Cargando…
Low-Level Expression of MTUS1 Is Associated with Poor Survival in Patients with Lung Adenocarcinoma
Microtubule-associated tumor suppressor 1 (MTUS1) is thought to be downregulated in arious human cancers, which suggests its role as a tumor suppressor. This study investigated the clinicopathological significance of MTUS1 expression in lung adenocarcinoma. Tissue microarray blocks consisting of 161...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8306423/ https://www.ncbi.nlm.nih.gov/pubmed/34359333 http://dx.doi.org/10.3390/diagnostics11071250 |
Sumario: | Microtubule-associated tumor suppressor 1 (MTUS1) is thought to be downregulated in arious human cancers, which suggests its role as a tumor suppressor. This study investigated the clinicopathological significance of MTUS1 expression in lung adenocarcinoma. Tissue microarray blocks consisting of 161 cases were constructed, and immunohistochemical staining was used to assess MTUS1 expression. Correlations of MTUS1 expression and clinicopathological parameters were analyzed. In addition, we used public databases and performed bioinformatics analysis. Low level of MTUS1 was significantly associated with higher clinical stage (p = 0.006), higher tumor stage (p = 0.044), lymph node metastasis (p = 0.01), worse histologic grade (p = 0.007), lymphovascular invasion (p = 0.014), and higher Ki-67 proliferation index (p < 0.001). Patients with low MTUS1 expression also showed shorter disease-free survival (p = 0.002) and cancer-specific survival (p = 0.006). Analysis of data from the Cancer Genome Atlas confirmed that the mRNA expression of MTUS1 in lung adenocarcinoma was significantly lower than that of normal lung tissue (p = 0.02), and patients with decreased MTUS1 expression showed significantly shorter overall survival (p = 0.008). These results suggest that MTUS1 may be a potential biomarker for predicting clinical outcomes in lung adenocarcinoma patients. |
---|