Detection of Pancreatic Cancer Biomarkers Using Mass Spectrometry

Autor: Kiyoun Kim, Soohyun Ahn, Johan Lim, Byong Chul Yoo, Jin-Hyeok Hwang, Woncheol Jang
Jazyk: angličtina
Rok vydání: 2014
Předmět:
Zdroj: Cancer Informatics, Vol 13s7 (2014)
Druh dokumentu: article
ISSN: 1176-9351
DOI: 10.4137/CIN.S16341
Popis: Background Pancreatic cancer is the fourth leading cause of cancer-related deaths. Therefore, in order to improve survival rates, the development of biomarkers for early diagnosis is crucial. Recently, diabetes has been associated with an increased risk of pancreatic cancer. The aims of this study were to search for novel serum biomarkers that could be used for early diagnosis of pancreatic cancer and to identify whether diabetes was a risk factor for this disease. Methods Blood samples were collected from 25 patients with diabetes (control) and 93 patients with pancreatic cancer (including 53 patients with diabetes), and analyzed using matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF/MS). We performed preprocessing, and various classification methods with imputation were used to replace the missing values. To validate the selection of biomarkers identified in pancreatic cancer patients, we measured biomarker intensity in pancreatic cancer patients with diabetes following surgical resection and compared our results with those from control (diabetes-only) patients. Results By using various classification methods, we identified the commonly splitting protein peaks as m/z 1,465, 1,206, and 1,020. In the follow-up study, in which we assessed biomarkers in pancreatic cancer patients with diabetes after surgical resection, we found that the intensities of m/z at 1,465, 1,206, and 1,020 became comparable with those of diabetes-only patients.
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