MicroRNA‑361‑5p induces hepatocellular carcinoma cell apoptosis and enhances drug sensitivity by targeting MAP3K9
- Authors:
- Published online on: March 31, 2021 https://doi.org/10.3892/etm.2021.10006
- Article Number: 574
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Copyright: © Ren et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
Abstract
Introduction
Hepatocellular carcinoma (HCC), one of the most common malignant tumor types in China originates from hepatocytes or hepatic progenitor cells. There are obvious regional differences in the distribution of HCC (1,2). The main characteristics of advanced liver cancer include liver pain, keratitis, jaundice and ascites (3). Recent data indicate that the cases of liver cancer have increased to one million annually, of whom 700,000 patients will eventually succumb to the disease (4,5). Previously, the highest incidence of liver cancer was observed in the age group of 45-65 years; however, the incidence of liver cancer is exhibiting an increasing trend among younger individuals (6). At present, there are several clinical treatment options for liver cancer, including tumor resection, chemotherapy and radiotherapy (7). However, the 5-year survival rate for patients with liver cancer is not satisfactory and a number of patients exhibit drug resistance (8). Cisplatin (DDP) is a common chemotherapeutic drug that can be used to treat a variety of cancer types (9,10). However, DDP-based chemotherapy is usually limited by intrinsic and acquired resistance, which leads to chemotherapy failure. Therefore, it is imperative to identify new targets in order to improve the prognosis for patients with HCC (11,12).
MicroRNAs (miRNAs/miRs) are a group of RNAs that are endogenous, non-protein coding, single-stranded small molecules, which are 18-24 nucleotides in length and regulate downstream gene expression at the post-transcriptional level (13-15). miRNAs participate in a number of biological processes and changes in the expression and function of miRNAs are implicated in several diseases (16). Accumulating evidence has demonstrated that multiple abnormally expressed miRNAs are associated with the development of HCC, including miR-3174, miR-383, miR-361-5p and miR-330-5p (17-21). Wang et al (18) demonstrated that miR-383 suppresses cell proliferation and induces apoptosis. A previous study has demonstrated that miR-3174 is highly expressed in HCC (17). miR-361-5p has been reported to be downregulated in HCC (20) and Sun et al (19) reported that miR-361-5p inhibits HCC cell growth. However, the function of miR-361-5p in the chemoresistance of HCC and the potential molecular mechanism of action remain unknown. In the present study, DDP-resistant HCC cells were used to study the function and potential mechanism of action of miR-361-5p.
MAPK kinase kinase 9 (MAP3K9) is an upstream activator of the MAPK kinase/JNK signaling pathway, which plays critical roles in the regulation of cell apoptosis (22). The MAPK family consists of three subgroups: ERK1/2, stress-activated protein kinase/JNK and p38 MAPK (23). Furthermore, Nie et al (24) demonstrated that MAP3K9 is a target gene of miR-148b and Zhao et al (25) indicated that there is an interaction site between MAP3K9 and miR-1247. In the present study, bioinformatics software analysis was used to determine whether miR-361-5p and MAP3K9 have direct binding sites, as well as to elucidate whether miR-361-5p regulates cell apoptosis in HCC by mediating changes in MAP3K9 expression.
