- Open Access
Silence of MCL-1 upstream signaling by shRNA abrogates multiple myeloma growth
© Wang et al.; licensee BioMed Central Ltd. 2014
- Received: 11 September 2014
- Accepted: 4 November 2014
- Published: 19 November 2014
Multiple myeloma (MM) is an incurable B-cell cancer with accumulated clonal abnormal plasma cells in bone marrow of patients. MCL-1 (myeloid cell leukemia sequence 1) protein is an anti-apoptotic molecule in MM cells and regulated by pro-inflammatory cytokine IL-6 and downstream signaling molecules STAT3, PI3K and MAPK. The purpose of this study is to investigate the effect of STAT3, PI3K and MAPK gene silence on MCL-1 expression in human MM cells and the consequence of cell survival.
Lentivirus small hairpin RNA (shRNA) interference techniques were utilized to knock down STAT3, PI3K or MAPK genes. Gene and protein expression was quantified by quantitative real-time PCR and Western Blot. MM cell apoptosis was examined by annexin-V FITC/propidium iodide staining.
Efficient silence of STAT3, PI3K, MAPK1 or MAPK2 gene robustly abrogated IL-6 enhanced MCL-1 expression and suppressed MM cell growth. Silencing STAT3 gene inhibited PI3K expression, silencing PI3K markedly abrogated STAT3 and MAPK production. Inhibition of MAPK2 gene by shMAPK2 suppressed STAT3, PI3K and MAPK1 expression in the cells. Silencing of STAT3, PI3K and MAPK2 together completely blocked MCL-1 expression in MM cells.
There is a syngeneic effect among the three independent STAT3, PI3K and MAPK2 survival-signaling pathways related to MCL-1 expression in MM cells. shRNAs silencing of STAT3, PI3K and MAPK2 together could provide an effective strategy to treat MM.
- Multiple myeloma
Multiple myeloma (MM) is a B-cell blood cancer that characterized with excessive clonal abnormal plasma cells in the bone marrow . It is the most common hematological malignancy in USA. As a B-cell lymphoma-2 (BCL-2) family member, myeloid cell leukemia-1 (MCL-1) plays critical roles in promoting the survival of MM cells  as well as a wide range of other cancer cells due to its anti-apoptosis activities . The mechanism by which Mcl-1 blocks the progression of apoptosis is through binding and sequestering the pro-apoptotic BH3-only proteins Bim, PUMA, Noxa, Bak, and Bax , preventing pore formation on mitochondrial membrane of MM cells and the release of cytochrome c into the cytoplasm. In clinical and preclinical studies, pan BCL-2 protein inhibitors have been used to treat patients with multiple myeloma . Those inhibitors are small synthetic BH3 mimetic molecules with the potent capability to bind to anti-apoptotic factors. Monoclonal antibodies targeting the malfunctioned plasma cells have been widely used to treat MM patients either alone or combined with chemotherapy .
MCL-1 is a short half-life protein. It is overexpressed in cancers cells, which contributes to drug resistance to conventional chemotherapy [7, 8]. The expression of MCL-1 in MM cells is tightly regulated by survival signaling triggered by cytokines and growth factors in bone marrow microenvironment [2, 9, 10]. IL-6 is a key pro-inflammatory cytokine that activates MCL-1 survival signaling upstream molecules including signal transducer and activator of transcription-3 (STAT3), phosphatidylinositol-3 (PI3K), and Mitogen-activated protein kinase (MAPK) . Those molecules modulate three independent signaling pathways that control MCL-1 transcription . Thus, targeting IL-6 triggered MCL-1 modulating molecules offers potential therapeutic approach to treat multiple myeloma. In this study, we investigated the effects of STAT3, PI3K and MAPK RNA interference on IL-6 induced MCL-1 expression in human MM cells and the apoptotic death of the cells.
Human myeloma cell lines 8226 and U266 were cultured in RPMI-1640 medium (Hyclone, USA) supplemented with 10% heat-inactivated fetal bovine serum (FBS) (Gibco, USA) and penicillin/streptomycin antibiotics at 37°C in a 5% CO2 incubator. 293 T cells were cultured in DMEM medium with 10% FBS and penicillin/streptomycin. For cell proliferation assay, U266 or 8226 cells (5,000 cells/well) were cultured in a 96-well plate with 100ul of RPMI-1640 medium for 24 or 48 hours in presence of IL-6 (5 ng/ml) (R&D, USA).
