Re-defining synthetic lethality by phenotypic profiling for precision oncology

Yevhen Akimov1, Tero Aittokallio2

  • 1Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.

Cell Chemical Biology
|February 25, 2021
PubMed

Insights

High-throughput screening advances synthetic lethality (SL) discovery for cancer drugs. New methods identify selective SL interactions and exploit tumor heterogeneity for precision oncology, offering novel therapeutic strategies.

Area of Science:

  • Genomics
  • Cancer Biology
  • Drug Discovery

Background:

  • High-throughput screening enables systematic phenotypic discovery.
  • Synthetic lethality (SL) is a key paradigm for anticancer drug and target discovery.
  • Identifying therapeutically relevant SL interactions presents significant challenges.

Purpose of the Study:

  • To explore how high-throughput screening can identify selective synthetic lethality interactions.
  • To introduce an extended concept of SL for anticancer applications.
  • To discuss computational quantification and exploitation of tumor heterogeneity for precision oncology.

Main Methods:

  • Utilizing high-throughput functional and genomic screening techniques.
  • Applying synthetic lethality as a model for drug and target discovery.
  • Investigating computational quantification of synergistic interactions and cancer selectivity.

Main Results:

  • Screening technologies offer new possibilities for identifying therapeutically relevant SL interactions.
  • An extended concept of SL, involving simultaneous perturbation, is proposed for anticancer applications.
  • Tumoral heterogeneity can be leveraged for phenotype-specific SL interactions in precision oncology.

Conclusions:

  • High-throughput screening methods provide exciting opportunities for discovering novel SL interactions.
  • The extended SL concept and computational approaches enhance potential for anticancer drug development.
  • Exploiting tumoral heterogeneity via screening advances precision oncology and subclonal SL interaction identification.