Materials and methods
Cell line acquirement and culture
Human normal hepatocytes (THLE-2) and the human HCC cell line Huh7 were obtained from American Tissue Culture Collection. THLE-2 and Huh7 cells were cultured in DMEM (Corning, Inc.) supplemented with 10% FBS (Gibco; Thermo Fisher Scientific, Inc.) and incubated at 37˚C in a 5% CO2 incubator. A DDP-resistant cell line, Huh7/DDP, was established by exposing parental Huh7cells to increasing concentrations of DDP for 1 year, as previously described (26). Huh7 or Huh7/DDP cells were transfected with 100 nM mimic control (5'-UUCUCCGAACGUGUCACGUTT-3'; Shanghai GenePharma Co., Ltd.), 100 nM miR-361-5p mimic (5'-ACGCCUGGAGAUUCUGAUAAUU-3'; Shanghai GenePharma Co., Ltd.), 1 µg control-plasmid (cat. no. sc-437275; Santa Cruz Biotechnology, Inc.), 1 µg MAP3K9-plasmid (cat. no. sc-410886-ACT; Santa Cruz Biotechnology, Inc.), 100 nM miR-361-5p mimic + 1 µg control-plasmid or 100 nM miR-361-5p mimic + 1 µg MAP3K9-plasmid at 37˚C for 48 h using Polyplus transfection reagent (Invitrogen; Thermo Fisher Scientific, Inc.) according to the manufacturer's instructions. 48 h after the transfection procedure was completed, subsequent experiments were performed.
Reverse transcription-quantitative PCR (RT-qPCR) assay
Total RNA was extracted from cells using TRIzol® reagent (Takara Bio, Inc.) according to the manufacturer's instructions. The RNA purity was confirmed based on A260/A280 using NanoDrop 2000 (Thermo Fisher Scientific, Inc.) in accordance with the manufacturer's instructions. When RNA extraction was completed, RNA was reverse-transcribed into complementary DNA (cDNA) using a Reverse Transcription kit (Vazyme Biotech Co., Ltd.) following the manufacturer's protocol. Subsequently, cDNA was used for amplification. qPCR was performed using a SYBR Green PCR kit (Vazyme Biotech Co., Ltd.). Thermocycling conditions used for qPCR were as follows: Initial denaturation at 95˚C for 10 min, followed by 37 cycles of denaturation at 95˚C for 15 sec, annealing at 55˚C for 40 sec and extension at 72˚C for 34 sec. GAPDH (for mRNA) or U6 (for miRNA) were used as endogenous controls. Primer sequences used for qPCR were as follows: GAPDH forward, 5'-TTTGGTATCGTGGAAGGACTC-3' and reverse, 5'-GTAGAGGCAGGGATGATGTTCT-3'; U6 forward, 5'-CTCGCTTCGGCAGCAGCACATATA-3' and reverse, 5'-AAATATGGAACGCTTCACGA-3'; miR-361-5p forward, 5'-ATAAAGTGCTGACAGTGCAGATAGTG-3' and reverse, 5'-TCAAGTACCCACAGTGCGGT-3'; MAP3K9 forward, 5'-GAGTGCGGCAGGGACGTAT-3' and reverse, 5'-CCCCATAGCTCCACACATCAC-3'. The 2-ΔΔCq method (27) was used to quantify relative gene expression. All samples required three replicates.
Western blot assay
The cells were lysed and total protein was obtained using RIPA lysis buffer (Beyotime Institute of Biotechnology). A BCA assay kit (Pierce; Thermo Fisher Scientific, Inc.) was used to quantify the total protein. Equal amount of proteins (40 µg per lane) were separated by 15% SDS-PAGE for 40 min and then transferred to PVDF membranes (EMD Millipore). The membranes were blocked at room temperature for 1.5 h with 5% non-fat milk and incubated with primary antibodies, namely, anti-MAP3K9 (cat. no. ab228752; 1:1,000, Abcam), anti-cleaved caspase-3 (cat. no. ab32042; 1:1,000, Abcam) or anti-caspase-3 (cat. no. ab32351; 1:1,000, Abcam) at 4˚C overnight. On the following day, the membranes were incubated with the horseradish peroxidase-conjugated secondary antibodies (cat. no. 7074; 1:2,000; Cell Signaling Technology, Inc.) for 2 h at room temperature. The protein bands were visualized using the enhanced chemiluminescence method (Cytiva). GAPDH (cat. no. 9485; 1:1,000, Abcam) served as the loading control for normalization. Band densities were quantified using the Gel-Pro Analyzer densitometry software (version 6.3; Media Cybernetics, Inc.).
