BioMed Research International

Volume 2014 (2014), Article ID 648040, 12 pages

http://dx.doi.org/10.1155/2014/648040

Research Article

In Vitro and In Vivo Effects of Suppressor of Cytokine Signalling 7 Knockdown in Breast Cancer: The Influence on Cellular Response to Hepatocyte Growth Factor

Walid Sasi,¹ Lin Ye,² Wen G. Jiang,² Anup K. Sharma,¹ and Kefah Mokbel1,3

¹St. George’s University of London, London SW17 0RE, UK

²Cardiff University, Cardiff CF10 3XQ, UK

³The London Breast Institute, The Princess Grace Hospital, London W1U 5NY, UK

Received 25 February 2014; Accepted 30 June 2014; Published 4 August 2014

Academic Editor: Anne Hamburger

Copyright © 2014 Walid Sasi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

Purpose. Suppressor of cytokine signaling 7 (SOCS7) is a member of the SOCS family and is known to interact with phospholipase Cγ-1 (PLCγ-1), a key downstream mediator of the hepatocyte growth factor (HGF)/C-MET axis. Here, we report our observations of the effect of knocking down SOCS7 gene on the behaviour of breast cancer cells both in vitro and in vivo and to elucidate whether this involves HGF/C-MET pathway using the PLCγ-1 blocker U73122. Methods. MCF7 and MDA-MB-231 breast cancer cells were transfected with anti-SOCS7 ribozymal transgene, to create sublines with SOCS7 knockdown. The in vitro growth and migration of the cells were evaluated in basic conditions and with HGF and U73122 treatment using growth assays, scratch-wound, and electrical cell impedance sensing (ECIS) migration assays. MCF7 and MDA-MB-231 in vivo tumour xenograft growth were also studied. Results. Basal in vitro growth and migration of both cellular lines and the in vivo MCF7 xenograft growth were significantly enhanced with SOCS7 knockdown. In vitro HGF treatment has further influenced the growth and migration when SOCS7 gene was knocked-down in both cellular lines . PLCγ-1 pharmacological inhibition of the HGF/C-MET cascade during their in vitro growth and migration seemed to only occur when SOCS7 gene was knocked down. Conclusions. We report a unique regulatory role for SOCS7 in controlling the malignant behaviour of breast cancer lines MCF7 and MDA-MB-231 in vitro and the MCF7 tumour xenografts in vivo. We also report a regulatory role for SOCS7 during the in vitro HGF-induced growth and migration in these cells as HGF treatment and SOCS7 loss have synergistically enhanced these functions. This SOCS7 knockdown-attributed effect could be due to a precise anti-PLCγ-1 role.

1. Introduction

Suppressor of cytokine signalling 7 (SOCS7) is a member of the SOCS family which has been implicated in the regulation of many intracellular molecular mechanisms downstream of cytokine and growth factor receptors. Among these regulatory functions of the SOCS family is a variably characterised tumour suppressing role of some of its members. Only recently a tumour suppressing role was described for SOCS7 particularly in breast cancer [1], and this intriguing role is still under investigation.

Hepatocyte growth factor (HGF) is a multifunctional cytokine that elicits diverse responses in different cells and tissues. Much evidence now points to its drive of carcinogenesis and cancer invasion and metastasis. HGF and its receptor, C-MET, are both critical mediators of breast cancer progression, and, like in many other solid organ cancers, both HGF and C-MET are highly expressed in breast cancer [2–5]. HGF and C-MET expression correlates with mammary tumour pathology, showing lowest expression levels in normal tissue and benign hyperplasia while increasing in ductal carcinoma in situ and showing highest expression in invasive breast carcinomas [6]. High HGF and C-MET expression levels are now considered as independent prognostic indicators for poor patient survival [4, 7].

In addition to its predictive expression in human mammary tumours, HGF is a potent mammary tumour inducer in mice, as targeted expression of HGF in mouse mammary epithelium was found to lead to metastatic adenocarcinomas [8]. Further reports showed that HGF/C-MET downstream intermediate phospholipase Cγ-1 (PLCγ-1) overexpression was also observed in breast cancer [9], and specific PLCγ-1 inhibition was found to block breast cancer invasiveness [10].

Together these data support a role for HGF/C-MET/PLCγ-1 route as a direct mediator in breast cancer progression, thus making it a good target for therapeutic intervention.

Historically, the SOCS7 variant (NAP4) was found to directly interact with PLCγ-1, and other intermediates such as NcK and Ash through the SOCS7-SH2 domain [11].

NcK is a cytoplasmic receptor tyrosine kinase adaptor molecule [12, 13] which is involved in HGF/C-MET/PLCγ signalling [14, 15].

Further reports have illustrated these SOCS7-NcK interactions [16, 17] and a possible involvement of SOCS7 in cell cycle arrest and in initiating the p53 apoptotic pathway [16].

The mediator Grb2 (otherwise known as Ash) is also activated during the HGF/C-MET signalling leading to the activation of downstream MAPK pathway involved in the cellular proliferation and differentiation [18, 19] and can also be involved in cellular invasion and motility through activation of downstream FAK pathway [19]. SOCS7 can interact with Grb2 at this level [11, 17, 20].

SOCS7 can also directly interact with p85, the regulatory subunit of the HGF/C-MET downstream PI3K-AKT cascade [16, 21], and JAK-STAT regulation by SOCS7 is also possible, although not specifically reported in HGF/C-MET signalling. For instance, as both STAT3 and STAT5 can be activated downstream of HGF/C-MET through GAB1 [19], SOCS7 can inhibit JAK2-STAT3 [11, 17, 20, 22], is known to interact with STAT5 in vitro [23], and can alter the nuclear localisation of pSTAT5 [24, 25].

