Fra-2 Overexpression Upregulates Pro-metastatic Cell-adhesion Molecules, Promotes Pulmonary Metastasis and Reduces Survival in a Spontaneous Xenograft Model of Human Breast Cancer

doi:10.21203/rs.3.rs-592522/v1

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Research Article

Fra-2 Overexpression Upregulates Pro-metastatic Cell-adhesion Molecules, Promotes Pulmonary Metastasis and Reduces Survival in a Spontaneous Xenograft Model of Human Breast Cancer

https://doi.org/10.21203/rs.3.rs-592522/v1

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Purpose:

The transcription factor Fra-2 affects the invasive potential of breast cancer cells by dysregulating adhesion molecules in vitro. Previous results suggested that it upregulates the expression of E- and P-selectin ligands. Such selectin ligands are important members of the leukocyte adhesion cascade, which govern the adhesion and transmigration of cancer cells into the stroma of the host organ of metastasis. As so far, no in vivo data are available, this study was designed to elucidate the role of Fra-2 expression in a spontaneous breast cancer metastasis xenograft model.

Methods:

The effect of Fra-2 overexpression in two stable Fra-2 overexpressing clones of the human breast cancer cell line MDA MB231 on survival and metastatic load was studied after subcutaneous injection into scid and E- and P-selectin deficient scid mice.

Results:

Fra-2 overexpression lead to a significantly shorter overall survival and a higher amount of spontaneous lung metastases not only in scid mice, but also in E- and P-deficient mice, indicating that it regulates not only selectin ligands, but also selectin-independent adhesion processes.

Conclusion:

Thus, Fra-2 expression influences the metastatic potential of breast cancer cells by changing the expression of adhesion molecules, resulting in increased adherence to endothelial cells in a breast cancer xenograft model.

Cancer Biology

Oncology

Breast Cancer

Transcription factor

AP-1

Fra-2

Metastasis

Breast cancer is the most frequent form of cancer in women and the most common cause of female cancer death¹. Metastasized breast cancer still represents a considerable clinical problem, as it cannot ultimately be cured and thus most patients die because of the metastatic spread to vital organs such as lung, bone marrow and liver². To achieve progress in the treatment of metastasized breast cancer, a better understanding of the process of metastasis formation is therefore necessary. During distant metastasis formation, cancer cells first of all separate from the primary tumour and invade the local stroma, enter the tumour blood vessels and are transported through the circulation to distant sites. Here adhesion to endothelial cells and extravasation into the stroma of the secondary site follows, where some of the emigrated cells eventually grow into clinically detectable metastases^3-5. Endothelial cells at this site express E- and P- selectins at their luminal surface, which have been previously described as mediators of the first step of leucocyte adhesion and transmigration at sites of inflammation. Comparable with leucocyte adhesion, studies have demonstrated an involvement of selectins in the attachment and transmigration of circulating tumour cells^6,7. The particular contribution of selectin expression to cancer progression is defined by the temporal and spatial presence of selectins on the luminal endothelial cell surface but also on the presence of selectin ligands on the cancer cell membrane⁸. The classical (canonical) binding partners of selectins are carbohydrate structures, which must be presented on specialized protein scaffolds that enhance ligand clustering, which enables effective selectin binding⁹. Enhanced selectin ligand expression on tumour cells enables the contact with the endothelium and thereby regulates tumour cell progression⁸.

In a foregoing study, we demonstrated that the overexpression of the transcription factor Fra-2 (FOSL2 or Fos-related antigen-2) in MDA MB231 cells resulted in altered in vitro expression of cell adhesion molecules involved in cell-cell or cell-matrix interactions and investigated the adhesive potential of these transfected cells. A strong increase of transiently adherent (rolling) cells compared with the control cells was observed in laminar flow assays with E-selectin coated surfaces indicating that Fra-2 overexpression upregulates expression of cell adhesion molecules or their ligands, respectively, of the leukocyte adhesion cascade¹⁰. In particular, the observation that increased Fra-2 expression can lead to increased attachment of the cancer cells to E-selectin suggests that Fra-2 also modulates selectin binding sites in breast cancer cells in vivo and thus allows the tumour cells to adhere to the vascular endothelium via E-selectin.

The expression of these cell adhesion molecules and their ligands underlies the regulation by transcription factors including Fra-2. Fra-2 (Fos-related antigen-2) is part of the AP-1 (activating protein-1) transcription factor complex, consisting of the Fos-, Jun-, ATF- and MAF-protein families^11-14 that bind to regulatory sequences of various target genes, which in turn are induced by growth factors, cytokines, oncoproteins or tumour promoters like TPA (12-O-tetradecanoylphorbol-13-acetate). They form hetero- or homodimers, whose respective combination determines the genes that are regulated by AP-1¹². These experimental results are reflected in clinical studies which showed that in breast cancer Fra-2 overexpression is associated with a more aggressive tumour phenotype, which indicates that Fra-2 might be involved in breast cancer progression in vivo¹⁵ and furthermore several investigations indicated that Fra-2 might play a pivotal role in the progression of diverse human tumour types in vivo ¹⁶. Fra-2 overexpression was found in salivary gland tumours¹⁷, colorectal cancer¹⁸, adult T-cell leukaemia¹⁹, cutaneous T-cell lymphomas²⁰ and tongue cancer²¹. Recently it was shown that Fra-2 facilitates TGF-ß1-induced migration in non-small cell lung cancer (NSCLC) cells by interaction with the transcription factor Smad3²². Due to these multiple interactions, Fra-2 is an ideal candidate, which can possibly exert a regulatory effect on the expression of many different cell adhesion molecules and their ligands, respectively. We therefore wanted to investigate which of these regulatory effects of Fra-2 operate in an in vivo model of breast cancer metastasis and focused on E- and P- selectin binding sites as the first receptors of the leukocyte adhesion cascade. By studying the effect of Fra-2 overexpression in MDA MB231 breast cancer cells in scid mice and E- and P-selectin deficient mice, we investigated the role of this transcription factor in tumor cell adhesion and metastasis in vivo. By comparison of tumor xenografts in both mouse models, we further analysed the role of selectins from both the ligand and the receptor sides during this process.

