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Related Experiment Video

Updated: Oct 25, 2025

Establishment and Histological Analysis of Esophageal Organoids Modeling the Progression from Normal to Cancerous Tissues
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Delineating the longitudinal tumor evolution using organoid models.

Zhaolian Lu1, Beina Nie1, Weiwei Zhai2

  • 1CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.

Journal of Genetics and Genomics = Yi Chuan Xue Bao
|August 9, 2021
PubMed
Summary

Cancer evolves through genetic changes. Studying tumor evolution using patient-derived organoids offers new insights into cancer dynamics and treatment strategies.

Keywords:
Genomic sequencingLongitudinal samplingOrganoidsTumor evolutionTumor heterogeneityTumor microenvironment

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Area of Science:

  • Oncology
  • Evolutionary Biology
  • Genomics

Background:

  • Cancer is an evolutionary process driven by genetic and epigenetic alterations.
  • Understanding tumor evolution is crucial for early detection, diagnosis, and treatment.
  • Limited ability to repeatedly sample patient tumors hinders the study of cancer evolution over time.

Purpose of the Study:

  • To review progress and challenges in cancer genomic evolution studies.
  • To highlight the advantages of using 3D organoid models for studying cancer evolution.
  • To propose a novel experimental model for studying cancer evolutionary dynamics.

Main Methods:

  • Review of recent advancements in cancer genomic evolution research.
  • Utilizing patient-derived 3D organoid cultures as realistic cancer models.
  • Establishing an experimental evolution model with continuous organoid passages and longitudinal sampling.

Main Results:

  • 3D organoid cultures provide realistic in vitro models mimicking in vivo tumor characteristics.
  • Proposed model allows for longitudinal study of clonal dynamics and evolutionary patterns.
  • Integration of population genetics and computational models with time-course genomic data.

Conclusions:

  • Tumor organoids offer a powerful platform for studying cancer evolution.
  • The proposed experimental model can reveal key cellular mechanisms driving cancer dynamics.
  • This approach may yield novel therapeutic strategies for dynamic and heterogeneous tumors.