Evidence map›Paper›PMID 41454310›Full record

ArticleBMC cancer2025

Decoding anoikis-related genes in lung adenocarcinoma brainmetastasis via single-cell RNA sequencing: CD44-mediated functions.

Zheng Tao, Shuang Li, Haifeng Xia, Zhengzheng Ni, Kai Xie

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Article in BMC cancer, 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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5 · Who and what money

Authors and funding

5 authors.

Zheng Tao *Department of Thoracic Surgery, the First Affiliated Hospital of Wannan Medical College, Wannan Medical College, Wuhu, China.
Shuang Li *Department of Thoracic Surgery, the Fourth Affiliated Hospital Affiliated of Soochow University, Suzhou, China.
Haifeng XiaDepartment of Thoracic Surgery, the Fourth Affiliated Hospital Affiliated of Soochow University, Suzhou, China.
Zhengzheng NiDepartment of Thoracic Surgery, the First Affiliated Hospital of Wannan Medical College, Wannan Medical College, Wuhu, China.
Kai XieDepartment of Thoracic Surgery, the Fourth Affiliated Hospital Affiliated of Soochow University, Suzhou, China. kaixie715786420@126.com.

Funding

Suzhou Science and Technology Project SZM2024025Young and Middle-aged Fund Science and Technology Project of Wannan Medical College WK2024ZQNZ64
6 · The paper itself

Abstract

backgroundAnoikis, a form of cell death triggered by detachment from cell-cell contact, is closely associated with tumor invasion and metastasis. After LUAD has metastasized to the brain, the prognosis is extremely poor. This study aims to investigate the role of Anoikis-related genes (ARGs) in the progression of lung cancer brain metastasis.

methodsWe analyzed six lung cancer and six brain metastasis samples from a single-cell RNA sequencing (scRNA-seq) dataset. Potential molecular mechanisms were explored through cell communication and transcription factor regulation. AddModuleScore was applied to score cell types based on 338 ARGs. A cluster with the most significant score difference between the lung tumor (tumor group) and brain metastasis (mBrain group) was selected for pseudotime analysis. Epithelial differentiation genes were identified and intersected with ARGs. Using bulk RNA sequencing and patient survival data, a prognostic model was developed. Clinical samples were collected to validate differential expression between the two groups. ARGs associated with metastasis were knocked down to confirm their molecular functions.

resultsEpithelial cells exhibited the greatest difference between the two groups in terms of AddModuleScore and cell proportions. Cell communication analysis revealed strong enrichment of VEGF signaling. Transcription factor analysis identified distinct regulatory networks. A prognostic model based on bulk RNA data was constructed, with key genes including ITGA2, ITGA3, CD44, and BIRC3. ARGs were significantly associated with immune infiltration and immune checkpoint modulation. Clinical validation revealed that CD44 was significantly overexpressed in brain metastasis tissues. Knocking down CD44 significantly impaired cell proliferation, migration, and invasion.

conclusionOur findings indicate that epithelial cells undergo profound changes during lung cancer brain metastasis. ARGs, particularly CD44, play a critical role in this process and have prognostic significance for lung cancer brain metastasis.

Indexed as

Adenocarcinoma of LungAnoikisBrain NeoplasmsHyaluronan ReceptorsLung NeoplasmsBiomarkers, TumorFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedPrognosisSequence Analysis, RNASingle-Cell AnalysisBiomarkers, TumorCD44 protein, humanHyaluronan ReceptorsAnoikis related genesBrain metastasesLung adenocarcinomaSingle cell RNA sequencing

Identifiers

PMID41454310
PMCPMC13054984

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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.