Cell lines

All cells derived from the human breast cancer cell line MDA MB231 were cultivated as described before¹⁵ and stable clones with increased Fra-2 expression had been generated by transfections with the plasmid Fra-2-pIRES containing the full Fra-2 cDNA cloned in the bicistronic vector pIRES¹⁵. For the following experiments, the MDA-Fra-2 clones (cl) 1 and 2 and the MDA-pIRES clone as negative control were used. All cell lines were routinely tested for mycoplasma infection using the PCR-based VenorGeM Mycoplasma Detection kit (Minerva Biolaps GmBH, Berlin, Germany) according the manufacturer’s instructions. Only cells negative for mycoplasma infection were used for further experiments. Authenticity of human cell lines has been confirmed by STR analysis (DSMZ Braunschweig, Germany).

Subcutaneous xenograft mouse model

In this study female Balb/c severe combined immunodeficient (scid) mice as well as E-selectin -/- and P-selectin -/- scid mice were used. Scid mice had been crossbred with E- and P-selectin deficient mice (Jackson laboratory, stock no: 002916) and selectin deficiency was verified as described previously²³. The mice were housed under pathogen-free conditions in IVC cages and provided with sterile food and water ad libitum. For injection into mice cells from MDA-Fra-2 clone 1 and 2 and as negative control MDA-pIRES cells were adjusted to 5 x 106 ml-1 medium. 200 µl of this suspension were injected subcutaneously between the scapulae of each mouse. Cells from every cell line were injected into groups of 20 animals each. When the primary tumours had reached maximum 20% of the body weight of the animal at the beginning of the experiment or ulcerated, the mice were terminally narcotized, and then sacrificed by cardiocentesis and cervical dislocation. Right lungs were excised en bloc and prepared for histologic analysis; left lungs were subjected to DNA-isolation. Bone marrow was received by flushing the left femora with 1 ml NaCl 0.9%. Two hundred µl of blood and the bone marrow suspension were subjected to DNA isolation. Then primary tumours were removed, weighed and processed for histologic analysis, RNA isolation and protein isolation.

Ethical Approval and Informed Consent

The methodology for carrying out the animal experiments was consistent with the UKCCCR guidelines for the welfare and use of animals in cancer research²⁴ and were carried out in compliance with the appropriate Animal Research: Reporting in vivo Experiment (ARRIVE) guidelines²⁵. The xenograft experiment was supervised by the animal welfare officer institute and the local licensing authority (Behörde für Soziales, Familie, Gesundheit und Verbraucherschutz, Amt für Lebensmittelsicherheit und Veterinärwesen, Hamburg, Germany) approved the experiment under the project No. G09/58. All methods were performed in accordance with the relevant guidelines and regulations by the local authorities.

Histology and morphological analysis of spontaneous lung metastases

One piece of primary tumour, right lung and bone marrow were fixed in 4% buffered formalin and processed for wax histology. Five µm sections were cut from primary tumours for immunohistochemistry and hematoxylin and eosin (H.E.) staining. The lungs were fixed en block and subsequently cut into 1 mm thick slices and embedded in 2% agar. Afterwards the lung slices were paraffin-embedded and cut into 5 µm thick sections. Ten sections of each paraffin wax block were H.E. stained and metastases were counted at a 200-fold magnification using Zeiss Axiophot photomicroscope (Zeiss, Jena, Germany). The total number of lung metastases was determined for all mice using quantitative assessment as described before²⁶. Additionally, two series of serial sections out of the middle of each paraffin wax block were preserved for further immunohistological analyses.

DNA extraction and real-time PCR for detection of circulating tumour cells, disseminated tumour cells and lung metastases

DNA extraction of 200 µl murine blood was performed using the QIAamp DNA Blood Mini Kit (Qiagen, Hilden, Germany) and for DNA isolation of murine bone marrow and lung the QIAamp DNA Mini Kit (Qiagen, Hilden, Germany) was used, according to manufacturer`s instructions. A serial dilution with 10-fold dilution of extracted DNA from 1 x 106 cell culture cells MDA MB231 to one cell was established. Control samples were isolated from mice without injected tumour cells. To quantify human tumour cells by real-time polymerase chain reaction (PCR) established primers specific for human Alu-sequences were used as described before²⁷.

Analyses were performed in triplicates and at least in two independent experiments, for each sample.

RNA isolation and cDNA microarray analysis

Approximately 50 mg of fresh-frozen primary tumour tissue was crushed in liquid nitrogen. The total RNA was isolated using QIAzol Lysis Reagent (Qiagen, Hilden, Germany) and the miRNeasy Mini Kit (Qiagen, Hilden, Germany), according to manufacturer`s instruction. RNA yield was determined by UV absorbance using NanoDrop 1000 Spectrophotometer (Peqlab, Erlangen, Germany). The RNA quality was assessed by analysis of ribosomal RNA band integrity on an Agilent 2100 Bioanalyzer and RNA 6000 LabChip kit (Agilent Technologies, Palo Alto, CA, USA). The RIN values of RNA samples used for microarray analysis were higher than 7.7. The microarray experiments were performed according to the manufacturer's instructions (TermoFisher Scientific UserGuide P/N 703174) and as described in ^28,29. Procedures for cDNA synthesis and labeling were carried out according to the GeneChip WT PLUS Reagent Kit (Applied Biosystems) protocol using 500 ng of total RNA as the starting material. Target DNA fragmentation, labeling, hybridization on Affymetrix Gene Chip Human Transcriptome Array 2.0 microarrays, array washing, staining, and scanning were performed as described in ³⁰. The raw microarray data (CEL-files) were processed using the Affymetrix Expression Console (build 1.4.1.46) with RMA-sketch method. All CEL-files are available in the Gene Expression Omnibus database (www.ncbi.nlm.nih.gov/geo/) under accession number GSE148089.

qRT-PCR analysis

RNA was reverse transcribed to cDNA using 2 µg of total RNA as a starting material. Quantitative PCR analysis was carried out using the SYBR Green 5x qPCRmix-HS SYBR reaction mix (Evrogen, Moscow, Russia). Amplification included 10 min denaturation at 94°C, 40 cycles 20 s melting at 94°C followed by 10 s annealing at 64°C and 15 s elongation at 72°C. Primer pairs were designed and characterized as described in³¹.

