Long non-coding RNA ROR is a novel prognosis factor associated with non-small-cell lung cancer progression

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1 European Review for Medical and Pharmacological Sciences 2017; 21: Long non-coding RNA ROR is a novel prognosis factor associated with non-small-cell lung cancer progression C.-H. QU 1, Q.-Y. SUN 1, F.-M. ZHANG 2, Y.-M. JIA 3 1 Department of Medical Imaging, Linyi People s Hospital, Linyi, Shandong, China 2 Critical-Care Medicine, Linyi Cancer Hospital, Linyi, Shandong, China 3 Internal Medicine, Linyi Rehabilitation Hospital, Linyi, Shandong, China Abstract. OBJECTIVE: The aim of the present study was to determine the expression levels of long intergenic non-protein coding RNA, regulator of reprogramming (linc- ROR) in non-small-cell lung cancer (NSCLC) patients and to further explore the prognostic value of this lncrna. PATIENTS AND METHODS: In our investigation, we determined the expression of linc- ROR in human NSCLC tissues and matched normal lung tissues by quantitative Real-time- PCR analysis. Also, correlations between linc- ROR expression and the clinicopathological features were evaluated. Survival curves were plotted using the Kaplan-Meier method and differences in survival rates were analyzed using the log-rank test. Cox regression analyses were performed to explore the effect of linc- ROR as an independent predictor of survival. RESULTS: We found that linc-ror had high expression in NSCLC specimens than that in matched adjacent normal lung tissues (p < 0.01). In addition, higher linc-ror expression levels were positively correlated with advanced TNM stage (p = 0.007), positive distant metastasis (p = 0.001) and LN metastasis (p = 0.011). Furthermore, significantly shorter 5-year overall survival (OS) and disease-free survival (DFS) were observed in patients with higher expression of linc-ror (both p < 0.001). In a multivariate Cox model, it was found that linc- ROR expression was an independent prognostic factor for both 5-years OS (p = 0.001) and 5-year DFS (p = 0.001) in NSCLC. CONCLUSIONS: Our findings indicate that linc-ror plays an oncogenic role in NSCLC development and may function as a prognostic and predictive biomarker for NSCLC. Key Words: Long non-coding RNA ROR, Non-small-cell lung cancer, Prognosis. Introduction Lung cancer, contributed to 29% of male and 26% of female cancer estimated deaths, is widely considered as the leading cause of cancer-related death around the world 1,2. Approximately 80-85% of all lung cancers are non-small-cell lung cancer (NSCLC), which are classified to adenocarcinoma, squamous cell carcinoma, and large cell carcinoma 3. In spite of recent advances in surgical techniques and computed tomography-based screening programs, the long-term outcome remains poor 4. Thus, it is imperative to search novel biomarkers for NSCLC, which can provide new strategies for the diagnosis and treatment of this disease. Long noncoding RNA (lncrna) is a class of RNA over 200 nucleotides in length with no protein-coding potential 5. The quick development of tumor genomics has highlighted the function of lncrnas in human tumors 6,7. Scholars have suggested that lncrnas participate in many biological processes, such as chromatin remodeling, posttranscriptional regulation, and intercellular signaling 8. Notably, some lncrnas are involved in both oncogenic and tumor-suppressive pathways 9. To date, a series of lncrnas had been identified to be dysregulated in certain types o human tumor and contributing to tumorigenesis However, the role of most lncrnas remains unclear. Pan et al 13 reported that linc-ror was involved in chemoresistance in docetaxel resistant lung adenocarcinoma cells. They found that linc- ROR may play a tumor promoter in progression of lung adenocarcinoma. Given the importance of this lncrna, further research on the function of linc-ror in NSCLC is required. Corresponding Author: Feng-Mei Zhang, MD; zf6721@yeah.net 4087

