Categories
Articles

ABBS 2008,40(06): Knockdown of STAT3 by shRNA inhibits the growth of CAOV3 ovarian cancer cell line in vitro and in vivo

Original Paper

Pdf

file on Synergy OPEN

omments

Acta Biochim Biophys

Sin 2008, 40: 519-525

doi:10.1111/j.1745-7270.2008.00424.x

Knockdown of STAT3 by shRNA inhibits the growth of CAOV3 ovarian

cancer cell line in vitro and in vivo

Feng Huang1#*, Xiaoyun Tong2#, Liangqing Fu3, and Ronghua Zhang1

1 Department of Pharmacology, College of

Pharmacy, Jinan University, Guangzhou 510632, China

2 Department of Cardiology, The First

Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine,

Guangzhou 510405, China

3 Department of Clinical Pharmacology, 307

Hospital, Beijing 100850, China

Received: February

21, 2008       

Accepted: April 14,

2008

This work was

supported by a grant from the Natural Science Foundation­ of Jinan University

(JN200301)

#

These

authors contributed equally to this work

*Corresponding

author: Tel, 86-20-33091767; Fax, 86-20-85220850; E-mail, [email protected]

Constitutively activated signal transducer

and activator of transcription 3 (STAT3) plays an important role in the formation­

of many tumors including ovarian cancer. In this study, RNA interference

specific to STAT3 was employed to study its effects on the inhibition of STAT3

signaling and on the growth of ovarian cancer CAOV3 cells. Plasmid vectors

pGenesil-1-GFP-U6 expressing specific small hairpin RNA (shRNA) against STAT3

and the scrambled shRNA control were constructed. After transfection into CAOV3

cells, the STAT3 shRNA specifically suppressed STAT3 expression at both mRNA

and protein levels. At the same time, expressions of Bcl-xL, cyclin D1, and c-myc

were down-regulated, whereas the cleaved caspase 3 was up-regulated. In

addition, STAT3 knockdown inhibited anchorage-independent growth and induced­

apoptosis in CAOV3 cells, and decreased tumor growth in nude mice implanted

with ovarian cancer cells.

Keywords    CAOV3; STAT3; siRNA; cell

proliferation; apoptosis

Ovarian cancer is one of the leading causes of death in women with

gynecological neoplasms [1]. To develop new strategies for treatment, it is pivotal

for us to gain a better understanding of the molecular mechanisms of the pro­liferation

and differentiation of ovarian cancer cells. Signal transducers and activators of transcription (STATs)

constitute a family of transcription factors involved­ in cellular responses to

cytokines and growth factors. Previous studies revealed that the STAT pathway

plays important roles in several malignant human cancers including ovarian

cancer [2,3], and activated STAT signaling­ is involved in cell growth and differentiation.

Accordingly, the disregulation in the activation of STATs is associated with

malignant transformation [4]. Constitutive­ activation of STAT3 has been

reported in a variety of cancer­ cells such as breast carcinoma, lymphoma,

prostate cancer, and ovarian cancer cells. As STAT3 activation promotes­

tumorigenesis through its effects on cell proliferation, differentiation, and

anti-apoptosis [2,3,5], the STAT3 signaling­ pathway is a potential target for

tumor therapy. RNA interference (RNAi) is a relatively new technology that has been

used for sequence-specific gene silencing. It is mediated by short interfering

RNA (siRNA) molecules produced from long double-stranded RNA (dsRNA) by the

enzymatic activity of Dicer in cells. RNA interference can be experimentally

achieved by delivery of a synthetic dsRNA or a plasmid DNA vector containing

sequence coding­ for a small hairpin RNA (shRNA) [6].In the present study, we showed that vector expressing

STAT3-specific shRNA knocked down the expression of STAT3 in transfected CAOV3

ovarian cancer cells, and inhibited cell growth in vitro and in vivo,

which might be correlated with the down-regulation of Bcl-xL, cyclin D1, and c-myc,

and the up-regulation of the cleaved caspase 3 in these cells.

Materials and Methods

shRNA preparation and plasmid constructionThe pGenesil-1-GFP-U6 plasmid from Genesil Biotechnology (Wuhan,

China) was used for DNA vector-based shRNA construction. Based on the cDNA

sequence of STAT3 (GenBank accession No. NM_003150) and the shRNA designing

tool provided freely by Ambion at its website (http://www.ambion.com/techlib/misc/siRNA_finder.html),

we synthesized DNA templates encoding one STAT3-specific shRNA and one

scrambled missense control (Sangon Biological Engineering Technology and

Services, Shanghai, China). The sequences of oligonucleotides encoding STAT3

shRNA were: 5?gat­ccCATCTGCCTAGATCGGCTAttcaagacgT­AGCC­­­G­A­TCTAGGCAGATGttttttGTCGACA-3? (upper strand)

and 5?agcttgtcgacaaaaaaCATCT­GCC­T­AGATCGGCTAcgtcttgaaTAGCCGATCTAGGCAGA­TGG-3? (lower strand).

