Abstract
Glioma is the most prevalent type of tumor in the brain and is comprised of grades I–IV, according to the WHO classification system. Grade IV glioma is also known as glioblastoma multiforme (GBM), the most malignant type of glioma. Glioma is characterized by a complex molecular background, and gene profiling studies have disclosed critical genetic events in human gliomas, which make targeted therapies the most promising therapeutic strategy. However, crosstalk between the targeted signaling pathways may hinder the efficacy of targeted therapies in gliomas. Therefore, it is necessary to identify effective markers to stratify patients for specific therapeutic procedures. Although several mechanisms have been proposed based on the crosstalk between PI3K/AKT/mTORC1 and Hippo/YAP pathways, the clinical significance of the two pathways has not yet been assessed in a combinatorial manner. In this study, we evaluated the two pathways in human glioma specimens and observed the positive correlation between protein levels of p-mTORS2448 and YAP in gliomas. The findings indicated that high expression of p-mTORS2448 and YAP correlated with poor overall survival of glioma patients. As p-mTORS2448 is a specific marker of mTORC1 activation, our results reveal a potential interaction between mTORC1 and YAP, which might functionally participate in the development and progression of gliomas. In support of this hypothesis, a combination of inhibitors targeting mTORC1 and YAP showed a better inhibitory effect on growth of glioma cell lines. Altogether, our work, for the first time, reveals that p-mTORS2448 and YAP can be used as markers of PI3K/AKT/mTORC1 and Hippo/YAP pathway activity to predict prognosis and are target candidates for personalized medicine.
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Main
Glioma is the most prevalent malignancy in the brain and has been characterized as having a complex molecular background.1 Based on the WHO classification method, gliomas are divided into four grades: I, II, III, and IV. Grade IV glioma is also known as glioblastoma (GBM) (primary GBM), and grade III glioma has high potency to progress to GBM (secondary GBM).2 Despite the progress in surgical, radiotherapy, and/or chemotherapy, the primary and secondary GBMs are still intractable and show poor prognoses.3, 4 Because gene profiling studies have unveiled critical genetic events in human gliomas, target therapies are emerging as promising strategy of precision medicine. However, the complexity of signaling pathways related to these genetic events results in uncertainty as to what would be the appropriate targets and confines the application of target therapies in gliomas.5, 6 Therefore, it is necessary to identify effective markers to stratify patients for specific target therapies.
In gliomas, two development-related signaling pathways—Hippo and mTOR7, 8, 9, 10—have been investigated, respectively, and are involved in the development and progression of gliomas.11, 12 The Hippo pathway is highly conserved from drosophila to humans13, 14 and includes a group of tumor suppressors, such as Merlin, mammalian STE-20 kinase (Mst), WW-domain protein (WW45), large tumor suppressor (Lats), and Msp-one-binder 1 (Mob1). The major target of the Hippo pathway is Yes-associated protein (YAP) and transcriptional coactivator with PDZ-binding motif (TAZ, also known as WWTR1) (YAP/TAZ), which functions as a transcriptional factor to promote cell proliferation and inhibit apoptosis.15, 16, 17 In general, when cells are under adverse conditions, eg, high cell density and low nutrition, the Hippo pathway is activated through the stimulation of the tumor suppressors, which in turn phosphorylate YAP/TAZ and retains the complex in cytosol without transcriptional activity.18, 19, 20 However, when Hippo pathway switches off, non-phosphorylated YAP/TAZ is accumulated in the nucleus and is functionally activated.21, 22 The aberrant activation of YAP/TAZ is frequently detected in cancers and correlates with poor prognosis,23, 24, 25, 26 and YAP/TAZ has been considered as a drug target to antagonize YAP/TAZ-related cancers.27, 28
