scholarly journals Identification of alternative splicing and lncRNA genes in pathogenesis of small cell lung cancer based on their RNA sequencing

2019 ◽  
Vol 28 (8) ◽  
pp. 1043-1050 ◽  
Author(s):  
Youming Lei ◽  
Yunfei Shi ◽  
Jin Duan ◽  
Yinqiang Liu ◽  
Guoli Lv ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Alternative Splicing ◽  
Small Cell Lung Cancer ◽  
Rna Sequencing ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Small Cell Lung

Survival-Associated Alternative Splicing Signatures in Non-Small Cell Lung Cancer

2019 ◽  
Author(s):  
Deze Zhao ◽  
Chuantao Zhang ◽  
Yu Liang ◽  
Man Jiang ◽  
Li Wang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Alternative Splicing ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Small Cell Lung

Alternative splicing variants of carbonic anhydrase IX in human non-small cell lung cancer

Lung Cancer ◽  
2009 ◽  
Vol 64 (3) ◽  
pp. 271-276 ◽  
Author(s):  
Francesca Malentacchi ◽  
Lisa Simi ◽  
Caterina Nannelli ◽  
Matteo Andreani ◽  
Alberto Janni ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Alternative Splicing ◽  
Carbonic Anhydrase ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Carbonic Anhydrase Ix ◽  
Small Cell Lung ◽  
Splicing Variants

scholarly journals Prognostic impact of alternative splicing-derived hMENA isoforms in resected, node-negative, non-small-cell lung cancer

Oncotarget ◽  
2014 ◽  
Vol 5 (22) ◽  
pp. 11054-11063 ◽  
Author(s):  
Emilio Bria ◽  
Francesca Di Modugno ◽  
Isabella Sperduti ◽  
Pierluigi Iapicca ◽  
Paolo Visca ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Alternative Splicing ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Prognostic Impact ◽  
Small Cell Lung ◽  
Node Negative ◽  
Resected Node

RNA sequencing identifies novel markers of non-small cell lung cancer

Lung Cancer ◽  
2014 ◽  
Vol 84 (3) ◽  
pp. 229-235 ◽  
Author(s):  
Seon-Sook Han ◽  
Woo Jin Kim ◽  
Yoonki Hong ◽  
Seok-Ho Hong ◽  
Seung-Joon Lee ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Rna Sequencing ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Small Cell Lung

scholarly journals N6-Methyladenosine RNA Methylation Regulator-Related Alternative Splicing (AS) Gene Signature Predicts Non–Small Cell Lung Cancer Prognosis

2021 ◽  
Vol 8 ◽  
Author(s):  
Zhenyu Zhao ◽  
Qidong Cai ◽  
Pengfei Zhang ◽  
Boxue He ◽  
Xiong Peng ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Alternative Splicing ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Regulatory Genes ◽  
Mrna Splicing ◽  
Cancer Prognosis ◽  
Small Cell Lung ◽  
Rna Methylation

Aberrant N6-methyladenosine (m6A) RNA methylation regulatory genes and related gene alternative splicing (AS) could be used to predict the prognosis of non–small cell lung carcinoma. This study focused on 13 m6A regulatory genes (METTL3, METTL14, WTAP, KIAA1429, RBM15, ZC3H13, YTHDC1, YTHDC2, YTHDF1, YTHDF2, HNRNPC, FTO, and ALKBH5) and expression profiles in TCGA-LUAD (n = 504) and TCGA-LUSC (n = 479) datasets from the Cancer Genome Atlas database. The data were downloaded and bioinformatically and statistically analyzed, including the gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses. There were 43,948 mRNA splicing events in lung adenocarcinoma (LUAD) and 46,020 in lung squamous cell carcinoma (LUSC), and the data suggested that m6A regulators could regulate mRNA splicing. Differential HNRNPC and RBM15 expression was associated with overall survival (OS) of LUAD and HNRNPC and METTL3 expression with the OS of LUSC patients. Furthermore, the non–small cell lung cancer prognosis-related AS events signature was constructed and divided patients into high- vs. low-risk groups using seven and 14 AS genes in LUAD and LUSC, respectively. The LUAD risk signature was associated with gender and T, N, and TNM stages, but the LUSC risk signature was not associated with any clinical features. In addition, the risk signature and TNM stage were independent prognostic predictors in LUAD and the risk signature and T stage were independent prognostic predictors in LUSC after the multivariate Cox regression and receiver operating characteristic analyses. In conclusion, this study revealed the AS prognostic signature in the prediction of LUAD and LUSC prognosis.

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