The sequences encoding the shRNA control were scrambled from the above STAT3

DNA: 5?gatccCTGCATAGACCTGC­TATCGttc­aa­g­a­cgCGATAGCAGGTCTATGCAGttttttGTCGACA-3? (upper strand),

and 5?agcttgt­cgacaaaaa­a­C­T­G­CATAG­ACCTGCTATCGcgtcttga­aCGATAGCAG­G­T­CTATGCAGG-3? (lower strand).

These sequences are short hairpin DNAs containing a sense strand of 19

nucleotides followed by a short spacer (TTCAAGACG) and six Ts that act as the

transcriptional stop signal. The oligonucleotide pairs were designed to form

artificial enzymatic overhangs for BamHI, SalI, or HindIII

at their terminals, and thus can be directly ligated into pGenesil-1-GFP-U6

after annealing. After ligation and transformation into bacteria, the positive colonies

were selected by antibiotic resistance. The correct sequences of the final DNA

preparations were confirmed by sequencing (Sangon).

Cell culture and transfection The human ovarian carcinoma cell line CAOV3 was purchased from the China

Center for Type Culture Collection (Wuhan, China) and maintained in Dulbecco’s

modified Eagle’s medium (DMEM) (Gibco Life Technologies, Paisley, UK)

supplemented with 10% fetal bovine serum (Gibco), 100 U/ml penicillin, and 100 mg/ml

streptomycin at 37 ?C in a 5% CO2 incubator. Cells were detached

with trypsin-EDTA solution. After washing, they were resuspended in fresh

medium and used for subsequent experiments. For transfection, the CAOV3 cells

were transfected with the plasmids with Lipofectamine reagent (Invitrogen,

Carlsbad, USA) according to the manufacturer’s instructions (in our system, the

percentage of cells transfected with siRNA was approximately 75%). In all of

the following experiments, whenever the shRNA plasmid transfected cells were used,

mock transfection without any DNA and negative control transfection with shRNA

missense control plasmid were always included as experimental controls.

Reverse transcription-polymerase chain reaction (RT-PCR)Total RNA was extracted from cells with Trizol reagent (Invitrogen)

72 h after transfection. Two micrograms of total RNA was subjected to reverse

transcription with an RT-PCR kit (Promega, Madison, USA). The primers (Sangon)

used for subsequent PCR amplifications were: STAT3, 5?-TTGCCAGTTGTGGTGATC-3? (forward) and 5?-CAGACCCAGAAGGAGAAGC-3? (reverse) for

amplification of a 318 bp product; c-myc, 5?-GGGCTTC­TC­A­G­AGGCTTGGC-3? (forward) and 5?-CGTCCTTGC­TCG­G­G­TGTTGTA-3? (reverse) for

amplification of a 341 bp product; and b-actin, 5?-ATGTTTGAGACCTTCAACAC-3? (forward) and 5?-CACGTCACACTTCATGATGG-3? (reverse) for

the amplification of a 491 bp product. Amplification conditions were 95 ?C for

5 min, then 30 cycles of 94 ?C for 30 s, 55 ?C for 30 s, and 72 ?C for 40 s,

followed by the 72 ?C extension for 3 min.

Cell proliferation assay The viability of CAOV3 cells was determined with a

3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium

inner salt (MTS) assay kit (Promega). Cells were plated in a 96-well cell

culture plate at the density of 10,000 cells/well, five wells/group, then

transfected as described above. Seventy-two hours after transfection, the novel

tetrazolium compound MTS was added to each well with culture medium and

incubated for 2 h. The absorbance of each well was measured at 490 nm with a

96-well plate reader (680 microplate reader; BioRad, Hercules, USA).

Anchorage-independent growth assayAnchorage-independent growth of tumor cells was assayed by their

ability to form colonies in agar plates. Forty-eight hours after transfection,

CAOV3 cells were trypsinized and suspended in DMEM with 0.3% agar at a density

of 600 cells/ml, and seeded into a 6-well plate at 1 ml/well, five wells/group.

After incubation in regular culture medium at 37 ?C with 5% CO2 for 2 weeks, the cells were stained with 0.3% crystal violet and

colonies larger than 100 mm in diameter were counted.

