MicroRNA‑106a‑5p promotes the proliferation, autophagy and migration of lung adenocarcinoma cells by targeting LKB1/AMPK
Retraction in: /10.3892/etm.2024.12603
- Authors:
- Published online on: October 11, 2021 https://doi.org/10.3892/etm.2021.10857
- Article Number: 1422
-
Copyright: © Zhou et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
Abstract
Introduction
According to a statistical report on 185 countries, the number of new patients with lung cancer in 2018 was 2.09 million, accounting for 11.61% of all tumors (1). Lung cancer was also revealed to account for the largest number of deaths, 1.76 million, representing 18.41% of cancer-related mortality worldwide (1). Developing countries have a high incidence of lung cancer and lung cancer-related death (2). Although new diagnostic techniques and treatments are continuously being implemented in the clinic, the prognosis of patients with lung cancer remains unsatisfactory, with only 15% of patients surviving >5 years after diagnosis (3,4). Lung adenocarcinoma (LUAD) is the most common type of non-small cell lung cancer (NSCLC) and is more likely to occur in women and non-smokers (5-7). Analyzing the pathogenesis of LUAD is an important strategy to identify novel ways to diagnose and treat LUAD.
Liver kinase B1 (LKB1) is a tumor suppressor gene, and clinical studies have indicated that LKB1 is frequently lost or inactivated in patients with lung cancer; therefore, it is considered to be an important gene for lung cancer development and progression (8-10). LKB1 is known to regulate glucose metabolism and maintain cell homeostasis (11-13). LKB1 may be involved in multiple cellular processes by regulating AMP-activated protein kinase (AMPK) activation (14), which is the downstream protein of LKB1(15). LKB1 has also been reported to be involved in the regulation of gene transcription by controlling the phosphorylation of yes-associated protein 1(16). F-box only protein 22 has been reported to link to LKB1 via Lys-63 and cause LKB1 ubiquitination and degradation, thereby causing lung cancer cell proliferation (17). However, there is a lack of research on the upstream regulatory mechanism of LKB1, and the mechanism of LKB1 in LUAD remains unclear.
MicroRNAs (miRNAs/miRs) are a series of short single-stranded RNAs (18) that consist of ~22 nucleotides encoded by an endogenous gene (19). In the cytoplasm, miRNAs directly bind to mRNA by recognizing and binding the 3'-untranslated region (20). miRNAs bind to mRNA by base pairing, causing mRNA degradation or translation inhibition, which is a key mechanism by which miRNAs participate in the regulation of lung cancer occurrence and progression (21-24). In previous years, the regulation of miRNAs in lung cancer has been gradually revealed, such as miR-1254(25), miR-423-5p (26) and miR-647(27), which serve notable roles in the cell cycle, cell adhesion and chemotherapy resistance. Due to the large numbers of miRNA and mRNA molecules, finding key RNAs is an area of focus. Bioinformatics analysis helps with the identification of more important and meaningful RNAs (28). The expression levels of LKB1 have been reported to be regulated by miR-144/451, and miR-144/451 may regulate the downstream AMPK/mTOR pathway by targeting LKB1 and participating in the production of red blood cells (29). In cervical cancer, LKB1 was also revealed to be regulated by miR-155, which can affect proliferation (30).
The present study aimed to determine the effects of miR-106a-5p on the migration, proliferation and autophagy of LUAD cells, and preliminary studied its mechanism in association with the LKB1/AMPK pathway. The current study revealed a miR-106a-5p/LKB1/AMPK pathway that regulated the progression of LUAD cells, which may be a novel target for the treatment of LUAD.
Materials and methods
Bioinformatics analysis
Data for the expression characteristics of miR-106a-5p, and its effects on the prognosis of patients with LUAD in The Cancer Genome Atlas (TCGA; https://portal.gdc.cancer.gov/) were analyzed through StarBase (http://starbase.sysu.edu.cn/index.php). There were 512 LUAD samples and 20 normal samples. There were 512 cases of data on the expression of miR-106a-5p, and 504 cases of data on the relationship between miR-106a-5p and survival. The relationship between miR-106a-5p and the survival rate of patients with LUAD was analyzed by Kaplan-Meier Plotter (http://kmplot.com/analysis/index.php; 150 months).
Tissues collected
A total of 70 LUAD tissues and adjacent normal tissues (>5 cm from the tumor) were obtained from the Pathology Department of Yan'an Hospital Affiliated to Kunming Medical University (Kunming, China), from January 2014 to December 2018. All samples were diagnosed with LUAD by pathological examination. Inclusion criteria: i) Age >20 years; ii) LUAD confirmed by pathological diagnosis; and iii) complete information. Exclusion criteria: i) LUAD combined with other malignant tumors; and ii) receipt of chemotherapy, radiotherapy and other antitumor treatments before enrollment. All tissue samples were soaked in RNAlocker reagent (Shanghai Zeye Biological Technology Co., Ltd.) at 4˚C for 24 h and were then stored at -80˚C. The expression levels of miR-106a-5p and LKB1 mRNA in the samples were detected by reverse transcription-quantitative PCR (RT-qPCR). All patients were treated according to the standard and guidelines for lung cancer (31). According to the median expression level, patients were divided into high expression and low expression groups. The relationship between miR-106a-5p and the 5-year survival rate was analyzed using the Log-rank test. All patients provide oral consent for study participation, and written informed consent was provided by the patient's representative/guardian. The present study was approved the Yan'an Hospital Affiliated to Kunming Medical University Ethics Committee (approval no. KMDY-2017-0104B).
