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OKAIN: A comprehensive oncology knowledge base for the interpretation of clinically actionable alterations

Zhenhua Yang1, Chunwei Xu2, Mingmin Wang1

  • 1Department of Medical, Shanghai OrigiMed Co, Ltd, Shanghai, 201114, People's Republic of China.

Open Medicine (Warsaw, Poland)
|November 11, 2025
PubMed

Insights

OKAIN is a new algorithm tool that analyzes genetic variations for precision oncology. It identifies clinically actionable mutations and therapeutic options, aiding in cancer treatment decisions.

Area of Science:

  • Genomics
  • Bioinformatics
  • Oncology

Background:

  • Next-generation sequencing (NGS) in clinical genetic testing identifies numerous genetic variations with therapeutic potential.
  • Assessing the clinical actionability of these variations is crucial for personalized cancer treatment.

Purpose of the Study:

  • To introduce OKAIN, an algorithm tool and precision oncology knowledge base.
  • To assess clinically actionable mutations using a comprehensive database of cancer-associated genomic variants and therapeutic efficacy.

Main Methods:

  • Development of the OKAIN algorithm tool (https://szcube.origimed.com).
  • Utilized a weighted evidence analysis system for clinical annotation of genetic variations.
  • Integrated a precision oncology knowledge database with over 100,000 variants and 12,409 therapeutic evidence entries.

Main Results:

  • OKAIN database contains variants in 1,239 cancer-associated genes.
  • Includes 12,409 therapeutic evidence entries across 471 genes, with 2,600 Level A evidence entries in 66 genes.
  • 864 entries are derived from National Medical Products Administration labels or Chinese guidelines.

Conclusions:

  • OKAIN serves as a precision oncology knowledge base for evaluating clinically actionable alterations.
  • Facilitates the identification of targeted therapy or immunotherapy options for patients.
  • Aims to improve cancer treatment outcomes through enhanced variant analysis.
Keywords:
classification systemgenomic alterationsprecision oncologytumor knowledge baseweighted evidence analysis

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