Flow cytometry (FCM) assay
Cell apoptosis was assessed using an Annexin-V/PI Apoptosis Detection kit (Beyotime Institute of Biotechnology). Briefly, cells (5x104 cells per well) were plated in 6-well plates overnight. On the following day, cells were transfected with the plasmids or mimics as aforementioned. Subsequently, the cells were collected, centrifuged with low temperature at high speed (1,000 x g at 4˚C for 5 min) and resuspended in 100 µl of FITC-binding buffer (Beyotime Institute of Biotechnology). Subsequently, ~5 µl ready-to-use Annexin V-FITC (BD Bioscience) and 5 µl PI were added into the buffer. The cells were incubated for 30 min at room temperature in the dark. Annexin V-FITC and PI fluorescence were assessed using a BD FACSCalibur flow cytometer (BD Biosciences). CellQuest software (version 5.1; BD Biosciences) was used to analyze flow cytometry data.
Dual-luciferase reporter assay
Bioinformatics software analysis (TargetScan version 7.2; http://www.targetscan.org/vert_72/) was used to predict the potential targets of miR-361-5p. The results revealed the potential binding sites between miR-361-5p and MAP3K9. To confirm this, the wild-type (wt) or mutant (mut) 3'untranslated region (UTR) of MAP3K9 was cloned into the pmiRGLO vector (Promega Corporation). The recombinant plasmids were acquired using EndoFree Plasmid Maxi kit (Vazyme Biotech Co., Ltd.). Huh7 cells seeded (5x104 cells per well) in 24-well plates were co-transfected with miR-361-5p mimics or negative control and the mut or wt 3'-UTR of MAP3K9, together with the Renilla luciferase pRL-TK vector as a control. After transfection at 37˚C for 48 h, firefly and Renilla luciferase activity was measured using a dual-luciferase reporter assay kit (Promega Corporation). Firefly luciferase activity was normalized to Renilla luciferase activity.
DDP sensitivity assay
Different concentrations of DDP (0.5, 1, 2, 4, 8, 16, 32 and 64 µg/ml) were used to treat Huh7 and Huh7/DDP cells (5x104 cell per well) at 37˚C for 48 h. Cell viability was then measured using MTT assays and 150 µl DMSO was used to dissolve the resultant purple formazan. The IC50 value of DDP was calculated from these data. After the cells were processed according to manufacturer's instructions, 20 µl MTT (5 mg/ml; Sigma-Aldrich; Merck KGaA) was added into each well and the wells were further cultured for 4 h. The absorbance was then measured at 570 nm. The data were analyzed and presented as the mean ± SD of three independent experiments.
Statistical analysis
Statistical analyses were performed using GraphPad Prism 6.0 (GraphPad Software, Inc.). The statistical significance of the differences between groups was determined using unpaired Student's t-test or one-way ANOVAs followed by Tukey's post hoc tests. Data are expressed as the mean ± SD from at least three independent experiments. P<0.05 was considered to indicate statistically significant differences.