Cell culture and transfection
The LUAD cell lines Calu-3 [American Type Culture Collection (ATCC)® HTB-55] and NCI-H661 (ATCC® HTB-183) were obtained from the ATCC. The cells were cultured in DMEM (Gibco; Thermo Fisher Scientific, Inc.) containing 10% fetal bovine serum (FBS), 100 mg/ml streptomycin and 100 units/ml penicillin (Beijing Solarbio Science & Technology Co., Ltd.), at 37˚C (5% CO2) in a humidified atmosphere. The genes in the cells (2x106/ml) were overexpressed or silenced by plasmid transfection. Briefly, 2 µl Lipofectamine® 2000 (Invitrogen; Thermo Fisher Scientific, Inc.), and 40 pmol miR-106a-5p mimic, miR-106a-5p inhibitor or pcDNA3.1 encoding the full-length of LKB1 (Suzhou GenePharma Co., Ltd.), as well as the corresponding controls, were applied to perform transfection according to the manufacturer's instructions. The cells were transfected with scrambled miR-106a-5p as the negative control (NC) of the mimic. Scrambled inhibitor-NC and empty vector-NC were used as the NCs of the inhibitor and LKB1 vector, respectively. The transfection conditions were as follows: Room temperature, 5% CO2 for 48 h. The sequences were as follows: miR-106a-5p mimic, 5'-AAAAGUGCUUACAGUGCAGGUAG-3'; mimic-NC, 5'-UUCUCCGAACGUGUCACGUTT-3'; miR-106a-5p inhibitor, 5'-CUACCAGCACUGUAAGCACUUUU-3'; inhibitor-NC, 5'-CAGUACUUUUGUGUAGUACAA-3'.
RT-qPCR analysis
Total RNA from Calu-3 and NCI-H661 cells or tumor tissues was acquired using TRIzol® (Thermo Fisher Scientific, Inc.), and the purity was detected. For miR-106a-5p, complementary DNA was synthesized using a miScript kit (Qiagen GmbH) and a miScript SYBR® Green PCR kit was used for qPCR (60 min at 42˚C, 5 min at 70˚C; then held at 4˚C). For mRNA detection, qPCR (95˚C for 10 sec, followed by 40 cycles of 95˚C for 10 sec, 60˚C for 1 min) was performed using cDNA kits (Thermo Fisher Scientific, Inc.) and SYBR® Green PCR Master Mix (Roche Diagnostics), respectively. The standardized reference genes were U6 and GAPDH. The 2-ΔΔCq method was used to analyze the relative expression levels of target miRNA and genes (32). The primer sequences are presented in Table I.
Cell Counting Kit-8 (CCK-8) assay
A total of 1x104 Calu-3 and NCI-H661 cells were seeded in 96-well plates, the cells were cultured at 37˚C in a humidified atmosphere containing 5% CO2 and the medium was replaced every 2 days. After culture, 10 µl CCK-8 (Beyotime Institute of Biotechnology) was added and incubated at 37˚C for 2 h. The optical density (OD) was measured at 450 nm using a microplate reader (Tecan Infinite M200 Micro Plate Reader; Tecan Group, Ltd.) to detect relative cell viability. The OD value on the 1st day was used for normalization.
Colony formation assay
A total of 5x103 Calu-3 and NCI-H661 cells were seeded in a six-well plate, the cells were cultured at 37˚C in a humidified atmosphere containing 5% CO2 and the medium was replaced every 2 days. After culture, colonies >50 cells were fixed with 100% methanol (room temperature for 15 min) and further stained with 0.5% crystal violet at room temperature for 20 min. Colonies were detected under an inverted light microscope (IX71; Olympus Corporation; magnification, x20), and colony formation efficiency was quantified as follows: (Number of clones formed/number of cells seeded) x100%.
Transwell assay
A total of 5x104 Calu-3 and NCI-H661cells were cultured in the upper chamber of a Transwell apparatus (8 µm; BD Biosciences). As a chemoattractant, the bottom chamber was filled with complete medium supplemented with 10% FBS (Beijing Solarbio Science & Technology Co., Ltd.). After 48 h of incubation (37˚C, 5% CO2), the cells that did not migrate through the membrane were removed. The cells were then fixed with 100% methanol (room temperature for 15 min) and stained with 0.2% crystal violet (room temperature for 20 min). Cells that had migrated to the bottom chamber (per field) were counted under an inverted light microscope (IX71; Olympus Corporation), and five fields were randomly selected for observation at x200.
Western blotting
The proteins from Calu-3 and NCI-H661 cells were extracted using Total protein extraction kit (Beijing Solarbio Science & Technology Co., Ltd.). The total protein concentration was determined using a BCA kit (Beyotime Institute of Biotechnology); 40 µg protein was separated by SDS-PAGE (12%) and then transferred to PVDF membranes at 90 V for 90 min. The PVDF membranes were blocked in 5% non-fat milk for 1 h at room temperature. The antibodies anti-p62 (cat. no. ab207305), anti-LC3 (cat. no. ab51520), anti-beclin 1 (BECN1; cat. no. ab114071), anti-LKB1 (cat. no. ab199970), anti-AMPK (cat. no. ab32047), anti-phosphorylated (p)-AMPK (cat. no. ab131357) (all Abcam), anti-tuberin (TSC2; cat. no. 3612), anti-p-TSC2 (cat. no. 3615), anti-mTOR (cat. no. 2972), anti-p-mTOR (cat. no. 2971) (all Cell Signaling Technology Inc.) and anti-GAPDH (cat. no. ab181602; Abcam) were diluted at 1:1,000 with 5% BSA (Beijing Solarbio Science & Technology Co., Ltd.) and added to the membranes at 4˚C overnight. Subsequently, the HRP-conjugated and mouse anti-rabbit IgG secondary antibody (cat. nos. sc-2357, Santa Cruz Biotechnology, Inc.) was diluted at 1:5,000 and added to the membranes at room temperature for 2 h. Protein blot bands were detected by Pierce™ ECL plus western blotting substrate (Thermo Fisher Scientific, Inc.) in ChemiDoc MP (Bio-Rad Laboratories, Inc.). Image Lab V3.0 was used for densitometric analysis.
