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

Abstract Background Migrasomes, 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. Method...

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Published in:Discover Oncology
Main Authors: Zhen Zheng, Hui Liu, Quan Xu, Wei Cui, Kaitai Liu
Format: Article
Language:English
Published: Springer 2025-03-01
Subjects:
Online Access:https://doi.org/10.1007/s12672-025-02197-9
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author Zhen Zheng
Hui Liu
Quan Xu
Wei Cui
Kaitai Liu
author_facet Zhen Zheng
Hui Liu
Quan Xu
Wei Cui
Kaitai Liu
author_sort Zhen Zheng
collection DOAJ
container_title Discover Oncology
description Abstract Background Migrasomes, 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. Methods RNA-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. Results Nine 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. Conclusion Our 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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spelling doaj-art-dfd131fd7fbb40a6a3593c9beb5fe76b2025-08-20T01:45:09ZengSpringerDiscover Oncology2730-60112025-03-0116111510.1007/s12672-025-02197-9Comprehensive identification of a migrasomes-associated long non-coding RNA signature to predict the prognosis and treatment options in colon adenocarcinomaZhen Zheng0Hui Liu1Quan Xu2Wei Cui3Kaitai Liu4Department of Chemoradiation Oncology, The Affiliated Lihuili Hospital of Ningbo UniversityDepartment of Chemoradiation Oncology, The Affiliated Lihuili Hospital of Ningbo UniversityDepartment of Chemoradiation Oncology, The Affiliated Lihuili Hospital of Ningbo UniversityDepartment of Colorectal Surgery, The Affiliated Lihuili Hospital of Ningbo UniversityDepartment of Chemoradiation Oncology, The Affiliated Lihuili Hospital of Ningbo UniversityAbstract Background Migrasomes, 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. Methods RNA-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. Results Nine 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. Conclusion Our 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.https://doi.org/10.1007/s12672-025-02197-9Colon adenocarcinomaMigrasomeslncRNATumor-infiltrating immuneTumor mutation burden
spellingShingle Zhen Zheng
Hui Liu
Quan Xu
Wei Cui
Kaitai Liu
Comprehensive identification of a migrasomes-associated long non-coding RNA signature to predict the prognosis and treatment options in colon adenocarcinoma
Colon adenocarcinoma
Migrasomes
lncRNA
Tumor-infiltrating immune
Tumor mutation burden
title Comprehensive identification of a migrasomes-associated long non-coding RNA signature to predict the prognosis and treatment options in colon adenocarcinoma
title_full Comprehensive identification of a migrasomes-associated long non-coding RNA signature to predict the prognosis and treatment options in colon adenocarcinoma
title_fullStr Comprehensive identification of a migrasomes-associated long non-coding RNA signature to predict the prognosis and treatment options in colon adenocarcinoma
title_full_unstemmed Comprehensive identification of a migrasomes-associated long non-coding RNA signature to predict the prognosis and treatment options in colon adenocarcinoma
title_short Comprehensive identification of a migrasomes-associated long non-coding RNA signature to predict the prognosis and treatment options in colon adenocarcinoma
title_sort comprehensive identification of a migrasomes associated long non coding rna signature to predict the prognosis and treatment options in colon adenocarcinoma
topic Colon adenocarcinoma
Migrasomes
lncRNA
Tumor-infiltrating immune
Tumor mutation burden
url https://doi.org/10.1007/s12672-025-02197-9
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