Effects of miR‑218‑1‑3p and miR‑149 on proliferation and apoptosis of non‑small cell lung cancer cells
- Authors:
- Published online on: August 6, 2020 https://doi.org/10.3892/ol.2020.11957
- Article Number: 96
Abstract
Introduction
Lung cancer (1) is one of the most frequently diagnosed cancers nowadays, with high morbidity and mortality (2), which poses a great threat to human health and life. There is small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC), with the latter accounting for 80% of the total (3). Most lung cancer patients are diagnosed at moderate or even advanced stage, with low survival rate. The median survival of patients with untreated metastatic NSCLC is only 4–5 months and the 1-year survival rate is only 10% (4). In the treatment of advanced NSCLC, chemotherapy has very little effect on relieving the symptoms and improving survival (5). Although it has been reported (6) that the combined immune checkpoint blockade has promising benefits for lung cancer, the predictors of response to combined therapy are unclear, and combined immunotherapy cannot overcome the negative predictive impact of high tumor mutation burden. With the development of medical science and technology, targeted therapy has been widely accepted, which facilitates the diagnosis and treatment of NSCLC (7).
miRNA is a kind of small non-coding RNA of ~22 nucleotides (8,9). Studies have shown that abnormal expression of miRNAs can lead to the occurrence and development of human malignant tumors (10–12). In recent years, it has been reported that miR-218-1-3p, as an important member of miRNAs, can inhibit the proliferation of lung cancer cells, block their cell cycle and promote apoptosis (13). In addition, it has been demonstrated that the expression of miR-149 is commonly downregulated in various malignancies, including oral squamous cell carcinoma (14), prostate cancer (15) and colorectal cancer (16), which can inhibit the invasion and migration of related cancer cells (17–19). There are also studies that have shown that lower miR-218-1-3p expression in lung cancer cells (20) and the overexpression of miR-218 can inhibit the migration and invasion of NSCLC cells, but do not affect cell growth (21). Therefore, the effects of miR-218-1-3p and miR-149 on A549 cell apoptosis were explored in the present study.
Patients and methods
Patients
Paired NSCLC and adjacent normal tissues were obtained from 50 patients who underwent NSCLC resection in Shandong Provincial Chest Hospital Affiliated to Shandong University (Jinan, China) between April 2015 and May 2018. There were 33 males and 17 females, with an average age of 56.28±7.32 years. The inclusion criteria were as follows: Patients diagnosed with NSCLC, without other major diseases, with complete medical history and follow-up information available. The exclusion criteria were as follows: Patients who had undergone chemoradiotherapy before surgery, with blood diseases or severe liver and kidney dysfunction. The study was approved by the Medical Ethics Committee of the Shandong Provincial Chest Hospital Affiliated to Shandong University (SPCASU1903). Written informed consents were obtained from all patients or their legal guardians. The study is in line with the requirements for human studies (22).
Main reagents, instruments and detection methods
Main reagentsHuman lung adenocarcinoma A549 cell line was purchased from Shanghai Huzhen Biological Technology Co., Ltd. Apoptosis detection kit was purchased from Shanghai Meilian Biotechnology Co., Ltd. DMEM was purchased from Shanghai Rhawn Chemical Technology Co., Ltd. Fetal bovine serum (10%; FBS) was purchased from Serana Europe GmbH. TRIzol® reagent was purchased from Shanghai Yuduo Biotechnology Co., Ltd., and Lipofectamine™ 3000 was purchased from Tideradar Beijing Technology Co., Ltd. The primer sequences and transfected plasmid synthesis of miR-218-1-3p, miR-149 and internal reference U6 were purchased from Shanghai Xinghan Biotechnology Co., Ltd.
