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Individualized metabolic profiling stratifies pancreatic and biliary tract cancer: a useful tool for innovative screening programs and predictive strategies in healthcare.

Jun Hwa LeeSeung Eun YuKyung-Hee KimMyung Hyun YuIn-Hye JeongJae Youl ChoSang-Jae ParkWoo Jin LeeSung-Sik HanTae Hyun KimEun Kyung HongSang Myung WooByong-Chul You
Published in: The EPMA journal (2018)
The levels of the 14 discriminative LMIs were higher in the PC and BTC groups than in the control, CRC and OVC groups, but only two LMIs discriminated between PC and BTC: lysophosphatidylcholine (LysoPC) (16:0) and LysoPC(20:4). The levels of these two LysoPCs were also slightly lower in the PC/BTC/CRC/OVC groups compared with the control group. Taken together, the data showed that metabolic profiling can precisely denote the status of cancer, and, thus, could be useful for screening. This study not only details efficient methods to identify discriminative LMIs for cancer screening but also provides an example of metabolic profiling for distinguishing PC from BTC. Furthermore, the two metabolites [LysoPC(16:0), LysoPC(20:4)] shown to discriminate these diseases are potentially useful when combined with other, previously identified protein or metabolic biomarkers for predictive, preventive and personalized medical approach.
Keyphrases
  • papillary thyroid
  • healthcare
  • squamous cell
  • single cell
  • public health
  • electronic health record
  • binding protein
  • health insurance
  • deep learning