Taken together, the above reports suggest a possible multiregulatory involvement of SOCS7 in HGF/C-MET signalling. We here aimed to observe the effect of SOCS7 knockdown on the behaviour of breast cancer both in vitro and in vivo and to investigate whether SOCS7 knockdown in breast cancer cells MCF7 (ER +ve) and MDA-MB-231 (ER −ve) can affect their in vitro growth and migrational responses when treated with HGF.

We hypothesised that SOCS7 is a negative regulator of HGF effects, therefore predicting an additive effect of HGF treatment and SOCS7 knockdown. A series of functional assays were conducted in which we utilised HGF and the specific pharmacological blockade of PLCγ-1 by using the inhibitor U73122, to investigate whether SOCS7 regulates the HGF/C-MET/PLCγ-1 axis by interacting with PLCγ-1 as U73122 blockade of PLCγ-1 would mitigate the anti-PLC role of SOCS7. However, we did not intend to look into the molecular details of SOCS7 interactions within this axis.

2. Materials and Methods

2.1. Cell Lines

Human breast cancer cells MCF7 and MDA-MB-231 were purchased from the American Type Culture Collection (ATCC, Maryland, US) and maintained in Dulbecco’s modified Eagle’s medium supplemented with 10% foetal calf serum (PAA Laboratories Ltd., Somerset, UK), streptomycin and penicillin. The cells were incubated at 37°C, 5% CO₂ and 95% humidity.

2.2. HGF and U73122

HGF was purchased from Sigma-Aldrich (Poole, UK) and used in concentration of 40 ng/mL. PLCγ-1 inhibitor (U73122) was purchased from Calbiochem (Merck Chemicals Ltd., Nottingham, UK) and used in concentration of 200 nM/L. A single dose of both agents (HGF and U73122) was used to observe for occurrence of the effect(s) on the cellular in vitro functions rather than to quantify the magnitude of any possible effect. Targeting the PLCγ-1 isoform with siRNA is probably more specific than U73122, as the later has more pan anti-PLC function including other PLC isoforms. However, in the context of this study, we sought to observe the HGF stimulus effect through the HGF/C-MET/PLCγ-1 cascade. Therefore, U73122 was considered a reliable blocker of the PLCγ-1 activity, as other PLC isoforms are not known to be involved in this pathway.

2.3. RNA Preparation and RT-PCR

Two groups of primers were designed using Beacon Designer (PREMIER Biosoft International, Palo Alto, CA, USA). The first group was designed to amplify the coding sequence of SOCS7 gene (Table 1); and the second category was designed according to the secondary structure of SOCS7 gene transcript and was used to synthesize a hammerhead ribozyme for the gene silencing study (Table 2). Total RNA was extracted from cells using RNA extraction kit (AbGene Ltd., Surrey, England, UK) and its concentration quantified using a spectrophotometer (Wolf Laboratories, York, England, UK). cDNA was synthesized using a first strand synthesis with an oligodt primer (AbGene, Surrey, UK). The polymerase chain reaction (PCR) was performed with the following conditions: 5 min at 95°C and then 20 s at 94°C-25 s at 56°C, 50 sat 72°C for 36 cycles, and finally 72°C for 7 min. GAPDH was amplified and used as a house-keeping control. PCR products were then separated on 0.8% agarose gel, visualized under UV light, photographed using Unisave camera (Wolf Laboratories, York, England, UK) and documented with Photoshop software.

Table 1: Primers designed for amplifying the coding sequence of SOCS7.

Gene
Name of primer
Sequence of primers
Optimal annealing temperature

SOCS7 Set 1
SOCS7 ExF1
5′-ATGGTGTTCCGCAACGTG
55°C

SOCS7 R8
5′-ACCAGGAAAGAACCATCTG

SOCS7 Set 2
SOCS7 F2
5′-CCGAAAGTT CTACTACTATGAT
55°C

SOCS7 R8
5′-ACCAGGAAAGAACCATCTG

SOCS7 Set 3
SOCS7 F8
5′-CTCAAAGTGCCTTTTCTCC
55°C

SOCS7 R8
5′-ACCAGGAAAGAACCATCTG

SOCS7 Set 4
SOCS7 F8
5′-CTCAAAGTGCCTTTTCTCC
55°C

SOCS7 ExR1
5′-CTACGTGGAGGGTTCCACCTCTT

SOCS7 Set 5
SOCS7 F8
5′-CTCAAAGTGCCTTTTCTCC
55°C

SOCS7 ExR2
5′-CTACGTGGAGGGTTCCACCTCT

SOCS7 Set 6
SOCS7 F8
5′-CTCAAAGTGCCTTTTCTCC
55°C

SOCS7 ExR3
5′-CTACGTGGAGGGTTCCACCTC

SOCS7 Set 7
SOCS7 F8
5′-CTCAAAGTGCCTTTTCTCC
56°C

SOCS7 ExR4
5′-CTACGTGGAGGGTTCCACCT

SOCS7 Set 8
SOCS7 F8
5′-CTCAAAGTGCCTTTTCTCC
56°C

SOCS7 ExR5
5′-CTACGTGGAGGGTTCCACC

SOCS7 Set 9
SOCS7 F8
5′-CTCAAAGTGCCTTTTCTCC
55°C

SOCS7 ExR6
5′-CTACGTGGAGGGTTCCA

Table 2: Primers for synthesis of the SOCS7 ribozymes 1, 2, 3.

