Work

Possibility of Detecting Intraductal Papillary Mucinous Neoplasms Using Metabolite Biomarkers for Pancreatic Cancer

Year: 2020

Type: article

Abstract: Aim: The aim of this study was to identify whether metabolite biomarker candidates for pancreatic cancer (PC) could aid detection of intraductal papillary mucinous neoplasms (IPMN), recognized as high-risk factors for PC. Materials & methods: The 12 metabolite biomarker candidates, which were found to be useful to detect PC in our previous study, were evaluated for plasma samples from patients with PC (n = 44) or IPMN (n = 24) or healthy volunteers (n = 46). Results: Regarding the performance of individual biomarkers of PC and PC high-risk IPMN, lysine exhibited the best performance (sensitivity: 67.8%; specificity: 86.9%). The multiple logistic regression analysis-based detection model displayed high sensitivity and specificity values of 92.5 and 90.6%, respectively. Conclusion: Metabolite biomarker candidates for PC are useful for detecting high-risk IPMN, which can progress to PC.

Source: Biomarkers in Medicine

DOI: 10.2217/bmm-2019-0587

Authors: Ryota Nakano, Shin Nishiumi, Takashi Kobayashi, Takuya Ikegawa, Yuzo Kodama, Masaru Yoshida

Institutions: Kobe University, Hyogo Medical University, Japan Agency for Medical Research and Development

Language: English

Topic: Pancreatic and Hepatic Oncology Research

Subfield: Oncology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funder: Japan Society for the Promotion of Science