Literature DB >> 28472820

Clinical value of R-spondins in triple-negative and metaplastic breast cancers.

F Coussy1, F Lallemand1, S Vacher1, A Schnitzler1, W Chemlali1, M Caly2, A Nicolas2, S Richon3, D Meseure2, R El Botty4, L De-Plater4, L Fuhrmann2, T Dubois5, S Roman-Roman6, V Dangles-Marie4,7, E Marangoni4, I Bièche1,8.   

Abstract

BACKGROUND: RSPO ligands, activators of the Wnt/β-catenin pathway, are overexpressed in different cancers. The objective of this study was to investigate the role of RSPOs in breast cancer (BC).
METHODS: Expression of RSPO and markers of various cancer pathways were measured in breast tumours and cell lines by qRT-PCR. The effect of RSPO on the Wnt/β-catenin pathway activity was determined by luciferase assay, western blotting, and qRT-PCR. The effect of RSPO2 inhibition on proliferation was determined by using RSPO2 siRNAs. The effect of IWR-1, an inhibitor of the Wnt/β-catenin pathway, was examined on the growth of an RSPO2-positive patient-derived xenograft (PDX) model of metaplastic triple-negative BC.
RESULTS: We detected RSPO2 and RSPO4 overexpression levels in BC, particularly in triple-negative BC (TNBC), metaplastic BC, and triple-negative cell lines. Various mechanisms could account for this overexpression: presence of fusion transcripts involving RSPO, and amplification or hypomethylation of RSPO genes. Patients with RSPO2-overexpressing tumours have a poorer metastasis-free survival (P=3.6 × 10-4). RSPO2 and RSPO4 stimulate Wnt/β-catenin pathway activity. Inhibition of RSPO expression in a TN cell line inhibits cell growth, and IWR-1 significantly inhibits the growth of an RSPO2-overexpressing PDX.
CONCLUSIONS: RSPO overexpression could therefore be a new prognostic biomarker and therapeutic target for TNBC.

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Year:  2017        PMID: 28472820      PMCID: PMC5518860          DOI: 10.1038/bjc.2017.131

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


Breast cancer (BC) is the leading cause of death by cancer in women (Jemal ). Fifteen percent of primary BC are triple-negative BC (TNBC) with lack of expression of oestrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (Morris ). The majority of TNBC are invasive ductal carcinomas, but metaplastic BC (MBC) constitutes a rare subtype (<1%). MBC is characterised morphologically by the differentiation of neoplastic epithelium into squamous cells and/or mesenchymal cells. MBC displays a fairly aggressive clinical behaviour, and unlike other forms of TNBC, these tumours do not appear to respond to conventional chemotherapy regimens (Hennessy ). Globally, women with TNBC or MBC have a poor prognosis, particularly due to the absence of targeted therapies (Aydiner ). The abnormally high activity of the canonical Wnt/β-catenin signalling pathway has a key role in the development of many cancers, such as colorectal cancer (CRC) and BC, particularly TNBC and MBC (Hayes ; MacDonald ; Bilir ; Cai ; Maubant ). In CRC, Wnt/β-catenin pathway activation is predominantly (90%) due to mutations of APC and CTNNB1 genes (coding for β-catenin) (Bienz and Clevers, 2000; Behrens and Lustig, 2004; Seshagiri ). However, anomalies of APC and CTNNB1 genes are rare in breast carcinogenesis (Cancer Genome Atlas Network, 2012). Identifying and understanding the mechanisms responsible for activation of the Wnt/β-catenin signal in BC are essential for the development of new biomarkers and therapeutic targets for this type of cancer, particularly TNBC. The family of RSPO secreted proteins comprises four members (RSPO1–4). RSPOs are physiologically involved in embryogenesis and are ligands for the leucine-rich repeat containing G protein-coupled receptors (LGRs) 4–6. These proteins synergise with Wnt ligands to activate the Wnt/β-catenin pathway by inducing stabilisation of FZD and LRP 5/6 (Jin and Yoon, 2012). Recently, a new mechanism of activation of the Wnt/β-catenin pathway has been identified in 10% of CRC: overexpression of RSPO2 and RSPO3 due to gene fusions resulting from deletions of about 150 kb in the chromosome region 8q23 and chromosome inversions in the region 6q22.3 (involving RSPO2 and RSPO3, respectively). These gene fusions lead to the formation of transcripts involving exon 1 of EIF3E and exon 2 of RSPO2 (EIF3E (exon1)-RSPO2 (exon2)) and transcripts involving either exon 1 or exon 7 of PTPRK and exon 2 of RSPO3 (PTPRK (exon1 or exon7)–RSPO3 (exon2)), resulting from overexpressed functional RSPO2 and RSPO3 proteins, respectively (Seshagiri ; Shinmura ). Expression of these RSPO fusion transcripts is mutually exclusive with APC and CTNNB1 mutations and could therefore explain activation of the Wnt/β-catenin pathway in the 10% of CRC that do not harbor any APC or CTNNB1 mutation. RSPO2 and RSPO3 genes were identified as Int, a common integration site of mouse mammary tumour virus (Callahan ), and RSPO2 overexpression in mouse mammary epithelial cells induces tumour growth (Klauzinska ). These results suggest that overexpression of RSPOs could have a crucial role in breast carcinogenesis. In the present study, we investigated the potential involvement of RSPO in breast carcinogenesis.