Dual luciferase reporter assay
The binding sites of miR-106a-5p and LKB1 were predicted using TargetScan (http://www.targetscan.org/vert_72/) The 3'-UTR sequence of wild-type (WT)-LKB1 mRNA was amplified to the downstream site of the pMIR-REPORT luciferase vectors (Ambion; Thermo Fisher Scientific, Inc.). The QuickMutation™ Site-Directed Mutagenesis kit (Beijing Solarbio Science & Technology Co., Ltd.) was used to generate the mutated (MUT)-LKB1 mRNA 3'-UTR. Calu-3 and NCI-H661 cells were seeded into 24-well plates at a density of 3x104/well. After 24 h, 1 µg WT-LKB1 mRNA 3'-UTR or MUT-LKB1 mRNA 3'-UTR luciferase plasmid, 50 nM miR-106a-5p mimic or NC, and 150 ng Renilla luciferase plasmid (Beyotime Institute of Biotechnology) were transfected into cells using Lipofectamine®2000. The cells were then incubated at 37˚C for 24 h. The Dual Luciferase-Reporter 1000 Assay System (Promega Corporation) was used to evaluate luciferase activity. All data were normalized to Renilla luciferase activity.
Statistical analysis
Each measurement was carried out in three parallel tests. All experimental data are presented as the mean ± standard deviation (unless otherwise specified). Statistical analyses were performed using GraphPad Prism 7 software (GraphPad Software, Inc.); multiple groups were analyzed using one-way analysis of variance followed by the Tukey's post hoc test, whereas two groups were analyzed using Student's t-test. The expression levels of miR-106a-5p in the tissues were analyzed by paired t-test. The Log-rank test used to statistically compare survival curves. The correlation between miR-106a-5p and LKB1 mRNA was evaluated by Pearson's correlation coefficient test. P<0.05 was considered to indicate a statistically significant difference.
Results
miR-106a-5p is highly expressed in LUAD and is associated with poor prognosis
In TCGA database, there were 512 patients with LUAD and 20 normal controls. The results revealed that miR-106a-5p was upregulated in LUAD tissues in TCGA (Fig. 1A). According to the results in TCGA database, patients with LUAD with high levels of miR-106a-5p had markedly lower 5-year survival rates compared with patients with low levels (Fig. 1B). The results of RT-qPCR on LUAD tissues also revealed that miR-106a-5p expression levels were significantly upregulated in LUAD tissues compared with those in adjacent normal tissues (Fig. 1C). In addition, high levels of miR-106a-5p were associated with a significantly poorer prognosis in patients with LUAD compared with in patients with low expression (Fig. 1D). These findings suggested that miR-106a-5p may play a pro-cancer role in LUAD.
miR-106a-5p promotes the proliferation and migration of LUAD cells, and inhibits autophagy
To study the effects of miR-106a-5p on LUAD, miR-106a-5p-silenced or miR-106a-5p-overexpressing Calu-3 and NCI-H661 cells were constructed by plasmid transfection. First, the transfection results were verified by RT-qPCR, and it was revealed that the expression levels of miR-106a-5p in the mimic group were significantly increased, whereas those in the inhibitor group were significantly reduced (Figs. 2A and S1A). In Calu-3 cells, overexpression of miR-106a-5p significantly increased cell viability and proliferation, whereas inhibition of miR-106a-5p produced the opposite results (Fig. 2B and C). In addition, the Calu-3 cell migratory ability in the mimic group was significantly higher compared with that in the mimic-NC group, and the migratory ability in the inhibitor group was significantly lower compared with that in the inhibitor-NC group (Fig. 2D). With regard to autophagy, overexpression of miR-106a-5p significantly promoted the protein expression levels of p62 in Calu-3 cells, and significantly inhibited the expression levels of LC3-II/I and BECN1, whereas inhibition of miR-106a-5p induced the opposite results indicating that it promoted autophagy (Fig. 2E). Similar results were observed in NCI-H661 cells (Fig. S1). These findings suggested that the increase in miR-106a-5p levels in LUAD tissues may promote cell proliferation and migration, and inhibit autophagy.
miR-106a-5p-targeting inhibits LKB1 expression
The binding sites of miR-106a-5p and LKB1 are presented in Fig. 3A. When WT-LKB1 and miR-106a-5p were transfected at the same time, the relative luciferase activity in the cells was significantly reduced. When transfected with MUT-LKB1 or NC, the luciferase activity was restored (Fig. 3B and C). These results verified that miR-106a-5p directly targeted LKB1 in Calu-3 and NCI-H661 cells. After transfection with the miR-106a-5p mimic, the protein expression levels of LKB1 in Calu-3 and NCI-H661 cells were significantly decreased (Fig. 3D and E), indicating that miR-106a-5p targeted LKB1. To further analyze the significance of miR-106a-5p and LKB1 in LUAD, the mRNA expression levels of LKB1 were detected in 70 LUAD tissues and adjacent normal tissues, which revealed that LKB1 mRNA was significantly downregulated in LUAD tissues (Fig. 3F). Moreover, in LUAD tissues, the levels of miR-106a-5p and LKB1 mRNA indicated a negative correlation (Fig. 3G). These findings demonstrated that miR-106a-5p may inhibit LKB1 expression.
