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From the Department of Oncology,* and the Lundberg Laboratory for Cancer Research, Department of Pathology,
the Gothenburg, University, Sahlgrenska University Hospital, Gothenburg; the Department of Genetics and Pathology,
Rudbecklaboratoriet, Uppsala; and the Swegene Facility for Bioinformatics,
Gothenburg, University/Mathematical Sciences, Chalmers University of Technology, Gothenburg, Sweden
| Abstract |
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The fusion gene FUS-DDIT3 encodes a protein consisting of the N-terminal half of the FUS protein juxtaposed to the DNA-binding basic leucine zipper transcription factor DDIT3 (also known as CHOP or GADD153).5,6 The FUS-DDIT3 protein can be found in the nuclei of MLS/RCLS cells and maintains the capacity of DDIT3 to form dimers with other leucine zipper-possessing proteins.5 These and other observations suggest that FUS-DDIT3 may act as an abnormal transcription factor.7
FUS (also known as TLS), EWSR1, and TAF15 (the latter also known as TAF2N, TAFII68, or RBP56) are closely related genes that encode RNA-binding proteins. All three genes form fusion oncogenes with several alternative transcription factor-encoding genes.8 Each fusion combination is found in a distinct tumor type.
The mechanism behind the strict tumor-type specificity of these and many other fusion genes has long been the subject of debate.9-11 In "instructive" models, the fusion protein controls cell fate decisions, leading to development of a particular type of tumor. Conversely, in "noninstructive" models, the translocations occur only in susceptible committed cell types as a result of a cell type-specific translocation mechanism, or the fusion protein acts as an oncogene only in a susceptible committed cell type. Secondary events are required for tumor development in both models.
In the present study, we have analyzed the effects of the FUS-DDIT3 fusion gene and overexpression of the normal DDIT3 and the 5' part of FUS in the low-differentiated human fibrosarcoma cell line HT1080. Stable transfectant clones were analyzed for tumor formation in severe combined immunodeficient (SCID) mice, and the morphology of the resulting tumors was studied. Microarray analysis was used for expression profiling of the transfected cell lines, and the cells were also tested in vitro for their responsiveness to adipogenic factors.
| Materials and Methods |
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Polymerase chain reaction (PCR) fragments containing the full-length coding regions of FUS-DDIT3 type II12 , DDIT3, or the sequences encoding the first 180 amino acids of FUS were cloned into a pEGFPN1 vector (Clontech) in-frame with the enhanced green fluorescent protein (EGFP) sequence as described previously.13 The resulting vectors were designated pFUS-DDIT3EGFP, pDDIT3-EGFP, and pFUSaEGFP. All vectors also contained a G418 resistance selection gene.
Cell Culture and Transfection
The fibrosarcoma cell line HT1080 and MLS cell lines 402-912 and MLS 2645-94 were stored in liquid nitrogen and cultivated in RPMI 1640 (Life Technologies, Grand Island, NY) supplemented with 8% fetal calf serum. Cultures were split 1:3 twice every week. The cells were harvested by trypsination, and 3 x 105 cells were seeded into 10-cm2 flasks and transfected the following day using 10 µl of FuGENE 6 transfection reagent (Roche, Indianapolis, IN) and 3 µg of plasmid DNA per flask. The cells were transferred to 75-cm2 culture flasks after 48 hours, and G418 (Sigma, St. Louis, MO) was added to a final concentration of 800 µg/ml. After 3 days, the G418 concentration was reduced to 500 µg/ml. Surviving cells were harvested after 10 days and seeded in 96-well microtiter plates at a density of 30 cells/plate. Clones showing nuclear EGFP fluorescence were expanded in the presence of 200 µg G418/ml, and recombinant protein expression was confirmed by Western blot analysis.
