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GNA14可能是鼻咽癌潜在的预后生物标志物。

GNA14 may be a potential prognostic biomarker in nasopharyngeal carcinoma.

作者信息

Hao Jinrong, Yu Xia, Xiong Lei, Deng Li, Lian Shifeng, Sun Shijun, Li Xiaoling, Du Yun, Ji Mingfang

机构信息

Cancer Research Institute of Zhongshan City, Zhongshan City People's Hospital, Zhongshan, China.

Department of Pathology, Zhongshan City People's Hospital, Zhongshan, China.

出版信息

Front Oncol. 2024 Nov 26;14:1482038. doi: 10.3389/fonc.2024.1482038. eCollection 2024.

DOI:10.3389/fonc.2024.1482038
PMID:39659788
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11628407/
Abstract

BACKGROUND

Nasopharyngeal carcinoma (NPC) is a highly invasive malignant tumor. Recurrence and distant metastasis represent the primary causes of treatment failure. This study aimed to identify biomarkers highly associated with NPC and investigate its roles in tumor progression.

METHODS

Transcriptome sequencing (RNA-seq) data of NPC and normal tissues were downloaded from the Gene Expression Omnibus (GEO) database. By analyzing the RNA-seq data, we found that G Protein Subunit Alpha 14 (GNA14) is closely associated with the diagnosis and prognosis of NPC. Immunohistochemistry (IHC) was used to detect the expression of GNA14 in tumor tissues of 165 NPC patients, and we analyzed the relationship between GNA14 expression and patient prognosis. The potential mechanisms by which GNA14 affects tumor prognosis were preliminarily analyzed using bioinformatics analysis.

RESULTS

Analysis of RNA-seq data and IHC showed that GNA14 expression was downregulated in NPC ( < 0.001, < 0.01, respectively), and low expression of GNA14 was closely associated with poor prognosis. IHC analysis showed that patients with low GNA14 expression had significantly shorter progression-free survival (PFS) and distant metastasis-free survival (DMFS) than those with high GNA14 expression ( = 0.023, = 0.008, respectively). Multivariate analysis indicated that the GNA14 expression was an independent risk factor for DMFS ( = 0.030). The DMFS nomogram included GNA14 expression, EBV DNA, and N stage as prognostic factors and the concordance index (C-index) of the nomogram was 0.73. Bioinformatics analysis indicated that NPC patients with low GNA14 expression might represent lower levels of immune cell infiltration and poorer drug sensitivity.

CONCLUSION

Low GNA14 expression may be a risk factor for poor prognosis in NPC.

摘要

背景

鼻咽癌(NPC)是一种具有高度侵袭性的恶性肿瘤。复发和远处转移是治疗失败的主要原因。本研究旨在鉴定与鼻咽癌高度相关的生物标志物,并研究其在肿瘤进展中的作用。

方法

从基因表达综合数据库(GEO)下载鼻咽癌和正常组织的转录组测序(RNA-seq)数据。通过分析RNA-seq数据,我们发现G蛋白亚基α14(GNA14)与鼻咽癌的诊断和预后密切相关。采用免疫组织化学(IHC)检测165例鼻咽癌患者肿瘤组织中GNA14的表达,并分析GNA14表达与患者预后的关系。利用生物信息学分析初步探讨GNA14影响肿瘤预后的潜在机制。

结果

RNA-seq数据和IHC分析显示,鼻咽癌中GNA14表达下调(分别为<0.001,<0.01),GNA14低表达与预后不良密切相关。IHC分析显示,GNA14低表达患者的无进展生存期(PFS)和无远处转移生存期(DMFS)明显短于GNA14高表达患者(分别为=0.023,=0.008)。多因素分析表明,GNA14表达是DMFS的独立危险因素(=0.030)。DMFS列线图包括GNA14表达、EBV DNA和N分期作为预后因素,列线图的一致性指数(C-index)为0.73。生物信息学分析表明,GNA14低表达的鼻咽癌患者可能免疫细胞浸润水平较低,药物敏感性较差。

结论

GNA14低表达可能是鼻咽癌预后不良的危险因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eed4/11628407/305fe728f458/fonc-14-1482038-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eed4/11628407/b71c35c0eab8/fonc-14-1482038-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eed4/11628407/bd3d27aac58c/fonc-14-1482038-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eed4/11628407/f373762d142c/fonc-14-1482038-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eed4/11628407/e07886a594f1/fonc-14-1482038-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eed4/11628407/8677b7d25537/fonc-14-1482038-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eed4/11628407/305fe728f458/fonc-14-1482038-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eed4/11628407/b71c35c0eab8/fonc-14-1482038-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eed4/11628407/bd3d27aac58c/fonc-14-1482038-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eed4/11628407/f373762d142c/fonc-14-1482038-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eed4/11628407/e07886a594f1/fonc-14-1482038-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eed4/11628407/8677b7d25537/fonc-14-1482038-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eed4/11628407/305fe728f458/fonc-14-1482038-g006.jpg

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Integrated transcriptome sequencing and weighted gene co-expression network analysis reveals key genes of papillary thyroid carcinomas.整合转录组测序和加权基因共表达网络分析揭示甲状腺乳头状癌的关键基因。
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