Abstract
Objective: To investigate the expression of miRNA-101 in normal and malignant ovarian tissues and cells as well as its impact on the proliferation and invasion of human ovarian cancer H08910 and SKOV3 cell lines. Methods: Real time polymerase chain reaction (RT-PCR) was employed to detect the miR-101 and SOCS-2 expression in 20 separate ovarian cancer tissues and para-carcinoma tissues, human ovarian cancer cells (H08910 and SKOV3) and normal human ovarian epithelial cells (HUM-CELL-0088). After H08910 and SKOV3 ovarian cancer cells were respectively transfected with miR-NC (H08910/NC and SKOV3/NC) and miR-101 (H08910/miR-101 and SKOV3/miR-101), Western Blot was employed to detect the SOCS-2 expression in transfected cells. CCK-8 and clone formation and Transwell assays were employed to determine the proliferation and invasion ability of wild type and transfected ovarian cancer cells. Results: The expression of miR-101 in ovarian cancer tissues and cells was significantly lower than that in para-carcinoma tissues (t=19.12, P=0.002) and normal human ovarian epithelial cells (HUM-CELL-0088) (F=14.37, P=0.000), respectively. In contrast, the SOCS-2 expression in ovarian cancer tissues and cells was significantly higher than that in para-carcinoma tissues (t=25.03, P=0.000) and HUM-CELL-0088 cells (F=14.9, P=0.000) by Western Blotting analysis, respectively. Compared with wild type and empty vector transfected cells, the expression of SOCS-2 was significantly decreased in miR-101 transfected H08910 (t=10.9, P=0.001) and SKOV3 cells (t=21.03, P=0.000). The results of CCK-8, clone formation and Transwell assays revealed that the proliferation and invasion ability of ovarian cancer cells was markedly inhibited by the transfection of miR-101. Conclusion: MiR-101 was validated to be reduced and SOCS-2 expression increased in ovarian cancer tissues and cells. The over expression of miR-101 can remarkably reduce the in vitro proliferation and invasion ability of ovarian cancer cells through the down-regulation of SOCS-2.
Keywords: miRNA-101, SOCS-2, ovarian cancer, cell proliferation
Introduction
Ovarian cancer is a gynecological tumor with the highest malignant degree and the second most lethal cause of malignancy-related death in women around the world [1]. For lacking of specific early symptoms and reliable methods of early imaging diagnosis, its diagnosis rate is very low at the early stage [2]. Therefore, operation and postoperative adjuvant chemotherapy are of important significance for its treatment. However, the effectiveness of chemotherapy is greatly restricted owing to the toxic and side effects of chemotherapeutics and the susceptibility of ovarian cancer to chemotherapeutic [3,4]. Although revolutionary changes have been made by molecular targeting treatment for many malignant tumors, no effective targeted drug has ever been applied to treat ovarian cancer clinically [4-6]. Hence, in order to improve the treatment efficacy and prognosis in patients, it is very important to further investigate the genesis and development mechanism of ovarian cancer to find and develop an effective target for its treatment.
miRNA-101 is closely associated with the formation and development of human tumor. Its expression level is low in tumor tissues like bladder and gastric cancer, but high in normal ones. In tumor, miRNA-101 plays the role of tumor suppressor genes. miRNA-101 has two precursors, which are located in chromosome 1 and 9. However, its mature sequence is highly conservative in many species. Up to now, it has been reported that it is targeted at genes like MCL-1 (one member of BCL-2 family), as well as oncogenes FOS and EZH2. SOCS2, a member of suppressor of cytokine signaling (SOCS) family, is a negative regulatory protein of cytokines. SOCS2 encodes 198 amino acids, including a C-terminal SOCS box, a central SH2 structural domain and an N terminal structural domain. It functions mainly by binding JAK proteins or phosphorylated tyrosine on cytokine receptors with the SH2 structural domain, thus inhibiting JAK/STAT-mediated cascade reactions. SOCS2 can widely act on multiple systems and influence their functions to some extent. Studies find that the aberrant methylation of SOCS2 is closely related to gene silencing during the formation and development of cancer. Both in gastric cancer cells and primary breast cancer cells, there are gene transcriptional silencing and aberrant methylation of SOCS2. All of these cells show growth inhibition.