Materials and methods

Patients and samples

Samples from 446 unilateral invasive primary breast tumours excised from women, managed at Institut Curie (Saint-Cloud, France) between 1978 and 2008, and described in detail elsewhere (Meseure ) were analysed. Standard prognostic factors of this tumour set are presented in Supplementary Data (Supplementary Table S1). With a median follow-up of 8.9 years (range: 6 months to 29 years), 171 patients developed metastasis. Ten specimens of adjacent normal breast tissue from BC patients or normal breast tissue from women undergoing cosmetic breast surgery were used as sources of normal RNA. An additional set of 28 MBCs collected by Institut Curie was analysed by qRT–PCR: 16 were diagnosed as MBC with mesenchymal elements, 4 as MBC with squamous metaplasia, and 8 as spindle cell carcinoma (Weigelt ).

Cell lines

Thirty-two RNA samples from breast cell lines obtained from the American Type Culture Collection (ATCC, Manassas, VA, USA), including 16 triple-negative tumour cell lines, were analysed by qRT–PCR (Supplementary Table S2). The HBCc-15 cell line was established from the HBCx-15 TNBC patient tumour-derived xenograft (PDX). MDA-MB-468, MDA-MB-231, and HEK293 cells were purchased from ATCC. Fibroblast L cells producing Wnt-3a and L cells stably transfected with pGKneo plasmids were a generous gift from Dr Shinji Takada.

Real-time qRT–PCR

Total RNA extraction and RT–PCR have been described previously (Bieche ). qRT–PCR results, expressed as N-fold differences in RSPO and LGR (or genes of interest involved in various cancer pathways) gene expression relative to the TBP gene and called Ntarget, were determined as Ntarget=2ΔCtsample, where the ΔCt value of the sample was determined by subtracting the average Ct value of the target gene from the average Ct value of the TBP gene. Ntarget values of breast tumour samples were subsequently normalised so that the median Ntarget value for 10 normal breast tissues was equal to 1. Primers for fusion genes involving RSPO2 and RSPO3 described in the literature (Seshagiri ) and for TBP, RSPO1, RSPO4, and LGR4–6 genes were chosen with the assistance of the Oligo 6.0 software (National Biosciences, Plymouth, MN, USA) (Supplementary Table S3 and additional information on request; Bieche ). For the gene expression study in the breast tumour series, the 7 investigated genes (RSPO1–4 and LGR4–6) were differentially expressed in the 10 normal breast tissues analysed. The median Ct of normal breast tissues was equal to 30.5 for RSPO1, 27.8 for RSPO3, 28.6 for LGR4, and 31.4 for LGR6. mRNA levels of these four genes in breast tumours are expressed relative to the endogenous RNA control TBP, normalised on the basis of normal breast tissue expression (median Ntarget for normal breast tissues=1). Values ⩾3 were considered to represent overexpression. For the other 3 genes (RSPO2, RSPO4 and LGR5), absent (Ct>35) or low level (32breast tumour samples (Bieche ; Bieche ). For the gene expression study in breast cell lines and PDX, mRNA levels were normalised to obtain a ‘basal mRNA level’ (smallest amount of mRNA quantifiable (Ct=35)) equal to 1. Values ⩾5 were considered to represent high expression in breast tumour samples. For the TCGA analysis, mRNA expression (RNA sequencing), methylation, and copy number alteration data were downloaded (http://www.cbioportal.org/) for TCGA Breast Cancer (provisional cohort, n=1105; Cerami ; Gao ).

Western blotting

The methods are described in detail elsewhere (Lallemand ). In this study, we used the following antibodies: anti-GAPDH (sc-20357, Santa Cruz Biotechnology, Dallas, TX, USA) used as an internal control, polyclonal rabbit anti-phospho LRP6 (ser 1490, Cell Signaling Technology, Danvers, MA, USA), monoclonal rabbit anti-LRP6 (C5c7, Cell Signaling Technology), polyclonal rabbit active β-catenin (05665, Millipore, Billerica, MA, USA), and anti-β-catenin (sc-7199, Santa Cruz Biotechnology).

Conditioned medium

Conditioned medium containing Wnt3a (Wnt3a-CM) was prepared as previously described (Shibamoto ). To prepare RSPO2- or RSPO4-conditioned medium, 2 × 106 HEK293 cells were seeded in a 94-mm-diameter dishes. Twenty-four hours later, cells were transfected with the empty vector (PS100001, Origene, Rockville, MD, USA), myc-tagged RSPO2 expression vector (RC224177, Origene), or myc-tagged RSPO4 expression vector (RC224295, Origene). To study the effect of RSPO2/4 and Wnt3a on the Wnt/β-catenin pathway activity, cells were cultured overnight in medium containing 50% RSPO medium and/or 30% Wnt3a. The presence of myc-tagged RSPO in conditioned medium was verified by western blotting (Supplementary Figure S1).

Luciferase assays

The methods have been described in detail elsewhere (Lallemand ). Firefly luciferase activity was normalised to Renilla luciferase activity and expressed as mean±s.d. of triplicates from a representative experiment. Results are shown as fold induction of luciferase activity compared with control cells transfected with empty vectors alone.

Immunohistochemistry (IHC)

Paraffin sections of HBCx-15 (xenograft with RSPO2 overexpression) and HBCx-3 (xenograft without expression of RSPO) TNBC PDX were prepared as previously described (Landemaine ). Briefly, PDX blocks were deparaffinised, treated with 3% H2O2, and incubated without (negative control) or with goat polyclonal anti-RSPO2 antibody (Santa Cruz Biotechnology). Staining signals were revealed with the Leica bond biosystem (Leica Biosystems Newcastle Ltd, Newcastle-upon-Tyne, UK). Slides were counterstained with Mayer’s haematoxylin.

