Assessment of the angiogenic potential of xenografted tumors by biomedical imaging techniques

Tumor angiogenesis promotes tumor growth, metastasis and disease progression. Different cancer types vary in their angiogenic potential, which may influence prognosis and response to therapy. In the present work, we established xenograft models of three of the most aggressive types of human cancers: glioblastoma U87MG, gastric cancer MKN-45, and pancreatic cancer MIA PaCa-2, in immunodeficient mice. The study of vascular network by optoacoustic microangiography revealed the highest degree of vascularization in U87MG xenografts, and the lowest in MIA PaCa-2 xenografts. As shown by PAS–CD31 dual staining, U87MG-derived tumors also showed the highest expression of the endothelial marker CD31 as well as the highest vasculogenic mimicry capacity. In line with this, metabolic imaging by fluorescence Lifetime Imaging Microscopy (FLIM) of nicotinamide adenine dinucleotide (NADH) revealed that MIA PaCa-2 xenografts were the most glycolytic, whereas U87MG had higher levels of oxidative phosphorylation, and MKN-45 showed intermediate values. Therefore, when creating animal models with xenografted tumors, it is important to understand the angiogenic potential of cancer cells, especially for studying drug candidates with an antiangiogenic effect. Also, the combination of optoacoustics and immunohistochemical analysis with FLIM imaging allows for a comprehensive assessment of both vascularization and the metabolic state of the tumor, which can help predict the therapeutic response.

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Publication Details

Journal
Biomedical Optics Express
Published
2025-12-03
DOI
https://doi.org/10.1364/boe.577775
Primary Topic
Photoacoustic and Ultrasonic Imaging
Type
article
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article

Assessment of the angiogenic potential of xenografted tumors by biomedical imaging techniques

Д. А. Долгих, Anne V. Yagolovich, Arseniy L. Potapov, Alina A. Isakova et al.
Biomedical Optics Express
Photoacoustic and Ultrasonic Imaging
article

Assessment of the angiogenic potential of xenografted tumors by biomedical imaging techniques

Д. А. Долгих, Anne V. Yagolovich, Arseniy L. Potapov, Alina A. Isakova, Marine E. Gasparian, Anna Orlova, М. П. Кирпичников, Pavel Subochev, Snezhana D Sinyushkina, Е. А. Плотникова, Anastasia D. Komarova, Irina Druzhkova, Alexey Kurnikov, Daniel Razansky, Ekaterina V. Kukovyakina, Anastasia A. Anina, Anna Glyavina, Ruslan Spashchanskii
article en

Abstract

Tumor angiogenesis promotes tumor growth, metastasis and disease progression. Different cancer types vary in their angiogenic potential, which may influence prognosis and response to therapy. In the present work, we established xenograft models of three of the most aggressive types of human cancers: glioblastoma U87MG, gastric cancer MKN-45, and pancreatic cancer MIA PaCa-2, in immunodeficient mice. The study of vascular network by optoacoustic microangiography revealed the highest degree of vascularization in U87MG xenografts, and the lowest in MIA PaCa-2 xenografts. As shown by PAS–CD31 dual staining, U87MG-derived tumors also showed the highest expression of the endothelial marker CD31 as well as the highest vasculogenic mimicry capacity. In line with this, metabolic imaging by fluorescence Lifetime Imaging Microscopy (FLIM) of nicotinamide adenine dinucleotide (NADH) revealed that MIA PaCa-2 xenografts were the most glycolytic, whereas U87MG had higher levels of oxidative phosphorylation, and MKN-45 showed intermediate values. Therefore, when creating animal models with xenografted tumors, it is important to understand the angiogenic potential of cancer cells, especially for studying drug candidates with an antiangiogenic effect. Also, the combination of optoacoustics and immunohistochemical analysis with FLIM imaging allows for a comprehensive assessment of both vascularization and the metabolic state of the tumor, which can help predict the therapeutic response.

Biomedical Optics ExpressVol. 17(3)
Privolzhsky Research Medical University (RU), Russian Academy of Sciences (RU), Lomonosov Moscow State University (RU), Ministry of Health (ES), Institute of Bioorganic Chemistry (RU), P.A. Hertzen Moscow Oncology Research Institute (RU), Moscow State University (TJ)
Openalex Percentile: Top 63%
Photoacoustic and Ultrasonic Imaging
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