Abstract
Malignant peripheral nerve sheath tumors (MPNSTs) are aggressive soft tissue tumors that occur either sporadically or in patients with Neurofibromatosis Type 1. The malignant transformation of the benign neurofibroma to MPNST is incompletely understood at the molecular level. We have determined the gene expression signature for benign and malignant PNSTs and found that the major trend in malignant transformation from neurofibroma to MPNST consists of the loss of expression of a large number of genes, rather than widespread increase in gene expression. Relatively few genes are expressed at higher levels in MPNSTs and these include genes involved in cell proliferation and genes implicated in tumor metastasis. In addition, a gene expression signature indicating p53 inactivation is seen in the majority of MPNSTs. Subsequent microRNA profiling of benign and malignant PNSTs indicated a relative downregulation of miR-34a in most MPNSTs compared to neurofibromas. In vitro studies using the cell lines MPNST-14 (NF1 mutant) and MPNST-724 (from a non-NF1 individual) show that exogenous expression of p53 or miR-34a promotes apoptotic cell death. In addition, exogenous expression of p53 in MPNST cells induces miR-34a and other miRNAs. Our data shows that p53 inactivation and subsequent loss of expression of miR-34a may significantly contribute to the MPNST development. Collectively, our findings suggests that deregulation of miRNAs have a potential role in the malignant transformation process in peripheral nerve sheath tumors.
Keywords: peripheral nerve sheath tumors, malignant transformation, expression profiling, microRNA
Introduction
Malignant peripheral nerve sheath tumors (MPNSTs) are aggressive sarcomas that are associated with a 5-year survival rate of ∼40% [1.]. Approximately half of MPNSTs occur as sporadic cases; the remainder arises in patients with the autosomal dominant genetic disorder Neurofibromatosis Type 1 (NF1). NF1 is caused by inactivating mutations in the NF1 gene and affects 1:3000 live births. It is associated with a significant risk of developing malignancies, especially MPNSTs that occur in NF1 patients with an incidence of ∼10% [2–4.]. In NF1 patients, MPNSTs most often develop from pre-existing neurofibromas. Screening for malignant transformation in NF1 patients is difficult due to the large number and diverse anatomical sites of neurofibromas that occur in these patients. As a result, most MPNSTs are identified at a late clinical stage [1, 2.].
The development of MPNSTs from neurofibromas is a complex process and a number of studies have described different molecular findings in these lesions. Both NF1-associated and sporadic MPNSTs are characterized by loss of NF1 expression [5.] that leads to increased RAS signaling and increased cell proliferation [6.]. Molecular events such as DNA amplification with gain of expression of TOP2A and EGFR [7, 8.], and inactivation of CDKN2A and p53 [9–11.] have been implicated in malignant transformation towards MPNSTs. Yang et al. [12.] using mouse model of NF1, demonstrated that for neurofibroma formation, Nf1 haploinsufficiency is required in the non-neoplastic cells of the tumor microenvironment and also implicated mast cells as critical mediators of neurofibroma initiation. Earlier studies have shown differences in gene expression patterns between neurofibromas and MPNSTs and between dermal and plexiform neurofibromas [13, 14.]. However, NF1 associated and sporadic MPNSTs could not be distinguished by gene expression profiling [15.]. Miller et al [16.] demonstrated downregulation of Schwann cell differentiation markers in MPNST and showed that reduction of TWIST1 expression inhibited chemotaxis.
Regulation of gene expression can occur through post-transcriptional modification by microRNAs (miRNAs). These small noncoding RNAs are 18–22 nucleotides in length [17.] and have been implicated in apoptosis, proliferation and differentiation [18.]. Using murine and human cell lines, it was recently shown that the tumor suppressor function of the transcription factor p53 involves up-regulation of a network of microRNAs that includes miR-34a [19.]. Expression of miR-34a in turn regulates a large number of genes associated with cell cycle and proliferation [20.]. In order to understand the potential role of miRNAs in the malignant transformation process, we analyzed the global mRNA and miRNA expression profiles of peripheral nerve sheath tumors using gene microarrays and used in vitro approaches to study the possible role of miR-34a in malignant transformation in MPNSTs.
Materials and Methods, (see Supplementary Methods Section for details)
Tumor samples
Ninety seven fresh frozen tumor samples (20 MPNSTs, 37 neurofibromas, 27 schwannomas and 13 synovial sarcomas (SS)) were obtained and centrally reviewed (CDMF). Clinicopathologic features of the tumor samples are shown in Table 1 and supplementary table 1.
Table 1.
Summary of Summary of clinical, histopathologic and molecular data for the PNST and SS cases used in this study.
| Clinical Fearure | MPNST | neurofibroma | schwannoma | synovial sarcoma |
|---|---|---|---|---|
| Sample size (n) | 20 | 37 | 27 | 13 |
| Male gender, (%) | 55 | 35 | 28 | 42 |
| Median age (yr) | 33 | 34 | 49 | 33 |
| Median tumor size (cm) | 9 | 6 | 4.1 | 21 |
| NF1 (%) | 55 | 67 | nd | nd |
| SYT-SSX fusion (%) | 0 | nd | nd | 100 |
nd, not done
Array analysis
The Stanford cDNA microarrays used in the study contain approximately 42,000 spots representing about 28,000 genes or expressed sequence tags (http://www.microarray.org/). A total of 5229 genes showed significant variation in expression and were used for further analysis. Unsupervised hybrid hierarchical clustering, SAM analysis and gene set enrichment analysis were performed as described in Supplementary methods section.
The Stanford microRNA microarrays used in the study contained 482 known and predicted human miRNAs and 28 control probes (Ambion, Austin, TX, USA) spotted in duplicates, see Supplementary methods section for details.
Cell culture and transfection, plasmid constructs, cell viability assays and qRT-PCR
Two MPNST cell lines (JAF) were used for in vitro studies. MPNST-14 cells were established from a young NF1 male, the p53 is WT in exons 4–10. MPNST-724 cells were established from a non-NF1 primary tumor with p53 mutation (codon 254 deletion) and deletion of other p53 allele. See Supplementary methods section, Supplementary table 2 and Supplementary figure 1 for details.
