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.

Abstract: The present invention relates to a gene for predicting or diagnosing the prognosis of early-stage breast cancer and to a use thereof, and more specifically relates to a genetic marker for predicting or diagnosing the prognosis of breast cancer, including TRBC1 (T cell receptor beta constant 1), BTN3A2 (butyrophilin, subfamily 3, member A2) or HLA-DPA1 (major histocompatibility complex, class II, DP alpha 1) for providing information necessary for predicting or diagnosing the prognosis of a breast cancer patient. The genetic marker of the present invention allows the prediction or diagnosis of the prognosis of a breast cancer patient, and can therefore advantageously be used for the purpose of providing a direction as to the future course of breast cancer treatment, including a decision on whether anticancer therapy is necessary.

Abstract: The present invention relates to a method for selecting a gene intended to predict the prognosis for a cancer, to the selected gene for predicting the prognosis of cancer and to a kit for predicting and a method for predicting metastasis in breast-cancer patients by using the same. In the present invention, a straight forward method is used to achieve high-reliability prediction of the patient's prognosis by analyzing for the genetic characteristics of early stage breast cancer, and thus the present invention can be used to advantage in prognosis diagnosis which can reduce unnecessary anticancer therapy.

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.

Abstract: The present invention relates to a gene for predicting or diagnosing the prognosis of early-stage breast cancer and to a use thereof, and more specifically relates to a genetic marker for predicting or diagnosing the prognosis of breast cancer, including TRBC1 (T cell receptor beta constant 1), BTN3A2 (butyrophilin, subfamily 3, member A2) or HLA-DPA1 (major histocompatibility complex, class II, DP alpha 1) for providing information necessary for predicting or diagnosing the prognosis of a breast cancer patient. The genetic marker of the present invention allows the prediction or diagnosis of the prognosis of a breast cancer patient, and can therefore advantageously be used for the purpose of providing a direction as to the future course of breast cancer treatment, including a decision on whether anticancer therapy is necessary.

Abstract: The present invention relates to a method for selecting a gene intended to predict the prognosis for a cancer, to the selected gene for predicting the prognosis of cancer and to a kit for predicting and a method for predicting metastasis in breast-cancer patients by using the same. In the present invention, a straight forward method is used to achieve high-reliability prediction of the patient's prognosis by analysing for the genetic characteristics of early stage breast cancer, and thus the present invention can be used to advantage in prognosis diagnosis which can reduce unnecessary anticancer therapy.

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.

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.

Abstract: The present invention relates to a method for selecting a gene intended to predict the prognosis for a cancer, to the selected gene for predicting the prognosis of cancer and to a kit for predicting and a method for predicting metastasis in breast-cancer patients by using the same. In the present invention, a straight forward method is used to achieve high-reliability prediction of the patient's prognosis by analysing for the genetic characteristics of early stage breast cancer, and thus the present invention can be used to advantage in prognosis diagnosis which can reduce unnecessary anticancer therapy.

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.

Abstract: A gene for predicting or diagnosing the prognosis of early-stage breast cancer and to a use thereof is disclosed, and more specifically a genetic marker for predicting or diagnosing the prognosis of breast cancer, including TRBC1 (T cell receptor beta constant 1), BTN3A2 (butyrophilin, subfamily 3 member A2) or HLA-DPA1 (major histocompatibility complex, class II, DP alpha 1) for providing information necessary for predicting or diagnosing the prognosis of a breast cancer patient. The genetic marker allows the prediction or diagnosis of the prognosis of a breast cancer patient, and can therefore advantageously be used for the purpose of providing a direction as to the future course of breast cancer treatment, including a decision on whether anticancer therapy is necessary.

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.

Abstract: Disclosed are a data processing and analysis method of 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 the amplification of the identified endogenous reference genes. Introduced with the concepts of “Zero's proportion’ and CV, the me 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. Out of the 2,087 genes, 13 genes are found to show higher expression stability with lower expression levels across a wide range of samples than traditional reference genes such as GAPDH and ACTB, and therefore are suitable for the normalization of universal genes having relatively low expression levels.