Overexpression of a set of genes, including WISP-1, common to pulmonary metastases of both mouse D122 Lewis lung carcinoma and B16-F10.9 melanoma cell lines

Abstract

Despite advances in the management of solid tumours, the development of metastases continues to be the most significant problem and cause of death for cancer patients. To define genetic determinants of pulmonary metastases, we have applied oligonucleotide microarrays to established murine models of highly metastatic D122 Lewis lung carcinoma and B16-F10.9 melanoma cell lines. These models are characterised by primary subcutaneous growth in C57BL/6J mice, a period of minimal residual disease and spontaneous pulmonary metastases. Microarray analysis defined seven genes, namely – arginase, brain natriuretic peptide (BNP), interleukin-1 alpha (IL-1 alpha), plasminogen activator inhibitor-2 (PAI-2), surfactant protein C (SP-C), uteroglobin (UG) and wnt-1-induced secreted protein-1 (WISP-1), which were consistently elevated in pulmonary metastases compared to the primary tumour of both D122 and B16-F10.9 models. Previous studies demonstrated that two of these seven genes, IL-1 alpha and PAI-2, are involved in the metastatic process. The results obtained by the microarrays were confirmed by real-time quantitative PCR, for three chosen genes – PAI-2, WISP-1 and UG. Our approach aimed to identify genes essential for the metastatic process in general and for pulmonary metastases specifically. Further research should address the precise role of these genes in the metastasising process to the lungs and test if they could be used as targets for future therapies.

A crucial event during cancer progression is the switch from a locally growing tumour to a metastatic one. Tumour development and metastasis are complex processes that include transformation, proliferation, resistance to apoptosis, invasion, neovascularisation and metastatic spread (Liotta et al, 1991). Studies to identify molecules involved in tumour development and progression have resulted in the identification of a number of individual candidates that function as cell growth factors (Grandis et al, 1998), adhesion molecules (Van Waes et al, 1991, 1995), proteases (Andreasen et al, 2000), and cytokines that promote inflammation and angiogenesis (Chen et al, 1998, 1999).

The discovery of these molecules may be useful in developing new therapeutic interventions. For instance, synthetic Arg-Gly-Asp (RGD) containing peptides can disrupt integrin function (e.g., vitronectin receptor) and successfully inhibit both in vitro and in vivo melanoma cell invasion (Gehlsen et al, 1988).

Metastasis is a multiple-step process in which cancer cells leave the primary tumour site and relocate in a remote organ. This process involves interactions between cancer cells and their surrounding microenvironment. Tumours that metastasise do so to preferred target organs. To explain this apparent specificity, over 100 years ago, Paget formulated his ‘seed and soil’ hypothesis; that is, cells from a given tumour would ‘seed’ only favourable ‘soil’ in a target organ, one that supports colonisation for metastasis to occur.

Several studies used an in vivo selection scheme to select highly metastatic cell lines (Clark et al, 2000; Chen et al, 2001; Khanna et al, 2001). By analysing these cells on microarrays, gene expression patterns that correlate with progression to a metastatic phenotype have been defined. Clark et al (2000) have shown that the small GTPase RhoC enhances metastasis when overexpressed, whereas a dominant-negative Rho inhibits metastasis. Analysis of the phenotype of cells expressing dominant-negative Rho or RhoC indicates that RhoC is important in tumour cell invasion. The process of selecting highly metastatic cell lines, as done by Clark et al (2000), resulted in a large number of genes related solely to metastasis, but not to the microenvironmental changes in the preferred target organs.

To provide insight into mechanisms that allow tumours to metastasise specifically to the lungs, we searched for the genes coordinately overexpressed in pulmonary metastases of two distinct metastatic cell lines of different embryonic origin. The cell lines we used were the highly metastatic mouse D122 Lewis lung carcinoma and B16-F10.9 melanoma. We hypothesised that genes overexpressed in pulmonary metastases of both cell lines, might play a key role in both metastasis and homing of the metastasising cells, specifically to the lungs.

MATERIALS AND METHODS

Mice and cell cultures

Ten inbred male and female C57BL/6J mice, 12 weeks old, were grown and maintained in the animal facilities of the Weizmann Institute of Science and Tel-Aviv University. All animal experiments have been carried out with ethical committee approval. The ethical guidelines that were followed meet the standards required by the UKCCCR guidelines (Workman et al, 1998).