Results
Global gene expression modules of peripheral nerve sheath tumors
Gene expression profiling was performed on 20 MPNSTs, 26 neurofibromas, 21 schwannomas and 13 SS cases. Using the gene filtering described in Materials and Methods, 5229 genes passed the criteria and were used for analysis. Unsupervised hybrid clustering separated the 80 tumors into two main groups. The majority of the benign tumors (neurofibromas and schwannomas) clustered in branch A of the dendrogram, leaving the majority of the malignant tumors (MPNSTs and SS) in branch B (Figure 1). Within branch B the MPNSTs and SS formed discrete subgroups. Ten of the 13 SS clustered together on a small sub-branch with 2 other SS on an adjacent sub-branch, a finding consistent with the relatively homogeneous gene expression profile reported for this tumor [21.]. One SS (STT3994) was distinct from the other 12 SS and had an unusual SYT-SSX fusion transcript (see below). The 20 MPNSTs show a more complex clustering pattern with 9/20 cases on a small sub-branch of branch B and 6 MPNSTs clustering along with the 12 SS. The remaining 5 MPNST cases were distributed amongst the neurofibromas and schwannomas in branch A (Figure 1). The 3 MPNSTs (STT 3920, 4627 and 3990) that clustered with schwannomas in branch A showed diffuse S100 reactivity as well as histologic features indicative of schwannian differentiation. Of the 2 MPNSTs (STT4532 and 4541) that clustered with neurofibromas, one case (STT4541) was histologically a low grade nerve sheath tumor. Six neurofibromas clustered with MPNSTs in branch B however, clustering of MPNSTs and neurofibromas was not associated with known NF1 status of the tumor and there were no histologic or molecular features detected that distinguished these 6 cases from the other neurofibromas.
Figure 1.
Unsupervised hierarchical cluster analysis of gene expression profiles of 67 nerve sheath tumors and 13 synovial sarcomas using 5229 genes that passed the filter criteria. Each row represents the relative levels of expression for a single gene across the samples tested. Each column shows the expression levels for a single sample. The red and green colors indicate high and low expression, respectively. Grey indicates missing data. The two main branches of the dendrogram labeled A and B predominantly separate the benign tumors (neurofibroma and schwannoma) from the malignant tumors (MPNSTs and SS).
The major distinction between neurofibromas and MPNSTs is the lower level of expression of a large number of genes in MPNSTs rather than a widespread increase in expression levels. The 5229 differentially expressed genes separated into 4 major transcriptional gene groups. The gene ontology terms associated with each transcriptional gene group are given in Table 2 and the complete gene list is given in supplementary table 3.
Table 2.
Gene ontology terms associated with each group of gene in the expression analysis
| Gene Ontology term | Cluster frequency | Gene frequency in background |
Corrected P-value |
|---|---|---|---|
| Group 1 | |||
| nucleic acid binding | 339 out of 1881 genes, 18.0% | 508 out of 3379 genes, 15.0% |
1.41E-05 |
| RNA binding | 84 out of 1881 genes, 4.5% | 108 out of 3379 genes, 3.2% | 0.00056 |
| zinc ion binding | 220 out of 1881 genes, 11.7% | 332 out of 3379 genes, 9.8% | 0.01315 |
| Group 2 | |||
| enzyme regulator activity | 36 out of 468 genes, 7.7% | 133 out of 3379 genes, 3.9% | 0.01088 |
| Group 3 | |||
| cell division | 21 out of 409 genes, 5.1% | 44 out of 3379 genes, 1.3% | 2.96E-06 |
| cell cycle | 40 out of 409 genes, 9.8% | 137 out of 3379 genes, 4.1% | 1.96E-05 |
| M phase of mitotic cell cycle | 18 out of 409 genes, 4.4% | 37 out of 3379 genes, 1.1% | 2.68E-05 |
| mitosis | 18 out of 409 genes, 4.4% | 37 out of 3379 genes, 1.1% | 2.68E-05 |
| M phase | 20 out of 409 genes, 4.9% | 46 out of 3379 genes, 1.4% | 5.04E-05 |
| mitotic cell cycle | 19 out of 409 genes, 4.6% | 45 out of 3379 genes, 1.3% | 0.00018 |
| skeletal development | 13 out of 409 genes, 3.2% | 26 out of 3379 genes, 0.8% | 0.00148 |
| microtubule cytoskeleton organization |
8 out of 409 genes, 2.0% | 11 out of 3379 genes, 0.3% | 0.00326 |
| microtubule-based process | 12 out of 409 genes, 2.9% | 24 out of 3379 genes, 0.7% | 0.00369 |
| regulation of mitosis | 7 out of 409 genes, 1.7% | 11 out of 3379 genes, 0.3% | 0.04947 |
| Group 4 | |||
| receptor activity | 31 out of 162 genes, 19.1% | 211 out of 3379 genes, 6.2% | 1.75E-06 |
| MHC class II receptor activity | 6 out of 162 genes, 3.7% | 6 out of 3379 genes, 0.2% | 2.63E-06 |
| transmembrane receptor activity |
21 out of 162 genes, 13.0% | 126 out of 3379 genes, 3.7% | 7.20E-05 |
| signal transducer activity | 40 out of 162 genes, 24.7% | 375 out of 3379 genes, 11.1% |
0.0001 |
Percentage is based on the background genes for each group
SAM analysis of gene expression in MPNST vs. neurofibroma
SAM analysis was performed to identify genes that are differentially expressed between MPNST samples and benign peripheral nerve sheath tumors. CRABP1, BEX1, CPA3, DLK1, HIST1H2BD, CYTL1, LOC388152 and IGFBP2 were the 8 genes that were highly expressed in all MPNSTs relative to the benign nerve sheath tumors (FDR 1%). Large numbers of genes (∼2200) were expressed at lower levels in MPNSTs when compared to benign peripheral nerve sheath tumors. The genes with low levels of expression in MPNSTs include L1CAM, CDH1, ERBB3, MAL, SOX10, CRYAB, CD44, S100B and PMP22 (Figure 2). These genes have significant SAM negative scores. Genes such as L1CAM, CRYAB, SOX10 and S100B were previously reported to be downregulated in MPNSTs [16.], and MPNST often show only focal reactivity for S100B in immunohistochemistry. The complete list of genes differentially expressed in MPNSTs relative to neurofibromas is given in supplementary table 4.
Figure 2.
Overview of several expression patterns of groups of genes described in the text involved in cell cycle regulation, cell adhesion, metastasis and other gene networks. Some genes that are associated with more than one gene grouping appear more than once.
