Background
Glioblastoma (GBM) is the most common and lethal malignant brain tumor in adults [
1]. Despite recent advances in therapeutic strategies, including surgical resection followed by radiotherapy and temozolomide chemotherapy, the average survival of patients with GBM is approximately 14 months after the initial diagnosis [
2,
3]. This dismal prognosis may be partly attributed to the highly invasive nature of GBM, which favors its infiltration into the surrounding normal brain parenchymal, making total surgical resection impossible [
4,
5]. Thus, there is an urgent need to identify therapies that decrease GBM invasion and increase patient survival.
The inability to define different patient outcomes based on the traditional histopathological classification suggests a large problem in our understanding of the classification of GBM [
6]. To better understand determinants of GBM malignant progression, genomic- and genetic-based molecular stratification of GBM were performed [
7]. Although inconsistence were observed among different classification studies, the proneural and mesenchymal subtypes were highly consistent in literatures [
8‐
11]. The proneural subtype is characterized by the high expression of genes involved in neurogenesis, and is associated with a favorable outcome [
10]. By contrast, the mesenchymal subtype shows high expression of genes correlated with invasion, motility and stemness, and is associated with poor clinical outcomes [
12,
13]. Importantly, proneural-to-mesenchymal transition (PMT) was frequently observed upon GBM relapse [
14,
15]. Subsequent studies demonstrated that this process is mediated by several key transcriptional factors, such as nuclear factor κB (NF-κB) [
16], Snail Family Transcriptional Repressor 1 (SNAI1) [
17] and Signal Transducer and Activator of Transcription 3 (STAT3) [
15]. However, detailed molecular mechanisms that promote PMT remain ambiguous. Given the malignant behaviors of mesenchymal GBM, uncovering the underlying molecular mechanisms that responsible for maintaining mesenchymal phenotype is urgently needed for targeted therapies.
Pre-B-cell leukemia homebox 3 (PBX3) was first identified in 1991 by Monic et al. [
18], which belongs to the three-amino acid-loop-extension family of homeodomain transcription factors. Subsequent studies showed that PBX3 is overexpressed in various human cancers, including prostate cancer [
19], colorectal cancer [
20], gastric cancer [
21], hepatocellular carcinoma [
22], and multiple myeloma [
23]. Functional studies revealed that upregulated PBX3 promotes cancer cell malignant behaviors, such as proliferation, migration, invasion, cell cycle progression, drug resistance and cancer stemness [
21‐
24]. Moreover, survival analysis demonstrated that PBX3 expression is predictive of poor prognosis in some malignancies [
20,
22,
25]. Our group recently reported that PBX3 is overexpressed in GBM and promotes GBM migration, invasion, proliferation and cell cycle progression [
26,
27]. As PMT is associated with malignant phenotypes of GBM, we hypothesized that upregulated PBX3 might be involved in promoting PMT in GBM.
Aberrant expression of LIN28/let-7 axis has been well documented in various malignancies, including GBM [
28]. Experimentally, LIN28/let-7 axis has been shown to induce cancer cell invasive phenotypes and mensenchymal transition by regulating various let-7 targets, such as high mobility group A2 (HMGA2) [
29,
30]. Importantly, LIN28/let-7 axis represents a critical downstream target of MEK/ERK1/2 pathway and mediates ERK1/2-driven mesenchymal transition [
30]. As PBX3 activates MEK/ERK1/2 pathway to promote malignant phenotypes in some cancers [
25], we hypothesized that PBX3 may promote GBM mesenchymal phenotype through MEK/ERK1/2 pathway mediated LIN28/let-7 axis activation.
Here, we characterized the role of PBX3 in regulating PMT process. Our results demonstrated that upregulation/downregulation of PBX3 increases/decreases mesenchymal phenotype of GBM. Mechanically, we showed that PBX3 enhances mesenchymal phenotype of GBM through a positive feedback loop involving activation of MEK, ERK1/2, c-myc, and LIN28, leading to inhibition of the let-7b expression and upregulation of its targets. Finally, we found that PBX3 is required for TGF-β-induced GBM mesenchymal transition.