The mechanistic target of rapamycin (mTOR) signaling pathway has an important role in many aspects of cell behavior, such as proliferation, angiogenesis, cell survival, and metabolism.29 mTOR forms two complexes with different partners, mTOR complex 1 (mTORC1) and mTOR complex 2.29, 30 Raptor is essential for the efficient phosphorylation of mTORC1 downstream targets, whereas Rictor is critical for mTORC2 function. mTORC1 is activated by PI3K/AKT axis31 through phosphorylation of mTOR Ser 244832, 33 and activated mTOR phosphorylates p70S6K and 4E-BP1, leading to an increase of the protein translation rate.34 Dysregulation of the pathway has been found to contribute to various types of cancer,35, 36 and several inhibitors of this pathway have been tested in clinical trials.36 Moreover, PI3K/AKT/mTOR signaling pathway is highly activated and potential target for target therapy in GBM.37, 38
Recent reports have provided evidence of links between the mTOR and Hippo/YAP pathways, and the crosstalk of the two pathways regulates tissue homeostasis10, 39 and tumorigenesis.11, 40 Previous studies have linked mTOR and Hippo/YAP.41, 42 Specifically, mTORC1 engages in crosstalk with YAP through various mechanisms: YAP mediates crosstalk between the Hippo and PI3K-mTOR pathways by suppressing PTEN via miR-2910 and YAP/TAZ enhances mTORC1 activity via increase of amino-acid uptake.39, 43 Nevertheless, whether the association between YAP/TAZ and mTORC1 has clinical significance in human gliomas remains to be elucidated. In this study, we evaluated the expression of mTOR, p-mTORS2448 (mTORC1 specific phosphorylation form of mTOR), YAP, and p-YAP in clinical glioma specimens and found that both p-mTORS2448 and YAP were negatively correlated with prognosis of gliomas and simultaneous inhibition of both signaling pathways exerted more effective inhibition on the growth of glioma cells, which might provide a novel set of markers to stratify patients for appropriate combination therapy.
Materials and methods
Patient Samples
In this study, all the glioma tissue samples were collected from Department of Pathology of Southwest Hospital, Third Military Medical University (TMMU) between November 2013 and June 2014. None of the patients had received radiotherapy or chemotherapy before surgery. All the tissue samples were immediately processed after surgical removal, fixed with 4% formalin (pH 7.0), and embedded in paraffin for no >24 h. Pathological examination confirmed the diagnosis of glioma and was classified as glioma grade I–IV according to World Health Organization (WHO) criteria. The complete clinical and prognostic data for each tumor tissue sample were recorded. The survival time was calculated from the date of disease confirmed to death, and the dates of death were obtained from the public records. All protocols have been approved by the ethics committee of Southwest Hospital of TMMU.
Cell Culture
The human embryonic brain (HEB) cell line was kindly provided by Dr Guangmei Yan (Zhongshan School of Medicine, Sun Yat-Sen University, China). CHG544 and SHG4445 cells were established from the tumor specimens of patients with glioma (Southwest Hospital, TMMU). LN229 (human GBM cell line) was a kind gift from the College of Pharmacy at our university. T98G (human GBM cell line) was purchased from American Type Culture Collection (ATCC). All the cells were maintained in Dulbecco’s Modified Eagle Medium (Gibco) containing 10% FBS (Gibco) and incubated at 37 °C in a humidified incubator with 5% CO2/95% air.
Immunohistochemistry (IHC)
Surgical specimens were obtained from patients with gliomas (Southwest Hospital, TMMU). The follow protocol for IHC was performed according to our previous study.46 Primary antibodies that included anti-YAP antibodies (D24E4, rabbit monoclonal), anti-p-YAP antibodies (Ser127, rabbit monoclonal), anti-p-mTORS2448 antibodies (D9C2, rabbit monoclonal), and anti-mTOR antibodies (7C10, rabbit monoclonal) were purchased from Cell Signaling Technology. On each slide, a positive control for each antibody tested was included. The evaluation of IHC staining as follows: Five most characteristic high-power fields (× 400 magnification) per tissue section were manually selected using an Olympus BX51 microscope (Olympus, Tokyo, Japan). The respective areas of tumor islets and stromal were defined and measured using the Image-Pro Plus 6.0 software (Media Cybernetics, Silver Spring, MD, USA). As a substitute for the traditional grading method, IHC results that represent protein expression level were analyzed by Image-Pro Plus software to acquire accurate value of integral optic density and area in order to calculate average optical density.47
IC50 Calculation
Cells were seeded in 96-well plates at a density of 3000 cells/well. After overnight growth, the cells were exposed to Everolimus and peptide 17 with increasing concentrations, ranging from 0 and 80 μM for 48 h. The concentrations required to inhibit cell growth by 50% (IC50) were calculated from survival curves.
