Clonal evolution of long-term expanding head and neck cancer organoid: Impact on treatment response for personalized

Sung Yong Choi1, Joonho Shim2, Do-Eon Gu3

  • 1Department of Otorhinolaryngology-Head and Neck Surgery, National Cancer Center, Goyang, Republic of Korea.

Oral Oncology
|September 23, 2023
PubMed
Abstract

Insights

Patient-derived organoids (PDO) are crucial for cancer research, but their genetic stability over time is key. This study shows head and neck cancer organoids (HNCOs) largely maintain genetic profiles but evolve clonally, impacting treatment sensitivity.

Area of Science:

  • Oncology
  • Genetics
  • Biobanking

Background:

  • Patient-derived organoids (PDO) are vital for cancer research, yet their genetic stability during biobanking is crucial for clinical relevance.
  • Limited data exists on the mutational heterogeneity and clonal evolution of PDOs and their impact on treatment response.

Purpose of the Study:

  • To assess the genetic stability of head and neck cancer organoids (HNCOs) compared to parental tumors.
  • To investigate clonal evolution in HNCOs during long-term passaging.
  • To determine the effect of clonal evolution on therapeutic response to drugs and radiation.

Main Methods:

  • Established 27 head and neck cancer organoid (HNCO) lines from 39 patients using 3D ex vivo culture.
  • Performed targeted sequencing of 377 cancer-related genes.
  • Utilized a sub-clonal fraction model and generated dose-response curves for drug and radiation sensitivity across early and late passages.

Main Results:

  • Achieved a 70% success rate in establishing HNCO lines with high mutational concordance to parental tumors.
  • Observed clonal evolution in many HNCO lines during serial passaging, while major cancer driver genes remained consistent.
  • Found that late-passage HNCOs exhibited increased sensitivity to radiation and drugs compared to early passages.

Conclusions:

  • Successfully established and characterized HNCO lines, demonstrating high genetic concordance with primary tumors.
  • Documented serial genetic changes in HNCOs during extended culture and their influence on radiotherapy response.
  • Highlighted the importance of considering clonal evolution in PDOs for accurate treatment response prediction.

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