Development of a non-invasive risk classification diagnostic model for neuroblastoma based on microRNAs

LI Hengquan, ZHANG Mengxin, ZHANG Pin, ZHANG Fei, ZHANG Xianwei, ZHANG Wancun

Journal of Hunan Normal University(Medical Science) ›› 2025, Vol. 22 ›› Issue (4) : 23-29.

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Journal of Hunan Normal University(Medical Science) ›› 2025, Vol. 22 ›› Issue (4) : 23-29.
Clinical Medicine

Development of a non-invasive risk classification diagnostic model for neuroblastoma based on microRNAs

  • LI Hengquan, ZHANG Mengxin, ZHANG Pin, ZHANG Fei, ZHANG Xianwei, ZHANG Wancun
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Abstract

Objective To establish a non-invasive risk classification diagnostic model for neuroblastoma (NB) by utilizing plasma-free microRNAs (miRNAs) as detection targets. Methods Based on transcriptomics technology, the abnormal expression of miRNAs between high-risk and medium-low-risk NB tissues was systematically screened. Key miRNAs for NB risk classification were further identified at the plasma level. Subsequently, a non-invasive risk classification diagnostic model was established using logistic regression analysis based on these key miRNAs. The diagnostic efficiency of the model was evaluated by analyzing the receiver operating characteristic (ROC) curve. Results A total of 19 miRNAs with abnormal expression in high-risk NB tissues were screened based on transcriptomics technology, and three key miRNAs for NB risk classification (miR-488-3p, miR-514a-3p, miR-887-3p) were further confirmed at the NB plasma level. Finally, based on logistic regression analysis, a non-invasive risk classification diagnostic model at the NB plasma level was established: Y=2.639-1.827×X1(miR-488-3p) + 1.201×X2(miR-514a-3p) - 1.484×X3(miR-887-3p). The sensitivity and specificity of this model for NB risk classification were 84.00% and 95.56%, respectively. Conclusion The model developed in this study is anticipated to offer a novel and effective strategy for NB risk classification.

Key words

neuroblastoma / miRNAs / risk classification / diagnostic model / circulating tumor RNA

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LI Hengquan, ZHANG Mengxin, ZHANG Pin, ZHANG Fei, ZHANG Xianwei, ZHANG Wancun. Development of a non-invasive risk classification diagnostic model for neuroblastoma based on microRNAs[J]. Journal of Hunan Normal University(Medical Science). 2025, 22(4): 23-29

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