MPNSTs are known to display a variety of histological appearances and the diagnosis of MPNST is among the most difficult in sarcoma histopathology. In an effort to discover more genes that are differentially expressed between the malignant and benign nerve sheath tumors, we considered the 15 MPNSTs in branch B as a group distinct from the 5 cases that clustered with the benign peripheral nerve sheath tumors in branch A. We compared the gene expression levels of these 15 ‘core’ MPNSTs to ‘core’ neurofibromas (neurofibromas clustered in branch A of figure 1). This SAM analysis identified over 300 genes that are significantly upregulated in the ‘core’ MPNSTs (FDR 1%). Several genes such as CRABP1, CRABP2, IGF2, TPX2, ADNP, PBK, PTK7 FOXM1, TOP2A, TWIST1, and NEK2 (Figure 2) were upregulated in this group and these have been previously implicated in various cancers [22.]. The complete lists of high ranking positive and negative genes in ‘core MPNSTs’ and neurofibromas are listed in supplementary table 5 and 6 respectively.
Expression profiles in MPNST associated with known function
MPNSTs showed lower levels of expression of the NF1 gene with a fold change of 0.237 compared with neurofibromas. While numerically, most genes were expressed at lower levels in the majority of MPNSTs compared with benign nerve sheath tumors, a significant number of genes involved in cell division, cell proliferation, migration, and malignant transformation were expressed at higher levels in MPNSTs (Figure 2).
Cell proliferation signature
A large number of genes known to be involved in cell division and cell proliferation (NEK2, MN1, GAS1, CCNB2, CDC2, CDC6, CDC7, CDC45L, PBK, PTN, TTK, BUB1 and MCM6) were upregulated in the majority of MPNSTs compared to benign nerve sheath tumors. Whitfield et al [23.] described a ‘core set’ of genes (MCM4, MCM6, BUB1, PLK1, CCNB2, TOP2A, FOXM1 and MK167/MIB1) as a signature for cell proliferation in proliferating cells. Evaluation of expression profiles for these ‘core sets’ of genes in MPNSTs and other tumors revealed that the cell proliferation signature was a characteristic feature of MPNSTs and SS but not neurofibromas or schwannomas.
Loss of cell adhesion
Several cell adhesion genes, such as MCAM, CDH2, L1CAM, VCAM1, CD44, CD58, ALCAM, and ITGAs (integrins), were expressed at lower levels in MPNSTs relative to neurofibromas. E-cadherin (CDH1) was downregulated in both neurofibroma and MPNSTs compared to schwannomas and SS, whereas CDH2, a neuronal cell adhesion molecule, was downregulated in MPNSTs but expressed at higher levels in neurofibromas.
Metastatic signature
TWIST1, UBE2C and HMMR are implicated in malignant progression and metastasis [24, 25.]. Compared to the benign PNST, most MPNSTs and SS showed elevated expression of TWIST1 and UBEC2, while increased expression of HMMR was more frequently seen in MPNSTs alone. In MPNSTs, there was a significant downregulation of thrombospondin (THBS1 and THBS2, inhibitors of angiogenesis). The repression of thrombospondin leads directly to angiogenesis and tumor formation in mammary epithelial cells and kidney cells [26.].
Signaling pathways affected in MPNST
Gene set enrichment analysis [27.] was used to identify signaling pathways affected in MPNSTs. By comparing ‘core’ MPNSTs and ‘core’ neurofibromas, several signaling pathways were identified that appear associated with malignant transformation. Genes associated with signaling pathways (such as the extracellular matrix (ECM) pathway), cancer related genes involved in immune function, and genes involved in cell death were significantly downregulated in MPNSTs. The list of affected pathways ranked based on their enrichment score is given in Table 3. As an example, the data for the ECM pathway is shown in supplementary figure 2. The TGFB pathway related genes, such as TGFBR2, and STAT1, are downregulated in MPNSTs (Figure 2). We noticed relative low expression of several tumor suppressor genes (BMPR2, TGFBR2, CDH1, WNT5A, ITGAs, NF1, BCL2, PTCH and CDKN1B) in MPNSTs. In addition, MPNSTs were characterized by increased expression of several kinase family genes as shown in Figure 2. Although EGFR was highly expressed in a subset of MPNST cases (Figure 2), the SAM analysis did not rank EGFR as one of the high ranking genes in MPNSTs as this gene was also highly expressed in a subset of neurofibromas.
Table 3.
Gene set enrichment analysis of core neurofibromas and MPNSTs
| Gene Sets | Size | ES | NES | NOM p value |
|---|---|---|---|---|
| PIP3 signaling in B lymphocytes | 37 | 0.6385 | 1.8572 | 0.0000 |
| Extra cellular matrix Pathway | 26 | 0.5802 | 1.7145 | 0.0189 |
| Cancer immune function | 37 | 0.5731 | 1.6910 | 0.0370 |
| Cancer death | 55 | 0.5039 | 1.6773 | 0.0182 |
| Glycerolipid_metabolism | 28 | 0.5840 | 1.6758 | 0.0000 |
| HTERT_DOWN | 64 | 0.4757 | 1.6565 | 0.0526 |
| GPCRs Class A Rhodopsin-like | 33 | 0.4980 | 1.6518 | 0.0169 |
| mcalpain Pathway | 26 | 0.5314 | 1.6491 | 0.0167 |
| Keratinocyte Pathway | 39 | 0.4620 | 1.5182 | 0.0308 |
| JNK -MAPK Pathway | 51 | 0.4566 | 1.5166 | 0.0357 |
ES, enrichment score; NES, normalized enrichment score; NOM p val, normalized p value
Tissue microarray validation of EGFR expression
To confirm gene microarray findings, we evaluated the protein expression of EGFR in peripheral nerve sheath tumors and SS by immunohistochemistry. About 67% (46 of 68 cases) of MPNSTs and 64% (27 of 42 cases) of neurofibromas showed positive staining for EGFR. This is similar to the high levels of mRNA expression found on gene arrays in 60% (12 of 20 cases) and 57% (15 of 26 cases) of MPNST and neurofibromas, respectively. Synovial sarcomas stained for EGFR in 93% (14 of 15 cases) of the cases, with high levels of mRNA found in 84% (11 of 13 cases) on gene array analysis. Finally expression of EGFR was absent in all 22 schwannomas on the TMA (Figure 3A). By gene array analysis only 1 of 21 schwannomas showed high levels of EGFR expression. This was the only schwannoma that clustered with the malignant cases in branch B of Figure 1. Of the 68 MPNST cases represented on the tissue microarray, 44 were NF1-associated and 24 were sporadic cases. EGFR staining showed no significant correlation with NF1 status (66% of NF1-associated MPNSTs and 71% of sporadic MPNSTs showed EGFR staining) (Figure 3B). Representative examples of EGFR staining on peripheral nerve sheath tumors and synovial sarcoma are shown in Figure 3C–H.
