Literature DB >> 33953608

Clinical Significance of miR-183-3p and miR-182-5p in NSCLC and Their Correlation.

Tianxiang Zhang1, Wei Li2, Meng Gu1, Ziyu Wang1, Shijie Zhou2, Xuefeng Hao1, Weiying Li1, Shaofa Xu1.   

Abstract

PURPOSE: Accumulating evidence has indicated that dysregulated microRNAs (miRNAs) are involved in cancer progression. In this study, we evaluated the clinicopathologic significance of miR-183-3p and miR-182-5p, and the role of miR-183-3p in non-small-cell lung cancer (NSCLC) progression. PATIENTS AND METHODS: Seventy-six NSCLC patients from Beijing Chest Hospital were included. The expression of miR-183-3p and miR-182-5p was evaluated by real-time quantitative polymerase chain reaction (RT-qPCR). Then, cell growth curve assays and colony formation assays were performed. Bioinformatics analysis of TCGA database was performed to explore the clinicopathological significance and prognostic value.
RESULTS: miR-183-3p and miR-182-5p were significantly increased in NSCLC tumor tissues (both P < 0.0001) and were positively correlated (r = 0.8519, P < 0.0001). miR-183-3p (P = 0.0444) and miR-182-5p (P = 0.0132) were correlated with tumor size. In addition, miR-183-3p (P = 0.0135) and miR-182-5p (P = 0.0009) were upregulated in normal lung tissues from smokers. In vitro, miR-183-3p was correlated with cell proliferation. In addition, bioinformatics analysis indicated that miR-183-3p was correlated with poor prognosis (P = 0.0466) and tumor size (P = 0.0017). In addition, miR-183-3p was higher in lung squamous carcinoma (LUSC) tissue (P < 0.0001) than in lung adenocarcinoma (LUAD) tissue, and miR-183-3p was higher in the tumor tissue of smokers (P = 0.0053) than in that of nonsmokers.
CONCLUSION: Upregulation of miR-183-3p and miR-182-5p may play an oncogenic role in NSCLC. miR-183-3p could be used as a potential prognostic biomarker and therapeutic target to manage lung cancer.
© 2021 Zhang et al.

Entities:  

Keywords:  NSCLC; miR-182-5p; miR-183-3p; non-small-cell lung cancer; prognosis; proliferation

Year:  2021        PMID: 33953608      PMCID: PMC8089025          DOI: 10.2147/CMAR.S305179

Source DB:  PubMed          Journal:  Cancer Manag Res        ISSN: 1179-1322            Impact factor:   3.989


Introduction

Lung cancer is one of the most common malignancies, and it is also a leading cause of cancer related death worldwide, causing a large number of deaths every year.1 Clinically, NSCLC accounts for more than 70% of lung cancers, including adenocarcinomas, squamous-cell carcinomas and large-cell carcinomas.2 Despite improvements in diagnosis and treatment, the 5-year overall survival of NSCLC patients is still low, with a high recurrence rate, even in the early-stages.3 The undesirable prognosis of NSCLC may be due to a late diagnosis, insufficient evidence for therapy selection, and our limited understanding of the NSCLC physiological mechanism at the genetic level. There also remains a pressing need to explore the potential role of specific gene targets in oncogenesis and the genetic features of NSCLC.4 miRNAs are ubiquitous small noncoding RNAs of 19–24 nucleotides in length. Abnormal expression of miRNAs has been reported to be associate with numerous diseases, especially cancer, and several studies have reported the diagnostic or prognostic significance of miRNA expression in cancer.5 The miR-183 family is a conserved polycistronic miRNA cluster including miR-183-5p, miR-96-5p and miR-182-5p located at chromosomal position 7q32.2, which is often overexpressed in tumors.6 However, the research progress of individual components of this cluster in NSCLC is different. As a member of miR-183 cluster, the effect of miR-182-5p on lung cancer cell lines has been explored by many previous studies, and the majority of studies have shown that miR-182-5p targets tumor suppressor genes and promotes cell proliferation, colony formation, migration and invasion.7–11 In addition, miR-182-5p was found to have significant diagnostic value in lung cancer.12,13 This miRNA was also correlated with poor prognosis in lung cancer patients.12,14,15 However, few studies have focused on miR-183-3p in NSCLC, which is produced from the same precursor microRNA (pre-miRNA) as miR-183-5p. miR-183-3p was found to be upregulated in lung cancer tissues and might be involved in lung cancer pathogenesis and progression,16 but the cohort of this study was limited to adenocarcinoma of female nonsmokers and lacked in vitro experiments to support this conclusion. In addition, the relationship between miR-183-3p and the members of miR-183 cluster has not been previously reported. In this study, we focused on the clinicopathological significance of miR-183-3p and miR-182-5p in NSCLC. In addition, the relationship between miR-183-3p and miR-182-5p was also evaluated by various means. The proliferation-promoting effect of miR-183-3p was further verified by cell phenotypic experiments, and the prognostic value of these two miRNAs was explored by bioinformatics analysis. As the effect of miR-182-5p on NSCLC cell lines was widely studied by previous in vitro experiments, cell phenotype experiments of miR-182-5p were not included in this study.