miR-218-1-3p and miR-149 detectionThe expression levels of miR-218-1-3p and miR-149 in NSCLC and adjacent tissues were detected by reverse transcription-quantitative PCR (RT-qPCR). Total RNA was extracted by TRIzol® reagent (Shanghai Yuduo Biotechnology Co., Ltd.) according to the manufacturer's protocol. RNA was reverse transcribed into cDNA using TaqMan Reverse Transcription kit (4366596; Hangzhou Woosen Biotechnology Co., Ltd.) following the manufacturer's instructions. U6 was set as the internal control, and the expression levels of miR-218-1-3p and miR-149 were detected using specific primers of miR-218-1-3p and miR-149 in an ABI 7900HT fluorescence quantitative PCR instrument (Shanghai PuDi Biotechnology Co., Ltd.) according to the manufacturer's instructions. qPCR conditions were as follows: 94°C for 10 sec, 94°C for 5 sec, 52°C for 30 sec, 72°C for 15 sec, for a total of 40 cycles. Three replicates were set for each experiment, and the experiment was repeated three times. The experimental results were analyzed using a relative quantitative method, and the expression levels of miR-218-1-3p and miR-149 were quantified using the 2−ΔCq method (23). Primer sequences are shown in Table I.
Cell culture and transfectionHigh-glucose DMEM containing 10% FBS was used for routine passage culture in an incubator with 5% CO2 at 37°C. The A549 cells were seeded into 6-well plates, and divided into blank group, negative control (NC) group (empty plasmid, 100 nM), miR-218-1-3p mimic group (miR-218-1-3p-shRNA, 100 nM), and miR-149 mimic group (miR-149-shRNA, 100 nM) before transfection. Transfection was then performed on the above four groups using Lipofectamineä 2000 kit, according to the manufacturer's protocol, and the expression levels of miR-218-1-3p and miR-149 in the transfected A549 cells were detected. All plasmids were purchased from HedgehogBio Science and Technology, Ltd. The medium was changed 24 h after transfection and then the cells were further cultured for 48 h and collected.
Cell growth detectionFour groups of transfected A549 cells were inoculated into 96-well plates, respectively, and three multiple wells were set in each well. Cell proliferation colorimetric reagent (CCK-8) was added into the wells (20 µl in each well) 2 h before the different time points of culture (24, 48, and 72 h), and then the plates were placed in a cell incubator with 5% CO2 at 37°C. After the cell culture, proliferation was analyzed by measuring the absorbance (OD value) at a wavelength of 490 nm using a fully automated enzyme-labeling instrument (Image Trading Co., Ltd.).
Detection of cell migration and invasionCells were digested with trypsin, resuspended in serum-free medium, and then 200 µl of the resuspended solution were used for the determination of cell migration. A total of 5×104 cells were plated in the upper chamber of Transwell plates. Next, 200 µl of the resuspended solution, containing ~5×104 cells, were collected for the migration experiment and medium containing 10% FBS was added to the subcompartment of the 6-well plate. Following incubation for 24 h at 37°C, the cells in the upper chamber of Transwell assay were wiped off with a cotton swab, whereas the cells that migrated to the lower chamber were stained with 4% paraformaldehyde and 0.1% crystal violet for 15 min. After the Transwell chamber was dried, the membrane was sealed and the penetrating cells were observed and counted under an optical microscope (×200). The experiment was repeated three times. The invasion assay was performed following the aforementioned steps using 8% Matrigel.
Apoptosis detectionCell apoptosis was detected using an apoptosis detection kit in accordance with the manufacturer's instructions. The cells that had been transfected for 48 h in the 6-well plates and were stained with Annexin V and propidium iodide were detected by a BD flow cytometer (BD Biosciences), and the experiment was repeated three times. The apoptosis rate was analyzed using FlowJo v10 software (FlowJo LLC).
Statistical analysisSPSS 22.0 software (IBM Corp.) was used for the statistical analysis of the experimental data. t-test was used for the comparison of the measurement data which were expressed as the mean ± standard deviation (mean ± SD). ANOVA (F analysis) was applied for multiple group comparisons, whereas repeated measures ANOVA was used for intra-group comparisons among different time points. P<0.05 was considered to indicate a statistically significant difference.
Results
Expression levels of miRNA-218-1-3p and miRNA-149 in NSCLC and adjacent tissues
The expression levels of miR-218-1-3p in NSCLC and adjacent tissues were 0.59±0.06 and 1.58±0.10 µg/ml, respectively, whereas the expression levels of miR-149 were 2.88±0.80 and 4.98±1.34 µg/ml, respectively. miR-218-1-3p and miR-149 expression levels were significantly lower in NSCLC tissues than those in adjacent tissues (P<0.001), as shown in Table II.