The highly metastatic D122 clone of the C57BL/6-derived Lewis lung carcinoma (Eisenbach et al, 1983) was maintained in DMEM supplemented with 10% heat-inactivated fetal calf serum, glutamine, combined antibiotics, sodium pyruvate and nonessential amino acids. The highly metastatic B16-F10.9 clone of the C57BL/6-derived malignant melanoma (Porgador et al, 1989) was grown in DMEM supplemented with 10% heat-inactivated fetal calf serum, glutamine and combined antibiotics.

The mice were divided into four groups. Groups 1 and 2, consisting of three mice each, male and female, respectively, were injected intra-footpad with 2 × 10⁵ D122 or B16-F10.9 cells/mouse, respectively. Groups 3 and 4, consisting of two mice each, male and female, respectively, served as a control. After 5 weeks, when primary tumours reached ∼0.8 cm in diameter, animals were anaesthetized and tumours were dissected and stored at −80°C. After an additional 4 weeks, lungs containing pulmonary metastases were dissected. The lungs of the mice in the control groups were dissected at the matching age. All specimens were snap-frozen in liquid nitrogen.

Preparation of labelled cRNA

Probe preparation was performed as recommended by the manufacturer of the microarrays (Affymetrix, 1998). Briefly, total RNA was isolated from pooled primary tumours and pooled lungs by homogenisation in ice-cold Trizol (Invitrogen). The RNA was then used as template for double-stranded cDNA synthesis with an oligo(dT)₂₄ primer containing a T7 RNA polymerase promoter site added to the 3′ end (Genset, La Jolla, CA, USA). The cDNA was extracted with phenol/chloroform, ethanol-precipitated, and used as a template for in vitro transcription (Ambion T7 Megascript system) with biotin-labelled nucleotides (Enzo Diagnostics). Labelled cRNA was fragmented and a hybridisation mix was generated as recommended (Affymetrix, 1998).

Hybridisation of microarrays

Aliquots of each sample (10 μg cRNA in 200 μl hybridisation mix) were hybridised to a Genechip Hugene FL array. After hybridisation, each array was washed, stained with streptavidin phycoerythrin (Molecular Probes), washed again, hybridised with biotin labelled antistreptavidin phycoerythrin antibodies, restained with streptavidin phycoerythrin (Molecular Probes), and scanned (Hewlett-Packard, GeneArray scanner G2500A).

Analysis of Genechip data

Scanned output files were visually inspected for hybridisation artefacts and then analysed using Genechip® 4.0 software (Affymetrix). Arrays were scaled to an average intensity of 600 per gene and analysed independently. The expression value for each gene was determined by calculating the average of differences (perfect match intensity minus mismatch intensity) of the probe pairs in use for this gene. The expression analysis files created by Genechip® 4.0 software were then transferred to a database (Microsoft Access) linked to Internet genome databases (e.g. NHLBI, Swiss Prot and GeneCards) to update gene definitions. A value of 20 was assigned to all measurements lower than 20. We did not include in the analysis genes that did not have at least one average difference intensity value ⩾100 which was defined as ‘present’ call by Affymetrix criteria. For cluster analysis, we used CLUSTER and TREEVIEW programs described by Eisen et al (1998). Fold ratios were calculated for each primary tumour against the pulmonary metastases of the same model and for the pulmonary metastases against the normal lung of the same gender. To ensure that the enhanced expression of genes in the pulmonary metastases was not due solely to the influence of the microenvironment, we removed genes with a higher level of expression in the normal murine lung compared to the pulmonary metastases. This criterion filtered 55, 78 and 91% of the genes that were otherwise considered as overexpressed in the D122, B16-F10.9 and both models, respectively.

Real-time quantitative PCR analysis

Relative quantitative PCR was performed using the LightCycler System® (Roche Diagnostics). An aliquot of 6 μg of the previously extracted total RNA was reverse transcribed using Moloney Murine Leukemia Virus-Reverse Transcriptase (RT) and random hexamers as primer (Promega). The obtained cDNA was diluted 1/10 with water and 5 μl was used for amplification. The PCR was performed with the LightCycler FastStart DNA SYBR GreenI Kit (Roche Diagnostics) according to the protocol provided in the kit. To control for specificity of the amplification products, a melting curve analysis was performed. No amplification of unspecific products was observed. In addition, PCR products were gel separated to confirm a band of the expected size.