In Vitro Adipogenesis
pFUS-DDIT3EGFP-transfected, pDDIT3EGFP-transfected, and wild-type HT1080 cells were seeded in flasks and cultured in RPMI 1640 until they reached 100% confluence, after which the medium was changed to adipogenesis induction medium (PT3004 containing human recombinant insulin, dexamethasone, indomethacin, and 3-isobutyl-L-methylxanthine [IBMX]; Cambrex, East Rutherford, NJ) or maintenance medium (MM; RPMI 1640 containing 8% fetal calf serum). The cells were treated with adipogenesis induction medium for 3 days, followed by 1 to 3 days in MM. This was repeated three times. Control cultures were fed with only MM following the same schedule. After completed cycles, the cells were cultured for 7 more days in MM with replacement of the medium every 2 to 3 days. The cells were inspected using a microscope, and accumulation of fat was assessed by staining the cells with Oil Red O after fixation with 4% buffered formalin.
Western Blot Analysis
Western blot of total proteins from cultured cells was performed after electrophoresis using precast 3 to 8% NuPage Tris-acetate gels (Invitrogen, Carlsbad, CA), followed by transfer in a Novex minigel electrophoresis apparatus (Novex, San Diego, CA) to Immobilon membranes (Millipore, Billerica, MA) according to the manufacturers recommendations. The procedures for antibody binding and detection were as described by the suppliers of the antibodies. The DDIT3 protein was detected using a polyclonal rabbit antiserum (GADD 153, R20, sc793; Santa Cruz Biotechnology, Santa Cruz, CA), and the FUS protein was detected with a polyclonal rabbit antiserum against the N terminus of FUS.
Genome-Wide Gene Expression Analysis
Total RNA was extracted from cultured cells using the Trizol method (Invitrogen). The RNA was further purified using a Qiagen RNAeasy kit and stored at 140°C. Five micrograms of RNA was used for cDNA synthesis with Cy3- and Cy5-labeled nucleotides. cDNA labeling and hybridization to microarray glasses were performed according to the Pronto! Plus Direct Labeling v1.2 labeling and hybridization kit (InVitro, Stockholm, Sweden).
Microarrays were produced at the Swegene DNA Microarray Resource Center, Department of Oncology, Lund University (Lund, Sweden). Human array-ready oligonucleotide libraries (version 2.1, catalog no. 810516; and version 2.1.1 upgrade, catalog no. 810518), comprising approximately 27,000 unique probes representing 23,707 genes, were obtained from Operon Biotechnologies (Cologne, Germany). Probes were dissolved in Universal Spotting Solution (Corning, Acton, MA) and printed in duplicate on aminosilane-coated glass slides (UltraGAPS, catalog no. C40017; Corning) using a MicroGrid2 robot (BioRobotics, Cambridgeshire, UK) equipped with MicroSpot 10K pins (BioRobotics). After printing, arrays were left in a desiccator to dry for 48 hours, rehydrated for 1 second over steaming water, snap-dried on a hot plate (98°C), and UV-cross-linked (800 mJ/cm2).
Image and Data Analysis
Hybridized microarrays were scanned using an Agilent G2565AA microarray scanner (Agilent Technologies, Palo Alto, CA). Fluorescence intensities were extracted using Gene Pix Pro 4.0 software (Axon Instruments Inc., Foster City, CA), and uploaded into Bio Array Software Environment (http://base.thep.lu.se) for further analysis. The LOWESS algorithm14,15 was used for normalization.
Minimum median intensity was set to 1 to avoid data loss when the ratio between the samples and the reference cell line (wild-type HT1080) was being calculated. Genes with differences of at least threefold in signal intensity between the HT1080 reference cell line and the transfected HT1080 variants were scored as up- or down-regulated. Genes with a normalized intensity below 25 in the transfected cell lines were rejected from the lists of up-regulated genes. Similarly, genes with a normalized intensity lower than 25 in the HT1080 reference were rejected from the lists of down-regulated genes. RNA from the MLS cell line 402-91 was also tested, with the HT1080 cell line as a reference.
