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Published on: July 21, 2018
KIF11, a plus end-directed kinesin, as a key gene in benzo(a)pyrene-induced non-small cell lung cancer
Junjun Ling1, Yuhong Wang2, Lihai Ma2
1Department of Oncology, Chongqing Hospital of Traditional Chinese Medicine, Chongqing, China; Affiliated Hospital of Guizhou Medical University, Guiyang, China.
Abstract:
Evidence indicates that Benzo(a)pyrenediol-epoxide (BPDE) can damage lung cells, resulting in carcinogenesis with complex mechanisms. We aimed to explore the genes and pathway variations in this process. First, the key gene was screened out and identified through data mining, and then, it was in turn validated by bioinformatics analysis and experimental methods. Consequently, 106 up-regulated and 260 down-regulated differentially expressed genes were yielded, which were enriched in various pathways, such as Cell cycle, and p53 signaling pathway. Then, KIF11 was identified as the key gene. Overexpression of KIF11 in lung cancer had a correlation with advanced pathological grade, advanced T stage, and presence of lymph node metastasis, which predicted poor prognosis. In summary, the present study revealed that KIF11 might be a key gene in the tumorigenesis of BPDE-related lung cancer, raising the possibility of KIF11 as a target for BPDE-induced lung cancer prevention and therapy.
Insights
Benzo(a)pyrenediol-epoxide (BPDE) exposure damages lung cells, potentially causing cancer. This study identifies KIF11 as a key gene in BPDE-induced lung tumorigenesis, suggesting it as a therapeutic target.
Area of Science:
- Molecular biology
- Cancer research
- Bioinformatics
Background:
- Benzo(a)pyrenediol-epoxide (BPDE) is a known lung carcinogen.
- The precise molecular mechanisms underlying BPDE-induced lung carcinogenesis are complex.
- Identifying key genes and pathways is crucial for understanding and targeting this process.
Purpose of the Study:
- To identify key genes and pathway variations involved in BPDE-induced lung carcinogenesis.
- To validate the role of identified genes using bioinformatics and experimental methods.
- To explore the potential of identified genes as therapeutic targets for lung cancer.
Main Methods:
- Data mining to screen for key genes.
- Bioinformatics analysis for gene validation and pathway enrichment.
- Experimental validation of gene expression and its correlation with clinical outcomes.
Main Results:
- 106 up-regulated and 260 down-regulated differentially expressed genes were identified.
- Enriched pathways include Cell cycle and p53 signaling pathway.
- KIF11 was identified as a key gene, with its overexpression correlating with advanced tumor stage, lymph node metastasis, and poor prognosis in lung cancer.
Conclusions:
- KIF11 plays a significant role in the tumorigenesis of BPDE-related lung cancer.
- KIF11 represents a potential therapeutic target for preventing and treating BPDE-induced lung cancer.
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