Cell Proliferation Assay
HEB and tumor cells (CHG5, SHG44, T98G, and LN229) were seeded into 96-well plates and treated for 24, 48, 72, and 96 h28, 48 using Everolimus and peptide 17 alone with IC50 concentrations we have measured (Figure 5a) or in combination with half of IC50 concentrations for each inhibitor, and DMSO was used as a control (drug vehicle). At the indicated intervals, 10 μl of Cell Counting Kit-8 (Beyotime, China) were added to each well and incubated for 1 h at 37 °C. Thermo Multiskan Spectrum Reader (Thermo Scientific) was used to measure the absorbance at 450 nm.
Western Blotting
HEB and tumor cells (CHG5, SHG44, T98G, and LN229) were treated for 12 h using Everolimus and peptide 17 alone with IC50 concentrations we have measured (Figure 5a) or in combination with half of IC50 concentrations for each inhibitor, and DMSO was used as a control (drug vehicle). Western blotting procedure was followed as previously described.49 All the antibodies were purchased from Cell Signaling Technology. The primary antibodies were as follows: anti-YAP (D24E4, rabbit monoclonal), anti-p-YAP (Ser127, rabbit monoclonal), anti-p-mTOR (Ser2448, 49F9, rabbit monoclonal), anti-mTOR (rabbit monoclonal), anti-p-S6 (Ser235/236, rabbit monoclonal), and anti-β-actin (mouse monoclonal).
Statistical Analysis
Multiple statistical methods were used to summarize the results of our study participants. Significance was established with the Graphpad Prism 5 software (Graphpad Software, Inc, San Diego, CA, USA) and SPSS statistical package for Windows version 13 (SPSS, Chicago, IL, USA), using Pearson’s Chi-squared test and Student’s t-test when appropriate. Pearson’s Chi-squared test was used to determine the correlation between YAP and p-mTORS2448 expression and clinical and pathological features of patients. Patients’ survival was analyzed with Kaplan–Meier method, using the log-rank test for comparison. The statistical software X-tile was used to determine the cutoff in the glioma cohort 50. The correlation between the expression levels of different proteins was measured using nonparametric correlation test and curvilinear regression model. All experiments were performed at least three times with triplicate samples.
Results
Clinical–Pathological Characteristics of Patients
Clinical–pathological information of 72 patients was summarized in Table 1. The patients’ ages range from 4 to 72 years and included 38 males and 34 females. The gliomas were classified into four grades (I, II, III, and IV) by WHO classification. The grade I and II gliomas were generally referred to as low-grade gliomas (LGG), whereas the grade III and IV gliomas as high-grade gliomas (HGG).50 Tumor locations of the patients were varied but had no grade-specific distributions. All the patients received chemotherapy or chemo-radiotherapy after surgical resection. In addition, both IDH1 and IDH2 mutations were identified in samples with total higher mutation rate in LGG than in HGG (53.1 vs 22.5% for IDH1 and 9.4 vs 7.5% for IDH2).
Protein Expression of mTOR, p-mTORS2448, YAP, and p-YAP in Gliomas
To study the protein expression and status of mTOR and YAP in glioma tissues, we performed immunostaining with anti-mTOR, anti-p-mTORS2448, anti-YAP, and anti-p-YAP antibodies (Figure 1a and Table 2). We detected high expression of mTOR in 19 of LGG (59.45%) and 22 of HGG (55%), p-mTORS2448 in 11 of LGG (34.4%) and 31 of HGG (62.5%), YAP in 20 of LGG (62.5%) and 25 of HGG (77.5%), and p-YAP in 22 of LGG (68.7%) and 23 of HGG (57.5%) (Table 2). Statistical analysis indicated that p-mTORS2448 and YAP were significantly elevated in HGG vs LGG (P=0.0071 for p-mTORS2448 and P=0.0134 for YAP), but not in mTOR and p-YAP (Figure 1b). It is well known that YAP functions as a transcriptional factor, and its nuclear localization represents its activation. Our data indicate that high YAP staining was also accompanied by strong nuclear staining (Figure 1c), which suggests that the YAP protein level is a reliable indicator for YAP activity in gliomas. It was noted that the IHC staining indicated that not all cells evenly expressed these proteins (Figures 1a and c), which might result from the heterogenicity of glioma that has been well documented and is thought to be a critical factor when considering treatment responses for glioma.1, 4
Correlation of Expression of p-mTORS2448 and YAP in Gliomas
As only p-mTORS2448 and YAP were expressed significantly differently between HGG vs LGG, we further evaluated the expression between the two proteins. Pearson’s analysis revealed a previously unreported result that the expression p-mTORS2448 and YAP are positively correlated with each other (Figure 2a). IHC on continuous tissue sections further confirmed that high expression of p-mTORS2448 and YAP were concurrent in the same samples (Figure 2b), implying that a crosstalk between mTOR and Hippo pathways might exist in gliomas through the coordination of p-mTORS2448 and YAP.
