Methods for predicting effectiveness of chemotherapy for a breast cancer patient

    公开(公告)号:US10718030B2

    公开(公告)日:2020-07-21

    申请号:US15938331

    申请日:2018-03-28

    Applicant: GENCURIX INC.

    Abstract: The present invention relates to a method of predicting the effectiveness of chemotherapy in a breast cancer patient, and more particularly, to a method for predicting the effectiveness of chemotherapy by measuring the expression levels of genes for predicting prognosis of breast cancer and a standard gene in a biological sample obtained from the breast cancer patient, and a method for predicting the difference between a patient group having a high effectiveness of chemotherapy and a patient group having a low effectiveness of chemotherapy.Therefore, the method of the present invention can accurately predict the effectiveness of chemotherapy for the breast cancer patient, and can be used for the purpose of presenting clues about the direction of breast cancer treatment in the future.

    Methods for predicting the prognosis of breast cancer patient

    公开(公告)号:US11220716B2

    公开(公告)日:2022-01-11

    申请号:US15938633

    申请日:2018-03-28

    Applicant: GENCURIX INC.

    Abstract: The present invention relates to a method of predicting the effectiveness of chemotherapy in a breast cancer patient, and more particularly, to a method for predicting the effectiveness of chemotherapy by measuring the expression levels of genes for predicting prognosis of breast cancer and a standard gene in a biological sample obtained from the breast cancer patient, and a method for predicting the difference between a patient group having a high effectiveness of chemotherapy and a patient group having a low effectiveness of chemotherapy.
    Therefore, the method of the present invention can accurately predict the effectiveness of chemotherapy for the breast cancer patient and can be used for the purpose of presenting clues about the direction of breast cancer treatment in the future.

    Data processing, analysis method of gene expression data to identify endogenous reference genes

    公开(公告)号:US11107552B2

    公开(公告)日:2021-08-31

    申请号:US16129206

    申请日:2018-09-12

    Abstract: Disclosed are data processing and analysis methods for gene expression data for identifying endogenous reference genes and a composition for the quantitative analysis of gene expression, comprising a pair of primers and/or probes useful in amplifying the identified endogenous reference genes. Introduced with the concepts of “Zero's proportion” and CV, the method allows different datasets to be integrally analyzed, thereby searching for novel reference genes. By the method, 2,087 genes are first found as housekeeping genes which are expressed in most tissues, and the usefulness thereof in the relative quantification of different target genes is determined by analyzing their expression stability. Of the 2,087 genes, 13 genes show higher expression stability with lower expression levels across a wide range of samples than traditional reference genes such as GAPDH and ACTS, and therefore are suitable for the normalization of universal genes having relatively low expression levels.

    DATA PROCESSING, ANALYSIS METHOD OF GENE EXPRESSION DATA TO IDENTIFY ENDOGENOUS REFERENCE GENES

    公开(公告)号:US20190012429A1

    公开(公告)日:2019-01-10

    申请号:US16129206

    申请日:2018-09-12

    Abstract: Disclosed are data processing and analysis methods for gene expression data for identifying endogenous reference genes and a composition for the quantitative analysis of gene expression, comprising a pair of primers and/or probes useful in amplifying the identified endogenous reference genes. Introduced with the concepts of “Zero's proportion” and CV, the method allows different datasets to be integrally analyzed, thereby searching for novel reference genes. By the method, 2,087 genes are first found as housekeeping genes which are expressed in most tissues, and the usefulness thereof in the relative quantification of different target genes is determined by analyzing their expression stability. Of the 2,087 genes, 13 genes show higher expression stability with lower expression levels across a wide range of samples than traditional reference genes such as GAPDH and ACTS, and therefore are suitable for the normalization of universal genes having relatively low expression levels.

    Method for predicting prognosis of breast cancer patient

    公开(公告)号:US11840733B2

    公开(公告)日:2023-12-12

    申请号:US16462655

    申请日:2017-11-21

    Applicant: GENCURIX INC.

    CPC classification number: C12Q1/6886 C12Q2600/118 C12Q2600/158

    Abstract: The present invention relates to a method for predicting the prognosis of a breast cancer patient. More specifically, to provide information needed to predict the prognosis of a breast cancer patient, the method for predicting the prognosis of breast cancer including the following steps of the present invention comprises: (a) obtaining a biological sample from a breast cancer patient; (b) measuring the mRNA expression level of matrix metallopeptidase 11 (MMP11) and the mRNA expression level of cluster of differentiation 2 (CD2) from patient information or the sample of step (a); (c) normalizing the gene mRNA expression levels selected and measured in step (b); and (d) predicting the prognosis of breast cancer by combining the gene expression levels normalized in step (c), wherein overexpression of the MMP11 indicates a bad prognosis, and overexpression of CD2 indicates a good prognosis.
    The method of the present invention has an effect of being capable of more accurately predicting the future prognosis of metastasis, recurrence, or metastatic recurrence in breast cancer patients, and in particular, has a very excellent ability to predict the prognosis of HER2-type breast cancer, the prognosis of which is very poor, and thus can be usefully used to provide clues for the direction of future treatment of breast cancer.

    COMPOSITION USING CPG METHYLATION CHANGES IN SPECIFIC GENES TO DIAGNOSE BLADDER CANCER, AND USE THEREOF

    公开(公告)号:US20230084248A1

    公开(公告)日:2023-03-16

    申请号:US17795848

    申请日:2021-01-28

    Applicant: GENCURIX INC.

    Abstract: The present invention relates to a composition, a kit, a nucleic acid, and a method capable of diagnosing bladder cancer by detecting the methylation level of a CpG site of at least one gene selected from the group consisting of IFFO1, MARCH11, BARHL2, NR2E1, KCNA3, and BOLL. According to the present invention, since the hypermethylation of a CpG site of a gene is specifically exhibited in bladder cancer, a composition, a kit, a chip, or a method according to the present invention can be used to accurately and rapidly diagnose bladder cancer and to be used for early diagnosis and monitoring recurrence.

    DATA PROCESSING METHOD AND SYSTEM USING AUTOTHRESHOLDING

    公开(公告)号:US20220277812A1

    公开(公告)日:2022-09-01

    申请号:US17626795

    申请日:2020-07-10

    Abstract: A method for automatically calculating a threshold for classifying clusters from a reference data set and processing data by using same, and a system for performing same is included herein. A data processing method using auto-thresholding includes the steps of receiving, by a data processing system, as an input, a plurality of individual numerical values included in a reference data set having two or more clusters; on the basis of each of the numerical values included in the reference data set received as an input, calculating, by the data processing system, a threshold for classifying a cluster of the reference data set; and classifying, by the data processing system, into different clusters by using the threshold, each of at least one data set to be analyzed, having a plurality of individual numerical values.

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