Background
Non-small cell lung cancer (NSCLC) is the major subtype of lung cancer and is the main cause of cancer-related deaths worldwide [
1]. NSCLC has two major subtypes including lung squamous cell carcinoma (LUSC) and lung adenocarcinoma (LUAD) [
2]. Despite of the advances have been made on the treatment and diagnosis of NSCLC, only less than 15% of NSCLC patients can survive for more than 5 years [
3]. Therefore, more effective therapeutic approaches are needed. Smoking is the major risk factor for NSCLC [
4]. However, never-smokers also develop NSCLC [
5], suggesting the involvement of other factors, such as genetic factors, in the molecular pathogenesis of NSCLC [
6].
It has been well established that molecular players participate in nearly all aspects of the occurrence and development of NSCLC [
7,
8]. Increased understanding of the molecular mechanism of NSCLC provides novel targets for the development of anti-cancer approaches, such as targeted therapy [
9,
10]. LncRNAs are emerging critical players in cancer biology and they participate in cancer mainly by regulating the expression of cancer-related genes [
11,
12]. Therefore, lncRNAs are potential targets for cancer targeted therapy [
13]. SNHG10 has been characterized as an oncogenic lncRNA in liver cancer [
14]. However, we observed the downregulation of SNHG10 in NSCLC and it’s inversely correlation with miR-21 by exploring the TCGA dataset. It is known that miR-21 is a key oncogenic miRNA in cancer [
15]. This study was therefore performed to investigate the role of SNHG10 and miR-21in NSCLC.
Methods
Patients and follow-up
This study enrolled a total of 62 NSCLC patients (30 cases of LUAD and 32 cases of LUSC) between May 2013 and January 2015 at Taihe Hospital, and was approved by the Ethics Committee of Taihe hospital. All patients were confirmed by histopathological biopsy, and no patients received any therapy for any clinical disorders within 3 months before this study. Other severe clinical disorders were excluded from these patients. Based on AJCC staging system, there were 28 cases at stage I or II, and 34 cases at stage III or IV. Informed consent was signed by all patients. From the day of admission, the 62 patients were followed up for 5 years. The patients were visited every month through phone call. Patients died of non-NSCLC were excluded from this study. The follow-up was completed by all patients.
Tissue collection
All patients were subjected to biopsy prior to therapy. During biopsy, NSCLC and paired non-tumor tissues were obtained from each patient. Histopathological exam was used to confirm all of the collected tissues. In addition, tissues were immediately subjected to RNA extraction after collections.
Cell culture and transfection
To match the patients included in this study, the LUSC cell line KLN 205 and LUAD cell line HCC827 were used. RPMI-1640 medium (90%) and FBS (10%) were used to conduct the cell culture. A 5% CO2 incubator was used to cultivate both cell lines at 37 °C. SNHG10 expressing vector was constructed using pcDNA3.1 (Invitrogen) as the backbone vector. Mimic of miR-21 and negative control (NC) miRNA were purchased from Sigma-Aldrich. Vectors (1 μg) or miRNAs (40 nM) were transfected into KLN 205 and HCC827 cells (1 × 108) using lipofectamine 2000 (Invitrogen). KLN 205 and HCC827 cells (1 × 108) were transfected with either NC miRNA or empty vector to serve as NC group. Cells were cultivated for further 48 h prior to the following experiments.
RT-qPCR
Isolation of RNA from tissues and in vitro cultured cells was performed using Ribozol (Invitrogen). DNase I was used to incubate with RNA samples at 37 °C for 2 h to completely digest genomic DNA. RNA samples were reverse transcribed into cDNA samples using a Reverse Transcription System (A5001, Promega Corporation). With cDNA samples as template, qPCRs were carried out to determine the expression of SNHG10 using SYBR Green Master Mix (Bio-Rad). The internal control of SNHG10 was 18S rRNA. Addition of poly (A) was added to mature miRNAs, following by miRNA reverse transcriptions and miRNA qPCRs to determine the expression of miR-21, and the endogenous control for miR-21 was U6. Three replicates were set for each experiment and Ct values were calculated using the 2-ΔΔCT method.
Methylation-Specific PCR (MSP)
After transfected with empty vector or SNHG10 expression vector, KLN 205 and HCC827 cells were used to extract genomic DNAs using Genomic DNA Extraction Kit (ab156900, Abcam). DNA samples were converted using DNA Methylation-Gold™ kit (ZYMO RESEARCH). After that, the methylation of miR-21 was evaluated by Taq 2X master mix (NEB).
