Evidence map›Paper›PMID 41180485›Full record

ArticlePeerJ2025

Identification and experimental verification of necroptosis-related prognostic gene signature and characterization of tumor immune infiltration in lung squamous cell carcinoma.

Kai Sun, Ke-Run Wang, Song Wen, Juan-Juan Hong, Yu-Lang Fei, Qing-Hua Pan, Fang-Fang Xie

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Article in PeerJ, 2025. 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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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Kai SunThe Affiliated Cancer Hospital of Gannan Medical University (Ganzhou Cancer Hospital), Ganzhou, China.
Ke-Run WangThe Affiliated Cancer Hospital of Gannan Medical University (Ganzhou Cancer Hospital), Ganzhou, China.
Song WenThe Affiliated Cancer Hospital of Gannan Medical University (Ganzhou Cancer Hospital), Ganzhou, China.
Juan-Juan HongLiuzhou People's Hospital, Liuzhou, Guangxi Zhuang Autonomous Region, China.
Yu-Lang FeiThe First Affiliated Hospital of Nanyang Medical College, Nanyang, Henan Province, China.
Qing-Hua PanThe Affiliated Cancer Hospital of Gannan Medical University (Ganzhou Cancer Hospital), Ganzhou, China.
Fang-Fang XieDepartment of Rheumatology, Ganzhou People's Hospital, Ganzhou, Jiangxi Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lung squamous cell carcinoma (LUSC) is a common and aggressive malignancy. Necroptosis, a regulated mode of cell death, has been implicated in tumor immunity and oncogenic processes, yet the mechanistic involvement of necroptosis-related genes (NRGs) in LUSC pathogenesis remains unclear, necessitating systematic evaluation of their biological and clinical relevance. Methods and Results: Clinical and transcriptomic data of LUSC patients from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) were subjected to integrative analyses. Screening of the Kyoto Encyclopedia of Genes and Genomes (KEGG) database identified 159 NRGs, among which 35 differentially expressed NRGs (DENRGs) were associated with necroptosis, apoptosis, and immune signaling pathways. Cox regression combined with Least Absolute Shrinkage and Selection Operator (LASSO) analysis yielded three NRGs (CAMK2A, CHMP4C, and PYGB) strongly associated with patient prognosis. Based on these genes, a prognostic model was constructed to stratify patients into high- and low-risk subgroups with distinct survival patterns. External dataset validation demonstrated moderate predictive accuracy. Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) and immunohistochemistry (IHC) confirmed abnormal expression of the three genes in LUSC tissues. Additional analyses revealed correlations of these NRGs with immune infiltration, immune checkpoint activity, tumor mutation burden (TMB), and microsatellite instability (MSI). Conclusions: A three-gene NRG signature was identified as a prognostic marker in LUSC. These genes appear to influence disease progression and the immune microenvironment, highlighting their potential as therapeutic targets and as a foundation for further investigation.

Indexed as

Carcinoma, Squamous CellLung NeoplasmsNecroptosisBiomarkers, TumorFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMiddle AgedPrognosisTranscriptomeBiomarkers, TumorImmunohistochemistryLung squamous cell carcinomaNecroptosisPrognosis signatureTumor immune infiltration

Identifiers

PMID41180485
PMCPMC12579482

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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.