Evidence map›Paper›PMID 40591173›Full record

ArticleDiscover oncology2025

Integrating single-cell sequencing analysis, bioinformatics analysis, and Mendelian randomization analysis to explore FABP4 prediction of prognosis and immune microenvironment in patients with lung squamous cell carcinoma.

Shun Gao, Xia Long, Jiawei Li, Xialin Zhang, Youhua Wang, Sheng Lin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Shun Gao *Department of Oncology, Renshou County People's Hospital, No. 177, Section 1, Longtan Avenue, Huairen Street, Meishan, Sichuan, China.
Xia Long *Department of Oncology, The Afiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China, No. 25 Taiping Street, Jiangyang District.
Jiawei Li *Department of Oncology, The Afiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China, No. 25 Taiping Street, Jiangyang District.
Xialin Zhang *Department of Oncology, The Afiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China, No. 25 Taiping Street, Jiangyang District.
Youhua WangDepartment of Oncology, Gulin County People's Hospital, 92 Dongxin Street, Jinlan Street, Gulin County, Luzhou, Sichuan, China. 1129810010@qq.com.
Sheng LinDepartment of Oncology, The Afiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China, No. 25 Taiping Street, Jiangyang District. lslinsheng@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer has a high incidence rate and lung squamous cell carcinoma accounts for about 30% of lung cancer. Due to the lack of accurate diagnosis for early stage lung squamous cell carcinoma and the limitations of treatment methods, the clinical treatment effect of lung squamous cell carcinoma is not satisfactory.we used single-cell sequencing analysis, bioinformatics analysis, and Mendelian randomization analysisto look for risk factors that can predict the onset of lung squamous cell carcinoma, the prognosis of lung squamous cell carcinoma patients, and the "star" molecule-Fatty Acid Binding Protein 4 (FABP4) as a mediator of macrophage infiltration in the lung squamous cell carcinoma tumor microenvironment. Overall, this "star" molecule (FABP4) may play an important role in the future prediction and treatment of lung squamous cell carcinoma.We first clarified the role of FABP4 in the occurrence and prognosis of LUSC through single-cell sequencing analysis, bioinformatics analysis, and Mendelian randomization analysis. This provides important evidence for the prevention and treatment of LUSC in the future.

Indexed as

Bioinformatics analysisFatty acid binding protein 4Lung squamous cell carcinomaMendelian random analysisSingle-cell RNA sequencing

Identifiers

PMID40591173
PMCPMC12214080

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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.