PCR efficiencies of all primer sets were higher than 1.9 and lower than 2.17 (Table 1), except for CTSS (1.79), LGALS1 (1.86), and SRGN (1.88). All RNA samples were analyzed in triplicate and averaged. Target genes were normalized to the reference genes PTMA, RPS23, EEF1A1, ACTB, and GAPDH and data were processed based on the ∆∆Ct method. Reference gene selection and validation were performed using the approach described in^31.

Protein extraction and Western blot analysis

For total protein extraction about 100 mg fresh-frozen primary tumour tissue was crushed in liquid nitrogen and immediately suspended in ice cold self-made RIPA lysis buffer containing a protease inhibitor cocktail (Calbiochem, Darmstadt, Germany). The suspension was stored at -20°C until usage. Protein content of each sample was determined by BCA protein assay (Pierce BCA Protein Assay kit, Thermo Scientific, Rockford, IL, USA). Western blots were performed as described previously³². For validation of differentially expressed genes, the following primary and secondary antibodies are specified below. Visualization by chemiluminescence reagents (SuperSignal West Pico Chemiluminescent Substrate kit, Thermo Scientific, Rockford, IL, USA) with Hyperfilm ECL films (GE-Healthcare, Freiburg, Germany). Band intensities were quantified by densitometry with GS-800 Calibrated Densitometer (BioRad, München, Germany). The intensities of the specific protein bands were calculated as percentage intensity of the control sample and corrected for equal actin loading.

Commercial antibodies used for Western blot analysis:

Primary antibodies

ß-Actin (RRID: AB_626632; cl C-4;1:500; Santa Cruz, Heidelberg, Germany)

Fra-2 (RRID: AB_2107084; cl Q-20;1:200; Santa Cruz, Heidelberg, Germany)

HCAM (RRID: AB 627066; CD44; cl F-4; 1:200; Santa Cruz, Heidelberg, Germany)

ICAM-1 (RRID: AB_627123; cl G-5; 1:250; Santa Cruz, Heidelberg, Germany)

Integrin β4 (RRID: AB_626839; G-7; sc-13127; 1:500; Santa Cruz, Heidelberg, Germany)

L1-CAM (cl UJ 127.11; 1:25; obtained from Altevogt Lab, Heidelberg,³³)

ALCAM (RRID: AB_868825; ab49496; 1:500; Abcam, Cambridge, United Kingdom)

Secondary antibodies

HRP goat anti-mouse IgG (RRID: AB_631736; 1:8000; sc-2055; Santa Cruz, Heidelberg, Germany)

HRP goat anti-rabbit IgG (RRID: AB_631748; 1:8000; sc-2054; Santa Cruz, Heidelberg, Germany)

Immunohistochemistry

Immunohistochemical analyses were performed on paraffin-embedded sections of the primary tumour and right lungs. Sections were deparaffinized with xylene and rehydrated in a series of graded ethanol to distilled water. Primary Antibodies, secondary antibodies and pretreatment are described below. All sections were counterstained with Mayer`s hemalum. Photographs were taken using Zeiss Axiophot 2 photomicroscope (Zeiss, Jena, Germany).

Commercial antibodies and pretreatment used for immunohistochemical analysis:

Antibodies	Pretreatment
Fra-2 (RRID: AB_2107084; cl Q-20;1:50) (Santa Cruz, Heidelberg, Germany)	S1699 (DAKO), microwave
CD44 (RRID: AB_307182; cl L178; 1:100) (BD - Pharmingen, Heidelberg, Germany)	S1699 (DAKO), steamer, 121°C
ICAM-1 (RRID: AB_627123; cl G-5; 1:500) (Santa Cruz, Heidelberg, Germany)	S1699 (DAKO), microwave
Integrin β4 (RRID: AB_10866385; cl 439-9B; 1:25) (Abcam, Cambridge, United Kingdom)	S1699 (DAKO), microwave
LGALS1 (RRID: AB_2136615; ab25138; 1:400) (Abcam, Cambridge, United Kingdom)	Citrate buffer, water bath, 99°C
Cortactin (CTTN; RRID: AB_2088281; sc11408; 1:50) (Santa Cruz, Heidelberg, Germany)	S1699 (DAKO), microwave
Tspan8 (RRID: AB_2678899; HPA-044337; 1:50) (Atlas; Merck, Taufkirchen, Germany)	S1699 (DAKO), 125°C
L1-CAM (RRID: AB_2133065; UJ127) (Abcam, Cambridge, United Kingdom)	EDTA, microwave
Secondary antibodies anti-mouse IgG (RRID: AB_631736; sc-2005; 1:8000; Santa Cruz, Heidelberg, Germany) anti-rabbit IgG (RRID: AB_631746; sc-2004; 1:8000; Santa Cruz, Heidelberg, Germany)

Statistical analyses

Data were visualized analyzed using Graph Pad Prism 5.0 (GraphPad Software, La Jolla, CA) and SPSS 22.0 software (IBM, Chicago, IL, USA). An ANOVA with post-hoc group comparisons model was used to compare tumour weight between control and Fra-2 cl 1 and 2. Due to the explorative nature no adjustment for multiplicity was applied. For the number of lung metastases and comparison of disseminated tumour cells a Negative Binomial Generalized Linear Model was applied. The potential confounders tumour weight and time of tumour growth were no independent factors and therefore excluded in all final models. Survival of mice was analysed by Kaplan-Meier survival curves and Log-rank tests. All tests were performed at a significance level of p = 0.05. All p values are two-sided.

