Dissecting phenotypic responses of the druggable targetome in cancers

Euna Jeong1, Choa Park2, Sung Ung Moon1

  • 1Research Institute of Women's Health, Sookmyung Women's University, Seoul, 04310, Republic of Korea.

Scientific Reports
|August 31, 2019
PubMed

Insights

This study analyzed the anticancer effects of druggable genes using 2D and 3D cell culture models. Gene knockdown impacts varied by assay, revealing complex responses in cancer cell proliferation and viability.

Area of Science:

  • Cancer Biology
  • Genomics
  • Drug Discovery

Background:

  • Existing cancer cell line screening data are limited by assay variability, hindering integrated analysis.
  • Understanding the phenotypic outcomes of targeting druggable genes is crucial for cancer therapy development.

Purpose of the Study:

  • To systematically analyze the anticancer effects of targeting the druggable human targetome.
  • To investigate how different assay conditions (2D vs. 3D) and readouts affect observed gene functions.
  • To correlate gene functions with microenvironmental differences and understand phenotypic plasticity.

Main Methods:

  • Screened a library of siRNAs targeting approximately 4,800 druggable genes in cancer cell lines.
  • Utilized both 2D monolayer and 3D sphere formation assay conditions.
  • Simultaneously measured cell proliferation and viability as phenotypic readouts.

Main Results:

  • Hit rates and observed gene effects significantly varied based on assay conditions and readouts.
  • Functional gene classes showed distinct correlations with the 2D and 3D microenvironments.
  • Gene knockdown targeting proliferation often increased surviving cell viability and self-renewal potential.

Conclusions:

  • Parallel 2D/3D assays and multiplexed readouts provide deeper functional insights into the cancer targetome.
  • The study highlights the importance of considering assay context when interpreting gene function in cancer.
  • Findings offer a framework for understanding complex phenotypic responses to gene modulation in cancer.

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