The relative initial amount of cDNA of a particular template in the cDNA mixture was extrapolated from a standard curve. The standards, composed of five serial dilutions of one of the cDNAs, ranging from 1/5 to 1/1000 of the original cDNA, were run in parallel with the samples under identical PCR conditions, amplified with the same set of primers. The slope of the standard curve was converted to the amplification efficiency E by the following algorithm: E=10^−1/slope. The primers used for all four genes – PAI-2, RhoC, WISP-1 and UG had an efficiency >1.85 (data not shown). The relative amounts obtained were normalised by the housekeeping gene beta-actin, whose levels of expression were not changed significantly according to the microarrays (data not shown). The detailed procedure for quantification has been described by Ginzinger (2002).

The primer sequences were (5′ to 3′):

beta-actin – CTGAGAGGGAAATCGTGCG, GGTGGTACCACCAGACAAC;

PAI-2 – CTGCTACCCGAAGGTTCTG, GGAAGCAACAGGAGCATGC;

RhoC – GCTGGGCAAGAAGACTACG, CCTTCCTCAGATCGAACCG;

WISP-1 – CGTGGAGCAACGGTATGAG, GAGAGTGAAGTTCGTGGCC;

UG – CATGCTGTCCATCTGCTGC, CTCTTGTGGGAGGGTATCC.

RESULTS

Global analysis of gene expression

Global analysis of gene expression reveals a correlation between the primary tumour of each model, D122 or B16-F10.9, to its matching pulmonary metastases. In other words, as expected, the diversity between the two models is greater than the diversity between the primary tumour and the pulmonary metastases of the same model. Only genes with at least one average difference intensity value ⩾100, which are defined as ‘present’ by Affymetrix criteria, were included in the cluster analysis (Figure 1).

Figure 1.

Dendrogram of cluster analysis of microarrays. CL, normal male murine lung – Control for the D122 Lewis lung model; CM, normal female murine lung – control for the B16-F10.9 melanoma model; ML – pulmonary metastases of the D122 Lewis lung model; PL – primary tumour of the D122 Lewis lung model; MM – pulmonary metastases of the B16-F10.9 melanoma model; PM – primary tumour of the B 16-F10.9 melanoma model.

Oligonucleotide microarray analysis

The tumour model described above was used with the highly metastatic mouse D122 Lewis lung carcinoma and B16-F10.9 melanoma cell lines. Microarray experiments examined differences in gene expressions between the subcutaneous primary tumour and the pulmonary metastases. We focus on the genes that were overexpressed in the pulmonary metastases compared to the primary tumour, since we assume that transcripts overexpressed in metastatic tissue have applicable diagnostic and therapeutic potential. Forty-two and 16 genes were overexpressed in pulmonary metastases derived from the mouse D122 and B16-F10.9 cell lines, respectively (Tables 1a and b ). Seven genes, namely – arginase, brain natriuretic peptide (BNP), interleukin-1 alpha (IL-1 alpha), plasminogen activator inhibitor-2 (PAI-2), surfactant protein C (SP-C), uteroglobin (UG) and wnt-1-induced secreted protein-1 (WISP-1), were overexpressed in pulmonary metastases of both cell lines (Table 2 ).

Table 1. Functional groups of genes that were overexpressed, at a fold ⩾2.5, in pulmonary metastases compared to primary tumour in the (a) D122 model and (b) B16-F10.9 model.

