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Research Institute

Developing First-in-Class Anticancer Drug Based on Predictive Biomarker

We have pre-eminent researchers and advanced facilities that enable us to develop novel anti-cancer drugs.
Our research center is comprised of Target discovery department, Drug discovery department,
Medicinal chemistry department and CMC department.
80% of our company employees are R&D experts and they conduct new drug development all in-house.

  • Drug Discovery Department

  • Drug Discovery Department

  • Drug Discovery Department

  • Drug Discovery Department

  • Target Discovery Department Biomarker Center

  • Drug Discovery Department, Target Discovery Department

  • Target Discovery Department

  • Drug Discovery Department Animal Research Center

  • Drug Discovery Department Animal Research Center

  • Medicinal Chemistry Department

  • Medicinal Chemistry Department

  • Medicinal Chemistry Department LC-MS/MS

  • Medicinal Chemistry Department NMR

  • Medicinal Chemistry Department CADD

  • CMC Department

  • CMC Department

  • CMC Department

  • CMC Department

  • CMC Department

  • CMC Department

  • CMC Department

  • CMC Department

Core Technology

Optimized Approach for Drug Development

Our company is unique in that we develop Predictive Biomarkers that could foresee the patient’s drug efficacy before administration. By developing biomarker for each pipeline we can shorten the lead time, reduce the cost of developing first-in-class drugs and deliver world-class personalized medicines for unmet medical needs.

The conventional therapy which pursues “one-size-fits-all” approach have limitations in that it develops and administers the same therapy to a multiple cancer patients without considering their biological status or biomarker(gene type, DNA, protein etc.). As a result, certain patients often times do not respond to the anticancer drug.

Predictive Biomarkers Play a Pivotal Role in Developing Novel Drugs

Predictive biomarkers allow us to predict whether the anticancer drug will show efficacy to specific patient groups before administrating the treatment. Based on patient’s tissue samples and blood samples, we analyze their biomarkers through the studies of genomics, transcriptomics, protein analysis, metabolite analysis, and so forth.

The Biomarker Market is Growing Steadily

According to the “Biomarker Deals: Terms, Value and Trends 2008-2018” report, the global biomarker market is projected to reach $57.6 billion in 2016 and $150 billion by 2023. Likewise, various cancer types require adequate treatments and the demand for biomarker-based anticancer drugs are continuously increasing(BBC Research, 2019).

Biomarker-based Anticancer Drugs Improve the Success Rate of Developing Novel Drugs

According to the data result of US Bio Association on clinical trial success rates from 2006 to 2015, the percentage of getting the FDA approval of novel drugs without biomarkers from phase 1 was 8.4% while with biomarkers it was 25.9%. The likelihood of approval is said to be 3 times higher (BIO, 2016) with biomarker.

In the case of one-size-fits-all approach, drugs have been developed universally without considering patient’s biological status. Therefore, the drug efficacy is about 50%, and many patients experience side effects of the drug(BioINdustry, 2017). However, biomarkers can reduce the side effects through accurate and rapid identification of treatment responses, which can provide safe treatment for patients. Likewise, biomarkers play an important role in realizing precision medicine.

[Reference]

01
BBC Research. (2019). Biomarker Deals: Terms, Value and Trends, 2008-2018.
02
안지영. (2019). Biomarker(바이오마커) 산업 현황.
03
Biotech Policy Research Center. (2018). Global Precision Medical Market Status and Outlook.
Available at: https://www.bioin.or.kr/board.do?num=282740&cmd=view&bid=watch

The Significance of Biomarker in Predicting Therapeutic Responses

  • Selects patient groups that could respond well to the drug

    Realizes the precision medicine

  • Conducts more efficient clinical trials

    Predicts patient's medical response

    Quickly determines the extent of drug toxicity

  • Reduces drug development time and cost

    Minimizes risk of development failure

    Increases the likelihood of successful drug development