Statistical Analysis
To estimate the statistical significance of the overlap between differentially expressed genes in 402-91 cells and differentially expressed genes in the pFUS-DDIT3EGFP-and pDDIT3EGFP-transfected lines, two sets of genes corresponding to the up- and down-regulated genes in 402-91 cells were selected at random from the total of 23,707 genes. Similarly, two sets of genes corresponding to up- and down-regulated genes in one of the transfected lines were randomly selected. The number of genes that were identical in the randomly selected groups was then observed. This experiment was repeated 107 times for each pair of up- or down-regulated gene sets.
Quantitative Reverse Transcriptase-PCR Analysis
Total RNA was isolated, and cDNA was generated as described above but without labeled nucleotides. The primer sequences were as follows (F, forward; R, reverse): CTGFF, 5'-CCG TAC TCC CAA AAT CTC CA-3'; CTGFR, 5'-GTA ATG GCA GGC ACA GGT CT-3'; DNAJA1F, 5'-ACT GGA GCC AGG CGA TAT TA-3'; DNAJA1R, 5'-GAA GCC ACA CAG TGC TTC AA-3'; EFEMP1F, 5'-TGC CAT CAG ACA TCT TCC AG-3'; EFEMP1R, 5'-TGT GCG GAA GGT CCC TAT AC-3'; HSPA1F, 5'-CCG AGA AGG ACG AGT TTG AG-3'; HSPA1R, 5'-GCA GCA AAG TCC TTG AGT CC-3'; MMP3F, 5'-CAG GCT TTC CCA AGC AAA TA-3'; MMP3R, 5'-GTG CCC ATA TTG TGC CTT CT-3'; NPAS2F, 5'-GCC AGA CCG TGT TTC AAA AT-3'; NPAS2R, 5'-AGT AGC GAG TCC TGC TGC TC-3'; PBEF1F, 5'-GGA GCA TCT GCT CAC TTG GT-3'; PBEF1R, 5'-TCG CTG ACC ACA GAT ACA GG-3'; PCNAF, 5'-AAA ATT GCG GAT ATG GGA CA-3'; PCNAR, 5'-GCT GGC ATC TTA GAA GCA GTT-3'; PTX3F, 5'-CCA ATG CGT TCC AAG AAG AT-3'; PTX3R, 5'-TCC ACC CAC CAC AAA CAC TA-3'; SERPINB2F, 5'-CTC AAC AAG TGG ACC AGC AA-3'; SERPINB2R, 5'-CCA TGT CCA GTT CTC CCT GT-3'; SKP2F, 5'-CAT TTC AGC CCT TTT CGT GT-3'; SKP2R, GGG CAA ATT CAG AGA ATC CA-3'; VEGFF, 5'-CCC ACT GAG GAG TCC AAC AT-3'; VEGFR, 5'-AAA TGC TTT CTC CGC TCT GA-3'; GAPDHF, 5'-GTG AAG GTC GGA GTC AAC G-3'; GAPDHR, 5'-GGT GAA GAC GCC AGT GGA CTC-3'; ONP54F, 5'-AGC CCA CTT CTT ACC ACA AG-3'; and ONP56R, 5'-CCA AAT AGG TGC ATG AGT AG-3'.
Real-time PCR was measured in an ABI 7700 sequence detector (Applied Biosystems, Foster City, CA) with SYBR Green as fluorophore. Formation of expected PCR product was confirmed by agarose gel electrophoresis and melting curve analysis. Gene expression data were normalized against ONP and GAPD by geometric averaging.16
Tumor Growth in SCID Mice
Female FOX CHASE SCID mice were used as recipients of transfected HT1080 clones and nontransfected HT1080 cells. Cultured cells were harvested by trypsinization and suspended in phosphate-buffered saline (PBS) before injection. The mice were 5 to 6 weeks old at the time of inoculation. In two separate experiments, 10 and 2 million cells, respectively, were injected subcutaneously into the flank of SCID mice. In the first experiment, three animals were injected with the HT1080 wild-type cell line, and three series of five animals were injected with FUSaEGFP-, FUSD-DITT3EGFP-, and DDIT3EGFP-transfected cells, respectively. The second experiment comprised two animals injected with HT1080 wild-type cells and two groups of five animals injected with FUSD-DITT3EGFP- or DDIT3EGFP-transfected cells. The animals were examined regularly for evidence of tumor growth at the site of injection. Animals with palpable tumors were sacrificed, and the tumors were excised and measured. Pieces were frozen or fixed in formalin and embedded in paraffin for histological examination. Tissue sections (5 µm thick) were deparaffinized and stained following routine protocols.