In order to analyse the functional role of Fra-2 in breast cancer cells, we established stable transfectants with overexpression of the transcription factor in the cell line MDA MB231 with the pIRES-Fra-2 vector as previously described¹⁰. Strongly enhanced Fra-2 expression levels could be confirmed in two single-cell clones (Fra-2 cl 1 and cl 2) by western blot analysis (Fig 1 a).

Fra-2 overexpression leads to shortened overall survival and increased number of metastases in a subcutaneous scid xenograft model of human MDA MB231 cells

To investigate the effects of Fra-2 in vivo, cells of both clones with Fra-2 overexpression as well as control cells were injected subcutaneously into scid mice (Fra-2 cl 1: 22 mice; Fra-2 cl 2: 18 mice; control: 16 mice; total amount of 56 female mice) for a survival experiment. 47 of 56 mice developed primary tumours, particularly 95.5% of mice inoculated with Fra-2 cl 1, 83.3% of mice inoculated with Fra-2 cl 2 as well as 68.8% of mice which were injected with control cells. At necropsy excised control primary tumours were significantly smaller than Fra-2 cl 1 tumours whereas the difference to cl 2 tumours did not reach statistical significance (control mean tumour weight = 0.67 g, Fra-2 cl 1 mean tumour weight = 1.63 g, Fra-2 cl 2 mean tumour weight = 0.87 g; control vs Fra-2 cl 1 p = 0.018; control vs Fra-2 cl 2 p = 0.513) (Fig 1 b). The time span between injections of the tumour cells until sacrifice will subsequently be referred to as survival time. Survival analysis demonstrated a significantly longer overall survival of the mice injected with control clone compared to mice injected with the Fra-2 clones 1 and 2 (range 70-342 days, median survival control = 162 days, median survival Fra-2 cl 1 = 91 days, median survival Fra-2 cl 2 = 140 days, p < 0.001) (Fig 1 c). The presence of microscopically detectable lung metastases was confirmed upon histological examination of the right lung. 94.1% of mice injected with Fra-2 cl 1 developed lung metastases (range from 264 to 93746 lung metastases, mean = 10785). We detected lung metastases in 54.5% of mice injected with Fra-2 cl 2 cells (range from 140 to 29744 lung metastases, mean = 3295, whereas significantly fewer metastases were found in the control group injected with control cells (lung metastases were found in 84.6% of control mice, range from 89 to 1766, mean = 576; control vs Fra-2 cl 1 p < 0.001, control vs Fra-2 cl 2 p = 0.007) (Fig 1 d).

To demonstrate that the Fra-2 overexpression still existed in primary tumours grown in scid mice and their metastases we analysed the Fra-2 expression by immunohistochemistry. Elevated Fra-2 protein levels could be detected in primary tumours of Fra-2 scid mice (Fig 1 e-g) and could also be observed in corresponding lung metastases (Fig 1 h-m).

Microarray analyses of resected tumours and validation of genes with dysregulated expression in scid mouse tumours

Since Fra-2 overexpression also resulted in an increased number of metastases and reduced overall survival in scid mice, cDNA arrays with mRNA isolated from xenograft tumour tissue were performed and analysed (three tumours per group). Genes that were at least two-fold increased or decreased compared with the respective control were further considered to be significantly dysregulated (adjusted p-value below 0.05). According to these criteria, 368 (control vs Fra-2 cl 1) and 33 (control vs Fra-2 cl 2) genes were upregulated and 142 (control vs Fra-2 cl 1) and 130 (control vs Fra-2 cl 2) genes downregulated in scid primary tumours.

The focus of our analyses was directed on genes that are commonly associated with altered adhesion behavior of tumour cells and / or carrying selectin binding sites on the cell surface. In the analysed groups no concordant genes were identified in the resected tumours of injected Fra-2 cl 1 and Fra-2 cl 2 cells, but prospective candidates with corresponding characteristics were found among the upregulated genes in both Fra-2 groups. In particular, genes such as L1-CAM, ITGB4, DSC2 (Desmocollin 2), TSPAN8 (Tetraspanin 8) and 6 or GPR116 have been upregulated and MAN1A1 or MMP1 have been downregulated compared to the control (Table 2). Using qRT-PCR we could validate Fra-2 mediated upregulation for AGRF5 (GPR116), TSPAN8, DSC2, TSPAN6 and MGAT4A (Table 3). We chose L1-CAM, ICAM-1 and CD44- based on earlier results¹⁰ - and ITGB4 and TSPAN8 to exemplarily verify the microarray results on protein level. In a western blot analysis, we were able to confirm a different regulation of L1-CAM and CD44 in both clones compared to the respective control samples using protein lysates obtained from tumours of the resected mice (Fig 2 a) However, we could only detect a higher expression of ICAM-1 in Fra-2 cl 2 (Fig 2 a), but by immunohistochemical staining of sections from primary tumours and metastases of lung tissue we could validate expression differences of ICAM-1 between both Fra-2 clones compared to the control (Fig 3 b). We also found a visibly stronger expression of L1-CAM, CD44 and ITGB4 in the scid mice primary tumours and lung metastases injected with Fra-2 overexpressing cells by immunohistochemical staining (Fig 3 a, c-d). For TSPAN8, however, we could only detect a positive immunoreactivity in the lungs (Fig 3 e).