Results
Target association between miR-361-5p and MAP3K9
The present study found that miR-361-5p has hundreds of target genes, which includes MAP3K9 (Fig. 1A). As MAP3K9 is an activator upstream of the MAPK kinase/JNK signaling pathway, which plays critical roles in cell apoptosis regulation (22), and the role of MAP3K9 in HCC remain largely unclear, MAP3K9 was chosen for further investigation. The association between miR-361-5p and MAP3K9 was confirmed using dual-luciferase reporter assays. The 3'-UTR (either wt or mut) of MAP3K9 was inserted into a pmiR luciferase reporter and Huh7 cells were co-transfected with miR-361-5p mimic or mimic control and MAP3K9-wt or MAP3K9-mut. The results indicated that miR-361-5p mimic co-transfection with wt MAP3K9 3'-UTR reporter inhibited luciferase activity, but miR-361-5p mimic did not exert any effect on the reporter containing the mut MAP3K9 3'-UTR (Fig. 1B). These findings confirmed MAP3K9 as a target gene of miR-361-5p. Subsequently, Huh7 cells were transfected with mimic control, miR-361-5p mimic, control-plasmid, MAP3K9-plasmid, miR-361-5p mimic + control-plasmid or miR-361-5p mimic + MAP3K9-plasmid for 48 h and RT-qPCR was performed to detect the transfection efficiency. In comparison with the mimic control group, miR-361-5p increased miR-361-5p expression (Fig. 1C); and compared with the control-plasmid group, MAP3K9-plasmid increased MAP3K9 expression at the mRNA level (Fig. 1D). Furthermore, miR-361-5p markedly decreased MAP3K9 protein expression and significantly decreased MAP3K9 mRNA levels in Huh7 cells, with this reduction being reversed by the MAP3K9-plasmid (Fig. 1E and F). Therefore, MAP3K9 expression was negatively regulated by miR-361-5p in Huh7 cells.
Expression levels of miR-361-5p and MAP3K9 in HCC cells
Subsequently, the expression levels of miR-361-5p and MAP3K9 in normal human hepatocytes (THLE-2) and Huh7 HCC cells was examined. RT-qPCR indicated that compared with the THLE-2 cells, the miR-361-5p expression levels were lower in Huh7 cells (Fig. 2A), while the MAP3K9 expression levels were markedly higher (Fig. 2B and C).
Effects of miR-361-5p on the viability and apoptosis of HCC cells
The effect of miR-361-5p and MAP3K9 on the viability and apoptosis of Huh7 cells was next investigated. Huh7 cells were transfected with mimic control, miR-361-5p mimic, miR-361-5p mimic + control-plasmid or miR-361-5p mimic + MAP3K9-plasmid and a series of experiments were performed after 48 h. MTT assays demonstrated that compared with the mimic control group, miR-361-5p reduced Huh7 cell viability (Fig. 3A). FCM assay indicated that miR-361-5p promoted Huh7 cell apoptosis (Fig. 3B and C). In addition, western blotting demonstrated that miR-361-5p increased cleaved caspase-3 expression (Fig. 3D) and increased the ratio of cleaved caspase-3/caspase-3 (Fig. 3E). All these effects were notably reversed by co-transfection with the MAP3K9-plasmid.
Expression levels of miR-361-5p in Huh7/DDP cells
DDP is currently the most widely used antitumor drug in clinical practice; however, due to cancer cell resistance to DDP, novel treatment options for HCC are needed. In the present study, the DDP-resistant cell line Huh7/DDP was established by exposing parental Huh7 cells to increasing concentrations of DDP for 12 months. Subsequently, after treating Huh7 and Huh7/DDP cells with various concentrations of DDP (0.5, 1, 2, 4, 8, 16, 32 and 64 mg/ml) for 48 h, the viability of Huh7/DDP cells was found to be higher compared with that of Huh7 cells at 4, 8, 16, 32 mg/ml DDP treatment (Fig. 4A). The IC50 value of DDP on Huh7/DDP cells was higher compared with that of Huh7 cells (Fig. 4B). Subsequently, RT-qPCR demonstrated that the expression levels of miR-361-5p in Huh7/DDP cells was lower compared with that in the Huh7 cells (Fig. 4C). Moreover, it was found that the protein expression levels of MAP3K9 were increased in Huh7/DDP cells compared with the Huh7 cells (Fig. 4D). RT-qPCR also demonstrated that the mRNA expression levels of MAP3K9 in Huh7/DDP cells was significantly higher compared with that in the Huh7 cells (Fig. 4E)
MAP3K9 is negatively regulated by miR-361-5p in Huh7/DDP cells
Huh7/DDP cells were next transfected with mimic control, miR-361-5p mimic, control-plasmid, MAP3K9-plasmid, miR-361-5p mimic + control-plasmid or miR-361-5p mimic + MAP3K9-plasmid for 48 h. The transfection efficiency of MAP3K9 and miR-361-5p was detected after 48 h. In comparison with the mimic control group, miR-361-5p increased miR-361-5p expression levels in Huh7/DDP cells (Fig. 5A). In comparison with the control-plasmid group, MAP3K9-plasmid transfection increased MAP3K9 mRNA expression levels in Huh7/DDP cells (Fig. 5B). In comparison with the mimic control group, miR-361-5p significantly reduced MAP3K9 mRNA expression levels and notably reduced the protein expression levels in Huh7/DDP cells. This reduction was reversed following transfection with the MAP3K9-plasmid (Fig. 5C and D).