Fluorescence Microscopy
The cultures were washed twice with PBS and fixed in 4% paraformaldehyde in PBS. After two more washes in PBS, the slides were mounted in an antifade mount containing the DNA binding dye 4,6-diamidino-2-phenylindole dihydrochloride and examined in a fluorescence microscope. Fresh, living cells and tissue fragments were examined directly in culture flasks using an inverted fluorescence microscope.
Immunohistochemistry
Series of 5-µm tissue sections were cut from each biopsy, deparaffinized, rehydrated, and stained with the following monoclonal antibodies: rat anti-mouse CD34 (ABcam ab8158; Abcam, Cambridge, MA) and mouse anti-human CD34 (DAKO, Dakopatts A/S, Glostrup, Denmark). Bound antibodies were visualized using the LSAB second antibody streptavidine biotin peroxidase system (DAKO). Stained sections were examined with a light microscope.
| Results |
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Tumor Growth in SCID Mice
In the first experiment, 107 cells were inoculated into each mouse. All mice, except one, rapidly developed large tumors, and in the following experiment, the amount of cells was reduced to 2 x 106 per animal. Judging from tumor sizes, the original HT1080 cells grew faster in SCID mice than the three transfected cell lines (Table 2)
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In humans, most MLS/RCLSs are characterized by a typical plexiform capillary network.17
We found that the tumors grown from cells carrying pFUS-DDIT3EGFP and pDDIT3EGFP contained capillary networks with morphology similar to that found in naturally occurring MLS, whereas the original HT1080 and pFUSaEGFP-transfected tumors mainly contained sinusoid vessels (Figure 2B
; Table 2
). The effects on capillary morphology prompted us to stain for CD34+ endothelial cells in the tumors. Immunohistochemical staining of tumor sections with antibodies to mouse endothelial cells (anti-CD34), revealed a rich abundance of mouse CD34+ vessels in all tumors (Figure 2B)
. No expression of human CD34 was detected, indicating that the capillary networks originated from mouse cells. We also noted that the original HT1080 and pFUSaEGFP transfectants contained considerably more vessels than the pFUS-DDIT3EGFP- and pDDIT3EGFP-transfected tumors.
In Vitro Adipogenesis Induction Experiments
The change in tumor phenotype observed in the SCID mice may reflect an increased sensitivity to in vivo factors that induce adipogenic development in the pDDIT3EGFP and pFUS-DDIT3EGFP cells. To test this hypothesis, we investigated the effects of an in vitro adipogenesis protocol on the HT1080 cells and the transfected sublines. Treatment with adipogenic factors induced a dramatic morphological change of pDDIT3EGFP-transfected cells. The cells developed large vacuoles, and some cells resembled the "signet ring cell" type of adipocytes (Figure 2C)
. Oil Red O staining showed increased fat accumulation, but the contents of the main vacuole in each cell showed only partial staining. The pFUS-DDIT3EGFP transfectants showed a slight increase in fat content compared with the original HT1080 line, but this was not increased in adipogenic medium, and no morphological response or formation of large vacuoles was seen. The original HT1080 cells grew faster than the transfected variants. Adipogenic factors induced minor morphological changes, with the formation of small vacuoles in a few cells and a slightly increased accumulation of fat (Figure 2C)
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Microarray Expression Analysis
