Prospective Analysis of Proteins Carried in Extracellular Vesicles with Clinical Outcome in Hepatocellular Carcinoma

Chen, Wenbiao1,2,3; Zhang, Feng4; Xu, Huixuan3; Hou, Xianliang3; Tang, Donge3

2022

10.2174/1389202923666220304125458

CURRENT GENOMICS   Impact Factor & Quartile

1389-2029

1875-5488

Background: Extracellular vehicles (EVs) contain different proteins that relay information between tumor cells, thus promoting tumorigenesis. Therefore, EVs can serve as an ideal marker for tumor pathogenesis and clinical application. Objective: Here, we characterised EV-specific proteins in hepatocellular carcinoma (HCC) samples and established their potential protein-protein interaction (PPI) networks. Materials and Methods: We used multi-dimensional bioinformatics methods to mine a network module to use as a prognostic signature and validated the model's prediction using additional datasets. The relationship between the prognostic model and tumor immune cells or the tumor microenvironment status was also examined. Results: 1134 proteins from 316 HCC samples were mapped to the exoRBase database. HCC-specific EVs specifically expressed a total of 437 proteins. The PPI network revealed 321 proteins and 938 interaction pathways, which were mined to identify a three network module (3NM) with significant prognostic prediction ability. Validation of the 3NM in two more datasets demonstrated that the model outperformed the other signatures in prognostic prediction ability. Functional analysis revealed that the network proteins were involved in various tumor-related pathways. Additionally, these findings demonstrated a favorable association between the 3NM signature and macrophages, dendritic, and mast cells. Besides, the 3NM revealed the tumor microenvironment status, including hypoxia and inflammation. Conclusion: These findings demonstrate that the 3NM signature reliably predicts HCC pathogenesis. Therefore, the model may be used as an effective prognostic biomarker in managing patients with HCC.

Proteins exosome hepatocellular carcinoma prognostic signature gene PPI networks

SCI

English

Corresponding

China Postdoctoral Science Foundation[2021M703372] ; Basic and Applied Basic Research Fund of Guangdong Provincial and Municipal Joint Fund[21201910240002230] ; Medical Science and Technology Research Fund of Guangdong Province[B2022103]

Biochemistry & Molecular Biology ; Genetics & Heredity

Biochemistry & Molecular Biology ; Genetics & Heredity

WOS:000828065500004

BENTHAM SCIENCE PUBL LTD

MOLECULAR BIOLOGY & GENETICS

Web of Science

1.Southern Med Univ, Affiliated Hosp, Peoples Hosp Longhua, Cent Mol Lab, Shenzhen 518109, Peoples R China
2.Southern Med Univ, Affiliated Hosp, Peoples Hosp Longhua, Dept Resp Med, Shenzhen 518109, Peoples R China
3.Jinan Univ, Affiliated Hosp 1,Clin Med Coll 2, Shenzhen Peoples Hosp,Clin Med Res Ctr, Southern Univ Sci & Technol,Guangdong Prov Engn R, Shenzhen 518020, Peoples R China
4.Jinan Univ, Affiliated Hosp 1, Intens Care Unit, Guangzhou 510632, Peoples R China

Chen, Wenbiao,Zhang, Feng,Xu, Huixuan,et al. Prospective Analysis of Proteins Carried in Extracellular Vesicles with Clinical Outcome in Hepatocellular Carcinoma[J]. CURRENT GENOMICS,2022,23(2).

Chen, Wenbiao,Zhang, Feng,Xu, Huixuan,Hou, Xianliang,&Tang, Donge.(2022).Prospective Analysis of Proteins Carried in Extracellular Vesicles with Clinical Outcome in Hepatocellular Carcinoma.CURRENT GENOMICS,23(2).

Chen, Wenbiao,et al."Prospective Analysis of Proteins Carried in Extracellular Vesicles with Clinical Outcome in Hepatocellular Carcinoma".CURRENT GENOMICS 23.2(2022).