gdsc

is a Data Source.

The Genomics of Drug Sensitivity in Cancer (GDSC) is a database and resource that characterizes cancer cell lines and their responses to anti-cancer drugs. It contains drug screening data for over 1000 cancer cell lines with hundreds of compounds, as well as genomic feature data such as mutations, copy number variations, methylation, and gene expression. The aim is to identify molecular features of cancers that predict response to anti-cancer drugs.

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Infores ID

infores:gdsc

FAIRsharing ID

Unknown

Product Summary

Contacts

Genomics of Drug Sensitivity in Cancer Project

URL: https://www.sanger.ac.uk/tool/gdsc-genomics-drug-sensitivity-cancer/

Wellcome Sanger Institute

URL: https://www.sanger.ac.uk/

Massachusetts General Hospital Cancer Center

URL: http://www.massgeneral.org/cancer/

Publications

Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells Preferred

A landscape of pharmacogenomic interactions in cancer

Systematic identification of genomic markers of drug sensitivity in cancer cells

Products

From this Resource

ID	Name	URL	Category	Format	Description
gdsc.site	GDSC Web Interface	gdsc-genomics-drug-sensitivity-cancer	GraphicalInterface	http	Web interface for searching and brows...

From other Resources

ID	Name	URL	Category	Format	Relation	Description
spoke.graph	SPOKE Graph	data-tools	GraphProduct	http	had primary source	The SPOKE knowledge graph containing ...
bioteque.embeddings	Bioteque Embeddings	embeddings	Product	mixed	had primary source	Network embeddings of the Bioteque gr...
pharmacodb.portal	PharmacoDB Web Application	pharmacodb.ca	GraphicalInterface	http	was influenced by	Primary web portal for searching and ...
pharmacodb.api	PharmacoDB API	graphql	ProgrammingInterface	http	was influenced by	GraphQL API providing programmatic ac...
pharmacodb.documentation	PharmacoDB Documentation	documentation	DocumentationProduct	http	was influenced by	Comprehensive user documentation cove...
depmap.drug_sensitivity	DepMap Drug Sensitivity Data	data_page	Product	csv	was derived from	Drug screening data from various plat...
harmonizome.downloads	Harmonizome Downloads	download	Product	mixed	was derived from	Harmonizome 3.0 processed dataset dow...
harmonizome.kg-neo4j	Harmonizome Knowledge Graph Neo4j Database	harmonizome-kg.maayanlab.cloud	GraphProduct	neo4j	was derived from	Neo4j knowledge graph serialization o...
spoke-okn.graph	SPOKE-OKN Graph	spoke.ucsf.edu	GraphProduct	ttl	was influenced by	The SPOKE-OKN knowledge graph, an OKN...

Relevant Taxa

Human (NCBITaxon:9606)

Details

Overview

The Genomics of Drug Sensitivity in Cancer (GDSC) is a major collaboration between the Cancer Genome Project at the Wellcome Sanger Institute (UK) and the Center for Molecular Therapeutics at Massachusetts General Hospital Cancer Center (USA). The project aims to discover therapeutic biomarkers that can help identify patients most likely to respond to different anti-cancer drugs.

Features

Drug sensitivity data for over 1000 human cancer cell lines
Screening results for hundreds of anti-cancer compounds
Comprehensive genomic characterization of cell lines
Statistical associations between genomic features and drug sensitivity
Web interface for browsing and analyzing data
Download options for all datasets
Regular updates with new data releases

Data Content

GDSC contains several key types of data:

Drug screening data: IC50 values and dose-response curves for cancer cell lines treated with different compounds
Genomic features: Mutations, copy number variations, gene expression, and methylation data for cancer cell lines
Statistical analyses: ANOVA results showing associations between genomic features and drug responses
Annotations: Detailed information about cell lines and compounds

History

The GDSC database was established as part of the Cancer Genome Project at the Wellcome Sanger Institute. The first major publication describing the resource was released in 2012, with subsequent updates expanding the dataset and refining the analytical methods. The current version (Release 8.5, October 2023) includes data for 970 cell lines in GDSC1 and 969 cell lines in GDSC2, with a total of over 576,000 dose-response curves.