differential gene expression by bioinformatics, and MR analysis demonstrated that cytokine receptors are risk factors for LSCC, providing new ideas for the pathogenesis and therapeutic targets of LSCC.

Authors

Institutions

Publication Details

Journal
Heliyon
Published
2024-09-01
DOI
https://doi.org/10.1016/j.heliyon.2024.e37738
Citations
6
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
1.71
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predicting biomarkers in laryngeal squamous cell carcinoma based on the cytokine-cytokine receptor interaction pathway

Qingyong Chen, Han Zhang, L. Lin, Huaiqing Lv et al.
6 citations
Heliyon
Cancer-related molecular mechanisms research
1.71
article

Predicting biomarkers in laryngeal squamous cell carcinoma based on the cytokine-cytokine receptor interaction pathway

Qingyong Chen, Han Zhang, L. Lin, Huaiqing Lv, Zhipeng Chen, Peng Li, Dongqing Wang, Qiang Shao
article en
6 citations

Abstract

This study provided CCRI differential gene expression by bioinformatics, and MR analysis demonstrated that cytokine receptors are risk factors for LSCC, providing new ideas for the pathogenesis and therapeutic targets of LSCC.

HeliyonVol. 10(18)
Binzhou Medical University (CN), Shandong University of Aeronautics (CN), Linyi People's Hospital (CN)
Openalex Percentile: Top 15%
Cancer-related molecular mechanisms research
1.71
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.