E- and P-selectin deficiency in mice leads to longer overall survival

To examine whether E- and P-selectin and tumour cell interactions took part in malignant progression in vivo, the transfected cells were injected subcutaneously in a total amount of 53 E- and P-selectin double knock-out scid mice (select), 19 of them with Fra-2 cl 1 cells, 18 with Fra-2 cl 2 cells and 16 with control cells. Primary tumour growth was observed in 38 of 53 mice (71.7%), more precisely in 18 of 19 mice injected with Fra-2 cl 1 cells (94.7%) and in 13 of 18 mice injected with Fra-2 cl 2 cells (72.2%), whereas only 7 of 16 (43.8%) of the control injected mice developed primary tumours after a time period of 300 days in the survival experiment. There was no significant difference between the tumour weights of controls and both Fra-2 clones in the select mice (control mean tumour weight = 1.17 g, Fra-2 cl 1 mean tumour weight = 1.43 g, Fra-2 cl 2 mean tumour weight = 0.61 g; control vs Fra-2 cl 1 p = 0.656; control vs Fra-2 cl 1 p = 0.165) (Fig 2 b) although the termination criteria between the different groups were applied in the same way. However, survival analysis demonstrated a significantly longer overall survival of the select mice injected with control cells compared with select mice injected with the Fra-2 cls 1 and 2 cells, similar to the results in scid mice (range 64-321 days, median survival Fra-2 cl 1 = 87 days, median survival Fra2 cl 2 = 183 days, p < 0.001) (Fig 2 c).

Spontaneous lung metastases were histologically detected in 50% of Fra-2 control cells in select mice (range from 560 to 2786 lung metastases, mean = 620). In comparison, lung metastases were found in 100% of select mice injected with Fra-2 cl 1 cells (range from 1591 to 107184 lung metastases, mean = 15074; p < 0.001), whilst in 66.7% of select mice injected with Fra-2 cl 2 cells microscopically detectable lung metastases were found (range from 414 to 2688 lung metastases, mean = 1115; p = 0.155) (Fig 2 d).

On comparison of the two experiments to estimate the survival function between the scid and select mice a significantly shorter overall survival of scid (n = 56) mice versus select (n = 53) mice could be observed (median survival scid = 125 days, median survival select = 154 days, p = 0.034) (Fig 2 e). Due to the median survival advantage of almost 29 days, we assumed that the selectin status of the immunodeficient mice did directly influence overall survival.

Remarkably quantitative real-time Alu-PCR of bone marrow did show significantly reduced numbers of disseminated tumour cells in the select mice compared to the scid mice (mean of DTCs scid mice = 0.2430 cells/60 ng template DNA, mean of DTCs select mice = 0.0360 cells/60 ng template DNA, p = 0.014) (Fig 2 f). Almost no detectable human cells were found in the select mice except in one injected with Fra-2 cl 1 cells (0.31 cells/60 ng template DNA) and one injected with Fra-2 cl 2 cells (1.56 cells/60 ng template DNA) (4.3% of mice) compared to the scid mice, where in 47.1% of mice human DNA was detected in the bone marrow. Taken together our data suggest an essential effect of the selectins on cell engraftment in the bone marrow and lungs.

Microarray analyses of resected tumours and validation of genes with dysregulated expression in select mice tumours

As Fra-2 overexpression with Fra-2 cl 1 cells transplanted into select mice also led to an increased metastatic load and significantly reduced survival in the select mice; again microarray analyses were performed as described before.

According to our criteria, 497 (control vs Fra-2 cl 1) and 299 (control vs Fra-2 cl 2) genes were found to be upregulated and 404 (control vs Fra-2 cl 1) and 281 (control vs Fra-2 cl 2) genes downregulated in select mice tumours, respectively.

Again, we focused on genes that could putatively play a role in the adhesion of tumour cells to endothelial cells as the gene product can interact with selectins. In both groups (Fra-2 cl 1 and cl 2) some interesting genes could be identified, e.g. in the Fra-2 cl 1 primary tumours LGALS1, ADRM1 and CTTN, which were upregulated and LUM (Lumican), MAN1A1 and SPARC, which were significantly downregulated. For Fra-2 cl 2 primary tumours, genes such as SRGN (Serglycin) and ESAM were upregulated while CD99 and SELPLG (selectin P ligand) were downregulated (Table 4).

In addition, comparing Fra-2 cl 1 and cl 2 primary tumours in the select group, we found matched genes that were equally regulated by Fra-2 in both clones. CTTN was upregulated; meanwhile MMP2, ZEB2 and SELPLG were downregulated in both clones. Using qRT-PCR we could validate Fra-2 mediated upregulation for ADRM1, GALNT11, BABAM1, ESAM, LGALS1 and CTTN (Table 5). By immunohistochemical staining we could confirm some of these gene products like MTA2, ESAM and LGALS1 in primary tumour and in metastasized cells in the lung of the two clones (Fig 4 a -c), but CTTN only in primary tumour sections not in metastatic cells of the lung (Fig 4 d).

Further evaluating the microarray data of the scid and the select group, we observed that many genes which are crucial for glycosylation show an altered expression: for example, MAN1A1, MAN2A1, GALNT 5 and 7 were downregulated in Fra-2 cl 1 scid primary tumours, whereas MGAT4A was upregulated. ST8SIA4, B4GALT5 and CSGALNACT2 were found to be downregulated in Fra-2 cl 2 scid primary tumours.

LGALS1, B4GALT6, GALNT11 were upregulated and MGAT5, MAN1A1, MANBA, LUM, GALNT1 and 7, HAPLN3 and ST6GALNAC5 were downregulated in Fra-2 cl 1 select primary tumours, while MGAT4A was upregulated.

The aim of the present experimental study was to elucidate the functional consequences of Fra-2 overexpression for the formation of metastases in a spontaneous breast cancer metastasis model. So far only clinical and in vitro data were available, which showed that Fra-2 overexpression is associated with a significantly shorter disease-free survival for breast cancer patients and in Fra-2 overexpressing cell lines Fra-2 dysregulates genes involved in cell-cell and cell-matrix contacts^10,15.

