Molecular targeted drugs, comprehensive classification and preclinical models for the implementation of precision

Shu Shimada1, Shinji Tanaka2

  • 1Department of Molecular Oncology, Graduate School of Medicine, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8519, Japan.

Insights

Hepatocellular carcinoma (HCC) subtypes identified through genomic analysis correlate with treatment response. This classification and associated mouse models can guide the development of targeted therapies and predictive biomarkers for HCC.

Area of Science:

  • Oncology
  • Genomics
  • Translational Medicine

Background:

  • Hepatocellular carcinoma (HCC) is a heterogeneous cancer with high mortality.
  • Advanced HCC treatments show promise, but predicting patient response to targeted therapies remains difficult.
  • HCC lacks specific druggable targets, hindering genome-based treatment strategies.

Purpose of the Study:

  • To classify HCC based on integrated genomic and transcriptomic data.
  • To explore the correlation between HCC subtypes and response to molecular targeted drugs.
  • To evaluate the utility of preclinical models in understanding HCC subtype-specific therapies.

Main Methods:

  • Integrated genomic and transcriptomic analysis of HCC.
  • Classification of HCC into proliferative, CTNNB1-mutated, and metabolic disease-associated subtypes.
  • Utilizing immunocompetent mouse models (hydrodynamic tail vein injection, syngeneic models) to study HCC subtypes and treatment efficacy.

Main Results:

  • HCC can be categorized into three distinct molecular subtypes.
  • These subtypes exhibit unique molecular and immunological characteristics.
  • A strong correlation exists between HCC subtypes and response to molecular targeted drugs.

Conclusions:

  • Consensus classification of HCC subtypes is crucial for personalized medicine.
  • Preclinical models accurately reflect HCC subtypes and tumor microenvironments.
  • Subtype-specific therapies and predictive biomarkers can be developed using this classification and models.

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