MicroRNA (miRNA) is a group of endogenous small non-coding RNA molecules about 18~25 nt long and is involved in the regulation of about 30% of coding genes within human body. An increasing number of studies show that miRNA plays a very important role in the genesis and development of various malignant tumors [7,8]. In this study, the expression of miR-101 in normal and ovarian cancer tissues and cells was compared, and, by transfecting ovarian cancer cells with miR-101, the impact of miR-101 over-expression on the proliferation and invasion ability of ovarian cancer cells was observed, so as to investigate its mechanism of action in the genesis and development of ovarian cancer.
Materials and methods
Cell culture
Human ovarian cancer cell lines H08910 and SKOV3 and normal human ovarian epithelial cells HUM-CELL-0088 were all purchased from American Type Culture Collection (ATCC) and stored in our department. These cells placed in DMEM culture medium supplemented with 10% fetal bovine serum (Invitrogen) were subcultured in an incubator with 5% CO2 at 37°C.
Clinical data
The object of study was surgical specimens taken from 20 female patients diagnosed with ovarian cancer in our hospital who received operative treatment from June 2014 to February 2015. The age of these patients ranged from 39 to 66 years with a median age of 54 years. Among these operative specimens, ovarian cancer tissues and para-carcinoma tissues (normal ovarian tissues more than 5 cm away from the tumor’s margin) were taken, put into liquid nitrogen for storage within 10 min after separation and reserved for subsequent assays. Before operation, the patients were informed of the objective and methods and were asked to sign an informed consent form.
Major reagents
Total RNA Extraction Reagent (Trizol) was purchased from Dakewe Biotech Company, RNA RT Kit from Takara, primary antibodies and secondary antibodies used in Western Blotting from Cell Signaling, and Cell Counting Kit (CCK-8) from Beyotime Institute of Biotechnology.
RNA extraction
Above-mentioned samples stored in liquid nitrogen were taken and ground. Then, 1 ml Trzol was added. Next, subcultured H08910 and MRC-5 cells were collected, washed and centrifuged (1200 r/min×5 min) with PBS. Likewise, 1 ml Trzol was then added. After that, miRNA was extracted according to steps presented by miRNA Isolation Kit. Finally, the concentration and purity of the extracted RNA was determined with an ultraviolet spectrophotometer.
RNA reverse transcription
RNA extracted from the above steps was reversely transcripted to cDNA with PCR instruments. The reaction system was shown in the following Table 1 and the reaction conditions were 25°C×30 min, 42°C×30 min and 85°C×5 min.
Table 1.
The reaction condition of RNA reverse transcription
| Template RNA | 3 µg |
| 5×MMLV RT Buffer | 4 µl |
| 10 mM dNTP | 0.75 µl |
| 1 µM miR-RT primers | 1.2 µl |
| 40 U/µl Rnasin | 0.25 µl |
| 200 Uµl MMLV Reverse Transcriptase | 0.2 µl |
| RNase-free water | The total system was added to 20 µl |
Real-time fluorescence quantification pcr
PCR amplification was performed in ABI-7300 instruments for real-time fluorescence quantitative by adding relevant reagents and primers according to steps presented by Bi-Rad’s RT-qPCR kits, with cDNA as template and U6 as internal reference. The reaction conditions were 95°C×3 min and (95°C×12 s, 62°C×40 s) ×40 cycles. A relative quantitative analysis was conducted for the level of expression by using the 2-ΔΔCt method.
Western blotting
Cell samples were collected and, after they being lysed by cell lysis buffer, protein samples were separated by 8% SDS-PAE and transferred to nitrocellulose membrane (Millipore). The resultant product was incubated with corresponding primary antibodies and secondary antibodies labeled with horse radish peroxidase (HRP). Then, DAB was used for color development and luminescence.
miRNA transfection
H08910 and SKOV3 cells at exponential growth stage were transfected with miR-NC and miR-101 by the way offered by lipo2000 Transfection Kit of Invitrogen. After 24 hours, the transfected cells were cryopreserved for subsequent assays.
Cell growth curve assay
Wild type H08910 and SKOV3 cells and ovarian cancer cells transfected with empty vectors (H08910/NC and SKOV3/NC) and miR-101 (H08910/miR-101 and SKOV3/miR-101) were spread out on a 48-well plate, with an initial density of 3000 cells per well. The viability of these cells was detected on day 2, 3, 4 and 5 according to steps presented by CCK-8 kit and a statistical analysis was performed.