Primer sequences for qRT-PCR
Quantitative Real-time polymerase chain reaction (qRT-PCR)
Total RNA was extracted from cells as previously described . PrimeScript® RT reagent Kit and SYBR® PremixEx Taq™ II kit were obtained from TAKARA (Dalian, China) and used for conversion of total RNA to cDNA and for the detection of mRNA expression. Each PCR reaction mixture (20 μl) included 10 μl of SYBR Green Master Mix, 0.4 μl of sense and anti-sense primers, and 10 ng of cDNA. The PCR reaction mix was first denatured at 95°C for 10 minutes. PCR was then run for 40 cycles: denaturation at 95°C for 15 seconds and annealing at 60°C for 1 minute. The primer sequences for qRT-PCR were purchased from AuGCT Corporation as listed in Table 1. According to the manufacturer’s instructions, the fold change with 2-ΔΔCt method was used in qRT-PCR data analysis and β-actin was served as a control. All reactions were run in triplicate using the IQ-5 Real-Time PCR System (Bio-Rad, USA).
Cell apoptotic assay
U266 or 8266 cells (106 cells/well) were cultured in 12-well plates in triplicate and transfected with targeted shRNA against STAT3, PI3K, MAPK1 or MAPK2, or control shRNAs vectors for 48 h following the manufacturer’s instructions. Apoptotic and viable cells fractions were assessed with annexin-V FITC/propidium iodide staining (Invitrogen, USA) on a flow cytometer (Becton, USA) following the manufacturer’s instruction. The apoptotic populations were determined by ModFit software. Alternatively, The cells were harvested and washed in PBS, followed by fixation with ice-cold ethanol overnight. The cells were then washed in PBS and incubated in 1 ml staining solution (20 ug/ml propidium iodide and 10 U/ml RNaseA) for 30 min at room temperature. The cell cycle distributions were assayed by fluorescence-activated cell sorting using a flow cytometer.
Cell growth was assessed with the 3-(4, 5-dimethyl-2-thiazolyl)-2,5-diphenyl-2H-tetrazolium bromide (MTT) assay. The cells were seeded into wells of a 96-well plate and infected with lentivirus carrying shRNA for 24 and 48 hours at 37°C. The cells were then treated with MTT solution (15 μl/well) for 4 hours at 37°C. After gentle removal of culture supernatant, the cell pellets were dissolved with 200 μl of Dimethyl sulfoxide (DMSO). Optical density (OD) at 570 nm was read on a FLUOstar OPTIMA machine (BMG Labtech). Experiments were performed in triplicate.
U266 or 8266 cells were harvested 24 or 48 hours after IL-6 treatment and washed with cold PBS. Total proteins extracted from the cells using a RIPA cell lysis buffer (Wolsen, China) were separated on 10% SDS polyacrylamide gels and electrophoretically transferred to polyvinylidene difluoride membrane (Millipore, USA). The membranes were treated with mouse anti-STAT3, rabbit anti-MCL-1, anti-PI3K or anti-MAPK1/2 antibodies, rabbit anti-pSTAT-3, anti-pMAPK1/2 antibodies, and mouse anti-β-actin antibodies (1:1000 dilution) (Cell Signaling Technology, USA). The membranes were then reacted with the HRP-conjugated secondary antibodies before subjected to enhanced chemiluminescent (ECL) detection on an ECL machine (Pierce, USA). The blots were scanned and the band density was measured on the Quantity One imaging software.
All data were presented as mean ± SD (standard deviation). The MCL-1 protein expression levels post IL-6 treatment, cell growth, and percentage of apoptotic cells in different shRNA silencing were analyzed by One-way ANOVA. P < 0.05 was considered statistically significant (*, P < 0.05; **, P < 0.01).
