Evidence map›Paper›PMID 41381760›Full record

ArticleScientific reports2025

A novel migrasome-associated lncRNA model for clear cell renal cell carcinoma prognosis and immune response prediction.

Linlin Zhang, Longxin Dong, Tengzheng Tian, Jing Liu, Haozhe Zhang, Weitao Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

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1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Linlin ZhangDepartment of Urology, The Second Affiliated Hospital of Shandong First Medical University, Tai'an, 271000, China.
Longxin DongDepartment of Urology, The Second Affiliated Hospital of Shandong First Medical University, Tai'an, 271000, China.
Tengzheng TianDepartment of Urology, The Second Affiliated Hospital of Shandong First Medical University, Tai'an, 271000, China.
Jing LiuDepartment of Public Health, The Second Affiliated Hospital of Shandong First Medical University, Tai'an, 271000, China.
Haozhe ZhangDepartment of Urology, The Second Affiliated Hospital of Shandong First Medical University, Tai'an, 271000, China.
Weitao ZhangDepartment of Urology, The Second Affiliated Hospital of Shandong First Medical University, Tai'an, 271000, China. SDFMUzwt@163.com.

Funding

the Science and Technology Innovation Development Project of Tai'an City, Shandong Province, China (Policy Guidance category) 2022NS202
6 · The paper itself

Abstract

The most common kind of kidney cancer, clear cell renal cell carcinoma (ccRCC), presents challenges in clinical management and prognosis. Although the roles of long non-coding RNAs (lncRNAs) and migrasomes in tumorigenesis and tumor development have gradually attracted attention, there is currently relatively little research on migrasomes in ccRCC. The objective of this research was to construct a migrasome-associated lncRNAs model and assess its predictive value for immune reactions and survival outcomes in patients with ccRCC. First, the Cancer Genome Atlas (TCGA) database was utilized to acquire transcriptome data and clinical information pertaining to ccRCC. Using this data, Pearson correlation identified migrasome-associated lncRNAs, and Cox regression analysis was utilized to build a prognostic model. Subsequently, the model's utility was validated against clinical characteristics from multiple perspectives. Enrichment results, immune infiltration analysis, Tumor Mutational Burden (TMB), and Tumor Immune Dysfunction and Exclusion (TIDE) analysis delineated differences in the tumor immune microenvironment. Quantitative real-time polymerase chain reaction (qPCR) confirmed the expression of key lncRNAs in the model. Finally, a interference plasmid for UBE2Q1-AS1 was constructed and transfected into 786-O cells. The CCK-8 assay and Transwell assay were then used to verify its effects on cell proliferation and migration. A prognostic model incorporating 12 migrasome-associated lncRNAs with independent prognostic value was developed, demonstrating robust predictive power across various clinical features. Enrichment and immune infiltration analyses revealed significant disparities in immune responses between groups. TMB and TIDE analyses indicated that high TMB groups had lower survival rates compared to low TMB groups, and TIDE scores were greater for high-risk groups than for low-risk groups. Additionally, the quantities of expression for migrasome-associated lncRNAs were validated in human ccRCC cell line. Cell experiments revealed that interference of UBE2Q1-AS1 significantly inhibited the proliferation and migration of 786-O cells. The migrasome-associated lncRNA model accurately predicts ccRCC patient prognosis, offering new insights for immunotherapy and clinical applications.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsOrganellesCell Line, TumorGene Expression ProfilingHumansImmunityModels, BiologicalNeoplasm MetastasisPrincipal Component AnalysisPrognosisRNA, Long NoncodingRNA, Long NoncodingClear cell renal cell carcinomaLncRNAsMigrasomePrognostic model

Identifiers

PMID41381760
PMCPMC12804687

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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.