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Related Experiment Video

Updated: Jan 10, 2026

Author Spotlight: Exploring Strategies for Successful Immune Response Against Tumors

Author Spotlight: Exploring Strategies for Successful Immune Response Against Tumors

Published on: August 16, 2024

Harnessing Single-Cell RNA-Seq for Computational Drug Repurposing in Cancer Immunotherapy.

Olivia J Cheng^1,2, T T T Tran^2,3, Y Ann Chen^2,3

¹Department of Oncological Sciences, School of Medicine, University of Utah, Salt Lake City, UT 84112, USA.

Pharmaceuticals (Basel, Switzerland)

|November 27, 2025

Summary

This study explores using single-cell RNA sequencing (scRNA-seq) with computational drug repurposing to find new cancer therapies. These methods aim to improve response rates for immune checkpoint inhibitors (ICIs) in difficult-to-treat cancers.

Keywords:

combination therapies immune checkpoint inhibitors immunotherapy single-cell RNA sequencing tumor microenvironment

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Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization

Published on: October 3, 2025

Area of Science:

Oncology
Computational Biology
Genomics

Background:

Immune checkpoint inhibitors (ICIs) have transformed cancer treatment but have limited efficacy in certain cancers like esophageal cancer.
Tumor microenvironment heterogeneity and patient variability contribute to low ICI response rates, necessitating novel therapeutic strategies.
Drug repurposing offers an efficient alternative to de novo drug development for identifying combination therapies to overcome ICI resistance.

Purpose of the Study:

To review computational drug repurposing tools that utilize single-cell RNA sequencing (scRNA-seq) data.
To apply scRNA-seq-based tools (scDrug and scDrugPrio) to an esophageal squamous cell carcinoma dataset.
To identify potential drug candidates for combination therapy to enhance ICI treatment response.

Main Methods:

Leveraging scRNA-seq data for precise targeting of cancer cells and the tumor microenvironment.
Utilizing scDrug tool for predicting tumor cell-specific cytotoxicity.
Employing scDrugPrio tool to prioritize drugs by reversing gene signatures associated with ICI non-responsiveness.

Main Results:

Demonstrated the application of scDrug and scDrugPrio on an esophageal squamous cell carcinoma dataset.
Identified potential drug candidates for combination with ICI therapy.
Highlighted the utility of scRNA-seq in computational drug repurposing for enhancing ICI efficacy.

Conclusions:

Computational drug repurposing using scRNA-seq data is a promising strategy to improve ICI response rates.
A multi-faceted approach combining different computational tools enhances drug repurposing effectiveness.
Future research should explore multi-omics and spatial transcriptomics for personalized drug discovery in ICI therapy.