title: Development of biomarker positivity analysis system for cancer diagnosis based on clinical data.
abstract: In Korea, there were 224,000 new cases of cancer and 75,334 deaths caused by cancer in 2013, which was three times more than the number of death caused by heart disease, the second leading cause of death. This study proposes a biomarker positivity analysis system based on clinical data, for personalized diagnosis and therapy of cancer. Data of 78,912 cases were obtained from immunopathology and surgical pathology reports. Data on sex, age, organ, diagnosis, and biomarkers were entered into a database. To verify the reliability of the clinical data, an additional 50,450 cases from positivity-related research papers were added. The proposed biomarker positivity analysis system makes it possible to extract and combine information for searching. The positivity values are in graphical and tabular format for ease of use. With a link to the internal network of the hospital, real-time pathology reports are available. Twenty-five pathology specialists are chosen as subjects to further confirm the reliability of this system; primary assessment results demonstrate a satisfaction level of 4.7 out of 5 and a concordance rate of 79% with positive data under the same conditions as reported in the literature. In the present study, analysis methods and platforms using large volumes of clinical and literature data are developed for cancer prognoses. It is expected that these tools will benefit both healthcare professionals and non-professionals involved in cancer diagnosis and treatment.
authors.affiliation: Department of Industrial Engineering, Ajou University, 206 Worldcup-ro, Yeongtong-gu, Suwon, Korea.
authors.forename: Jung Min
authors.initials: JM
authors.lastname: Yun
authors.affiliation: Department of Industrial Engineering, Ajou University, 206 Worldcup-ro, Yeongtong-gu, Suwon, Korea.
authors.forename: Sung Jin
authors.initials: SJ
authors.lastname: Hwang
authors.affiliation: Department of Industrial Engineering, Ajou University, 206 Worldcup-ro, Yeongtong-gu, Suwon, Korea.
authors.forename: Sung Yong
authors.initials: SY
authors.lastname: Anh
authors.affiliation: Department of Industrial Engineering, Ajou University, 206 Worldcup-ro, Yeongtong-gu, Suwon, Korea.
authors.forename: Seung Min
authors.initials: SM
authors.lastname: Lee
authors.affiliation: Department of Industrial Engineering, Ajou University, 206 Worldcup-ro, Yeongtong-gu, Suwon, Korea.
authors.forename: Peter
authors.initials: P
authors.lastname: Kang
authors.affiliation: Interdiciplinary Program for Bioengineering, Graduate School, Seoul National University, Seoul, Korea.
authors.forename: Jeong Eun
authors.initials: JE
authors.lastname: Lee
authors.affiliation: Interdiciplinary Program for Bioengineering, Graduate School, Seoul National University, Seoul, Korea.
authors.forename: Eun Sil
authors.initials: ES
authors.lastname: Yoon
authors.affiliation: Department of Biomedical Engineering, College of Medicine, Seoul National University, Seoul, Korea.
authors.forename: Jin Wook
authors.initials: JW
authors.lastname: Choi
authors.affiliation: Department of Biomedical Engineering, College of Medicine, Seoul National University, Seoul, Korea.
authors.forename: Sung-Hye
authors.initials: SH
authors.lastname: Park
authors.affiliation: Department of Pathology, Seoul National University Hospital, College of Medicine, Seoul National University, Seoul, Korea.
authors.forename: Jung-Wook
authors.initials: JW
authors.lastname: Seo
authors.affiliation: Department of Industrial Engineering, Ajou University, 206 Worldcup-ro, Yeongtong-gu, Suwon, Korea.
authors.forename: Peom
authors.initials: P
authors.lastname: Park
mesh_terms: D000465:Algorithms; D014408:Biomarkers, Tumor / Q000032:analysis*; D016208:Databases, Factual; D005260:Female; D006801:Humans; D008297:Male; D009369:Neoplasms / Q000175:diagnosis*; D057285:Precision Medicine; D057386:Search Engine
chemical_list: D014408:Biomarkers, Tumor
keywords: Cancer; biomarker; clinical data; positive rate