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Related Concept Videos

Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...

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A Deep Learning Approach for Tracking Colorectal Cancer-Derived Extracellular Vesicles in Colon and Lung Models.

Giulia Chiabotto1,2, Bianca Dumontel1, Luca Zilli3

  • 1Department of Applied Science and Technology, Politecnico di Torino, Corso Duca degli Abruzzi 24, Turin 10129, Italy.

ACS Biomaterials Science & Engineering
|August 26, 2025
PubMed
Summary
This summary is machine-generated.

Colorectal cancer (CRC) cells release extracellular vesicles (EVs) that promote metastasis. A new deep learning method tracks these CRC-EVs, revealing their role in forming metastatic niches and initiating tumors.

Keywords:
2D and 3D modelscolorectal cancerdeep learning algorithmextracellular vesiclesmetastasis

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Area of Science:

  • Oncology
  • Biotechnology
  • Cell Biology

Background:

  • Colorectal cancer (CRC) is a leading cause of cancer-related deaths globally.
  • Metastatic CRC incidence is rising due to treatment resistance, with liver and lung metastases being primary causes of mortality.
  • Extracellular vesicles (EVs) mediate intercellular communication and are implicated in cancer progression and metastasis.

Purpose of the Study:

  • To investigate the role of CRC-derived EVs in metastasis.
  • To develop a deep learning approach for tracking CRC-EVs and quantifying their uptake and trafficking.
  • To assess the tropism of CRC-EVs towards healthy cells in 3D models.

Main Methods:

  • Development of a deep learning-based approach for tracking CRC-derived EVs.
  • In vitro tracking and quantification of EV uptake and trafficking in colon and lung models.
  • Analysis of CRC-EV tropism in biologically relevant 3D colon and lung tissue models.

Main Results:

  • The deep learning method enabled precise quantification of CRC-EV uptake and trafficking.
  • CRC-derived EVs demonstrated tropism towards heterologous healthy cells in 3D models.
  • These findings indicate a role for CRC-EVs in metastatic niche formation and tumor initiation.

Conclusions:

  • CRC-derived EVs play a significant role in metastatic niche formation and tumor initiation.
  • CRC-EVs hold potential as innovative diagnostic and prognostic biomarkers for CRC metastasis.
  • Targeting CRC-EVs may offer novel therapeutic strategies for managing CRC metastasis.