Ribozyme
Name of primer
Sequence of primers

SOCS7 ribozyme-1
SOCS7 RIB1F
5′-CTGCAGGCGGCTGGGGCTGCGGAGGGGGCGGCTGAGGAGCTGATGAGTCCGTGAGGA

SOCS7 RIB1R
5′-ACTAGTGGGGGTTGCTGCCCGTGTCCGTGTTTCGTCCTCACGGACT

SOCS7 ribozyme-2
SOCS7 RIB2F
5′-CTGCAGGGGGCGGCTGAGGAGCTGATGAGTCCGTGAGGA

SOCS7 RIB2R
5′-ACTAGTCGGTGGGGGTTGCTGCCCGTGTTTCGTCCTCACGGACT

SOCS7 ribozyme-3
SOCS7 RIB3F
5′-CTGCAGGTGCTGTGGGGGTTGGCTGTGCAGGCTGATGAGTCCGTGAGGA

SOCS7 RIB3R
5′-ACTAGTGCTCCCATCCGAGCAGCTGAATTTCGTCCTCACGGACT

2.4. Construction of Hammerhead Ribozyme Transgenes Targeting Human SOCS7 (hSOCS7)

To knockdown hSOCS7 gene (GenBank Accession: NM_014598.2), by using a hammerhead ribozyme transgene, we designed primers according to secondary structure of the gene generated by using Zuker’s RNA mFold programme, targeting at a specific GUC or AUC site (Table 2). We synthesised ribozymes with a Touchdown PCR procedure and cloned ribozymes into a mammalian expression pEF6/V5-His-TOPO plasmid vector (Invitrogen Ltd., Paisley, UK). SOCS7 ribozyme transgenes 1, 2, and 3 and control plasmid vectors were then transfected into studied cells, respectively, using electroporation. For electroporation, we utilized the Easy Jet Plus system (Flowgen, Staffordshire, UK), which passed a voltage of up to 310 volts across the cells to produce small perforations in the cell wall integrity, thus allowing passage of plasmid DNA across cell membranes to be integrated into the cells.

For a transfection, 3 pg of plasmid DNA was added to resuspended (−1 × 10~) cells and mixed. The mixture was left to stand at room temperature for 2 to 5 minutes. The mixture was then transferred into an electroporation cuvette (Euro Gentech, Southampton, UK) ready for electroporation. The cuvette was loaded into the electroporator and a pulse of electricity (250–310 volts, depending on cell types) was passed through the cuvette. The mixture was then immediately (within 10 seconds) transferred into 10 mL of prewarmed culture medium (must be within 30 seconds). This reaction was then cultured under the usual incubation conditions.

After 3-4 weeks selection with the antibiotic blasticidin (5 μg/mL), a stable cell line with the transgene was verified by using RT-PCR for the success of knockdown before being used in our experiments (Figure 1). This method has been extensively used and reported previously in our laboratory [22].

Figure 1: RT-PCR. Knocking down SOCS7 in MCF7 and MDA-MB-231. The top two panels show the absence of SOCS7 cDNA bands in cells transfected with SOCS7 ribozymes 1 and 2 vectors. GAPDH was used as an internal control in the bottom panel.

Six cellular sublines were established: SOCS7 knockdown cells ( and MDA-MB-), plasmid-only control cells ( and MDA-MB-), and the wild-type, and MDA-MB-. The knockdown and plasmid-control cells were always kept in a maintenance medium which contained 0.5 μg/mL blasticidin. Scrambled ribozyme controls were used to discount any changes to the gene expression profile that might result from the ribozymal delivery method. We compared cDNA bands from cells transfected with scrambled ribozyme control and untransfected cells and found no changes caused by ribozyme delivery.

2.5. In Vitro Cell Growth Assay

Cells suspension was added into 96-well plates [2500 cells in 100 μL HEPES (4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid) buffering medium per well]. For control wells, additional 100 μL of HEPES medium was added. Cells were allowed to adhere to plate surface prior to treatment. 100 μL of an HGF containing HEPES solution (40 ng/mL) was added to the HGF treatment wells. When the PLCγ-1 inhibitor U732122 (1 μM) was used, cells were treated for 15 minutes prior to the addition of HGF (40 ng/mL). These plates were incubated for 2 hours at 37°C before making the initial measurement (time point 0). Cells were fixed in 10% formaldehyde on the day of plating and daily for the subsequent 4 days. 0.5% crystal violet (w/v) was used to stain cells. Following washing with dH₂O twice and drying, the stained crystal violet was dissolved with 10% (v/v) acetic acid and the absorbance of the dissolved dye, corresponding to the number of viable cells, was determined at a wavelength of 540 nm using an ELx800 spectrophotometer (BIO-TEK, ELx800, Wolf Laboratories, York, England). Normalised cellular growth (proliferation) rate was determined by the equation: (Absorbance at Day 4/Absorbance at Day 0) × 100%, where Day 0 is the day of cell plating.

2.6. In Vitro Migration Scratch—Wounding Assay

Cells at a density of 35,000 cells/200 μL/well were seeded into 24-well plates and allowed to reach near confluence by incubation at 37°C for 24 hours, then scratched with a pipette tip to create wound size of approximately 200 μm, and washed twice in PBS to remove floating cells. When the PLCγ-1 inhibitor U732122 (1 μM) was used, cells were treated for 15 minutes prior to the addition of HGF (40 ng/mL). The cells were photographed at intervals using an inverted microscope; the sizes of the wounds were subsequently analysed with the TScratch software (ETH Zurich, 2008).

2.7. Electric Cell Substrate Impedance Sensing (ECIS) Assay

ECIS-1600R model (Applied Biophysics, Inc., Troy, NY) was used for migration modeling in wounding analysis [23]. 8W10E arrays were used. Each of the 8 wells contains ten circular 250 μm diameter active electrodes connected in parallel on a common gold pad. Each well has a substrate area of 0.8 cm² and a maximum volume of 600 μL. On average, with a confluent cell layer, approximately 500–1000 cells will be measured by the electrodes.

Following treating the array surface with a cysteine solution (10 mM), the arrays were incubated in a serum-free medium (± HGF ± U73122) for 1 hour. The same number of the respective cells (250,000 per well) was added to each well. When confluence was reached, the monolayer was electrically wounded at 6 V AC and 4000 KHz for 30 seconds. In vitro migration rate was determined using the method previously described [23].