Figure 3.

Graphical representation of the percentage of positive IHC for EGFR staining in: a) PNSTs and synovial sarcomas; b) NF1-associated and sporadic MPNSTs.
Representative TMA cores showing immunohistochemical staining of EGFR c) strong expression in MPNST; d) weak expression in MPNST; e) negative staining in MPNST; f) staining in neurofibroma; g) absence of staining in schwannoma and f) strong expression in a synovial sarcoma.
Loss of p53 function
Loss of p53 function has been associated with increased cell proliferation. We analyzed the expression patterns of the 38 genes that represent the ‘inactivated p53 associated proliferation signature’ [28.] in the neurofibromas and MPNSTs. The analysis revealed that several of these ‘p53 inactivation’ associated genes such as TOP2A, TTK, CDC2, HMMR, PTTG1 and UBE2C were upregulated in MPNSTs (Figure 4). Though most MPNSTs included in the analysis showed the signature for p53 inactivation, 4 MPNST tumor cases (STT4734, STT4737, STT4541 and STT3920) did not show the signature for p53 inactivation. Of these 4 cases, 2 (cases STT3920 and STT4541) clustered with the benign tumors in the unsupervised clustering shown in Figure 1. Only a single neurofibroma (case STT4538) showed the expression signature for p53 inactivation. Conversely, genes that were downregulated due to inactivation of p53 (PDE5A, TAGLN, CUL4B and UGCG) showed elevated expression in the majority of neurofibromas compared to MPNSTs (Figure 4).
Figure 4.
Expression levels of MPNSTs and neurofibromas for the gene signature that is associated with the inactivation of p53. Thirty eight of the 168 genes described by Milyavsky et al (37) to be differentially expressed after p53 inactivation were available for analysis in our study. The genes in the upper part of the figure are expressed at higher levels after p53 inactivation and show a higher level of expression in MPNST than in neurofibroma. The genes in the lower part of Figure 4 (shown in blue) are a group of 8 genes that are downregulated due to p53 inactivation in the study of Milyavsky (37) and are expressed at low levels in MPNSTs. A few MPNST cases (4 cases total) did not show the p53 inactivation signature and are highlighted in blue; 2 of these (STT 4541 and −3920) clustered with the benign PNSTs in branch A of Figure 1.
microRNA expression signature in PNSTs
miRNA expression profiling was performed for 482 known and predicted human miRNAs on 23 peripheral nerve sheath tumors (6 MPNSTs, 11 neurofibromas and 6 schwannomas). The 6 MPNSTs had also been used for mRNA profiling (Figure 1). Distinct miRNA expression profiles clearly distinguished MPNSTs from the benign tumors in unsupervised clustering using the 64 miRNAs that met the filtering criteria. Among the benign tumors, neurofibroma and schwannomas clustered separately (Figure 5a). Using significance analysis of microarrays (SAM) analysis, we identified the miRNAs that were differentially expressed in each peripheral nerve sheath tumor class. In comparison with benign tumors, five miRNAs (miR-214, miR-377, miR409-3p, miR-487b and miR-99b) were relatively upregulated and miR-517, miR-34a, miR-29a, miR-30e-5p and miR-27a were downregulated in MPNSTs (FDR 1%). The gene expression profiling data showed the gene signature for p53 inactivation in majority of MPNSTs as shown in Figure 4. Since p53 is a transcription factor and miR-34a is one of the direct transcriptional targets of p53 [19.] we selected miR-34a for further functional characterization. As a confirmation of the miRNA array data, quantification of miR-34a along with nine other differentially expressed miRNAs by qRT-PCR in five neurofibroma and MPNST patient’s tumor samples validated the microRNA array data (Figure 5b).
Figure 5.

a) MicroRNA expression profiling and unsupervised hierarchical clustering analysis of 23 peripheral nerve sheath tumors. Each row represents the relative levels of expression for a single miRNA and each column shows the expression levels for a single sample. The red or green color indicates relatively high or low expression, respectively, while gray indicates absent data points
b) qRT-PCR analysis of differentially expressed miRNAs in 5 MPNST and 5 neurofibroma samples. Relative values for each miRNA from five different neurofibroma and MPNST patients were averaged and plotted. Data represent mean ± SD.
c) Expression levels of p53-dependent miRNAs (miR-34a, miR34b, miR-34c, miR-638, miR-373*, miR-492, miR-126, miR-140, miR-491 and miR-296) in MPNST-14 and MPNST-724 cells compared to HEK-293 cells. Expression levels are normalized to U6 small RNA expression.
d) qRT-PCR analysis of p53 dependent miRNAs in MPNST-14 and MPNST-724 cells after transfection with wild type p53. Relative expression of miR-34a, miR-34b, miR-34c, miR-638, miR-373*, miR-492, miR-126, miR-140, miR-491 and miR-296 were normalized to U6.
Downregulation of miR-34a in MPNST is due to p53 inactivation
We determined the expression levels of 10 known p53 induced miRNAs [29.] including miR-34a, miR-34b, miR-34c, miR-638, miR-373*, miR-492, miR-126, miR-140, miR-491 and miR-296 in the MPNST cell lines. Comparison of expression levels of these miRNA in MPNST-14 and MPNST-724 cells with HEK-293 cells (p53 positive) shows that both these MPNST cell lines have at least 2–10 times lower levels of these p53 dependent miRNAs (Figure 5c).
Our mRNA and miRNA data analysis suggested that miR-34a transcript levels may depend on p53 activation in MPNSTs; to confirm this, we determined the transcript levels of miR-34a and other p53 dependent miRNAs by qRT-PCR after overexpressing wild type p53 in both the MPNST cell lines by transfection with wt-p53-GFP containing plasmid. We found a significant increase in the levels of miR-34a and 9 other p53 dependent miRNAs in these transfected cells (Figure 5d), confirming that in MPNST, miR-34a expression is dependent on p53 activation status.
