Open Access

miR‑23b suppresses lung carcinoma cell proliferation through CCNG1

Corrigendum in: /10.3892/ol.2018.9790

  • Authors:
    • Hongsheng Han
    • Zhenxian Zhang
    • Xueqin Yang
    • Wenfeng Yang
    • Chengwei Xue
    • Xiaoli Cao
  • View Affiliations

  • Published online on: July 20, 2018     https://doi.org/10.3892/ol.2018.9181
  • Pages: 4317-4324
Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )
Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )


Abstract

Lung carcinoma with high incidence rate could be divided into four subtypes, including small cell carcinoma, squamous cell carcinoma, adenocarcinoma and large cell carcinoma. miR‑23b has been reported to have a low expression and play major roles in abundant tumors, however there is little research in lung carcinoma and hence the purpose of this study was to explore the impact of miR‑23b in lung carcinoma. The RNA level of miR‑23b and cyclin G1 (CCNG1) was measured by reverse transcription quantitative PCR. Luciferase activity reporter assay was used to verify that CCNG1 is a target of miR‑23b. MTT and Transwell assays were utilized to test the functional studies of miR‑23b in lung cancer cells. In lung carcinoma and lung cancer cells miR‑23b expression is low compared with that in paracancerous tissues and normal lung cells. Low miR‑23b expression inhibited lung cancer cell proliferation measured by MTT assay. We applied luciferase reporter to determine whether CCNG1 is a target of miR‑23b and there was a negative correlation between them. Moreover, interference with CCNG1 reduced the cell proliferation ability, which partially reversed function of miR‑23b. miR‑23b inhibited cell proliferation of lung cancer by directly targeting CCNG1. It is suggested that miR‑23b/CCNG1 axis may present a new target for the treatment of lung cancer.

Introduction

Lung carcinoma has the highest incidence and mortality rates worldwide (1,2). Lung carcinoma could be divided into several subtypes, including small cell carcinoma, squamous cell carcinoma, adenocarcinoma and large cell carcinoma and the last three types are collectively called non-small cell lung cancer (NSCLC), accounting for 80–85% of all the lung carcinomas (3). There are several incidence factors in the pathogenesis of lung carcinoma, including air pollution, smoking, occupation and eating habits (4,5). Therefore, to clarify the molecular mechanisms of the tumorigenesis and progression of lung carcinoma is necessary.

MicroRNAs (miRNAs) are a cohort of small non-coding RNAs, which are ~22–28 oligonucleotides in length (6). miRNAs affect the cell process regulation by binding to the 3′UTR of the mRNA of their target gene at post-transcriptional level (714). miR-23b, has been reported to have low expression and be involved in multiple tumors, such as ovarian, bladder hepatocellular and prostate cancers (1518). In hepatocellular cancer, miR-23b downregulates the expression of urokinase, c-Met and suppresses the migration and epithelial-mesenchymal transition (EMT) (15,19). Similar results have been reported in experimental autoimmune encephalomyelitis, i.e., that miR-23b suppresses leukocyte migration and pathogenesis (20). In prostate cancer miR-23b represses proto-oncogene Src kinase and is associated with cancer diagnosis and prognosis (16). However, the specific function and regulatory mechanism of miR-202 in lung carcinoma progression has not been reported.

Cyclin G1 (CCNG1), acts as a target of p53, is a member of G-type cyclins located at chromosome 5q-32-q34, which has six exons and constitutes of 259 amino acids (21,22). CCNG1 acts as a cell cycle regulator in human tumor cells such as cervical carcinoma, hepatocellular carcinoma, breast cancer and lung carcinoma (21,2326). In hepatocellular carcinoma, Wen et al revealed that CCNG1 may act as a promising biomarker and contribute to the recurrence and chemoresistance (24). Morever, some miRNAs could interact with CCNG1 to affect tumor progression. miR-1271 and miR-23b through targeting CCNG1 inhibit ovarian cancer growth and progression (27,28).

In this study, we mainly investigated the correlation of miR-23b and CCNG1 and the impact on lung carcinoma. We measured the mRNA expression level of miR-23b and CCNG1 in lung carcinoma tissues and lung cancer cells, using paracancerous tissues and normal lung cell as internal reference, respectively. We also explored the effects of changing miR-23b expression on the cell proliferation ability of lung cancer cells A549 and NCI-H460. Furthermore, we investigated the relationship between miR-23b or CCNG1 expression and the survival of patients. The role of miR-23b and CCNG1 in lung carcinoma was explored.

