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Diagnostic value, prognostic value, and immune infiltration of LOX family members in liver cancer: bioinformatic analysis

Sun, C, Ma, S, Chen, Y, Kim, NH, Kailas, S, Wang, Y, Gu, W, Chen, Y, Tuason, JPW, Bhan, C, Manem, N, Huang, Y, Cheng, C, Zhou, Z ORCID: 0000-0002-0835-8686, Zhou, Q and Zhu, Y 2022 , 'Diagnostic value, prognostic value, and immune infiltration of LOX family members in liver cancer: bioinformatic analysis' , Frontiers in Oncology, vol. 12 , pp. 1-19 , doi: https://doi.org/10.3389/fonc.2022.843880.

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Abstract

Background: Liver cancer (LC) is well known for its prevalence as well as its poor prognosis. The aberrant expression of lysyl oxidase (LOX) family is associated with liver cancer, but their function and prognostic value in LC remain largely unclear. This study aimed to explore the function and prognostic value of LOX family in LC through bioinformatics analysis and meta-analysis.Results: The expression levels of all LOX family members were significantly increased in LC. Area under the receiver operating characteristic curve (AUC) of LOXL2 was 0.946 with positive predictive value (PPV) of 0.994. LOX and LOXL3 were correlated with worse prognosis. Meta-analysis also validated effect of LOX on prognosis. Nomogram of these two genes and other predictors was also plotted. There was insufficient data from original studies to conduct meta-analysis on LOXL3. The functions of LOX family members in LC were mostly involved in extracellular and functions and structures. The expressions of LOX family members strongly correlated with various immune infiltrating cells and immunomodulators in LC.Conclusions: For LC patients, LOXL2 may be a potential diagnostic biomarker, while LOX and LOXL3 have potential prognostic and therapeutic values. Positive correlation between LOX family and infiltration of various immune cells and immunomodulators suggests the need for exploration of their roles in the tumor microenvironment and for potential immunotherapeutic to target LOX family proteins.

Item Type: Article
Authors/Creators:Sun, C and Ma, S and Chen, Y and Kim, NH and Kailas, S and Wang, Y and Gu, W and Chen, Y and Tuason, JPW and Bhan, C and Manem, N and Huang, Y and Cheng, C and Zhou, Z and Zhou, Q and Zhu, Y
Keywords: liver cancer, lysyl oxidase, bioinformatic analysis, receiver operating curve, nomogram, prognostic value, immune infiltration
Journal or Publication Title: Frontiers in Oncology
Publisher: Frontiers Research Foundation
ISSN: 2234-943X
DOI / ID Number: https://doi.org/10.3389/fonc.2022.843880
Copyright Information:

Copyright © 2022 Sun, Ma, Chen, Kim, Kailas, Wang, Gu, Chen, Tuason, Bhan,Manem, Huang, Cheng, Zhou, Zhou and Zhu. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) License (https://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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