Evidence map›Paper›PMID 42079608›Full record

ArticleFrontiers in immunology2026

Identification of a migrasome-related lncRNA signature and its prognostic and immunological role in bladder cancer.

Junlin Shen, Chun Wang, Tian'en Li, Heyang Guan, Mingpeng Zhang, Ruitao Li, Yaqun Zhang, Liwei Liu, Jing Tian, Zhiqun Shang

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. 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

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Mechanistic insights into the lncRNA-Notch signaling axis in tumors.Frontiers in cell and developmental biology · 2026
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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

10 authors.

Junlin Shen *Department of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
Chun Wang *Department of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
Tian'en Li *Department of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
Heyang Guan *Department of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
Mingpeng Zhang *Department of Thoracic Surgery, Tongji Hospital, Tongji Medical College, HuazhongUniversity of Science and Technology, Wuhan, Hubei, China.
Ruitao Li *Department of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
Yaqun ZhangDepartment of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
Liwei LiuDepartment of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
Jing TianDepartment of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
Zhiqun ShangDepartment of Urology, Tianjin Institute of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bladder cancer (BLCA) is a highly heterogeneous malignancy with considerable variability in clinical outcomes. Reliable biomarkers for prognosis and treatment guidance remain urgently needed. Migrasomes, recently identified cellular organelles involved in intercellular communication, have been implicated in cancer progression, yet their associated long non-coding RNAs (lncRNAs) and prognostic relevance in BLCA remain unclear. Methods: We integrated transcriptomic and clinical data from The Cancer Genome Atlas (TCGA) to identify migrasome-related lncRNAs through co-expression analysis. A prognostic signature was constructed using univariate Cox, LASSO, and multivariate regression analyses. Patients were stratified into high- and low-risk groups across training, validation, and entire cohorts. Kaplan-Meier survival, ROC curves, PCA, and Cox analyses were used for validation. Functional annotation was conducted via GO, KEGG, and GSEA. Immune infiltration and tumor microenvironment features were evaluated using ESTIMATE and CIBERSORT, while tumor mutation burden (TMB), immune escape potential, and drug sensitivity were also analyzed. Single-cell RNA sequencing (scRNA-seq) analysis delineated cellular heterogeneity and intercellular communication patterns related to the risk signature in the BLCA microenvironment. Finally, experimental validation of SEC24B-AS1, a key lncRNA within the model, was performed through qRT-PCR, CCK-8, colony formation, and migration assays to confirm its biological relevance. Results: A robust prognostic signature comprising migrasome-related lncRNAs was established, effectively distinguishing patients into high- and low-risk groups with significantly different survival outcomes. The signature remained an independent prognostic factor after multivariate adjustment. Functional enrichment analyses revealed marked biological distinctions between the two groups. Immune profiling showed higher immune and stromal scores in high-risk patients, together with distinct immune cell composition and function. High-risk tumors also exhibited elevated TMB and increased immune evasion potential. Drug sensitivity analysis identified compounds with differential responses between risk subgroups. Single-cell transcriptomic analysis indicated that the signature reflects cellular heterogeneity and intercellular communication patterns within the BLCA microenvironment. Experimental validation of SEC24B-AS1, a key lncRNA in the model, demonstrated its impact on tumor cell proliferation and migration, supporting the biological relevance of the prognostic signature in BLCA. Conclusion: This study presents a novel migrasome-related lncRNA signature that independently predicts survival in bladder cancer and reflects the tumor immune landscape.

Indexed as

Biomarkers, TumorRNA, Long NoncodingUrinary Bladder NeoplasmsCell MovementGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrognosisTranscriptomeTumor MicroenvironmentBiomarkers, TumorRNA, Long Noncodingbladder cancergenomic mutation burdenmigrasome-related lncRNAsprognostic biomarker signaturesingle-cell transcriptomic profilingtherapeutic sensitivitytumor immune landscape

Identifiers

PMID42079608
PMCPMC13128627

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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.