Dataset of High-Resolution Micro-CT Imaging of Tumor Invasion and Metastasis in a Murine Esophageal Cancer PDX Model
Authors/Creators
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Tkachev, Sergey
(Data collector)1
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Brosalov, Vladimir
(Researcher)2
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Kit, Oleg
(Researcher)3
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Maksimov, Alexey
(Researcher)3
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Goncharova, Anna
(Researcher)3
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Sadyrin, Evgeniy
(Data collector)4
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Dalina, Alexandra
(Researcher)5
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Popova, Elena
(Researcher)6
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Osipenko, Anton
(Researcher)7
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Voloshin, Mark
(Researcher)8
- et al. Show all 12 authors
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Tkachev, Sergey
(Data collector)1
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Brosalov, Vladimir
(Researcher)2
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Kit, Oleg
(Researcher)3
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Maksimov, Alexey
(Researcher)3
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Goncharova, Anna
(Researcher)3
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Sadyrin, Evgeniy
(Data collector)4
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Dalina, Alexandra
(Researcher)5
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Popova, Elena
(Researcher)6
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Osipenko, Anton
(Researcher)7
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Voloshin, Mark
(Researcher)8
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Karnaukhov, Nikolai
(Researcher)8, 9
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Timashev, Peter
(Researcher)1
- 1. Institute for Regenerative Medicine, Sechenov University, Moscow, Russia
- 2. Penza State University, Penza, Russia
- 3. National Medical Research Centre for Oncology, Rostov-on-Don, Russia
- 4. Don State Technical University, Rostov-on-Don, Russia
- 5. The Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
- 6. Federal Research and Clinical Center of Specialized Medical Care and Medical Technologies, Moscow, Rus-sia
- 7. Department of Pharmacology, Siberian State Medical University, Tomsk, Russia;
- 8. A.S. Loginov Moscow Clinical Scientific Center; Moscow, Russia
- 9. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
Description
This dataset features high-resolution micro-CT imaging data capturing the progression of tumor invasion and metastasis in an orthotopic patient-derived xenograft (PDX) model of esophageal cancer. Using contrast-enhanced micro-CT, we visualized detailed patterns of tumor invasion, including budding, multicellular streaming, and expansive growth, across multiple abdominal organs such as the stomach, pancreas, liver, and spleen. The dataset includes two specimens, highlighting both the primary tumor site and extensive metastases throughout the abdominal cavity. Our imaging preserved the native tissue architecture, providing a unique three-dimensional view of tumor-host interactions. This collection offers valuable insights for researchers studying the dynamics of esophageal cancer invasion and metastasis. Detailed descriptions of the micro-CT scanning parameters, image analysis, and sample preparation are provided within the dataset archive.