Relative expression levels of miR-218-1-3p and miR-149 in each group of cells after transfection with the mimic vector
The expression levels of miR-218-1-3p in the miR-218-1-3p mimic, NC and blank groups were 2.67±0.21, 0.58±0.05 and 0.58±0.06 µg/ml, respectively, and miR-218-1-3p expression in the miR-218-1-3p mimic group was significantly higher than that in the other two groups (P<0.05) (Table III). In addition, the expression levels of miR-149 in the miRNA-149 mimic, NC and blank groups were 5.03±0.20, 2.86±0.77 and 2.87±0.80 µg/ml, respectively, and the miR-149 expression in the miR-149 mimic group was significantly higher than that in the NC and blank groups (P<0.05). There was no significant difference in the expression levels of miR-218-1-3p and miR-149 between the NC and blank groups (P>0.05) (Table IV). These results indicated that miR-218-1-3p and miR-149 were successfully upregulated in A549 cells after transfection with mimic.
Comparison of the cell growth of human adenocarcinoma cells A549 at different time points
A549 cell growth in the miR-218-1-3p mimic, NC and blank groups at different time pointsAs shown in Table V and Fig. 1, there was no significant difference in the growth of A549 cells among the three groups at 24 h (P>0.05), whereas at 48 and 72 h, the growth of A549 cells in the miR-218-1-3p mimic group was significantly lower than that in the NC and the blank groups (P<0.05). Within each group, there were significant differences in the cell growth of A549 cells at 24, 48 and 72 h (P<0.05).
Table V.Growth of A549 cells in the miR-218-1-3p mimic, NC and blank groups at different time points. |
The results demonstrated that the growth of A549 cells in the miR-149 mimic, NC and blank groups had no significant difference at 24 h (P>0.05), whereas the growth of A549 cells in the miR-149 mimic group was significantly lower than that in NC and blank groups at 48 and 72 h (P<0.05). Within each group, there were significant differences in the cell growth of A549 cells at 24, 48 and 72 h (P<0.05). Details are shown in Table VI and Fig. 2.
Comparison of A549 cell invasion among groupsThe number of invasive cells in the miR-218-1-3p mimic, miR-149 mimic, NC and blank control groups were 80.56±7.25, 81.34±6.98, 136.93±10.23, and 139.78±11.98, respectively. The number of invasive cells in the miR-218-1-3p mimic and miR-149 mimic groups was significantly lower than that of the blank and NC groups, with statistically significant differences (P<0.05, as shown in Table VII.
Comparison of A549 cell apoptosis after transfection among groupsThe apoptotic rates in miR-218-1-3p mimic and miR-149 mimic groups were 26.34±2.12 and 25.74±3.95%, respectively, which were significantly higher than those in the NC group (4.63±0.40%) and blank group (4.56±0.37%) (P<0.05). The apoptotic rates of NC group and blank group showed no significant difference (P>0.05). Details are shown in Table VIII.
Discussion
As one of the most common malignant tumors, lung cancer can be divided into SCLC and NSCLC (24), with the latter presenting slower growth, slower proliferation and later metastasis, while characterized by high mortality and morbidity (25). Therefore, NSCLC has also been clinically treated by inhibiting the proliferation and migration of cancer cells.
MicroRNAs are non-coding small RNAs related to proto-oncogenes, whose abnormal expression results in continuous proliferation or spread and migration of cancer cells eventually leading to death. A previous study has demonstrated that miRNAs could inhibit the expression of important cancer-associated genes and therefore might prove to be useful in the diagnosis and treatment of cancer (26). On this basis, the effects of miR-218-1-3p and miR-149, as important members of the miRNA family, on the proliferation, invasion and apoptosis of NSCLC cells were explored in the present study.
