Evidence map›Paper›PMID 38333293›Full record

ArticleAnnals of medicine and surgery (2012)2024

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

Xi Yong, Tengyao Kang, Tingting Li, Sixuan Li, Xuerui Hu, Xiang Yan, Fuzhao Zhang, Jianghua Zheng, Qin Yang

Open access · diamondAbstract read
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Article in Annals of medicine and surgery (2012), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed, 0 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Xi YongVascular Surgery Department of Affiliated Hospital of North Sichuan Medical College.
Tengyao KangVascular Surgery Department of Affiliated Hospital of North Sichuan Medical College.
Tingting LiDepartment of Pharmacy, The Second Affiliated Hospital of North Sichuan Medical College.
Sixuan LiVascular Surgery Department of Affiliated Hospital of North Sichuan Medical College.
Xuerui HuEndocrine Department of Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan.
Xiang YanVascular Surgery Department of Affiliated Hospital of North Sichuan Medical College.
Fuzhao ZhangVascular Surgery Department of Affiliated Hospital of North Sichuan Medical College.
Jianghua ZhengVascular Surgery Department of Affiliated Hospital of North Sichuan Medical College.
Qin YangInfectious Diseases D of Affiliated Hospital of North Sichuan Medical College.
Affiliated Hospital of North Sichuan Medical College · CNGuangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: 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. Methods: 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. Results: 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. Conclusion: Chromosome 3 loss has considerable clinical significance for UM, and GRIN2A may be useful in diagnosing, treating, and prognosticating the condition.

Indexed as

chromosome 3GRIN2Amachine learningmultiomicsuveal melanoma

Identifiers

PMID38333293
PMCPMC10849387
OpenAlexW4390542037

What OpenQuestion holds

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.