Relationship Between p-mTORS2448/YAP Expression and IDH Status in Gliomas
IDH1 and IDH2 are considered important prognostic markers for glioma patients, and mutated IDH is often related to improved prognosis. Thus we asked whether the expression of p-mTORS2448 and YAP was also related with the IDH status in glioma. In our cohort, there was no statistically significant difference in the expression of p-mTORS2448 or YAP in glioma samples with IDH mutation vs those with IDH wild type (Figure 3), which implies that the mTOR and YAP pathways are independent of the IDH status in glioma.
Prognostic Significance of p-mTOR and YAP in Gliomas
Using Kaplan–Meier survival analysis, we found that both p-mTORS2448 and YAP overexpression were associated with lower overall survival rates in all the patients (P<0.0001 and P=0.0002, respectively; Figures 4a and b). Moreover, the combination of expression of p-mTORS2448 and YAP was also negatively related with the overall survival of patients (P=0.0052; Figure 4c). As p-mTORS2448 and YAP were significantly higher in HGG (Figure 1), we next analyzed their prognostic significance specifically in HGG. Similar to our findings for all grades of gliomas, there was a significant inverse relationship between the length of overall survival and the expression of p-mTORS2448 (P=0.0151; Figure 4d), YAP (P=0.0366; Figure 4e), as well as the combination of p-mTORS2448 and YAP (P=0.0174; Figure 4f). The Cox regression analysis on mTOR, p-mTOR, YAP, and p-YAP further indicated that YAP protein levels can be an independent prognosis factor (Table 3).
Evaluation of mTOR and YAP as Therapeutic Targets in Glioma Cell Lines
To ascertain the biological activity of the crosstalk between the two signaling pathways, we examined the effect of Everolimus (mTORC1 inhibitor) and peptide 17 (YAP inhibitor) alone or in combination on the growth of four glioma cell lines—CHG5 (grade II), SHG44 (grade III), T98G (grade IV), LN229 (grade IV) —and a normal glia—HEB by CCK8 assay. We first examined the IC50 of the two inhibitors in these cell lines (Figure 5a), and the data showed that HEB cells had the highest IC50 values for both inhibitors among all five cell lines, meaning that HEB cell might be more resistant to the inhibitors than the other four glioma cell lines. The cell growth assay showed that the combination treatment using Everolimus and peptide 17 assumed more efficient inhibitory efficacy in the tumor cells compared with treatment with either Everolimus or peptide 17 alone, especially in LN229 cell line (Figure 5b). However, HEB cells were more resistant to the inhibitor treatments, either single or combination, than the glioma cell lines, which was also consistent with the highest IC50 of inhibitors for HEB cells (Figure 5a). Western blotting further showed that mTOR, p-mTORS2448, YAP, and p-YAP were clearly detected, and another mTORC1 marker, p-pS6 was also positive in all five cell lines, meaning that mTOR and YAP pathways were functionally involved in these cell lines (Figure 6). Interestingly, in LN229 cells, which possessed the comparable mTOR activation with other cell lines but highest YAP activation featured with the strongest total YAP and weak p-YAP signals (Figure 6), we observed the best combination effects (Figure 5b), which further supported our notion that co-examination of both mTOR phosphorylation and total YAP could be markers to predict combination effects (Figure 6).