Patients and Methods

Patients

In total, 76 NSCLC patients receiving surgical treatment at Beijing Chest Hospital were enrolled between 2018–10-24 and 2020-1-20, and the cohort was composed of males and females ranging from 26 to 79 years old (mean = 61.67 years old). Seventy-six pairs of fresh NSCLC tumor tissues and adjacent noncancerous lung tissues were obtained after pathological diagnosis. None of the patients underwent any chemotherapy or radiation therapy prior to the operation or had any other accompanying malignancy. After resection, tissue samples were flash frozen in liquid nitrogen for 30 minutes within 2 hours and then frozen at −80°C for long-stem storage. The correlation between the expression of miR-183-3p or miR-182-5p and clinicopathological factors (age, sex, histological type, smoking, tumor size, lymphatic metastasis, distant metastasis, pleura invasion, vessel carcinoma embolus) was evaluated. This study was approved by the Ethics Committee of Beijing Chest Hospital. The clinical information of these patients and the correlation analysis results are described in Tables 1 and 2.
Table 1

Clinicopathological Characteristics of NSCLC Patients and Expression of miR-183-3p and miR-182-5p in Tumor Tissues

VariablesNo. of CasesmiR-183-3p Expression (Median, 25–75 Percentile)P valuemiR-182-5p Expression (Median, 25–75 Percentile)P value
Ages0.11840.1622
 ≤65493.566, 2.090–7.0352.439, 1.004–3.528
 >65274.812, 2.768–7.9452.592, 1.727–5.044
Sex0.58760.6609
 Female284.201, 2.114–7.9112.339, 1.007–4.068
 Male484.097, 2.377–6.9072.543, 1.375–3.970
Histologic type0.72420.7160
 LUAD514.537, 2.257–7.2612.486, 1.065–3.521
 LUSC253.980, 2.418–7.7081.988, 1.379–4.557
Smoking or not0.33820.5850
 Non-smoker384.375, 2.486–7.8422.483, 1.067–4.327
 Smoker373.782, 2.217–6.9562.110, 1.252–3.534
Tumor size (cm)0.0444*0.0132*
 ≤2 cm183.240, 1.116–5.4231.576, 0.5273–2.620
 >2 cm584.746, 2.593–7.7942.778, 1.436–4.335
Lymphatic metastasis0.08790.5764
 Negative504.600, 2.563–7.8012.413, 1.384–3.724
 Positive263.096, 1.680–6.6812.481, 0.8369–4.239
Distant metastasis0.59640.5407
 Negative713.791, 2.337–7.3672.439, 1.176–3.850
 Positive56.001, 3.360–11.993.365, 1.175–6.160
Pleura invasion0.51750.2310
 Negative453.980, 2.002–7.5692.110, 0.9606–3.698
 Positive264.679, 2.783–7.3142.861, 1.821–4.239
Vessel carcinoma embolus0.83130.1661
 Negative464.600, 2.297–7.3502.248, 1.067–3.404
 Positive293.739, 2.595–8.5862.704, 1.799–5.275

Note: *Statistically significant, P < 0.05.

Abbreviations: LUAD, lung adenocarcinoma; LUSC, lung squamous cell carcinoma.

Table 2

Clinicopathological Characteristics of NSCLC Patients and miRNA Expression in Non-Malignant Tissues

VariablesNo. of CasesmiR-183-3p Expression (Median, 25–75 Percentile)P valuemiR-182-5p Expression (Median, 25–75 Percentile)P value
Ages0.68860.6339
 ≤65490.5603, 0.3221–0.97900.3505, 0.1706–0.5907
 >65270.5581, 0.4028–1.0280.4080, 0.2257–0.5334
Sex0.09350.0024*
 Female280.4385, 0.3264–0.73170.2198, 0.1350–0.4532
 Male480.6133, 0.4025–1.1450.4225, 0.2614–0.6239
Histologic type0.77890.8679
 LUAD510.5735, 0.3837–0.99830.3743, 0.1768–0.5334
 LUSC250.5581, 0.3664–0.93850.3354, 0.2156–0.5811
Smoking or not0.0135*0.0009*
 Non-smoker380.4385, 0.3102–0.71460.2330, 0.1430–0.4231
 Smoker370.7366, 0.4093–1.2760.4753, 0.2794–0.6272
Tumor size (cm)0.05300.0270*
 ≤2 cm180.4329, 0.2661–0.66270.2141, 0.1579–0.4047
 >2 cm580.5977, 0.4023–1.0060.4062, 0.2225–0.6093
Lymphatic metastasis0.41020.1271
 Negative500.4905, 0.3895–0.82540.3307, 0.1683–0.4969
 Positive260.5930, 0.3599–1.2160.4260, 0.1931–0.7117
Distant metastasis0.30470.6841
 Negative710.5550, 0.3837–0.96810.3505, 0.1772–0.5750
 Positive50.9898, 0.4592–1.5550.4753, 0.2542–0.5512
Pleura invasion0.39520.5720
 Negative450.4953, 0.3968–0.76480.3354, 0.1770–0.5283
 Positive260.7215, 0.3801–0.99060.3801, 0.1875–0.5699
Vessel carcinoma embolus0.16270.4707
 Negative460.4514, 0.3588–0.84020.3549, 0.1642–0.5443
 Positive290.7061, 0.4191–0.99400.3517, 0.2105–0.5814

Note: *Statistically significant, P < 0.05.

Abbreviations: LUAD, lung adenocarcinoma; LUSC, lung squamous cell carcinoma.