Clone formation assay
After counting, ovarian cancer cells were spread out on a 6-well plate, with a density of 100 cells per well. The plate was placed into an incubator and cultured for 2 weeks. When clones were macroscopic, the culture process was terminated. Next, it was rinsed twice with PBS carefully, while cells were fixed by applying neutral methyl alcohol 4% for 15 minutes and stained with Wright-Giemsa’s compound stain for 30 minutes. Then, it was washed slowly with running water and air dried naturally. At last, the number of clones with more than 50 cells was counted under the microscope and the cloning efficiency was calculated according to the following formula:
Cloning efficiency = (number of clones/number of cells inoculated) ×100% [9].
Transwell
Wild type (WT) H08910 and SKOV3 cells and ovarian cancer cells transfected with empty vectors (H08910/NC and SKOV3/NC) and miR-101 (H08910/miR-101 and SKOV3/miR-101) were planted in the upper chambers of Transwell cell culture inserts (Corning) with a diameter of 8.0 μm, while 700 μL normal DMEM medium supplemented with 10% fetal bovine serum was added in the lower chambers. This system was cultured with 5% CO2 for 24 hours at 37°C. After rinsing the lower chamber with PBS, cells growing in the chamber was fixed with 4% formalin and stained with 0.1% crystal violet solution. Then, the number of cells was counted by taking five random fields (amplification factor ×100) under optical microscope and the total amount was regarded as the number of cells in Transwell assay and compared with that obtained by other methods.
Statistical analysis
A statistical analysis was made by using SPSS11.0 software. For comparing the mean value of two groups, non-paired t test was adopted, while for comparing the mean value of three and more groups, one-way analysis of variance was adopted. In addition, inter-group comparison was made by Dunnett t test. And for the same study object, multiple measurement results obtained at different time points of the same indicator (cell viability detected by CCK-8 kit and the growth curve of mouse subcutaneous tumor) were compared statistically by variance analysis of repeated measurement data, with an inspection level α=0.05.
Results
Expression of miR-101 in ovarian cancer tissues and cells
The expression level of miR-101 relative to the housekeeping gene U6 in ovarian cancer tissues and para-carcinoma tissues of 20 patients enrolled in this study was presented in Figure 1A. The results of statistical analysis (Figure 1B) indicated that the expression level of miR-101 relative to U6 in ovarian cancer tissues was 1.11±0.53, which was statistically significantly lower (t=19.12, P=0.002) than that in para-carcinoma tissues (5.05±2.03). In Figure 1C, it was shown that the expression level of miR-101 relative to U6 in ovarian cancer cells H08910 and SKOV3 was 1.05±0.24 and 1.45±1.34, respectively, statistically significantly lower (F=14.37, P=0.000) than that in normal ovarian epithelial cells (5.49±1.10).
Figure 1.

The expression of miR-101 in tissues and cells detected by RT-qPCR. A, B: The expression of miR-101 in ovarian cancer tissues and para-carcinoma tissues from patients with ovarian cancer. C: The expression of miR-101 in ovarian cancer cells H08910 and SKOV3 and normal ovarian epithelial cells HUM-CELL-0088.
Expression of SOCS-2 in ovarian cancer cells and normal human ovarian epithelial cells
The Figure 2 obtained by Western Blotting underwent gray scale scanning with Quality One and the relative expression level was presented as SOCS-2-to-β-actin gray scale ratio. Besides, a statistical analysis was conducted. Results indicated that the relative expression level of SOCS-2 in ovarian cancer cells was 1.04±0.12, notably higher (t=25.03, P=0.000) than that in para-carcinoma tissues (0.30±0.11), while the relative expression level of SOCS-2 in ovarian cancer cells H08910 and SKOV3 was 1.16±0.09 and 1.27±0.18, respectively, notably higher (F=14.9, P=0.000) than that in normal human ovarian epithelial cells HUM-CELL-0088 (0.22±0.03).
Figure 2.

Comparison of the expression of SOCS-2 in ovarian cancer tissues and para-carcinoma cells, ovarian cancer cells H08910 and SKOV3 as well as normal human ovarian epithelial cells HUM-CELL-0088 by Western Blotting. 1: Para-carcinoma tissues; 2: Tumor tissues; 3: HUM-CELL-0088; 4: H08910; 5: SKOV3.