miR-106a-5p promotes the proliferation and migration of LUAD cells by inhibiting LKB1
To verify the effects of miR-106a-5p targeting LKB1 on LUAD cells by in vitro experiments, Calu-3 and NCI-H661 cells were divided into four groups: Mimic-NC + vector-NC, mimic + vector-NC, mimic + LKB1 and mimic-NC + LKB1. The expression levels of miR-106a-5p and LKB1 were detected in each group. It was determined that the transfection experiments were successful (Fig. 4A-C). Promoting the expression of LKB1 inhibited the viability and proliferation of Calu-3 cells and blocked the promoting effects of miR-106a-5p (Fig. 4D and E). The mimic-NC + LKB1 group had a significantly decreased migratory ability compared with the mimic-NC + vector-NC group. The migration ability of mimic + LKB1 group cells was significantly lower than that of mimic + vector-NC group (Fig. 4F). In the mimic-NC + LKB1 group, the expression levels of LC3-II/I and BECN1 were significantly increased and expression of P62 was decreased compared with in the mimic-NC + vector-NC group, indicating that overexpression of LKB1 promoted autophagy; in addition, compared with the mimic + vector-NC group, overexpression of LKB1 in the mimic + LKB1 group significantly reversed the inhibitory effects of miR-106a-5p on autophagy in Calu-3 cells (Fig. 4G). The trends of associated experimental results in NCI-H611 cells were the same as those in Calu-3 cells (Fig. S2). These findings suggested that in LUAD, LKB1 may inhibit cell proliferation and migration, and that silencing LKB1 could block the effects of miR-106a-5p on cells. This indicated that miR-106a-5p promoted the proliferation and migration of LUAD cells by targeting LKB1.
miR-106a-5p/LKB1 exerts cancer-promoting effects via the AMPK pathway
To analyze the mechanism of LKB1 inhibition in LUAD, the phosphorylation levels of proteins in AMPK-related pathways were measured. Overexpression of miR-106a-5p inhibited the phosphorylation of AMPK and TSC2, and promoted the phosphorylation of mTOR (Fig. 5A and B). Overexpression of LKB1 in the mimic + LKB1 group blocked the promotion of mTOR phosphorylation by miR-106a-5p and the inhibition of AMPK and TSC2 phosphorylation compared with the mimic + vector-NC group (Fig. 5A and B). These findings suggested that miR-106a-5p/LKB1 regulated LUAD cell proliferation and migration through the AMPK pathway.
Discussion
The role of miRNAs in the occurrence and progression of cancer has been extensively studied. In lung cancer, different miRNAs may have different biological effects. miR-155(33), miR-421(34) and miR-425(35) have been reported to promote lung cancer cell proliferation, migration and resistance, thereby promoting lung cancer progression. miR-195(36), miR-337-3p (37) and miR-486-5p (38) may serve suppressive roles in lung cancer. miR-106a-5p is a newly discovered tumor-associated miRNA; in melanoma (39), nasopharyngeal carcinoma (40), osteosarcoma (41) and astrocytoma cells (42), miR-106a-5p has been shown to suppress cell proliferation and migration and inhibit apoptosis. Moreover, in renal cell carcinoma (43), gastric cancer (44) and hepatocellular carcinoma (45), miR-106a-5p has been reported to play a cancer-promoting role. However, the role of miR-106a-5p in LUAD is unclear.
The present study first analyzed the expression characteristics of miR-106a-5p in patients with LUAD from TCGA database and revealed that miR-106a-5p was significantly upregulated in LUAD and that a high level of miR-106a-5p was significantly associated with poor prognosis. A previous study revealed that the plasma miR-106a-5p levels in Chinese patients with lung carcinoma were significantly elevated (46). A study of Chinese male patients with lung squamous cell carcinoma demonstrated that miR-106a-5p was significantly upregulated in tumor tissues, serum and exosomes, and could act as a biomarker (47). In addition, Leidinger et al (48) revealed that miR-106a-5p was significantly upregulated in NSCLC. To analyze the expression characteristics of miR-106a-5p in patients with LUAD in China, the present study detected miR-106a-5p levels in LUAD tissues by RT-qPCR and revealed that, compared with those in normal tissue, miR-106a-5p expression levels were significantly increased, and that high levels of miR-106a-5p were associated with low survival rates. In addition, overexpression of miR-106a-5p could promote cell proliferation and migration, and inhibit autophagy, whereas inhibition of miR-106a-5p produced the opposite result. These findings suggested that miR-106a-5p had a cancer-promoting effect in LUAD.
After further analyzing the cancer-promoting mechanism of miR-106a-5p, it was demonstrated that miR-106a-5p targeted and inhibited LKB1 levels. A recent study indicated that in HPV-16-associated cervical cancer, LKB1 regulated proliferation and autophagy, and its expression level was targeted by miR-106a (49). In the present study, overexpression of LKB1 inhibited the proliferation and migration, and promoted autophagy of Calu-3 and NCI-H661 cells. In addition, overexpression of LKB1 blocked the promoting effects of miR-106a-5p. These results suggested that the cancer-promoting effects of miR-106a-5p may be achieved by inhibiting LKB1 expression.
