Development of a predictive model for radiation pneumonitis based on plasma exosomal miR-200b-5p

The combination of lung V5 >46.36%, MLD >1120 cGy, and miR-200b-5p expression <0.445 can be used to effectively predict the occurrence of SRP in locally advanced NSCLC patients. This model can aid in the early identification of patients at high risk for RP, allowing for personalized treatment adjustments and improved patient outcomes.

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Publication Details

Journal
Frontiers in Oncology
Published
2025-08-20
DOI
https://doi.org/10.3389/fonc.2025.1516348
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
0.00
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article

Development of a predictive model for radiation pneumonitis based on plasma exosomal miR-200b-5p

Yuetong Li, Shuwei Zhai, Liang Xu, Haihua Yang et al.
Frontiers in Oncology
Extracellular vesicles in disease
article

Development of a predictive model for radiation pneumonitis based on plasma exosomal miR-200b-5p

Yuetong Li, Shuwei Zhai, Liang Xu, Haihua Yang, Xiaoye Wang, Huaiyu Wang, Qianfei Zhao, Yajun Emily Zhu, Shuhao Que, Enhui Dai, Wei Feng
article en

Abstract

The combination of lung V5 >46.36%, MLD >1120 cGy, and miR-200b-5p expression <0.445 can be used to effectively predict the occurrence of SRP in locally advanced NSCLC patients. This model can aid in the early identification of patients at high risk for RP, allowing for personalized treatment adjustments and improved patient outcomes.

Frontiers in OncologyVol. 15
Wenzhou Medical University (CN), Zhejiang Cancer Hospital (CN), The First People's Hospital of Changzhou (CN), Cancer Hospital of Chinese Academy of Medical Sciences (CN), Taizhou University (CN)
Openalex Percentile: Top 81%
Extracellular vesicles in disease
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Development of a predictive model for radiation pneumonitis based on plasma exosomal miR-200b-5p — Yuetong Li, Shuwei Zhai, et al. · Frontiers in Oncology (2025) | TGRS Research Map | TGRS