Discussion
In this work, we observed the positive correlation between protein levels of p-mTORS2448 and YAP in gliomas. Furthermore, the findings indicate that high expression levels of p-mTORS2448 and YAP correlate with poor overall survival of glioma patients. As p-mTORS2448 is a specific marker of mTORC1 activation, our results implied an interaction between mTORC1 and YAP, which might functionally participate in the development and progress of gliomas. Although several mechanisms have been proposed for the crosstalk between the PI3K/AKT/mTORC1 and Hippo/YAP pathways,10, 39, 41, 42, 43 the clinical significance of the two pathways has not yet been assessed in a combinatorial manner. Our work, for the first time, reveals that p-mTORS2448 and YAP can be used as markers of the PI3K/AKT/mTORC1 and Hippo/YAP pathways to predict prognosis. It is worth mentioning that p-mTORS2448 and YAP also behaved as indicators of survival in HGG, and integration of the two markers could be applied to assess prognosis of patients with GBM, the most malignant form of glioma.1
The PI3K/AKT/mTOR axis induces phosphorylation of mTOR at Ser2448 followed by the activation of mTORC1,32, 33 and thus targeting mTORC1 by rapamycin and its analogs (rapalogs) is a potent way to block this oncogenic axis, which have been extensively examined in clinical trials. Several rapalogs have been developed by pharmaceutical companies to target mTORC1 in organ transplantation and cancer treatment, such as rapamycin (Sirolimus), Temsirolimus, Everolimus, and Deforolimus.29, 30, 36 Everolimus has been approved to treat subependymal giant cell astrocytoma, a type of grade I glioma.51 A phase II trial of Everolimus, temozolomide, and radiotherapy in patients with GBM suggested that, in spite of an initial antiproliferative effect in a genetically distinct subset of tumors, the treatment did not increase survival compared with conventional therapy,52 suggesting that other markers may be required. In addition, Temsirolimus has not shown satisfactory effects on GBM in phase II clinical trial due to insufficient inhibition of mTOR pathway.53, 54 Similarly, it has been reported that PI3K–mTOR pathway inhibition showed modest efficacy on HGG when used as a single agent, and it may be more effective to use it in combination with inhibitors targeting other activated pathways.38 These results indicate that combination of an mTOR inhibitor with another agent may be more beneficial than application of an individual mTOR inhibitor. In support of this concept, combination treatment has been reported in several preclinical or clinical trials for multiple cancer types, including gliomas. For example, Erlotinib (EGFR inhibitor) and Temsirolimus have been used to treat HGG in phase I/II clinical trials.55 The combination of Everolimus, temozolomide, and radiation therapy has been tested in patients with newly diagnosed GBM in a phase I clinical trial.56 Temsirolimus has also been tested in combination with chemoradiation or bevacizumab for GBM.57, 58 Therefore, combination treatment including an mTORC1 inhibitor might be a useful strategy for glioma with mTORC1 overexpression. So far, the YAP inhibitor has not yet been tested in clinical trials for GBM, but our work herein suggests that the YAP inhibitor may enhance the effects of mTOR inhibitors, which provides a new avenue for the combination treatment. Interestingly, in LN229 cells, which showed the highest levels of YAP activation and high total YAP with low phosphorylated YAP, we observed the best combination effects, which further supports our notion that examination of both mTOR phosphorylation and total YAP are markers to predict the efficacy of combination treatment.
Although the mechanisms on the crosstalk of mTOR and Hippo/YAP pathways have not been further explored, our data herein, through specimen-based analysis and in vitro assays, indicate that the protein levels of p-mTORS2448 and YAP not only serve as markers to predict patient prognosis but also as therapeutic markers to stratify patients for target therapy with mTOR and YAP inhibitors.
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Acknowledgements
This work was supported by the Thousand Talents Plan - Youth Program to YW, the National Key Research and Development Program of China (No. 2016YFA0101203) to XWB, the National Natural Science Foundation of China (No. 81230062 and No. 61327902-4) to XWB, (No. 81402066) to YLY, (No. 81602197) to JT.
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In this study, the data from specimen-based analysis and biological assays reveal that the phosphorylated protein kinase mTORS2448 and the transcriptional coactivator YAP are positively correlated in gliomas. The two proteins can be used as markers for PI3K/AKT/mTORC1 and Hippo/YAP pathways to predict prognosis and are target candidates for precision medicine.
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Liu, M., Lin, Y., Zhang, XC. et al. Phosphorylated mTOR and YAP serve as prognostic markers and therapeutic targets in gliomas. Lab Invest 97, 1354–1363 (2017). https://doi.org/10.1038/labinvest.2017.70
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DOI: https://doi.org/10.1038/labinvest.2017.70
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Scientific Reports (2018)
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Actin like-6A promotes glioma progression through stabilization of transcriptional regulators YAP/TAZ
Cell Death & Disease (2018)