Clinicopathological Characteristics of NSCLC Patients and Expression of miR-183-3p and miR-182-5p in Tumor Tissues Note: *Statistically significant, P < 0.05. Abbreviations: LUAD, lung adenocarcinoma; LUSC, lung squamous cell carcinoma. Clinicopathological Characteristics of NSCLC Patients and miRNA Expression in Non-Malignant Tissues Note: *Statistically significant, P < 0.05. Abbreviations: LUAD, lung adenocarcinoma; LUSC, lung squamous cell carcinoma.

Cell Lines and Culture Conditions

Human NSCLC cell lines H226, H23, H522 and EKVX were obtained from the National Institutes of Health (NIH). The human NSCLC cell lines A549, H1395, H1299, and H1703 and the pulmonary epithelial cell line BEAS-2B were obtained from the National Infrastructure of Cell Line Resource (NICR). All cell lines were cultured in RPMI-1640 medium (Invitrogen, Carlsbad, CA, USA) supplemented with 10% fetal bovine serum (FBS; Gibco, Los Angeles, CA, USA). The cells were maintained at 37°C in a humidified chamber containing 5% CO2 and 95% air.

Quantitative Real-Time PCR (RT-qPCR) of miR-183-3p and miR-182-5p

The miRNA names were standardized according to miRBase version 21.17 The nomenclature of miR/miR* was replaced with −5p/-3p. Total RNA was extracted from tumorous and nonmalignant tissues, eight NSCLC cell lines (A549, H226, H1395, H23, H522, H1703, H1299, and EKVX) and one immortalized pulmonary epithelial cell line (BEAS-2B) using the mirVana™ miRNA Isolation Kit (Thermo Fisher Scientific, Vilnius, LTU) following the manufacturer’s instructions. Subsequently, cDNA was synthesized from total RNA using a TaqManTM MicroRNA Reverse Transcription Kit (Thermo Fisher Scientific, Vilnius, LTU). Then, RT-qPCR was performed by TaqMan® MicroRNA Assays (Thermo Fisher Scientific, Pleasanton, CA, USA) at Applied Biosystems 7500 (Thermo Fisher Scientific, Waltham, MA, USA) according to the following protocol: 50°C for 2 min, followed by 95°C for 10 min, followed by 40 cycles of 95°C for 15 sec, and 60°C for 60 sec. We evaluated all RT-qPCR data by normalizing gene expression to U6 small nuclear RNA (U6) expression as an endogenous control and using the 2−ΔΔCt method. More specifically, the A549 cell line was selected as a reference sample during the RT-qPCR of tumorous and nonmalignant tissue samples. The BEAS-2B cell line was selected as a reference sample during RT-qPCR of NSCLC cell lines, including A549. The reference sample was evaluated in each run and each measurement was performed in triplicate. The assay IDs of microRNA-specific stem-loop RT primers (Thermo Fisher Scientific, Pleasanton, CA, USA) were as follows: hsa-miR-183-3p 002270, hsa-miR-182-5p 002334, and U6 snRNA 001973. The assay IDs of microRNA-specific TaqMan™ MGB probes (Thermo Fisher Scientific, Pleasanton, CA, USA) were as follows: hsa-miR-183-3p 002270, hsa-miR-182-5p 002334, and U6 snRNA 001973.

Cell Transient Transfection

The reagents miR-183-3p mimic, miR-183-3p inhibitor and corresponding NC were obtained from Sangong Biotech (Shanghai, China), and the sequences are as follows: hsa-miR-183-3p mimic (GUGAAUUACCGAAGGGCCAUAA), hsa-miR-183-3p inhibitor (UUAUGGCCCUUCGGUAAUUCAC), mimic NC (UUGUACUACACAAAAGUACUG), and inhibitor NC (CAGUACUUUGUGUAGUACAA). The mimic NC and inhibitor NC used in this study were meaningless RNA sequences from the Caenorhabditis elegans genome that do not exist in humans. For transient transfection, cells in logarithmic phase were seeded in 24-well plates at 1×105 to 1.2×105 cells per well. After 24 hours, the cells reached 70–80% confluence and were transfected with the miR-183-3p mimic, miR-183-3p inhibitor, or corresponding negative control (NC) using RNA-TransMate (Ref. E607402-0500, Sangong Biotech, Shanghai, China) according to the instructions provided. RNA-TransMate was added to all blank control groups at equal proportion as the other groups.

Cell Growth Curve Assay

A Cell Counting Kit-8 (CCK-8; Dojindo Molecular Technologies, Kumamoto, Japan) assay was performed according to the manufacturer’s instructions to examine the proliferation ability of NSCLC cells. A549, H226, BEAS-2B and H1395 cell lines were seeded in flat-bottom 96-well plates. A549 and H226 cells were seeded at 4000 cells per well, while BEAS-2B and H1395 cells were seeded at 5000 cells per well. All seeded plates were incubated for 24, 48, 72, and 96 hours after transfection. Then, 10 μL of CCK-8 reagent was added to each well of 96-well plates. The plates were incubated for 2 hours at 37°C in a humid atmosphere containing 5% CO2. The absorbance values at 450 nm of each well were measured with an EL-800 Universal Microplate Reader (BioTek Instruments, Inc., Winooski, VT, USA).

