Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/150776
Title: Proteomic investigation of intra-tumor heterogeneity using network-based contextualization - a case study on prostate cancer
Authors: Goh, Wilson Wen Bin
Zhao, Yaxing
Sue, Andrew Chi-Hau
Guo, Tiannan
Wong, Limsoon
Keywords: Science::Biological sciences
Issue Date: 2019
Source: Goh, W. W. B., Zhao, Y., Sue, A. C., Guo, T. & Wong, L. (2019). Proteomic investigation of intra-tumor heterogeneity using network-based contextualization - a case study on prostate cancer. Journal of Proteomics, 206, 103446-. https://dx.doi.org/10.1016/j.jprot.2019.103446
Project: NRF2018NRF-NSFC003SB-006
Journal: Journal of Proteomics
Abstract: Cancer is a heterogeneous disease, confounding the identification of relevant markers and drug targets. Network-based analysis is robust against noise, potentially offering a promising approach towards biomarker identification. We describe here the application of two network-based methods, qPSP (Quantitative Proteomics Signature Profiling) and PFSNet (Paired Fuzzy SubNetworks), in an intra-tissue proteome data set of prostate tissue samples. Despite high basal variation, we find that traditional statistical analysis may exaggerate the extent of heterogeneity. We also report that network-based analysis outperforms protein-based feature selection with concomitantly higher cross-validation accuracy. Overall, network-based analysis provides emergent signal that boosts sensitivity while retaining good precision. It is a potential means of circumventing heterogeneity for stable biomarker discovery.
URI: https://hdl.handle.net/10356/150776
ISSN: 1874-3919
DOI: 10.1016/j.jprot.2019.103446
Rights: © 2019 Elsevier B.V. All rights reserved. This paper was published in Journal of Proteomics and is made available with permission of Elsevier B.V.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SBS Journal Articles

Files in This Item:
File Description SizeFormat 
Proteomic investigation of intra-tumor heterogeneity using network-based contextualization.pdf447.65 kBAdobe PDFView/Open

Page view(s)

64
Updated on Nov 30, 2021

Download(s)

12
Updated on Nov 30, 2021

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.