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Updated: Oct 4, 2025

Utilizing Functional Genomics Screening to Identify Potentially Novel Drug Targets in Cancer Cell Spheroid Cultures
Published on: December 26, 2016
The Cancer Surfaceome Atlas integrates genomic, functional and drug response data to identify actionable targets
Zhongyi Hu1,2, Jiao Yuan1,2, Meixiao Long3
1Center for Research on Reproduction & Women's Health, University of Pennsylvania, Philadelphia, PA, USA.
Abstract:
Cell-surface proteins (SPs) are a rich source of immune and targeted therapies. By systematically integrating single-cell and bulk genomics, functional studies and target actionability, in the present study we comprehensively identify and annotate genes encoding SPs (GESPs) pan-cancer. We characterize GESP expression patterns, recurrent genomic alterations, essentiality, receptor-ligand interactions and therapeutic potential. We also find that mRNA expression of GESPs is cancer-type specific and positively correlates with protein expression, and that certain GESP subgroups function as common or specific essential genes for tumor cell growth. We also predict receptor-ligand interactions substantially deregulated in cancer and, using systems biology approaches, we identify cancer-specific GESPs with therapeutic potential. We have made this resource available through the Cancer Surfaceome Atlas ( http://fcgportal.org/TCSA ) within the Functional Cancer Genome data portal.
Insights
This study identifies and annotates all genes encoding cell-surface proteins (GESPs) across cancers. These GESPs show cancer-specific expression and hold potential for targeted cancer therapies.
Area of Science:
- Oncology
- Genomics
- Immunology
Background:
- Cell-surface proteins (SPs) are crucial targets for cancer immunotherapies and targeted treatments.
- Comprehensive identification and characterization of SPs are needed for advancing cancer therapeutics.
Purpose of the Study:
- To systematically identify and annotate genes encoding cell-surface proteins (GESPs) pan-cancer.
- To characterize their expression patterns, genomic alterations, essentiality, and therapeutic potential.
Main Methods:
- Integration of single-cell and bulk genomics data.
- Functional studies and target actionability assessments.
- Systems biology approaches for predicting receptor-ligand interactions.
Main Results:
- GESP mRNA expression is cancer-type specific and correlates with protein levels.
- Certain GESP subgroups are essential for tumor cell growth.
- Identified deregulated receptor-ligand interactions and cancer-specific GESPs with therapeutic potential.
Conclusions:
- This pan-cancer GESP resource provides valuable insights into cancer biology and therapeutic strategies.
- The Cancer Surfaceome Atlas offers a platform for exploring these critical cancer targets.
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