IL-6 stimulation enhanced MCL-1 expression and myeloma growth
Silencing STAT3, PI3K, MAPK1 or MAPK2 abrogated IL-6 triggered MCL-1 expression in human MM cells
Interactions among STAT3, PI3K and MAPK signaling on IL-6 induced MCL-1 gene expression in myeloma cells
STAT3, PI3K and MAPK RNA interference abrogated myeloma cell growth
The findings in this study indicated that RNA silence of STAT3, PI3K, or MAPK gene using shRNA interference robustly inhibited MCL-1 expression in IL-6 treated human MM cells, leading to remarkable myeloma cell apoptosis. MCL-1 plays critical roles in cancer cell survival and drug resistance against chemotherapy [8, 14, 15] and become a promising therapeutic target for MM treatment . RNA silencing/interference is a technique that can specifically and efficiently knocks down target genes. STAT3, PI3K and MAPK are three key upstream signaling molecules that control MCL-1 expression. It has showed selective targeting MCL-1 or its upstream modulatory molecules by RNA interference induced cancer cell death [17–20]. Our study extends the previous studies using shRNA gene interference technique for targeting oncogenes in MM cells. To our knowledge, it is the first report showing that efficient knockdown of PI3K or MAPK gene by shRNA could sufficiently block MCL-1 expression in MM cells and resulted in consequent cell death, which offers a potential to utilize shRN/RNA interference as an alternative of chemotherapy for treat drug-resistant MM treatment.
RNA interference technique has been widely used to investigate the functional interaction among related genes by selective silence of one gene. In this study, we also assessed the mutual effect of shRNA silencing among STAT3, PI3K and MAPK genes. It was reported that STAT3 had functional activities in PI3K-driven oncogenic transformation and there was a crosstalk between STAT3 and PI3K signaling pathways in driving the transformation of murine glioblastoma  and lymphoblastic B-cell lymphomas , and caused drug resistance . Qiang et al. reported that there is a crosstalk between PI3K and MAKP pathways in MM cells . Consistent with their study, we found that silencing MAPK2 but not MAPK1 had marked suppressive effect on PI3K as well as STAT3. MAPK1/2 signaling network involves many cross-talk nodes and routes interactive with other cell survival signaling pathways such as PI3K , it is not surprising that silencing MAPK1 and MAPK2 could have distinct effects on PI3K and STAT3 expression in MM cells. Collectively, our data demonstrated that knockdown one of STAT3, PI3K and MAPK2 genes likely affected the expression of the other two genes in human MM cells and support the evidence that blockade of both PI3K and MAPK pathways caused a significantly higher percentage of human primary MM cell death than individual inhibition . These data suggest that combined targeting IL-6-activated STAT3, PI3K and MAPK molecules or signaling pathways tend to provide better clinical treatment for MM patients, considering the heterogeneous phenotypes of MM and the emerging drug resistance in the course of chemotherapy .
In conclusion, we have efficiently delivered lentivirus shRNA to knock down STAT3, PI3K, MAPK genes and downstream MCL-1 expression in human MM cells, and increased cell apoptosis. Selectively silence of MCL-1 upstream signaling molecules STAT3, PI3K and MAPK by shRNA provides a potent strategy to treat drug-resistance human MM.
This study was supported by grants from the National Natural Science Foundation of China (NO: 81071952) (to M Wang), the Winship Cancer Institute Robbins Scholar Awards and the Winship Cancer Institute Myeloma Research Fund (to J Deng).