2.8. In Vivo Growth Assay (for Assessment of In Vivo Development of Mammary Tumours)

Athymic nude mice (Nude CD-1) of 4–6 weeks old were purchased from Charles River Laboratories, Kent, UK, and maintained in filter-toped units. Animals planned for MCF7 cell inoculation were implanted with oestrogen pellets made of a mixture of 2 mg of E2 and 18 mg of cholesterol.

Breast cancer cells in culture flasks were first washed using sterile BSS and treated using EDTA-Trypsin buffer. After removing EDTA-Trypsin and washing, the single cell suspension was prepared using serum free medium which also contained 0.5 mg/mL Matrigel. The cell number in the suspension is 5 × 10⁶/mL. 100 μL of this cell suspension (containing 0.5 million cells) was injected subcutaneously at the left scapula area as previously described at our laboratory [26].

Four groups were included: MCF7 empty plasmid vector/control transfection (pEF6), MCF7 with SOCS7 gene knockdown (ΔSOCS7), MDA-MB-231 control transfection (pEF6), and MDA-MB-231 with SOCS7 gene knockdown (ΔSOCS7). Each tumour group included 6 athymic nude mice. Mice were weighed and tumour sizes measured twice weekly for 4 weeks. Mice with weight loss over 25% or tumour size larger than 1 cm in any dimension were terminated according to the UK Home Office and UKCCCR guidelines.

The volume of the xenograft tumour was determined using the formula:

At the conclusion of the experiment, animals were terminally anaesthetised; primary tumours were dissected, weighed and frozen at −80°C. Parts of the primary tumours were fixed for future histological examination. Factors such as tumour tissue oedema, necrosis, and the amount of connective tissue will be further studied following a detailed histological examination. This is in order to verify and confirm that the tumour volume results correlate with the lean tumour mass.

2.9. Statistical Analysis

Statistical analysis was performed using SPSS version 16. Normality of data was tested by K-S and Shapiro-Wilk tests, and homogeneity of variances was tested by Levene’s test. For normal data, ANOVA and post-hoc analysis was used for multiple comparisons, and two-tailed student -test for single two-sample comparisons. For nonnormally distributed data, Kruksall-Wallis analysis was used for multiple comparisons, and Mann-Whitney U test was used for single two-sample comparisons. Results of cell growth and ECIS assays were presented as mean ± SE of three independent experiments. RT-PCR and ECIS figures were taken from representative experiments.

3. Results

3.1. Verification of SOCS7 Gene Knockdown (Figure 1)

Due to the low expression of SOCS7 protein and the lack of a suitable antibody, we were unable to detect SOCS7 by immunoblot. However, SOCS7 gene knockdown in both MCF7 and MDA-MB-231 cells was confirmed at mRNA level using RT-PCR. Successful knockdown was achieved using the designed anti-SOCS7 ribozymes 1 and 2.

3.2. In Vitro Growth Assays (Tables 3 and 4; Figure 2)

Table 3: The in vitro growth of MCF7 cells as measured by spectrophotometric light absorbance at a wavelength of 540 nm. Values represent mean (SD).

Cell lines

Incubation medium
Serum free only

MCF7WT
Serum free only
0.86  (0.12)  vs. 0.54 (0.04)
0.037

MCF7pEF6
0.86  (0.12)  vs. 0.58 (0.1)
0.009

HGF

MCF7WT
HGF
1.3  (0.25)  vs. 0.9 (0.1)
0.005

MCF7pEF6
1.3  (0.25)  vs. 0.86 (0.1)
0.002

Pretreatment with U73122 then HGF

MCF7WT
Pretreatment with U73122 then HGF
0.85  (0.02)  vs. 0.74 (0.25)
0.4

MCF7pEF6
0.85  (0.02)  vs. 0.71 (0.17)
0.26

Cell lines
MCF7WT
MCF7pEF6

HGF

MCF7WT
Serum free only
0.9  (0.1)   vs. 0.54 (0.04)
  0.86  (0.1)  vs. 0.54 (0.04)

0.007 & 0.015

MCF7pEF6
0.9  (0.1)   vs. 0.58 (0.1)
0.86  (0.1)  vs. 0.58 (0.1)

0.015 & 0.03

1.3  (0.25)  vs. 0.86 (0.12)
0.002

Table 4: The in vitro growth of MDA-MB-231 cells as measured by spectrophotometric light absorbance at a wavelength of 540 nm. Values represent mean (SD).

Cell lines

Incubation medium
HGF

MDAWT
HGF
1.8  (0.04)  vs. 1.3 (0.1)
<0.001

MDApEF6
1.8  (0.04)  vs. 1.4 (0.02)
<0.001

Pretreatment with U73122 then HGF

MDAWT
Pretreatment with U73122 then HGF
1.3  (0.07)  vs. 1.2 (0.08)
0.49

MDApEF6
1.3 (0.07)  vs. 1.2 (0.14)
0.73

Cell lines
MDAWT
MDApEF6

HGF 

MDAWT
Serum free only
1.3  (0.1)  vs. 0.9 (0.1)
1.4  (0.02)  vs. 0.9 (0.1)

<0.001 (both)

MDApEF6
1.3  (0.1)  vs. 0.98 (0.05)
1.4  (0.02)  vs. 0.98 (0.05)

<0.001 (both)

1.8  (0.04)  vs. 1.3 (0.1)
<0.001

(a)

(b)

Figure 2: (a) MCF7 in vitro growth (96 hours). (b) MDA-MB-231 in vitro growth (96 hours).

At basic conditions and with SOCS7 knockdown, the MCF7 and MDA-MB-231 cellular in vitro growth appeared to be significantly more than the control and wild-type growth.