The expression levels of miR-218-1-3p and miR-149 in NSCLC and adjacent tissues were investigated. The results showed that the expression levels of miR-218-1-3p and miR-149 in NSCLC tissues were significantly lower than those in adjacent tissues, suggesting that miR-218-1-3p and miR-149 were downregulated in NSCLC. Ke et al (27) also reported that deletion of miR-149 would lead to increased expression of oncogenes, in consistency with the results of the present study. The relative expression levels of miR-218-1-3p and miR-149 in each group after transfection were also determined. miR-218-1-3p expression in miR-218-1-3p mimic group was significantly higher than that of the NC and blank groups, and miR-149 expression in the miR-149 mimic group was also significantly higher than that in the NC and blank groups. These results suggest that miR-218-1-3p could be upregulated to inhibit the proliferation of cancer cells in the treatment of NSCLC, in agreement with the results of a previous study (28). In addition, miR-149 could also inhibit the proliferation and migration of cancer cells through upregulation. In a preceding study (29), the downregulation of miR-149 was reported in NSCLC, which was roughly the same with the results of the present study. Furthermore, in the same study, the clinical significance of miR-149 in NSCLC was further investigated and the expression of miR-149 was shown to be negatively correlated with tumor size. Also, the 3-year survival rates of patients with different miR-149 expression levels were compared and the results indicated that the patients with poor survival had low miR-149 expression. All these results suggested that upregulation of miR-218-1-3p and miR-149 expression levels could inhibit the proliferation of cancer cells. In the present study, the growth, migration, invasion and apoptosis of human lung adenocarcinoma cells A549 were also studied and compared among the different groups. The results revealed that the growth of A549 cells in the miR-218-1-3p mimic and miR-149 mimic groups was significantly lower than that in the NC and blank groups. Regarding cell invasion, the number of invasive cells in the miR-218-1-3p mimic and the miR-149 mimic groups was significantly lower than that in the blank and the NC groups. As to the apoptosis of human lung adenocarcinoma cells A549, the apoptotic rates in the miR-218-1-3p mimic and miR-149 mimic groups were significantly higher than those in the NC and blank groups, indicating that upregulation of miR-218-1-3p and miR-149 could inhibit the growth and invasion of A549 cells and promote their apoptosis in NSCLC. Chen et al (30) used Transwell assay to detect the changes of cell migration and invasion after transfection. The results showed that inhibited expression of miRNA-218-1-3p could significantly enhance the migration and invasion of A549 cells, which was roughly in line with the findings of the present study. Chen et al (30) also used bioinformatics analysis and showed that miR-218 affected the migration and invasion of cancer cells through high expression, as the result of direct targeting of Robo1.
The present study has also some limitations. The correlation between miR-218-1-3p and miR-149 expression in the development of tumors was not investigated and no relevant research was conducted on drug resistance. These will be the aim of our future research.
In conclusion, miR-218-1-3p and miR-149 were both lowly expressed in NSCLC and upregulation of their expression could inhibit the proliferation and promote the apoptosis of A549 cells facilitating treatment. Thus, miR-218-1-3p and miR-149 could serve as potential markers for the diagnosis and prognosis of NSCLC, and as targeted sites for the treatment of NSCLC, providing a new direction for the clinical treatment and a theoretical basis for further research on new targets of gene therapy for NSCLC.
Acknowledgements
Not applicable.
Funding
No funding was received.
Availability of data and materials
The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request.
Authors' contributions
PG wrote the manuscript. PG and MS performed RT-qPCR and CCK-8 assay. HL and LJ were responsible for the Transwell assay and flow cytometry. NY and YS contributed to the statistical analysis of the data. All authors read and approved the final version of the manuscript.
Ethics approval and consent to participate
The study was approved by the Medical Ethics Committee of the Shandong Provincial Chest Hospital Affiliated to Shandong University (SPCASU1903; Jinan, China). Patients who participated in this research had complete clinical data and written informed consents were obtained from all the patients or their legal guardians.
