A Clinically Applicable 24-Protein Model for Classifying Risk Subgroups in Pancreatic Ductal Adenocarcinomas using Multiple Reaction Monitoring-Mass Spectrometry.
Minsoo SonHongbeom KimDo Hyun HanYoseop KimIksoo HuhYoungmin HanSeung-Mo HongWooil KwonHaeryoung KimJin-Young JangYoungsoo KimPublished in: Clinical cancer research : an official journal of the American Association for Cancer Research (2021)
We proposed PDAC risk subgroups and developed a classification model that may potentially be useful for routine clinical implementations, at the individual level. This clinical system may improve the accuracy of risk prediction and treatment guidelines.See related commentary by Thakur and Singh, p. 3272.