Identification of Diagnostic Biomarkers Associated With M1 Macrophage in Lung Squamous Cell Carcinoma via Machine Learning

The study highlights the pivotal role of M1 macrophage-related DEGs in LUSC tumorigenesis. The newly identified 5 hub genes provide a highly accurate diagnostic tool for LUSC, offering potential improvements for both diagnostic and therapeutic strategies.

Authors

Institutions

Publication Details

Journal
Frontiers in Bioscience-Landmark
Published
2025-10-31
DOI
https://doi.org/10.31083/fbl44661
Primary Topic
Immune cells in cancer
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification of Diagnostic Biomarkers Associated With M1 Macrophage in Lung Squamous Cell Carcinoma via Machine Learning

Qiangzhe Zhang, Huiting Deng, Zhenling Wang
Frontiers in Bioscience-Landmark
Immune cells in cancer
article

Identification of Diagnostic Biomarkers Associated With M1 Macrophage in Lung Squamous Cell Carcinoma via Machine Learning

Qiangzhe Zhang, Huiting Deng, Zhenling Wang
article en

Abstract

The study highlights the pivotal role of M1 macrophage-related DEGs in LUSC tumorigenesis. The newly identified 5 hub genes provide a highly accurate diagnostic tool for LUSC, offering potential improvements for both diagnostic and therapeutic strategies.

Frontiers in Bioscience-LandmarkVol. 30(10)
Nankai University (CN), Tianjin Third Central Hospital (CN), Tianjin Huanhu Hospital (CN), Tianjin Medical University (CN)
Openalex Percentile: Top 65%
Immune cells in cancer
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.