Identification and Validation of Four Serum Biomarkers With Optimal Diagnostic and Prognostic Potential for Gastric Cancer Based on Machine Learning Algorithms

This study unveiled four promising biomarkers present in the serum of patients with GC, which could serve as powerful indicators of GC and provide valuable insights for further research into GC pathogenesis.

Authors

Institutions

Publication Details

Journal
Cancer Medicine
Published
2025-03-01
DOI
https://doi.org/10.1002/cam4.70659
Citations
3
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
2.81

Funders

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

Identification and Validation of Four Serum Biomarkers With Optimal Diagnostic and Prognostic Potential for Gastric Cancer Based on Machine Learning Algorithms

Shiyu Chen, Lisong Shen, Bingxian Bian, Bingqian Zhou et al.
3 citations
Cancer Medicine
Cancer-related molecular mechanisms research
2.81
article

Identification and Validation of Four Serum Biomarkers With Optimal Diagnostic and Prognostic Potential for Gastric Cancer Based on Machine Learning Algorithms

Shiyu Chen, Lisong Shen, Bingxian Bian, Bingqian Zhou, Yi Liu, Peng Zhang, Hui Chen
article en
3 citations

Abstract

This study unveiled four promising biomarkers present in the serum of patients with GC, which could serve as powerful indicators of GC and provide valuable insights for further research into GC pathogenesis.

Cancer MedicineVol. 14(6)
Shanghai Jiao Tong University (CN), XinHua Hospital (CN), Beijing Academy of Artificial Intelligence (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 11%
Cancer-related molecular mechanisms research
2.81
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.