Methods
Database mining and human tissue samples
Glioma gene expression data were downloaded from three datasets: Repository for Molecular Brain Neoplasia Data (Rembrandt;
http://caintegratorinfo.nci.nih.gov/rembrandt); and the National Center for Biotechnology Information Gene Expression Omnibus (NCBI-GEO) datasets GSE4290 and GSE59612 (
http://www.ncbi.nlm.gov.geo/; accession nos. GSE4290 and GSE59612). Forty-five GBM samples were collected from the Department of Neurosurgery, The First Affiliated Hospital of Nanjing Medical University between 2011 and 2014. Informed consent for the use of samples was obtained from all patients. Our study was approved by the institutional review board and ethics committee of Nanjing Medical University.
Gene set enrichment analysis (GSEA)
The GSEA was performed using software downloaded from the Broad Institute (
http://www.broadinstitute.org/gsea/index.jsp) with H (hallmark gene sets) collection. We divided the GBM cohort in Rembrandt into two groups with high PBX3 expression or low PBX3 expression. The Gene Cluster Text file (.gct) was generated from the Rembrandt dataset. The Categorical Class file (.cls) was prepared based on the PBX3 mRNA levels of GBM patients in the Rembrandt dataset. Using a permutation test at 1000 times, we finally identified gene signatures that were enriched in the PBX3 high expression group.
Cell culture, transfection and drug treatment
U87 and U251 cells were purchased from the American Type Culture Collection (ATCC, Manassas, VA). Cells were cultured in Dulbecco’s modified Eagle’s medium (DMEM; Hyclone, USA) supplemented with 10% fetal bovine serum (Gibco, Invitrogen, Carlsbad, CA, USA) at 37 °C in a humidified atmosphere with 5% CO2.
Lentiviruses carrying PBX3 or vectors or siRNA-PBX3 or siRNA-NC were purchased from Genepharma (Shanghai, China). Stable U87 and U251 cells were established by lentiviral infection and puromycin selection as manufacturer’s protocol. Although, our previous study showed that PBX3 protein levels in H4 and U118 cell lines were significantly lower than that in U87 and U251 cells [
27], we did not select H4 and U118 cells for overexpression studies. The main reason is the low ovexpression efficiency of PBX3 in both H4 and U118 cells. Let-7b mimic and inhibitor were purchased from RiboBio (Guangzhou, China) and transfected into cells using Lipofectamine RNAiMAX Reagent (Life Technologies, Grand Island, NY) according to manufacturer’s protocol. siRNAs or plasmids were synthesized by Genepharma and transfected into cells using Lipofectamine 2000 Transfection Reagent (Invitrogen).
Recombinant human transforming growth factor-β (TGFβ), U0126 and phorbol 12-myristate 13-acetate (PMA) were purchased from Sigma, and diluted according to each manufacturer’s protocol. The dose of each drug was used as previously described [
17,
31].
RNA extraction and quantitative real-time polymerase chain reaction (qRT-PCR)
Total RNA extraction and qRT-PCR for mRNA were performed as previously described [
26]. Primers used in this study were listed as follows: PBX3 forward 5′-CAAGTCGGAGCCAATGTG-3′ and reverse 5′-ATGTAGCTCAGGGAAAAGTG-3′; N-cadherin forward 5′-GAAGGAGGTGGGGAGGAAGATA-3′ and reverse 5′-GGTGGTCTCTGACGAGGTAAACA-3′; ZEB1 forward 5′-AGTTTACCTTCCAGCAGCCCTAC-3′; and reverse 5′-AGCTCTTCTGCACTTGGTTGTG-3′; Slug forward 5′-AGACCCCCATGCCATTGAAG-3′ and reverse 5′-GGCCAGCCCAGAAAAAGTTG-3′; CD44 forward 5′-CACAACAACACAAATGGCTG-3′ and reverse 5′-CAATGCCTGATCCAGAAAAA-3′; IL-6 forward 5′-TCCAGAACAGATTTGAGAGTAGTG-3′ and reverse 5′-GCATTTGTGGTTGGGTCAGG-3′; HMGA2 forward 5′-CACTTCAGCCCAGGGACAAC-3′ and reverse 5′-GCCTCTTGGGCGTTTTTCTC-3′; β-actin forward 5′-GTGATCTCCTTCTGCATCCTGT-3′ and reverse 5′-CCACGAAACTACCTTCAACTCC-3′; qRT-PCR for let-7b was performed using commercially available TaqMan® MicroRNA Assays (#4373168, Applied Biosystems, Darmstadt, Germany) according to manufacturer’s protocol. The specificity of PCR was confirmed by melting curves and PCR product sequencing.
