Long non-coding RNA FEZF1-AS1 is up-regulated and associated with poor prognosis in patients with cervical cancer

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European Review for Medical and Pharmacological Sciences 2018; 22: 3357-3362 Long non-coding RNA FEZF1-AS1 is up-regulated and associated with poor prognosis in patients with cervical cancer H.-H. ZHANG 1, A.-H. LI 2 1 Center for Reproductive Medicine, Linyi People s Hospital, Linyi, Shandong, China 2 Department of Obstetrics, Linyi People s Hospital, Linyi, Shandong, China Abstract. OBJECTIVE: Long noncoding RNA FEZF1-AS1 (FEZF1-AS1) has been showed to involve in a variety of cancers. However, its function and clinical significance in cervical cancer (CC) have not been investigated. The aim of this study was to explore the prognostic value of FEZF1-AS1 in CC patients. PATIENTS AND METHODS: Quantitative reverse transcription-polymerase chain reaction (qrt-pcr) was used to determine the expression level of FEZF1-AS1 in CC specimens and adjacent normal cervical tissues. Association between FEZF1-AS1 expression and clinicopathological characteristics was analyzed x2- test. The Kaplan-Meier method was used to estimate survival curves, and the log-rank statistic was used to test the role of FEZF1-AS1 expression. The possibility of FEZF1-AS1 as a prognostic biomarker for CC was examined by Cox proportional hazard regression model. RESULTS: We found that FEZF1-AS1 expression levels were significantly higher in CC tissues compared with adjacent non-cancerous tissues (p < 0.01). High expressions of FEZF1- AS1 were significantly association with poorer histological grade (p = 0.004), positive distant metastasis (p = 0.002) and advanced FIGO stage (p = 0.001). Furthermore, patients with low FEZF1-AS1 expression lived shorter than those with high FEZF1-AS1 expression (Logrank test, p < 0.0034). Cox regression analysis demonstrated that FEZF1-AS1 expression level was an independent prognostic factor for CC overall survival rates (p = 0.008). CONCLUSIONS: We firstly provided clinical evidence that FEZF1-AS1 may be a possible biomarker of poor prognosis in CC. Key Words: Long noncoding RNA, FEZF1-AS1, Cervical cancer, Prognosis. Introduction Cervical cancer (CC) is a leading cause of cancer death among women, with the large majority of patients living in developing countries 1,2. Many patients are diagnosed with CC in China every year, accounting for 30% of the global new cases of CC 3. Currently, CC can be diagnosed in younger patients and at an early stage via using various advanced diagnostic method 4. However, the outcome of CC patients remains unsatisfactory, especially for those with advanced-stage tumors 5. Unfortunately, in China, many CC patients experience early cancer metastasis, resulting in poor long-term survival after resection of primary CC 6. Therefore, the identification of novel biomarkers for the diagnosis and prognosis of CC remains important for guidance of CC treatment. Non-coding RNAs (ncrnas), once regarded as transcriptional noise, have recently been shown to act as functional molecules 7. Long noncoding RNAs (lncrnas), one of ncrnas, are evolutionarily conserved noncoding RNAs that are greater than 200 nucleotides in length with no protein-coding capacity 8. Recently, lncrnas were reported to be involved in regulating various physiologic progression, including tumor development, cell proliferation and metastasis 9,10. In addition, additional studies 11-13 confirm that lncrnas are frequently dysregulated in various tumors, which play oncogenic or tumor suppressive roles during tumorigenesis. Thus, the detection of specified lncrnas expression levels may help predict the prognosis of cancer patients. Although more and more lncrnas were identified to be functional biomarkers significantly associated with survival of cancer patients, including CC, the emerging potential role of most lncrnas in CC is yet unclear 14,15. Corresponding Author: Ai-hua Li, MD; e-mail: aihh1119@126.com 3357

