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Low Expression of SCN4B Predicts Poor Prognosis in Non-Small Cell Lung Cancer.
Li, Xia; Chen, Weiwei; Jiang, Shu; Zhang, Lianlian; Huang, Hua; Ji, Yanan; Ni, Qinggan; Ling, Chunhua.
Affiliation
  • Li X; Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, 215006, PR China.
  • Chen W; Department of General Medicine, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, 224000, PR China.
  • Jiang S; Department of Radiation Therapy, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, 224000, PR China.
  • Zhang L; Department of Magnetic Resonance, Yancheng Clinical College of Xuzhou Medical University, Yancheng No 1 people's Hospital, Yancheng, 224000, PR China.
  • Huang H; Department of Ultrasound Imaging, Yancheng Clinical College of Xuzhou Medical University, Yancheng No 1 people's Hospital, Yancheng, 224000, PR China.
  • Ji Y; Department of Pathology, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu, China.
  • Ni Q; The Central Laboratory, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, 224000, PR China.
  • Ling C; Department of Burns and Plastic Surgery, Yancheng Clinical College of Xuzhou Medical University, The First people's Hospital of Yancheng, Yancheng, 224000, PR China.
Article in En | MEDLINE | ID: mdl-38956906
ABSTRACT

BACKGROUND:

Sodium voltage-gated channel beta subunit 4 (SCN4B) plays a suppressive role in various tumors. However, the role of SCN4B in non-small cell lung cancer (NSCLC) is not yet clear. This study aims to investigate the expression of SCN4B in NSCLC patients and its correlation with prognosis.

METHODS:

Firstly, the expression of SCN4B in non-small cell lung cancer (NSCLC) was analyzed using The Cancer Genome Atlas (TCGA) database. Then, differential expression genes (DEGs) were identified using R software. Next, DEG enrichment pathways were analyzed using the R package clusterProfiler. Protein-protein interaction networks were revealed through STRING analysis. A heatmap showed significant differential expression of SCN4B. Further analysis included examining SCN4B expression in a pan-cancer context and its correlation with 24 types of immune cells in NSCLC. Subsequently, quantitative real-time polymerase chain reaction (qRT-PCR), Western Blot, immunohistochemistry, and clinical data were used to validate SCN4B expression and prognostic value in NSCLC patients.

RESULTS:

SCN4B mRNA expression in non-small cell lung cancer tissues was significantly lower than in adjacent normal tissues (p < 0.001). Clinical correlation analysis confirmed its association with clinical pathology. Gene set enrichment analysis (GSEA) and tumor immune-related analyses indicated that SCN4B is involved in NSCLC-related Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and participates in immune infiltration. qRT-PCR, Western Blot, and immunohistochemistry also confirmed that SCN4B is downregulated in NSCLC patients and is associated with poor prognosis.

CONCLUSION:

SCN4B is downregulated in tumor tissues of NSCLC patients and is associated with a poor prognosis.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Curr Cancer Drug Targets / Current cancer drug targets (Online) Journal subject: ANTINEOPLASICOS / NEOPLASIAS Year: 2024 Document type: Article Country of publication: Países Bajos

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Curr Cancer Drug Targets / Current cancer drug targets (Online) Journal subject: ANTINEOPLASICOS / NEOPLASIAS Year: 2024 Document type: Article Country of publication: Países Bajos