Protocol for analysis of plasma proteomes from patients with hepatocellular carcinoma receiving combination therapy

Plasma shows distinct metabolomic and proteomic signatures in response to combination therapy with lenvatinib and anti-programmed death-1 (PD-1) antibody in treating hepatocellular carcinoma (HCC). Here, we present a protocol for analyzing plasma proteomes from patients with HCC receiving combination therapy. We describe steps for interpreting mass spectrometry data by database searching using MaxQuant and filtering and processing database search outcomes. We then detail procedures for downstream analyses including normalization, differential expression analysis, functional enrichment analysis, correlation analysis, consensus clustering, and survival analysis. For complete details on the use and execution of this protocol, please refer to Li et al.<sup>1</sup>.

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Publication Details

Journal
STAR Protocols
Published
2024-09-23
DOI
https://doi.org/10.1016/j.xpro.2024.103308
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Protocol for analysis of plasma proteomes from patients with hepatocellular carcinoma receiving combination therapy

Feng Liu, Ling Du, Zhi-Feng Pan
STAR Protocols
Advanced Proteomics Techniques and Applications
article

Protocol for analysis of plasma proteomes from patients with hepatocellular carcinoma receiving combination therapy

Feng Liu, Ling Du, Zhi-Feng Pan
article en

Abstract

Plasma shows distinct metabolomic and proteomic signatures in response to combination therapy with lenvatinib and anti-programmed death-1 (PD-1) antibody in treating hepatocellular carcinoma (HCC). Here, we present a protocol for analyzing plasma proteomes from patients with HCC receiving combination therapy. We describe steps for interpreting mass spectrometry data by database searching using MaxQuant and filtering and processing database search outcomes. We then detail procedures for downstream analyses including normalization, differential expression analysis, functional enrichment analysis, correlation analysis, consensus clustering, and survival analysis. For complete details on the use and execution of this protocol, please refer to Li et al.<sup>1</sup>.

STAR ProtocolsVol. 5(4)
Ministry of Science and Technology (LA)
National Natural Science Foundation of China, Fudan University
Good health and well-being
Openalex Percentile: Top 88%
Advanced Proteomics Techniques and Applications
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