Patient consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
References
Torre LA, Siegel RL and Jemal A: Lung cancer statistics. Adv Exp Med Biol. 893:1–19. 2016. View Article : Google Scholar : PubMed/NCBI | |
Hirsch FR, Scagliotti GV, Mulshine JL, Kwon R, Curran WJ Jr, Wu YL and Paz-Ares L: Lung cancer: Current therapies and new targeted treatments. Lancet. 389:299–311. 2017. View Article : Google Scholar : PubMed/NCBI | |
Oser MG, Niederst MJ, Sequist LV and Engelman JA: Transformation from non-small-cell lung cancer to small-cell lung cancer: Molecular drivers and cells of origin. Lancet Oncol. 16:e165–e172. 2015. View Article : Google Scholar : PubMed/NCBI | |
Schiller JH, Harrington D, Belani CP, Langer C, Sandler A, Krook J, Zhu J and Johnson DH; Eastern Cooperative Oncology Group, : Comparison of four chemotherapy regimens for advanced non-small-cell lung cancer. N Engl J Med. 346:92–98. 2002. View Article : Google Scholar : PubMed/NCBI | |
Shepherd FA, Rodrigues Pereira J, Ciuleanu T, Tan EH, Hirsh V, Thongprasert S, Campos D, Maoleekoonpiroj S, Smylie M, Martins R, et al: Erlotinib in previously treated non-small-cell lung cancer. N Engl J Med. 353:123–132. 2005. View Article : Google Scholar : PubMed/NCBI | |
Hellmann MD, Nathanson T, Rizvi H, Creelan BC, Sanchez-Vega F, Ahuja A, Ni A, Novik JB, Mangarin LMB, Abu-Akeel M, et al: Genomic features of response to combination immunotherapy in patients with advanced non-small-cell lung cancer. Cancer Cell. 33:843–852.e4. 2018. View Article : Google Scholar : PubMed/NCBI | |
Sequist LV, Bell DW, Lynch TJ and Haber DA: Molecular predictors of response to epidermal growth factor receptor antagonists in non-small-cell lung cancer. J Clin Oncol. 25:587–595. 2007. View Article : Google Scholar : PubMed/NCBI | |
Bartel DP: MicroRNAs: Genomics, biogenesis, mechanism, and function. Cell. 116:281–297. 2004. View Article : Google Scholar : PubMed/NCBI | |
Carthew RW and Sontheimer EJ: Origins and mechanisms of miRNAs and siRNAs. Cell. 136:642–655. 2009. View Article : Google Scholar : PubMed/NCBI | |
Davidson-Moncada J, Papavasiliou FN and Tam W: MicroRNAs of the immune system: Roles in inflammation and cancer. Ann N Y Acad Sci. 1183:183–194. 2010. View Article : Google Scholar : PubMed/NCBI | |
Fabbri M: miRNAs as molecular biomarkers of cancer. Expert Rev Mol Diagn. 10:435–444. 2010. View Article : Google Scholar : PubMed/NCBI | |
Zhou X, Yin C, Dang Y, Ye F and Zhang G: Identification of the long non-coding RNA H19 in plasma as a novel biomarker for diagnosis of gastric cancer. Sci Rep. 5:115162015. View Article : Google Scholar : PubMed/NCBI | |
Wang Z, Zhao Z, Yang Y, Luo M, Zhang M, Wang X, Liμ L, Hou N, Guo Q, Song T, et al: miR-99b-5p and miR-203a-3p function as tumor suppressors by targeting IGF-1R in gastric cancer. Sci Rep. 8:101192018. View Article : Google Scholar : PubMed/NCBI | |
Massano J, Regateiro FS, Januario G and Ferreira A: Oral squamous cell carcinoma: Review of prognostic andet predictive factors. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 102:67–76. 2006. View Article : Google Scholar : PubMed/NCBI | |
Mohler JL, Armstrong AJ, Bahnson RR, D'Amico AV, Davis BJ, Eastham JA, Enke CA, Farrington TA, Higano CS, Horwitz EM, et al: Prostate cancer, version 1.2016. J Natl Compr Canc Netw. 14:19–30. 2016. View Article : Google Scholar : PubMed/NCBI | |