Materials and methods

Tissue specimens

According to WHO classification, 57 samples from patients with lung carcinoma and paracancerous tissues were collected from People's Hospital of Yan'an City (Yan'an, China) from 2014 to 2016. All the specimens were frozen immediately after surgery and stored at −80°C before RNA extraction and other tests. No patient had received any therapy, including radiotherapy or chemotherapy, before surgery. The complete clinicopathological features of the patients with lung carcinoma (5 small cell carcinoma, 24 squamous cell carcinoma, 19 adenocarcinoma and 9 large cell carcinoma) are described in Table I. Of this cohort, 28 patients were diagnosed at advanced stage (stages III/IV) and all of these patients did not suffer from distant metastasis at initial diagnosis. Written informed consent was obtained from all patients and the study was approved by the Ethics Committee of People's Hospital of Yan'an City (Yan'an, China).

Table I.

miR-23b expression and clinicopathological features in 57 paired lung carcinoma tissues.

Table I.

miR-23b expression and clinicopathological features in 57 paired lung carcinoma tissues.

miR-23b expression

Clinicopathological featuresCases (n=57)26 High (%)31 Low (%)P-value
Sex
  Male3212 (37.5)20 (62.5)0.164
  Female2514 (56.0)11 (44.0)
Age (years)
  ≤603115 (48.4)16 (51.6)0.646
  >602611 (42.3)15 (57.7)
Tumor size (mm)
  ≤5.03520 (57.1)15 (42.9)0.028a
  >5.0226 (27.3)16 (72.7)
TNM stage
  I–II2917 (58.6)12 (41.4)0.045a
  III–IV289 (32.1)19 (67.9)
Local invasion
  T1-T22414 (58.3)10 (41.7)0.100
  T3-T43312 (36.4)21 (63.6)
Lymph node metastasis
  0–23018 (60.0)12 (40.0)0.022a
  >2278 (29.6)19 (70.4)
Ki-67
  <14%1712 (70.6)5 (29.4)0.030a
  ≥14%4014 (35.0)26 (65.0)
CCNG1
  Negative2617 (65.4)9 (34.6)0.018a
  Positive319 (29.0)22 (71.0)

{ label (or @symbol) needed for fn[@id='tfn1-ol-0-0-9181'] } P-values were calculated with Chi-square test.

a P<0.05.

Cell lines and culture conditions

Two human lung cancer cell lines (A549 and NCI-H460) and normal lung cells (MRC-5) were obtained from the American Type Culture Collection (ATCC, Rockville, MD, USA). All the cells were maintained in RPMI-1640 medium (Gibco; Thermo Fisher Scientific, Inc., Waltham, MA, USA) supplemented with 10% fetal bovine serum (FBS; Sigma-Aldrich; Merck KGaA, Darmstadt, Germany) cultured at 37°C in an atmosphere with 5% CO2.

RNA isolation and reverse transcription quantitative PCR (RT-qPCR)

Total RNA or miRNA was isolated and extracted using TRIzol reagent (Invitrogen; Thermo Fisher Scientific, Inc.) or miRcute Extraction and Separation of miRNAs kit (Tiangen Biotech Co., Ltd., Beijing, China) according to the manufacturer's instructions. To detect the expression of miRNA or mRNA, cDNA was reverse-transcribed using PrimeScript™ II 1st strand cDNA synthesis kit (Takara Biotechnology Co., Ltd., Dalian, China). Then RT-qPCR was performed using the SYBR Premix kit or SYBR PrimeScript miRNA RT-PCR kit (both from Takara Biotechnology Co., Ltd.). The thermocycling conditions were 95°C for 3 min and 40 cycles of 95°C for 15 sec followed by 60°C for 30 sec. Normalization was carried out using glyceraldehyde-3-phosphate or dehydrogenase (GAPDH) and U6 small nuclear RNA (U6). The relative expression levels of miRNA and mRNA were calculated using 2−ΔΔCq method (29). All experiments were repeated at least 3 times. The primers were as follows: miR-23b forward, 5′-GGTGCTCTGGCTGCTTGG-3′ and reverse, 5′-GCCAAGGTCGTGGTTGCG-3′; U6 forward, 5′-CTCGCTTCGGCAGCACA-3′ and reverse, 5′-AACGCTTCACGAATTTGCGT-3′; CCNG1 forward, 5′-GTTACCGCTGAGGAGCTGCAGTC-3′ and reverse, 5′-GCAGCCATCCTGGATGGATTCAG-3′; GAPDH forward, 5′-GGTGAAGGTCGGAGTCAACG-3′ and reverse, 5′-CAAAGTTGTCATGGATGHACC-3′.