Our results from the present scid mouse models demonstrate that Fra-2 overexpression in the injected breast cancer cells leads to a significantly shorter overall survival of the mice and in accordance with this observation a considerable and significantly higher number of microscopically detectable metastases was detected in the animals´ lungs (Fig 1 e-m). In order to identify the genes involved in this enhanced metastatic capacity, cDNA microarray analysis of resected primary scid mouse xenograft tumours was performed which identified a considerable number of dysregulated genes, which are known to be involved in metastasis formation.

The attachment of the tumour cells to endothelium is the crucial step during metastasis formation, which is characterized by enhanced adhesive properties of the circulating cells by upregulation of cell adhesion molecules and their ligands, respectively. The general steps of the metastatic cascade can be divided into several phases. The extravasation of tumour cells is initialized by rolling and low-affinity binding at the endothelium mediated by the selectin family. Rolling is followed by tight adhesion through integrins or other members of the large family of adhesion molecules. As cell to cell and cell to matrix adhesion molecules had been identified to be rate limiting for metastasis formation, we focused on this class of molecules^34-37. Supporting our former in vitro study¹⁰, we found a higher mRNA expression of the immunoglobulin superfamily cell adhesion molecule L1-CAM in isolated Fra-2 cl 1 scid primary tumours, which could be confirmed by Western blot (Fig 2 a) and IHC analysis including primary tumour sections and metastasized cells in the lungs (Fig 3 a). The expression of L1-CAM is induced by ERK-MAP-kinase signaling^38,39 and MAP/ERK has been shown to be an important upstream regulator of AP-1 signaling¹². Mechanistically, Fra-2, as heterodimer with a Jun partner, binds conserved AP-1 consensus sites at the L1-CAM promoter and is able to mediate transcriptional activation of L1-CAM when Fra-2 is phosphorylated by ERK 1/2⁴⁰. Results from Dippel et. al. indicate that L1-CAM expression on MDA MB231 cells promotes adherence to activated endothelial cells by binding to endothelial L1-CAM⁴¹. Enhanced expression resulted in L1-CAM mediated cell adhesion, migration and proliferation, thereby contributing to tumour progression and invasiveness. In nearly all malignancies investigated so far, L1-CAM expression was associated with poor prognosis, tumour progression and metastasis to lymph nodes⁴². A key player in this step of the metastatic cascade is ICAM-1, of which we confirmed a higher expression in the isolated Fra-2 cl 2 scid primary tumours by Western blot (Fig 2 a) and IHC analysis (Fig 3 b). ICAM-1 mediates the adhesion of lymphocytes to endothelial cells⁴³ via Integrin αLβ2 (LFA-1)⁴⁴. As tumour cells do not express αLβ2 integrins, they use leukocytes as linker cells to adhere to the vascular endothelium by means of an ICAM-1/LFA-1 interaction⁴⁵. It has been shown that MDA MB468 breast cancer cells use this mechanism to adhere to lung endothelial cells⁴⁶. Furthermore, ICAM-1 expression correlated with the metastatic capacity of five human breast cancer cell lines, suggesting its key role in invasion and dissemination⁴⁷. As ICAM-1 contain AP-1 binding sites within their promoter regions, ICAM-1 engagement leads to downstream activation of the MAP-and ERK-1 kinase cascade and subsequent AP-1 transcription factor activity^48,49. Another member of this immunoglobulin superfamily, namely CD44 was also upregulated by Fra-2 as well in the scid mouse xenograft tumours and metastasized cells in the lungs as confirmed by Western blot (Fig 2 a) immunohistochemistry (Fig 3 c). CD44 is a cell-surface glycoprotein with a postulated role in cancer metastasis⁵⁰ with binding domains for hyaluronan and other glycosaminoglycans, collagen, laminin and fibronectin, all components of the ECM⁵¹.

Overexpression of CD44 has been linked to a number of transcription factors including NFkB and AP-1⁵². Most notably, AP-1 has been shown to have a direct effect on CD44 expression by binding the CD44 promoter^53,54. In colon carcinoma cells O-glycosylated CD44 can bind endothelial E-selectin, which in turns contributes to metastasis⁵⁵. Following the steps of the metastatic cascade integrins like ITGB4, which was highly expressed in Fra-2 overexpressing scid tumours, are also O-glycosylated and are suspected to influence the attachment of tumour cells to the ECM as well as cell -to cell interactions⁵⁶. Moreover, ITGB4 transactivates EGFR/Her2 signaling and promotes lung metastasis in breast cancer cells^57,58. It stimulates mammary carcinoma hyper proliferation by inducing phosphorylation and, presumably, activation of c-Jun, the preferred dimer partner of Fra-2^12,59. In agreement with our previous in vitro study¹⁰, we could substantiate the expression of L1-CAM, ICAM-1 and CD44 in the scid mouse model injected with Fra-2 overexpressing cells. Furthermore, we found metastasized cells expressing L1-CAM, ICAM-1, CD44, ITGB4 and TSPAN8 in corresponding lungs of those scid mice (Fig 3 a-e). Mechanistically, the above-named results imply that Fra-2 participates in the metastatic cascade by regulating signaling functions and ligand interactions of these genes.

This special role of Fra-2 also becomes clear in the second experimental approach. We were able to show that the select mice had a survival advantage to the scid mice and a reduced metastatic load in the lung, but nevertheless tumour growth and metastasis did occur at a later time point. This growth delay can be explained by the lack of E- and P-selectins on the endothelium of the select mice, as the initial contact and adherence of the tumour cells to the endothelium is hampered and thus gives the mice a survival advantage of about 30 days. However, our studies also demonstrate that the transcription factor Fra-2 is able to control the expression of other adhesion molecules as well (L1-CAM, ICAM-1, CD44, ITGB4 and TSPAN8) and thus allows the tumour cells to adhere to the selectin-deficient endothelium via these adhesion molecules. Again, microarray analyses of resected tumours of the select mice were performed to identify possible genes that would assure adhesion to the endothelium in the absence of selectin binding partners.