Description	GenBank accession #	Fold ratio
(a) D122 model
Apoptosis
Caspase 3a	U54803	2.9
miap-3	U88990	3.0
MIHA	U36842	7.1
Cell adhesion
Integrin alpha V (Cd51)a	U14135	2.9
Islr	AB024538	5.2
Lymphocyte antigen 84a	Y07519	2.6
Cellular matrix
Actin, alpha 1	M12347	5.5
histone H2a(A)-613, H2a(B)-613 and H2b-613 (H2b)	U62673	4.1
Differentiation
H19	X58196	3.0
Madr2	U60530	2.7
ECM/angiogenesis
Collagen type VI, alpha 3 subunit	AF064749	9.7
Enamelin	U82698	10.1
Fibronectin	M18194	4.5
Matrilin-2 precursora	U69262	4.0
Procollagen type X, alpha 1	X67348	3.8
Membrane and nuclear membrane
YE1/48	M25775	3.1
Metabolism
Acetyl coenzyme A dehydrogenase, long-chaina	U21489	2.6
AKR1C13	AB027125	9.7
Ferrochelatase	M61215	3.0
griPGHSa	M88242	6.3
Pex	U75646	4.4
Receptors/ligands
Bacteria binding macrophage receptor MARCO	U18424	7.4
GRIP1	U39060	6.4
MIP2	X53798	7.9
Signal transduction
Mess1a	U28726	14.5
MPA	X60664	2.5
WSB-2	AF033188	2.6
Transcription
mafFa	AB009694	10.9
Slug, chicken homologue	U79550	2.5
zinc finger gene OZFa	AJ224763	5.8
Translation
N-myristoyltransferase 2a	AF043327	10.8
Ribosomal protein (Rpl12)	L04280	2.8
Other
Dnmt2a	AF012129	2.8
homer-2a	AF093259	3.7
Lysophospholipase I	U89352	10.4
Modifier 2 proteina	X56683	2.5
P35Ba	X53619	2.6
PLA2	M72394	2.6
Retinaldehyde-binding protein	AF084642	4.9
SCID complementing gene 2a	D78188	3.6
Sfrp2	U88567	6.8
Synaptobrevin-like protein	X96737	3.1
(b) B16-F10.9 model
Apoptosis
P53-variantb	U59758	3.9
ECM/angiogenesis
Hyaluronidase 1	AF011567	5.8
Minopontin	X13986	8.7
VEGF-C	U73620	4.6
Metabolism/proteosome
beta-TrCP protein E3RS Ikappa Bb	AF099932	7.9
Ceramide glucosyltransferase	D89866	15.0
Signal transduction
cAMP-dependent Rap 1	AF115480	6.3
LIM and SH3 protein 1	U58882	5.2
RAB7, member RAS oncogene familly	Y13361	2.8
Receptors/ligands
Mouse homologue of human ocular albinism 1	X98352	2.7
Transcription/translation
Cyclin T1b	AF095640	3.5
Myeloblastosis oncogene-like 1	L35261	2.9
Zinc-finger protein 40	D10632	5.1
Other
HSP-105	L40406	2.5
Mouse Ig kappa chain V-region	M18237	16.5
Potassium channel alpha subunitb	AF008574	2.9

^aIndicates genes that were underexpressed in the B16-F10.9 model.

^bIndicates genes that were underexpressed in the D122 model. Genes that were overexpressed in both models are not shown.

Table 2. Genes that were overexpressed, at a fold ⩾2.5, in pulmonary metastases compared to primary tumour in both D122 and B16-F10.9 models.

	GenBank accession #	Fold ratio
Description		D122 model	F10.9 model
Arginase	U51805	22.5	4.9
BNP	D16497	2.7	2.7
IL-1 alpha	M14639	3.1	7.9
PAI-2	X16490	4.4	2.5
SP-C	AA921489	239.3	102.5
UG	L04503	383.6	27.7
WISP-1	AF100777	3.7	4.5

We could not detect any consistent difference in the expression of RhoC in pulmonary metastases compared to the primary tumour. As this gene has been previously shown to be important in the metastatic phenotype of melanoma cell lines (Clark et al, 2000), we confirmed this microarray result using real-time quantitative PCR (RTQ–PCR) (Figure 2).

Figure 2.

Comparative ratio analysis by RTQ–PCR and microarrays. Fold ratios were calculated for each primary tumour against the pulmonary metastases. RTQ–PCR results (mean±s.d.) were obtained from three independent experiments, each in duplicate.

RTQ–PCR confirms overexpression of PAI-2, WISP-1 and UG in pulmonary metastases of both cell lines

To further investigate the reliability of our array data, we measured the expression levels of PAI-2, WISP-1 and UG that were overexpressed in both models using the LightCycler System® (Roche Diagnostics). The expression levels of PAI-2, WISP-1 and UG measured by RTQ–PCR were similar to those measured by the microarrays (Figure 3, UG data not shown).

Figure 3.