Colony Formation Assay

Transfected cells were suspended in 2 mL of culture medium and seeded in six-well plates. A total of 200 A549 or H226 cells per well and 300 BEAS-2B or H1395 cells per well were used. The cells were maintained at 37°C for 7 to 14 days, which varied among different cell types. Then, colony formation was halted, and the cells were washed twice with PBS, fixed and stained with 2% crystal violet. Colonies with more than 50 cells in each well were counted under an optical microscope.

Clinicopathological and Prognostic Analyses in TCGA

To validate the clinicopathological and prognostic value of miR-183-3p, expression information and corresponding clinical data were downloaded from TCGA using OncoLnc18 () and Assistant for Clinical Bioinformatics (). The included studies met the publication guidelines provided by TCGA. The top 10% and the bottom 10% miR-183-3p or miR-182-5p expression was defined as the cutoff value between the high and low expression groups.

Statistical Analysis

All statistical analyses were conducted using SPSS version 22.0 (Chicago, IL, USA) and graphed using GraphPad Prism version 5.0 (La Jolla, CA, USA). A P value less than 0.05 was considered statistically significant. For analysis of the RT-qPCR data and clinical information of 76 included patients in Beijing Chest Hospital, Student’s t-test was used when the dataset fit a normal distribution, and a nonparametric test was used when the dataset did not fit a normal distribution. The relationship between miR-183-3p and miR-182-5p was analyzed using linear correlation analysis. For bioinformatics analysis in TCGA, the correlation between miR-183-3p expression and clinicopathological factors (tumor size, histology, smoking) was evaluated using the rank sum test. The Kaplan-Meier method was used to estimate the prognostic significance for overall survival (OS), and survival curves were compared through the Log rank test.

Results

Relative miR-183-3p and miR-182-5p Expression Evaluated by RT-qPCR

The expression levels of miR-183-3p and miR-182-5p in 76 paired NSCLC tissues and adjacent noncancerous tissues were quantified by RT-qPCR. The results show that these two genes were significantly increased in tumor tissues. The median miR-183-3p expression was 4.097 (25–75 percentile, 2.365–7.361) in lung cancer tissues and 0.5592 (25–75 percentile, 0.3859–0.9922) in adjacent noncancerous tissues. The median miR-182-5p was 2.460 (25–75 percentile, 1.191–3.970) in lung cancer tissues and 0.3630 (25–75 percentile, 0.1795–0.5708) in adjacent noncancerous tissues. Remarkably, miR-183-3p and miR-182-5p were higher in lung cancer tissues than in adjacent noncancerous tissues (both P < 0.0001) (Figure 1A and B). Further subgroup analysis among various TNM stages, different histological types and smoking status showed that these two genes were significantly higher in tumor tissues than in normal lung tissues (Figure 1C–H).
Figure 1

Relative miR-183-3p or miR-182-5p expression in cancer and normal tissues detected by RT-qPCR. (A and B) Relative miR-183-3p and miR-182-5p expression in cancer and normal tissues of the included patients. **Statistical significance P < 0.01. (C and D) Relative miR-183-3p and miR-182-5p expression in the NSCLC TNM stage I, stage II and stage III+IV groups. (E and F) Relative miR-183-3p and miR-182-5p expression in cancer and normal tissues of different histologic types. (G and H) Figure 1G. Relative miR-183-3p and miR-182-5p expression in cancer and normal tissues of nonsmokers and smokers. *Statistical significance P < 0.05. **Statistical significance P < 0.01.

Relative miR-183-3p or miR-182-5p expression in cancer and normal tissues detected by RT-qPCR. (A and B) Relative miR-183-3p and miR-182-5p expression in cancer and normal tissues of the included patients. **Statistical significance P < 0.01. (C and D) Relative miR-183-3p and miR-182-5p expression in the NSCLC TNM stage I, stage II and stage III+IV groups. (E and F) Relative miR-183-3p and miR-182-5p expression in cancer and normal tissues of different histologic types. (G and H) Figure 1G. Relative miR-183-3p and miR-182-5p expression in cancer and normal tissues of nonsmokers and smokers. *Statistical significance P < 0.05. **Statistical significance P < 0.01. In addition, the RT-qPCR results of cell lines also showed that the relative expression of miR-183-3p and miR-182-5p was significantly increased in all NSCLC cell lines except A549 (Figure 2A and B). According to the RT-qPCR results, A549, H226 and BEAS-2B cells were selected for miR-183-3p overexpression. H1395 cells were selected for miR-183-3p knockdown.
Figure 2

Relative miR-183-3p or miR-182-5p expression in NSCLC cell lines and BEAS-2B cells detected by RT-qPCR. (A) Relative miR-183-3p expression in various NSCLC cell lines and BEAS-2B cell lines. *Statistical significance P < 0.05. **Statistical significance P < 0.01. (B) Relative miR-182-5p expression in various NSCLC cell lines and BEAS-2B cell lines. **Statistical significance P < 0.01.

Relative miR-183-3p or miR-182-5p expression in NSCLC cell lines and BEAS-2B cells detected by RT-qPCR. (A) Relative miR-183-3p expression in various NSCLC cell lines and BEAS-2B cell lines. *Statistical significance P < 0.05. **Statistical significance P < 0.01. (B) Relative miR-182-5p expression in various NSCLC cell lines and BEAS-2B cell lines. **Statistical significance P < 0.01.