Microarray-based expression analysis of HT1080 cells, pDDIT3EGFP- and pFUS-DDIT3EGFP-transfected HT1080 cells, and MLS-derived cell line 402-91, showed that only small numbers of genes were differentially expressed in the original HT1080 line and the transfected variant cell lines. In pDDIT3EGFP-transfected HT1080 cells, 36 genes were up-regulated and 98 were down-regulated, and in pFUS-DDIT3EGFP transfectants, 51 genes were up-regulated and 82 were down-regulated, three times or more compared with H1080 cells. In MLS line 402-91, 364 genes were up-regulated and 309 genes were down-regulated, three times or more compared with the HT1080 cells. To test whether FUS-DDIT3 and DDIT3 induced or repressed genes in an MLS/RCLS like pattern, we searched our microarray data for genes that were up- or down-regulated both in the transfected cell lines and in the 402-91 cell line. Many of the genes that were found to be differentially regulated in the pFUS-DDIT3EGFP- and pDDIT3EGFP-transfected HT1080 cells were also found to differ in expression between MLS 402-91 and the HT1080 cell line. (Tables 3 and 4
; Figure 3
). The probability of obtaining a similar overlap in up- and down-regulated genes by random selection among the 23,707 genes on the microarray is less than 107 in each of the comparisons. This shows that when DDIT3 and FUS-DDIT3 are expressed in HT1080 cells, their gene expression changes toward an MLS 402-91-like pattern. Supplemental data from the microarray experiments is available at http://ajp.amjpathol.org.
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| Discussion |
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FUS-DDIT3 has been previously reported to block terminal differentiation of preadipocytes in vivo and in vitro,19,20 and transgenic mice that expressed FUS-DDIT3 in all tissues developed MLS/RCLS-like tumors that arose in adipose tissue.21 These reports lead to the hypothesis that MLS/RCLS develops from preadipocytes carrying FUS-DDIT3 that are incapable of terminal differentiation.19-24
The observation that the majority of human MLS/RCLS tumors arise in or between the large muscles of the limbs, and rarely in adipose tissues,1 calls this hypothesis into question. In the present experiments with pFUS-DDIT3EGFP- and pDDIT3EGFP-transfected xenografted HT1080 cells, we observed a FUS-DDIT3- and DDIT3-induced switch from a low-differentiated sarcoma to an MLS/RCLS-like morphology. Microarray expression profiling showed that transfection of FUS-DDIT3 or DDIT3 induced a significantly changed expression pattern of HT1080 cells toward an MLS-like profile. Taken together, our morphology and microarray data show that FUS-DDIT3 can drive a primitive mesenchymal tumor cell toward an MLS/RCLS phenotype by promoting or inhibiting expression of a limited number of genes. Thus, FUS-DDIT3 may act as an instructive factor to induce a liposarcoma phenotype. Similar results, indicating instructive activities of EWS group fusion oncogenes, have been published or suggested by other research groups.25-28 A phenotype-determining mechanism was also suggested in 1914 by Peyton Rous29 for sarcomas caused in chickens by "filterable agents," later identified as oncogene-carrying retroviruses. Our results also show that expression of the nontransforming fusion partner gene DDIT3 induces a similar switch in morphology and expression pattern. These findings support the hypothesis that the 3' transcription factor partner genes of the EWS group of fusion oncogenes determine the tumor entity.
In vitro experiments with transfected mouse preadipocytic cells have shown that FUS-DDIT3 blocks adipocyte differentiation, because the cells fail to exit the cell cycle.22 In contrast, DDIT3-expressing cells exit the cell cycle and develop into adipocytes. This is compatible with our finding that HT1080 cells carrying pFUS-DDIT3EGFP failed to show increased fat accumulation on treatment with adipogenic factors, and similar results were obtained with the FUS-DDIT3-carrying MLS cell line 402-91 (data not shown). The control-cultured pFUS-DDIT3EGFP-transfected cells showed a minor increase in fat content compared with the original HT1080 cell line. This may be a sign of an interrupted adipogenesis, but it may also be an effect of the slower growth of the transfected cell line in adipogenic medium allowing time for more fat accumulation.