Numerous studies have confirmed the inhibitory function of LKB1 on tumors. LKB1 has been reported to inhibit tumor cell proliferation and metastasis, and promote apoptosis by enhancing phosphorylation of AMPK (50,51). Overall, ~30% of patients with NSCLC are reported to have mutations in LKB1 worldwide (52). LKB1 mutations can cause abnormal phosphorylation of the PI3K/mTOR pathway, and participate in the progression of lung cancer (53). Han et al (54) revealed that LKB1 inhibited the proliferation of periosteal mesenchymal progenitors and xenograft tumors by inhibiting mTOR phosphorylation, and demonstrated that the LKB1-mTORC1 pathway may be a target for treating osteogenic tumors. TSC2 can be regulated by AMPK as a downstream protein (55). Phosphorylation of TSC2 can inhibit mTOR phosphorylation and regulate autophagy (56-58). Macrophages are known to serve a notable role in the infiltration and autophagy of lung cancer (59,60), and previous research has indicated that LKB1 may have a role in regulating the inflammatory response of macrophages (61). The results of the present study demonstrated that overexpression of miR-106a-5p inhibited the phosphorylation of AMPK and TSC2 proteins, and promoted the phosphorylation of mTOR. Overexpression of LKB1 not only upregulated AMPK and TSC2 phosphorylation, and downregulated mTOR phosphorylation, but also reversed the effects of miR-106a-5p on the phosphorylation of the three proteins. This indicated that miR-106a-5p regulated the phosphorylation of AMPK-related pathways by targeting LKB1 and was involved in the proliferation, migation and autophagy of LUAD cells. However, the present study only included in vitro experiments, thus the mechanism by which miR-106a-5p regulates LUAD by targeting LKB1 requires further in vivo investigation. In summary, it was demonstrated that overexpression of miR-106a-5p could promote the proliferation and migration of LUAD cell lines, and inhibit autophagy, whereas inhibiting the expression level of miR-106a-5p had the opposite effects. miR-106a-5p may regulate the phosphorylation of AMPK, TSC2 and mTOR by inhibiting LKB1, thereby regulating the proliferation, migration and autophagy of LUAD cells. miR-106a-5p may be a prognostic indicator, and inhibiting miR-106a-5p/LKB1 may be helpful for overcoming LUAD.
Supplementary Material
miR-106a-5p promotes the proliferation and migration of lung adenocarcinoma cells, and inhibits autophagy. (A) Expression levels of miR-106a-5p in NCI-H661 cells in each group. (B) Cell viability in each group. (C) Comparison of the cell proliferative ability of each group; magnification, x10. (D) Comparison of the cell migratory ability of each group; magnification, x200. (E) Expression levels of autophagy-related proteins in each group. *P<0.05 vs. mimic-NC group; #P<0.05 vs. inhibitor-NC group. miR, microRNA; NC, negative control; BECN1, beclin 1; LKB1, liver kinase B1. *P<0.05 vs. mimic-NC group; #P<0.05 vs. inhibitor-NC group. miR, microRNA; NC, negative control; BECN1, beclin 1.
miR-106a-5p promotes the proliferation and migration of lung adenocarcinoma cells by inhibiting LKB1. (A) Expression levels of LKB1 protein in NCI-H661 cells in each group. (B) Expression levels of miR-106a-5p in NCI-H661 cells in each group. (C) Protein expression levels of LKB1 in NCI-H661 cells in each group. (D) Cell viability in each group. (E) Comparison of the cell proliferative ability of each group; magnification, x10. (F) Comparison of the cell migratory ability of each group; magnification, x200. (G) Expression levels of autophagy-related proteins in each group. *P<0.05 vs. control or mimic-NC + Vector-NC group; #P<0.05 vs. mimic + Vector-NC group. miR, microRNA; NC, negative control; BECN1, beclin 1; LKB1, liver kinase B1.
Acknowledgements
Not applicable.
Funding
The present study was funded by the Joint Project of Yunnan Provincial Department of Science and Technology, Kunming Medical University (grant no. 2018FE001-096) and the Health Research Project of Kunming Health Construction Committee (grant no. 2019-03-02-023).
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Authors' contributions
YZho and YX conceived and designed the study. YZho, YX, YZha, YLi and LL conducted the experiments. ZL and YLiu collated and analyzed the data. YZho and YX wrote the manuscript. YZho and YX confirm the authenticity of all the raw data. All authors participated in the revision of the manuscript. All authors have read and approved the final manuscript.
Ethics approval and consent to participate
Lung cancer tissue experiments were approved by The Ethics Committee of Yan'an Hospital Affiliated to Kunming Medical University. All patients provided written informed consent.
Patient consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
References
Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA and Jemal A: Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 68:394–424. 2018.PubMed/NCBI View Article : Google Scholar | |