Cell Counting Kit-8 (CCK-8) assay
After transfected with empty vector or SNHG10 expression vector, KLN 205 and HCC827 cells were subjected to cell proliferation analysis using CCK-8 kit (Dojindo). Cells were washed with ice-cold PBS, followed by cell counting. After that, 3000 cells in 0.1 ml medium were transferred to each well of a 96-well plate, followed by cell culture at 37 °C. OD values (450 nm) were measured every 24 h for a total of 4 d. At 4 h before the measurement of OD values, CCK-8 solution was added into each well to reach 10%.
Statistical analysis
Mean ± SD values were used in this study. Difference between two groups was evaluated by paired t-test. Differences among multiple groups were analyzed by ANOVA (one way) and followed by Tukey’s test. Linear regression was used to evaluate the correlations. The 62 patients were divided into high and low SNHG10 level groups (n = 31, cutoff value was the median expression level of SNHG10 in NSCLC tissues) to analyze survival. K-M method and Log-rank test were used to plot and analyze the survival curves. P < 0.05 was considered as statistically significant.
Discussion
In the present study, we aimed to investigate the role and underlying mechanism of SNHG10 in NSCLC. Clinical data showed that SNHG10 was downregulated in NSCLC and predicted poor survival of NSCLC patients. Additionally, miR-21 was up-regulated and negatively correlated with SHG10 in NSCLC. In two NSCLC cell lines, we revealed that SNHG10 reduced miR-21 via methylation. Moreover, SNHG10 inhibited the proliferation of NSCLC cells by targeting miR-21. Therefore, SNHG10 is a tumor suppressor in NSCLC.
lncRNAs have been found to be involved in the development of cancer. For example, lncRNA DANCR could enhance cancer cell migration and invasion in gastric cancer [
16]. LncRNA XIST could induce proliferation in pancreatic cancer cells [
17]. A recent study reported that SNHG10 was an oncogenic lncRNA in liver cancer. It is reported that SNHG10 was upregulated in liver cancer and formed a positive feedback loop with its homolog SCARNA13, thereby promoting cancer metastasis [
14]. Interestingly, SNHG10 was remarkably downregulated in NSCLC according to our analyses of TCGA dataset. We confirmed this finding by determining the expression of SNHG10 in paired NSCLC and non-tumor tissues. In two NSCLC cell lines, overexpression of SNHG10 resulted in decreased proliferation of NSCLC cells. Therefore, SNHG10 is likely a tumor suppressor lncRNA in NSCLC, and SNHG10 may play different roles in different types of cancer, suggesting that NSCLC and liver cancer may have different molecular pathogenesis.
Even with active treatments, such as surgical resection and chemotherapy, the overall survival of NSCLC is still poor [
18,
19]. In this study, we showed that overexpression of SNHG10 suppressed the proliferation of NSCLC, and high expression levels of SNHG10 were correlated with the favorable survival of NSCLC patients. Therefore, SNHG10 may serve as a target for the treatment of NSCLC. In addition, measuring the expression levels of SNHG10 before therapy may assist the prognosis of NSCLC, thereby guiding the determination of treatments and improve patients’ survival.
MiR-21 is a well-characterized oncogenic miRNA that promotes tumorigenesis in many cancers, such as cervical, breast and gastric cancers [
20‐
22]. In NSCLC, miR-21 is a serum biomarker for detection of early-stage NSCLC, and has been found to enhance cancer progression by targeting its targets genes, like SOCS1, PTEN, SOX7 [
23‐
25]. However, the upstream regulators of miR-21 have not been well studied. In this study, we found that miR-21 was negatively correlated with SNHG10 in NSCLC tissues. Moreover, SNHG10 was directly regulated by SNHG10 through methylation, and it was involved in the inhibitory effect of SNHG10 on NSCLC cell proliferation. Hence, SNHG10 is an upstream regulator of miR-21 and can inhibits its oncogenic function in NSCLC. It is worth noting that SNHG10 and miR-21 were only closely correlated across NSCLC tissues, but not across non-tumor tissues. Therefore, certain pathological factors may mediate the interaction between them, and further studies are needed.
Conclusion
In conclusion, SNHG10 is downregulated, and miR-21 was upregulated in NSCLC. SNHG10 predicts the prognosis of NSCLC, and it can downregulate miR-21 through methylation to suppress the proliferation of cancer cells.
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