Transfection

miR-23b mimic, miR-23b inhibitor and their negative control (NC) were purchased from Guangzhou RiboBio Co., Ltd. (Guangzhou, China). To assess the efficiency of miR-23b on cell proliferation, we transfected miR-23b mimic or inhibitor into lung cancer A549 and NCI-H460 cells, in order to overexpress or knock down miR-23b expression, and normal control (NC) was included. To detect the effect of miR-23b through CCNG1 for cell proliferation, we used siRNA to interfere with the expression of CCNG1.

We seeded the lung cancer cells A549 and NCI-H460 into 6-well plates to cultivate overnight before transfection. The plasmid vectors were transfected using Lipofectamine 3000 reagent (Invitrogen; Thermo Fisher Scientific, Inc.) according to the manufacturer's instructions.

Cell proliferation assay

Before the experiments, we seeded the lung cells into 96-well plates with a density of 5×103 cells/well. 3-(4,5-Dimethyl-2-thia-zolyl)-2,5-diphenyl-2-H-tetrazolium bromide (MTT; Santa Cruz Biotechnology, Inc., Dallas, TX, USA) assay was used to test the cell proliferative activity. After cultured for 24, 48, 72 or 96 h, 10 µl of MTT solution (5 mg/ml) were added in each well. After cell incubattion with the MTT reagent at 37°C for 4 h, we added 150 µl dimethyl sulphoxide (DMSO), and measured the absorbance at 490 nm on a microplate reader (BioTek Instruments, Inc., Winooski, VT, USA). All experiments were repeated at least 3 times.

Transwell assay

The cell invasion assay was performed using Transwell inserts (Millipore, Boston, MA, USA) coated with Matrigel (BD Biosciences, Franklin Lakes, NJ, USA) on the upper surface. Following the procedures described in the manufacturer's instructions, 200 µl serum-free medium cell suspension containing 5×104 cells were added to the upper chamber of the insert. Next, 500 µl RPMI-1640 medium with 15% FBS were added into the lower compartment as a chemoattractant. After incubation at 37°C for 24 h, the cells on the upper surface of the membrane were carefully removed using cotton swab and cells on the lower surface were fixed at room temperature for 30 min with 100% methanol and stained for 20 min at room temperature with 0.1% crystal violet. Five visual fields of ×200 magnification of each insert were randomly selected and counted under a light microscope (Olympus Corp., Tokyo, Japan). Each experiment was performed in triplicate.

Protein extraction and western blotting

Total proteins were extracted from lung cancer cells using RIPA lysis buffer, supplemented with PMSF (both from Beijing Solarbio Science & Technology Co., Ltd., Beijing, China). After centrifuged for 20 min at 4°C with 12,000 × g speed, the concentration of protein was measured by BCA reagent kit (Beijing Solarbio Science & Technology Co., Ltd.). Following electrophoresis using 10% sodium dodecyl sulphate-polyacrylamide gel electrophoresis (SDS-PAGE), the separated proteins were transferred to the polyvinylidene fluoride membrane (PVDF; Millipore). The concentration of the concentrated gel was 5%, and the concentration of the separated gel was 10%. The membrane was incubated with mouse anti-CCNG1 monoclonal antibody (1:1,000; cat. no. WH0000900M1; Sigma-Aldrich; Merck KGaA) at 4°C overnight, with GAPDH mouse antibody (1:3,000; cat. no. TA802519, ZSGB-BIO; OriGene Technologies, Inc., Beijing, China) as internal control. A mouse secondary antibody (1:4,000, cat. no. sc-516142; Santa Cruz Biotechnology, Inc.) containing conjugated horseradish peroxidase was used to incubate the membrane for 1 h at room temperature. The proteins (CCNG1 and GAPDH) were evaluated by ECL western blotting detection system (BestBio, Shanghai, China).

Plasmid construction and luciferase reporter assay

TargetScan (www.targetscan.org) software predicted that CCNG1 was a potential target gene of miR-23b with binding site located at 3′UTR of CCNG1. Therefore, we used double luciferase reporter assay to verify whether miR-23b binds to the 3′UTR of CCNG1 mRNA. First, we constructed the plasmid with CCNG1 3′UTR oligonucleotide fragment inserted in (pcDNA3.1-CCNG1-WT). Then, we mutated miR-23b binding sequences at CCNG1 3′UTR (pcDNA3.1-CCNG1-MUT) from 5′-…AAUGUGA…-3′ to 5′-…UUACACU…-3′. Effectiveness of constructs was verified by sequencing.

miR-23b mimic or NC and pcDNA3.1-CCNG1-WT or MUT were co-transfected into lung cancer A549 and NCI-H460 cells to detect the luciferase reporter activity. Luciferase assay was detected using Dual-Luciferase® Reporter Assay System (Promega Corp., Madison, WI, USA) with Renilla luciferase as normalization. Each experiment was performed in triplicate.

