Evidence map›Paper›PMID 40529029›Full record

ArticleTranslational andrology and urology2025

Migrasome-related lncRNAs predict prognosis and immune response of clear cell renal cell carcinoma.

Rong Chen, Lei Dong, Tianci Wei, Qiang Wang

Abstract read
In one paragraph

Article in Translational andrology and urology, 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

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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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

4 authors.

Rong ChenDepartment of Graduate, Hebei North University, Zhangjiakou, China.
Lei DongDepartment of Graduate, Hebei North University, Zhangjiakou, China.
Tianci WeiDepartment of Graduate, Hebei North University, Zhangjiakou, China.
Qiang WangDepartment of Graduate, Hebei North University, Zhangjiakou, China.ORCID https://orcid.org/0000-0002-7603-6646

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Clear cell renal cell carcinoma (ccRCC) is the most common and aggressive renal malignancy. Migrasomes, newly discovered organelles involved in intercellular communication, and long non-coding RNAs (lncRNAs) are emerging regulators of cancer progression. However, the role of migrasome-associated lncRNAs in ccRCC prognosis and immune response remains unclear. This study aimed to investigate the value of migrasome-related lncRNAs and develop a risk model for ccRCC. Methods: By employing data from The Cancer Genome Atlas, we were able to identify prognostically significant migrasome-related lncRNAs through co-expression analysis, Cox regression, and least absolute shrinkage and selection operator (LASSO) regression. Prognostic models were developed and validated using these lncRNAs, and a nomogram combining the risk score with clinical features was constructed. Furthermore, our analyses encompassed gene set enrichment, immune infiltration, mutational burden, and drug sensitivity. Results: A prognostic model incorporating 13 lncRNAs effectively stratified patients into distinct risk categories, with the high-risk cohort demonstrating markedly inferior survival rates. The prognostic accuracy was validated through multiple analyses. Gene enrichment analysis revealed a correlation between these lncRNAs and tumor development and immune pathways. High-risk patients exhibited increased immunosuppressive cell infiltration, oncogenic mutations, and potential for immune escape. Furthermore, they demonstrated a lack of response to immunotherapy and exhibited differential responses to antineoplastic agents when compared to low-risk patients. We propose a prognostic model for ccRCC based on migrasome-related lncRNAs, providing new insights into disease progression and potential individualized treatment strategies. Conclusions: Our study proposes a prognostic model for ccRCC based on migrasome-related lncRNAs, providing new insights into disease progression and potential individualized treatment strategies.

Indexed as

clear cell renal cell carcinoma (ccRCC)drug sensitivityimmuneMigrasomeprognosis

Identifiers

PMID40529029
PMCPMC12170270

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