The negative in vitro adipogenesis results obtained with FUS-DDIT3-transfected 3T3-fibroblast or HT1080 cells or MLS/RCLS cell lines are in conflict with data obtained from primary cultures of MLS/RCLS tumor cells.24 However, unknown in vivo factors may add to the adipogeneic response, and these factors may be lost after prolonged in vitro culture. In vivo factors might also explain the fact that tumors from the transfected cells and human MLS/RCLS tumors contain lipoblasts far more advanced than those obtained after adipogenic treatment of MLS/RCLS cell lines or FUS-DDIT3-transfected preadipocytes.
The DDIT3-transfected HT1080 cells accumulated large amounts of fat, and many cells developed a "signet ring" lipoblast phenotype when treated with adipogenic factors in vitro. The original HT1080 cells showed a much weaker response. We speculate that forced expression of DDIT3 triggered the first steps of an adipocyte differentiation program that resulted in responsiveness to adipogenic factors.
Searches in our microarray results for FUS-DDIT3- and DDIT3-induced or -suppressed genes reported to have some role in adipogenesis identified DSIPI. DSIPI encodes a leucine zipper type of transcription factor that has been shown to inhibit adipogenesis.30 The reduced expression of DSIPI in FUS-DDIT3- and DDIT3-transfected cells may be an important factor behind the morphological shift seen in the SCID mouse tumors.
In previous studies, only FUS-DDIT3 (but not DDIT3) was found to transform normal cells or cause tumors in transgenes, thus excluding the normal DDIT3 as a transforming gene.19,21,22,31 Our observation that pDDIT3EGFP-transfected HT1080 cells grew as myxoid liposarcomas with the capillary network and abnormal lipoblasts shows that constitutive expression of the normal DDIT3 protein may induce an MLS-like morphology when expressed in a mesenchymal tumor. In this context, it is important to note that our DDIT3-carrying vector construct lacked the 5'-untranslated region of the DDIT3 transcript, which is known to play an important role in limiting production of the protein at a translation checkpoint.32 This critical part of the DDIT3 transcript is also deleted in the MLS/RCLS fusions. Both MLS/RCLS cells and our pDDIT3EGFP-transfected HT1080 cells contain more of variant DDIT3 than the levels of DDIT3 found in normal lipoblasts or adipocytes (data not shown). Further analysis of FUS/EWSR1-DDIT3-negative MLS/RCLS-like tumors is required to find out whether de-regulated DDIT3 expression may be associated with a liposarcoma phenotype.
Most MLS/RCLS tumors are characterized by a fine plexiform network of capillaries.17
A similar capillary network emerged in most tumors of pFUS-DDIT3EGFP- and pDDIT3EGFP-transfected cells (Figure 2)
. Tumors of original HT1080 or pFUSaEGFP-transfected cells showed a different pattern, dominated by poorly defined sinusoid vessels. Staining of tumor sections with anti-human and anti-mouse CD34 antibodies showed that all endothelial cells were of mouse origin. Thus, tumor-produced factors affect the angiogenesis and vessel morphology. The lower expression of VEGF in the FUS-DDIT3- and DDIT3-transfected cells may partially explain the differences in capillary formation. Another factor that may affect capillary morphology is interleukin-6.33
Interleukin-6 has recently been reported to be produced by MLS/RCLS cells and up-regulated in DDIT3- or FUS-DDIT3-transfected HT1080 cells.34
DOL54, an angiogenesis-inducing gene previously reported to be induced by DDIT3 and FUS-DDIT3,35
was equally expressed in HT1080 and its transfected variants (data not shown).