Ectopic expression of p53 or miR-34a promotes apoptotic cell death in MPNST cells
The MPNST-14 cell line is deficient in miR-34a expression and we hypothesized that exogenous expression of either p53 or its direct transcriptional target miR-34a in this cell line would induce apoptosis in these MPNST cells. To test this, we transfected MPNST-14 cells with miR-34a expression construct, and subjected the transfected cells to live/dead assay (Figure 6a, ii). We noticed approximately 36.23 % of cell mortality in MPNST-14 cells, which was similar to its transfection efficiency with the miR-34a construct (about 40%, Supplementary figure 3). Further, the presence of transfected miRs were verified in these cells using qRT-PCR (Supplementary figure 3b). In contrast, transfection of MPNST-14 cells with scrambled sequence vectors showed only 5.19 % dead cells. In addition, transfection with miR-34b and miR-34c had little or no effect on cell survival with 5.16% and 4.46% cell death respectively.
Figure 6.
a) Live dead assay of transfected MPNST cells. Cells were transfected with scramble sequence control (i) with miR-34a (ii) empty vector control (iii) and with wt-p53 (iv) and subjected to cell viability assay, 48 hrs after transfection.
b) FACS analysis of miR-34 or p53 transfected cells. Panels correspond to the transfection experiments shown in figure 6a.
c) Pro-apoptotic effect of miR-34a and p53 is independent of NF1-mutations status. MPNST-724 cells (non-NF1 mutant) transfected with constructs containing miR-34a and p53 were subjected to live/dead assay. Viability assays were carried out in duplicates and values indicate the mean of the total numbers of live and dead cells counted in three fields per sample. The number of dead cells was equal to the transfection efficiency and was comparable to the cell death ratio of MPNST-14 cells (NF1 mutant).
d) Apoptotic activity of miR-34a in MPNSTs is mediated by possibly targeting MYCN, E2F3 and CDK4. MPNST-14 and MPNST-724 cells were transfected with miR-34a construct and mRNA isolated from these cells were subjected to qRT-PCR analysis. miR-34a transfection reduces these transcripts by 38–40%. Data is normalized to GAPDH expression levels and values are mean ±SD.
We performed FACS analysis using transfected cells and could show that the dead cells contained fragmented DNA, a characteristic feature of apoptosis (Figure 6b). We examined the effect of exogenous expression of wild type p53 in MPNST-14 cells. Transfection of wild type p53 resulted in 40% dead cells (Figure 6a, iv), similar to that of miR-34a transfection. Transfection with empty vector controls yielded far fewer dead cells (2.73 %).
The transfection efficiency of MPNST cells is only about 40%. In order to determine the actual percentage of dead cells amongst successfully transfected cells, miR-34a and p53 transfected cells were enriched by FACS based on GFP fluorescence. The transfection-enriched cell populations were next subjected to FACS analysis using PI staining. The miR-34a transfection-enriched population and p53 transfection-enriched population had over 90% dead cells (Supplementary figure 4).
Transfection experiments were also carried out with the second MPNST cell line, MPNST-724, a cell line derived from non-NF1 individual (Supplementary table 7). With miR-34a transfection, the apoptotic response in MPNST-724 cells was 38.79 %, similar to that seen in MPNST-14 (NF1 mutant) cells (36.23 %). We also found a similar percentage of apoptosis (40.43 %) with p53 transfection of MPNST-724 cells. Transfection with the scrambled sequences and empty vector controls had 5.11% and 2.19% dead cells respectively (Figure 6c).
In order to understand the possible mechanism by which miR-34a induces apoptosis in these MPNST cells, we determined the levels of MYCN, E2F and CDK4 in miR-34a transfected MPNST cells by qRT-PCR. These mRNA targets are known to be influenced by miR-34a [30, 31.]. We found that expressions of these mRNAs were decreased (by 38–40%) upon miR-34a transfection (Figure 6d).
Discussion
Our gene microarray analysis identified expression signatures for the 4 classes of tumors (MPNST, neurofibroma, schwannoma and synovial sarcoma) included in the study. Unsupervised hybrid clustering separated the majority of the benign tumors from the malignant tumors. There were a few outliers in each class of tumor, which may reflect alterations of gene expression seen in different stages of tumor progression. For example, 6 of 26 neurofibroma cases clustered in the branch containing most of the MPNSTs. Though these neurofibroma cases show the morphological features diagnostic of a typical neurofibroma, the possibility cannot be excluded that early pre-malignant disturbances at the molecular level have occurred in these cases and resulted in a gene expression profile more similar to MPNSTs than with typical neurofibromas. For 5 of these 6 neurofibromas, the NF1 status was known and 4 were resected from NF1 patients. In contrast, of the 20 neurofibromas clustering on branch A, the NF1 status of 16 cases were known, 8 of which were resected from NF1 patients. In our study, we were unable to distinguish NF1-associated and sporadic MPNSTs based on gene expression profiles. This finding is in agreement with previous studies [13, 15.].
Compared to neurofibromas, majority of the MPNSTs showed a decreased level of expression for a large number of genes. A possible explanation for this finding is that the majority of the “Group 1” genes that are down-regulated in MPNST are associated with nucleic acid-binding functions (Table 2). This may explain the down-regulation of many genes downstream from these transcription factors. Alternatively, epigenetic changes, such as DNA methylation can also affect gene expression levels. For example, DNMT3A (an effector of DNA methylation) and genes known to be affected by DNA methylation (such as CDH1, LATS2, IGF2 and MEST) [32.] are differentially expressed in peripheral nerve sheath tumors, suggesting a possible role for DNA hypermethylation. In addition, a recent study showed that PTEN is hypermethylated in 29% of MPNSTs [33.] and site-specific methylation involving transcription factor binding sites for AP2 and SP1 in the NF1 gene have been found in plexiform neurofibromas [34.].
A search for genes that are uniquely overexpressed in all MPNSTs included in the study yielded only eight genes. This is consistent with the heterogeneous nature of MPNSTs, and this heterogeneity is also reflected in their variable histological appearance and their clustering pattern in our unsupervised cluster analysis. However, when analyzing the “core MPNSTs”, those present in branch B of Figure 1, high expression of genes that are involved in cell proliferation and that are implicated in the pathogenesis of other cancer types were found. Genes such as TOP2A and TWIST1 that were previously implicated in the progression of MPNSTs [7, 16.] were also found to be over expressed in our gene array analysis. Likewise, CRABP1 was one of the top 5 genes highly expressed in MPNSTs in our study. In a previous study, Henderson et al [35.] noted that high expression of CRABP1 distinguished MPNSTs and SS from other mesenchymal tumors. Loss of expression of genes such as E-cadherin and over-expression of the zinc-finger transcriptional repressor gene ‘snail’ (SNAI2) is associated with tumor invasion [36, 37.]. This interactive mechanism of downregulation of E-cadherin and upregulation of SNAI2 was observed in most MPNSTs in our mRNA expression study.