Effect of miR-361-5p on the sensitivity of Huh7/DDP cells
Finally, the effects of MAP3K9 and miR-361-5p on the viability of Huh7/DDP cells was examined. The MTT assay indicated that miR-361-5p mimic significantly decreased Huh7/DDP cell viability and reduced the IC50 value of DDP on Huh7/DDP cells, whereas these effects were reversed by the MAP3K9-plasmid (Fig. 6A and B). Compared with the mimic control group, miR-361-5p mimic increased apoptosis of Huh7/DDP cells (Fig. 6C and D); moreover, miR-361-5p mimic increased cleaved caspase-3 protein expression levels and the cleaved caspase-3/caspase-3 ratio in Huh7/DDP cells. However, all these effects were reversed by transfection with the MAP3K9-plasmid.
Discussion
The development of HCC represents a major health concern worldwide (2). Despite advances in medical techniques in recent years, the mortality rate of HCC remains high due to the difficulty of early diagnosis, relative lack of therapeutic targets and poor postoperative recovery (7,8). Following surgical resection, the number of patients with HCC who survive for 1 year has been reported to be >80%, but the 5-year survival rate decreases to >50% (28). Therefore, there is a continued need to identify novel targets for the treatment of patients with HCC. Previous studies have demonstrated that miR-361-5p expression is downregulated in HCC cells (19,29). The present study also demonstrated that miR-361-5p was downregulated in Huh7 cells. Additionally, Zhang et al (30) reported that miR-361-5p expression is decreased in lung cancer, whereas Li et al (31) demonstrated that the expression miR-361-5p was low in papillary thyroid carcinoma.
The present study demonstrated that there was an interaction site between miR-361-5p and MAP3K9. RT-qPCR revealed that was a negative association between MAP3K9 expression and miR-361-5p expression in Huh7 cells. MAP3K9 is a member of a mixed-lineage family of kinases, consisting of the SH3 domain, the Ser/Thr kinase domain and the Cdc42/Rac interaction binding domain (32,33). Moreover, this kinase has also been found to be an upstream activator of the JNK and ERK signaling pathways (34). A number of studies have demonstrated that MAP3K9 is a target of several miRNAs, including miR-574-5p (35), miR-490-5p (36) and miR-15a (37). However, the role of MAP3K9 in HCC remains unclear. The results of the present study indicated that MAP3K9 was able to significantly reverse miR-361-5p-induced apoptosis of HCC cells.
HCC cells commonly become resistant to DDP, resulting in chemotherapy failure (38). The present data and those of previous reports demonstrated that miR-361-5p significantly inhibited the proliferation and induced apoptosis of HCC cells (19,20). However, only the ratio of cleaved caspase-3 and caspase-3 (apoptosis-related proteins) were used to measure cell apoptosis in the present study. To make the results more convincing, changes in expression levels of apoptosis-related proteins Bax and Bcl-2 should also be investigated, which was a limitation of the present study. To the best of our knowledge, prior to the present study, the exact role of miR-361-5p in HCC chemoresistance remained elusive. Therefore, the present study used DDP-resistant HCC cells to study the function and potential mechanism of action of miR-361-5p. Huh7/DDP and Huh7 cells were then treated with various concentrations of DDP and the IC50 value of Huh7/DDP cells was found to be higher compared with that of Huh7 cells. In addition, the expression levels of miR-361-5p were lower in Huh7/DDP cells compared with that in Huh7 cells. Finally, MAP3K9 significantly reversed the miR-361-5p-induced increased sensitivity of Huh7/DDP cells to DDP.