2 C.-H. Qu, Q.-Y. Sun, F.-M. Zhang, Y.-M. Jia In this work we aimed to explore the clinical significance of linc-ror in NSCLC patients. To our best knowledge, this is the first report about the prognostic value of linc-ror in NSCLC patients. Patients and Methods Patients We screened 229 patients diagnosed with NSCLC at Linyi Rehabilitation Hospital between August 207 and August The mean age of patients at the time of surgery was 58.5 years (range = 31 years to 79 years). The histopathological diagnosis of all samples was respectively diagnosed by two pathologists. All patients did not receive radiotherapy and/or chemotherapy before surgery. Tissues were snap frozen in liquid nitrogen after surgical resection until use. Follow-up information obtained from medical records was available for all of the selected patients. Samples were used only after written consent was obtained from the patients. This study was approved by the Research Ethics Committee of Linyi Rehabilitation Hospital, Linyi, Shandong, China. RNA Extraction and qrt-pcr Analyses Total RNA was extracted using TRIzol reagents (Invitrogen, Carlsbad, CA, USA) according to the manufacturer s instructions. RNA concentration and purity were determined by Nanodrop spectrophotometer (Thermo Scientific, Waltham, MA, USA). Quantitative RT-PCR reactions were performed on the Step One Plus Real-time PCR system (Applied Biosystems, Foster City, CA, USA) using the standard SYBR-Green PCR Kit protocol. GAPDH was used as an internal control for mirna. The primer sequences used were as follows: linc-ror forward: 5 - GAATCAGAGT- GCTGGGCAGT-3, and reverse: 5 -TCAGCA- GCTCATGCCCTAAC-3 ; GAPDH forward: 5 -CGGAGTCAACGGATTTGGTCGTAT-3, and reverse: 5 -AGCCTTCTCCATGGTGGTGA- AGAC-3. All experiments were performed using the 2 -ΔΔCt method. Each experiment was performed in triplicate. Statistical Analysis SPSS version 20 (IBM, Armonk, NY, USA) and GraphPad Prism 6 software were used to analyze data. Data were expressed as means ± standard deviation. The difference between patients and control samples was determined by Student s t-test. The χ 2 -test was used to analyze the associations between linc-ror expression and clinicopathological feature. Kaplan-Meier method was used for the survival analysis. Multivariate analysis of the prognostic factors was performed with Cox regression model. p-values < 0.05 were considered statistically significant. Results Increased Expression of Linc-ROR in Human NSCLC Tissues The expression levels of linc-ror between NSCLC tissues and paired adjacent non-tumor tissues were determined by qrt-pcr. As shown in Figure 1, linc-ror was frequently up-regulated in NSCLC tissues compared to matched non-tumor tissues (p < 0.01). Association Between linc-ror Expression and Clinicopathological Factors 229 NSCLC patients were divided into lowlinc-ror group (n=116) and high-linc-ror group (n=113) by using the median level of linc- ROR as the cutoff. Table I presented association between linc-ror expression and clinicopathological parameters in NSCLC. Overexpression of linc-ror in NSCLC tissues was significantly associated with advanced TNM stage (p = 0.007) and positive distant metastasis (p = 0.001) and LN metastasis (p = 0.011). However, there was no association between linc-ror expression and other clinical features, such as sex, age, tumor size, and surgery margins (p > 0.05). Figure 1. Linc-ROR expression was significantly higher in NSCLC tissues than in the corresponding non-tumorous samples (p < 0.01). 4088