Statistical analysis

Experimental data are presented as mean ± standard deviation (SD). Statistical analyses were performed using the SPSS 19.0 software (IBM Corp., Armonk, NY, USA). The differences between groups were determined using Student's t-test and one-way ANOVA followed by a Tukey's post hoc test. Pearson's χ2 test was used to analyze the relationship between miR-23b expression and the clinicopathological characteristics of lung cancer patients. Pearson's correlation was performed to analyze the correlation between the expression levels of miR-23b and CCNG1. Kaplan-Meier method with log rank test were used to calculate the 5-year overall survival (OS) and disease-free survival (DFS). P<0.05 indicates a statistically significant difference.

Results

miR-23b expression is significantly low and has negative correlation with CCNG1 in lung carcinoma

The expression of miR-23b and CCNG1 was examined by RT-qPCR in cancerous and paracancerous tissues of 57 cases with lung cancer. The results showed that the expression of miR-23b in paracancerous tissues was obviously higher than that in cancerous tissues (P<0.0001) (Fig. 1A). There was no significant difference observed between the four lung carcinoma subtypes. Moreover, we detected the expression of lung cancer A549 and NCI-H460 cells and normal lung MRC-5 cells, and found that the expression of miR-23b was significantly lower in A549 (P=0.0002) and NCI-H460 (P=0.0008) cells compared with MRC-5 cells, which are similar results with those of tissues samples (Fig. 1B).

Contrary to the results of miR-23b, the expression of CCNG1 in lung cancer A549 (P=0.0024) and NCI-H460 cells (P=0.0035) was significantly higher than that in normal lung cancer MRC-5 cells (Fig. 1C). Furthermore, the expression of miR-23b had negative correlation with CCNG1 in lung carcinoma tissues as detected by Pearson's correlation test (P<0.0001, r=−0.7335) (Fig. 1D).

miR-23b inhibits proliferation and invasion of lung carcinoma cells. To study the biological function of miR-23b on proliferation and invasion, we overexpressed or knocked down miR-23b using miR-23b inhibitor or mimic in lung cancer cells A549 (P=0.0056 and 0.0001) and NCI-H460 (P=0.0006 and 0.0002), and the transfection efficiency was detected by RT-qPCR (Fig. 2A and B).

MTT assay was applied to detect the proliferation after spreading cells for 24, 48, 72 and 96 h. As shown in Fig. 2C, when transfected with miR-23b inhibitor in A549 cells, the ability of cell proliferation was increased significantly (P=0.2039, 0.0553, 0.0046 and 0.0002) at 72 and 96 h. On the other hand, cell proliferation ability was reduced when transfected with miR-23b mimic (P=0.5876, 0.0207, 0.0069 and 0.0021). Results were similar in NCI-H460 cells, with P-values 0.0319, 0.0156, 0.0064, 0.0007 and 0.0801, 0.0348, 0.0020 and 0.0006, respectively, when transfected with miR-23b inhibitor or mimic (Fig. 2D).

To further explore the function of miR-23b in lung carcinoma, Transwell assay was performed to detect the invasive ability in altering miR-23b in A549 cells. Similar with proliferation, Transwell assays showed that the invasive ability was significantly increased (P=0.0010) in miR-202 inhibitor-transfected A549 cells, whereas the opposite results were observed (P=0.0051) in miR-23b overexpressed cells (Fig. 2E).

CCNG1 is a target of miR-23b and mediated by miR-23b

TargetScan (http://www.targetscan.org/vert_71/), online software, was utilized to predict potential target genes, and we found that CCNG1 was a potential target gene of miR-23b. The potential binding site of CCNG1 for miR-23b is located at 225–232 bp of its 3′UTR mRNA (Fig. 3A). Luciferase reporter assay was performed in order to test whether miR-23b interacted with CCNG1. Firstly, we co-transfected two plasmid vectors, respectively, containing CCNG1 3′UTR and miR-23b, and then detected the change of luciferase activity. The binding sequences of CCNG1 3′UTR were mutated from 5′-…AAUGUGA…-3′ to 5′-…UUACACU…-3′, and the luciferase activity was measured. We found that when co-transfected with miR-23b and CCNG1 wild-type 3′UTR, the luciferase activity was reduced significantly both in A549 (P<0.0001) and NCI-H460 (P<0.0001) cell lines. In contrast, when co-transfected with miR-23b and CCNG1 mutant type 3′UTR, luciferase activity had almost no change in both A549 (P=0.680) and NCI-H460 (P=0.278) cells (Fig. 3B).

