ArticleDiscover oncology2025
Comprehensive identification of a migrasomes-associated long non-coding RNA signature to predict the prognosis and treatment options in colon adenocarcinoma.
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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Who cites it
5 citing papers in PubMed.
- Migrasomes program tissue microenvironment: from physiology to oncology, future perspectives in clinical advances.Journal of the National Cancer Center · 2026Review
- Development and validation of an interpretable machine learning model for predicting 5-year recurrence in breast cancer.Frontiers in medicine · 2026Article
- AC067930.4/miR-375 Axis Regulates the Malignant Progression of Colon Adenocarcinoma Through the Cuproptosis-Related GeneCancer management and research · 2026Article
- Construction of a risk and prognostic model for migrasome-associated lncRNAs in renal cell carcinoma.Scientific reports · 2025Article
- The lncrna HMMR-AS1 promotes the malignant progression of ovarian cancer cells by regulating the miR-627-3p/PTN axis.Journal of ovarian research · 2025Article
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Authors and funding
5 authors.
Funding
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.
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