Organoids glimpse: the nexus for diverse tumor heterogeneity

Jinyang Xu1, Qiushi Feng1, Yangyang Xia1

  • 1Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology and National Center for Stomatology and National Clinical Research Center for Oral Diseases and National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing, China.

Insights

Patient-derived organoids (PDOs) model tumor heterogeneity for personalized cancer therapy. These models help understand treatment resistance and guide future therapeutic strategies by linking heterogeneity maps to mechanisms.

Area of Science:

  • Oncology
  • Genomics
  • Biotechnology

Background:

  • Tumor heterogeneity (intratumor, intertumor, temporal) complicates cancer treatment and personalization.
  • This heterogeneity arises from complex genetic, epigenetic, transcriptional, and microenvironmental interactions.
  • Patient-derived organoids (PDOs) are emerging as powerful tools to study this complexity.

Purpose of the Study:

  • To review recent evidence on PDOs and their integration with multi-omics and functional perturbations.
  • To synthesize how PDOs can dissect tumor heterogeneity across different axes (intratumoral, intertumoral, temporal).
  • To propose a research framework utilizing PDOs for mechanism-informed therapeutic strategies.

Main Methods:

  • Review of studies integrating PDO culture with multi-omics profiling.
  • Analysis of functional perturbations and longitudinal sampling in PDO models.
  • Examination of PDO panels across intratumoral, intertumoral, and temporal dimensions.

Main Results:

  • PDO panels resolve niche-linked states and behavioral programs within tumors.
  • Intertumoral PDO panels reveal reproducible drug vulnerabilities and enable stratification.
  • Longitudinal PDOs reconstruct treatment-induced state transitions and resistance trajectories.

Conclusions:

  • PDOs are valuable for dissecting tumor heterogeneity and understanding treatment response.
  • Key limitations include incomplete microenvironmental context and mapping ex vivo to in vivo outcomes.
  • A cooperative multi-model research ecology with PDOs as central workhorses is proposed.

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