Blood-based machine learning classifiers for early diagnosis of gastric cancer <i>via</i> multiple miRNAs

Potential miRNA biomarkers, including miR-452-5p, miR-5010-5p, miR-27b-5p, miR-5189-5p, miR-552-5p and miR-199b-5p, were identified. A GC classifier based on these miRNAs was developed, benefiting early detection and population screening.

Authors

Institutions

Publication Details

Journal
World Journal of Gastrointestinal Oncology
Published
2025-03-24
DOI
https://doi.org/10.4251/wjgo.v17.i4.103679
Primary Topic
MicroRNA in disease regulation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Blood-based machine learning classifiers for early diagnosis of gastric cancer via multiple miRNAs

Guan-Lan Zhang, Aiqun Liu, Lian-Ying Ge, Jidong Gao et al.
World Journal of Gastrointestinal Oncology
MicroRNA in disease regulation
article

Blood-based machine learning classifiers for early diagnosis of gastric cancer via multiple miRNAs

Guan-Lan Zhang, Aiqun Liu, Lian-Ying Ge, Jidong Gao, Fuchao Ma, Wei Peng, Dan‐Ming Wei, Gang Chen, Yu-Lu Tang, Bang‐Teng Chi
article en

Abstract

Potential miRNA biomarkers, including miR-452-5p, miR-5010-5p, miR-27b-5p, miR-5189-5p, miR-552-5p and miR-199b-5p, were identified. A GC classifier based on these miRNAs was developed, benefiting early detection and population screening.

World Journal of Gastrointestinal OncologyVol. 17(4)
Guangxi Medical University (CN), First Affiliated Hospital of GuangXi Medical University (CN)
Openalex Percentile: Top 93%
MicroRNA in disease regulation
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.