H.-H. Zhang, A.-H. Li The lncrna FEZ family zinc finger 1 antisense RNA 1 (FEZF1-AS1) is an lncrna located in 7q31.32. The expression, function and molecular mechanism of FEZF1-AS1 have been reported in several tumors, including lung adenocarcinoma 16, stomach adenocarcinoma 17 and pancreatic ductal adenocarcinoma 18. Recently, systematic gene microarray analysis by Chen et al 19 firstly reported that FEZF1-AS1 expression was significantly up-regulated in CC tissues. However, its function and clinical significance in CC have not been investigated. Patients and Methods Patients and Tissues Samples CC tissues and matched adjacent normal cervical tissues were obtained from 196 patients with CC who received surgery at the Linyi People s Hospital. The fresh tissues were immediately frozen in liquid nitrogen and stored at -80 C until use. The 196 enrolled patients were aged from 32 to 67 years, with a median age of 48 years. None of the patients had received chemotherapy or radiotherapy before surgery. The CC stage was classified by two experienced gynecological oncologists according to the International Federation of Gynecology and Obstetrics (FIGO) staging system for CC. Clinical data were obtained from the patients medical records and shown in Table II. This study was approved by the Research Ethics Committee of Linyi People s Hospital. Written informed consent was obtained from all of participators. RNA Extraction and Quantitative Real-Time Polymerase Chain Reaction (qrt-pcr) Total RNA was isolated with TRizol reagent (Invitrogen, Carlsbad, CA, USA) according to the manufacturer s instructions. RNA was reverse transcribed into cdnas using a Prime- Script one step RT-PCR kit (TaKaRa, Otsu, Shiga, Japan). FEZF1-AS1 levels were measured by qrt-pcr using SYBR Green in an ABI 7500 StepOne Plus Real-time PCR instrument (Biosystems, Foster City, CA, USA). PCR conditions for quantitative RT-PCR were as follows: 94 C for 5 min, 40 cycles of 94 C for 30 s, 55 C for 30 s, and 72 C for 20 s. All the primers were obtained from the TaqMan mirna Assays and the sequences were shown in Table I. The relative Table I. The primer sequence of FEZF1-AS1 and U6. Gene FEZF1-AS1 U6 amount of FEZF1-AS1 to U6 was calculated using the equation 2 -ΔCt. Statistical Analysis Statistical analyses were performed using SPSS Statistics 13.0 (SPSS Inc., Chicago, IL, USA). Difference of FEZF1-AS1 expression between two groups was compared by Independent-samples t-test. Association between expression level of FEZF1-AS1 and each clinicopathological parameter was evaluated using x 2 -test. Overall survival curves were plotted according to the Kaplan-Meier method, and the log-rank test was applied for comparison. Cox proportional-hazard modeling was used for univariate and multivariate analysis to determine the role of variables on survival. p < 0.05 was considered as statistically significant. Results Sequence F: TTAGGAGGCTTGTTCTGTGT R: GCGCAGGTACTTAAGAAAGA F: GTTGCGTTACACCCTTTCTTG R: GTCACCTTCACCGTTCCAGT FEZF1-AS1 Expression is Upregulated in CC Tissues To investigate whether FEZF1-AS1 was dysregulated in CC patients, we detected its expression by RT-PCR assay. We found that FEZF1-AS1 expression was significantly higher in CC tissues compared with their paired normal cervical tissues (p < 0.01) (Figure 1). These data indicated that FEZF1-AS1 might be involved in the development of CC in humans. Clinicopathological Significance of FEZF1-AS1 Expression in Human CC Next, the association between the expression of FEZF1-AS1 and clinicopathological features was analyzed. The 196 patients with CC were divided into two groups according to the median value of FEZF1-AS1 levels, including high-expression group (n = 104) and low-expression group (n = 92), respectively. The expression of FEZF1-AS1 in CC tissues was significantly associated with histological grade (p = 0.004), distant metastasis (p = 0.002) and FIGO stage (p = 0.001) (Table 3358