In addition, HGF has produced a significant influence on all MCF7 sublines. For instance, after 4 days of incubation, in vitro growth of HGF-stimulated cells was significantly larger than that of the unstimulated similar subline or (control) cells incubated for the same duration. This was also true with HGF-stimulated cells compared to unstimulated similar and wild-type cells. Additionally, cells treated with HGF have shown more growth than similar untreated cells.

cellular growth following HGF treatment was larger than that of HGF-treated wild-type and control cells. Pretreatment with the PLCγ-1 inhibitor (U73122) appeared to abolish this growth difference as cellular growth was no longer significantly larger than that of and cells when all three sublines were treated with HGF and U73122.

Treatment of cells with HGF and U73122 has resulted in abrogation of these HGF-induced growth effects in each subline, and in the case of , U73122 seemed to significantly block any HGF effect on their growth with HGF versus 0.85(0.02) with HGF and U73122; .

In the case of MDA-MB-231 cells, HGF has produced a significant influence on all their sublines. For instance, after 4 days of incubation, in vitro growth of HGF-stimulated MDA-MB- cells was significantly larger than that of a untreated similar subline or MDA-MB- (control) cells incubated for the same duration. This was also true with HGF-stimulated MDA-MB- cells compared to unstimulated similar and wild-type cells. Additionally, HGF-treated MDA-MB- cells have shown more growth than similar untreated cells.

MDA-MB- cellular growth with HGF was larger than the stimulated wild-type and control cells. As with MCF7 cells, adding U73122 has abrogated this HGF-mediated growth induction as MDA-MB- cellular growth was no longer significantly larger than that of MDA-MB- and MDA-MB- cells.

3.3. In Vitro Scratch-Wound Migration Assays (Tables 5 and 6, Figures 3 and 4)

Table 5: The in vitro migration of MCF7 as measured by relative wound area (%). Values represent Mean (SD).

Cell lines

Incubation medium
HGF

MCF7pEF6
HGF
31.9  (19.6)  vs. 54.7 (15.5)
0.019

Cell lines
MCF7pEF6

HGF

MCF7pEF6
Serum free only
54.7  (15.5)  vs. 73.4 (9.8)

0.028

31.9  (19.6)  vs. 50.6 (5.9)
0.045

Pretreatment with U73122 then HGF

MCF7pEF6
HGF
55.9  (17.2)  vs. 54.7 (15.5)

0.9

59.8  (20.3)  vs. 31.9 (19.6)
0.005

Table 6: The in vitro migration of MDA-MB-231 as measured by relative wound area (%). Values represent mean (SD).

Cell lines

Incubation medium
HGF

MDApEF6
HGF
34.9  (3.8)  vs. 58.5 (2)
0.01

Cell lines
MDApEF6

HGF

MDApEF6
Serum free only
58.5  (2)  vs. 80.2 (4.5)

0.017

34.9  (3.8)  vs. 54.3 (8)
0.017

Pretreatment with U73122 then HGF

MDApEF6
HGF
71.8  (4)  vs. 58.5 (2)

0.87

61.2  (16.2)  vs. 34.9 (3.8)
0.007

(a)

(b)

Figure 3: (a) MCF7 scratch wound assay—with HGF/U73122. (b) Relative scratch-wound width area (%) of the MCF7 monolayer.

(a)

(b)

Figure 4: (a) MDA-MB-231 scratch wounding assay—with HGF/U73122. (b) Relative scratch-wound width area (%) of the MDA-MB-231 monolayer.

At basic conditions and with SOCS7 knockdown, the MCF7 and MDA-MB-231 cellular in vitro migration appeared to be significantly more than the control and wild-type migration. With HGF treatment, stimulated migration was significantly better than that of stimulated cells. A positive synergistic influence of HGF on each subline was also noted. For instance, HGF-treated migration was better than that of the similar unstimulated subline, and HGF-treated migration was significantly better than that of the similar unstimulated subline. The pretreatment with U73122 has significantly blocked the stimulatory effect of HGF on migration but not that of the cells versus 31.9(19.6); and 55.9(17.2) versus 54.7(15.5); ,  .

With HGF treatment, stimulated MDA-MB- migration was significantly better than that of stimulated MDA-MB- cells. As with MCF7 cells, a positive synergistic influence of HGF on each subline was again noted. For instance, stimulated MDA-MB- migration was better than that of the similar untreated subline and stimulated MDA-MB- migration was significantly better than that of the similar untreated subline. The pretreatment with U73122 has significantly abrogated the stimulatory effect of HGF on MDA-MB- migration but not that of the MDA-MB- cells versus 34.87(3.8); and 71.8(4) versus 58.5(2); ,  .

3.4. In Vitro Electrical Cell Impedance Sensing (ECIS) Assays (Tables 7 and 8, Figures 5 and 6)

Table 7: The in vitro migration rate of MCF7 (m/hr). Values represent Mean (SD).

Cell lines

Incubation medium
HGF

MCF7pEF6
HGF
97  (18)  vs. 62.9 (19.3)
0.008

Cell lines
MCF7pEF6

HGF

MCF7pEF6
Serum free only
62.9  (19.3)  vs. 37 (17.6)

0.026

97  (18)  vs. 83.9 (37.5)
0.252

Pretreatment with U73122 then HGF

MCF7pEF6
HGF
46.9  (14.2)  vs. 62.9 (19.3)

0.184

60.3  (21.6)  vs. 97 (18)
0.005

Table 8: The in vitro migration rate of MDA-MB-231 (m/hr). Values represent Mean (SD).