Furthermore, we transfected miR-23b mimic or inhibitor to overexpress or knock down miR-23b, and detected the change of CCNG1. As a result, when overexpressing miR-23b, the expression of CCNG1 was reduced with P-values of A549 and NCI-H460 cells 0.0006 and <0.0001, respectively. On the contrary, in knockdown of miR-23b, CCNG1 expression was increased significantly both in mRNA (P=0.0010 and 0.0004 in A549 and NCI-H460, respectively) and protein levels (Fig. 3C).

Interference of CCNG1 expression inhibits lung cancer cell proliferation. In order to investigate the effect of CCNG1 on cell proliferation, we disrupted the expression of CCNG1 in lung cancer cells A549 and NCI-H460. As Fig. 4A shows, RT-qPCR (P=0.0001 and <0.0001, respectively, for A549 and NCI-H460) and western blotting identified the interference results, respectively. Proliferation ability was detected by MTT assay, and we found that in disrupted CCNG1, the proliferation ability of A549 and NCI-H460 cells was significantly reduced (P=0.4422, 0.0399, 0.0157, 0.0088 and 0.1216, 0.0202, 0.0060, 0.0051, respectively) at 48, 72 and 96 h (Fig. 4B). The results revealed that the interference of CCNG1 expression could inhibit the proliferative ability of lung cancer cells.

Low expression of miR-23b in lung carcinoma predicts poor prognosis

We divided the patients into miR-23b high expression group [miR-23b(+)] and low expression group [miR-23b(−)] according to the expression of miR-23b, with 26 and 31 cases, respectively. The expression of miR-23b had negative correlation with tumor size (P=0.028), TNM stage (P=0.045), lymph node metastasis (P=0.022), Ki-67 (P=0.030) and CCNG1 (P=0.018), as shown in Table I. Kaplan-Meier was utilized to calculate the OS and DFS of patients and we found that both OS and DFS in miR-23b(−) group were significantly lower than miR-23b(+) group (log-rank P=0.0156 and 0.0398), which expounded that lack of miR-23b predicted poor prognosis in lung carcinoma (Fig. 4C).

Discussion

Lung carcinoma is the most common malignancy for men and ranks second for women world-wide. Therefore, it is particularly important to find molecular markers for the diagnosis and prediction of lung carcinoma. miRNAs affect cell progression by targeting the 3′UTR of the mRNA of their target gene (710,30,31). miRNAs usually act as oncogenes or tumor suppressors in lung carcinoma, including miR-23b, miR-221, miR-148b, miR-423 and many other miRNAs (32). miR-23b was reported to suppress cell proliferation, migration and inhibit EMT in ovarian, bladder, hepatocellular, and prostate cancer (1517,19,28). However, the role of miR-23b in lung carcinoma has not been reported. Therefore, the expression of miR-23b was tested in 57 paired lung carcinoma and paracancerous tissues, and we found that miR-23b expression in lung carcinoma tissues was obviously lower than paracancerous tissues, which is consistent with Shao et al (3). Similar with the results obtained in tissues, the expression of miR-23b in lung cancer cells A549 and NCI-H460 was significantly lower than that in normal lung MRC-5 cells.

Since miR-23b was downregulated in lung carcinoma, we attempted to explore the molecular function of miR-23b in lung carcinoma. We transfected miR-23b mimic or inhibitor to overexpress or knockdown miR-23b, and then measured the proliferation ability by MTT assay. Consistent with the results of Majid et al in bladder cancer (17), we found that miR-23b could inhibit lung cancer cell proliferation and invasion. For Transwell assay, since we have verified cell proliferation ability with two cell lines, according to Pan et al (33), we believe that one cell line could fully represent the entire experimental result.

