Mechanisms, Imaging Phenotypes, and Therapeutic Advances of Neovascularization in Brain Metastases

Brain metastases have a distinctive vascular ecosystem-shaped by sprouting angiogenesis, vessel co-option, vasculogenic mimicry, and tumor cell transdifferentiation-that governs tumor perfusion, drug exposure, and therapeutic responsiveness. These heterogeneous vascularization patterns exhibit characteristic differences in enhancement morphology, perfusion levels, and metabolic uptake on contrast-enhanced MRI, perfusion imaging, and amino acid PET, providing crucial imaging cues for identifying routes of blood supply, inferring the state of the blood-tumor barrier, and guiding individualized therapeutic strategies. Anti-VEGF therapy is primarily used to alleviate cerebral edema and radiation necrosis, yet it confers limited survival benefit, underscoring the spatiotemporal heterogeneity of the blood-tumor barrier and the persistence of non-classical vascularization pathways. Building on the concept of "vascular normalization," combinations of anti-angiogenic therapy with immunotherapy, radiotherapy, or targeted agents have shown encouraging intracranial activity in selected settings-most robustly in melanoma brain metastases-but remain insufficiently validated in randomized, brain-metastasis-focused trials. By integrating mechanistic, imaging, and therapeutic perspectives, this review outlines how vascular-ecosystem-based stratification and physics-informed drug-delivery strategies may help transition anti-vascular therapy from symptomatic control toward mechanism-driven precision intervention.

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Publication Details

Journal
Biomedicines
Published
2026-01-07
DOI
https://doi.org/10.3390/biomedicines14010119
Primary Topic
Brain Metastases and Treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

Mechanisms, Imaging Phenotypes, and Therapeutic Advances of Neovascularization in Brain Metastases

X C Zhang, Siheng Liu, Huantong Diao, Jie Tang et al.
Biomedicines
Brain Metastases and Treatment
article

Mechanisms, Imaging Phenotypes, and Therapeutic Advances of Neovascularization in Brain Metastases

X C Zhang, Siheng Liu, Huantong Diao, Jie Tang, Lixin Xu, Ye Cheng, Bingyang Shan, Yiming Zhang, Liguo Ye
article en

Abstract

Brain metastases have a distinctive vascular ecosystem-shaped by sprouting angiogenesis, vessel co-option, vasculogenic mimicry, and tumor cell transdifferentiation-that governs tumor perfusion, drug exposure, and therapeutic responsiveness. These heterogeneous vascularization patterns exhibit characteristic differences in enhancement morphology, perfusion levels, and metabolic uptake on contrast-enhanced MRI, perfusion imaging, and amino acid PET, providing crucial imaging cues for identifying routes of blood supply, inferring the state of the blood-tumor barrier, and guiding individualized therapeutic strategies. Anti-VEGF therapy is primarily used to alleviate cerebral edema and radiation necrosis, yet it confers limited survival benefit, underscoring the spatiotemporal heterogeneity of the blood-tumor barrier and the persistence of non-classical vascularization pathways. Building on the concept of "vascular normalization," combinations of anti-angiogenic therapy with immunotherapy, radiotherapy, or targeted agents have shown encouraging intracranial activity in selected settings-most robustly in melanoma brain metastases-but remain insufficiently validated in randomized, brain-metastasis-focused trials. By integrating mechanistic, imaging, and therapeutic perspectives, this review outlines how vascular-ecosystem-based stratification and physics-informed drug-delivery strategies may help transition anti-vascular therapy from symptomatic control toward mechanism-driven precision intervention.

BiomedicinesVol. 14(1)
Capital Medical University (CN), National Alliance on Mental Illness (US)
National Natural Science Foundation of China
Openalex Percentile: Top 96%
Brain Metastases and Treatment
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Mechanisms, Imaging Phenotypes, and Therapeutic Advances of Neovascularization in Brain Metastases — X C Zhang, Siheng Liu, et al. · Biomedicines (2026) | TGRS Research Map | TGRS