Abstract: It is provided a method for identification of the morbidity of epithelial ovarian cancer based on a tissue-type in view of molecular typing which is different from a conventional histopathology, and a marker for identification of a tissue-type of epithelial ovarian cancer. A method for identification of the morbidity of epithelial ovarian cancer based on a tissue-type, comprising: subjecting a sample originated from an individual of interest to a treatment for detecting at least one selected from the group consisting of biological molecules specifically showing an upregulation in expression in a specific tissue-type of epithelial ovarian cancer, and/or at least one selected from the group consisting of biological molecules specifically showing a downregulation in expression in a specific tissue-type of epithelial ovarian cancer, and identifying whether or not the significant detection of the protein is achieved, thereby identifying the tissue-type.

Abstract: It is provided a method for identification of the morbidity of epithelial ovarian cancer based on a tissue-type in view of molecular typing which is different from a conventional histopathology, and a marker for identification of a tissue-type of epithelial ovarian cancer. A method for identification of the morbidity of epithelial ovarian cancer based on a tissue-type, comprising: subjecting a sample originated from an individual of interest to a treatment for detecting at least one selected from the group consisting of biological molecules specifically showing an upregulation in expression in a specific tissue-type of epithelial ovarian cancer, and/or at least one selected from the group consisting of biological molecules specifically showing a downregulation in expression in a specific tissue-type of epithelial ovarian cancer, and identifying whether or not the significant detection of the protein is achieved, thereby identifying the tissue-type.

Abstract: A molecular diagnosis system of ovarian cancers encompasses a detection device configured to obtain a detected value of an expression amount of an apolipoprotein A1 gene in ovarian tissue as a diagnosis subject, a storage device configured to store a normal value of the expression amount of the apolipoprotein A1 gene in normal ovarian tissue, and a determination mechanism configured to determine that the ovarian tissue as the diagnosis subject is clear cell adenocarcinoma when the detected value is lower than the normal value.