Siegel RL, Miller KD, Fedewa SA, Ahnen DJ, Meester RGS, Barzi A and Jemal A: Colorectal cancer statistics, 2017. CA Cancer J Clin. 67:177–193. 2017. View Article : Google Scholar : PubMed/NCBI | |
Xu K, Liu X, Mao X, Xue L, Wang R, Chen L and Chu X: MicroRNA-149 suppresses colorectal cancer cell migration and invasion by directly targeting forkhead box transcription factor FOXM1. Cell Physiol Biochem. 35:499–515. 2015. View Article : Google Scholar : PubMed/NCBI | |
Kumar B, Khaleghzadegan S, Mears B, Hatano K, Kudrolli TA, Chowdhury WH, Yeater DB, Ewing CM, Luo J, Isaacs WB, et al: Identification of miR-30b-3p and miR-30d-5p as direct regulators of androgen receptor signaling in prostate cancer by complementary functional microRNA library screening. Oncotarget. 7:72593–72607. 2016. View Article : Google Scholar : PubMed/NCBI | |
Chen J, Chen J and Li W: MicroRNA-149 targets specificity protein 1 to suppress human tongue squamous cell carcinoma cell proliferation and motility. Oncol Lett. 13:851–856. 2017. View Article : Google Scholar : PubMed/NCBI | |
Jo SJ: Identification and functional characterization of miR-30c-2-3p, miR-218-1-3p and miR-27a-5p as tumor suppressors in lung adenocarcinoma. 2019. | |
Zhang C, Ge S, Hu C, Yang N and Zhang J: MiRNA-218, a new regulator of HMGB1, suppresses cell migration and invasion in non-small cell lung cancer. Acta Biochim Biophys Sin (Shanghai). 45:1055–1061. 2013. View Article : Google Scholar : PubMed/NCBI | |
Ormond KE, Mortlock DP, Scholes DT, Bombard Y, Brody LC, Faucett WA, Garrison NA, Hercher L, Isasi R, Middleton A, et al: Human germline genome editing. Am J Hum Genet. 101:167–176. 2017. View Article : Google Scholar : PubMed/NCBI | |
Silver N, Best S, Jiang J and Thein SL: Selection of housekeeping genes for gene expression studies in human reticulocytes using real-time PCR. BMC Mol Biol. 7:332006. View Article : Google Scholar : PubMed/NCBI | |
Eramo A, Lotti F, Sette G, Pilozzi E, Biffoni M, Di Virgilio A, Conticello C, Ruco L, Peschle C and De Maria R: Identification and expansion of the tumorigenic lung cancer stem cell population. Cell Death Differ. 15:504–514. 2008. View Article : Google Scholar : PubMed/NCBI | |
Reck M, Rodriguez-Abreu D, Robinson AG, Hui R, Csoszi T, Fulop A, Gottfried M, Peled N, Tafreshi A, Cuffe S, et al: Pembrolizumab versus chemotherapy for PD-L1-positive non-small-cell lung cancer. N Engl J Med. 375:1823–1833. 2016. View Article : Google Scholar : PubMed/NCBI | |
Esquela-Kerscher A and Slack FJ: Oncomirs-microRNAs with a role in cancer. Nat Rev Cancer. 6:259–269. 2006. View Article : Google Scholar : PubMed/NCBI | |
Ke Y, Zhao W, Xiong J and Cao R: miR-149 inhibits non-small-cell lung cancer cells EMT by targeting FOXM1. Biochem Res Int. 2013:5067312013. View Article : Google Scholar : PubMed/NCBI | |
Sun C, Li S, Zhang F, Xi Y, Wang L, Bi Y and Li D: Long non-coding RNA NEAT1 promotes non-small cell lung cancer progression through regulation of miR-377-3p-E2F3 pathway. Oncotarget. 7:51784–51814. 2016. View Article : Google Scholar : PubMed/NCBI | |
Zhao L, Liμ L, Dong Z and Xiong J: miR-149 suppresses human non-small cell lung cancer growth and metastasis by inhibiting the FOXM1/cyclin D1/MMP2 axis. Oncol Rep. 38:3522–3530. 2017.PubMed/NCBI | |
Chen P, Zhao Y and Li Y: miR-218 Inhibits migration and invasion of lung cancer cell by regulating Robo1 expression. Zhongguo Fei Ai Za Zhi. 20:452–458. 2017.(In Chinese). PubMed/NCBI |