SiRNA inhibition

For siRNA inhibition and real-time monitoring of cell proliferation studies, BT549 cells were seeded at a density of 5000 cells per well in 96-well E-Plates (ACEA Biosciences, San Diego, CA, USA). The in vitro growth curve was characterised by using the xCELLigence system (Roche Inc., Bale, Swiss). Cell were transfected 24 h later with validated human RSPO2 siRNAs (reference SI04274760 and SI04303957) or negative control siRNA 1 (Qiagen, Hilden, Germany) at a final concentration of 30 nM in the presence of HiPerFect Transfection Reagent (Qiagen). All experiments were performed in quadruplicate, and normalised cell index values were calculated according to the manufacturer’s instructions.

In vivo assay in PDX

The HBCx-60 TNBC PDX was directly established from a metaplastic TNBC and was routinely passaged by subcutaneous engraftment into the interscapular fat pad in Crl:NU(Ico)-Foxn1nu nude mice (Charles River Laboratories, Wilmington, MA, USA), with protocol and animal housing in accordance with national regulations and international guidelines (Marangoni ). Female 8-week-old mice with 60–200 mm3 tumours were randomly assigned to the control or treated groups. Mice (at least 7 per group) were treated with 100 μl of 200 μm of IWR-1 (IO161, Sigma, St Louis, MO, USA) diluted in PBS by subcutaneous injection, 4 times per week, as previously described (Rognoni ). Tumour growth was evaluated measuring two perpendicular tumour diameters with a caliper twice a week. Individual tumour volumes were calculated: V=a × b2/2, where a is the largest diameter and b is the smallest diameter. For each tumour, volumes were expressed in relation to the initial volume as relative tumour volume (RTV).

Statistical analysis

Relationships between RSPO or LGR expression and clinical, histological, and laboratory parameters were estimated with Chi-square and Mann–Whitney tests. Metastasis-free survival (MFS) was determined as the interval between diagnosis and detection of the first metastasis. Survival distributions were estimated with the Kaplan–Meier method, and the significance of differences between survival rates was ascertained with the log-rank test. The Cox proportional hazards regression model was used to assess prognostic significance and the results are expressed as hazard ratios and 95% confidence intervals. Hierarchical clustering was performed with the GeneANOVA software (Didier ).

Results

Expression of RSPOs and LGRs in BC tumours, TNBC subtype, and BC cell lines

Pending the development of a reliable RSPO antibody (we tested three different commercial antibodies), the best way to study RSPO expression consists of mRNA assay. The difficulty of detecting the RSPO proteins by western blotting is a well-known problem in the literature (Seshagiri ; Chartier ). We first examined RSPO mRNA expression in a series of 446 breast tumours, including 68 TNBC. Overexpression of at least one RSPO gene was observed in 11.6% of BC and 55.8% of TNBC, mainly involving the RSPO4 gene (9.2% in the total population of BC and 42.6% in TNBC) and RSPO2 gene (2.7% in the total population of BC and 17.6% in TNBC; Table 1). In contrast, RSPO1 and RSPO3 were rarely overexpressed in BC (only 1.1% and 0.2%, respectively; Table 1). None of the 446 tumours overexpressed all RSPO at the same time. Interestingly, four TNBCs of our cohort were MBCs and all overexpressed at least one RSPO (one sample overexpressed RSPO2, two samples overexpressed RSPO4 and one overexpressed RSPO2 and RSPO4. To validate the very high prevalence of RSPO overexpression in MBC, we examined RSPO overexpression in a second cohort of 28 MBC. This study confirmed that RSPO2 was more often overexpressed in this specific subtype than in TNBC (46% vs 17.6% Table 1).
Table 1

Overexpression of RSPO and LGR in BC tumours and BC cell lines

OverexpressionRSPO1, n (%)RSPO2, n (%)RSPO3, n (%)RSPO4, n (%)Alla RSPO, n (%)LGR4, n (%)LGR5, n (%)LGR6, n (%)Alla LGR, n (%)
Patient tumour samples
Whole population (n=446)5 (1.1%)12 (2.7%)1 (0.2%)41 (9.2%)52 (11.6%)3 (0.6%)16 (3.6%)4 (0.9%)23 (5.1%)
TNBC subgroup (n=68)3 (4.4%)12 (17.6%)1 (1.5%)29 (42.6%)38 (55.8%)1 (1.5%)10 (14.7%)3 (4.4%)14 (20.6%)
Metaplastic cohort (n=28)0 (0%)13 (46%)0 (0%)12 (42.8%)18 (64%)0 (0%)9 (32.1%)0 (0%)9 (32.1%)
Cancer cell lines
Whole population (n=32)2 (6.2%)2 (6.2%)4 (12.5%)4 (12.5%)9 (28%)4 (12.5%)2 (6.2%)9 (28%)14 (43.8%)
TNBC subgroup (n=16)2 (12.5%)2 (12.5%)4 (25%)2 (12.5%)7 (43.7%)1 (6.3%)2 (12.5%)8 (50%)10 (62.5%)

Abbreviations: LGR=leucine-rich repeat containing G protein-coupled receptor; TNBC=triple-negtive breast cancer.

Overexpression of at least one RSPO gene.

Among the 32 BC cell lines, 9 (28%) overexpressed at least one gene of the RSPO family with a majority of TNBC cell lines (7 out of 16: 43.7% Table 1 and Supplementary Table S2) as observed for the tumour sample cohort. We also verified the expression of the RSPO receptors, LGR4, LGR5 and LGR6, in our series of 446 breast tumours and found that the majority of tumours expressed LGR4 (median Ct of 27.43) and, to a lesser extent, LGR5 and LGR6 (median Ct of 36.4 and 31.92, respectively; data not shown). Distributions of RSPO receptor expression are detailed in Table 1 and Supplementary Table S2 for breast tumours and cell lines, respectively.