LncRNA FEZF1-AS1 expression in cervical cancer Table II. Correlation between the expression of FEZF1-AS1 and clinicopathological parameters in CC patients FEZF1-AS1 expression Variable n High Low p value Age (years) 0.565 55 81 41 40 > 55 115 63 52 Tumor diameter (cm) 0.795 4.0 85 46 39 > 4.0 111 58 53 HPV infection 0.281 Negative 90 44 46 Positive 106 60 46 Histological type 0.975 AD 62 33 29 SCC 134 71 63 Histological grade 0.004 Well/moderate 111 49 62 Poor 85 55 30 Distant metastasis 0.002 Yes 76 51 25 No 120 53 67 FIGO stage I/II 126 56 70 0.001 III/IV 70 48 22 I). However, no relationship was found between FEZF1-AS1 and other clinicopathologic features including age, tumor diameter, HPV infection and histological type (all p > 0.05). FEZF1-AS1 Expression is Conversely Associated with Overall Survival in CC Patients In order to explore whether FEZF1-AS1 expression was associated with prognosis of CC patients, our cohort of CC patients was followed up for 5 years, with a median survival of 44 months. In addition, Kaplan-Meier curve with long-rank analysis were performed. We found that patients with high expression of FEZF1-AS1 had poorer overall survival compared with those with low FEZF1-AS1 group (p = 0.0034) (Figure 2). Furthermore, in univariate analysis, histological grade (HR = 3.783, 95% CI: 1.239-6.639, p = 0.005), distant metastasis (HR = 4.763, 95% CI: 1.673-8.893, p = 0.001), FIGO stage (HR = 4.352, 95% CI: 1.338-7.362, p = 0.001, 0.001), and FEZF1-AS1 expression (HR = 3.672, 95% CI: 1.573-6.328, p = 0.003) were associated with poor survival (Table III). Further assay by multivariate analysis confirmed that FEZF1-AS1 expression (HR = 3.213, 95% CI: 1.219-5.663, p = 0.008) was an independent prognostic factor for overall survival (Table III). Discussion As a major public health issue, CC results from the combined effects of environmental factors and genetic alterations 20. Current therapeutic tools are effective in patients diagnosed at early stages, but there are limited treatment options for Figure 1. The relative levels of FEZF1-AS1 in 196 paired of CC samples were measured by real-time quantitative RT- PCR, and the U6 small nuclear RNA was used as an internal control. FEZF1-AS1 expression levels were significantly higher in CC tissues compared with adjacent non-cancerous tissues (p < 0.01). 3359

H.-H. Zhang, A.-H. Li Figure 2. Kaplan-Meier overall survival curves of CC patients according to the level of FEZF1-AS1 expression. High expression of FEZF1-AS1 predicts a poor prognosis in CC patients (p = 0.0034) patients with advanced stages 21. In order to improve prognosis of CC patients, the investigation about the prognostic factors for CC is especially important, because such predictors are helpful in guiding clinical management 22. Pathogenesis of CC is very complicated and involved in a large number of genes dysregulation 23. With the advanced in ncrna function, lncrnas as potential biomarkers for diagnosis and prognosis of CC patients become a hot issue. The year before last, Chen et al 24 firstly reported dysregulation of FEZF1-AS1 expression in colorectal carcinoma tissues by RT-PCR. They performed several