Global Burden of Disease Cancer Collaboration. Fitzmaurice C, Abate D, Abbasi N, Abbastabar H, Abd-Allah F, Abdel-Rahman O, Abdelalim A, Abdoli A, Abdollahpour I, et al: Global, regional, and national cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life-years for 29 cancer groups, 1990 to 2017: A systematic analysis for the global burden of disease study. JAMA Oncol. 5:1749–1768. 2019.PubMed/NCBI View Article : Google Scholar | |
Hagedoorn P, Vandenheede H, Willaert D, Vanthomme K and Gadeyne S: Regional inequalities in lung cancer mortality in belgium at the beginning of the 21st century: The contribution of individual and area-level socioeconomic status and industrial exposure. PLoS One. 11(e0147099)2016.PubMed/NCBI View Article : Google Scholar | |
Bagcchi S: Lung cancer survival only increases by a small amount despite recent treatment advances. Lancet Respir Med. 5(169)2017.PubMed/NCBI View Article : Google Scholar | |
Li X, Li J, Wu P, Zhou L, Lu B, Ying K, Chen E, Lu Y and Liu P: Smoker and non-smoker lung adenocarcinoma is characterized by distinct tumor immune microenvironments. Oncoimmunology. 7(e1494677)2018.PubMed/NCBI View Article : Google Scholar | |
Saito S, Espinoza-Mercado F, Liu H, Sata N, Cui X and Soukiasian HJ: Current status of research and treatment for non-small cell lung cancer in never-smoking females. Cancer Biol Ther. 18:359–368. 2017.PubMed/NCBI View Article : Google Scholar | |
Li J, He J, Zhang Y, Huang Y, Liu S, Li Y, Xu J, He X and Lan Q: Survival in lung cancer among female never-smokers in rural xuanwei and fuyuan counties in eastern yunnan province, China. Zhongguo Fei Ai Za Zhi. 22:477–487. 2019.PubMed/NCBI View Article : Google Scholar : (In Chinese). | |
Park C, Lee Y, Je S, Chang S, Kim N, Jeong E and Yoon S: Overexpression and selective anticancer efficacy of ENO3 in STK11 mutant lung cancers. Mol Cells. 42:804–809. 2019.PubMed/NCBI View Article : Google Scholar | |
Skoulidis F, Goldberg ME, Greenawalt DM, Hellmann MD, Awad MM, Gainor JF, Schrock AB, Hartmaier RJ, Trabucco SE, Gay L, et al: STK11/LKB1 mutations and PD-1 inhibitor resistance in KRAS-mutant lung adenocarcinoma. Cancer Discov. 8:822–835. 2018.PubMed/NCBI View Article : Google Scholar | |
Facchinetti F, Bluthgen MV, Tergemina-Clain G, Faivre L, Pignon JP, Planchard D, Remon J, Soria JC, Lacroix L and Besse B: LKB1/STK11 mutations in non-small cell lung cancer patients: Descriptive analysis and prognostic value. Lung Cancer. 112:62–68. 2017.PubMed/NCBI View Article : Google Scholar | |
Keshavarz P, Inoue H, Nakamura N, Yoshikawa T, Tanahashi T and Itakura M: Single nucleotide polymorphisms in genes encoding LKB1 (STK11), TORC2 (CRTC2) and AMPK alpha2-subunit (PRKAA2) and risk of type 2 diabetes. Mol Genet Metab. 93:200–209. 2008.PubMed/NCBI View Article : Google Scholar | |
Shan T, Xu Z, Liu J, Wu W and Wang Y: Lkb1 regulation of skeletal muscle development, metabolism and muscle progenitor cell homeostasis. J Cell Physiol. 232:2653–2656. 2017.PubMed/NCBI View Article : Google Scholar | |
Li Y, Hu S, Wang J, Chen S, Jia X and Lai S: Molecular cloning, polymorphism, and expression analysis of the LKB1/STK11 gene and its association with non-specific digestive disorder in rabbits. Mol Cell Biochem. 449:127–136. 2018.PubMed/NCBI View Article : Google Scholar | |
Tuo L, Xiang J, Pan X, Hu J, Tang H, Liang L, Xia J, Hu Y, Zhang W, Huang A, et al: PCK1 negatively regulates cell cycle progression and hepatoma cell proliferation via the AMPK/p27Kip1 axis. J Exp Clin Cancer Res. 38(50)2019.PubMed/NCBI View Article : Google Scholar | |
Li N, Wang Y, Neri S, Zhen Y, Fong LWR, Qiao Y, Li X, Chen Z, Stephan C, Deng W, et al: Tankyrase disrupts metabolic homeostasis and promotes tumorigenesis by inhibiting LKB1-AMPK signalling. Nat Commun. 10(4363)2019.PubMed/NCBI View Article : Google Scholar | |
Wang S, Ma K, Zhou C, Wang Y, Hu G, Chen L, Li Z, Hu C, Xu Q, Zhu H, et al: LKB1 and YAP phosphorylation play important roles in Celastrol-induced β-catenin degradation in colorectal cancer. Ther Adv Med Oncol. 11(1758835919843736)2019.PubMed/NCBI View Article : Google Scholar | |
Zhu XN, He P, Zhang L, Yang S, Zhang HL, Zhu D, Liu MD and Yu Y: FBXO22 mediates polyubiquitination and inactivation of LKB1 to promote lung cancer cell growth. Cell Death Dis. 10(486)2019.PubMed/NCBI View Article : Google Scholar | |
Kiss T, Giles CB, Tarantini S, Yabluchanskiy A, Balasubramanian P, Gautam T, Csipo T, Nyúl-Tóth Á, Lipecz A, Szabo C, et al: Nicotinamide mononucleotide (NMN) supplementation promotes anti-aging miRNA expression profile in the aorta of aged mice, predicting epigenetic rejuvenation and anti-atherogenic effects. Geroscience. 41:419–439. 2019.PubMed/NCBI View Article : Google Scholar | |
Lu TX and Rothenberg ME: MicroRNA. J Allergy Clin Immunol. 141:1202–1207. 2018.PubMed/NCBI View Article : Google Scholar | |
Lewis BP, Shih IH, Jones-Rhoades MW, Bartel DP and Burge CB: Prediction of mammalian microRNA targets. Cell. 115:787–798. 2003.PubMed/NCBI View Article : Google Scholar | |
Fischer SE: RNA interference and microRNA-mediated silencing. Curr Protoc Mol Biol. 112:26.1.1–26.1.5. 2015.PubMed/NCBI View Article : Google Scholar | |
