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Identification and validation of susceptibility modules and hub genes of adrenocortical carcinoma through WGCNA and machine learning.

作者信息

Yang Yaoming, Wang Xinbao, Wu Liuqing, Zhao Shihua, Chen Ran, Yu Guoyong

机构信息

Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100007, China.

School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China.

出版信息

Discov Oncol. 2025 May 3;16(1):663. doi: 10.1007/s12672-025-02396-4.


DOI:10.1007/s12672-025-02396-4
PMID:40317315
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12049343/
Abstract

PURPOSE: Adrenocortical carcinoma (ACC) is a rare and aggressive endocrine malignancy characterized by rapid progression, significantly impacting patients' quality of life. Analyzing gene co-expression modules offers valuable insights into the molecular mechanisms driving ACC progression. In this study, we applied Weighted Gene Co-Expression Network Analysis (WGCNA) to identify gene co-expression modules associated with ACC progression. METHODS: Before conducting WGCNA, differential gene expression and immune infiltration analyses were performed on the GSE90713 dataset (available at https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi ). Dynamic tree cutting was utilized to identify co-expression modules, which were subsequently analyzed to determine their correlations and associations with traits. A total of 21 co-expression modules were identified, with the yellow module demonstrating a strong correlation with the progression of ACC. Enrichment analysis was carried out on differentially expressed genes, the yellow module, cross-module interactions, and the final hub genes to identify the associated Biological Processes (BPs) and pathways relevant to ACC. Additionally, the CIBERSORT algorithm was employed to predict immune cell infiltration in ACC. RESULTS: The enrichment analysis revealed that pathways associated with cell division, protein synthesis, and metabolism play significant roles in the progression of ACC. Additionally, CDK1, AURKA, CCNB2, BIRC5, CCNB1, TYMS, and TOP2A were identified as key regulatory hub genes. Survival analysis further demonstrated that elevated expression levels of these genes in ACC tissues are significantly correlated with lower overall survival rates in patients, underscoring their critical involvement in ACC development and progression. CONCLUSION: This study sheds light on the mechanisms underlying ACC progression and highlights potential therapeutic targets. By identifying specific immune cell subtypes associated with ACC, the findings may aid in developing immune modulation therapies aimed at preventing or treating ACC.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b39/12049343/f85249a7c43b/12672_2025_2396_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b39/12049343/49297c857d01/12672_2025_2396_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b39/12049343/e32a74064b35/12672_2025_2396_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b39/12049343/6552ecef2ebe/12672_2025_2396_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b39/12049343/264f924b48f3/12672_2025_2396_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b39/12049343/da30760caea0/12672_2025_2396_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b39/12049343/bfd062e4a94a/12672_2025_2396_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b39/12049343/19d63a503d6d/12672_2025_2396_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b39/12049343/f85249a7c43b/12672_2025_2396_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b39/12049343/49297c857d01/12672_2025_2396_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b39/12049343/e32a74064b35/12672_2025_2396_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b39/12049343/6552ecef2ebe/12672_2025_2396_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b39/12049343/264f924b48f3/12672_2025_2396_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b39/12049343/da30760caea0/12672_2025_2396_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b39/12049343/bfd062e4a94a/12672_2025_2396_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b39/12049343/19d63a503d6d/12672_2025_2396_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b39/12049343/f85249a7c43b/12672_2025_2396_Fig8_HTML.jpg

相似文献

[1]
Identification and validation of susceptibility modules and hub genes of adrenocortical carcinoma through WGCNA and machine learning.

Discov Oncol. 2025-5-3

[2]
Identification of co-expressed genes and immune infiltration features related to the progression of atherosclerosis.

J Appl Genet. 2024-5

[3]
Identification of key modules and prognostic markers in adrenocortical carcinoma by weighted gene co-expression network analysis.

Oncol Lett. 2019-10

[4]
Identification of four hub genes associated with adrenocortical carcinoma progression by WGCNA.

PeerJ. 2019-3-14

[5]
Identification of key genes and pathways in adrenocortical carcinoma: evidence from bioinformatic analysis.

Front Endocrinol (Lausanne). 2023

[6]
Co-expression Network Analysis of Biomarkers for Adrenocortical Carcinoma.

Front Genet. 2018-8-15

[7]
Screening and identification of key biomarkers in adrenocortical carcinoma based on bioinformatics analysis.

Oncol Lett. 2019-11

[8]
Identification of uterine leiomyosarcoma-associated hub genes and immune cell infiltration pattern using weighted co-expression network analysis and CIBERSORT algorithm.

World J Surg Oncol. 2021-7-28

[9]
Exploring the Immune Landscape of Cirrhosis through Weighted Gene Co-expression Network Analysis.

Cell Mol Biol (Noisy-le-grand). 2023-6-30

[10]
Immune-related gene characterization and biological mechanisms in major depressive disorder revealed based on transcriptomics and network pharmacology.

Front Psychiatry. 2024-12-6

本文引用的文献

[1]
Dlk1 is a novel adrenocortical stem/progenitor cell marker that predicts malignancy in adrenocortical carcinoma.

Cancer Commun (Lond). 2025-6

[2]
European Society of Endocrinology clinical practice guidelines on the management of adrenal incidentalomas, in collaboration with the European Network for the Study of Adrenal Tumors.

Eur J Endocrinol. 2023-7-20

[3]
Comprehensive pan-cancer analysis and the regulatory mechanism of AURKA, a gene associated with prognosis of ferroptosis of adrenal cortical carcinoma in the tumor micro-environment.

Front Genet. 2023-1-4

[4]
T follicular helper cells in cancer.

Trends Cancer. 2023-4

[5]
Bioinformatics analysis of BIRC5 in human cancers.

Ann Transl Med. 2022-8

[6]
Shaping Polarization Of Tumor-Associated Macrophages In Cancer Immunotherapy.

Front Immunol. 2022

[7]
Spindle and Kinetochore-Associated Complex Is Associated With Poor Prognosis in Adrenocortical Carcinoma.

J Surg Res. 2022-9

[8]
Whole Transcriptome Profiling of Adrenocortical Tumors Using Formalin-Fixed Paraffin-Embedded Samples.

Front Endocrinol (Lausanne). 2022

[9]
Adrenocortical Carcinoma in Childhood: A Systematic Review.

Cancers (Basel). 2021-10-20

[10]
A viroporin-like 2B protein of duck hepatitis A virus 1 that induces incomplete autophagy in DEF cells.

Poult Sci. 2021-10

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