3 Linc-ROR and NSCLC Figure 2. Kaplan-Meier analysis for the overall survival of patients with NSCLC and different levels of linc-ror (p < 0.001, log-rank test). Figure 3. Kaplan-Meier analysis for the disease-free survival of patients with NSCLC and different levels of linc-ror (p < 0.001, log-rank test). Correlation Between linc-ror Expression and Clinical Outcome of NSCLC To further evaluate the prognostic value of linc-ror in NSCLC patients, we performed Kaplan-Meier curve analysis. As shown in Figure 2 and 3, NSCLC patients with high levels of linc-ror expression had shorter OS (p < 0.001) and DFS (p < 0.001) time than those with low levels of linc-ror expression. Subsequently, we performed Cox proportional hazards regression analysis. The results of multivariate analyses showed that linc-ror expression was an inde- Table I. Correlation between linc-ror expression and clinicopathological features of patients with NSCLC. linc-ror expression Parameters No. of cases High Low p-value Sex Male Female Age (years) < Tumor size (cm) < Surgery margins Free Not free TNM stage I/II III/IV Distant metastasis Positive Negative LN metastasis No Yes

4 C.-H. Qu, Q.-Y. Sun, F.-M. Zhang, Y.-M. Jia Table II. Multivariate analysis of prognostic parameters in patients with NSCLC by Cox regression analysis. Overall survival Disease-free survival Features HR 95% CI p-value HR 95% CI p-value Sex Age Tumor size Surgery margins TNM stage Distant metastasis LN metastasis linc-ror expression pendent prognostic indicator for OS (HR = 2.983; p = 0.001) and DFS (HR = 3.421; p = 0.001) in patients with NSCLC (Table II). Discussion NSCLC is becoming one of the most lethal threats to human health and life. Many efforts have been made to explore tools in predicting outcome of tumor patients during the past several decades 14. Although the TNM staging is used for predicting the prognosis and treatment of patients with NSCLC, this classification system is an imprecise predictor of the outcome of an individual patient 15. Therefore, it is necessary to develop new prognostic tools that may be beneficial for improving the clinical management of NSCLC. Recently, thousands of lncrnas have been identified and strong evidence reveals the great role in regulating tumor development and progression 16. Some lncrnas have been well studied, such as lncrna MALAT1 17, lncrna HOTAIR 18 and lncrna BANCR 19. Those lncr- NAs were considered to have potential to serve as prognostic biomarker in several tumors. In the present investigation, our attention focused on linc-ror. As a newly identified lncrna, its role has been reported in several tumors. For instance, Li et al found 20 that over-expression of linc- ROR significantly promoted colorectal cancer cell proliferation and viability by affecting P53. Fu et al 21 reported that linc-ror promotes pancreatic cancer cell proliferation and invasiveness by sponging some different mirnas. Arunkumar et al 22 showed that linc-ror overexpression may be associated with poor prognosis of patients with oral cancer. Importantly, Shi et al 23 found that linc-ror may play a negative role in drug treatment of NSCLC cells by regulating PI3K/Akt/ mtor signaling pathway. All of these findings revealed that linc-ror severed as a tumor promoter in tumor progression, including NSCLC. Thus, we wondered whether the expression levels of linc-ror were associated with the prognosis of NSCLC patients. In the present work, by RT-PCT, we observed that linc-ror was significantly highly expressed in NSCLC tissues compared whit matched normal lung tissues. In addition, high linc-ror expression level was significantly correlated with advanced TNM stage, positive distant metastasis, and LN metastasis. Furthermore, the results of Kaplan- Meier method indicated that the NSCLC patients with higher linc-ror expression had both poorer 5 year OS and DFS. Notably, multivariate analysis validated that linc-ror expression was independently associated with the OS and DFS. Conclusions We observed that linc-ror expression might be an independent prognostic factor and a therapeutic target for NSCLC. Further study should focus on elucidating the exact molecular mechanisms of linc-ror acting on NSCLC. Conflict of interest The authors declare no conflicts of interest. References 1) Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J, Jemal A. Global cancer statistics, CA Cancer J Clin 2015; 65:

