Evidence map›Paper›PMID 41182463›Full record

ArticleDiscover oncology2025

Fibrinogen beta chain as a prognostic biomarker and therapeutic target in tobacco-associated lung adenocarcinoma.

Jijun Xue, Wenfeng Han, Wentao Zhao, Xiaoqi Li

Abstract read
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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

4 authors.

Jijun XueThoracic surgery, Sun Yat-sen University Cancer Center Gansu Hospital, Lanzhou, 730050, Gansu , China.
Wenfeng HanFirst Department of Thoracic Surgery, Gansu Provincial Cancer Hospital, Lanzhou, 730050, Gansu, China.
Wentao ZhaoDepartment of General Thoracic Surgery, Gansu Provincial Cancer Hospital, Lanzhou, 730050, Gansu, China.
Xiaoqi LiCadre Ward of Respiratory and Critical Care Medicine Department, Gansu Provincial People's Hospital, 204 Donggang West Road, Lanzhou, 730000, Gansu, China. lixiaoqi601sci@163.com.

Funding

Lanzhou Science and Technology Bureau of Science and Technology Development Guidance Plan Project 2023-ZD-70
6 · The paper itself

Abstract

The β-subunit of fibrinogen (FGB), a key element of the main plasma clotting protein, is increasingly recognised as a contributor to tumour biology. To clarify its relevance in smoking-related lung adenocarcinoma (LUAD), we interrogated seven public transcriptomic cohorts obtained from the TCGA portal on UCSC-Xena and from the GEO repository, together with their matched clinical annotations. Across datasets, patients with a history of smoking displayed markedly higher FGB transcript levels than never-smokers. Greater FGB abundance correlated with worse Eastern Cooperative Oncology Group (ECOG) performance status and more advanced TNM classification. Genotype-stratified analysis showed reduced FGB expression in EGFR-mutant LUAD, whereas KRAS- or STK11-mutant tumours exhibited the opposite pattern. Kaplan-Meier curves indicated that high FGB expression predicted inferior overall survival (OS) and progression-free survival (PFS); this unfavourable prognostic effect remained evident when analyses were restricted to smokers. In multivariable Cox models, FGB emerged as an independent determinant of outcome for tobacco-exposed LUAD. A prognostic nomogram combining FGB expression with TNM stage outperformed TNM stage alone and yielded a clear net clinical benefit. Pathway enrichment pointed towards coagulation-associated processes as the principal biological context for FGB up-regulation. Collectively, these findings identify elevated FGB as a hallmark of an aggressive smoker-derived LUAD subset and as a standalone prognostic biomarker, offering potential value for risk stratification and therapeutic decision-making in this patient population.

Indexed as

Fibrinogen beta chain (FGB)Gene expression analysisLung adenocarcinoma (LUAD)NomogramPrognosisPrognostic indicatorTobacco exposure

Identifiers

PMID41182463
PMCPMC12583432

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.