Abstract: The present invention relates to a method of diagnosing cancer using proteins (or fragments thereof), which are specifically expressed in cancer, or genes encoding the proteins. According to the present invention, specific proteins and fragments thereof useful for cancer diagnosis are discovered among blood proteins, and they may be used as diagnostic biomarkers to diagnose in particular breast cancer simply and accurately at an early stage, thereby significantly lowering the mortality rate of patients with related diseases.

Abstract: The present invention relates, with respect to liquid chromatograph-mass spectrometry (LC-MS), to a technique for predicting retention time of samples and thereby accurately separating signals of samples having mass that are close to each other to improve multiplexity of quantitative measurements.

Abstract: The present invention relates to a method of determining the subtype of a pancreatic ductal adenocarcinoma patient through proteogenomic analysis of PDAC. The method of determining the subtype of pancreatic cancer according to one embodiment of the present invention comprises steps of: (1) pulverizing a pancreatic ductal adenocarcinoma lesion tissue isolated from a pancreatic ductal adenocarcinoma patient; (2) obtaining a peptide sample for the patient by extracting and digesting proteins from the lesion tissue; (3) measuring the expression levels of representative genes of pancreatic ductal adenocarcinoma subtypes 1 to 6 from the peptide sample for the patient; and (4) determining the subtype of the pancreatic ductal adenocarcinoma patient by comparing the expression levels of the representative genes of pancreatic ductal adenocarcinoma subtypes 1 to 6.

Abstract: The present disclosure relates to a composition for detecting or measuring an analyte and an analysis method using the composition. In particular, efficiency and performance of sample analysis may be greatly improved through the composition and analysis method of the present disclosure.

Abstract: Disclosed are a mutually independent dual online liquid chromatography device and a control method thereof.

Abstract: The present invention provides a system for predicting the spectral profile of a peptide, wherein the spectrum of a sample to be checked can be efficiently analyzed by machine learning properties of the peptide and generating training data for predicting the spectral profile.

Abstract: The present invention relates to a composition capable of cancer diagnosis, a diagnostic kit comprising same, and a method for providing information for cancer diagnosis using the composition. When a biomarker of the present invention is used, it is possible to accurately and conveniently diagnose cancer, particularly breast cancer, in an early stage, and furthermore, it is possible to diagnose the stage of cancer and predict therapeutic responsiveness or post-treatment prognosis.

Abstract: The present invention relates to a biomarker for diagnosing pancreatic cancer and use thereof. The marker according to the present application can significantly predict or determine, through a 14-multimarker panel, the onset likelihood, early diagnosis, and severity of pancreatic cancer or precancerous lesions of pancreatic cancer, and can be used in research on the tumorigenesis of pancreatic cancer.

Abstract: The present disclosure relates to a composition capable of cancer diagnosis, a diagnostic kit comprising same, and a method for providing information for cancer diagnosis using the composition. When a biomarker of the present disclosure is used, it is possible to accurately and conveniently diagnose cancer, particularly breast cancer, in an early stage, and furthermore, it is possible to diagnose the stage of cancer and predict therapeutic responsiveness or post-treatment prognosis.