Biomarker for diagnosis of hepatoma and use thereof
A technology of biomarkers and markers, applied in the direction of measuring devices, instruments, scientific instruments, etc., can solve the problems of low-accuracy screening and inspection, and achieve the effect of reducing medical expenses
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Embodiment 1
[0093] Embodiment 1: Clinical sample information used in the present invention
[0094] This experiment was carried out in accordance with the protocol approved by the Seoul National University Medical Research Ethics Review Committee, and written consent based on sufficient explanation was obtained from each patient, and the clinical information is shown below.
[0095] In order to select a marker candidate group and to select a protein candidate group showing expression differences from pooling samples of normal people and liver cancer patients, 60 normal people (male / female=41 / 19) and 60 liver cancer patients were used. A sample of people (male / female=42 / 18) was studied. In fact, in order to apply and analyze individual samples, 30 patients with liver cirrhosis, 30 patients with liver cancer before treatment, and 30 patients who recovered from liver cancer after treatment were used in the primary sample group, and 50 patients with liver cirrhosis were used in the secondary ...
Embodiment 2
[0096] Embodiment 2: Data Mining for Selecting Target Candidate Groups
[0097] Target candidate populations were selected as follows. A candidate group of protein markers for early diagnosis of liver cancer is secured using the Liver Atlas database, which is the most comprehensive resource currently associated with liver diseases. There are a total of 50,265 proteins known to be associated with liver diseases in the Liver Atlas database. In order to select only the proteins that can be detected from the blood, only the proteins that can be secreted are screened. A total of 1,683 proteins were selected as a result of proteins in blood or possibly secreted (Uniprot database (protein database) standard). Finally, in order to select only the proteins that can be detected by the mass analyzer, four different peptide MS / MS library sources (NIST Ion-Trap, NIST Q-TOF, ISB human plasma (human plasma), Home made library (domestic library)) to select only proteins with peptide MS / MS d...
Embodiment 3
[0098] Example 3: Derivation of target candidate populations by MRM analysis
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