Comparative ratio analysis by RTQ–PCR and microarrays. Fold ratios were calculated for each primary tumour against the pulmonary metastases. RTQ–PCR results (mean±s.d.) for WISP-1 and PAI-2 were obtained from three and four independent experiments, respectively, each in duplicate (PAI-2 results are illustrated by two representative experiments).

DISCUSSION

Previous studies provided insight into the patterns of gene expression that allow tumours to metastasise by comparing highly metastatic vs low metastatic cell lines. This approach identified genes that were overexpressed within the highly metastatic cell line and that were, in general, essential to the nonmetastatic/metastatic switch. One study using this approach demonstrated that the small GTPase RhoC was essential for the enhancement of melanoma metastasis when overexpressed. Furthermore, analysis of the phenotype of melanoma cells expressing dominant-negative Rho or RhoC indicated that RhoC is important in tumour cell invasion (Clark et al, 2000).

In this study, we could identify essential targets expressed within the tumour cell, as a result of interactions with the surrounding microenvironment. The reason for this is the comparison made between two phases of a tumour progression in vivo – the primary site and the metastases, both with the surrounding tissue, originating from a highly metastatic cell line. Our attitude aimed to emphasise genes that could be essential for metastasis to the lungs and might play a key role in homing the tumour cells specifically to that organ. Therefore, in our study, the small GTPase RhoC was not overexpressed in the pulmonary metastases compared to the primary tumour of both cell lines. We therefore argue that RhoC has general importance in tumour invasiveness and in the nonmetatstatic/metastatic switch, but not in the specific metastatic homing to the lungs.

Previously, Gemma et al (2001) compared the expression profiles of two subpopulations of an adenocarcinoma cell line with high metastatic potential – PC9/f9 and PC9/f14 – with the parent cell line PC9 using cDNA array. They have shown that the expression of matrix metalloproteinase-2 (MMP-2), plasminogen activator inhibitor-1 (PAI-1) and IL-1 alpha was overexpressed in the highly metastatic subpopulations. There is already abundant experimental evidence that the plasminogen activator system plays a key role in tumour invasion and metastasis (Andreasen et al, 1997; Schmitt et al, 1997). A critical balance of uPA, its cell surface receptor uPA-R (CD 87), and its inhibitor PAI-1 is the prerequisite for efficient focal proteolysis, adhesion and migration, and hence, subsequent tumour cell invasion and metastasis. There is evidence that PAI-2 may block uPA-mediated proteolysis and is inversely correlated with tumour progression of nonsmall cell lung carcinomas and neuroendocrine lung tumours (Robert et al, 1999) and breast cancer (Borstnar et al, 2002). In contrast, higher expression levels of PAI-2 were found in tumour tissues as compared to their normal equivalents and significant relations were found between PAI-2 and pathological stage in nonsmall cell lung cancer patients (Salden et al, 2000). Our data suggest a key role for PAI-2 in lung metastasis from different tumour origins.

Wnt-1-induced secreted protein (WISP-1) was identified by Pennica et al (1998) as an oncogene regulated by the Wnt-1-beta-catenin pathway and is a member of the CCN family of growth factors, which are cysteine-rich, heparin-binding, secreted proteins associated with the extracellular matrix, and can interact with cellular integrins. Xu et al (2000) identified WISP-1 as beta-catenin-regulated and its forced overexpression in normal rat kidney fibroblasts (NRK-49F) was sufficient to induce their transformation. Recently, it was shown that WISP-1 can both activate the anti-apoptotic Akt/PKB signalling pathway and act to block cell death in the p53-mediated apoptosis pathway (Su et al, 2002).

Wnt-1-induced secreted protein-1 was overexpressed (2 to >25-fold) in 84% of human colon tumours examined compared with patient-matched normal adjacent mucosa (Pennica et al, 1998). The expression levels of WISP-1, in mammary tumours from Wnt-1 transgenic mice, were high in stromal fibroblasts lying within the fibrovascular tumour stroma, but low focally within tumour cells (Pennica et al, 1998). Elevated levels of WISP-1 in primary breast cancer were associated with more advanced features, such as tumour size and metastases to axillary lymph nodes (Xie et al, 2001).

