Evidence map›Paper›PMID 40146487›Full record

ArticleDiscover oncology2025

Comprehensive identification of a migrasomes-associated long non-coding RNA signature to predict the prognosis and treatment options in colon adenocarcinoma.

Zhen Zheng, Hui Liu, Quan Xu, Wei Cui, Kaitai Liu

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Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Zhen Zheng *Department of Chemoradiation Oncology, The Affiliated Lihuili Hospital of Ningbo University, 57 Xingning Road, Ningbo, 315000, Zhejiang, China.
Hui Liu *Department of Chemoradiation Oncology, The Affiliated Lihuili Hospital of Ningbo University, 57 Xingning Road, Ningbo, 315000, Zhejiang, China.
Quan XuDepartment of Chemoradiation Oncology, The Affiliated Lihuili Hospital of Ningbo University, 57 Xingning Road, Ningbo, 315000, Zhejiang, China.
Wei CuiDepartment of Colorectal Surgery, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, Zhejiang, China.
Kaitai LiuDepartment of Chemoradiation Oncology, The Affiliated Lihuili Hospital of Ningbo University, 57 Xingning Road, Ningbo, 315000, Zhejiang, China. lkt1982@126.com.

Funding

The Medical Science and Technology Project of Zhejiang Provincial Health Commission 2023KY243The Ningbo Natural Science Foundation 2021J292The Project of NINGBO Leading Medical & Health Discipline 2022-F01
6 · The paper itself

Abstract

backgroundMigrasomes, recently discovered cellular substructures, may play a crucial role in cancer progression, treatment response, and prognosis. However, the prognostic value of migrasome-associated long non-coding RNAs (lncRNAs) in colon adenocarcinoma (COAD) remains unexplored.

methodsRNA-seq data from 459 COAD patients, including clinical characteristics and outcome information, were obtained from The Cancer Genome Atlas. A risk model was constructed through co-expression analysis of migrasome genes and lncRNAs, followed by Cox regression and least absolute shrinkage and selection operator analysis to identify prognostic lncRNAs. Functional enrichment analyses were performed to elucidate underlying biological mechanisms. Immune landscape characterization utilized ESTIMATE, CIBERSORT, Tumor Immune Estimation Resource (TIME), and single-sample Gene Set Enrichment Analysis (ssGSEA). Drug sensitivity analysis was conducted for select therapeutic agents.

resultsNine prognostic lncRNAs (AC010463.3, AL590483.4, AP005264.1, ZEB1-AS1, AC104088.1, PRKAR1B-AS2, AC009315.1, SUCLG2-AS1, and AC006111.2) were identified and incorporated into a risk model. Low-risk patients demonstrated significantly improved survival outcomes. The model exhibited independent prognostic capability, with AUCs of 0.783, 0.749, and 0.713 for one-, three-, and five-year survival, respectively, in the training cohort. High-risk patients displayed reduced overall survival and elevated tumor mutation burden. Additionally, these patients showed decreased sensitivity to therapeutic agents, including Oxaliplatin, Irinotecan, and 5-Fluorouracil.

conclusionOur novel migrasome-associated lncRNA signature demonstrates robust predictive capacity for both prognosis and chemotherapeutic sensitivity in COAD, potentially facilitating personalized treatment strategies and improved patient management.

Indexed as

Colon adenocarcinomalncRNAMigrasomesTumor-infiltrating immuneTumor mutation burden

Identifiers

PMID40146487
PMCPMC11950624

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