It should be noted; however, that the present study was only a preliminary in vitro investigation into the role of miR-361-5p in HCC chemotherapy resistance. To identify the role of miR-361-5p/MAP3K9 in HCC chemotherapy resistance, further studies are required. For example, the role of miR-361-5p/MAP3K9 on the Huh7 and Huh7/DDP cell migratory, invasive and clone formation abilities should be explored using wound healing, Transwell and clone formation assays. Furthermore, the effect of miR-361-5p on HCC chemotherapy resistance should be investigated in vivo. Moreover, the expression of miR-361-5p and MAP3K9 in HCC cancer tissues need to be explored.
In conclusion, the findings of the present study demonstrated that miR-361-5p induces HCC cell apoptosis and enhances drug sensitivity by targeting MAP3K9.
Acknowledgements
Not applicable.
Funding
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
QR and XX contributed to study design, data collection, statistical analysis, data interpretation and manuscript preparation. XL, QZ, XZ and ZR contributed to data collection and data interpretation. HX contributed to data collection, statistical analysis and manuscript preparation. QR and XX confirm the authenticity of all the raw data. All authors read and approved the final manuscript.
Ethics approval and consent to participate
Not applicable.
Patient consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
References
Clark T, Maximin S, Meier J, Pokharel S and Bhargava P: Hepatocellular carcinoma: Review of epidemiology, screening, imaging diagnosis, response assessment, and treatment. Curr Probl Diagn Radiol. 44:479–486. 2015.PubMed/NCBI View Article : Google Scholar | |
Wallace MC, Preen D, Jeffrey GP and Adams LA: The evolving epidemiology of hepatocellular carcinoma: A global perspective. Expert Rev Gastroenterol Hepatol. 9:765–779. 2015.PubMed/NCBI View Article : Google Scholar | |
Oliveri RS, Wetterslev J and Gluud C: Hepatocellular carcinoma. Lancet. 380:470–471. 2012.PubMed/NCBI View Article : Google Scholar | |
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 | |
Siegel RL, Miller KD and Jemal A: Cancer statistics, 2019. CA Cancer J Clin. 69:7–34. 2019.PubMed/NCBI View Article : Google Scholar | |
Farazi PA and DePinhO RA: Hepatocellular carcinoma pathogenesis: From genes to environment. Nat Rev Cancer. 6:674–687. 2006.PubMed/NCBI View Article : Google Scholar | |
Hartke J, Johnson M and Ghabril M: The diagnosis and treatment of hepatocellular carcinoma. Semin Diagn Pathol. 34:153–159. 2017.PubMed/NCBI View Article : Google Scholar | |
Sinn DH, Choi GS, Park HC, Kim JM, Kim H, Song KD, Kang TW, Lee MW, Rhim H, Hyun D, et al: Multidisciplinary approach is associated with improved survival of hepatocellular carcinoma patients. PLoS One. 14(e0210730)2019.PubMed/NCBI View Article : Google Scholar | |
Giaccone G: Clinical perspectives on platinum resistance. Drugs. 59 (Suppl 4):S9–S17; discussion 37-8. 2000.PubMed/NCBI View Article : Google Scholar | |
Galanski M: Recent developments in the field of anticancer platinum complexes. Recent Pat Anticancer Drug Discov. 1:285–295. 2006.PubMed/NCBI View Article : Google Scholar | |