Clinicopathological Analysis of miR-183-3p or miR-182-5p Expression

We further evaluated the correlation between miR-183-3p or miR-182-5p expression and the clinicopathological characteristics of 76 included patients. In tumor tissues, the results showed that miR-183-3p (P = 0.0444) and miR-182-5p (P = 0.0132) were correlated with tumor size (maximum diameter > 2 cm). In contrast, no correlation was detected with age, sex or other clinicopathological parameters (Table 1). In adjacent nonmalignant tissues, the results showed that miR-182-5p was correlated with tumor size (P = 0.0270) and was higher in males than females (P = 0.0024). Interestingly, we also found that miR-183-3p and miR-182-5p were upregulation in nonmalignant tissues of smokers (Figure 1G and H). Moreover, no correlation was detected with age, histological type or other clinicopathological parameters (Table 2). In addition, as most of the included patients were in TNM stage I (42 of 76, 55.3%), we further analyzed the correlation between the expression of these two genes and the clinical information of stage I patients. Then we found that the upregulation of miR-182-5p in tumor tissues was significantly correlated with vascular tumor thrombus (P = 0.0418).

Relationship Between miR-183-3p and miR-182-5p

We further explored the relationship between the expression of miR-183-3p and miR-182-5p. The linear correlation analysis of miR-183-3p and miR-182-5p expression in tumor tissues showed a strong positive correlation with each other (r = 0.8519, P < 0.001) (Figure 3A). Furthermore, we also found that the expression level of miR-182-5p presented a coincident change in miR-183-3p artificially up- or down-regulated cell models (Figure 3B). Expression level of miR-182-5p increased in H226 cell line when transfected with miR-183-3p mimic after 24 hours. Similarly, expression level of miR-182-5p decreased in H23 cell line when transfected with miR-183-3p inhibitor after 24 hours. This phenomenon may support the positive correlation between these two genes.
Figure 3

Correlation between the relative expression of miR-183-3p and miR-182-5p detected by RT-qPCR. (A) Correlation between relative miR-183-3p expression and relative miR-182-5p expression. (B) Relative miR-182-5p expression in a miR-183-3p overexpression or suppression cell model. H23 or H226 control, H23 or H226 cell lines transfected with RNA-TransMate only. H23 si-miR-183-3p, H23 cell line transfected with the miR-183-3p inhibitor. H226 miR-183-3p OE, H226 cell line transfected with the miR-183-3p mimic. *Statistical significance P < 0.05. **Statistical significance P < 0.01.

Correlation between the relative expression of miR-183-3p and miR-182-5p detected by RT-qPCR. (A) Correlation between relative miR-183-3p expression and relative miR-182-5p expression. (B) Relative miR-182-5p expression in a miR-183-3p overexpression or suppression cell model. H23 or H226 control, H23 or H226 cell lines transfected with RNA-TransMate only. H23 si-miR-183-3p, H23 cell line transfected with the miR-183-3p inhibitor. H226 miR-183-3p OE, H226 cell line transfected with the miR-183-3p mimic. *Statistical significance P < 0.05. **Statistical significance P < 0.01.

Relationship Between miR-183-3p and the Proliferation Ability of Cell Lines

The CCK-8 assay results showed that the proliferation of the A549, H226 and BEAS-2B cell lines transfected with the miR-183-3p mimics was significantly promoted compared with that of the cells transfected with the negative control (Figure 4A–C). Moreover, the proliferation ability of the H1395 cell line transfected with miR-183-3p inhibitors was significantly reduced (Figure 4D).
Figure 4

Proliferation ability changes in the miR-183-3p overexpression or suppression cell models. (A–C) CCK-8 assays were performed to measure the proliferation abilities of A549, H226 and BEAS-2B cells transfected with the miR-183-3p mimic. miR-183-3p OE, cells transfected with the miR-183-3p mimic. (D) CCK-8 assays were performed to measure the proliferation ability of H1395 cells transfected with the miR-183-3p inhibitor. si-miR-183-3p, cells transfected with the miR-183-3p inhibitor. (E–G) Colony formation assays were conducted to measure the proliferation abilities of A549, H226 and BEAS-2B cells transfected with the miR-183-3p mimic. Significant differences could be observed from representative pictures of culture plates (E), number of colonies (F) and colony formation rate (G). miR-183-3p OE, cells transfected with the miR-183-3p mimic. *Statistical significance P < 0.05. **Statistical significance P < 0.01. (H–J) Colony formation assays were conducted to measure the proliferation ability of H1395 cells transfected with the miR-183-3p mimic. Significant differences could be observed from representative pictures of culture plates (H), number of colonies (I) and colony formation rate (J). si-miR-183-3p, cells transfected with the miR-183-3p inhibitor. *Statistical significance P < 0.05.