- Andrews SW, Kabrah S, May JE, Donaldson C, Morse HR: Multiple myeloma: the bone marrow microenvironment and its relation to treatment. Br J Biomed Sci 2013, 70: 110–120.PubMedGoogle Scholar
- Le Gouill S, Podar K, Harousseau JL, Anderson KC: Mcl-1 regulation and its role in multiple myeloma. Cell Cycle 2004, 3: 1259–1262. 10.4161/cc.3.10.1196PubMedView ArticleGoogle Scholar
- Perciavalle RM, Opferman JT: Delving deeper: MCL-1's contributions to normal and cancer biology. Trends Cell Biol 2013, 23: 22–29. 10.1016/j.tcb.2012.08.011PubMed CentralPubMedView ArticleGoogle Scholar
- Vela L, Gonzalo O, Naval J, Marzo I: Direct interaction of Bax and Bak proteins with Bcl-2 homology domain 3 (BH3)-only proteins in living cells revealed by fluorescence complementation. J Biol Chem 2013, 288: 4935–4946. 10.1074/jbc.M112.422204PubMed CentralPubMedView ArticleGoogle Scholar
- Scarfo L, Ghia P: Reprogramming cell death: BCL2 family inhibition in hematological malignancies. Immunol Lett 2013, 155: 36–39. 10.1016/j.imlet.2013.09.015PubMedView ArticleGoogle Scholar
- Ocio EM, Richardson PG, Rajkumar SV, Palumbo A, Mateos MV, Orlowski R, Kumar S, Usmani S, Roodman D, Niesvizky R, Einsele H, Anderson KC, Dimopoulos MA, Avet-Loiseau H, Mellqvist UH, Turesson I, Merlini G, Schots R, McCarthy P, Bergsagel L, Chim CS, Lahuerta JJ, Shah J, Reiman A, Mikhael J, Zweegman S, Lonial S, Comenzo R, Chng WJ, Moreau P, et al.: New drugs and novel mechanisms of action in multiple myeloma in 2013: a report from the International Myeloma Working Group (IMWG). Leukemia 2014, 28: 525–542. 10.1038/leu.2013.350PubMed CentralPubMedView ArticleGoogle Scholar
- Quinn BA, Dash R, Azab B, Sarkar S, Das SK, Kumar S, Oyesanya RA, Dasgupta S, Dent P, Grant S, Rahmani M, Curiel DT, Dmitriev I, Hedvat M, Wei J, Wu B, Stebbins JL, Reed JC, Pellecchia M, Sarkar D, Fisher PB: Targeting Mcl-1 for the therapy of cancer. Expert Opin Investig Drugs 2011, 20: 1397–1411. 10.1517/13543784.2011.609167PubMed CentralPubMedView ArticleGoogle Scholar
- Wuilleme-Toumi S, Robillard N, Gomez P, Moreau P, Le Gouill S, Avet-Loiseau H, Harousseau JL, Amiot M, Bataille R: Mcl-1 is overexpressed in multiple myeloma and associated with relapse and shorter survival. Leukemia 2005, 19: 1248–1252. 10.1038/sj.leu.2403784PubMedView ArticleGoogle Scholar
- Thomas LW, Lam C, Edwards SW: Mcl-1; the molecular regulation of protein function. FEBS Lett 2010, 584: 2981–2989. 10.1016/j.febslet.2010.05.061PubMedView ArticleGoogle Scholar
- Huston A, Roodman GD: Role of the microenvironment in multiple myeloma bone disease. Future Oncol 2006, 2: 371–378. 10.2217/147966220.127.116.111PubMedView ArticleGoogle Scholar
- Burger R: Impact of interleukin-6 in hematological malignancies. Transfus Med Hemother 2013, 40: 336–343. 10.1159/000354194PubMed CentralPubMedView ArticleGoogle Scholar
- Wang MC, Liu SX, Liu PB: Gene expression profile of multiple myeloma cell line treated by realgar. J Exp Clin Cancer Res 2006, 25: 243–249.PubMedGoogle Scholar
- Lebedev TD, Spirin PV, Prassolov VS: Transfer and expression of small interfering RNAs in mammalian cells using lentiviral vectors. Acta Naturae 2013, 5: 7–18.PubMed CentralPubMedGoogle Scholar
- Derenne S, Monia B, Dean NM, Taylor JK, Rapp MJ, Harousseau JL, Bataille R, Amiot M: Antisense strategy shows that Mcl-1 rather than Bcl-2 or Bcl-x(L) is an essential survival protein of human myeloma cells. Blood 2002, 100: 194–199. 10.1182/blood.V100.1.194PubMedView ArticleGoogle Scholar
