Evidence map›Paper›PMID 41970573›Full record

ArticleBiomedical optics express2026

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

Irina Druzhkova, Anna Orlova, Pavel Subochev, Alexey Kurnikov, Anna Glyavina, Alina Isakova, Ekaterina Kukovyakina, Ekaterina Plotnikova, Marine Gasparian, Anastasia Komarova and 8 more

Abstract read
In one paragraph

Article in Biomedical optics express, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Irina DruzhkovaPrivolzhsky Research Medical University, 603081 Nizhny Novgorod, Russia.ORCID https://orcid.org/0000-0003-0293-3069
Anna OrlovaA.V. Gaponov-Grekhov Institute of Applied Physics of the Russian Academy of Sciences, 603950 Nizhny Novgorod, Russia.
Pavel SubochevA.V. Gaponov-Grekhov Institute of Applied Physics of the Russian Academy of Sciences, 603950 Nizhny Novgorod, Russia.
Alexey KurnikovA.V. Gaponov-Grekhov Institute of Applied Physics of the Russian Academy of Sciences, 603950 Nizhny Novgorod, Russia.ORCID https://orcid.org/0000-0003-2121-2101
Anna GlyavinaA.V. Gaponov-Grekhov Institute of Applied Physics of the Russian Academy of Sciences, 603950 Nizhny Novgorod, Russia.
Alina IsakovaFaculty of Biology, Lomonosov Moscow State University, 119234 Moscow, Russia.
Ekaterina KukovyakinaShemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, 117997 Moscow, Russia.
Ekaterina PlotnikovaShemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, 117997 Moscow, Russia.
Marine GasparianShemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, 117997 Moscow, Russia.
Anastasia KomarovaPrivolzhsky Research Medical University, 603081 Nizhny Novgorod, Russia.
Snezhana SinyushkinaPrivolzhsky Research Medical University, 603081 Nizhny Novgorod, Russia.
Arseniy PotapovPrivolzhsky Research Medical University, 603081 Nizhny Novgorod, Russia.ORCID https://orcid.org/0000-0003-4343-2500
Ruslan SpashchanskiiPrivolzhsky Research Medical University, 603081 Nizhny Novgorod, Russia.
Anastasia AninaPrivolzhsky Research Medical University, 603081 Nizhny Novgorod, Russia.
Mikhail KirpichnikovFaculty of Biology, Lomonosov Moscow State University, 119234 Moscow, Russia.
Dmitry DolgikhFaculty of Biology, Lomonosov Moscow State University, 119234 Moscow, Russia.
Daniel RazanskyInstitute of Pharmacology and Toxicology and Institute for Biomedical Engineering, Faculty of Medicine, University of Zurich, Switzerland.ORCID https://orcid.org/0000-0001-8676-0964
Anne YagolovichFaculty of Biology, Lomonosov Moscow State University, 119234 Moscow, Russia.ORCID https://orcid.org/0000-0003-3145-3726

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID41970573
PMCPMC13064617

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.