Cell lines

Incubation medium
HGF

MDApEF6
HGF
222  (48.1)  vs. 104.2 (36.1)
<0.001

Cell lines
MDApEF6

HGF

MDApEF6
Serum free only
104.2  (36.1)  vs. 37.1 (2.6)

0.008

222  (48.1)  vs. 138.9 (13.9)
<0.001

Pretreatment with U73122 then HGF

MDApEF6
HGF
54.2  (10.2)  vs. 104.2 (36.1)

0.046

59.3  (58.8)  vs. 222 (48.1)
<0.001

(a)

(b)

Figure 5: (a) A representative ECIS wounding experiment to study in vitro migration rate of MCF7. ECIS time course following electrical wounding (6 V for 30 Sec). Wells: (1) (untreated); (2) (+HGF); (3) (+HGF/U73122); (4) (untreated); (5) (+HGF); and (6) (+HGF/U73122). (b) In vitro migration of MCF7 sublines with and without HGF.

(a)

(b)

Figure 6: (a) A representative ECIS wounding experiment to study in vitro migration rate of MDA-MB-231. ECIS time course following electrical wounding (6V for 30 Sec). Wells: (1) MDA-MB- (untreated); (2) MDA-MB- (+HGF/U73122); (3) MDA-MB- (+HGF); (4) MDA-MB- (+HGF/U73122); (5) MDA-MB- (+HGF); and (6) MDA-MB- (untreated). (b) In vitro migration of MDA-MB-231 sublines with and without HGF.

Unstimulated migration was significantly more than that of both unstimulated and unstimulated cells. HGF-treated migration was significantly more than that of treated control cells. Although the overall HGF effect on MCF7 cellular migration was stimulatory, the HGF effect was only significant enough in migration but not in . HGF-treated migration was significantly more than that of the similar untreated subline versus 37(17.6); , while HGF-treated migration was slightly but insignificantly more than that of similar untreated cells. The addition of U73122 has significantly limited the small stimulatory effect of HGF on migration but not that of the .

Similar to MCF7 cells, untreated (basal) MDA-MB- migration was significantly more than that of both untreated wild-type and control cells.

HGF-treated MDA-MB- migration was significantly more than that of treated MDA-MB- cells but there was also a positive influence of HGF on each subline. For instance, stimulated MDA-MB- migration was more than that of the similar un-stimulated cells and stimulated MDA-MB- migration was significantly more than that of the similar unstimulated cells. The addition of U73122 has significantly abrogated the stimulatory effect of HGF on the migration of both sublines of MDA-MB-231. For instance, the migration of MDA-MB- was significantly limited with HGF and U73122 pre-treatment compared to similar cells treated with HGF only versus 104.2(36.1); , and the migration of MDA-MB- was also significantly limited with HGF and U73122 pretreatment compared to similar cells treated with HGF only versus 222(48.1); .

3.5. In Vivo Growth of the Mammary Tumours (Tables 9 and 10, Figure 7)

Table 9: MCF7 in vivo growth analysis (two-way ANOVA). Dependent variable: tumour size (MCF7).

Source
Type III sum of squares
Df
Mean square

Sig.
Partial eta squared

Corrected model
27431.367a
19
1443.756
10.008
.000
.576

Intercept
90065.079
1
90065.079
624.337
.000
.817

Phenotype
4387.925
1
4387.925
30.417
.000
.178

Days
18976.157
9
2108.462
14.616
.000
.484

Phenotype * days
4067.285
9
451.921
3.133
.002
.168

Error
20196.016
140
144.257

Total
137692.463
160

Corrected total
47627.384
159

squared = .576 (adjusted squared = .518).

Table 10: MDA-MB-231 in vivo growth analysis (two-way ANOVA). Dependent variable: tumour size (MDA-MB-231).

Source
Type III sum of squares
Df
Mean square

Sig.
Partial eta squared

Corrected model
296442.407a
19
15602.232
2.219
.005
.257

Intercept
268539.086
1
268539.086
38.200
.000
.238

Phenotype
25879.501
1
25879.501
3.681
.057
.029

Days
246104.941
9
27344.993
3.890
.000
.223

Phenotype * days
20397.217
9
2266.357
.322
.966
.023

Error
857630.677
122
7029.760

Total
1444538.200
142

Corrected total
1154073.084
141

squared = .257 (adjusted squared = .141).

(a)

(b)

Figure 7: In vivo mammary tumour growth; (a) MCF7 tumours; (b) MDA-MB-231 tumours.

In the CD-1 athymic nude mice model, it was shown that tumour group grew at a significantly faster pace compared to the control () tumours. The difference of tumour size was seen from early time points (from 7 days onwards), and the overall difference between tumours and transfection control tumours were highly significant ( by two-way ANOVA).

In regards to MDA-MB-231 mammary tumours, there was no statistically significant overall difference in the growth of MDA-MB-231 tumours with SOCS7 knockdown compared to that of the transfection control group, even though it appears that the control group tumours have grown marginally bigger ( by two-way ANOVA).

4. Discussion

SOCS7, like other SOCS family members, is known to be expressed by MCF7 and MDA-MB-231 cells [27, 28]. Under basic conditions, several in vitro functions of MCF7 cells seem to be significantly affected with SOCS7 knockdown, namely, their growth and migration. Both in vitro growth and migration of MCF7 cell lines were enhanced with SOCS7 knockdown, as was their in vivo xenograft growth in the mouse model. This strongly suggests a critical role for SOCS7 in regulating these functions in MCF7 cells.

Data are less clear from MDA-MB-231 experiments. Although their in vitro growth was enhanced with the SOCS7 knockdown, this was not mirrored during in vivo growth studies. This is a reminder that in vitro conditions may not represent the true pathophysiological environment in the host body of the mouse model with all its growth factor and cytokine crosstalk which may have led to a functional redundancy of SOCS7 in these cells. Their in vitro migration, however, was enhanced by SOCS7 knockdown under basal conditions.

