Gencurix Inc

Korea Institute of Science and Technology

Logone Bio Convergence Research Foundation

Young Ho Moon

Young Kee Shin

Sang Rae Cho

Jin Il Han

Seon Ho Kim

Jee Eun Kim

Woon Dong Yeo

Jae Woo Kang

Kang Hoe Kim

Myungsun Kim

Jin Ju Kim

Sung Su Kim

Jong Heun Lee

Myung Sun Kim

Sang Rea Cho

Hyunjeung Choi

Hyun Jeung Choi

Bohyun Byun

Joon Seok Choi

Jae Min Lee

The present invention relates to a method for determining the DNA quality of a biological sample and, more specifically, to a method for determining the DNA quality of a biological sample by performing a quantitative polymerase chain reaction (PCR) using primers capable of amplifying a target gene, a method for preparing the primers used in the method, and a method for standardizing the amount of detected target gene mutation by using the determined DNA quality. The method of the present invention enables objective evaluation of the DNA quality of a biological sample used in gene analysis and the presentation of objective results on the expression ratio of a gene mutation, thereby providing reliable information in the fields of clinical research and companion diagnosis.

Method for determining nucleic acid quality of biological sample

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.

Method for predicting prognosis of breast cancer patient

The present invention relates to a composition for detecting an epidermal cell growth factor receptor gene mutation and to a kit comprising the composition and, more specifically, to a primer and probe set composition for detecting an epidermal cell growth factor gene mutation, and to a kit for detecting an EGFR gene mutation, comprising the composition. A method according to the present invention can not only predict and diagnose responsiveness to a therapeutic agent for the prognosis of a cancer patient, but also predict a cancer metastasis or relapse Thus, the method can be useful for the purposes of determining the need to administer an anticancer therapeutic agent and guiding the direction of future treatment, and for monitoring a cancer metastasis or relapse.

Composition for detecting epidermal cell growth factor receptor gene mutation, and kit comprising same

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

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 effectiveness of chemotherapy for a breast cancer patient

A method of evaluating a value of reference information and an apparatus for evaluating a value of reference information are disclosed. According to an embodiment of the present invention, the method includes calculating similarity values of reference relationships between the subject document and each of neighbor documents, respectively, and summing the calculated similarity values to calculate a first sum, multiplying each of the similarity values of reference relationships between the subject document and each of the neighbor documents by a corresponding value of reference information of the first reference document for each of the neighbor documents, and summing the multiplied values to calculate a second sum, and evaluating a value of reference information using a ratio of the first and second sums.

Method of evaluating value for referenced information and apparatus thereof

A method for providing information about a main knowledge stream is disclosed. According to an embodiment of the present invention, the method includes obtaining reference links representing reference relationships among reference documents in each of a plurality of documents stored in a database, determining one or more basic paths connecting the reference links, calculating probability values of the reference links by overlapping the determined basic paths, determining a first document among the documents and an input reference link associated with the first document, and performing a Markov chain model using a probability value of the input reference link, and calculating information about the main knowledge stream associated with the first document using the result obtained by performing the Markov chain model.

Method of providing information of main knowledge stream and apparatus for providing information of main knowledge stream

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Seoul, South Korea

Young Ho Moon