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Identification of an independent autophagy-gene prognostic index for papillary renal cell carcinoma

BACKGROUND: Autophagy was a significant catabolic process which played a critical role in the maintenance of cellular homeostasis and viability in a stressed state. The dysregulation of autophagy was correlated with various diseases. The aim of our study was to develop a prognostic signature for pap...

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Detalles Bibliográficos
Autores principales: Wei, Xiyi, Wang, Wei, Wang, Hongye, Wang, Yamin, Wang, Yichun, Li, Guangyao, Ji, Chengjian, Ren, Xiaohan, Song, Ninghong, Qin, Chao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7658136/
https://www.ncbi.nlm.nih.gov/pubmed/33209659
http://dx.doi.org/10.21037/tau-20-906
Descripción
Sumario:BACKGROUND: Autophagy was a significant catabolic process which played a critical role in the maintenance of cellular homeostasis and viability in a stressed state. The dysregulation of autophagy was correlated with various diseases. The aim of our study was to develop a prognostic signature for papillary renal cell carcinoma (RCC). METHODS: First, 40 differently expressed genes related with autophagy (ARGs) were examined via high-throughput sequencing and large-scale databases. Then, functional enrichment analysis was performed to explore the biological attributes of these ARGs. The Cox proportional hazard regression hinted that four ARGs (P4HB, BIRC5, NGR1 and PRKN) were significantly correlated with overall survival (OS). Thus, we got genes with prognostic value. Finally, a prognostic index (PI) was constructed. RESULTS: After identifying the 4 ARGs, we profiled our risk signature. Based on the PI we developed, papillary RCC patients were stratified into high-risk and low-risk groups. High-risk patients had significant shorter OS than low-risk patients (P<0.001) and the mortality of high scoring patients was higher than low scoring patients. Additionally, we explored the relationship between the 4 ARGs and clinical parameters and found that the expression of P4HB, BIRC5 and NGR1 was correlated with clinicopathological features. CONCLUSIONS: Our study suggested that the four-gene signature was an independent prognostic factor which could act as a novel indicator for the prognosis of papillary RCC.