Development of a novel angiogenesis-associated gene model for prognosis prediction in colorectal cancer

The expression of angiogenesis-associated genes affects the development of colorectal cancer (CRC). In this study, we aimed to develop and evaluate a method to predict survival outcomes in patients with CRC. We investigated the expression of CRC angiogenesis-associated genes using various public databases and identified diverse molecular subtypes. We built an angiogenesis-associated prediction model to forecast patient survival in CRC using the least absolute shrinkage and selection operator and multifactorial COX regression and confirmed its reliable predictive ability. The model accurately reflected tumor microsatellite status, immune cell infiltration, and mutation burden. In addition, the model was significantly correlated with drug sensitivity; thus, it can guide the personalized treatment of tumors. Finally, the status of some prognosis-related genes was verified in clinical samples. This study identified angiogenesis-associated molecular subtypes of CRC and constructed a prognostic model. This signature may provide a new basis for clinical judgment of patient prognosis and personalized therapy.

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Publication Details

Journal
BMC Cancer
Published
2025-10-22
DOI
https://doi.org/10.1186/s12885-025-15088-7
Primary Topic
Cancer, Lipids, and Metabolism
Type
article
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article

Development of a novel angiogenesis-associated gene model for prognosis prediction in colorectal cancer

Yuanruohan Zhang, Tianli Yuan, Tianshang Bao, Cheng Zhang et al.
BMC Cancer
Cancer, Lipids, and Metabolism
article

Development of a novel angiogenesis-associated gene model for prognosis prediction in colorectal cancer

Yuanruohan Zhang, Tianli Yuan, Tianshang Bao, Cheng Zhang, Yuguang Shen, Jian Tang
article en

Abstract

The expression of angiogenesis-associated genes affects the development of colorectal cancer (CRC). In this study, we aimed to develop and evaluate a method to predict survival outcomes in patients with CRC. We investigated the expression of CRC angiogenesis-associated genes using various public databases and identified diverse molecular subtypes. We built an angiogenesis-associated prediction model to forecast patient survival in CRC using the least absolute shrinkage and selection operator and multifactorial COX regression and confirmed its reliable predictive ability. The model accurately reflected tumor microsatellite status, immune cell infiltration, and mutation burden. In addition, the model was significantly correlated with drug sensitivity; thus, it can guide the personalized treatment of tumors. Finally, the status of some prognosis-related genes was verified in clinical samples. This study identified angiogenesis-associated molecular subtypes of CRC and constructed a prognostic model. This signature may provide a new basis for clinical judgment of patient prognosis and personalized therapy.

BMC CancerVol. 25(1)
Renji Hospital (CN)
Openalex Percentile: Top 63%
Cancer, Lipids, and Metabolism
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