5 Linc-ROR and NSCLC 2) Siegel R, Ma J, Zou Z, Jemal A. Cancer statistics, CA Cancer J Clin 2014; 64: ) Cheng L, Alexander RE, Maclennan GT, Cummings OW, Montironi R, Lopez-Beltran A, Cramer HM, Davidson DD, Zhang S. Molecular pathology of lung cancer: key to personalized medicine. Mod Pathol 2012; 25: ) Heist RS, Engelman JA. SnapShot: non-small cell lung cancer. Cancer Cell 2012; 21: 448.e2. 5) Mattick JS, Makunin IV. Non-coding RNA. Hum Mol Genet 2006; 15: R ) Nagano T, Fraser P. No-nonsense functions for long noncoding RNAs. Cell 2011; 145: ) Fatica A, Bozzoni I. Long non-coding RNAs: new players in cell differentiation and development. Nat Rev Genet 2014; 15: ) Mercer TR, Dinger ME, Mattick JS. Long non-coding RNAs: insights into functions. Nat Rev Genet 2009; 10: ) Shi X, Sun M, Liu H, Yao Y, Song Y. Long non-coding RNAs: a new frontier in the study of human diseases. Cancer Lett 2013; 339: ) Zhang CG, Yin DD, Sun SY, Han L. The use of lncrna analysis for stratification management of prognostic risk in patients with NSCLC. Eur Rev Med Pharmacol Sci 2017; 21: ) Li T, Xie J, Shen C, Cheng D, Shi Y, Wu Z, Deng X, Chen H, Shen B, Peng C, Li H, Zhan Q, Zhu Z. Amplification of long noncoding RNA ZFAS1 promotes metastasis in hepatocellular carcinoma. Cancer Res 2015; 75: ) Zhou Y, Wang DL, Pang Q. Long noncoding RNA SPRY4-IT1 is a prognostic factor for poor overall survival and has an oncogenic role in glioma. Eur Rev Med Pharmacol Sci 2016; 20: ) Pan Y, Chen J, Tao L, Zhang K, Wang R, Chu X, Chen L. Long noncoding RNA ROR regulates chemoresistance in docetaxel-resistant lung adenocarcinoma cells via epithelial mesenchymal transition pathway. Oncotarget 2017; 8: ) Patz EF Jr, Greco E, Gatsonis C, Pinsky P, Kramer BS, Aberle DR. Lung cancer incidence and mortality in National Lung Screening Trial participants who underwent low-dose CT prevalence screening: a retrospective cohort analysis of a randomised, multicentre, diagnostic screening trial. Lancet Oncol 2016; 17: ) Liam CK, Andarini S, Lee P, Ho JC, Chau NQ, Tscheikuna J. Lung cancer staging now and in the future. Respirology 2015; 20: ) Li CH, Chen Y. Targeting long non-coding RNAs in cancers: progress and prospects. Int J Biochem Cell Biol 2013; 45: ) Gao KT, Lian D. Long non-coding RNA MALAT1 is an independent prognostic factor of osteosarcoma. Eur Rev Med Pharmacol Sci 2016; 20: ) Gao JZ, Li J, DU JL, Li XL. Long non-coding RNA HOTAIR is a marker for hepatocellular carcinoma progression and tumor recurrence. Oncol Lett 2016; 11: ) Jiang W, Zhang D, Xu B, Wu Z, Liu S, Zhang L, Tian Y, Han X, Tian D. Long non-coding RNA BANCR promotes proliferation and migration of lung carcinoma via MAPK pathways. Biomed Pharmacother 2015; 69: ) Li H, Jiang X, Niu X. Long Non-Coding RNA Reprogramming (ROR) promotes cell proliferation in colorectal cancer via affecting P53. Med Sci Monit 2017; 23: ) Fu Z, Li G, Li Z, Wang Y, Zhao Y, Zheng S, Ye H, Luo Y, Zhao X, Wei L, Liu Y, Lin Q, Zhou Q, Chen R. Endogenous mirna Sponge LincRNA-ROR promotes proliferation, invasion and stem cell-like phenotype of pancreatic cancer cells. Cell Death Discov 2017; 3: ) Arunkumar G, Deva Magendhra Rao AK, Manikandan M, Arun K, Vinothkumar V, Revathidevi S, Rajkumar KS, Rajaraman R, Munirajan AK. Expression profiling of long non-coding RNA identifies linc-ror as a prognostic biomarker in oral cancer. Tumour Biol 2017; 39: ) Shi H, Pu J, Zhou XL, Ning YY, Bai C. Silencing long non-coding RNA ROR improves sensitivity of non-small-cell lung cancer to cisplatin resistance by inhibiting PI3K/Akt/mTOR signaling pathway. Tumour Biol 2017; 39:

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