We predicted that CCNG1 is a potential target of miR-23b using TargetScan and it was verified in lung cancer cells A549 and NCI-H460. CCNG1, a member of G-type cyclins, acted as cell cycle regulator and was overexpressed in human tumor cells especially in lung carcinoma. CCNG1 was up-expressed in lung carcinoma and could increase cell sensitivity to radiotherapy to promote cell death (24,34). Luciferase reporter assay was performed to verify miR-23b binding to the 3′UTR of CCNG1, which was consistent with the findings in ovarian cancer. Subsequently, miR-23b expression was exogenously altered and the change of the expression of CCNG1 was detected to determine miR-23b-regulated CCNG1. The expression of CCNG1 was highly expressed in lung carcinoma tissues and cells. miR-23b had negative correlation with CCNG1 in lung carcinoma tissues. Furthermore, CCNG1 was interfered to survey cell proliferation ability, and we found that CCNG1 destroyed the suppressed cell proliferation ability in lung cancer cells.

It has been reported that low expression of miR-23b in prostate cancer suggests poor prognosis (16). In order to explore the impact of miR-23b on the survival of patients with lung cancer, we calculated the OS and DFS of 57 lung cancer patients, and we discovered that miR-23b low expression predicts shorter OS and DFS than high expression. The results expound that miR-23b low expression predicts poor prognosis in lung carcinoma. However, the limitation of the study was that we did not perform the multivariate analysis.

In conclusion, miR-23b expression was low in lung carcinoma tissues and cell lines. miR-23b suppressed lung carcinoma proliferation by targeting CCNG1 and predicted poor prognosis.

Acknowledgements

Not applicable.

Funding

No funding was received.

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

XY contributed significantly to the analysis and manuscript preparation; HH and ZZ contributed significantly in performing the experiments and assisted in writing the manuscript; WY performed the data analyses and wrote the manuscript; CX assisted in performing the analysis with constructive discussions. XC contributed to the conception of the study. All authors read and approved the final study.

Ethics approval and consent to participate

The Ethics Committee of People's Hospital of Yan'an City (Yan'an, China) approved the research, and written informed consent was obtained from all the patients.

Patient consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

References

1 

Siegel RL, Miller KD and Jemal A: Cancer Statistics. CA Cancer J Clin. 68:7–30. 2018. View Article : Google Scholar : PubMed/NCBI

2 

Torre LA, Siegel RL and Jemal A: Lung cancer statistics. Adv Exp Med Biol. 893:1–19. 2016. View Article : Google Scholar : PubMed/NCBI

3 

Shao Y, Liang B, Long F and Jiang SJ: Diagnostic microRNA biomarker discovery for non-small-cell lung cancer adenocarcinoma by integrative bioinformatics analysis. Biomed Res Int. 2017:25630852017. View Article : Google Scholar : PubMed/NCBI

4 

Butler LM, Montague JA, Koh WP, Wang R, Yu MC and Yuan JM: Fried meat intake is a risk factor for lung adenocarcinoma in a prospective cohort of Chinese men and women in Singapore. Carcinogenesis. 34:1794–1799. 2013. View Article : Google Scholar : PubMed/NCBI

5 

Paris C, Clement-Duchene C, Vignaud JM, Gislard A, Stoufflet A, Bertrand O, Thiberville L, Grosdidier G, Martinet Y, Benichou J, et al: Relationships between lung adenocarcinoma and gender, age, smoking and occupational risk factors: A case-case study. Lung Cancer. 68:146–153. 2010. View Article : Google Scholar : PubMed/NCBI

6 

Christodoulatos GS and Dalamaga M: Micro-RNAs as clinical biomarkers and therapeutic targets in breast cancer: Quo vadis? World J Clin Oncol. 5:71–81. 2014. View Article : Google Scholar : PubMed/NCBI

7 

Lu J, Getz G, Miska EA, Alvarez-Saavedra E, Lamb J, Peck D, Sweet-Cordero A, Ebert BL, Mak RH, Ferrando AA, et al: MicroRNA expression profiles classify human cancers. Nature. 435:834–838. 2005. View Article : Google Scholar : PubMed/NCBI

8 

Ambros V: The functions of animal microRNAs. Nature. 431:350–355. 2004. View Article : Google Scholar : PubMed/NCBI

9 

Subtil FS, Wilhelm J, Bill V, Westholt N, Rudolph S, Fischer J, Scheel S, Seay U, Fournier C, Taucher-Scholz G, et al: Carbon ion radiotherapy of human lung cancer attenuates HIF-1 signaling and acts with considerably enhanced therapeutic efficiency. FASEB J. 28:1412–1421. 2014. View Article : Google Scholar : PubMed/NCBI

10 

Flynt AS and Lai EC: Biological principles of microRNA-mediated regulation: Shared themes amid diversity. Nat Rev Genet. 9:831–842. 2008. View Article : Google Scholar : PubMed/NCBI