Western blot analysis
Protein extraction, quantification and immunoblotting were performed as our previously described [
27]. The antibodies used in this study were: PBX3 (1:500, ab109173), N-cadherin (1:750, ab18203), ZEB1 (1:500, ab180905), Slug (1:750, ab180714), CD44 (1:750, ab51037), c-myc (1:500, ab32072), LIN28 (1:500, ab46020) and β-actin (1:2000, ab8226) all from Abcam (Cambridge, UK). HMGA2 (1:1000, no. 8179), STAT3 (1:1000, no. 9139), phospho-STAT3 (1:500, no. 9145), MEK1/2 (1:1500, no. 4694), phospho-MEK1/2 (1:1000, no. 4370), ERK1/2 (1:2000, no. 9194,) and phospho-ERK1/2 (1:1000, no. 4370) all from Cell Signaling Technologies (Danvers, MA, USA).
In vitro cell migration and invasion assays
The invasive capabilities of glioma cells were determined as our previously reported [
26].
Immunohistochemsitry
Tissues were fixed in 4% paraformaldehyde for two 48 h and paraffin embedded in a regular way. Tissue sections (4 μm) were treated and stained with the following antibodies: PBX3 (1:75, ab109173), N-cadherin (1:100, ab18203), ZEB1 (1:150, ab180905), Slug (1:150, ab180714), CD44 (1:100, ab51037).
Quantitative chromatin immunoprecipitation analysis
Chromatin-immunoprecipitation (ChIP) assays were carried out using a ChIP Assay Kit (#17408, Millipore) according to the manufacturer’s protocol. The chromatin fragments were immunoprecipitated with 2 μg of antibodies against either c-myc (ab32) or Jun (ab31419). The primer sequences used in this study were as follows: LIN28 (c-myc) forward 5′-GGGAGGGCCCATTCATTTC-3′ and reverse 5′-GGGTCCCCAAAGCAGATACA-3′; Wnt5a (c-myc) forward 5′-GTCGGGAAGTGGTCAAGGTT-3′ and reverse 5′-AAGTGCCAGAGACAGATGCT-3′; CyclinD1 (Jun) forward 5′-GTCCCAGGCAGAGGGGAC-3′ and reverse 5′-CGGCAATTTAACCGGGAGA-3′; β-globin (negative control) forward 5′-AGTGCCAGAGCCAAGGA-3′ and reverse 5′-CAGGGTGAGGTCTAAGTGATGACA-3′; and rRNA (internal control) forward 5′-ATTAGTCAGCGGAGGAAAAGAAAC-3′ and reverse 5′-TCGCCGTTACTGAGGGAATC-3′.
Luciferase reporter assay
To determine whether let-7b directly binds to the PBX3 3′-UTR, dual luciferase reporter assays were conducted. Wild-type (WT) and mutated putative let-7b-binding sites were amplified and cloned into the XbaI site of a pGL3 control vector (Invitrogen). The following reporter assays were performed in a regular way as our previously described [
26].
Determination of interleukin-6 concentrations in supernatant of cultured cells
The collected supernatant was serially diluted, and levels of IL-6 of different groups were measured by enzyme-linked immunosorbent assay (ELISA; R&D Systems Inc., Minneapolis, MN).
