Abstract: The present invention relates to a composition, a kit, a nucleic acid chip and a method which allow the diagnosis of liver cancer by detecting methylation levels of CpG sites of any one or more genes selected from the group consisting of FAM110A, FAR1, VIM, LDHB, LIPE, INAFM1, ATL1, CELF6, MTHFD2, PAK1, NXPE3, SLC25A36 and VANGL2. The present invention enables accurate and rapid diagnosis of liver cancer, and also enables early diagnosis.

Abstract: An all-printed physically unclonable function based on a single-walled carbon nanotube network. The network may be a mixture of semiconducting and metallic nanotubes randomly tangled with each other through the printing process. The unique distribution of carbon nanotubes in a network can be used for authentication, and this feature can be a secret key for a high level hardware security. The carbon nanotube network does not require any advanced purification process, alignment of nanotubes, high-resolution lithography and patterning. Rather, the intrinsic randomness of carbon nanotubes is leveraged to provide the unclonable aspect.

Abstract: Discussed are a light-emitting device and a light-emitting display device having improved efficiency and increased lifespan. A plurality of stacks is provided between an anode and a cathode for at least a subpixel to emit a predetermined color, and emissive layers in different stacks include the same color-based materials having different luminous properties.

Abstract: Proposed is a peptide for skin anti-aging and anti-wrinkle, comprising a glycine-histidine-lysine tripeptide and polyarginine linked to the carboxy-terminus of the tripeptide, and a composition for skin anti-aging and anti-wrinkle comprising the peptide. The peptide and composition may enter the cytoplasm more rapidly and efficiently than a conventional GHK tripeptide, and may exhibit skin anti-aging and anti-wrinkle effects similar to those of the GHK tripeptide even at a lower concentration than that of the GHK tripeptide.

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.

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.

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.

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.

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.

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.