11 

Lauressergues D, Couzigou JM, Clemente HS, Martinez Y, Dunand C, Bécard G and Combier JP: Primary transcripts of microRNAs encode regulatory peptides. Nature. 520:90–93. 2015. View Article : Google Scholar : PubMed/NCBI

12 

Voinnet O: Origin, biogenesis, and activity of plant microRNAs. Cell. 136:669–687. 2009. View Article : Google Scholar : PubMed/NCBI

13 

Di Giacomo G, Koss M, Capellini TD, Brendolan A, Pöpperl H and Selleri L: Spatio-temporal expression of Pbx3 during mouse organogenesis. Gene Expr Patterns. 6:747–757. 2006. View Article : Google Scholar : PubMed/NCBI

14 

Lichtenauer UD, Duchniewicz M, Kolanczyk M, Hoeflich A, Hahner S, Else T, Bicknell AB, Zemojtel T, Stallings NR, Schulte DM, et al: Pre-B-cell transcription factor 1 and steroidogenic factor 1 synergistically regulate adrenocortical growth and steroidogenesis. Endocrinology. 148:693–704. 2007. View Article : Google Scholar : PubMed/NCBI

15 

Salvi A, Sabelli C, Moncini S, Venturin M, Arici B, Riva P, Portolani N, Giulini SM, De Petro G and Barlati S: MicroRNA-23b mediates urokinase and c-met downmodulation and a decreased migration of human hepatocellular carcinoma cells. FEBS J. 276:2966–2982. 2009. View Article : Google Scholar : PubMed/NCBI

16 

Majid S, Dar AA, Saini S, Arora S, Shahryari V, Zaman MS, Chang I, Yamamura S, Tanaka Y, Deng G, et al: miR-23b represses proto-oncogene Src kinase and functions as methylation-silenced tumor suppressor with diagnostic and prognostic significance in prostate cancer. Cancer Res. 72:6435–6446. 2012. View Article : Google Scholar : PubMed/NCBI

17 

Majid S, Dar AA, Saini S, Deng G, Chang I, Greene K, Tanaka Y, Dahiya R and Yamamura S: MicroRNA-23b functions as a tumor suppressor by regulating Zeb1 in bladder cancer. PLoS One. 8:e676862013. View Article : Google Scholar : PubMed/NCBI

18 

Li W, Liu Z, Chen L, Zhou L and Yao Y: MicroRNA-23b is an independent prognostic marker and suppresses ovarian cancer progression by targeting runt-related transcription factor-2. FEBS Lett. 588:1608–1615. 2014. View Article : Google Scholar : PubMed/NCBI

19 

Cao J, Liu J, Long J, Fu J, Huang L, Li J, Liu C, Zhang X and Yan Y: microRNA-23b suppresses epithelial-mesenchymal transition (EMT) and metastasis in hepatocellular carcinoma via targeting Pyk2. Biomed Pharmacother. 89:642–650. 2017. View Article : Google Scholar : PubMed/NCBI

20 

Zhang Y, Han JJ, Liang XY, Zhao L, Zhang F, Rasouli J, Wang ZZ, Zhang GX and Li X: miR-23b suppresses leukocyte migration and pathogenesis of experimental autoimmune encephalomyelitis by targeting CCL7. Mol Ther. 26:582–592. 2018. View Article : Google Scholar : PubMed/NCBI

21 

Horne MC, Goolsby GL, Donaldson KL, Tran D, Neubauer M and Wahl AF: Cyclin G1 and cyclin G2 comprise a new family of cyclins with contrasting tissue-specific and cell cycle-regulated expression. J Biol Chem. 1271:6050–6061. 1996. View Article : Google Scholar

22 

Ye XX, Liu CB, Chen JY, Tao BH and Zhi-Yi C: The expression of cyclin G in nasopharyngeal carcinoma and its significance. Clin Exp Med. 12:21–24. 2012. View Article : Google Scholar : PubMed/NCBI

23 

Liang J, Bian ML, Chen QY, Liu X, Ou H, Li M and Liu J: Relationship between cyclin G1 and human papilloma virus infection in cervical intraepithelial neoplasia and cervical carcinoma. Chin Med Sci J. 21:81–85. 2006.PubMed/NCBI

24 

Wen W, Han T, Chen C, Huang L, Sun W, Wang X, Chen SZ, Xiang DM, Tang L, Cao D, et al: Cyclin G1 expands liver tumor-initiating cells by Sox2 induction via Akt/mTOR signaling. Mol Cancer Ther. 12:1796–1804. 2013. View Article : Google Scholar : PubMed/NCBI