Similar to earlier reports [13, 38.], our TMA analysis revealed an elevated expression of EGFR in a subset of MPNSTs and neurofibromas. EGFR expression was not associated with the mutational status of NF1. Gene and tissue microarray analyses showed no EGFR expression in any of the Schwannomas included in this study. Earlier studies have shown that EGFR is expressed in a subset of NF1-mutant Schwann cells and not in normal Schwann cells [39.]. Further, a majority of the synovial sarcomas stained for EGFR, which was in agreement with previous findings from our laboratory [21.].
Histological distinction between SS and MPNST often poses a diagnostic challenge. SAM analysis revealed SSX, ZIC2, RIPK4, CA14 and TLE1 to be the top ranking genes that are expressed at higher levels in SS as compared to MPNSTs (Supplementary table 8). We have previously shown that an antibody against TLE1 is a useful diagnostic tool for SS [40.]. One of the SS cases, STT3994, clustered with the MPNSTs (Figure 1). RT-PCR for the diagnostic t(X;18) showed an unusually small fusion product of 297bp (the usual fusion product seen in other cases of SS is 585bp). Sequencing identified a novel, previously unreported fusion of exon 8 SYT gene to exon 7 SSX1 (Supplementary figure 5). Interestingly, this SS case had relatively lower levels of TLE1 expression compared to other SS samples (Figure 1).
Two noticeable miRNA-mRNA associations became apparent in our study, (i) microRNA expression analysis indentified miR-214 as the top overexpressed miRNA in MPNSTs. TWIST1, a master regulator of metastasis, has been shown in mouse neural cells to induce miR-214 expression [41.]. It is notable that TWIST1 is highly expressed in majority of MPNSTs and thus may be involved in miR-214 expression in MPNSTs as well.
(ii) Several miRNAs were downregulated in MPNST compared to the benign nerve sheath tumors, including miR-34a. Initial studies on primary and tumor derived cell lines shown that p53 induces the expression of miR-34a [19, 29, 42.]. Subsequent studies have demonstrated miR-34a expression induces apoptosis in colon cancer and neuroblastomas [30, 43.], however, no sarcomas samples were included in these studies. To better understand the mechanism of the association between p53 and miR-34a expression in MPNST, we used two MPNST cell lines: MPNST-14 and MPNST-724. Despite the presence of intact genomic loci for miR-34 family miRNAs (data not shown), both MPNST cell lines had lower levels of endogenous miR-34 levels compared to HEK-293 cells. Relative downregulation of miR-34a in these cell lines is consistent with the lower level of miRNA seen in MPNST tumor samples and with our observation the majority of MPNSTs show a gene expression signature that is associated with p53 inactivation. Transfection of p53 in MPNST cells induced expression of miR-34a and other p53 dependent miRNAs. In addition, exogenous expression of either p53 or miR-34a in the MPNST cell lines induced apoptosis mediated cell death in over 90% of the transfected MPNST cells.
In majority of MPNSTs, p53 is inactivated either by mutation or through other unknown mechanisms. In our study, miR-29a was significantly downregulated in MPNSTs, miR-29 family miRs can activate p53 by blocking CDC42 and p85α, the negative regulators of p53[44.]. Further, in our functional assay only miR-34a showed apoptotic mediated cell death in the MPNST cells whereas mR-34b and miR-34c did not produce any significant effect in the transfected MPNST cell line. miR-34a and miR-34c have an identical seed sequence, an important determinator for mRNA target specificity [45.]. However, a search in miRgen for consensus target prediction showed only a partial overlap in the targets for these 2 miRNAs (data not shown) indicating that other factors play a role in the determination of targets.
In the MPNST cell lines, MYCN, E2F3 and CDK4 transcript levels were downregulated upon miR-34a transfection. MYCN oncogene mRNA is a known target of miR-34a, and MYC protein levels are reduced up to 80–95% upon miR-34a expression [31.]. E2F family members are proapoptotic and miR-34a is known to mediate apoptosis by significantly reducing the levels of E2F3 in neuroblastoma cells [30.]. Earlier studies have shown that expression of miR-34a has a drastic effect on tumor cell proliferation and survival through cell cycle arrest and apoptosis [43, 46.].
In conclusion, molecular profiling of nerve sheath tumors reveal MPNSTs to be a heterogeneous group of tumors. The major trend in malignant transformation towards MPNST is the downregulation of large number of genes. MPNSTs are characterized by hallmark molecular events such as upregulation of cell cycle genes, loss of cell adhesion, gene signature for inactivation of p53, and elevated expression of genes that regulates tumor metastasis. Based on our observations, we conclude that loss of miR-34a expression in MPNSTs may be partly due to p53 inactivation which may play a major role in the transformation process of MPNSTs. As a consequence, miR-34a could be further investigated as a miRNA-based therapeutic treatment of MPNST.
Supplementary Material
Acknowledgements
Supported by a Department of Defense grant DAMD17-03-1-0297 and funding from the Academic Health Center and Department of Laboratory Medicine and Pathology, University of Minnesota. We thank Dr. Reena Kartha for helpful comments.
Footnotes
The authors declares no conflict of interests
The complete raw data for mRNA and miRNA expression profiles will be made available through Stanford Microarray Database (http://smd.stanford.edu/). Supplementary tables can be better viewed as Excel file.