Wu KL, Tsai YM, Lien CT, Kuo PL and Hung AJ: The roles of microRNA in lung cancer. Int J Mol Sci. 20(1611)2019.PubMed/NCBI View Article : Google Scholar | |
Ungvari Z, Tarantini S, Nyúl-Tóth Á, Kiss T, Yabluchanskiy A, Csipo T, Balasubramanian P, Lipecz A, Benyo Z and Csiszar A: Nrf2 dysfunction and impaired cellular resilience to oxidative stressors in the aged vasculature: From increased cellular senescence to the pathogenesis of age-related vascular diseases. Geroscience. 41:727–738. 2019.PubMed/NCBI View Article : Google Scholar | |
Darcy J and Tseng YH: ComBATing aging-does increased brown adipose tissue activity confer longevity? Geroscience. 41:285–296. 2019.PubMed/NCBI View Article : Google Scholar | |
Li H, Yang T, Shang D and Sun Z: miR-1254 promotes lung cancer cell proliferation by targeting SFRP1. Biomed Pharmacother. 92:913–918. 2017.PubMed/NCBI View Article : Google Scholar | |
Li W, Zhang B, Jia Y, Shi H, Wang H, Guo Q and Li H: LncRNA LOXL1-AS1 regulates the tumorigenesis and development of lung adenocarcinoma through sponging miR-423-5p and targeting MYBL2. Cancer Med. 9:689–699. 2020.PubMed/NCBI View Article : Google Scholar | |
Jiang W, Zhao X and Yang W: MiR-647 promotes cisplatin-induced cell apoptosis via downregulating IGF2 in non-small cell lung cancer. Minerva Medica. 112:312–313. 2021.PubMed/NCBI View Article : Google Scholar | |
Xiao B, Zhang W, Chen L, Hang J, Wang L, Zhang R, Liao Y, Chen J, Ma Q, Sun Z and Li L: Analysis of the miRNA-mRNA-lncRNA network in human estrogen receptor-positive and estrogen receptor-negative breast cancer based on TCGA data. Gene. 658:28–35. 2018.PubMed/NCBI View Article : Google Scholar | |
Fang X, Shen F, Lechauve C, Xu P, Zhao G, Itkow J, Wu F, Hou Y, Wu X, Yu L, et al: miR-144/451 represses the LKB1/AMPK/mTOR pathway to promote red cell precursor survival during recovery from acute anemia. Haematologica. 103:406–416. 2018.PubMed/NCBI View Article : Google Scholar | |
Lao G, Liu P, Wu Q, Zhang W, Liu Y, Yang L and Ma C: Mir-155 promotes cervical cancer cell proliferation through suppression of its target gene LKB1. Tumour Biol. 35:11933–11938. 2014.PubMed/NCBI View Article : Google Scholar | |
Ettinger DS, Wood DE, Aisner DL, Akerley W, Bauman J, Chirieac LR, D'Amico TA, DeCamp MM, Dilling TJ, Dobelbower M, et al: Non-small cell lung cancer, version 5.2017, NCCN clinical practice guidelines in oncology. J Natl Compr Canc Netw. 15:504–535. 2017.PubMed/NCBI View Article : Google Scholar | |
Livak KJ and Schmittgen TD: Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) method. Methods. 25:402–408. 2001.PubMed/NCBI View Article : Google Scholar | |
Xue X, Liu Y, Wang Y, Meng M, Wang K, Zang X, Zhao S, Sun X, Cui L, Pan L and Liu S: MiR-21 and MiR-155 promote non-small cell lung cancer progression by downregulating SOCS1, SOCS6, and PTEN. Oncotarget. 7:84508–84519. 2016.PubMed/NCBI View Article : Google Scholar | |
Li X, Chen SH and Zeng JW: MiR-421 is overexpressed and promotes cell proliferation in non-small cell lung cancer. Med Princ Pract. 29:80–89. 2020.PubMed/NCBI View Article : Google Scholar | |
Jiang L, Ge W and Geng J: miR-425 regulates cell proliferation, migration and apoptosis by targeting AMPH-1 in non-small-cell lung cancer. Pathol Res Pract. 215(152705)2019.PubMed/NCBI View Article : Google Scholar | |
Zhou LY, Zhang FW, Tong J and Liu F: MiR-191-5p inhibits lung adenocarcinoma by repressing SATB1 to inhibit Wnt pathway. Mol Genet Genomic Med. 8(e1043)2020.PubMed/NCBI View Article : Google Scholar | |
Li Q, Huang Q, Cheng S, Wu S, Sang H and Hou J: Circ_ZNF124 promotes non-small cell lung cancer progression by abolishing miR-337-3p mediated downregulation of JAK2/STAT3 signaling pathway. Cancer Cell Int. 19(291)2019.PubMed/NCBI View Article : Google Scholar | |
Chen T, Zhu J, Cai T, Du W, Zhang Y, Zhu Q, Liu Z and Huang JA: Suppression of non-small cell lung cancer migration and invasion by hsa-miR-486-5p via the TGF-β/SMAD2 signaling pathway. J Cancer. 10:6014–6024. 2019.PubMed/NCBI View Article : Google Scholar | |
Luan W, Zhou Z, Ni X, Xia Y, Wang J, Yan Y and Xu B: Long non-coding RNA H19 promotes glucose metabolism and cell growth in malignant melanoma via miR-106a-5p/E2F3 axis. J Cancer Res Clin Oncol. 144:531–542. 2018.PubMed/NCBI View Article : Google Scholar | |
Zheng YJ, Zhao JY, Liang TS, Wang P, Wang J, Yang DK and Liu ZS: Long noncoding RNA SMAD5-AS1 acts as a microRNA-106a-5p sponge to promote epithelial mesenchymal transition in nasopharyngeal carcinoma. FASEB J. 33:12915–12928. 2019.PubMed/NCBI View Article : Google Scholar | |
He QY, Wang GC, Zhang H, Tong DK, Ding C, Liu K, Ji F, Zhu X and Yang S: miR-106a-5p suppresses the proliferation, migration, and invasion of osteosarcoma cells by targeting HMGA2. DNA Cell Biol. 35:506–520. 2016.PubMed/NCBI View Article : Google Scholar | |
Zhi F, Zhou G, Shao N, Xia X, Shi Y, Wang Q, Zhang Y, Wang R, Xue L, Wang S, et al: miR-106a-5p inhibits the proliferation and migration of astrocytoma cells and promotes apoptosis by targeting FASTK. PLoS One. 8(e72390)2013.PubMed/NCBI View Article : Google Scholar | |