Proliferation ability changes in the miR-183-3p overexpression or suppression cell models. (A–C) CCK-8 assays were performed to measure the proliferation abilities of A549, H226 and BEAS-2B cells transfected with the miR-183-3p mimic. miR-183-3p OE, cells transfected with the miR-183-3p mimic. (D) CCK-8 assays were performed to measure the proliferation ability of H1395 cells transfected with the miR-183-3p inhibitor. si-miR-183-3p, cells transfected with the miR-183-3p inhibitor. (E–G) Colony formation assays were conducted to measure the proliferation abilities of A549, H226 and BEAS-2B cells transfected with the miR-183-3p mimic. Significant differences could be observed from representative pictures of culture plates (E), number of colonies (F) and colony formation rate (G). miR-183-3p OE, cells transfected with the miR-183-3p mimic. *Statistical significance P < 0.05. **Statistical significance P < 0.01. (H–J) Colony formation assays were conducted to measure the proliferation ability of H1395 cells transfected with the miR-183-3p mimic. Significant differences could be observed from representative pictures of culture plates (H), number of colonies (I) and colony formation rate (J). si-miR-183-3p, cells transfected with the miR-183-3p inhibitor. *Statistical significance P < 0.05. Consistent with this outcome, the colony formation assay revealed that the colony numbers, colony formation rates and colony sizes of A549, H226 and BEAS-2B cell lines transfected with miR-183-3p mimics were significantly increased (Figure 4E–G). In addition, those of the H1395 cell line transfected with miR-183-3p inhibitors were significantly reduced (Figure 4H–J).

Clinicopathological and Prognostic Analysis in TCGA

The analysis of clinicopathological parameters and miR-183-3p expression in TCGA database was carried out in Assistant for Clinical Bioinformatics (), and the results indicate that the upregulation of miR-183-3p expression was significantly correlated with tumor size (2 cm as the cutoff value) (P = 0.0017) (Figure 5A), which was consistent with the previous result of our study. In addition, miR-183-3p was found to be relatively higher in LUSC tumor tissue than in LUAD tumor tissue (P < 0.0001) (Figure 5B). In addition, miR-183-3p was also higher in the tumor tissues of smokers than in that of nonsmokers (P = 0.0057) (Figure 5C).
Figure 5

Bioinformatics analysis of the clinicopathological significance and prognostic value of miR-183-3p in TCGA database. (A–C) Relative miR-183-3p expression among different tumor sizes (A), histological types (B) and smoking histories (C). **Statistical significance P < 0.01. (D–F) Kaplan-Meier curves of NSCLC cases in TCGA database stratified by miR-183-3p expression (bottom 10% [n = 96] versus top 10% [n = 96]) (D). Further respective analysis in LUAD cases (E) and LUSC cases (F) showed different prognostic value.

Bioinformatics analysis of the clinicopathological significance and prognostic value of miR-183-3p in TCGA database. (A–C) Relative miR-183-3p expression among different tumor sizes (A), histological types (B) and smoking histories (C). **Statistical significance P < 0.01. (D–F) Kaplan-Meier curves of NSCLC cases in TCGA database stratified by miR-183-3p expression (bottom 10% [n = 96] versus top 10% [n = 96]) (D). Further respective analysis in LUAD cases (E) and LUSC cases (F) showed different prognostic value. We further carried out a prognostic analysis of miR-183-3p and miR-182-5p using cases in TCGA database. For miR-183-3p, 192 NSCLC cases were included for OS analysis. Patients were categorized into a high miR-183-3p expression group (the highest 10%, n = 96) and a low miR-183-3p expression group (the lowest 10%, n = 96) based on the expression level of miR-183-3p. Kaplan–Meier survival analysis revealed a significant correlation between overall survival and miR-183-3p expression (P = 0.0466) (Figure 5D). Further subgroup analysis indicated that miR-183-3p expression was closely related to poor prognosis in LUAD (P = 0.0147) (Figure 5E). This trend was also observed in LUSC cases, even if there was no statistical significance (P = 0.1594) (Figure 5F). However, for miR-182-5p, Kaplan–Meier survival analysis indicated that there was no difference between the high miR-182-5p expression and low miR-182-5p expression groups (for NSCLC, P = 0.0629; for LUAD, P = 0.5560; for LUSC, P = 0.0552) ().