Mechanisms underlying RSPO overexpression in BC

It has been observed that RSPO2 and RSPO3 overexpression in CRC is at least partly due to the presence of fusion transcripts (EIF3E (exon1)–RSPO2 (exon2), PTPRK (exon1)–RSPO3 (exon2), and PTPRK (exon7)–RSPO3 (exon2); Seshagiri ). In order to explain cases of RSPO2 and RSPO3 overexpression in BC cells, we therefore first looked for the presence for these fusion transcripts by qRT–PCR using specific primers (Supplementary Table S3). We identified fusion transcripts involving RSPO2 only in two TNBC cell lines: HBCc-15 and BT549, and in HBCx-15 TNBC PDX from which the HBCc-15 cell line was established (Figure 1A). The two different fusion transcripts EIF3E (exon1)–RSPO2 (exon2) and EIF3E (exon1)–RSPO2 (exon3) were found in both the HBCx-15 PDX and the derived HBCc-15 cell line (Figure 1A, left panel), and fusion transcript EIF3E (exon1)–RSPO2 (exon3) was found in the BT549 cell line (Figure 1A, right panel). The HBCc-15 and BT549 cell lines and the HBCx-15 PDX expressed the highest levels of RSPO2 transcripts (Supplementary Table S2 and data not shown).
Figure 1

Presence of functional RSPO fusion transcripts in BC cells. (A) Detection of EIF3E (exon1)-RSPO2 (exon2) and EIF3E (exon1)-RSPO2 (exon3) fusion transcripts (351 pb and 88 pb, respectively, see Supplementary Table S3) in HBCx-15 TNBC PDX and its derived HBCc-15 cell line and BT549 cell line. (B) Detection of RSPO2 protein in HBCx-15 TNBC PDX and HBCx-3 (negative control, TNBC PDX, which does not express RSPO2). HBCx-3 TNBC PDX (left panel) and HBCx-15 TNBC PDX (right panel) blocks were prepared and immunostained with anti-RSPO2 antibody. Magnification × 20 (top panels) and × 40 (bottom panels).

We confirmed RSPO2 expression by IHC in the HBCx-15 TNBC PDX, strongly suggesting that the fusion transcripts detected in this PDX are functional (Figure 1B). We did not detect any fusion transcript involving RSPO2 or RSPO3 in our series of 446 breast tumours. The presence of fusion transcripts therefore cannot explain the majority of the RSPO overexpression observed in BC. On the basis of TCGA data (http://www.cbioportal.org/, breast invasive carcinoma, TCGA provisional), another mechanism can be proposed, such as amplification or hypomethylation of RSPO genes, as, in the TCGA population, RSPO2 expression was correlated with RSPO2 gene amplification (P=8 × 10−5 for the total population and P=3 × 10−3 for the TN subtype) and RSPO4 expression was significantly correlated with RSPO4 gene hypomethylation (P=1.7 × 10−6 for the total population and P=8.2 × 10−4 for the TN subtype; Supplementary Figure S2).

Relationship between RSPO and LGR gene mRNA levels and clinical parameters

RSPO2 and RSPO4 overexpression levels were associated with high SBR histological grade (P=5.5 × 10−3 and P=2.4 × 10−3, respectively), negative hormonal receptor status (P<10−7 for ER and P=4.6 × 10−5 for PR and P<10−7 for ER and P=2.6 × 10−7 for PR, respectively), elevated Ki67 mRNA (P=2.7 × 10−2 and P=1.7 × 10−7, respectively), and TNBC subtype (P<10−7 and P=2.1 × 10−7, respectively) (Supplementary Tables S4 and S5). Results for LGR5 are detailed in Supplementary Table S6. These correlation tests cannot be performed for tumours overexpressing RSPO1, RSPO3 and LGR4 and LGR6 owing to the small number of overexpressing samples. These findings indicate that RSPO2 and RSPO4 overexpression levels are associated with aggressive characteristics of BC.

Relationship between RSPO gene mRNA level and MFS

A log-rank test was used to identify relationships between MFS and RSPO2 and RSPO4 mRNA levels. Patients with BC (Figure 2A) or TNBC (Figure 2B) overexpressing RSPO2 had significantly poorer MFS (P=3.6 × 10−4 and P=4.4 × 10−2, respectively). The prognostic significance of the parameters identified in univariate analysis (including histopathological grade, lymph node status, macroscopic tumour size, PR status; Supplementary Table S1) and RSPO2 expression status persisted (except for histopathological grade and PR status) in Cox multivariate regression analysis of MFS (Supplementary Table S7). These associations were not observed for RSPO4 (data not shown).
Figure 2

Relationship between (A) MFS curves for patients with RSPO2 overexpression in the total population. (B) MFS curves for patients with RSPO2 overexpression in patients with TNBC.

LGR5 overexpression was not associated with MFS in the BC population or the TNBC subpopulation (data not shown). Survival analysis cannot be performed for patients with tumours overexpressing RSPO1, RSPO3, LGR4, or LGR6 because of the very small sample sizes. Altogether, our results raise the hypothesis that RSPO overexpression, particularly RSPO2 overexpression, may have an important role in the development of TNBC and MBC.