Based on the microarray data, LGALS1, also known as Galectin-1, exhibited the most significant upregulation. Its transcript was clearly upregulated in tumours resected from select mice injected with Fra-2 cl 1 (Table 4) and we were able to detect the expression of LGALS1 by immunohistochemistry both in the tumours and in metastatic cells in the lungs of animals of both Fra-2 overexpressing clones (Fig 4 c). Galectin-1 is a non-covalent homodimeric galectin, which preferentially recognizes Galβ1,4GlcNAC (LacNAc) sequences, which can be present on N- or O-linked glycans⁶⁰. Galectin-1 affects the interaction of tumour cells with endothelial cells, which is critical in invasion and metastasis⁶¹. Galectin-1 has been observed to arbitrate the adhesion of cancer cells to the ECM; Laminin, fibronectin, and other glycoproteins presented in the basement membrane provide the necessary epitopes for Galectin-1-cell-ECM cross-linking^62-64. Nam et.al. confirmed the binding of Galectin-1 to the cell surface via its interaction with ITGB1 in MDA MB231 cells⁶⁵. As Galectin-1 expression is at least in part dependent on the constitutive activation of the AP1 transcription complex, it is one more member of cell adhesion molecules regulated by AP-1 transcription factors⁶⁶. In summary, this study shows that the transcription factor Fra-2 by virtue of its multiple properties, can activate genes involved in cell adhesion at either the receptor or ligand level, thus promoting adhesion to the endothelium and tumour metastasis. This even takes place in the absence of initial molecules, such as selectins, by activation of other downstream genes which launch the adhesion. Even though Fra-2 appears to be an essential component in the metastasis process through the regulation of several adhesion molecules, it is difficult to envisage Fra-2 as a potential therapeutic target because of its multiple interactions in its function as a transcription factor. Deletion of Fra-2 leads to an early lethality in mice: at birth, knockout puppies suffer from a severe growth defect and die within the first week⁶⁷. Our results furthermore show that the transcription factor Fra-2 plays an ambivalent function in the metastasis of breast cancer. In the presence of selectins, Fra-2 promotes the adhesion of tumour cells to the endothelium due to its influence on the expression of selectin ligands as shown in our in vitro-studies¹⁰. Yet, as shown in select mice, Fra-2 can also promote metastasis in the absence of selectins, although more slowly, by activation of selectin-independent adhesion processes. This finding highlights the important role of Fra-2 as a regulator of CAMs of adhesion cascade in breast cancer metastasis.

Acknowledgement

We are grateful for the excellent technical assistance of Tobias Gosau, Jennifer Schroeder-Schwarz and Christine Knies. The research was partially supported by the Basic Research Program at HSE University and funded by the Russian Academic Excellence Project '5-100'.

Declaration

Funding

No funding

Competing interest

The authors declare that they have no competing interests.

Data availability

The datasets generated during and/or during the current study are available from the corresponding author on reasonable request. The raw data were deposited in the Gene Expression Omnibus database (www.ncbi.nlm.nih.gov/geo/) under accession no. GSE148089.

Code availability

No code

Author Contributions

Conceptualization: K.M.L., U.S. and C.S.; Methodology: S.A., J.K., D.V.M. and C.S; Data Acquisition / Analysis: S.A., J.K., D.V.M., T.R.S., S.L., K.M.L., D.W., A.G.T. and C.S.; Wrote the Manuscript: S.A., D.W., U.S. and C.S.; Figures: S.A., C.S.; Supervision: K.M.L., D.W., C.S. and U.S. All authors reviewed the Manuscript.

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Table 1. Primer sequences of genes used for qRT-PCR

Table 2. Selection of genes, which were deregulated by Fra-2 overexpression in scid mice. The entire list of data is deposited in the Gene Expression Omnibus database (see Data availability).

Gene Symbol	Gene title	control scid Avg Signal (log2)	Fra-2 cl1 scid Avg Signal (log2)	Fold Change
control scid vs Fra-2 cl 1 scid tumour Increase
GPR116	G protein-coupled receptor 116	5,75	7,9	4,44
TSPAN8	tetraspanin 8	5,89	7,72	3,55
ITGB4	integrin, beta 4	9,67	11,1	2,7
DSC2	desmocollin 2	7,75	9,14	2,64
L1-CAM	L1 cell adhesion molecule	6,11	7,35	2,36
ITGA10	integrin, alpha 10; integrin alpha-10-like	6,62	7,83	2,31
control scid vs Fra-2 cl 1 scid tumour Decrease
MAN1A1	mannosidase, alpha, class 1A, member 1	10,27	6,68	-12,02
SRPX	sushi-repeat containing protein, X-linked	11,66	9,24	-5,37
TNC	tenascin C	9,67	7,27	-5,27
CTSL1	cathepsin L1	10,42	8,6	-3,55
CXCR4	chemokine (C-X-C motif) receptor 4	7,53	6,07	-2,75
MAN2A1	mannosidase, alpha, class 2A, member 1	10,26	8,86	-2,63
ITGB8	integrin, beta 8	8,4	7,17	-2,33
ALCAM	activated leukocyte cell adhesion molecule	12	10,83	-2,25

Gene Symbol	Gene title	control scid Avg Signal (log2)	Fra-2 cl2 scid Avg Signal (log2)	Fold Change
control scid vs Fra-2 cl2 scid tumour Increase
CTSS	cathepsin S	7,66	9,44	3,41
TSPAN6	tetraspanin 6	8,77	10,12	2,55
MGAT4A	mannosyl (alpha-1,3-)-glycoprotein beta-1,4-N-acetylglucosaminyltransferase, isozyme A	6,78	8,1	2,49
control scid vs Fra-2 cl2 scid tumour Decrease
MMP1	matrix metallopeptidase 1	8,98	5,46	-11,47
ST8SIA4	ST8 alpha-N-acetyl-neuraminide alpha-2,8-sialyltransferase 4	8	6,34	-3,15
B4GALT5	UDP-Gal:betaGlcNAc beta 1,4- galactosyltransferase, polypeptide 5	14,54	13,02	-2,87
PLAUR	plasminogen activator, urokinase receptor	11,06	9,61	-2,72
ITGB8	integrin, beta 8	8,28	6,97	-2,47
CSGALNACT2	chondroitin sulfate N-acetylgalactosaminyltransferase 2L	11,79	10,49	-2,46

Table 3. Validation of microarray results by qRT-PCR of selected genes.

