Related Experiment Video
Updated: Jan 23, 2026

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
Published on: October 3, 2025
vulcanSpot: a tool to prioritize therapeutic vulnerabilities in cancer
Javier Perales-Patón1, Tomás Di Domenico1, Coral Fustero-Torre1
1Bioinformatics Unit, Spanish National Cancer Research Centre (CNIO), Madrid 28029, Spain.
Motivation:
Genetic alterations lead to tumor progression and cell survival but also uncover cancer-specific vulnerabilities on gene dependencies that can be therapeutically exploited.
Results:
vulcanSpot is a novel computational approach implemented to expand the therapeutic options in cancer beyond known-driver genes unlocking alternative ways to target undruggable genes. The method integrates genome-wide information provided by massive screening experiments to detect genetic vulnerabilities associated to tumors. Then, vulcanSpot prioritizes drugs to target cancer-specific gene dependencies using a weighted scoring system based on well known drug-gene relationships and drug repositioning strategies.
Availability And Implementation:
http://www.vulcanspot.org.
Supplementary Information:
Supplementary data are available at Bioinformatics online.
Insights
This study introduces vulcanSpot, a computational tool identifying cancer vulnerabilities to target previously undruggable genes. It expands therapeutic options by uncovering new gene dependencies for cancer treatment.
Area of Science:
- Computational biology
- Cancer genomics
- Drug discovery
Background:
- Genetic alterations drive tumor progression and survival.
- These alterations can create cancer-specific vulnerabilities in gene dependencies.
- Targeting these vulnerabilities offers therapeutic opportunities.
Purpose of the Study:
- To introduce vulcanSpot, a novel computational approach.
- To expand therapeutic options for cancer treatment beyond known driver genes.
- To identify and target undruggable genes through alternative pathways.
Main Methods:
- Integrates genome-wide data from massive screening experiments.
- Detects genetic vulnerabilities associated with tumors.
- Prioritizes drugs using a weighted scoring system based on drug-gene relationships and repositioning strategies.
Main Results:
- vulcanSpot identifies novel cancer-specific gene dependencies.
- The approach facilitates the targeting of previously undruggable genes.
- It expands the landscape of potential cancer therapeutics.
Conclusions:
- vulcanSpot offers a new computational strategy for cancer therapy.
- It enhances the ability to exploit tumor-specific vulnerabilities.
- The tool broadens therapeutic options by targeting gene dependencies.
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