Orthotopic GBM model
Female Bagg albino (BALB)/c nude mice at 5 weeks were purchased from the Shanghai Experimental Animal Center of the Chinese Academy of Sciences and maintained in specific pathogen-free conditions for 1 week. To established intracranial GBMs, LV-siRNA-NC- or LV-siRNA-PBX3-transfected U87 cells (2.5 × 105) were stereotactically injected (12 mice for each group). Three weeks later, all mice were killed by rapid decapitation and brains were extracted and stored in liquid nitrogen. All experimental procedures were in accordance with the Guide for the Care and Use of Laboratory Animals of the National Institutes of Health and approved by the Nanjing Medical University Animal Experimental Ethics Committee.
Statistical analysis
Statistical analyses were performed using GraphPad Prism 5.0 (GraphPad Software, Inc., LaJolla, CA, USA). Data were presented as mean ± SD. The significance of differences between groups was tested by two-tailed Student’s t-test. Correlations between PBX3 and N-cadherin, ZEB1, Slug, CD44, let-7b, HMGA2, and IL-6 expressions were analyzed with Pearson’s correlation method. Values of p < 0.05 were considered statistically significant.
Discussion
Despite aggressive treatment, the prognosis of patients with GBM remains dismal, which is partly caused by the highly invasive nature of GBM [
4]. Recently, mesenchymal transition of GBM has been recognized as a key driver of GBM invasion and malignant progression, but signals promote this process are still unclear [
7]. Here, we presents evidence for a role of PBX3 in the regulation of the mesenchymal transition program that maintains invasive phenotypes of human GBM. Our demonstrations that PBX3 is upregulated in mesenchymal gliomas compared with proneural gliomas and that it positively correlated with several mesenchymal markers highlight the significance of PBX3 in mesenchymal transition. Notably, we showed that PBX3 actives MEK/ERK1/2 axis, which negatively regulates let-7b by inducing LIN28 expression through oncogenic c-myc transcription. In turn, let-7b inhibits PBX3 expression by directly targeting the 3′-UTR of PBX3. Thus, these data implicate PBX3, MEK/ERK1/2, c-myc and LIN28/let-7b in a positive feedback loop. In addition, PBX3 has been demonstrated to be required for TGF-β-induced mesenchymal transition, suggesting that this positive feedback loop may be a part of TGF-β signaling. Based on these findings, we proposed that PBX3 could be a promising therapeutic target for preventing GBM mesenchymal transition and invasion.
The members of the PBX family have vital roles in both development and differentiation through regulating gene transcription [
40,
41]. Dysregulation of PBX family members has been implicated in various types of human cancers, including GBM [
22,
26,
27]. Although our previous studies suggested a role for PBX3 in the biology of GBM proliferation, cell cycle progression, migration and invasion [
26,
27], there is a paucity of data defining the functional role that PBX3 plays in GBM mesenchymal transition. Herein, we first showed that PBX3 is upregulated in mesenchymal gliomas and positively correlated with mesenchymal markers, such as N-cadherin, ZEB1, Slug and CD44. These results suggest that an aberrant increase in PBX3 expression is linked to GBM mesenchymal transition. Furthermore, functional studies showed that PBX3 expression directly impacts GBM invasive phenotypes and mesenchymal transition, as measured by in vitro and in vivo experiments. Our findings is consistent with previous reports that PBX3 functions as an oncogene and EMT enhancer in other cancers [
21,
42,
43].