References
- 1.Weiss SW, Goldbum JR. Soft tissue tumors. Mosby: St Louis; 2001. [Google Scholar]
- 2.Kleihues P, Cavanee W. World Health Organization Classification of Tumours: Pathology and Genetics: Tumours of the Nervous System. 2006 [Google Scholar]
- 3.King AA, Debaun MR, Riccardi VM, Gutmann DH. Malignant peripheral nerve sheath tumors in neurofibromatosis 1. Am J Med Genet. 2000;93:388–392. [PubMed] [Google Scholar]
- 4.Evans DG, Baser ME, McGaughran J, Sharif S, Howard E, Moran A. Malignant peripheral nerve sheath tumours in neurofibromatosis 1. J Med Genet. 2002;39:311–314. doi: 10.1136/jmg.39.5.311. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Cichowski K, Jacks T. NF1 tumor suppressor gene function: narrowing the GAP. Cell. 2001;104:593–604. doi: 10.1016/s0092-8674(01)00245-8. [DOI] [PubMed] [Google Scholar]
- 6.DeClue JE, Papageorge AG, Fletcher JA, Diehl SR, Ratner N, Vass WC, et al. Abnormal regulation of mammalian p21ras contributes to malignant tumor growth in von Recklinghausen (type 1) neurofibromatosis. Cell. 1992;69:265–273. doi: 10.1016/0092-8674(92)90407-4. [DOI] [PubMed] [Google Scholar]
- 7.Skotheim RI, Kallioniemi A, Bjerkhagen B, Mertens F, Brekke HR, Monni O, et al. Topoisomerase-II alpha is upregulated in malignant peripheral nerve sheath tumors and associated with clinical outcome. J Clin Oncol. 2003;21:4586–4591. doi: 10.1200/JCO.2003.07.067. [DOI] [PubMed] [Google Scholar]
- 8.Ling BC, Wu J, Miller SJ, Monk KR, Shamekh R, Rizvi TA, et al. Role for the epidermal growth factor receptor in neurofibromatosis-related peripheral nerve tumorigenesis. Cancer Cell. 2005;7:65–75. doi: 10.1016/j.ccr.2004.10.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Nielsen GP, Stemmer-Rachamimov AO, Ino Y, Moller MB, Rosenberg AE, Louis DN. Malignant transformation of neurofibromas in neurofibromatosis 1 is associated with CDKN2A/p16 inactivation. Am J Pathol. 1999;155:1879–1884. doi: 10.1016/S0002-9440(10)65507-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Menon AG, Anderson KM, Riccardi VM, Chung RY, Whaley JM, Yandell DW, et al. Chromosome 17p deletions and p53 gene mutations associated with the formation of malignant neurofibrosarcomas in von Recklinghausen neurofibromatosis. Proc Natl Acad Sci U S A. 1990;87:5435–5439. doi: 10.1073/pnas.87.14.5435. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Legius E, Dierick H, Wu R, Hall BK, Marynen P, Cassiman JJ, et al. TP53 mutations are frequent in malignant NF1 tumors. Genes Chromosomes Cancer. 1994;10:250–255. doi: 10.1002/gcc.2870100405. [DOI] [PubMed] [Google Scholar]
- 12.Yang FC, Ingram DA, Chen S, Zhu Y, Yuan J, Li X, et al. Nf1-dependent tumors require a microenvironment containing Nf1+/−- and c-kit-dependent bone marrow. Cell. 2008;135:437–448. doi: 10.1016/j.cell.2008.08.041. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Watson MA, Perry A, Tihan T, Prayson RA, Guha A, Bridge J, et al. Gene expression profiling reveals unique molecular subtypes of Neurofibromatosis Type I-associated and sporadic malignant peripheral nerve sheath tumors. Brain Pathol. 2004;14:297–303. doi: 10.1111/j.1750-3639.2004.tb00067.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Levy P, Vidaud D, Leroy K, Laurendeau I, Wechsler J, Bolasco G, et al. Molecular profiling of malignant peripheral nerve sheath tumors associated with neurofibromatosis type 1, based on large-scale real-time RT-PCR . Mol Cancer. 2004;3:20. doi: 10.1186/1476-4598-3-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Holtkamp N, Reuss DE, Atallah I, Kuban RJ, Hartmann C, Mautner VF, et al. Subclassification of nerve sheath tumors by gene expression profiling. Brain Pathol. 2004;14:258–264. doi: 10.1111/j.1750-3639.2004.tb00062.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Miller SJ, Rangwala F, Williams J, Ackerman P, Kong S, Jegga AG, et al. Large-scale molecular comparison of human schwann cells to malignant peripheral nerve sheath tumor cell lines and tissues. Cancer Res. 2006;66:2584–2591. doi: 10.1158/0008-5472.CAN-05-3330. [DOI] [PubMed] [Google Scholar]
- 17.Bartel DP. MicroRNAs: genomics, biogenesis, mechanism, and function. Cell. 2004;116:281–297. doi: 10.1016/s0092-8674(04)00045-5. [DOI] [PubMed] [Google Scholar]
- 18.Kloosterman WP, Plasterk RH. The diverse functions of microRNAs in animal development and disease. Dev Cell. 2006;11:441–450. doi: 10.1016/j.devcel.2006.09.009. [DOI] [PubMed] [Google Scholar]
- 19.He L, He X, Lim LP, de Stanchina E, Xuan Z, Liang Y, et al. A microRNA component of the p53 tumour suppressor network. Nature. 2007;447:1130–1134. doi: 10.1038/nature05939. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.He X, He L, Hannon GJ. The guardian's little helper: microRNAs in the p53 tumor suppressor network. Cancer Res. 2007;67:11099–11101. doi: 10.1158/0008-5472.CAN-07-2672. [DOI] [PubMed] [Google Scholar]
- 21.Nielsen TO, West RB, Linn SC, Alter O, Knowling MA, O'Connell JX, et al. Molecular characterisation of soft tissue tumours: a gene expression study. Lancet. 2002;359:1301–1307. doi: 10.1016/S0140-6736(02)08270-3. [DOI] [PubMed] [Google Scholar]
- 22.Futreal PA, Coin L, Marshall M, Down T, Hubbard T, Wooster R, et al. A census of human cancer genes. Nat Rev Cancer. 2004;4:177–183. doi: 10.1038/nrc1299. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Whitfield ML, George LK, Grant GD, Perou CM. Common markers of proliferation. Nat Rev Cancer. 2006;6:99–106. doi: 10.1038/nrc1802. [DOI] [PubMed] [Google Scholar]
- 24.Yang J, Mani SA, Donaher JL, Ramaswamy S, Itzykson RA, Come C, et al. Twist, a master regulator of morphogenesis, plays an essential role in tumor metastasis. Cell. 2004;117:927–939. doi: 10.1016/j.cell.2004.06.006. [DOI] [PubMed] [Google Scholar]