The impact of over-expression of mir-101 on socs-2 expression level in ovarian cancer cells
The results of Western Blotting (Figure 3) indicated that, when miR-101 was over-expressed, the relative expression level of SOCS-2 in ovarian cancer cells H08910 decreased from 0.82±0.33 to 0.37±0.05 (t=10.9, P=0.001), while that in ovarian cancer cells SKOV3 decreased from 1.04±0.12 to 0.19±0.03 (t=21.03, P=0.000).
Figure 3.

Changes of the relative expression level of SOCS-2 in ovarian cancer cells H08910 and SKOV3 after miR-101 over-expression was detected by Western Blotting. 1: H08910; 2: H08910/miR-101; 3: SKOV3; 4: SKOV3/miR-101.
The impact of over-expression of mir-101 on the proliferation and invasion of ovarian cancer cells in-vitro
As was shown in Figure 4A, after H08910 and H08910/NC cells were cultured for 5 days, their cell viabilities were 739.2±100.4% and 760.4±86.3%, respectively, compared with that at the beginning of inoculation. The difference was of no statistical significance (F=1.31, P=0.35). In contrast, the cell viability of H08910/miR-101 with miR-101 over-expressed was 309.6±45.2% compared with that at the beginning of inoculation, which was evidently lower than that of H08910 (F=6.03, P=0.011) and H08910/NC (F=5.92, P=0.012) cells. The results of clone formation assay suggested (Figure 4C) that the clone formation ability of H08910/miR-101 cells significantly decreased compared with that of H08910 cells and H08910/NC cells (Cloning efficiency: H08910, 76.2±5.4%; H08910/NC, 60.8±9.3%; H08910/mi-101, 32.4±5.51%; Dunnett t test I-J=-0.20, P=0.025). The same phenomenon was observed for the other ovarian cancer cell line SKOV3 (Figure 4B, 4D).
Figure 4.

The impact of over-expression of miR-101 on the proliferation and clone formation of ovarian cancer cells in-vitro. (A, B) The impact of over-expression of miR-101 on the growth curve of H08910 cells (A) and SKOV3 cells (B). (C, D) The impact of over-expression of miR-101 on the clone formation ability of H08910 cell (C) and SKOV3 cell (D) in-vitro.
The results of Transwell assay indicated (Figure 5) that, after H08910 cells and H08910/NC cells were cultured for 24 hours, the number of cells counted by Transwell was 74.9±7.4 and 72.4±8.6, respectively. In contrast, for H08910/miR-101 cells with miR-101 over-expressed, the number of cells counted by Transwell was only 25.8±4.2, which was statistically significantly different from that of H08910 (F=12.3, P=0.000) and H08910/NC (F=11.5, P=0.000). The same phenomenon was observed for the other ovarian cancer cell line SKOV3 (the lower part of Figure 5).
Figure 5.

The impact of the over-expression of miR-101 on the invasion ability of ovarian cancer cells detected by Transwell assay.
Discussion
Ovarian cancer is a gynecological tumor with the highest malignant degree. For lacking of efficient means of early diagnosis, most patients have already been at the middle or advanced stage when diagnosed. And the tumor tissues may not be completely excised by any radical operation [1,5]. Therefore, it is of great significance to further illuminate the pathogenesis of ovarian cancer to improve the prognosis of patients with the cancer.
miRNA plays an important role in such crucial life processes as embryonic development, cell cycle control, proliferation and differentiation and apoptosis [10]. It controls the expression of target genes by regulating the degradation and translation of mRNA [11,12]. Bioinformatics researches show that miRNA participates in the regulation of about 30% coding genes within human body [7,8]. More and more evidences indicate that there are various kinds of abnormal expressions of miRNA in human tumor and suggest that miRNA may play an important role in the genesis and development of malignant tumors by regulating or inhibiting the expression of oncogenes [13,14].
SOCS-2 is an important member of suppressors of cytokine signaling and the expression product of oncogene socs-2 and participates in a series of important processes related to cell growth, division and apoptosis [13,14]. It is shown that abnormal expressions of SOCS-2 found in many malignant tumors [15-18] have yet not been reported in ovarian cancer.