Our analysis showed that the expression of a limited number of genes was changed in the DDIT3- or FUS-DDIT3-containing HT1080 cells. The small overlap in differentially expressed genes between the two transfected cell lines may indicate that DDIT3 and its oncogenic derivative, FUS-DDIT3, differ with regard to their effects on target genes. This interpretation is supported by several other studies of the EWS group of fusion oncogenes, showing that addition of the N termini of EWSR1 or FUS protein to transcription factors changes their activities as transcriptional regulators. We found, however, that several of the differentially regulated genes, most notably stress-induced genes, were overexpressed both in DDIT3-transfected HT1080 cells and in the MLS 402-91 line. The pFUS-DDIT3EGFP-transfected HT1080 cells differed in this respect. It is possible that expression of DDIT3 or FUS-DDIT3 must exceed a threshold level before induction of stress response genes occurs and that the low level of FUS-DDIT3 in the transfected HT1080 cells was insufficient to trigger the stress response genes and some other DDIT3 target genes.
SERPINB2 was one of the most strongly up-regulated genes common to pFUS-DDIT3EGFP-transfected HT1080 cells and MLS cell lines. This gene was not induced in pDDIT3-transfected HT1080 cells, indicating an FUS-DDIT3-specific induction mechanism. Because FUS-DDIT3, but not DDIT3, is a transforming gene, SERPINB2 may be an important factor in the transformation process. SERPINB2, also known as PAI2, encodes a plasminogen activator inhibitor that may switch between different conformations.36 However, the protein has also been reported as a nuclear protein, binding to the pRB protein product of the retinoblastoma tumor suppressor gene.37 The multiple roles of the SERPINB2 protein in cell cycle control and extracellular matrix regulation make it interesting in the context of FUS-DDIT3-induced transformation, and this finding will be followed up in our continued research.
MLS-like tumors develop from adipose tissues in FUS-DDIT3 transgenic mice, whereas human MLS/RCLSs most often arise inside large muscles. The differences between naturally occurring human tumors and those developing in transgenic mice suggest that the target cells and/or microenvironmental requirements for transformation by FUS-DDIT3 may differ in the two species. We have reported previously that most pFUS-DDIT3EGFP-transfected human cells die shortly after the fusion protein is expressed,13
and the HT1080 cell line was no exception (Table 1)
. The single clone that we succeeded in retrieving was one of few stable FUS-DDIT3EGFP- expressing HT1080 clones observed in the cloning step. Sequencing of the inserted FUS-DDIT3 and Western blot confirmation of protein size showed that the cells expressed the expected EGFP-tagged type II FUS-DDIT3 protein but at a low level. The low level of FUS-DDIT3EGFP was probably of importance for the survival of this clone. The surviving clone may also have originated from a rare variant of the HT1080 cells that was compatible with expression of FUS-DDIT3. A similar selection mechanism may take place in the development of MLS/RCLS in humans. Observations of toxic effects have also been reported for the related EWSR1-FLI1 fusion oncogene found in Ewing sarcoma. Mutations or silencing of CDKN2A/p16 or TP53 were found to increase cell survival of EWSR1-FLI1-transfected cells.38
This suggests that cells with loss of p16 or p53 functions may be preferential target cells for EWSR1-FLI1 transformation. Similarly, unknown mutations or epigenetic changes may increase the compatibility with FUS-DDIT3 expression. In this context, it is interesting to note that the HT1080 cell line carries a normal copy of the TP53 but has deleted the CDKN2A/p16.
We conclude that forced expression of FUS-DDIT3 and the normal DDIT3 induces a switch in HT1080 cells toward an MLS/RCLS-like morphology and gene expression pattern. The results also indicate that FUS-DDIT3 and DDIT3 may act as instructive factors to induce a liposarcoma phenotype and that the transcription factor partner DDIT3 of FUS-DDIT3 is the tumor type determining part of this EWS-group fusion oncogene.
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| Footnotes |
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Supported by the Swedish Cancer Society, the King Gustaf V Jubilee Clinic Cancer Research Foundation, the Assar Gabrielsson Research Foundation, the Johan Jansson Foundation for Cancer Research, and the IngaBritt and Arne Lundberg Cancer Research Foundation.
Supplemental material for this article can be found on http://ajp.amjpathol.org.
Accepted for publication January 6, 2006.
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