Correlation between expression of RSPO and LGR genes and genes involved in various cancer pathways

The TNBC subgroup is characterised by EMT, stem cell traits, and a high level of Wnt/β-catenin pathway activity (Sarrio ; King ). In order to further investigate our hypothesis, we therefore studied the correlations between the levels of expression of RSPO and their LGR receptors and EMT markers (CDH1, VIM, ZEB1, ZEB2, SNAIL, SNAIL2, TWIST1), stem cell markers (ALDHA1A1, ALDHA1A3, CD133), and Wnt/β-catenin activity (AXIN2, DKK1, TCF4, LEF1, MMP7) in TNBC. By hierarchical clustering of the samples, the 7 RSPO/LGR gene expression signature dichotomised the 68 TNBC analysed into two subgroups: a high RSPO/LGR expression group (n=44) and a low RSPO/LGR expression group (n=24). Mann–Whitney test demonstrated positive correlations between RSPO/LGR expression levels and EMT markers (P=4.5 × 10−2 for VIM and P=4.7 × 10−3 for TWIST1), stem cell markers (P=4.5 × 10−3 for CD133 and P=1.6 × 10−2 for ALDHA1A1), and Wnt/β-catenin pathway activity (P=4.8 × 10−2 for AXIN2 and P=2.4 × 10−2 for MMP7) (Table 2). RSPO overexpression may therefore have a role in TNBC carcinogenesis via activation of various pathways, such as the Wnt/β-catenin pathway.
Table 2

Relationships between RSPO/LGR gene expression and gene expression levels of different pathways of carcinogenesis

GenesTNBC with high level of RSPO-LGR mRNA expression (n=44)TNBC with low level of RSPO-LGR mRNA expression (n=24)Pa
Stem cell pathway
CD1331.1 (0.02–7.9)0.2 (0.006–5.8)0.0045
ALDHA1A30.6 (0.1–11)0.4 (0.08–14.2)0.37
ALDHA1A10.1 (0.02–0.7)0.09 (0.1–0.6)0.016
EMT pathway
CDH10.6 (0.01–3)0.7 (0.047–5.4)0.13
VIM0.4 (0.15–2.1)0.3 (0.02–0.8)0.045
ZEB10.3 (0–1.2)0.3 (0–0.8)0.77
ZEB20.4 (0–1.9)0.3 (0–0.9)0.2
SNAIL1.7 (0–8.2)1.2 (0–13.1)0.54
SNAIL20.6 (0–11.4)0.5 (0–3.8)0.054
TWIST10.4 (0.05–3.8)0.2 (0.04–1)0.0047
WNT/β-catenin pathway
AXIN20.35 (0.07–3.6)0.2 (0.04–1.3)0.048
DKK15.5 (0–786)8.8 (2.6–358)0.97
TCF40.8 (0–3.6)0.6 (0–3)0.082
LEF10.3 (0–1.8)0.2 (0.02–0.6)0.32
MMP73.5 (0–58)0.8 (0.02–19)0.024

Abbreviations: EMT=epithelial–mesenchymal transition; LGR=leucine-rich repeat containing G protein-coupled receptor; TNBC=triple-negtive breast cancer.

Mann–Whitney test.

RSPO2 and RSPO4 stimulate the Wnt/β-catenin pathway in human TNBC cell lines

To determine whether RSPO2 and/or RSPO4 overexpression (the two RSPO genes most frequently overexpressed in BC) may stimulate the activity of the Wnt/β-catenin pathway in BC cells, we assessed the effect of RSPO2-, RSPO4-, and Wnt3a-conditioned media on the expression of active β-catenin and phosphorylated-LRP6 (phospho-LRP6), two well-known markers of Wnt/β-catenin activity, by western blotting in the MDA-MB-468 TNBC cell line, which does not express any RSPO. RSPO2 and RSPO4 strongly enhanced the effect of Wnt3a on phospho-LRP6 levels and, to a lesser extent, active β-catenin (Figure 3A). Similar results were obtained with a second TNBC breast cell line, MDA-MB-231 (Supplementary Figure S3).
Figure 3

(A) Effect of RSPO2, RSPO4 and/or Wnt3a on the expression of phosphorylated LRP (phospho-LRP) and active β-catenin. (B) Effect of RSPO2, RSPO4, and/or Wnt3a on Wnt/β-catenin transcriptional activity. (C) Effect of RSPO2, RSPO4, and/or Wnt3a on the expression of Axin2 and DKK1. CM: conditioning medium, W: Wnt3a, R2: RSPO2, R4: RSPO4, *: indicates P⩽0.05 vs control (CM: 0).

We then performed luciferase assays using TOPflash containing six TCF-binding elements as reported plasmid and found that RSPO2 and RSPO4 stimulated Wnt/β-catenin activity and potentiated the effect of Wnt3a on this signalling pathway in MDA-MB-468 cells (Figure 3B). We also found that RSPO2 and RSPO4 strongly enhanced the positive effect of Wnt3a on the levels of two Wnt/β-catenin pathway target genes, AXIN2 and DKK1, in the MDA-MB-468 cell line (Figure 3C). Altogether, our results strongly suggest that RSPO overexpression, particularly RSPO2 overexpression observed in BC, enhances breast carcinogenesis by activating the Wnt/β-catenin pathway.