In contrast, WISP-1 was found to be one of the 70 prognostic reporter genes able to identify clinical outcome in primary breast cancer patients. It was shown that WISP-1 was overexpressed in the good prognosis group of patients, who did not develop distant metastases within 5 years (Van't Veer et al, 2002). Furthermore, the mouse WISP-1 is identical to the gene identified as ELM1 (GenBank accession# AB004873). ELM1 is expressed in low, but not high, metastatic mouse melanoma cells, and suppresses the in vivo growth and metastatic potential of K-1735 mouse melanoma cells (Hashimoto et al, 1998). The contradiction between the above findings may be explained in view of previous studies suggesting that the effect of a single gene may differ according to the genetic and cellular context. For example, c-MYC can induce both cell proliferation and apoptosis (Evan et al, 1992; Jain et al, 2002; Pelengaris et al, 2002). Another example was given by Serrano et al (1997), who showed that the oncogene ras, known for its ability to transform immortal rodent cells to a tumourigenic state, can provoke premature cell senescence in primary human and rodent cells.

Here we have demonstrated overexpression of WISP-1 in pulmonary metastases of two distinct metastatic cell lines. We propose a key role for WISP-1 in the metastasising process to the lungs.

Interleukin-1 alpha was shown to enhance the adhesion of A549 lung carcinoma and M6 melanoma cells to the vascular surface both in vitro and in vivo, suggesting that IL-1 proteins facilitate the metastatic process (Lauri et al, 1990). Significant correlation between expression of IL-1 alpha and liver metastasis in gastric carcinoma was shown (Tomimatsu et al, 2001), suggesting that IL-1 alpha functions universally in the metastatic process. Here we have demonstrated overexpression of IL-1 alpha in pulmonary metastases of two distinct metastatic cell lines.

Arginase converts L-arginine to L-ornithine, which is the precursor of polyamines that are essential components of cell proliferation. N-hydroxy-L-arginine (NOHA), a stable intermediate product formed during conversion of L-arginine to NO by nitric oxide synthase, inhibited proliferation of the high arginase-expressing MDA-MB-468 cells, activated caspase-3 and induced apoptosis after 48 h (Singh et al, 2000). Additionally, Chang et al (2001) have shown that arginase induction in macrophages can enhance tumour cell growth by providing them with polyamines and suppress tumour cytotoxicity by reducing NO production. The arginase inhibitor L-norvaline downregulated this proliferative effect. Yet, an active subunit of arginase was found to inhibit differentially poorly liver metastasizing cell lines (Cavanaugh and Nicolson, 2000). Highly metastatic cells displayed no ability to preferentially inactivate or inhibit the activity of arginase, but they did display slightly greater amounts of intracellular arginine. Here, however, arginase was overexpressed in pulmonary metastases of two distinct metastatic cell lines. Therefore, arginase may be essential for tumour metastasis to the lungs, but not to the liver, and lung macrophages might take part in that process.

Brain natriuretic peptide (BNP) is a polypeptide hormone, demonstrated mainly in the heart, which causes vasodilation and natriuresis in man and animals. Elevated levels of BNP are usually associated with cardiac dysfunction (Cowie and Mendez, 2002). There is also evidence that human small cell lung cancer cell lines produce BNP (Ohsaki et al, 1999). There is no known connection of BNP to tumourigenesis or metastasis.

Uteroglobin (UG) was found to be infrequently expressed in non-small cell lung cancer cell lines, despite being abundantly produced by progenitor cells for normal and neoplastic airway epithelium. A549 cells transfected with UG demonstrated a marked reduction in invasiveness and decreased adhesiveness to fibronectin compared with the controls (Szabo et al, 1998). Surfactant-C (SP-C) is overexpressed in normal lungs and plays an important role in its functioning. Our data show overexpression of UG and SP-C in pulmonary metastases compared to both primary tumours and normal lung. Nevertheless, these genes were also overexpressed in the normal lung compared to the primary tumour.

Most of the previously described genetic alterations in various cancers involve inactivation of tumour suppressor genes. The proteins produced from these genes are difficult to target with drugs, because they are inactive or absent in the cancer cells. In contrast, enzymes whose expression is elevated in cancer cells like those encoded by WISP-1, arginase, IL-1 alpha and PAI-2 provide excellent targets for drug discovery purposes. Further research should address the specific role of these genes in the formation of pulmonary metastases from different tumours.