In this study, it was demonstrated by qRT-PCR that the expression level of miR-101 and SOCS-2 in ovarian cancer tissues and cells significantly decreased and increased, respectively, compared with that in para-carcinoma tissues and normal cells. A study performed by Xiaoying Zhou et al. [19] suggested that miR-101 can inhibit the genesis and development of gastric cancer by inhibiting the expression of SOCS-2. Bioinformatics analysis confirmed that miR-101 had a binding site in the 3’UTR of SOCS-2 [19]. In order to verify the relation between the down-regulated expression level of miR-101 and the up-regulated expression level of SOCS-2 in ovarian cancer tissues and cells, this study successfully transfected ovarian cancer cells with miR-101 by lipo2000. The results manifested that in ovarian cancer cells with over-expressed miR-101, the expression level of SOCS-2 was up-regulated evidently compared with that in wild type tumor cells. Further studies indicated that the proliferation and invasion ability of ovarian cancer cells with over-expressed miR-101 was notably lower than that of wild type tumor cells.
It was shown that the expression of PGE2 increased in many malignant tumor tissues and cells, which was closely related to the genesis, development, invasion, metastasis and prognosis of these malignant tumors [1,16,17,20]. Furthermore, in this study, it was found that, in ovarian cancer tissues and cells, the expressions of miR-101 and SOCS-2 were markedly negatively correlated with each other, and the proliferation and invasion ability of ovarian cancer cells both in-vitro and in-vivo with over-expressed miR-101 decreased significantly. All of these results suggest that miR-101 probably plays an important role in the genesis and development of ovarian cancer by regulating the expression of its target gene SOCS-2. Therefore, up-regulating the expression of miR-101 in ovarian cancer tissues and cells may become an effective method to treat ovarian cancer.
Disclosure of conflict of interest
None.
References
- 1.Fu Q, Chen Z, Gong X, Cai Y, Chen Y, Ma X, Zhu R, Jin J. Beta-Catenin expression is regulated by an IRES-dependent mechanism and stimulated by paclitaxel in human ovarian cancer cells. Biochem Biophys Res Commun. 2015;461:21–27. doi: 10.1016/j.bbrc.2015.03.161. [DOI] [PubMed] [Google Scholar]
- 2.Liu H, Yan Z Q, Li B, Yin SY, Sun Q, Kou JJ, Ye D, Ferns K, Liu HY, Liu SL. Reduced expression of SOX7 in ovarian cancer: a novel tumor suppressor through the Wnt/beta-catenin signaling pathway. J Ovarian Res. 2014;7:87. doi: 10.1186/s13048-014-0087-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Chen L, Liu T, Zhou J, Wang Y, Wang X, Di W, Zhang S. Citrate synthase expression affects tumor phenotype and drug resistance in human ovarian carcinoma. PLoS One. 2014;9:e115708. doi: 10.1371/journal.pone.0115708. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Tyagi A, Agarwal C, Dwyer-Nield LD, Singh RP, Malkinson AM, Agarwal R. Silibinin modulates TNF-alpha and IFN-gamma mediated signaling to regulate COX2 and iNOS expression in tumorigenic mouse lung epithelial LM2 cells. Mol Carcinog. 2012;51:832–842. doi: 10.1002/mc.20851. [DOI] [PubMed] [Google Scholar]
- 5.Dong X, An B, Salvucci Kierstead L, Storkus WJ, Amoscato AA, Salter RD. Modification of the amino terminus of a class epitope confers resistance to degradation by CD13 on dendritic cells and enchances presentation to T cell. J Immunol. 2000;164:129–135. doi: 10.4049/jimmunol.164.1.129. [DOI] [PubMed] [Google Scholar]
- 6.Li YY, Lam SK, Zheng CY, Ho JC. The Effect of Tumor Microenvironment on Autophagy and Sensitivity to Targeted Therapy in EGFRMutated Lung Adenocarcinoma. J Cancer. 2015;6:382–386. doi: 10.7150/jca.11187. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Ko WG, Kang TH, Lee SJ, Kim YC, Lee BH. Effects of luteolinon th inhibition of prolife ration and induction of apoptosisin humanmyeloid leukaemia cells. Phytother Res. 2002;16:295–298. doi: 10.1002/ptr.871. [DOI] [PubMed] [Google Scholar]
