scholarly journals An eight-long non-coding RNA signature as a candidate prognostic biomarker for lung cancer

2016 ◽  
Vol 36 (1) ◽  
pp. 215-222 ◽  
Author(s):  
ZHENBO TU ◽  
DU HE ◽  
XINZHOU DENG ◽  
MENG XIONG ◽  
XIAOXING HUANG ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Prognostic Biomarker ◽  
Non Coding Rna ◽  
Long Non Coding Rna ◽  
Rna Signature

scholarly journals Integrated Analysis Reveals That Long Non-Coding RNA TUBA4B Can Be Used as a Prognostic Biomarker in Various Cancers

2018 ◽  
Vol 49 (2) ◽  
pp. 530-544 ◽  
Author(s):  
Ting Zhang ◽  
Dong-ming Wu ◽  
Shi-hua Deng ◽  
Rong Han ◽  
Teng Liu ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Prognostic Biomarker ◽  
Meta Analysis ◽  
Normal Lung ◽  
Integrated Analysis ◽  
Tumor Type ◽  
Free Survival ◽  
Non Coding Rna ◽  
Tumor Tissues ◽  
Long Non Coding Rna

Background/Aims: Recent studies have reported the importance of tubulin alpha 4b (TUBA4B), a long non-coding RNA, in the development of several cancers; however, studies on its clinical significance are rare. In the present meta-analysis, we investigated whether TUBA4B can be used as a prognostic biomarker in human cancers. Methods: A comprehensive search was performed in PubMed, Embase, Web of Science, and the Gene Expression Omnibus databases. Hazard ratios from individual studies were calculated and pooled using a random-effects or fix-effects model. The pooled hazard ratio (HR) with 95% confidence interval (CI) was used to evaluate the value of TUBA4B. The expression of TUBA4B was evaluated in lung cancer tissue arrays by fluorescence in situ hybridization assay. Additionally, a sensitivity analysis and Begg’s test were conducted. Results: We found that TUBA4B was significantly correlated with overall survival (OS) (HR = 1.33, 95% CI: 1.16–1.52, P=0.000), disease-free survival (DFS; HR = 1.25, 95% CI: 1.06–1.48, P=0.007), and recurrence-free survival (RFS; HR = 1.42, 95% CI: 1.26–1.60, P=0.000). In addition, TUBA4B was a risk factor for lung cancer (HR = 1.24, 95% CI: 1.03–1.49, P=0.021), colon cancer (HR = 1.67, 95% CI: 1.02–2.74, P=0.042), breast cancer (HR = 1.52, 95% CI: 1.10–2.12, P=0.012), and ovarian cancer (HR = 1.67, 95% CI: 1.18–2.36, P=0.004). Moreover, LncRNA-TUBA4B was significantly lower expression in tumor tissues than normal lung tissues (P< 0.001). The expression of lncRNA-TUBA4B was decreased with the progression of lung cancer stage. A subgroup meta-analysis based on data resource, sample size, region, patient numbers, and tumor type was further performed. Our studies revealed that tumor tissues with low levels of TUBA4B was significantly associated with short OS, DFS, and RFS in cancer patients. Conclusion: The present findings suggest that TUBA4B can be a novel biomarker for the prognosis of various cancers.

scholarly journals An eight-long non-coding RNA signature as a candidate prognostic biomarker for bladder cancer

Aging ◽  
2019 ◽  
Vol 11 (17) ◽  
pp. 6930-6940 ◽  
Author(s):  
Penghu Lian ◽  
Qian Wang ◽  
Ya Zhao ◽  
Cheng Chen ◽  
Xiacheng Sun ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Prognostic Biomarker ◽  
Non Coding Rna ◽  
Long Non Coding Rna ◽  
Rna Signature

scholarly journals Long non‑coding RNA RFPL3S is a novel prognostic biomarker in lung cancer

2020 ◽  
Vol 20 (2) ◽  
pp. 1270-1280
Author(s):  
Zhonghua Liu ◽  
Zhiqiang Ning ◽  
Hailin Lu ◽  
Tinghua Cao ◽  
Feng Zhou ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Prognostic Biomarker ◽  
Non Coding Rna ◽  
Long Non Coding Rna

scholarly journals Long non-coding RNA AFAP1-AS1 accelerates lung cancer cells migration and invasion by interacting with SNIP1 to upregulate c-Myc

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Yu Zhong ◽  
Liting Yang ◽  
Fang Xiong ◽  
Yi He ◽  
Yanyan Tang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Cells ◽  
Cancer Patients ◽  
Cancer Metastasis ◽  
Lung Cancer Cells ◽  
Migration And Invasion ◽  
Lung Cancer Patients ◽  
Lung Cancer Metastasis ◽  
Non Coding Rna ◽  
Long Non Coding Rna

AbstractActin filament associated protein 1 antisense RNA 1 (named AFAP1-AS1) is a long non-coding RNA and overexpressed in many cancers. This study aimed to identify the role and mechanism of AFAP1-AS1 in lung cancer. The AFAP1-AS1 expression was firstly assessed in 187 paraffin-embedded lung cancer and 36 normal lung epithelial tissues by in situ hybridization. The migration and invasion abilities of AFAP1-AS1 were investigated in lung cancer cells. To uncover the molecular mechanism about AFAP1-AS1 function in lung cancer, we screened proteins that interact with AFAP1-AS1 by RNA pull down and the mass spectrometry analyses. AFAP1-AS1 was highly expressed in lung cancer clinical tissues and its expression was positively correlated with lung cancer patients’ poor prognosis. In vivo experiments confirmed that AFAP1-AS1 could promote lung cancer metastasis. AFAP1-AS1 promoted lung cancer cells migration and invasion through interacting with Smad nuclear interacting protein 1 (named SNIP1), which inhibited ubiquitination and degradation of c-Myc protein. Upregulation of c-Myc molecule in turn promoted the expression of ZEB1, ZEB2, and SNAIL gene, which ultimately enhanced epithelial to mesenchymal transition (EMT) and lung cancer metastasis. Understanding the molecular mechanism by which AFAP1-AS1 promotes lung cancer’s migration and invasion may provide novel therapeutic targets for lung cancer patients’ early diagnosis and therapy.

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