Discussion

miRNAs are increasingly found to have a potentially important effects on the regulation of malignant progression, and their expression signatures correlate well with specific clinical cancer characteristics.19,20 The miR-183 family, also known as the miR-183 cluster, is a conserved polycistronic miRNA cluster including miR-182-5p, miR-183-5p and miR-96-5p. Some members of this family are always upregulated in various kinds of tumors.21–23 For lung cancer, Zhu et al reported that members of the miR-183 family were highly expressed in lung cancer tissue.14 As a member of the miR-183 family, miR-182-5p has been studied extensively in lung cancer, and the majority of studies referring to lung cancer show that miR-182-5p is significantly increased in tumor tissues and has a cancer-promoting effect.7,8,11,24 miR-182-5p in lung cancer patient serum has also been reported to be a potential diagnostic marker.14 miR-183-3p and miR-183-5p are antisense sequences and are produced from the same precursor miRNA (pre-miRNA). The miR-183-5p expression characteristics in various cancers are inconsistent. For example, miR-183-5p expression is upregulated in several cancer types,25–33 but it decreases in osteosarcoma.34 For lung cancer, studies involving miR-183-5p are limited, and the conclusions are incompatible. Zhang and colleagues35 reported that miR-183-5p was upregulated in tumors and promoted the growth of NSCLC cells through FoxO1 inhibition. However, Meng36 reported in their recent study that miR-183-5p was downregulated in lung cancer and may function as a tumor suppressor. As the reverse complement of miR-183-5p, miR-183-3p has only been reported by a few studies on cancer.37,38 For lung cancer, only F. Xu focused on miR-183-3p expression, but the types of cases included in their study were limited.16 In this study, we included different kinds of histological types of NSCLC patients and paid attention to the clinicopathological significance of miR-183-3p and miR-182-5p in NSCLC. In tumor tissues, we found that miR-183-3p and miR-182-5p expression was significantly increased compared with that in corresponding nonmalignant tissues (Figure 1A and B) and correlated with tumor size (Table 1). Thus, we speculate that miR-183-3p and miR-182-5p may correlate with tumor growth. In addition, among stage I patients, we found that miR-182-5p in tumor tissues was significantly increased in patients with vascular tumor thrombus. Previous studies reported that vascular tumor thrombus was a poor prognostic indicator for patients with lung cancer,39 esophageal squamous cell carcinoma40 and bladder cancer.41 The correlation between miR-182-5p and vascular tumor thrombus found in this study and the poor prognostic value of vascular tumor thrombus found by previous studies may indicate the potential cancer-promoting effect of miR-182-5p to some extent. In nonmalignant tissues, we found that these two miRNAs were significantly increased in smokers (Table 2). To data, few studied have reported the effects of smoking on the expression of the miR-183 family or miR-183-3p. Only one study reported that the upregulation of miR-183-5p was observed in the infected abdominal aortic aneurysm tumor tissues of smokers.42 We further explored the relationship between miR-183-3p or miR-182-5p expression in tumor tissues and smoking history in TCGA database, and the results showed that miR-183-3p was also relatively higher in NSCLC cancer tissue of smokers than that of nonsmokers. We speculate that the upregulation of miR-183-3p may be caused by smoking, and the increase in miR-183-3p may further promote the proliferation of lung cancer cells. In addition, miR-182-5p expression in nonmalignant tissues was also higher in patients with larger tumor sizes and in male patients (Table 2). However, we further found that there were more smokers among patients with larger tumor sizes (32/58) than among patients with smaller tumor sizes (5/18). Similarly, there were also more smokers among males (37/47) than females (0/28). Therefore, we speculated that the higher expression of miR-182-5p in nonmalignant tissues in these two groups (patients with larger tumor size and male patients) may be primarily caused by smoking. As the proliferation-promoting effect of miR-182-5p on lung cancer cell lines has been widely demonstrated by in vitro experiments,9–11 relevant cell phenotype experiments were not included in this study. For miR-183-3p, we performed growth curve assays and colony formation assays in several NSCLC cell lines, and the results indicated that miR-183-3p was positively correlated with cell proliferation (Figure 4A–J). The in vitro experimental results in our study and in previous studies may support the hypothesis that miR-183-3p and miR-182-5p are correlated with tumor growth to some extent. In addition to the above findings, we also noticed that the expression of miR-183-3p and miR-182-5p in tumor tissues was closely positively correlated (Figure 3A). This positive correlation was also verified in vitro experiments (Figure 3B). At present, the relationship between miR-183-3p and miR-182-5p has not been reported before. The confirmed oncogenic role of miR-182-5p and its close positive correlation with miR-183-3p found by our study may further indicate the oncogenic effect of miR-183-3p. Furthermore, in consideration of the same location of miR-183-3p and miR-182-5p on chromosomes, and their similar expression characteristics, we suspect that miR-183-3p may also be a member of the miR-183 cluster, and may act on the same downstream targets as miR-182-5p. Our further studies will further explore this assumption. To further explore the clinical value of miR-183-3p and the prognostic value of these two miRNAs in NSCLC, we performed clinicopathological analysis and a survival study in TCGA database. The clinicopathological analysis results indicated that miR-183-3p was highly expressed in tumor tissues (Figure 5A–5C). In addition, miR-183-3p in LUSC tumors was relatively higher than that in LUAD tumors (Figure 5B), which indicates its potential value for distinguishing LUSC from LUAD and thus may influence treatment options. Furthermore, the correlation between miR-183-3p expression and tumor size could also be verified in TCGA database (Figure 5A). The survival analysis results indicate that patients with high expression of miR-183-3p have a relatively shorter overall survival time, which means that this gene is a meaningful indicator of poor prognosis in NSCLC patients (Figure 5D–5F). The prognostic value of miR-182-5p in lung cancer has been widely explored previously, and several studies report that miR-182-5p expression is correlated with shorter survival time in lung cancer patients.12,14,15 However, the survival analysis of miR-182-5p in our study did not find any correlation between miR-182-5p expression and OS. We speculate that the difference in prognosis prediction of these two miRNAs may be due to the different populations included in the survival analysis of these two miRNAs. In summary, we evaluated the clinical and prognostic values of miR-183-3p and miR-182-5p and further explored the effect of miR-183-3p on NSCLC progression and its relationship with miR-182-5p from different aspects. However, there are still some limitations to this study. First, as miR-183-3p is correlated with malignant biological properties, this gene may also have meaningful diagnostic value, and subsequent studies will explore this further. Second, the patients were included in our study from 2018–10-24 to 2020-1-20. To data, the follow-up data of these patients may not be suitable for prognostic studies. Long-term follow-up of these patients is still in progress, and prognostic research will be present in our later studies.