in vitro and in vivo assays and found that FEZF1-AS1 promotes colorectal carcinoma cell proliferation, migration and invasion. Prognostic assay revealed that overexpression of FEZF1-AS1 was significantly associated with poor prognosis of colorectal carcinoma patients. This study firstly suggested FEZF1-AS1 as a functional molecular in cancer. Subsequently, Wu et al 25 found similar results that FEZF1-AS1 expression was highly expressed in gastric cancer and promotes the growth of gastric cancer cells by regulating Wnt signaling pathway. More importantly, Zhou et al 26 confirmed a novel molecular mechanism that FEZF1-AS1 promoted osteosarcoma growth and metastasis by regulating mir-4443/nupr1 axis, highlighting that FEZF1- AS1 played a critical role in progression of osteosarcoma. Meanwhile, the up-regulation and tumor-promotive role of FEZF1-AS1 in several tumors also reported 18,27. Although it was confirmed that FEZF1-AS1 expression was significantly up-regulated in CC patients by microarray analysis, the specific function and significance of FEZF1-AS1 in CC have not been reported 19. In the present work, we performed RT-PCR to determine the expression of FEZF1-AS1 in CC patients. Our results were in line with previous results from microarray analysis. Significant overexpression of FEZF1-AS1 was observed in CC tissues compared to normal cervical tissues. Subsequently, we analyzed the clinical information that was collected by our hospital. Our findings showed that the expression of FEZF1-AS1 in CC tissues was significantly associated with histological grade, distant metastasis and FIGO stage, which indicated that FEZF1-AS1 played a positive role in progression of CC. Furthermore, Kaplan-Meier analysis and log-rank test, suggested that CC patients with up-regulated FEZF1-AS1 expression have shorter overall survival. Then, the Cox proportional hazards model confirmed high FEZF1-AS1 expression level to be an independent predictor of poor prognosis in CC patients. To our best knowledge, we firstly re- Table III. Univariate and multivariate Cox s hazards analysis on possible prognostic factors for patients with CC. Univariate analysis Multivariate analysis Factors p-value HR (95% CI) p-value HR (95% CI) Age 0.337 1.893 (1.132-2.462) - - Tumor diameter 0.673 1.123 (0.687-1.994) - - HPV infection 0.936 1.452 (0.781-2.123) - - Histological type 0.522 1.213 (0.739-2.445) - - Histological grade 0.005 3.783 (1.239-6.639) 0.008 3.192 (1.023-5.337) Distant metastasis 0.001 4.763 (1.673-8.893) 0.003 3.736 (1.472-7.132) FIGO stage 0.001 4.352 (1.338-7.362) 0.006 3.251 (1.138-5.366) FEZF1-AS1 expression 0.003 3.672 (1.573-6.328) 0.008 3.213 (1.219-5.663) 3360

LncRNA FEZF1-AS1 expression in cervical cancer ported whether FEZF1-AS1 was associated with prognosis of CC patients. However, the biological function and potential mechanism involved in the proliferation and metastasis were not studied in our study. Further functional experiments were needed to elucidate the mechanism underlying the poor clinical prognosis of CC patients. Conclusions We demonstrated for the first time that aberrant upregulation of FEZF1-AS1 was significantly correlated with an aggressive phenotype and poor prognosis in CC. A well-designed prospective research was needed to confirm the predictive value of FEZF1-AS1 for prognosis in CC patients. Conflict of Interest The Authors declare that they have no conflict of interests. References 1) Siegel R, Desantis C, Jemal A. Colorectal cancer statistics, 2014. CA Cancer J Clin 2014; 64: 104-117. 2) Obel J, Souares Y, Hoy D, Baravilala W, Garland SM, Kjaer SK, Roth A. A systematic review of cervical cancer incidence and mortality in the Pacific Region. Asian Pac J Cancer Prev 2014; 15: 9433-9437. 