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.2024 Jun 14;14(1):13796.
doi: 10.1038/s41598-024-64162-w.

Screening of co-expressed genes in hypopharyngeal carcinoma with esophageal carcinoma based on RNA sequencing and Clinical Research

Affiliations

Screening of co-expressed genes in hypopharyngeal carcinoma with esophageal carcinoma based on RNA sequencing and Clinical Research

Jianing Zhang et al. Sci Rep..

Abstract

To explore the hub comorbidity genes and potential pathogenic mechanisms of hypopharyngeal carcinoma with esophageal carcinoma, and evaluate their diagnostic value for hypopharyngeal carcinoma with co-morbid esophageal carcinoma. We performed gene sequencing on tumor tissues from 6 patients with hypopharyngeal squamous cell carcinoma with esophageal squamous cell carcinoma (hereafter referred to as "group A") and 6 patients with pure hypopharyngeal squamous cell carcinoma (hereafter referred to as "group B"). We analyzed the mechanism of hub genes in the development and progression of hypopharyngeal squamous cell carcinoma with esophageal squamous cell carcinoma through bioinformatics, and constructed an ROC curve and Nomogram prediction model to analyze the value of hub genes in clinical diagnosis and treatment. 44,876 genes were sequenced in 6 patients with group A and 6 patients with group B. Among them, 76 genes showed significant statistical differences between the group A and the group B.47 genes were expressed lower in the group A than in the group B, and 29 genes were expressed higher. The top five hub genes were GABRG2, CACNA1A, CNTNAP2, NOS1, and SCN4B. GABRG2, CNTNAP2, and SCN4B in the hub genes have high diagnostic value in determining whether hypopharyngeal carcinoma patients have combined esophageal carcinoma (AUC: 0.944, 0.944, 0.972). These genes could possibly be used as potential molecular markers for assessing the risk of co-morbidity of hypopharyngeal carcinoma combined with esophageal carcinoma.

Keywords: Bioinformatics analysis; Hypopharyngeal squamous cell carcinoma combined with esophageal squamous cell carcinoma; Nomogram; RNA sequencing; ROC curve.

© 2024. The Author(s).

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Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Differential expression genes volcano diagram.
Figure 2
Figure 2
Differential expression genes heatmap.
Figure 3
Figure 3
GO result bar chart, showing the top 30 most significant GO items for BP, CC, and MF.
Figure 4
Figure 4
Significantly enriched KEGG pathways of DEGs in HPSCC.
Figure 5
Figure 5
The visualization results of differentially expressed genes in the STRING database.
Figure 6
Figure 6
The protein interaction network results in differentially expressed genes, where nodes represent genes and lines represent interactions between two genes. The more lines connected to a node, the greater its connectivity, indicating the importance of the node gene in the network.
Figure 7
Figure 7
The visualization results of hub genes.
Figure 8
Figure 8
The ROC curve results for the hub genes.
Figure 9
Figure 9
The nomogram for the hub genes. Based on the results of patient genetic testing, corresponding shubs can be obtained for the expression level of each gene. Adding all score hubs can predict the risk of comorbidity of esophageal carcinoma in patients with hypopharyngeal carcinoma.
Figure 10
Figure 10
The results of PCR detection of LINC00470, CYP2B7P, NKX2-8, CADM3, MIPOL1 and ZFP82 are shown in Fig. 9, * indicatesp < 0.05, *** indicatesp < 0.001, and the results are statistically significant, and the detection of the expression is basically the same as the sequencing results. Group A is hypopharyngeal cancer combined with esophageal cancer, Group B is hypopharyngeal cancer.
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