Although the mesenchymal transition promoting role of PBX3 in GBM has been established, detailed molecular mechanism mediated the role of PBX3 remains largely unknown. It was recently proposed that PBX3 is a regulator of MEK/ERK1/2 pathway [
25]. As activation of MEK/ERK1/2 pathway usually facilitates GBM mesenchymal transition and progression [
44], it is reasonable to hypothesis that PBX3 promotes GBM mesenchymal transition via activation of MER/ERK1/2. Indeed, we demonstrated that PBX3 promotes GBM mesenchymal transition was mediated by MEK/ERK1/2 pathway. However, how PBX3 activates MEK/ERK1/2 in GBM remains largely unknown. Several activators of MEK/ERK1/2 in human cancers have been identified, such as RAF1 [
45], IGF-1R [
46] and Connexin-43 [
47]. Whether PBX3 activates MEK/ERK1/2 to promote mesenchymal transition through these driving factors remains to be investigated in future.
LIN28 has been shown to be a key RNA-binding protein and plays a critical role in cellular reprogramming and tumor transformation [
48]. Overexpression of LIN28 was prevalent in human cancers, including GBM [
28]. Moreover, through inhibiting let-7 biogenesis, LIN28 influences let-7 targets translation and promotes malignant progression of cancers [
49]. Recent reports showed that the LIN28/let-7 axis plays a critical role in promoting the cancer development, Warburg effect and cancer stem-cell like cells [
50‐
52]. However, the detailed molecular mechanisms involved in regulating LIN28/let-7 pathway in GBM is still unclear. Several mechanisms that contribute to the dysregulated LIN28 in cancers have been identified in previous studies. For example, miRNAs, such as miR-125b, was reported to inhibit LIN28 in some embryonic stem cells as well as in glioma cells [
17,
53]. Of note, let-7 miRNAs themselves have also been reported to regulate LIN28 expression, in a feedback manner [
50]. Moreover, several transcriptional factors, such as NF-κB [
54], c-myc [
30] and β-catenin [
55], can activate LIN28 and repress let-7 expression to augment cancer progression, while REST and ESE3/EHF are transcriptional repressors of LIN28 [
49,
51]. In our present study, we showed that PBX3 can indirectly regulate LIN28 by activating MEK/ERK1/2 axis and then inducing LIN28 expression by transcription factor c-myc, which is consistent with previous reports [
30]. The crosstalk between PBX3 and other LIN28 regulators, such as NF-κB, β-catenin, REST and ESE3/EHF should be investigated in future.
Recent studies reported that c-myc may play a key regulatory role in promoting EMT in many types of cancers [
56]. Importantly, c-myc has been reported to regulate miRNAs, which mediate its functions in cancer progression, including EMT. For example, Shao et al. reported that c-myc posttranscriptionally upregulates the expression of PHD finger protein 8 by repressing miR-22 to promote breast cancer EMT [
57]. In this study, we demonstrated that c-myc mediates PBX3 induced GBM mesenchymal transition at least partially by repressing let-7b expression. Previous studies have also documented that c-myc inhibits let-7 expression by upregulating let-7 biogenesis inhibitor LIN28 [
30], which is consistent with our result. Other miRNAs regulated by c-myc, such as miR-9, miR-23a, miR-15a/16–1, miR-106b, miR-34a, miR-148a and miR-25, are also involved in EMT regulation [
58]. Thus, targeting c-myc-induced miRNAs or restoring the expression of c-myc repressed miRNAs seems to be an obvious strategy to combat c-myc-driven EMT. Additional studies will be necessary to identify miRNAs connected to c-myc in GBM progression, especially in GBM mesenchymal transition, for targeted therapy.
TGF-β is a master inducer of EMT in cancer cells [
59]. In this study, our data indicate that PBX3 represent an important modulator of cell responsiveness to TGF-β: PBX3 is necessary for the induction of the mesenchymal transition in response to TGF-β in GBM cells. However, the molecular mechanisms by which PBX3 modulates the cellular sensitivity to TGF-β remains undetermined in this study. Previous studies have demonstrated that small mother against decapentaplegic (SMAD) signaling elicited by TGF-β plays a critical role in TGF-β induced EMT [
60]. In addition, activated TGF-β signaling pathway and high levels of phosphorylation-SMADs were found in human gliomas [
61]. Whether PBX3 mediates TGF-β-induced GBM mesenchymal transition through regulating SMAD signaling will be investigated in our next paper.