Evidence map›Paper›PMID 42760759›Full record

ArticleCancer medicine2026

Identification of Inflammatory Cell Death-Related Prognostic Signature and Its Regulatory Mechanism in Lung Adenocarcinoma.

Yalun Yang, Di Liu, Shengwei Ma

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In one paragraph

Article in Cancer medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Yalun YangJingzhou Central Hospital, Jingzhou, China.
Di LiuJingzhou Central Hospital, Jingzhou, China.
Shengwei MaJingzhou Central Hospital, Jingzhou, China.ORCID https://orcid.org/0009-0005-0673-5045

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study investigated how inflammatory cell death-associated regulators influence the prognosis of lung adenocarcinoma (LUAD) and elucidated their underlying mechanisms.

methodsLUAD RNA-seq data from UCSC-Xena (training) and GSE72094 (validation) were analyzed. Inflammatory cell death regulators were identified, and LUAD subtypes were classified based on their expression. Subtypes were compared with respect to prognosis, clinical features, immune microenvironment, HLA genes, and immune checkpoints. Prognosis-related regulators and independent factors were identified, and a RiskScore model was built. Genomic alterations, drug sensitivity, immunotherapy response, and metabolic differences were analyzed across risk-stratified cohorts. Knockdown of TFDP1 in A549 cells was performed in vitro, and its effects on cell function were evaluated via RT-qPCR, Western blot, CCK-8, Transwell, and flow cytometry.

resultsThe research revealed 15 upregulated and 9 downregulated genes associated with inflammatory cell death, which were employed to stratify LUAD cases into two subtypes (Cluster 2 exhibited longer overall survival and higher immune/stromal scores). The seven-gene prognostic model (comprising BAK1, BMF, CYCS, FADD, IL1A, TFDP1, and YWHAG) demonstrated robust predictive power for LUAD patient survival risk. Notably, the high-risk cohort exhibited higher TIDE scores and lower IPS scores than the low-risk group. IL1A was positively correlated with 11 immune cell types and negatively correlated with 4. Drugs such as docetaxel and parthenolide may target this model. The study identified significant differences in 14 metabolic pathway enrichments between risk groups, particularly in fatty acid and fructose metabolism. Experimental validation confirmed TFDP1 upregulation in LUAD, and its knockdown suppressed A549 cell proliferation, migration, and invasion while inducing apoptosis.

conclusionA seven-gene inflammatory cell death-based signature for LUAD was developed, highlighting its role in immune regulation and its potential for immunotherapy. Experimental validation identified TFDP1 as a key regulator of inflammatory cell death processes in LUAD progression.

Indexed as

Adenocarcinoma of LungBiomarkers, TumorInflammationLung NeoplasmsCell DeathGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrognosisTumor MicroenvironmentBiomarkers, Tumorinflammatory cell deathlung adenocarcinomaprognostic signature

Identifiers

PMID42760759
PMCPMC13589103

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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.