3) Kang LN, Jeronimo J, Qiao YL, Zhao FH, Chen W, Valdez M, Zhang X, Bansil P, Paul P, Bai P, Peck R, Li J, Chen F, Stoler MH, Castle PE. Optimal positive cutoff points for care HPV testing of clinician- and self-collected specimens in primary cervical cancer screening: an analysis from rural China. J Clin Microbiol 2014; 52: 1954-1961. 4) Lynge E, Rygaard C, Baillet MV, Dugué PA, Sander BB, Bonde J, Rebolj M. Cervical cancer screening at crossroads. APMIS 2014; 122: 667-673. 5) Cuschieri K, Brewster DH, Graham C, Nicoll S, Williams AR, Murray GI, Millan D, Johannessen I, Hardie A, Cubie HA. Influence of HPV type on prognosis in patients diagnosed with invasive cervical cancer. Int J Cancer 2014; 135: 2721-2726. 6) Qian Q, Yang J, Cao D, You Y, Chen J, Shen K. Analysis of treatment modalities and prognosis on microinvasive cervical cancer: a 10-year cohort study in China. J Gynecol Oncol 2014; 25: 293-300. 7) Albrecht AS, Ørom UA. Bidirectional expression of long ncrna/protein-coding gene pairs in cancer. Brief Funct Genomics 2016; 15: 167-173. 8) Mercer TR, Dinger ME, Mattick JS. Long non-coding RNAs: insights into functions. Nat Rev Genet 2009; 10: 155-159. 9) Prensner JR, Chinnaiyan AM. The emergence of lncrnas in cancer biology. Cancer Discov 2011; 1: 391-407. 10) Hu YC, Wang AM, Lu JK, Cen R, Liu LL. Long noncoding RNA HOXD-AS1 regulates proliferation of cervical cancer cells by activating Ras/ERK signaling pathway. Eur Rev Med Pharmacol Sci 2017; 21: 5049-5055. 11) Zhu J, Kong F, Xing L, Jin Z, Li Z. Prognostic and clinicopathological value of long noncoding RNA XIST in cancer. Clin Chim Acta 2018; 479: 43-47. 12) Martens-Uzunova ES, Böttcher R, Croce CM, Jenster G, Visakorpi T, Calin GA. Long noncoding RNA in prostate, bladder, and kidney cancer. Eur Urol 2014; 65: 1140-1151. 13) Yang X, Duan B, Zhou X. Long non-coding RNA FOXD2-AS1 functions as a tumor promoter in colorectal cancer by regulating EMT and Notch signaling pathway. Eur Rev Med Pharmacol Sci 2017; 21: 3586-3591. 14) Kim HJ, Lee DW, Yim GW, Nam EJ, Kim S, Kim SW, Kim YT. Long non-coding RNA HOTAIR is associated with human cervical cancer progression. Int J Oncol 2015; 46: 521-530. 15) Huang HW, Xie H, Ma X, Zhao F, Gao Y. Upregulation of LncRNA PANDAR predicts poor prognosis and promotes cell proliferation in cervical cancer. Eur Rev Med Pharmacol Sci 2017; 21: 4529-4535. 16) Jin S, Chen S, Ma Y, Yang B, Liu Y. LincRNA FEZF1- AS1 contributes to the proliferation of LAD cells by silencing p57 expression. Oncotarget 2017; 8: 103004-103013. 17) Gu J, Li Y, Fan L, Zhao Q, Tan B, Hua K, Wu G. Identification of aberrantly expressed long non-coding RNAs in stomach adenocarcinoma. Oncotarget 2017; 8: 49201-49216. 18) Ye H, Zhou Q, Zheng S, Li G, Lin Q, Ye L, Wang Y, Wei L, Zhao X, Li W, Fu Z, Liu Y, Li Z, Chen R. FEZF1-AS1/miR-107/ZNF312B axis facilitates progression and Warburg effect in pancreatic ductal adenocarcinoma. Cell Death Dis 2018; 9: 34. 19) Chen J, Fu Z, Ji C, Gu P, Xu P, Yu N, Kan Y, Wu X, Shen R, Shen Y. Systematic gene microarray analysis of the lncrna expression profiles in human uterine cervix carcinoma. Biomed Pharmacother 2015; 72: 83-90. 20) Dasari S, Wudayagiri R, Valluru L. Cervical cancer: Biomarkers for diagnosis and treatment. Clin Chim Acta 2015; 445: 7-11. 21) Denny L. Cervical cancer: prevention and treatment. Discov Med 2012; 14: 125-131. 22) Somashekhar SP, Ashwin KR. Management of early stage cervical cancer. Rev Recent Clin Trials 2015; 10: 302-308. 23) Fang J, Zhang H, Jin S. Epigenetics and cervical cancer: from pathogenesis to therapy. Tumour Biol 2014; 35: 5083-5093. 3361

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