Koberle B, Tomicic MT, Usanova S and Kaina B: Cisplatin resistance: Preclinical findings and clinical implications. Biochim Biophys Acta. 1806:172–182. 2010.PubMed/NCBI View Article : Google Scholar | |
Johnsson P, Lipovich L, Grander D and Morris KV: Evolutionary conservation of long non-coding RNAs; sequence, structure, function. Biochim Biophys Acta. 1840:1063–1071. 2014.PubMed/NCBI View Article : Google Scholar | |
Bartel DP: MicroRNAs: Genomics, biogenesis, mechanism, and function. Cell. 116:281–297. 2004.PubMed/NCBI View Article : Google Scholar | |
Mo YY: MicroRNA regulatory networks and human disease. Cell Mol Life Sci. 69:3529–3531. 2012.PubMed/NCBI View Article : Google Scholar | |
Laffont B and Rayner KJ: MicroRNAs in the pathobiology and therapy of atherosclerosis. Can J Cardiol. 33:313–324. 2017.PubMed/NCBI View Article : Google Scholar | |
Ambros V: The functions of animal microRNAs. Nature. 431:350–355. 2004.PubMed/NCBI View Article : Google Scholar | |
Wang Q, Yang X, Zhou X, Wu B, Zhu D, Jia W, Chu J, Wang J, Wu J and Kong L: miR-3174 promotes proliferation and inhibits apoptosis by targeting FOXO1 in hepatocellular carcinoma. Biochem Biophys Res Commun. 526:889–897. 2020.PubMed/NCBI View Article : Google Scholar | |
Wang J, Lu L, Luo Z, Li W, Lu Y, Tang Q and Pu J: miR-383 inhibits cell growth and promotes cell apoptosis in hepatocellular carcinoma by targeting IL-17 via STAT3 signaling pathway. Biomed Pharmacother. 120(109551)2019.PubMed/NCBI View Article : Google Scholar | |
Sun JJ, Chen GY and Xie ZT: MicroRNA-361-5p inhibits cancer cell growth by targeting CXCR6 in hepatocellular carcinoma. Cell Physiol Biochem. 38:777–785. 2016.PubMed/NCBI View Article : Google Scholar | |
Cui W, Li Y, Xu K, Chen G, Lu X, Duan Q and Kang Z: miR-361-5p inhibits hepatocellular carcinoma cell proliferation and invasion by targeting VEGFA. Biochem Biophys Res Commun. 479:901–906. 2016.PubMed/NCBI View Article : Google Scholar | |
Gong D, Feng PC, Ke XF, Kuang HL, Pan LL, Ye Q and Wu JB: Silencing long non-coding RNA LINC01224 inhibits hepatocellular carcinoma progression via microRNA-330-5p-induced inhibition of CHEK1. Mol Ther Nucleic Acids. 19:482–497. 2020.PubMed/NCBI View Article : Google Scholar | |
Fawdar S, Trotter EW, Li Y, Stephenson NL, Hanke F, Marusiak AA, Edwards ZC, Ientile S, Waszkowycz B, Miller CJ and Brognard J: Targeted genetic dependency screen facilitates identification of actionable mutations in FGFR4, MAP3K9, and PAK5 in lung cancer. Proc Natl Acad Sci USA. 110:12426–12431. 2013.PubMed/NCBI View Article : Google Scholar | |
Munshi A and Ramesh R: Mitogen-activated protein kinases and their role in radiation response. Genes Cancer. 4:401–408. 2013.PubMed/NCBI View Article : Google Scholar | |
Nie F, Liu TM, Zhong L, Yang X, Liu Y, Xia H, Liu X, Wang X, Liu Z, Zhou L, et al: MicroRNA-148b enhances proliferation and apoptosis in human renal cancer cells via directly targeting MAP3K9. Mol Med Rep. 13:83–90. 2016.PubMed/NCBI View Article : Google Scholar | |
