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BMC Med Genomics. 2018 Apr 20;11(Suppl 2):34. doi: 10.1186/s12920-018-0347-9.

An integrated clinical and genomic information system for cancer precision medicine.

Author information

1
Ewha Research Center for Systems Biology (ERCSB), Ewha Womans University, Seoul, Korea.
2
Interdisciplinary Program in Bioinformatics, College of Natural Science, Seoul National University, Seoul, Korea.
3
Daumsoft, Inc., Seoul, Korea.
4
DNA Link, Inc., Seoul, Korea.
5
Ewha Research Center for Systems Biology (ERCSB), Ewha Womans University, Seoul, Korea. sanghyuk@ewha.ac.kr.

Abstract

BACKGROUND:

Increasing affordability of next-generation sequencing (NGS) has created an opportunity for realizing genomically-informed personalized cancer therapy as a path to precision oncology. However, the complex nature of genomic information presents a huge challenge for clinicians in interpreting the patient's genomic alterations and selecting the optimum approved or investigational therapy. An elaborate and practical information system is urgently needed to support clinical decision as well as to test clinical hypotheses quickly.

RESULTS:

Here, we present an integrated clinical and genomic information system (CGIS) based on NGS data analyses. Major components include modules for handling clinical data, NGS data processing, variant annotation and prioritization, drug-target-pathway analysis, and population cohort explorer. We built a comprehensive knowledgebase of genes, variants, drugs by collecting annotated information from public and in-house resources. Structured reports for molecular pathology are generated using standardized terminology in order to help clinicians interpret genomic variants and utilize them for targeted cancer therapy. We also implemented many features useful for testing hypotheses to develop prognostic markers from mutation and gene expression data.

CONCLUSIONS:

Our CGIS software is an attempt to provide useful information for both clinicians and scientists who want to explore genomic information for precision oncology.

KEYWORDS:

Cancer; Genomic medicine; Information system; Oncology; Personalized medicine; Precision medicine; Targeted therapy

PMID:
29697362
PMCID:
PMC5918454
DOI:
10.1186/s12920-018-0347-9
[Indexed for MEDLINE]
Free PMC Article

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