- Jourdan M, Veyrune JL, De Vos J, Redal N, Couderc G, Klein B: A major role for Mcl-1 antiapoptotic protein in the IL-6-induced survival of human myeloma cells. Oncogene 2003, 22: 2950–2959. 10.1038/sj.onc.1206423PubMed CentralPubMedView ArticleGoogle Scholar
- Fan F, Tonon G, Bashari MH, Vallet S, Antonini E, Goldschmidt H, Schulze-Bergkamen H, Opferman JT, Sattler M, Anderson KC, Jäger D, Podar K: Targeting Mcl-1 for multiple myeloma (MM) therapy: Drug-induced generation of Mcl-1 fragment Mcl-1 triggers MM cell death via c-Jun upregulation. Cancer letters 2014, 343: 286–294. 10.1016/j.canlet.2013.09.042PubMedView ArticleGoogle Scholar
- Senft D, Berking C, Graf SA, Kammerbauer C, Ruzicka T, Besch R: Selective induction of cell death in melanoma cell lines through targeting of Mcl-1 and A1. PLoS One 2012, 7: e30821. 10.1371/journal.pone.0030821PubMed CentralPubMedView ArticleGoogle Scholar
- Keuling AM, Felton KE, Parker AA, Akbari M, Andrew SE, Tron VA: RNA silencing of Mcl-1 enhances ABT-737-mediated apoptosis in melanoma: role for a caspase-8-dependent pathway. PLoS One 2009, 4: e6651. 10.1371/journal.pone.0006651PubMed CentralPubMedView ArticleGoogle Scholar
- Schulze-Bergkamen H, Fleischer B, Schuchmann M, Weber A, Weinmann A, Krammer PH, Galle PR: Suppression of Mcl-1 via RNA interference sensitizes human hepatocellular carcinoma cells towards apoptosis induction. BMC Cancer 2006, 6: 232. 10.1186/1471-2407-6-232PubMed CentralPubMedView ArticleGoogle Scholar
- Fagerli UM, Ullrich K, Stuhmer T, Holien T, Kochert K, Holt RU, Bruland O, Chatterjee M, Nogai H, Lenz G, Shaughnessy JD Jr, Mathas S, Sundan A, Bargou RC, Dörken B, Børset M, Janz M: Serum/glucocorticoid-regulated kinase 1 (SGK1) is a prominent target gene of the transcriptional response to cytokines in multiple myeloma and supports the growth of myeloma cells. Oncogene 2011, 30: 3198–3206. 10.1038/onc.2011.79PubMedView ArticleGoogle Scholar
- Vogt PK, Hart JR: PI3K and STAT3: a new alliance. Cancer Discov 2011, 1: 481–486. 10.1158/2159-8290.CD-11-0218PubMed CentralPubMedView ArticleGoogle Scholar
- Han SS, Yun H, Son DJ, Tompkins VS, Peng L, Chung ST, Kim JS, Park ES, Janz S: NF-kappaB/STAT3/PI3K signaling crosstalk in iMyc E mu B lymphoma. Mol Cancer 2010, 9: 97. 10.1186/1476-4598-9-97PubMed CentralPubMedView ArticleGoogle Scholar
- McCubrey JA, Steelman LS, Abrams SL, Lee JT, Chang F, Bertrand FE, Navolanic PM, Terrian DM, Franklin RA, D'Assoro AB, Salisbury JL, Mazzarino MC, Stivala F, Libra M: Roles of the RAF/MEK/ERK and PI3K/PTEN/AKT pathways in malignant transformation and drug resistance. Adv Enzyme Regul 2006, 46: 249–279. 10.1016/j.advenzreg.2006.01.004PubMedView ArticleGoogle Scholar
- Qiang YW, Kopantzev E, Rudikoff S: Insulinlike growth factor-I signaling in multiple myeloma: downstream elements, functional correlates, and pathway cross-talk. Blood 2002, 99: 4138–4146. 10.1182/blood.V99.11.4138PubMedView ArticleGoogle Scholar
- AKsamitiene E, Kiyatkin A, Kholodenko BN: Cross-talk between mitogenic Ras/MAPK and survival PI3K/Akt pathways: a fine balance. Biochem Soc Trans 2011, 40: 139–146.View ArticleGoogle Scholar
- Steinbrunn T, Stuhmer T, Sayehli C, Chatterjee M, Einsele H, Bargou RC: Combined targeting of MEK/MAPK and PI3K/Akt signalling in multiple myeloma. Br J Haematol 2012, 159: 430–440. 10.1111/bjh.12039PubMedView ArticleGoogle Scholar
- Abdi J, Chen G, Chang H: Drug resistance in multiple myeloma: latest findings and new concepts on molecular mechanisms. Oncotarget 2013, 4: 2186–2207.PubMed CentralPubMedView ArticleGoogle Scholar
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