Zhao F, LV J, Gan H, Li Y, Wang R, Zhang H, Wu Q and Chen Y: miRNA profle of osteosarcoma with CD117 and stro-1 expression: miR-1247 functions as an onco-miRNA by targeting MAP3K9. Int J Clin Exp Pathol. 8:1451–1458. 2015.PubMed/NCBI | |
Liu Z, Dang C, Xing E, Zhao M, Shi L and Sun J: Overexpression of CASC2 improves cisplatin sensitivity in hepatocellular carcinoma through sponging miR-222. DNA Cell Biol. 38:1366–1373. 2019.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 | |
Margarit C, Escartín A, Castells L, Vargas V, Allende E and Bilbao I: Resection for hepatocellular carcinoma is a good option in Child-Turcotte-Pugh class A patients with cirrhosis who are eligible for liver transplantation. Liver Transpl. 11:1242–1251. 2005.PubMed/NCBI View Article : Google Scholar | |
Cheng Y, Qiu L, He GL, Cai L, Peng BJ, Cao YL and Pan MX: MicroRNA-361-5p suppresses the tumorigenesis of hepatocellular carcinoma through targeting WT1 and suppressing WNT/β-cadherin pathway. Eur Rev Med Pharmacol Sci. 23:8823–8832. 2019.PubMed/NCBI View Article : Google Scholar | |
Zhang S, Liu Z, Wu L and Wang Y: miR-361 targets Yes-associated protein (YAP) mRNA to suppress cell proliferation in lung cancer. Biochem Biophys Res Commun. 492:468–473. 2017.PubMed/NCBI View Article : Google Scholar | |
Li R, Dong B, Wang Z, Jiang T and Chen G: MicroRNA-361-5p inhibits papillary thyroid carcinoma progression by targeting ROCK1. Biomed Pharmacother. 102:988–995. 2018.PubMed/NCBI View Article : Google Scholar | |
Slattery ML, Lundgreen A and Wolff RK: MAP kinase genes and colon and rectal cancer. Carcinogenesis. 33:2398–2408. 2012.PubMed/NCBI View Article : Google Scholar | |
Stark MS, Woods SL, Gartside MG, Bonazzi VF, Dutton-Regester K, Aoude LG, Chow D, Sereduk C, Niemi NM, Tang N, et al: Frequent somatic mutations in MAP3K5 and MAP3K9 in metastatic melanoma identifed by exome sequencing. Nat Genet. 44:165–169. 2011.PubMed/NCBI View Article : Google Scholar | |
Thompson NA, Haefliger JA, Senn A, Tawadros T, Magara F, Ledermann B, Nicod P and Waeber G: Islet-brain1/JNK-interacting protein-1 is required for early embryogenesis in mice. J Biol Chem. 276:27745–27748. 2001.PubMed/NCBI View Article : Google Scholar | |
Liu Y, Hou J, Zhang M, Seleh-Zo E, Wang J, Cao B and An X: Circ-016910 sponges miR-574-5p to regulate cell physiology and milk synthesis via MAPK and PI3K/AKT-mTOR pathways in GMECs. J Cell Physiol. 235:4198–4216. 2020.PubMed/NCBI View Article : Google Scholar | |
Abdeyrim A, Cheng X, Lian M and Tan Y: miR-490-5p regulates the proliferation, migration, invasion and epithelial-mesenchymal transition of pharyngolaryngeal cancer cells by targeting mitogen-activated protein kinase kinasekinase 9. Int J Mol Med. 44:240–252. 2019.PubMed/NCBI View Article : Google Scholar | |
Cai P, Yang T, Jiang X, Zheng M, Xu G and Xia J: Role of miR-15a in intervertebral disc degeneration through targeting MAP3K9. Biomed Pharmacother. 87:568–574. 2017.PubMed/NCBI View Article : Google Scholar | |
Zhang X, Li J and Yan M: Targeted hepatocellular carcinoma therapy: Transferrin modified, self-assembled polymeric nanomedicine for co-delivery of cisplatin and doxorubicin. Drug Dev Ind Pharm. 42:1590–1599. 2016.PubMed/NCBI View Article : Google Scholar |