Home Neoplasma 2023 Neoplasma Vol.70, No.1, p. 36–45, 2023

Journal info

6 times a year.
Founded: 1954
ISSN 0028-2685
ISSN 1338-4317 (online)

Published in English

Editorial Info
Abstracted and Indexed
Submission Guidelines

Select Journal

Webshop Cart

Your Cart is currently empty.

Info: Your browser does not accept cookies. To put products into your cart and purchase them you need to enable cookies.

Neoplasma Vol.70, No.1, p. 36–45, 2023

Title: Identification and validation of circulating biomarkers for detection of liver cancer with antibody array
Author: Shuangzhe Zhang, Chunhui Gao, Qi Zhou, Lipai Chen, Gordon Fan Huang, Hao Tang, Xuedong Song, Zhuo Zhang, Kelly Whittaker, Xiaofeng Chen, Ruo-Pan Huang

Abstract: The aim of this study was to find new protein biomarkers that could be used to detect hepatocellular carcinoma (HCC) in the serum. We identified 11 proteins in the tissue that could be used to classify samples from HCC and control subjects. The 11 identified tissue biomarkers were combined with 10 commonly used serum HCC biomarkers for further verification in a large number of serum samples from HCC patients and healthy controls. 17 of the 21 prospective serum biomarkers were determined to be differentially expressed through collinearity and significance analysis. Through the method of supervised learning, a random forest model was constructed to reduce the dimensionality of the number of differentially expressed proteins, and finally, 4 differentially expressed proteins were identified: AFP, GDF15, CEACAM-1, and MMP-9, and suggested to have potential application in clinical diagnosis of HCC.

Keywords: liver cancer; protein biomarkers; antibody array; random forest; tissue and serum detection; combination of biomarkers
Published online: 09-Jan-2023
Year: 2023, Volume: 70, Issue: 1 Page From: 36, Page To: 45

download file

© AEPress s.r.o
Copyright notice: For any permission to reproduce, archive or otherwise use the documents in the ELiS, please contact AEP.