Inhibition of RSPO2 expression inhibits proliferation of the BT549 TN breast cell line

Our previous findings suggested that inhibition of the biological function of RSPO2 in BC cells would inhibit their proliferation. To examine this hypothesis, we first determined the effect of inhibition of RSPO2 expression by using the siRNA approach on proliferation of the BT549 TN breast cell line, selected for its high level of RSPO2 expression. As expected, effective inhibition of endogenous RSPO2 expression by two different RSPO2-specific siRNA resulted in statistically significant inhibition of BT549 cell proliferation (P<0.001, Mann–Whitney test; Figure 4).
Figure 4

Effect of inhibition of RSPO2. (A) Inhibition of proliferation of BT549 cells by two siRNA of RSPO2. (B) Inhibition of mRNA expression determined by qRT–PCR: RSPO2 expression was decreased by siRSPO2-1 and siRSPO2-2 to 5% and 35%, respectively, vs CTL (control). *P<0,0001, Mann–Whitney test. (C) The Wnt/β-catenin inhibitor IWR-1 inhibits the growth of HBCx-60 RSPO2-overexpressing human TNBC PDX; ▪=IWR-1, ○=vehicle alone. Tumour growth was evaluated by plotting the mean RTV±s.d. per group over time after first treatment. *P<0.05, unpaired t-test.

The Wnt/β-catenin inhibitor, IWR-1, inhibits the growth of a human TNBC PDX overexpressing RSPO2

We then tested the effect of the Wnt/β-catenin pathway inhibitor, IWR-1, on the growth of a human TNBC PDX (HBCx-60) overexpressing RSPO2 (Ct=27.94). This PDX displays a metaplastic phenotype. Treatment by IWR-1 resulted in significant tumour growth inhibition and this effect persisted after 2 weeks (Figure 4C). Optimal tumour growth inhibition (TGI) of treated tumours vs controls was calculated as the ratio of the mean RTV in the treated group to the mean RTV in the control group at the same time. Treatment by IWR-1 resulted in a TGI of 23%. Untreated xenografts rapidly reached the ethical size limit within 12 days and mice had to be killed. Inhibition of Wnt/β-catenin pathway activity in this RSPO2-overexpressing breast tumour therefore induces tumour growth inhibition.

Discussion

This study of a series of breast tumours showed, for the first time, that the RSPO gene family is overexpressed in 11.6% of tumours, mainly in TNBC (55.8%) and MBC (64%). This overexpression mainly concerns RSPO2 (2.7% in BC, 17.6% in TNBC, and 46.4% in MBC) and RSPO4 (9.2% in BC, 42.6% in TNBC, and 42.8% in MBC). These observations led us to assume that overexpression of certain RSPOs could confer an advantage for the development of the breast tumour. Various studies have shown that RSPO2 and RSPO3 overexpression is due to the presence of gene fusions involving RSPO, EIF3E, and PTPRK genes in CRC and in malignant peripheral nerve sheath tumours (Seshagiri ; Watson ; Shinmura ). Other studies have indicated that other mechanisms may also be involved in RSPO overexpression in cancers (Robinson ; Gong ). In our study, only one case of RSPO2 overexpression in BC (in the HBCx-15 TNBC PDX and the derived HBCc-15 cell line) can be explained by the presence of fusion transcripts involving EIF3E but not PTPRK. The small number of fusion transcripts indicates that other mechanisms are also involved in RSPO overexpression in BC. RSPO2 is located on 8q23 near the c-MYC gene (8q24). c-MYC amplification is observed in many different cancers, particularly in 16% of cases of BC (TCGA, Cancer Genome Atlas Network, 2012). We observed a correlation between RSPO2 expression and amplification of this region in BC (TCGA data, http://www.cbioportal.org/), suggesting that RSPO2 overexpression in BC could be at least partly due to co-amplification with MYC. In this context, it is noteworthy that MYC and PVT1 synergise to increase the level of RSPO1 in BC (Sarver ). RSPO overexpression could also be due to hypomethylation. Although carcinogenesis involves various pathways of gene alterations driven by DNA methylation, several studies have implicated activation of gene expression via hypomethylation. Global genomic hypomethylation is found in many types of cancer, particularly in BC, and is associated with high metastatic risk and death (Cheishvili ). We observed a correlation between RSPO4 expression and RSPO4 hypomethylation in BC (TCGA data, http://www.cbioportal.org/). This mechanism could therefore be responsible for RSPO4 overexpression in BC. Patients with RSPO2-overexpressing TNBC have significantly poorer MFS than patients with TNBC not overexpressing this RSPO. It is not the case for RSPO4. Futhermore, the inhibition of RSPO2 expression in the BT549 TN cell line inhibits cell growth. These findings strongly suggest that RSPO overexpression, particularly RSPO2 overexpression, has an important role in the development of TNBC. These results suggest that overexpression of RSPO2 has specific effects on the development of breast tumours. The hypothesis that RSPO2 has specific function is supported by the fact that deficiency for RSPO2 in mice is postnatally lethal, indicating that this RSPO protein has functions that are non-redundant from the other RSPO members (Nam ). The role of RSPO in breast carcinogenesis is supported by the fact that RSPO2 and RSPO3 are overexpressed by mouse mammary tumour virus proviral insertions in mouse mammary tumours and that RSPO2 overexpression in mammary cell lines stimulates tumour growth (Callahan ; Klauzinska ). RSPO overexpression has also been found in CRC, pancreatic ductal adenocarcinoma, lung adenocarcinomas, prostate cancer, and malignant peripheral nerve sheath tumours, suggesting a crucial role of RSPO in the development of various cancers (Seshagiri ; Watson ; Gong ; Shinmura ; Ilmer ; Robinson ). Many experimental arguments and observations strongly suggest that the abnormally high activity of the Wnt/β-catenin pathway has a crucial role in the development of BC, specifically in TNBC, by stimulating EMT and stem cell growth (Lin ; Li ; Lindvall ; Yook ; Lehmann ; Xu ; Dey ). Furthermore, constitutive activation of the Wnt/β-catenin pathway induces mammary metaplastic carcinomas in mice (Teuliere ). However, the molecular mechanisms responsible for activation of the Wnt/β-catenin signalling pathway in BC have not been elucidated (Howe and Brown, 2004). Several reports suggest that hyperactivity of the Wnt/β-catenin pathway in this cancer could be due to aberrant expression levels of LRP6/5, FZD7, Wnt ligands, and Wnt inhibitors (King ). The APC and CTNNB1 mutations inducing β-catenin stabilisation observed in various type of cancer, such as CRC, are rare in BC. Our data raise the interesting hypothesis that RSPO2/4 overexpression could be one of the mechanisms responsible for activation of the Wnt/β-catenin pathway, thereby activating breast carcinogenesis. First, we found that the RSPO gene family is mainly overexpressed in TNBC. Second, a positive correlation was observed between RSPO/LGR expression and EMT markers, stem cell markers, and Wnt/β-catenin pathway activity in TNBC. Third, we demonstrated that RSPO2 and RSPO4 stimulate the activity of this signalling pathway in two different TN breast cell lines. Fourth, inhibition of the growth of the HBCx-60 RSPO2-overexpressing metaplastic TNBC PDX by IWR-1 strongly suggests that the positive effect of RSPO2 on breast tumour growth is dependent on its ability to stimulate the activity of the Wnt/β-catenin pathway. Our hypothesis that RSPO overexpression could stimulate breast carcinogenesis by inducing Wnt/β-catenin pathway activity is strongly supported by recent studies showing that inhibition of RSPO by specific antibodies attenuates β-catenin signalling and tumorigenesis in multiple cancer types (ovarian cancer for RSPO1, colon and pancreatic cancer for RSPO2, non-small lung cancer, colorectal and ovarian cancer for RSPO3; Chartier ).

