Evaluating the Expression and Prognostic Value of Genes Encoding Microtubule-Associated Proteins in Lung Cancer
| Autor: | Natsaranyatron Singharajkomron, Varalee Yodsurang, Suthasinee Seephan, Sakkarin Kungsukool, Supinda Petchjorm, Nara Maneeganjanasing, Warunyu Promboon, Wadsana Dangwilailuck, Varisa Pongrakhananon |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Lung Neoplasms
Organic Chemistry Kinesins Adenocarcinoma of Lung General Medicine Prognosis Catalysis Computer Science Applications Inorganic Chemistry Gene Expression Regulation Neoplastic diagnosis gene expression lung cancer microtubule-associated proteins prognosis Carcinoma Non-Small-Cell Lung Biomarkers Tumor Carcinoma Squamous Cell Humans NIMA-Related Kinases Physical and Theoretical Chemistry Molecular Biology Microtubule-Associated Proteins Spectroscopy |
| Zdroj: | International Journal of Molecular Sciences; Volume 23; Issue 23; Pages: 14724 |
| ISSN: | 1422-0067 |
| DOI: | 10.3390/ijms232314724 |
| Popis: | Microtubule-associated proteins (MAPs) play essential roles in cancer development. This study aimed to identify transcriptomic biomarkers among MAP genes for the diagnosis and prognosis of lung cancer by analyzing differential gene expressions and correlations with tumor progression. Gene expression data of patients with lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) from the Cancer Genome Atlas (TCGA) database were used to identify differentially expressed MAP genes (DEMGs). Their prognostic value was evaluated by Kaplan–Meier and Cox regression analysis. Moreover, the relationships between alterations in lung cancer hallmark genes and the expression levels of DEMGs were investigated. The candidate biomarker genes were validated using three independent datasets from the Gene Expression Omnibus (GEO) database and by quantitative reverse transcription polymerase chain reaction (qRT-PCR) on clinical samples. A total of 88 DEMGs were identified from TCGA data. The 20 that showed the highest differential expression were subjected to association analysis with hallmark genes. Genetic alterations in TP53, EGFR, PTEN, NTRK1, and PIK3CA correlated with the expression of most of these DEMGs. Of these, six candidates—NUF2, KIF4A, KIF18B, DLGAP5, NEK2, and LRRK2—were significantly differentially expressed and correlated with the overall survival (OS) of the patients. The mRNA expression profiles of these candidates were consistently verified using three GEO datasets and qRT-PCR on patient lung tissues. The expression levels of NUF2, KIF4A, KIF18B, DLGAP5, NEK2, and LRRK2 can serve as diagnostic biomarkers for LUAD and LUSC. Moreover, the first five can serve as prognostic biomarkers for LUAD, while LRRK2 can be a prognostic biomarker for LUSC. Our research describes the novel role and potential application of MAP-encoding genes in clinical practice. |
| Databáze: | OpenAIRE |
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