- 8.Farh KK, Grimson A, Jan C, Lewis BP, Johnston WK, Lim LP, Burge CB, Bartel DP. The widespread impact of mammalian MicroRNAs on mRNA repression and evolution. Science. 2005;310:1817–1821. doi: 10.1126/science.1121158. [DOI] [PubMed] [Google Scholar]
- 9.Farh KK, Grimson A, Jan C, Lewis BP, Johnston WK, Lim LP, Burge CB, Bartel DP. The widespread impact of mammalian MicroRNAs on mRNA repression and evolution. Science. 2005;310:1817–1821. doi: 10.1126/science.1121158. [DOI] [PubMed] [Google Scholar]
- 10.Wu C, Li H, Zhao H, Zhang W, Chen Y, Yue Z, Lu Q, Wan Y, Tian X, Deng A. Potentiating antilymphoma efficacy of chemotherapy using a liposome for integration of CD20 targeting, ultraviolet irradiation polymerizing, and controlled drug delivery. Nanoscale Res Lett. 2014;9:447. doi: 10.1186/1556-276X-9-447. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Bartel DP. MicroRNAs: genomics, biogenesis, mechanism, and function. Cell. 2004;116:281–297. doi: 10.1016/s0092-8674(04)00045-5. [DOI] [PubMed] [Google Scholar]
- 12.Qiu L, Chen QH, Zhang JX, Zhong X, Zhou JJ, Guo YJ, et al. Inhibitory effects of α-cyano-4-hydroxycinnamic acid on the activity of mushroom tyrosinase. Food Chem. 2009;112:609–613. [Google Scholar]
- 13.Mets E, Van der Meulen J, Van Peer G, Boice M, Mestdagh P, Van de Walle I, Lammens T, Goossens S, De Moerloose B, Benoit Y, Van Roy N, Clappier E, Poppe B, Vandesompele J, Wendel HG, Taghon T, Rondou P, Soulier J, Van Vlierberghe P, Speleman F. MicroRNA-193b-3p acts as a tumor suppressor by targeting the MYB oncogene in T-cell acute lymphoblastic leukemia. Leukemia. 2014;29:798–806. doi: 10.1038/leu.2014.276. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Mueller M, Zhou J, Yang L, Gao Y, Wu F, Schoeberlein A, Surbek D, Barnea ER, Paidas M, Huang Y. PreImplantation factor promotes neuroprotection by targeting microRNA let-7. Proc Natl Acad Sci U S A. 2014;111:13882–7. doi: 10.1073/pnas.1411674111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Galam L, Parthasarathy PT, Cho Y, Cho SH, Lee YC, Lockey RF, Kolliputi N. Adenovirusmediated transfer of the SOCS-1 gene to mouse lung Confers protection against hyperoxic acute lung injury. Free Radic Biol Med. 2015;84:196–205. doi: 10.1016/j.freeradbiomed.2015.03.036. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Kim MH, Kim MS, Kim W, Kang MA, Cacalano NA, Kang SB, Shin YJ, Jeong JH. Suppressor of Cytokine Signaling (SOCS) Genes Are Silenced by DNA Hypermethylation and Histone Deacetylation and Regulate Response to Radiotherapy in Cervical Cancer Cells. PLoS One. 2015;10:e123133. doi: 10.1371/journal.pone.0123133. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Ayyildiz T, Dolar E, Adim SB, Eminler AT, Yerci O. Lack of prognostic significance of SOCS-1 expression in colorectal adenocarcinomas. Asian Pac J Cancer Prev. 2014;15:8469–8474. doi: 10.7314/apjcp.2014.15.19.8469. [DOI] [PubMed] [Google Scholar]
- 18.Li G, Xu J, Wang Z, Yuan Y, Li Y, Cai S, He Y. Low expression of SOCS-1 and SOCS-3 is a poor prognostic indicator for gastric cancer patients. J Cancer Res Clin Oncol. 2015;141:443–452. doi: 10.1007/s00432-014-1838-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Zhou X, Xia Y, Li L, Zhang G. MiR-101 inhibits cell growth and tumorigenesis of Helicobacter pylori related gastric cancer by repression of SOCS2. Cancer Biol Ther. 2015;16:160–169. doi: 10.4161/15384047.2014.987523. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Jeong SH, Ryu YB, Curtis-Long MJ, Ryu HW, Baek YS, Kang JE, Lee WS, Park KH. Tyrosinase Inhibitory Polyphenols from Roots of Morus lhou. J Agric Food Chem. 2009;57:1195–1203. doi: 10.1021/jf8033286. [DOI] [PubMed] [Google Scholar]
