Dataset Information

Thromboxane-A Synthase 1 as a Potential Dual Biomarker for Metastatic Prostate Cancer and Atherosclerosis: Insights from a Nanomedicine Protein Corona, Machine Learning, and Actual Causality Approaches

ABSTRACT: Prostate cancer (PC) is the most common cancer among men in the United States, while atherosclerosis (ASCVD) is the most prevalent cardiovascular disease (CVD) associated with it. CVD, particularly ASCVD, has been shown to contribute to metastatic prostate cancer (mPC) progression. Identifying blood-based biomarkers for these diseases is essential, yet current diagnostics face challenges in detecting low-abundance proteins in plasma. METHODS: This study introduces a nanomedicine platform that uses nanoparticle protein coronas, combined with mass spectrometry (MS)-based bottom up proteomics (BUP), machine learning, and actual causality analysis, to enable biomarker detection for ASCVD and mPC. Protein corona profiles were generated from 35 plasma samples divided into four groups: mPC with ASCVD, non-metastatic PC (nmPC) with ASCVD, mPC without ASCVD, and nmPC without ASCVD. BUP identified and quantified the proteins in the corona samples and discovered the differentially expressed proteins between different groups. LASSO (Least Absolute Shrinkage and Selection Operator) regularization within a logistic regression model was applied to determine proteins closely linked to ASCVD and mPC. Causality analysis then evaluated the proteins identified, focusing on those that could be considered causal factors in both ASCVD and mPC.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Plasma

DISEASE(S): Cardiovascular System Disease,Prostate Cancer

SUBMITTER: Liangliang Sun

LAB HEAD: Liangliang Sun

PROVIDER: PXD057863 | Pride | 2025-11-21

REPOSITORIES: Pride

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Publications

AI-Driven Prediction of Cardio-Oncology Biomarkers Through Protein Corona Analysis.

Guha Avirup A Sadeghi Seyed Amirhossein SA Kunhiraman Harikrishnan Hyma HH Fang Fei F Wang Qianyi Q Rafieioskouei Arshia A Grumelot Shaun S Gharibi Hassan H Saei Amir Ata AA Sayadi Maryam M Weintraub Neal L NL Horibata Sachi S Yang Phillip Chung-Ming PC Bonakdarpour Borzoo B Ghassemi Mohammad M Sun Liangliang L Mahmoudi Morteza M

Chemical engineering journal (Lausanne, Switzerland : 1996) 20250301

Protein corona, a layer predominantly composed of proteins and other biomolecules that forms on nanoparticle surfaces upon interaction with biological fluids, has recently been extensively utilized to enhance the depth of plasma proteomics and biomarker discovery. In this study, we integrate protein corona profiling with mass spectrometry (MS)-based bottom-up proteomics (BUP), machine learning, and causality analysis to identify potential biomarkers in the field of cardio-oncology. We selected p ...[more]

PMID: 40190726

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