Identification of multiomics map and key biomarkers in uveal melanoma with chromosome 3 loss.

GRIN2A chromosome 3 machine learning multiomics uveal melanoma

Journal

Annals of medicine and surgery (2012)
ISSN: 2049-0801
Titre abrégé: Ann Med Surg (Lond)
Pays: England
ID NLM: 101616869

Informations de publication

Date de publication:
Feb 2024
Historique:
received: 06 11 2023
accepted: 24 11 2023
medline: 9 2 2024
pubmed: 9 2 2024
entrez: 9 2 2024
Statut: epublish

Résumé

Chromosome 3 loss is an independent risk factor for uveal melanoma (UM), but its exact molecular mechanisms remain unclear. This study was designed to investigate the relationship between chromosome 3 loss and molecular alterations at multiple levels to construct a prognostic model. Forty-four UM cases with chromosome 3 loss (chr3 del group) and 36 UM cases without copy number variation on chromosome 3 (chr3 wt group) were collected from the Cancer Genome Atlas (TCGA). The TCGA dataset was subjected to a univariate Cox regression analysis to identify different expressed genes, and a subsequent random forest algorithm analysis revealed significant changes in different expressed genes, which were used to develop key biomarkers for UM. Following that, the immune cell infiltration analysis and drug sensitivity analyses were carried out. The UM cell line was then utilized to investigate the potential functions of the key biomarker via cell apoptosis, proliferation, cycle assays, WB, and RT-qPCR. By analyzing the 80 cases data in TCGA, the authors unveiled molecular changes relevant to loss of chromosome 3 in UM as well as their poor survival. In addition, machine learning analysis identified three hub genes (GRIN2A, ACAN, and MMP9) as potential therapeutic targets. The differentially enriched pathways between the two groups were mainly about immune-system activity, and hub genes expression was also highly correlated with immune infiltration levels. Chromosome 3 loss has considerable clinical significance for UM, and GRIN2A may be useful in diagnosing, treating, and prognosticating the condition.

Identifiants

pubmed: 38333293
doi: 10.1097/MS9.0000000000001585
pii: AMSU-D-23-02430
pmc: PMC10849387
doi:

Types de publication

Journal Article

Langues

eng

Pagination

831-841

Informations de copyright

Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.Sponsorships or competing interests that may be relevant to content are disclosed at the end of this article.

Auteurs

Xi Yong (X)

Vascular Surgery Department of Affiliated Hospital of North Sichuan Medical College.
Hepatobiliary, Pancreatic and Intestinal Research Institute of North Sichuan Medical College.

Tengyao Kang (T)

Vascular Surgery Department of Affiliated Hospital of North Sichuan Medical College.
Department of Clinical Medicine, North Sichuan Medical College.

Tingting Li (T)

Department of Pharmacy, The Second Affiliated Hospital of North Sichuan Medical College.
Department of Pharmacology, School of Pharmacy, Guangxi Medical University, Nanning, Guangxi, People's Republic of China.

Sixuan Li (S)

Vascular Surgery Department of Affiliated Hospital of North Sichuan Medical College.

Xuerui Hu (X)

Endocrine Department of Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan.

Xiang Yan (X)

Vascular Surgery Department of Affiliated Hospital of North Sichuan Medical College.

Fuzhao Zhang (F)

Vascular Surgery Department of Affiliated Hospital of North Sichuan Medical College.

Jianghua Zheng (J)

Vascular Surgery Department of Affiliated Hospital of North Sichuan Medical College.

Qin Yang (Q)

Infectious Diseases D of Affiliated Hospital of North Sichuan Medical College.

Classifications MeSH