Determination of DNA fragmentation Apoptosis was assayed with a cell death detection enzyme-linked

immunosorbent assay kit (Roche Diagnostics, Lewes, UK) designed to detect

apoptosis-induced DNA fragmentation. The transfected cells were cultured for 3

d and the fragmented DNAs from these cells were measured according to the

manufacturer’s instructions.

Flow cytometry analysis Distribution of cells at different stages of the cell cycle was

analyzed by flow cytometry. Approximately 1?105 cells were fixed by PBS with 75% ethanol at 4

?C for 40 min, and incubated with 40 ng/ml propidium iodide (Sigma, St. Louis,

USA), 0.1 mg/ml RNase, and 0.1% Triton X-100, at room temperature for 40 min,

then analyzed by flow cytometry (Becton Dickinson Immunocytometry Systems, San

Jose, USA) for DNA contents.

Western blot analysisCells (5?105) were washed and lysed in 100 ml of lysis buffer [20 mM

HEPES (pH 7.3), 1% Triton X-100, 10% glycerol, 50 mM NaF, 0.1 mM EDTA, 10 mg/ml

phenylmethyl­sulphonyl fluoride, 1 mM Na3VO4, and 5 mg/ml leupeptin] on ice for 30 min. Lysates were centrifuged at

10,000 g at 4 ?C for 10 min. Approximately 15 ml or 40 mg of total

protein in the supernatant was subjected to SDS-PAGE and reacted with

anti-STAT3, anti-phosphorylated-STAT3 (p-STAT3; Ser727), anti-Bcl-xL,

anti-cleaved caspase 3 (Asp175), and anti-cyclin D1 antibodies (Cell Signaling

Technology, Beverly, USA). Anti-b-actin antibody from Santa Cruz Biotechnology

(Santa Cruz, USA) was used as the Western blot loading control.

Tumor growth in vivo The male nude mice (56-week-old) were maintained in a

temperature-controlled environment with free access to standard rodent chow and

water. Experiments were carried out in accordance with the ethical guidelines

of Guangzhou University of Traditional Chinese Medicine (Guangzhou, China).

Equal numbers of CAOV3 cells transfected with STAT3 or scrambled STAT3 were

collected by trypsinization 3 d after transfection. The cells were washed three

times with 1?PBS and resuspended in

0.1 ml saline solution. Each mouse was injected with 5?106 cells to form a tumor

xenograft and eight mice were used in each transfected group. Then STAT3 siRNA

or scrambled STAT3 vector diluted in saline were directly injected into the

tumors at a dose of 20 mg every 7 d. The tumor volumes were assessed once every week for a

total of 6 weeks by measuring the two perpendicular dimensions with a caliper

according to the formula: volume=(a?b2)/2,

where a is the larger and b is the smaller dimension of the

tumor.

Statistical analysis The data obtained were statistically evaluated using one-way ANOVA

followed by Bonferroni’s test. Differences in values with P<0.05 were

considered statistically significant.

Results

CAOV3 cells were transfected with DMEM

alone (mock), or the plasmid expressing STAT3 scrambled shRNA (scrambled

vector) or the plasmid expressing STAT3-targeted shRNA (STAT3 vector). At 72 h after

transfection, they were then harvested for the extraction of total RNA or

proteins, or subjected for further analysis on their growth capacities and

their apoptosis, as described in detail below.

Efficient knockdown of STAT3 by STAT3-specific shRNA The STAT3 mRNA levels in transfected cells were measured by

semi-quantitative RT-PCR, and the protein levels for STAT3 and p-STAT3 were

determined by Western blot analysis. As shown in Fig. 1(A), STAT3

mRNA expression was significantly suppressed in CAOV3 cells transfected with

the STAT3 shRNA expressing vector. Accordingly, the protein levels for both

STAT3 and its activated form, phosphorylated-STAT3 [Fig. 1(B)] were also

markedly reduced in the same cells. In mock transfection or the scrambled shRNA

control, cells showed no significant changes in the levels of STAT3 mRNA or

protein. In addition, as shown in Fig. 1(C), treatment of CAOV3 cells

with STAT3 shRNA caused a time-dependent inhibitory effect on STAT3 expression

in CAOV3 cells.

Inhibition of cancer cell proliferation by STAT3 knockdown To examine the effect of STAT3 knockdown on proliferation of CAOV3

cells, the MTS kit was used to measure proliferation status of the cells. Fig.

2 indicates that treatment of CAOV3 cells with STAT3-targeted shRNA

resulted in approximately 50% growth inhibition of CAOV3 cells, whereas no

significant inhibition was observed in the cells transfected with the STAT3

scrambled vector compared with the mock transfected cells.