Conclusion

This study confirmed that miR-183-3p and miR-182-5p are highly expressed in NSCLC tumor tissues and correlated with tumor size. In addition, the expression levels of miR-183-3p and miR-182-5p were closely positively correlated with each other. An increase in miR-183-3p may play an oncogenic role by promoting proliferation and have meaningful prognostic value in NSCLC. Our work might offer some support for the discovery of new prognostic and therapeutic targets in NSCLC.
  41 in total

1.  MiR-182 promotes cell proliferation by suppressing FBXW7 and FBXW11 in non-small cell lung cancer.

Authors:  Hao Chang; Yue-Hong Liu; Li-Li Wang; Ju Wang; Zhi-Hong Zhao; Jun-Feng Qu; Sheng-Fa Wang
Journal:  Am J Transl Res       Date:  2018-04-15       Impact factor: 4.060

2.  Clinical significance of preoperative serum tumor markers in esophageal squamous cell carcinoma.

Authors:  Hongguang Zhao; Wenhu Chen; Jie Wu; Lifang Wang; Weimin Mao
Journal:  J Cancer Res Ther       Date:  2014-11       Impact factor: 1.805

3.  MiR-96 and miR-183 detection in urine serve as potential tumor markers of urothelial carcinoma: correlation with stage and grade, and comparison with urinary cytology.

Authors:  Yasutoshi Yamada; Hideki Enokida; Satoko Kojima; Kazumori Kawakami; Takeshi Chiyomaru; Shuichi Tatarano; Hirofumi Yoshino; Kazuya Kawahara; Kenryu Nishiyama; Naohiko Seki; Masayuki Nakagawa
Journal:  Cancer Sci       Date:  2010-12-19       Impact factor: 6.716

4.  MiR-183 promotes growth of non-small cell lung cancer cells through FoxO1 inhibition.

Authors:  Liqun Zhang; Hongyu Quan; Sihai Wang; XueHui Li; Xiaoyu Che
Journal:  Tumour Biol       Date:  2015-05-17

5.  Diagnostic and prognostic implications of microRNA profiling in prostate carcinoma.

Authors:  Annika Schaefer; Monika Jung; Hans-Joachim Mollenkopf; Ina Wagner; Carsten Stephan; Florian Jentzmik; Kurt Miller; Michael Lein; Glen Kristiansen; Klaus Jung
Journal:  Int J Cancer       Date:  2010-03-01       Impact factor: 7.396

6.  MiR-182 promotes glucose metabolism by upregulating hypoxia-inducible factor 1α in NSCLC cells.

Authors:  Mingliang Wang; Wendong Wang; Jiashun Wang; Jun Zhang
Journal:  Biochem Biophys Res Commun       Date:  2018-06-23       Impact factor: 3.575

7.  [Expression of microRNA-183 in stage II ( gastric cancer and its association with Ezrin protein].

Authors:  Wei-wen Zheng; Chang-ming Huang; Jian-wei Xie; Chao-hui Zheng; Ping Li; Jia-bin Wang; Jian-xian Lin
Journal:  Zhonghua Wei Chang Wai Ke Za Zhi       Date:  2012-07

8.  MicroRNA expression signatures of bladder cancer revealed by deep sequencing.

Authors:  Yonghua Han; Jiahao Chen; Xiaokun Zhao; Chaozhao Liang; Yong Wang; Liang Sun; Zhimao Jiang; Zhongfu Zhang; Ruilin Yang; Jing Chen; Zesong Li; Aifa Tang; Xianxin Li; Jiongxian Ye; Zhichen Guan; Yaoting Gui; Zhiming Cai
Journal:  PLoS One       Date:  2011-03-28       Impact factor: 3.240

Review 9.  The microRNA-183 cluster: the family that plays together stays together.

Authors:  Shweta Dambal; Mit Shah; Brittany Mihelich; Larisa Nonn
Journal:  Nucleic Acids Res       Date:  2015-07-13       Impact factor: 16.971

10.  miR-183 regulates autophagy and apoptosis in colorectal cancer through targeting of UVRAG.

Authors:  Longtao Huangfu; Haihai Liang; Guojie Wang; Xiaomin Su; Linqiang Li; Zhimin Du; Meiyu Hu; Yuechao Dong; Xue Bai; Tianyi Liu; Baofeng Yang; Hongli Shan
Journal:  Oncotarget       Date:  2016-01-26
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  3 in total

1.  Expression, Clinical Significance, Immune Infiltration, and Regulation Network of miR-3940-5p in Lung Adenocarcinoma Based on Bioinformatic Analysis and Experimental Validation.

Authors:  Zhichao Lin; Wenhai Huang; Zehua Xie; Yongsheng Yi; Zumei Li
Journal:  Int J Gen Med       Date:  2022-08-06

2.  Long non-coding RNA BZRAP1-AS1 functions in malignancy and prognosis for non-small-cell lung cancer.

Authors:  Xuefeng Hao; Minghang Zhang; Meng Gu; Ziyu Wang; Shijie Zhou; Weiying Li; Shaofa Xu
Journal:  PeerJ       Date:  2022-08-23       Impact factor: 3.061

3.  hsa_circ_0003176 Suppresses the Progression of Non-Small-Cell Lung Cancer via Regulating miR-182-5p/RBM5 Axis.

Authors:  Fangfang Yang; YanLi Pei; Wei Xu; Lei Rong
Journal:  Dis Markers       Date:  2022-09-23       Impact factor: 3.464

  3 in total

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