- 25.Okamoto Y, Ozaki T, Miyazaki K, Aoyama M, Miyazaki M, Nakagawara A. UbcH10 is the cancer-related E2 ubiquitin-conjugating enzyme. Cancer Res. 2003;63:4167–4173. [PubMed] [Google Scholar]
- 26.Watnick RS, Cheng YN, Rangarajan A, Ince TA, Weinberg RA. Ras modulates Myc activity to repress thrombospondin-1 expression and increase tumor angiogenesis. Cancer Cell. 2003;3:219–231. doi: 10.1016/s1535-6108(03)00030-8. [DOI] [PubMed] [Google Scholar]
- 27.Subramanian A, Tamayo P, Mootha VK, Mukherjee S, Ebert BL, Gillette MA, et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci U S A. 2005;102:15545–15550. doi: 10.1073/pnas.0506580102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Milyavsky M, Tabach Y, Shats I, Erez N, Cohen Y, Tang X, et al. Transcriptional programs following genetic alterations in p53, INK4A, and H-Ras genes along defined stages of malignant transformation. Cancer Res. 2005;65:4530–4543. doi: 10.1158/0008-5472.CAN-04-3880. [DOI] [PubMed] [Google Scholar]
- 29.Raver-Shapira N, Marciano E, Meiri E, Spector Y, Rosenfeld N, Moskovits N, et al. Transcriptional activation of miR-34a contributes to p53-mediated apoptosis. Mol Cell. 2007;26:731–743. doi: 10.1016/j.molcel.2007.05.017. [DOI] [PubMed] [Google Scholar]
- 30.Welch C, Chen Y, Stallings RL. MicroRNA-34a functions as a potential tumor suppressor by inducing apoptosis in neuroblastoma cells. Oncogene. 2007;26:5017–5022. doi: 10.1038/sj.onc.1210293. [DOI] [PubMed] [Google Scholar]
- 31.Wei JS, Song YK, Durinck S, Chen QR, Cheuk AT, Tsang P, et al. The MYCN oncogene is a direct target of miR-34a. Oncogene. 2008;27:5204–5213. doi: 10.1038/onc.2008.154. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Esteller M, Corn PG, Baylin SB, Herman JG. A gene hypermethylation profile of human cancer. Cancer Res. 2001;61:3225–3229. [PubMed] [Google Scholar]
- 33.Kawaguchi K, Oda Y, Saito T, Yamamoto H, Takahira T, Kobayashi C, et al. DNA hypermethylation status of multiple genes in soft tissue sarcomas. Mod Pathol. 2006;19:106–114. doi: 10.1038/modpathol.3800502. [DOI] [PubMed] [Google Scholar]
- 34.Harder A, Rosche M, Reuss DE, Holtkamp N, Uhlmann K, Friedrich R, et al. Methylation analysis of the neurofibromatosis type 1 (NF1) promoter in peripheral nerve sheath tumours. Eur J Cancer. 2004;40:2820–2828. doi: 10.1016/j.ejca.2004.07.021. [DOI] [PubMed] [Google Scholar]
- 35.Henderson SR, Guiliano D, Presneau N, McLean S, Frow R, Vujovic S, et al. A molecular map of mesenchymal tumors. Genome Biol. 2005;6:R76. doi: 10.1186/gb-2005-6-9-r76. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Batlle E, Sancho E, Franci C, Dominguez D, Monfar M, Baulida J, et al. The transcription factor snail is a repressor of E-cadherin gene expression in epithelial tumour cells. Nat Cell Biol. 2000;2:84–89. doi: 10.1038/35000034. [DOI] [PubMed] [Google Scholar]
- 37.Cano A, Perez-Moreno MA, Rodrigo I, Locascio A, Blanco MJ, del Barrio MG, et al. The transcription factor snail controls epithelial-mesenchymal transitions by repressing E-cadherin expression. Nat Cell Biol. 2000;2:76–83. doi: 10.1038/35000025. [DOI] [PubMed] [Google Scholar]
- 38.Perrone F, Da Riva L, Orsenigo M, Losa M, Jocolle G, Millefanti C, et al. PDGFRA, PDGFRB, EGFR, and downstream signalling activation in malignant peripheral nerve sheath tumor. Neuro Oncol. 2009 doi: 10.1215/15228517-2009-003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.DeClue JE, Heffelfinger S, Benvenuto G, Ling B, Li S, Rui W, et al. Epidermal growth factor receptor expression in neurofibromatosis type 1-related tumors and NF1 animal models. J Clin Invest. 2000;105:1233–1241. doi: 10.1172/JCI7610. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Terry J, Saito T, Subramanian S, Ruttan C, Antonescu CR, Goldblum JR, et al. TLE1 as a diagnostic immunohistochemical marker for synovial sarcoma emerging from gene expression profiling studies. Am J Surg Pathol. 2007;31:240–246. doi: 10.1097/01.pas.0000213330.71745.39. [DOI] [PubMed] [Google Scholar]
- 41.Lee YB, Bantounas I, Lee DY, Phylactou L, Caldwell MA, Uney JB. Twist-1 regulates the miR-199a/214 cluster during development. Nucleic Acids Res. 2008 doi: 10.1093/nar/gkn920. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Chang TC, Wentzel EA, Kent OA, Ramachandran K, Mullendore M, Lee KH, et al. Transactivation of miR-34a by p53 broadly influences gene expression and promotes apoptosis. Mol Cell. 2007;26:745–752. doi: 10.1016/j.molcel.2007.05.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Tazawa H, Tsuchiya N, Izumiya M, Nakagama H. Tumor-suppressive miR-34a induces senescence-like growth arrest through modulation of the E2F pathway in human colon cancer cells. Proc Natl Acad Sci U S A. 2007;104:15472–15477. doi: 10.1073/pnas.0707351104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Park SY, Lee JH, Ha M, Nam JW, Kim VN. miR-29 miRNAs activate p53 by targeting p85 alpha and CDC42. Nat Struct Mol Biol. 2009;16:23–29. doi: 10.1038/nsmb.1533. [DOI] [PubMed] [Google Scholar]
- 45.Bartel DP. MicroRNAs: target recognition and regulatory functions. Cell. 2009;136:215–233. doi: 10.1016/j.cell.2009.01.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Tarasov V, Jung P, Verdoodt B, Lodygin D, Epanchintsev A, Menssen A, et al. Differential regulation of microRNAs by p53 revealed by massively parallel sequencing: miR-34a is a p53 target that induces apoptosis and G1-arrest. Cell Cycle. 2007;6:1586–1593. doi: 10.4161/cc.6.13.4436. [DOI] [PubMed] [Google Scholar]
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