Identification of Differentiation-Related Biomarkers in Liposarcoma Tissues Using Weighted Gene Co-Expression Network Analysis

Huanhuan Zhao; Guochuan Zhang

doi:10.23812/j.biol.regul.homeost.agents.20233712.644

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Asia Pacific Academy of Science Pte. Ltd. (APACSCI) specializes in international journal publishing. APACSCI adopts the open access publishing model and provides an important communication bridge for academic groups whose interest fields include engineering, technology, medicine, computer, mathematics, agriculture and forestry, and environment.

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2025

Vol 39, No 3 (2025)

Vol 39, No 2 (2025)

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Macrophages in the pathogenesis of psoriasis and anti-psoriatic nanotherapies

Psoriasis is a common, chronic, and inflammatory skin disease. Macrophages account for about 61.3% of the inflammatory cells infiltrating psoriatic lesions. Modulating macrophage polarization, inhibiting their infiltration, and targeting the secretion of inflammatory factors and associated inflammatory pathways by these cells can alleviate psoriasis symptoms and inflammation. Moreover, nanomaterials as novel drug carriers, offer unique advantages such as large surface area, easy modification, high biocompatibility, good biodegradability, enhanced systemic adsorption, etc. Nanomaterials have great potential for efficient drug delivery and release, as well as improving therapeutic efficacy while reducing adverse effects. By systematically addressing the role of macrophages in psoriasis pathogenesis and the potential of nanomaterials in treating psoriasis through modulating macrophages, this review enhances our understanding of the disease mechanism and holds promise for novel therapeutic breakthroughs and advancements in the future treatment of psoriasis.

Identification of Differentiation-Related Biomarkers in Liposarcoma Tissues Using Weighted Gene Co-Expression Network Analysis

Huanhuan Zhao, Guochuan Zhang

Article ID: 7700
Vol 37, Issue 12, 2023

DOI: https://doi.org/10.23812/j.biol.regul.homeost.agents.20233712.644

Received: 8 January 2024; Accepted: 8 January 2024; Available online: 8 January 2024; Issue release: 8 January 2024

Abstract

Background: A thorough diagnosis of liposarcoma is essential to develop an optimal therapy. This study aimed to identify differentiation-related biomarkers in liposarcoma. Methods: Expression profiling data were downloaded from the Gene Expression Omnibus (GEO) database. Modules correlated with dedifferentiated liposarcoma were identified using weighted gene co-expression network analysis (WGCNA). Differentially-expressed genes were identified utilizing the limma R package. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were conducted with the clusterProfiler R package. Hub genes were identified by least absolute shrinkage and selection operator (LASSO) analysis. Survival analysis was performed using survival and survminer R packages. Results: The brown module was the most positively correlated module with dedifferentiated liposarcoma, while the turquoise module exhibited the strongest negative correlation with dedifferentiated liposarcoma. Forty-nine upregulated common genes were found by intersecting the upregulated differentially-expressed genes with the co-expressed genes in the brown module, and 177 downregulated common genes were found by intersecting the downregulated differentially-expressed genes with the co-expressed genes in the turquoise module. GO and KEGG analyses revealed that upregulated common genes were abundant in cell division and tumor-related pathways, while downregulated common genes were involved in cellular metabolism and metabolism-related pathways. ADIPOQ, UBE2C, and PRC1 were screened out as biomarkers which might distinguish dedifferentiated and well-differentiated liposarcoma. Dedifferentiated liposarcoma patients with low ADIPOQ levels displayed a significantly shorter distant recurrence-free survival than those with high ADIPOQ levels. Conclusion: ADIPOQ, UBE2C, and PRC1 are potential differentiation-related biomarkers in liposarcoma tissues. ADIPOQ has the potential to be a novel prognostic biomarker for patients with dedifferentiated liposarcoma.

Keywords

WGCNA;LASSO analysis;liposarcoma;differentiation-related biomarker;differential diagnosis

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Dr. Fabio Malavasi

Medical Genetics, University of Torino Medical School, Italy

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Prof. Marcello Iriti

Department of Biomedical, Surgical and Dental Sciences, University of Milan, Italy

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2025-02-01

Notice of Change in Publication Schedule

In addition to the first issue that has already been published by the original publisher, there will be four more issues released this year, with scheduled publication dates in March, June, September, and December respectively.

2025-01-21

Notice: Ownership Transfer of the Journal

Starting from Volume 39 Issue 2 (2025), the ownership of Journal of Biological Regulators and Homeostatic Agents (ISSN: 0393-974X (P); 1724-6083 (O)) will be transferred from Biolife Sas to Asia Pacific Academy of Science Pte. Ltd. As of 21 January 2025, authors should make submissions to the new journal system and follow the author guidelines. Asia Pacific Academy of Science Pte. Ltd. will take over the publication of manuscripts being processed.

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