TY - UNPB
T1 - Pathway centered analysis to guide clinical decision-making in precision medicine
AU - Carvalho, Luís B.
AU - Capelo, J. L.
AU - Lodeiro, Carlos
AU - Dhir, Rajiv
AU - Pinheiro, Luis Campos
AU - Medeiros, Mariana
AU - Santos, Hugo M.
N1 - info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50006%2F2020/PT#
info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F50006%2F2020/PT#
info:eu-repo/grantAgreement/FCT/Investigador FCT/IF%2F00007%2F2015%2FCP1293%2FCT0001/PT#
info:eu-repo/grantAgreement/FCT/OE/SFRH%2FBD%2F144222%2F2019/PT#
The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium20 via the PRIDE21 partner repository with the data set number PXD025139.
PY - 2021/4/30
Y1 - 2021/4/30
N2 - Changes in the human proteome caused by disease before, during and after medical care is phenotype-dependent, so the proteome of each individual at any time point is a snapshot of the body’s response to disease and to disease treatment. Here, we introduce a new concept named differential Personal Pathway index (dPPi). This tool extracts and summates comprehensive disease-specific information contained within an individual’s proteome as a holistic way to follow the response to disease and medical care over time. We demonstrate the principle of the dPPi algorithm on proteins found in urine from patients suffering from neoplasia of the bladder. The relevance of the dPPi results to the individual clinical cases is described. The dPPi concept can be extended to other malignant and non-malignant diseases, and to other types of biopsies, such as plasma, serum or saliva. We envision the dPPi as a tool for clinical decision-making in precision medicine.
AB - Changes in the human proteome caused by disease before, during and after medical care is phenotype-dependent, so the proteome of each individual at any time point is a snapshot of the body’s response to disease and to disease treatment. Here, we introduce a new concept named differential Personal Pathway index (dPPi). This tool extracts and summates comprehensive disease-specific information contained within an individual’s proteome as a holistic way to follow the response to disease and medical care over time. We demonstrate the principle of the dPPi algorithm on proteins found in urine from patients suffering from neoplasia of the bladder. The relevance of the dPPi results to the individual clinical cases is described. The dPPi concept can be extended to other malignant and non-malignant diseases, and to other types of biopsies, such as plasma, serum or saliva. We envision the dPPi as a tool for clinical decision-making in precision medicine.
U2 - 10.1101/2021.04.30.442131
DO - 10.1101/2021.04.30.442131
M3 - Preprint
BT - Pathway centered analysis to guide clinical decision-making in precision medicine
ER -