Evidence map›Paper›PMID 40386777›Full record

ArticleFrontiers in immunology2025

A comprehensive pan-cancer analysis of LRFN4: its potential as a prognostic biomarker and therapeutic target for immunotherapy.

Yinmei Xu, Xin Wu, Peng Zhi, Genyu Guo, Yankan Fu, Lukuan You, Siyuan Huai, Jianxiong Li

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Article in Frontiers in immunology, 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

8 authors.

Yinmei XuMedical College, People's Liberation Army General Hospital, Beijing, China.
Xin WuDepartment of General Surgery, People's Liberation Army General Hospital, Beijing, China.
Peng ZhiMedical College, People's Liberation Army General Hospital, Beijing, China.
Genyu GuoMedical College, People's Liberation Army General Hospital, Beijing, China.
Yankan FuMedical College, People's Liberation Army General Hospital, Beijing, China.
Lukuan YouMedical College, People's Liberation Army General Hospital, Beijing, China.
Siyuan HuaiDepartment of Radiotherapy, Fifth Medical Center of the People's Liberation Army General Hospital, Beijing, China.
Jianxiong LiDepartment of Radiotherapy, Fifth Medical Center of the People's Liberation Army General Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: LRFN4, characterized by leucine-rich repeats and fibronectin type III domains, has been implicated in various human diseases. However, its role in immune regulation and cancer prognosis remains unclear. Methods: We performed a comprehensive analysis using datasets from The Cancer Genome Atlas (TCGA), Cancer Cell Line Encyclopedia (CCLE), Genotype-Tissue Expression Project (GTE x), UALCAN, Star Base, and Comparative Toxicogenomics Database (CTD), and observed significant dysregulation of LRFN4 in multiple cancers compared to normal tissues. Results: LRFN4 expression was strongly correlated with clinical prognosis, immune subtypes, molecular subtypes, immune checkpoint (ICP) genes, tumor mutational burden (TMB), microsatellite instability (MSI), and immune infiltration, which were measured by ESTIMATE scores. Moreover, LRFN4 expression was associated with the presence of tumor-infiltrating immune cells, particularly in gastrointestinal tumors, reflecting immune cell genetic signatures. Validation through fluorescence multiplex immunohistochemistry confirmed that the association of LRFN4 protein expression with the clinicopathological features and the immune microenvironment of gastric cancer. Flow cytometry analysis indicated that LRFN4 inhibited apoptosis in gastric cancer cell lines while enhancing cell cycle arrest in the S phase. Western Blot analysis demonstrated a positive correlation between the high expression of LRFN4 and the expression levels of cyclin D1 as well as CDK4. In contrast, a negative correlation was observed between the high expression of LRFN4 and the expression level with cleaved-caspase-3 levels. Conclusion: These findings suggest that LRFN4 may serve as a novel biomarker for cancer prognosis and a potential target for immunotherapy.

Indexed as

Biomarkers, TumorNeoplasmsCell Line, TumorGene Expression Regulation, NeoplasticHumansImmunotherapyPrognosisTumor MicroenvironmentBiomarkers, TumorimmunotherapyLRFN4pan-cancer analysisprognostic biomarkerTCGAtumor microenvironment

Identifiers

PMID40386777
PMCPMC12081452

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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.