Pan YJ, Wei LL, Wu XJ, Huo FC, Mou J and Pei DS: MiR-106a-5p inhibits the cell migration and invasion of renal cell carcinoma through targeting PAK5. Cell Death Dis. 8(e3155)2017.PubMed/NCBI View Article : Google Scholar | |
Dong S, Zhang X and Liu D: Overexpression of long noncoding RNA GAS5 suppresses tumorigenesis and development of gastric cancer by sponging miR-106a-5p through the Akt/mTOR pathway. Biol Open. 8(bio041343)2019.PubMed/NCBI View Article : Google Scholar | |
Hu B, Cai H, Zheng R, Yang S, Zhou Z and Tu J: Long non-coding RNA 657 suppresses hepatocellular carcinoma cell growth by acting as a molecular sponge of miR-106a-5p to regulate PTEN expression. Int J Biochem Cell Biol. 92:34–42. 2017.PubMed/NCBI View Article : Google Scholar | |
Shan X, Zhang H, Zhang L, Zhou X, Wang T, Zhang J, Shu Y, Zhu W, Wen W and Liu P: Identification of four plasma microRNAs as potential biomarkers in the diagnosis of male lung squamous cell carcinoma patients in China. Cancer Med. 7:2370–2381. 2018.PubMed/NCBI View Article : Google Scholar | |
Zhang L, Shan X, Wang J, Zhu J, Huang Z, Zhang H, Zhou X, Cheng W, Shu Y, Zhu W and Liu P: A three-microRNA signature for lung squamous cell carcinoma diagnosis in Chinese male patients. Oncotarget. 8:86897–86907. 2017.PubMed/NCBI View Article : Google Scholar | |
Leidinger P, Brefort T, Backes C, Krapp M, Galata V, Beier M, Kohlhaas J, Huwer H, Meese E and Keller A: High-throughput qRT-PCR validation of blood microRNAs in non-small cell lung cancer. Oncotarget. 7:4611–4623. 2016.PubMed/NCBI View Article : Google Scholar | |
Cui X, Wang X, Zhou X, Jia J, Chen H and Zhao W: miR-106a regulates cell proliferation and autophagy by targeting LKB1 in HPV-16-associated cervical cancer. Mol Cancer Res. 18:1129–1141. 2020.PubMed/NCBI View Article : Google Scholar | |
Wu B, Chen X, Zhou Y, Hu P, Wu D, Zheng G and Cai Y: Andrographolide inhibits proliferation and induces apoptosis of nasopharyngeal carcinoma cell line C666-1 through LKB1-AMPK-dependent signaling pathways. Die Pharmazie. 73:594–597. 2018.PubMed/NCBI View Article : Google Scholar | |
Kamarudin MNA, Sarker MMR, Zhou JR and Parhar I: Metformin in colorectal cancer: Molecular mechanism, preclinical and clinical aspects. J Exp Clin Cancer Res. 38(491)2019.PubMed/NCBI View Article : Google Scholar | |
Marcus AI and Zhou W: LKB1 regulated pathways in lung cancer invasion and metastasis. J Thorac Oncol. 5:1883–1886. 2010.PubMed/NCBI View Article : Google Scholar | |
Shukuya T, Yamada T, Koenig MJ, Xu J, Okimoto T, Li F, Amann JM and Carbone DP: The effect of LKB1 activity on the sensitivity to PI3K/mTOR inhibition in non-small cell lung cancer. J Thorac Oncol. 14:1061–1076. 2019.PubMed/NCBI View Article : Google Scholar | |
Han Y, Feng H, Sun J, Liang X, Wang Z, Xing W, Dai Q, Yang Y, Han A, Wei Z, et al: Lkb1 deletion in periosteal mesenchymal progenitors induces osteogenic tumors through mTORC1 activation. J Clin Invest. 129:1895–1909. 2019.PubMed/NCBI View Article : Google Scholar | |
Van Nostrand JL, Hellberg K, Luo EC, Van Nostrand EL, Dayn A, Yu J, Shokhirev MN, Dayn Y, Yeo GW and Shaw RJ: AMPK regulation of raptor and TSC2 mediate metformin effects on transcriptional control of anabolism and inflammation. Genes Dev. 34:1330–1344. 2020.PubMed/NCBI View Article : Google Scholar | |
Tripathi DN, Chowdhury R, Trudel LJ, Tee AR, Slack RS, Walker CL and Wogan GN: Reactive nitrogen species regulate autophagy through ATM-AMPK-TSC2-mediated suppression of mTORC1. Proc Natl Acad Sci USA. 110:E2950–E2957. 2013.PubMed/NCBI View Article : Google Scholar | |
Bakula D, Muller AJ, Zuleger T, Takacs Z, Franz-Wachtel M, Thost AK, Brigger D, Tschan MP, Frickey T, Robenek H, et al: WIPI3 and WIPI4 β-propellers are scaffolds for LKB1-AMPK-TSC signalling circuits in the control of autophagy. Nat Commun. 8(15637)2017.PubMed/NCBI View Article : Google Scholar | |
Mans LA, Querol Cano L, van Pelt J, Giardoglou P, Keune WJ and Haramis AG: The tumor suppressor LKB1 regulates starvation-induced autophagy under systemic metabolic stress. Sci Rep. 7(7327)2017.PubMed/NCBI View Article : Google Scholar | |
Yan Y, Chen X, Wang X, Zhao Z, Hu W, Zeng S, Wei J, Yang X, Qian L, Zhou S, et al: The effects and the mechanisms of autophagy on the cancer-associated fibroblasts in cancer. J Exp Clin Cancer Res. 38(171)2019.PubMed/NCBI View Article : Google Scholar | |
Cirone M, Gilardini Montani MS, Granato M, Garufi A, Faggioni A and D'Orazi G: Autophagy manipulation as a strategy for efficient anticancer therapies: Possible consequences. J Exp Clin Cancer Res. 38(262)2019.PubMed/NCBI View Article : Google Scholar | |
Che D, Zhang S, Jing Z, Shang L, Jin S, Liu F, Shen J, Li Y, Hu J, Meng Q and Yu Y: Macrophages induce EMT to promote invasion of lung cancer cells through the IL-6-mediated COX-2/PGE2/β-catenin signalling pathway. Mol Immunol. 90:197–210. 2017.PubMed/NCBI View Article : Google Scholar |