Bioinformatics analysis and experimental verification of TIGD1 in non-small cell lung cancer

Autor: Lingchun Xia, Zhuofan Yang, Mingming Xv, Guohui Wang, Yaxin Mao, Yihan Yang, Jian Tang
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Frontiers in Medicine, Vol 11 (2024)
Druh dokumentu: article
ISSN: 2296-858X
DOI: 10.3389/fmed.2024.1374260
Popis: IntroductionNon-small cell lung cancer (NSCLC) is a prevalent respiratory system tumor. Triggered transposable element derivative 1 (TIGD1) exhibits significant overexpression in various tumor cells and tissues, suggesting its involvement in cancer progression.MethodsClinical data and gene expression profiles of lung adenocarcinoma were collected from TCGA, UCSC XENA, and GEO databases. Computational techniques and empirical studies were employed to analyze the role of TIGD1 in NSCLC. Cellular experiments were conducted using the H1299 cell line, including RNA interference, cell viability assays, quantitative PCR, wound-healing assays, western blotting, and plate clone formation assays.ResultsBioinformatics analysis revealed TIGD1’s potential as a biomarker for diagnosing and predicting lung cancer. It also indicated promise as a target for immune-related therapy and targeted drug therapy. Cellular studies confirmed TIGD1’s involvement in cancer cell proliferation, invasion, and migration. Furthermore, an association between TIGD1 and the PI3K/AKT signaling pathway was suggested.DiscussionThe findings suggest that TIGD1 plays a vital role in NSCLC progression, making it a potential diagnostic biomarker and therapeutic target. The association with the PI3K/AKT signaling pathway provides insights into the underlying molecular mechanisms. Integrating computational analysis with empirical studies enhances our understanding of TIGD1’s significance in NSCLC and opens avenues for further research into targeted therapies.
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