Qualitative support is provided for the long-standing hypothesis that vascular architecture and its biomechanical properties constrain metastatic seeding in the brain and identifies arterial border-zones as sites of elevated vulnerability to metastatic invasion.
Abstract
Primary cancer cells that originate in diverse tissues in the body can spread to the brain through various physiological pathways and form metastatic tumors. The spatial patterning of brain metastases is highly stereotyped across individuals, but the physiological factors that confer regional vulnerability to tumor colonization are poorly understood. Here we map the brain metastases associated with primary breast cancer, lung cancer, and malignant melanoma to the multiscale organization of the brain. We analyze structural magnetic resonance imaging (MRI) data from more than 2, 300 cancer patients with approximately 10, 000 brain metastases to estimate metastatic frequency maps. We then examine whether transcriptional (microarray profiling), functional (functional MRI), and vascular (arterial spin labeling) features can predict the spatial pattern of each brain metastasis type. Our analyses highlight vascular anatomy as an integral determinant of metastatic patterning, particularly in breast and lung cancers. We find arterial border-zones as sites of elevated vulnerability to metastatic invasion. These areas, characterized by slow flow and small-caliber vessels, create a hemodynamic environment that favors the arrest and extravasation of circulating tumor cells. Together, these results provide quantitative support for the long-standing hypothesis that vascular architecture and its biomechanical properties constrain metastatic seeding in the brain. Identifying vascular topology as a key determinant of metastatic patterning suggests that systemic vascular and metabolic factors may contribute to metastatic risk.
It is demonstrated that BM actively disrupt myelin homeostasis and neural signaling within surrounding brain tissue, and this ex-vivo platform provides a robust experimental system to study tumor–brain interactions and to evaluate therapeutic strategies aimed at limiting tumor-induced neurological damage.
Y. Zohdy, Arman Jahangiri, Amelia Tong et al.· Neuro-Oncology Advances· 0 citations
Brain metastases exhibit tumour-type specific metabolic reprogramming to adapt to the brain microenvironment highlighting distinct metabolic survival strategies compared to GBM, and supporting the need for tumour-specific treatment strategies.
Ishana Rajgopal, Bryan P. Marzullo, Sana Manan et al.· Neuro-Oncology· 0 citations
A comprehensive cerebrovascular cell atlas encompassing 314,535 transcriptomes is constructed that captures the arteriovenous axis and defines consensus cell states and identifies ensemble-specific susceptibilities and candidate therapeutic targets across neurological diseases, including small vessel disease and stroke...
Jerry C. Wang, Damian A Sanchez, Santhosh Arul et al.· Cell· 1 citation
Overall, lung cancer brain metastasis is best viewed as a multilayered adaptive process involving tumor cell states, the brain vasculature, glial and immune microenvironments, metabolism, and neural signaling.
Yu-Jie Xuan, Ya-Bin Gong· Journal of Artificial Intell...· 0 citations
In this surgically managed RCC BM cohort, brain metastases from mRCC demonstrate nonrandom spatial distribution, with overrepresentation in posterior circulation and posterior cerebral artery territories.
Jia-Zhang Xing, Ardit Feinaj, Zsombor Ritter et al.· Journal of Neuro-Oncology· 0 citations
A deeper understanding of the brain metastatic ecosystem may enable the development of more effective, biology-driven therapeutic approaches for NSCLC BM.
Marcel Kemper, Lea Reitnauer, A. Leonetti et al.· Cancer Biome and Targeted Th...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.