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Updated: Sep 27, 2025

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
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DrugCVar: a platform for evidence-based drug annotation for genetic variants in cancer

Xiaolong Zhang1, Zhikai Qian1, Ye Wang1

  • 1State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.

Bioinformatics (Oxford, England)
|April 15, 2022
PubMed
Abstract

Insights

DrugCVar is a new database that integrates cancer variant-drug targeting evidence. It provides comprehensive annotation for interpreting potential drugs for cancer variants, aiding precision medicine.

Area of Science:

  • Genomics
  • Bioinformatics
  • Precision Medicine

Background:

  • Targeted cancer therapy relies on identifying genetic variants.
  • Existing databases have limited and varied clinical evidence for cancer variants.
  • A comprehensive resource for variant-drug targeting is needed.

Purpose of the Study:

  • To develop DrugCVar, a database integrating manually curated and public cancer variant-drug targeting evidence.
  • To provide a comprehensive annotation tool for interpreting potential drugs for cancer variants.

Main Methods:

  • Integrated 7830 clinical evidence items for cancer variant-drug targeting.
  • Classified evidence into 10 tiers.
  • Developed searching, browsing, and batch annotation functionalities.

Main Results:

  • DrugCVar integrates manually curated and public data for cancer variant-drug targeting.
  • The database offers 7830 classified clinical evidence items.
  • Includes functionalities for querying, batch annotation, and detailed variant information.

Conclusions:

  • DrugCVar serves as a comprehensive tool for interpreting potential drugs for cancer variants.
  • Facilitates precision medicine by providing accessible variant-drug targeting evidence.
  • Aids in analyzing massive genetic variants from cancer genomics studies.

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