Evidence map›Paper›PMID 41299024›Full record

ArticleNPJ digital medicine2025

Machine learning identifies TIME subtypes linking EGFR mutations and immune states in lung adenocarcinoma.

Zetian Gong, Mingjun Du, Ying Li, Bicheng Ye, Yuming Huang, Hui Gong, Wei Wang, Liang Chen, Zongli Ding, Pengpeng Zhang

Abstract read
In one paragraph

Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

69 citing papers in PubMed.

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9 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Zetian Gong *Department of Thoracic Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Mingjun Du *Department of Thoracic Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Ying Li *Department of Geriatrics, The Affiliated Huai'an Hospital of Xuzhou Medical University and the Second People's Hospital of Huai'an, Huai'an, China.
Bicheng Ye *Liver Disease Center of Integrated Traditional Chinese and Western Medicine, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology (Southeast University), Nanjing, China.
Yuming HuangDepartment of Thoracic Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Hui GongDepartment of Trauma Center, Affiliated Hospital of Nantong University, Nantong, China.
Wei WangDepartment of Thoracic Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Liang ChenDepartment of Thoracic Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Zongli DingDepartment of Geriatrics, The Affiliated Huai'an Hospital of Xuzhou Medical University and the Second People's Hospital of Huai'an, Huai'an, China. zongliding2011@126.com.
Pengpeng ZhangDepartment of Thoracic Surgery, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China. zpp19940120@tmu.edu.cn.

Funding

Natural Science Research Project of Huai'an City HAB2024017Tianjin Key Medical Discipline (Specialty) Construction Project TJYXZDXK-011ATianjin Natural Science Foundation 21JCYBJC01020
6 · The paper itself

Abstract

Epidermal growth factor receptor (EGFR) mutation is a key oncogenic driver in lung adenocarcinoma (LUAD), but its impact on the tumor immune microenvironment (TIME) remains unclear. By integrating single-cell transcriptomes from 153 LUAD samples using machine learning, we generated an atlas of over one million cells that delineates immune heterogeneity. EGFR-mutant tumors exhibited enrichment of TIGIT

Identifiers

PMID41299024
PMCPMC12749019

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.