NDLI: Application of Proteomics in Pancreatic Ductal Adenocarcinoma Biomarker Investigations: A Review

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Application of Proteomics in Pancreatic Ductal Adenocarcinoma Biomarker Investigations: A Review

Content Provider	MDPI
Author	Vellan, Christina Jane Jayapalan, Jaime Jacqueline Yoong, Boon-Koon Abdul-Aziz, Azlina Mat-Junit, Sarni Subramanian, Perumal
Copyright Year	2022
Description	Pancreatic ductal adenocarcinoma (PDAC), a highly aggressive malignancy with a poor prognosis is usually detected at the advanced stage of the disease. The only US Food and Drug Administration-approved biomarker that is available for PDAC, CA 19-9, is most useful in monitoring treatment response among PDAC patients rather than for early detection. Moreover, when CA 19-9 is solely used for diagnostic purposes, it has only a recorded sensitivity of 79% and specificity of 82% in symptomatic individuals. Therefore, there is an urgent need to identify reliable biomarkers for diagnosis (specifically for the early diagnosis), ascertain prognosis as well as to monitor treatment response and tumour recurrence of PDAC. In recent years, proteomic technologies are growing exponentially at an accelerated rate for a wide range of applications in cancer research. In this review, we discussed the current status of biomarker research for PDAC using various proteomic technologies. This review will explore the potential perspective for understanding and identifying the unique alterations in protein expressions that could prove beneficial in discovering new robust biomarkers to detect PDAC at an early stage, ascertain prognosis of patients with the disease in addition to monitoring treatment response and tumour recurrence of patients.
Starting Page	2093
e-ISSN	14220067
DOI	10.3390/ijms23042093
Journal	International Journal of Molecular Sciences
Issue Number	4
Volume Number	23
Language	English
Publisher	MDPI
Publisher Date	2022-02-14
Access Restriction	Open
Subject Keyword	International Journal of Molecular Sciences Oncology Pancreatic Ductal Adenocarcinoma Biomarkers Ca 19-9 Proteomics Diagnosis Prognosis Monitoring of Treatment Response Tumour Recurrence
Content Type	Text
Resource Type	Article

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