Recent studies suggested an influential role of SOCS7 in regulating cellular division through its involvement in the Septin-SOCS7-NcK axis. Cytoplasmic SOCS7 was found to be involved in binding and translocating the adaptor protein NcK to the nucleus to inhibit cellular division initiating cell cycle arrest, in response to conditions such as DNA damage [16]. NcK nuclear accumulation in turn leads to the activation of p53 and its linked pathways. Hence, the loss of SOCS7 can also be linked—through loss of p53 cascade activation—to increased cancer cell proliferation. This uncontrolled in vitro MCF7 and MDA-MB-231 growth with SOCS7 knockdown might therefore be the result of an unchecked cellular division owing to the loss of SOCS7-NcK and p53 regulatory role in cellular division.

In this study we hypothesised a regulatory role for SOCS7 in HGF/C-MET signalling in breast cancer based on its multiple interactions with intermediate molecules downstream of the C-MET receptor. The most important of these is the PLCγ-1 and NcK, both were reported to form a complex with the activated receptor [14], and our previous data showed a specific anti-PLCγ role for SOCS7 in IGF-I signalling [28]. The knockdown of SOCS7 would not have increased the C-MET or the PLCγ-1 expression as their expression in the wild-type MCF7 and MDA-MB-231 cells is already strong [29, 30].

Our observations here do indeed support this hypothesis in the in vitro environment. For instance, we observed that HGF has produced a positive influence on the growth of all MCF7 sublines (control and knockdown) but produced more significant influence on the cells compared to HGF-treated wild-type or control cells. These growth effects appeared to be affected by pretreatment with the PLCγ-1 inhibitor, U73122, as any significant HGF-induced growth difference between , control and wild-type cells has become negligible. Similar observations were seen during MDA-MB-231 in vitro growth assay. These observations may indicate that in addition to the expected HGF positive effect on the growth and proliferation of MCF7 and MDA-MB-231 cells in vitro, this effect was synergistically enhanced with the knockdown of SOCS7 gene, but as this growth difference between knockdown sublines and the control sublines became abrogated with U73122, this may indicate a specific role for SOCS7 in the HGF/PLCγ proliferation axis.

Using scratch-wound and ECIS assays, we observed that and MDA-MB- cells under the HGF stimulus had demonstrated a more enhanced migration than did stimulated control cells (). We also observed a rate of migration of cells slightly higher (but with no statistical significance) following HGF treatment than that of similar unstimulated cells and significantly higher than that of similar cells treated with HGF and U73122. MDA-MB- migration followed a very similar pattern with all differences statistically significant (). These migration data showed an additive influence of HGF treatment and SOCS7 knockdown on the in vitro migration of both breast cancer lines. They also showed that such additive influence due to SOCS7 knockdown was lost with U73122 treatment, which may point to a precise anti-PLCγ-1 role for SOCS7.

5. Conclusion

SOCS7 knockdown can result in increased MCF7 and MDA-MB-231 basal cellular growth and migration in vitro and can positively influence the growth of MCF7 in vivo tumour xenografts in nude athymic mice. This is suggestive of a tumour suppressive role for this molecule in MCF7 breast cancer cells. No similar growth results were shown from the MDA-MB-231 cellular in vivo growth observations. SOCS7 knockdown, however, has enhanced the MDA-MB-231 cellular migration.

We also postulate a significant involvement of SOCS7 in the HGF/PLCγ-1 regulation. SOCS7 loss has resulted in the amplification of HGF/C-MET growth and migrational signalling in the two studied breast cancer cell lines, but pharmacological blockade of PLCγ-1 enzymatic activity has mitigated this amplified signalling. This could mean that SOCS7 is involved very precisely in the regulation of PLCγ-1 function.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

References

W. Sasi, W. G. Jiang, A. Sharma, and K. Mokbel, “Higher expression levels of SOCS 1,3,4,7 are associated with earlier tumour stage and better clinical outcome in human breast cancer,” BMC Cancer, vol. 10, article 178, 2010.

P. C. Ma, M. S. Tretiakova, A. C. MacKinnon et al., “Expression and mutational analysis of MET in human solid cancers,” Genes Chromosomes and Cancer, vol. 47, no. 12, pp. 1025–1037, 2008.

E. Lengyel, D. Prechtel, J. H. Resau et al., “c-Met overexpression in node-positive breast cancer identifies patients with poor clinical outcome independent of Her2/neu,” International Journal of Cancer, vol. 113, no. 4, pp. 678–682, 2005.

G. Edakuni, E. Sasatomi, T. Satoh, O. Tokunaga, and K. Miyazaki, “Expression of the hepatocyte growth factor/c-Met pathway is increased at the cancer front in breast carcinoma,” Pathology International, vol. 51, no. 3, pp. 172–178, 2001.

A. B. Tuck, M. Park, E. E. Sterns, A. Boag, and B. E. Elliott, “Coexpression of hepatocyte growth factor and receptor (Met) in human breast carcinoma,” The American Journal of Pathology, vol. 148, no. 1, pp. 225–232, 1996.

L. Jin, A. Fuchs, S. J. Schnitt, et al., “Expression of scatter factor and c-met receptor in benign and malignant breast tissue,” Cancer, vol. 79, no. 4, pp. 749–760, 1997.

J. Yamashita, M. Ogawa, S. Yamashita et al., “Immunoreactive hepatocyte growth factor is a strong and independent predictor of recurrence and survival in human breast cancer,” Cancer Research, vol. 54, no. 7, pp. 1630–1633, 1994.

M. I. Gallego, B. Bierie, and L. Hennighausen, “Targeted expression of HGF/SF in mouse mammary epithelium leads to metastatic adenosquamous carcinomas through the activation of multiple signal transduction pathways,” Oncogene, vol. 22, no. 52, pp. 8498–8508, 2003.

C. L. Arteaga, M. D. Johnson, G. Todderud, R. J. Coffey, G. Carpenter, and D. L. Page, “Elevated content of the tyrosine kinase substrate phospholipase C-γ1 in primary human breast carcinomas,” Proceedings of the National Academy of Sciences of the United States of America, vol. 88, no. 23, pp. 10435–10439, 1991.