Inhibition of anchorage-independent growth by STAT3 knockdown Anchorage-independent growth in 3-D agar gel is a measure of

cellular transformation, one of the main characteristics of cancer cells. When

transfected cells were plated into 3% agar plates and grown for 2 weeks, we

observed a significant decrease of approximately 62% in their ability to form

colonies for STAT3 knockdown CAOV3 cells compared with both controls,

indicating a reduced transforming ability (Fig. 3).

Induction of apoptosis by STAT3 knockdown Apoptosis induced by STAT3 shRNA in CAOV3 was examined by following

the kinetics of DNA fragmentation with a nucleosomal fragment detection

enzyme-linked immunosorbent assay kit. STAT3 knockdown significantly increased

DNA fragmentation compared with the controls [Fig. 4(A)]. DNA content

analysis by flow cytometry showed that STAT3 shRNA obviously increased the

fraction of cells at the sub-G1 phase of the cell cycle [Fig.

4 (B)]. In addition, cleaved caspase 3 was detected only in the cells

treated with STAT3 shRNA by Western blot analysis [Fig. 4(C)], but not

in any of the control cells.

Down-regulation of Bcl-xL, cyclin D1, and c-myc by STAT3

knockdown Previous studies have shown that constitutive activation of STAT3

induces the expression of Bcl-xL, cyclin D1, and c-myc, which might

contribute to tumorigenesis. We investigated the potential effects of STAT3

knockdown on these STAT3 downstream molecules. Western blot analysis detected

the specific bands for Bcl-xL and cyclin D1 individually in transfected CAOV3

cells. As shown in Fig. 5(A), the protein levels of Bcl-xL and cyclin D1

were significantly reduced in STAT3 knockdown CAOV3 cells. RT-PCR analysis

revealed that c-myc mRNA was also decreased [Fig. 5(B)] in the

same cells.

Inhibition of in vivo tumor growth by STAT3 knockdown To investigate the potential effect of STAT3 knockdown on the growth

of ovarian cancer cells in vivo, ovarian tumor xenografts were produced

in nude mice with STAT3 knockdown CAOV3 cells or the controls. Growth curves of

these xenografts over 6 weeks showed that the STAT3 shRNA group displayed a

significantly lower growth rate, only approximately 50% of that obtained from

the two control groups (Fig. 6).

Discussion

STAT3 exists in a latent form in the cytoplasm and can be activated

by a range of signaling pathways starting from the activation of many cell

surface receptors by tyrosine phosphorylation. This mechanism of STAT3

activation has been shown to be involved in the elevated levels of cell

proliferation, anti-apoptotic effects, and cell cycle progression in many

cancer cells [7]. STAT3 protein contains a tetramerization and a leucine zipper

domain at its N-terminus, a DNA-binding domain in the middle, and an SH2

transactivation domain at the C-terminus [8]. Upstream regulators of STATs,

such as Janus family tyrosine kinases (JAKs), steroid receptor co-activator

(Src) and epidermal growth factor (EGF), regulate STAT3 by phosphorylation at

Tyr705, which in turn results in the activation of a cascade of STAT3-mediated

signaling events [9]. Under physiological conditions, STAT3 activation is

transient and lasts from several minutes to several hours, so aberrantly

sustained activation of STAT3 could lead to uncontrolled growth and prolonged

survival often seen in cancer cells [10].

RNAi technology is widely used in gene therapy and as a research

tool for gene modulations because it allows the selective, transient knockdown

of targeted protein expression. In mammalian cells, RNAi can be triggered by

siRNAs that cause strong yet transient inhibition of the expression of specific

genes. This could be achieved by delivering a synthetic double-stranded siRNA

or a plasmid vector containing DNA sequence coding for an shRNA. Chemically

synthesized siRNAs can be delivered to the cytosol and directly combined with

RNAi silencing complex, resulting in effective suppression of gene expression.

However, such suppression is transient, as the oligos are easily degraded by

the host cell. The expression of shRNA from plasmid has some advantages as

shRNA plasmids can repeatedly transcribe similar dsRNA products and suppress

gene expression over a longer period of time. This plasmid vector-based

approach is also less expensive compared with the direct delivery of the

synthesized siRNA [11,12]. shRNA vectors have been shown to efficiently block

expression of specific proteins both in vitro and in vivo, and

these artificial shRNAs are transcribed from the U6 or H1 promoters in the

targeting vectors [13]. The effect of STAT3 knockdown in ovarian cancer has not been well