25 

Reimer CL, Borras AM, Kurdistani SK, Garreau JR, Chung M, Aaronson SA and Lee SW: Altered regulation of cyclin G in human breast cancer and its specific localization at replication foci in response to DNA damage in p53+/+ cells. J Biol Chem. 274:11022–11029. 1999. View Article : Google Scholar : PubMed/NCBI

26 

Zhao X, Liu M and Li D: Oleanolic acid suppresses the proliferation of lung carcinoma cells by miR-122/Cyclin G1/MEF2D axis. Mol Cell Biochem. 400:1–7. 2015. View Article : Google Scholar : PubMed/NCBI

27 

Liu X, Ma L, Rao Q, Mao Y, Xin Y, Xu H, Li C and Wang X: MiR-1271 inhibits ovarian cancer growth by targeting cyclin G1. Med Sci Monit. 21:3152–3158. 2015. View Article : Google Scholar : PubMed/NCBI

28 

Yan J, Jiang JY, Meng XN, Xiu YL and Zong ZH: miR-23b targets cyclin G1 and suppresses ovarian cancer tumorigenesis and progression. J Exp Clin Cancer Res. 35:312016. View Article : Google Scholar : PubMed/NCBI

29 

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. View Article : Google Scholar : PubMed/NCBI

30 

Iorio MV and Croce CM: MicroRNAs in cancer: Small molecules with a huge impact. J Clin Oncol. 27:5848–5856. 2009. View Article : Google Scholar : PubMed/NCBI

31 

Jiang C, Chen X, Alattar M, Wei J and Liu H: MicroRNAs in tumorigenesis, metastasis, diagnosis and prognosis of gastric cancer. Cancer Gene Ther. 22:291–301. 2015. View Article : Google Scholar : PubMed/NCBI

32 

Zhu Y, Li T, Chen G, Yan G, Zhang X, Wan Y, Li Q, Zhu B and Zhuo W: Identification of a serum microRNA expression signature for detection of lung cancer, involving miR-23b, miR-221, miR-148b and miR-423-3p. Lung Cancer. 114:6–11. 2017. View Article : Google Scholar : PubMed/NCBI

33 

Pan Y, Ye C, Tian Q, Yan S, Zeng X, Xiao C, Wang L and Wang H: miR-145 suppresses the proliferation, invasion and migration of NSCLC cells by regulating the BAX/BCL-2 ratio and the caspase-3 cascade. Oncol Lett. 15:4337–4343. 2018.PubMed/NCBI

34 

Seo HR, Lee DH, Lee HJ, Baek M, Bae S, Soh JW, Lee SJ, Kim J and Lee YS: Cyclin G1 overcomes radiation-induced G2 arrest and increases cell death through transcriptional activation of cyclin B1. Cell Death Differ. 13:1475–1484. 2006. View Article : Google Scholar : PubMed/NCBI

Related Articles

Journal Cover

October-2018
Volume 16 Issue 4

Print ISSN: 1792-1074
Online ISSN:1792-1082

Sign up for eToc alerts

Recommend to Library

Copy and paste a formatted citation
x
Spandidos Publications style
Han H, Zhang Z, Yang X, Yang W, Xue C and Cao X: miR‑23b suppresses lung carcinoma cell proliferation through CCNG1 Corrigendum in /10.3892/ol.2018.9790. Oncol Lett 16: 4317-4324, 2018
APA
Han, H., Zhang, Z., Yang, X., Yang, W., Xue, C., & Cao, X. (2018). miR‑23b suppresses lung carcinoma cell proliferation through CCNG1 Corrigendum in /10.3892/ol.2018.9790. Oncology Letters, 16, 4317-4324. https://doi.org/10.3892/ol.2018.9181
MLA
Han, H., Zhang, Z., Yang, X., Yang, W., Xue, C., Cao, X."miR‑23b suppresses lung carcinoma cell proliferation through CCNG1 Corrigendum in /10.3892/ol.2018.9790". Oncology Letters 16.4 (2018): 4317-4324.
Chicago
Han, H., Zhang, Z., Yang, X., Yang, W., Xue, C., Cao, X."miR‑23b suppresses lung carcinoma cell proliferation through CCNG1 Corrigendum in /10.3892/ol.2018.9790". Oncology Letters 16, no. 4 (2018): 4317-4324. https://doi.org/10.3892/ol.2018.9181