Integrated characterization of hepatobiliary tumor organoids provides a potential landscape of pharmacogenomic

Yanjing Zhu1, Shijie Tang2, Qiuyue Yuan3

  • 1The International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Hospital, Shanghai 200438, China; National Center for Liver Cancer, Shanghai 200438, China.

Cell Reports. Medicine
|January 26, 2024
PubMed

Insights

Researchers cultured 64 patient-derived hepatobiliary tumor organoids (PDHOs), revealing over 32,000 genome-drug interactions. A RUNX1 mutation identified a specific drug sensitivity in liver cancer, advancing personalized medicine.

Area of Science:

  • Genomics
  • Cancer Biology
  • Drug Discovery

Background:

  • Translating multiomics data into druggable targets for liver cancer remains a significant challenge.
  • Identifying genomic alterations is crucial for developing effective liver cancer therapies.

Purpose of the Study:

  • To establish and characterize patient-derived hepatobiliary tumor organoids (PDHOs) for liver cancer research.
  • To integrate multiomics data with drug sensitivity profiles to uncover novel therapeutic strategies.
  • To identify specific genomic alterations linked to drug responses in liver cancer.

Main Methods:

  • Long-term culture of 64 patient-derived hepatobiliary tumor organoids (PDHOs) from a Chinese population.
  • Comprehensive multiomics profiling including whole genome, transcriptome, and chromatin accessibility.
  • Drug sensitivity screening against metabolism- and epigenetics-related chemicals and anti-cancer drugs.

Main Results:

  • Observed divergent responses to 265 chemicals and 36 anti-cancer drugs across PDHOs.
  • Defined over 32,000 genome-drug interactions by integrating multiomics and drug sensitivity data.
  • Identified RUNX1 promoter mutation associated with increased chromatin accessibility, gene expression, and sensitivity to specific drugs.

Conclusions:

  • The study provides an annotated PDHO biobank for human liver cancer research.
  • A systematic approach for understanding liver cancer gene-regulatory networks and advancing personalized medicine was suggested.
  • RUNX1 alterations represent a potential biomarker for targeted therapy selection in hepatobiliary tumors.

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