Table 4. Selection of genes, which were deregulated by Fra-2 overexpression in select mice. The entire list of data is deposited in the Gene Expression Omnibus database (see Data availability).

Gene Symbol	Gene title	control select Avg Signal (log2)	Fra-2 cl1 select Avg Signal (log2)	Fold Change
control select vs Fra-2 cl 1 select tumour Increase
LGALS1	lectin, galactoside-binding, soluble, 1	10,34	13,22	7,39
MTA2	metastasis associated 1 family, member 2	8,93	10,79	3,62
B4GALT6	UDP-Gal:betaGlcNAc beta 1,4galactosyltransferase, polypeptide 6	7,71	9,17	2,76
ADRM1	adhesion regulating molecule 1	8,01	9,38	2,6
CTTN	cortactin	9,17	10,52	2,54
GALNT11	UDP-N-acetyl-alpha-D-galactosamine:polypeptide N-acetylgalactosaminyltransferase 11 (GalNAc-T11)	7,32	8,44	2,17
BABAM1	BRISC and BRCA1 A complex member 1	9,77	10,82	2,07
control select vs Fra-2 cl 1 select tumour Decrease
CTSO	cathepsin O	10,86	7,66	-9,17
MGAT5	mannosyl (alpha-1,6-)-glycoprotein beta-1,6-N-acetyl-glucosaminyltransferase	10,86	8,07	-6,92
MAN1A1	mannosidase, alpha, class 1A, member 1	11,12	8,44	-6,39
MMP2	matrix metallopeptidase 2	8,75	6,15	-6,04
CTSL1	cathepsin L1	11,16	8,67	-5,62
LUM	lumican	6,71	4,52	-4,56
PDGFC	platelet derived growth factor C	11,41	9,54	-3,66
MANBA	mannosidase, beta A	8,93	7,31	-3,07
LDOC1	leucine zipper, downregulated in cancer 1	6,58	5,18	-2,63
SPARC	secreted protein, acidic, cysteine-rich (osteonectin)	8,79	7,41	-2,59
GALNT1	UDP-N-acetyl-alpha-D-galactosamine:polypeptide N-acetylgalactosaminyltransferase 1 (GalNAc-T1)	13,99	12,69	-2,46
ZEB2	ZEB2	7,86	6,58	-2,43
GALNT7	UDP-N-acetyl-alpha-D-galactosamine:polypeptide N-acetylgalactosaminyltransferase 7 (GalNAc-T7)	11,26	10,11	-2,22
HAPLN3	hyaluronan and proteoglycan link protein 3	6,88	5,73	-2,21
SELPLG	selectin P ligand	6,78	5,68	-2,14
ST6GALNAC5	ST6 (alpha-N-acetyl-neuraminyl-2,3-beta-galactosyl-1,3)-N-acetylgalactosaminide alpha-2,6-sialyltransferase 5	6,16	5,15	-2,02

Gene Symbol	Gene title	control select Avg Signal (log2)	Fra-2 cl2 scid Avg Signal (log2)	Fold Change
control select vs Fra-2 cl 2 select tumour Increase
SRGN	serglycin	8,46	13,88	42,74
CTTN	cortactin	9,17	10,42	2,36
ESAM	endothelial cell adhesion molecule	6,47	7,52	2,06
control select vs Fra-2 cl 2 select tumour Decrease
CDON	cell adhesion associated, oncogene regulated	9,79	7,02	-6,83
MMP2	matrix metallopeptidase 2	8,75	6,01	-6,65
CD99	CD99 molecule	11,56	8,86	-6,53
MANBA	mannosidase, beta A	8,93	6,55	-5,19
PLAUR	plasminogen activator, urokinase receptor	11,97	9,7	-4,84
CTSB	cathepsin B	12,27	10,13	-4,39
DSG2	desmoglein 2	14,58	12,53	-4,14
OGT	O-linked N-acetylglucosamine (GlcNAc) transferase	12,93	10,88	-4,12
SMAD4	SMAD family member 4	10,69	8,77	-3,8
SMAD2	SMAD family member 2L	11,16	9,53	-3,08
CTSL1	cathepsin L1	11,16	9,67	-2,8
GLB1	galactosidase, beta 1	8,94	7,49	-2,72
ST8SIA4	ST8 alpha-N-acetyl-neuraminide alpha-2,8-sialyltransferase 4	7,3	5,86	-2,71
GJB2	gap junction protein, beta 2	7,8	6,39	-2,67
SELPLG	selectin P ligand	6,78	5,39	-2,62
MAN2B2	mannosidase, alpha, class 2B, member 2	8,85	7,56	-2,44
ZEB2	ZEB2	7,86	6,57	-2,44
SMAGP	small cell adhesion glycoprotein	9,13	8,04	-2,13
JUNB	jun B proto-oncogene	8,12	7,07	-2,07

Table 5. Validation of microarray results by qRT-PCR of selected genes.

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Editorial decision: Minor revisions needed
07 Jul, 2021
Reviews received at journal
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Reviewers invited by journal
18 Jun, 2021
Editor assigned by journal
03 Jun, 2021
First submitted to journal
03 Jun, 2021

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Fra-2 Overexpression Upregulates Pro-metastatic Cell-adhesion Molecules, Promotes Pulmonary Metastasis and Reduces Survival in a Spontaneous Xenograft Model of Human Breast Cancer

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