J. Kassis, J. Moellinger, H. Lo, N. M. Greenberg, H. Kim, and A. Wells, “A role for phospholipase C--mediated signaling in tumor cell invasion,” Clinical Cancer Research, vol. 5, no. 8, pp. 2251–2260, 1999.

K. Matuoka, H. Miki, K. Takahashi, and T. Takenawa, “A novel ligand for an SH3 domain of the adaptor protein Nck bears an SH2 domain and nuclear signaling motifs,” Biochemical and Biophysical Research Communications, vol. 239, no. 2, pp. 488–492, 1997.

R. Nishimura, W. Li, A. Kashishian et al., “Two signaling molecules share a phosphotyrosine-containing binding site in the platelet-derived growth factor receptor,” Molecular and Cellular Biology, vol. 13, no. 11, pp. 6889–6896, 1993.

M. Lettau, J. Pieper, and O. Janssen, “Nck adapter proteins: functional versatility in T cells,” Cell Communication and Signaling, vol. 7, article 1, 2009.

K. S. Kochhar and A. P. Iyer, “Hepatocyte growth factor induces activation of Nck and phospholipase C-γ in lung carcinoma cells,” Cancer Letters, vol. 104, no. 2, pp. 163–169, 1996.

M. Johnson, K. Kochhar, T. Nakamura, and A. Iyer, “Hepatocyte growth factor-induced signal transduction in two normal mouse epithelial cell lines,” Biochemistry and Molecular Biology International, vol. 36, no. 3, pp. 465–474, 1995.

B. E. Kremer, L. A. Adang, and I. G. Macara, “Septins regulate actin organization and cell-cycle arrest through nuclear accumulation of NCK mediated by SOCS7,” Cell, vol. 130, no. 5, pp. 837–850, 2007.

N. Martens, M. Wery, P. Wang et al., “The suppressor of cytokine signaling (SOCS)-7 interacts with the actin cytoskeleton through vinexin,” Experimental Cell Research, vol. 298, no. 1, pp. 239–248, 2004.

E. Y. Skolnik, A. Batzer, N. Li et al., “The function of GRB2 in linking the insulin receptor to Ras signaling pathways,” Science, vol. 260, no. 5116, pp. 1953–1955, 1993.

J. P. Eder, G. F. Vande Woude, S. A. Boerner, and P. M. Lorusso, “Novel therapeutic inhibitors of the c-Met signaling pathway in cancer,” Clinical Cancer Research, vol. 15, no. 7, pp. 2207–2214, 2009.

A. S. Banks, J. Li, L. McKeag et al., “Deletion of SOCS7 leads to enhanced insulin action and enlarged islets of Langerhans,” Journal of Clinical Investigation, vol. 115, no. 9, pp. 2462–2471, 2005.

D. L. Krebs, R. T. Uren, D. Metcalf et al., “SOCS-6 binds to insulin receptor substrate 4, and mice lacking the SOCS-6 gene exhibit mild growth retardation,” Molecular and Cellular Biology, vol. 22, no. 13, pp. 4567–4578, 2002.

D. Ge, A. C. Gao, Q. Zhang, S. Liu, Y. Xue, and Z. You, “LNCaP prostate cancer cells with autocrine interleukin-6 expression are resistant to IL-6-induced neuroendocrine differentiation due to increased expression of suppressors of cytokine signaling,” The Prostate, vol. 72, no. 12, pp. 1306–1316, 2012.

J. Knisz, A. Banks, L. McKeag, D. D. Metcalfe, P. B. Rothman, and J. M. Brown, “Loss of SOCS7 in mice results in severe cutaneous disease and increased mast cell activation,” Clinical Immunology, vol. 132, no. 2, pp. 277–284, 2009.

J. K. Howard and J. S. Flier, “Attenuation of leptin and insulin signaling by SOCS proteins,” Trends in Endocrinology and Metabolism, vol. 17, no. 9, pp. 365–371, 2006.

N. Martens, G. Uzan, M. Wery, R. Hooghe, E. L. Hooghe-Peters, and A. Gertler, “Suppressor of cytokine signaling 7 inhibits prolactin, growth hormone, and leptin signaling by interacting with STAT5 or STAT3 and attenuating their nuclear translocation,” Journal of Biological Chemistry, vol. 280, no. 14, pp. 13817–13823, 2005.

W. G. Jiang, G. Davies, T. A. Martin et al., “Targeting matrilysin and its impact on tumor growth in vivo: the potential implications in breast cancer therapy,” Clinical Cancer Research, vol. 11, no. 16, pp. 6012–6019, 2005.

M. K. Evans, C. Yu, A. Lohani et al., “Expression of SOCS1 and SOCS3 genes is differentially regulated in breast cancer cells in response to proinflammatory cytokine and growth factor signals,” Oncogene, vol. 26, no. 13, pp. 1941–1948, 2007.

W. Sasi, L. Ye, W. G. Jiang, K. Mokbel, and A. Sharma, “Observations on the effects of suppressor of cytokine signaling 7 (SOCS7) knockdown in breast cancer cells: their in vitro response to insulin like growth factor I (IGF-I),” Clinical and Translational Oncology, vol. 16, no. 5, pp. 476–487, 2014.

W. G. Jiang, D. Grimshaw, J. Lane et al., “A hammerhead ribozyme suppresses expression of hepatocyte growth factor/scatter factor receptor c-MET and reduces migration and invasiveness of breast cancer cells,” Clinical Cancer Research, vol. 7, no. 8, pp. 2555–2562, 2001.

L. Abalsamo, F. Spadaro, G. Bozzuto et al., “Inhibition of phosphatidylcholine-specific phospholipase C results in loss of mesenchymal traits in metastatic breast cancer cells,” Breast Cancer Research, vol. 14, no. 2, article R50, 2012.