studied. Here, we showed that transfection into CAOV3 cells with STAT3 shRNA

vector dramatically inhibited the expression of STAT3 mRNA as well as protein,

and also decreased cell proliferation and anchorage-independent colony

formation. Combined analyses of DNA fragmentation, cell cycle progression by

flow cytometry, and cleaved caspase 3 expression by Western blot analysis

indicated that STAT3 knockdown induced apoptosis of CAOV3 cells. Importantly,

STAT3 shRNA also significantly suppressed tumor cell growth in vivo. Previous studies showed that constitutively activated STAT3 led to

up-regulation of its downstream molecules such as anti-apoptotic protein Bcl-2

and cell cycle regulators cyclin D1 and c-myc, all playing important

roles in oncogenesis [14,15]. Consistent with these reports, our study showed

that CAOV3 cells with STAT3 knockdown decreased their expression of Bcl-xL

protein, as well as the expression of cyclin D1 and c-myc [Fig. 5(A)].

This might imply that STAT3 plays a role in the regulation of these molecules

in ovarian cancer cells, and its knockdown results in growth inhibition and

induction of apoptosis. In summary, our study showed that knocking down STAT3 with shRNA

produced from pGenesil-1-GFP-U6 led to growth inhibition and apoptosis of CAOV3

cells in vitro and inhibition of tumor growth in vivo. Therefore,

it is tempting to speculate that STAT3 signaling might play a considerable role

in ovarian cancer, in addition to its known roles in many other cancers.

References

 1   Vernooij F, Heintz P, Witteveen E, van der

Graaf Y. The outcomes of ovarian cancer treatment are better when provided by

gynecologic oncologists and in specialized hospitals: a systematic review.

Gynecol Oncol 2007, 105: 801812

 2   Burke WM, Jin X, Lin HJ, Huang M, Liu R,

Reynolds RK, Lin J et al. Inhibition of constitutively active Stat3

suppresses growth of human ovarian and breast cancer cells. Oncogene 2001, 20:

79257934

 3  Silver DL, Naora H, Liu J, Cheng W, Montell

DJ. Activated signal transducer and activator of transcription (STAT) 3:

localization in focal adhesions and function in ovarian cancer cell motility.

Cancer Res 2004, 64: 35503558

 4   Bowman T, Garcia R, Turkson J, Jove R. STATs

in oncogenesis. Oncogene 2000, 19: 24742488

 5   Nefedova Y, Gabrilovich DI. Targeting of

Jak/STAT pathway in antigen presenting cells in cancer. Curr Cancer Drug

Targets 2007, 7: 7177

 6   Yu JY, DeRuiter SL, Turner DL. RNA

interference by expression of short-interfering RNAs and hairpin RNAs in

mammalian cells. Proc Natl Acad Sci USA 2002, 99: 60476052

 7   Germain D, Frank DA. Targeting the

cytoplasmic and nuclear functions of signal transducers and activators of transcription

3 for cancer therapy. Clin Cancer Res 2007, 13: 56655669

 8   Zhang X, Darnell JE Jr. Functional importance

of Stat3  tetramerization in activation of the a 2-macroglobulin

gene. J Biol Chem 2001, 276: 3357633581

 9   Germain D, Frank DA. Targeting the

cytoplasmic and nuclear functions of signal transducers and activators of

transcription 3 for cancer therapy. Clin Cancer Res 2007, 13: 56655669

10  Deng J, Grande F, Neamati N. Small molecule

inhibitors of Stat3 signaling pathway. Curr Cancer Drug Targets 2007, 7: 91107

11  Kim J, Kim H, Lee Y, Yang K, Byun S, Han K. A

simple and economical short-oligonucleotide-based approach to shRNA generation.

J Biochem Mol Biol 2006, 39: 329334

12  Amarzguioui M, Rossi JJ, Kim D. Approaches for

chemically synthesized siRNA and vector-mediated RNAi. FEBS Lett 2005, 579:

59745981

13  M?kinen PI, Koponen JK, K?rkk?inen AM, Malm

TM, Pulkkinen KH, Koistinaho J, Turunen MP et al. Stable RNA

interference: comparison of U6 and H1 promoters in endothelial cells and in

mouse brain. J Gene Med 2006, 8: 433441

14  Weerasinghe P, Garcia GE, Zhu Q, Yuan P, Feng

L, Mao L, Jing N et al. Inhibition of Stat3 activation and tumor growth

suppression of non-small cell lung cancer by G-quartet oligonucleotides. Int J

Oncol 2007, 31: 129136

15  Shah NG, Trivedi TI, Tankshali RA, Goswami JA,

Shah JS, Jetly DH, Kobawala TP et al. Molecular alterations in oral

carcinogenesis: significant risk predictors in malignant transformation and

tumor progression. Int J Biol Markers 2007, 22: 132143