Premium
tRNA‐based prognostic score in predicting survival outcomes of lung adenocarcinomas
Author(s) -
Kuang Muyu,
Zheng Difan,
Tao Xiaoting,
Peng Yizhou,
Pan Yunjian,
Zheng Shanbo,
Zhang Yang,
Li Hang,
Yuan Chongze,
Zhang Yawei,
Xiang Jiaqing,
Li Yuan,
Chen Haiquan,
Sun Yihua
Publication year - 2019
Publication title -
international journal of cancer
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.475
H-Index - 234
eISSN - 1097-0215
pISSN - 0020-7136
DOI - 10.1002/ijc.32250
Subject(s) - transfer rna , adenocarcinoma , lung cancer , biology , adenocarcinoma of the lung , proportional hazards model , cancer research , carcinogenesis , lung , cancer , oncology , medicine , rna , genetics , gene
As the most abundant noncoding RNA in cells, tRNA plays an important role in tumorigenesis and development. The report of tRNA on the pathogenesis of lung adenocarcinoma is rare. It is of great clinical significance to explore the relationship between tRNA expression and prognosis of lung adenocarcinoma. The expression level of tRNAs in lung adenocarcinoma tissues and paracarcinoma tissues was detected using a tRNA RT‐qPCR array. A total of 104 lung adenocarcinomas were included in the analysis of the correlation between candidate tRNAs expression and prognosis. A tRNA‐based prognostic model was constructed and validated using Cox proportional hazards regression. A nomogram was built to help clinicians develop treatment strategies. We screened a series of differentially expressed tRNAs between lung adenocarcinoma tissues and paracarcinoma tissues. Among these tRNAs, tRNA Asn ATT , tRNA Ile AAT , tRNA Leu TAA , mt‐tRNA Trp TCA , mt‐tRNA Leu TAA , tRNA Pro AGG , tRNA Lys CTT ‐1 and tRNA Leu AAG were associated with the clinicopathological characteristics of lung adenocarcinoma. tRNA Lys CTT ‐1 , mt‐tRNA Ser GCT and tRNA Tyr ATA were associated with cancer‐specific survival. We constructed a prognostic model for lung adenocarcinoma using specific tRNA expression levels as reference factors. Multivariate analyses showed that tRNA‐based prognostic score was a significant and important prognostic factor. The prognostic model based on the tRNAs expression signatures can help predict the prognosis of patients with lung adenocarcinoma.