Conclusion

Despite considerable progress in cancer research, the mortality rates of TNBC and MBC have remained unchanged over the past decade primarily due to the failure to identify specific targets. Responses to systemic chemotherapy, particularly for MBC, are suboptimal compared with patients with standard invasive ductal carcinoma and limited data are available concerning the optimal treatment modalities (Aydiner ). Our study supports the identification of RSPO overexpression as a new therapeutic target and an attractive predictive biomarker for the development of therapies targeting the Wnt/β-catenin signalling pathway, particularly in TNBC and the metaplastic subtype.
  49 in total

1.  GeneANOVA--gene expression analysis of variance.

Authors:  G Didier; P Brézellec; E Remy; A Hénaut
Journal:  Bioinformatics       Date:  2002-03       Impact factor: 6.937

2.  RSPO fusion transcripts in colorectal cancer in Japanese population.

Authors:  Kazuya Shinmura; Tomoaki Kahyo; Hisami Kato; Hisaki Igarashi; Shun Matsuura; Satoki Nakamura; Kiyotaka Kurachi; Toshio Nakamura; Hiroshi Ogawa; Kazuhito Funai; Masayuki Tanahashi; Hiroshi Niwa; Haruhiko Sugimura
Journal:  Mol Biol Rep       Date:  2014-05-22       Impact factor: 2.316

3.  Therapeutic Targeting of Tumor-Derived R-Spondin Attenuates β-Catenin Signaling and Tumorigenesis in Multiple Cancer Types.

Authors:  Cecile Chartier; Janak Raval; Fumiko Axelrod; Chris Bond; Jennifer Cain; Cristina Dee-Hoskins; Shirley Ma; Marcus M Fischer; Jalpa Shah; Jie Wei; May Ji; Andrew Lam; Michelle Stroud; Wan-Ching Yen; Pete Yeung; Belinda Cancilla; Gilbert O'Young; Min Wang; Ann M Kapoun; John Lewicki; Timothy Hoey; Austin Gurney
Journal:  Cancer Res       Date:  2015-12-30       Impact factor: 12.701

4.  Recurrent R-spondin fusions in colon cancer.

Authors:  Somasekar Seshagiri; Eric W Stawiski; Steffen Durinck; Zora Modrusan; Elaine E Storm; Caitlin B Conboy; Subhra Chaudhuri; Yinghui Guan; Vasantharajan Janakiraman; Bijay S Jaiswal; Joseph Guillory; Connie Ha; Gerrit J P Dijkgraaf; Jeremy Stinson; Florian Gnad; Melanie A Huntley; Jeremiah D Degenhardt; Peter M Haverty; Richard Bourgon; Weiru Wang; Hartmut Koeppen; Robert Gentleman; Timothy K Starr; Zemin Zhang; David A Largaespada; Thomas D Wu; Frederic J de Sauvage
Journal:  Nature       Date:  2012-08-30       Impact factor: 49.962

Review 5.  Wnt signaling and breast cancer.

Authors:  Louise R Howe; Anthony M C Brown
Journal:  Cancer Biol Ther       Date:  2004-01-14       Impact factor: 4.742

6.  Mouse R-spondin2 is required for apical ectodermal ridge maintenance in the hindlimb.

Authors:  Ju-Suk Nam; Emily Park; Taryn J Turcotte; Servando Palencia; Xiaoming Zhan; Jackie Lee; Kyuson Yun; Walter D Funk; Jeong Kyo Yoon
Journal:  Dev Biol       Date:  2007-08-17       Impact factor: 3.582

7.  Expression of dickkopf-1 and beta-catenin related to the prognosis of breast cancer patients with triple negative phenotype.

Authors:  Wen-Huan Xu; Zhe-Bin Liu; Chen Yang; Wenxin Qin; Zhi-Ming Shao
Journal:  PLoS One       Date:  2012-05-23       Impact factor: 3.240

8.  Kindlin-1 controls Wnt and TGF-β availability to regulate cutaneous stem cell proliferation.

Authors:  Emanuel Rognoni; Moritz Widmaier; Madis Jakobson; Raphael Ruppert; Siegfried Ussar; Despoina Katsougkri; Ralph T Böttcher; Joey E Lai-Cheong; Daniel B Rifkin; John A McGrath; Reinhard Fässler
Journal:  Nat Med       Date:  2014-03-30       Impact factor: 53.440

9.  Transcriptome analysis of Wnt3a-treated triple-negative breast cancer cells.

Authors:  Sylvie Maubant; Bruno Tesson; Virginie Maire; Mengliang Ye; Guillem Rigaill; David Gentien; Francisco Cruzalegui; Gordon C Tucker; Sergio Roman-Roman; Thierry Dubois
Journal:  PLoS One       Date:  2015-04-07       Impact factor: 3.240

10.  A common promoter hypomethylation signature in invasive breast, liver and prostate cancer cell lines reveals novel targets involved in cancer invasiveness.

Authors:  David Cheishvili; Barbara Stefanska; Cao Yi; Chen Chen Li; Patricia Yu; Ani Arakelian; Imrana Tanvir; Haseeb Ahmed Khan; Shafaat Rabbani; Moshe Szyf
Journal:  Oncotarget       Date:  2015-10-20
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  13 in total

1.  R-Spondins 2 and 3 Are Overexpressed in a Subset of Human Colon and Breast Cancers.

Authors:  Caitlin B Conboy; Germán L Vélez-Reyes; Susan K Rathe; Juan E Abrahante; Nuri A Temiz; Michael B Burns; Reuben S Harris; Timothy K Starr; David A Largaespada
Journal:  DNA Cell Biol       Date:  2020-12-15       Impact factor: 3.311

2.  Identification of Tumor Mutation Burden, Microsatellite Instability, and Somatic Copy Number Alteration Derived Nine Gene Signatures to Predict Clinical Outcomes in STAD.

Authors:  Chuanzhi Chen; Yi Chen; Xin Jin; Yongfeng Ding; Junjie Jiang; Haohao Wang; Yan Yang; Wu Lin; Xiangliu Chen; Yingying Huang; Lisong Teng
Journal:  Front Mol Biosci       Date:  2022-04-11

Review 3.  Wnt signaling in human and mouse breast cancer: Focusing on Wnt ligands, receptors and antagonists.

Authors:  Ping Yin; Wei Wang; Zhongbo Zhang; Yu Bai; Jian Gao; Chenghai Zhao
Journal:  Cancer Sci       Date:  2018-09-19       Impact factor: 6.716

4.  RSPO3 is a prognostic biomarker and mediator of invasiveness in prostate cancer.

Authors:  Aruz Mesci; Fabrice Lucien; Xiaoyong Huang; Eric H Wang; David Shin; Michelle Meringer; Christianne Hoey; Jessica Ray; Paul C Boutros; Hon S Leong; Stanley K Liu
Journal:  J Transl Med       Date:  2019-04-15       Impact factor: 5.531

5.  Regional perturbation of gene transcription is associated with intrachromosomal rearrangements and gene fusion transcripts in high grade ovarian cancer.

Authors:  Paul M Krzyzanowski; Fabrice Sircoulomb; Fouad Yousif; Josee Normand; Jose La Rose; Kyle E Francis; Fernando Suarez; Tim Beck; John D McPherson; Lincoln D Stein; Robert K Rottapel
Journal:  Sci Rep       Date:  2019-03-05       Impact factor: 4.379

6.  Understanding the role of the R-spondin 2-LGR4 system in tongue squamous cell carcinoma progression.

Authors:  Ahmed Al-Samadi; Tuula Salo
Journal:  EBioMedicine       Date:  2019-05-20       Impact factor: 8.143

Review 7.  Wnt signaling in breast cancer: biological mechanisms, challenges and opportunities.

Authors:  Xiufang Xu; Miaofeng Zhang; Faying Xu; Shaojie Jiang
Journal:  Mol Cancer       Date:  2020-11-24       Impact factor: 27.401

8.  The molecular underpinning of geminin-overexpressing triple-negative breast cancer cells homing specifically to lungs.

Authors:  Eman Sami; Danielle Bogan; Alfredo Molinolo; Jim Koziol; Wael M ElShamy
Journal:  Cancer Gene Ther       Date:  2021-03-15       Impact factor: 5.987

Review 9.  Aberrant WNT/CTNNB1 Signaling as a Therapeutic Target in Human Breast Cancer: Weighing the Evidence.

Authors:  Emma H van Schie; Renée van Amerongen
Journal:  Front Cell Dev Biol       Date:  2020-01-31

10.  Combination of PI3K and MEK inhibitors yields durable remission in PDX models of PIK3CA-mutated metaplastic breast cancers.

Authors:  F Coussy; R El Botty; M Lavigne; C Gu; L Fuhrmann; A Briaux; L de Koning; A Dahmani; E Montaudon; L Morisset; L Huguet; L Sourd; P Painsec; S Chateau-Joubert; T Larcher; S Vacher; S Melaabi; A Vincent Salomon; E Marangoni; I Bieche
Journal:  J Hematol Oncol       Date:  2020-02-22       Impact factor: 17.388

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