Article | Open

p38γ overexpression in gliomas and its role in proliferation and apoptosis

Published online:


The objective of this study was to confirm the biological role of p38γ in human gliomas. The expression profiles of p38γ and hTERT in human glioma samples were detected by Western Blot and immunohistochemistry. RNA interference was performed in U251 cells by p38γ silencing. Cell proliferation and apoptosis were assayed by CCK-8 and flow cytometric analysis, and then RNA and protein expression levels were measured by real-time RT-PCR and Western Blot, respectively. Telomerase activity assays and Caspase-3,-9 activation assays were also conducted. The results showed p38γ had a positive correlation with the glioma's malignancy grade and that the treatment of U251 cells with p38γ-siRNA inhibited proliferation and induced apoptosis. Correspondingly, hTERT expression and telomerase activity were down regulated and Caspase-3 and -9 activities were elevated. In conclusion, p38γ may serve as an oncogenic factor promoting the growth and progression of gliomas and may become a useful therapeutic target.


The p38 mitogen-activated protein kinases (MAPKs) contain four members (p38α, p38β, p38γ, and p38δ). In addition to a wide variety of biological functions, MAPKs differ in their expression patterns, substrate specificities, and sensitivities to inhibitors1,2. It is known that p38 can serve as a tumor suppressor by negatively regulating the proliferation and survival of the cells3,4,5. Specifically, it is believed that p38α is the most important negative regulation factor because numerous studies have seen its effects by using inhibitors special for p38α/β, which fall to suppress p38γ or p38δ6,7.

Also known as MAPK12, ERK6, and SAPK3, p38γ was first observed to be predominately in skeletal muscle, a negative regulator of stimulated glucose uptake in peripheral tissues8, and required for the maintenance of slow skeletal muscle size9. However, p38γ has now been observed in several human cancer cell lines10,11, and its pathway could modulate some processes involved in cellular malignant transformations, such as proliferation, cell cycle progression, or apoptosis11,12,13. Overexpressions of p38γ were also detected in colon and breast cancer tissues, which positively correlated with a poor prognosis of breast cancer12,14. These authors suggested that p38γ played a potential oncogenic role in a cancer's development and progression.

Gliomas are the most common primary brain tumor, yet few studies have focused on p38, even though it is regarded as a strong promoter of tumor invasion, progression, and poor patient survival15. Importantly, the anti-proliferation of glioblastoma cells induced by β-elemene was dependent upon p38 activation16. This shows p38, and possibly p38γ, has a positive function in the tumorigenesis of gliomas. Therefore, we aimed to investigate the expression of p38γ MAPK in glioma tissues and explore the relationships between p38γ and the progression of glioma. These findings may suggest a new-targeted approach of p38γ for future cancer therapy.


Up-regulation of p38γ and hTERT expression in gliomas

To determine the relationship between p38γ expression and glioma grade, Western Blotting was performed from the samples of 71 astrocytic glioma patients (grade I: 10; grade II: 18; grade III: 24; grade IV: 19) and 5 control samples. As shown in Figure 1 (also Supplementary Figure S1), the expression level of p38γ in high-grade glioma patients was significantly higher than that of the normal controls and low-grade glioma patients (P = 0.0014). Consistent with these results, we observed a significant increased in the level of p38γ according to the histological grade of astrocytomas from immunohistochemistry (Figure 2). Similar data could also be examined when detecting the level of hTERT (Figure 1 and 2, Supplementary Figure S1). Furthermore, there was a correlation between the two indexes (r = 0.818, P = 0.0006; Figure 1). All the results indicated that p38γ overexpression might be associated with the malignant degree of gliomas and have a role in its pathogenesis.

Figure 1: Up-expression of p38γ and hTERT in gliomas.
Figure 1

As to p38γ, the band intensity ratios of IOD were 0.18 ± 0.02 (control), 0.30 ± 0.04 (low-grade glioma), 0.54 ± 0.04 (high-grade glioma). In hTERT, the sequences were 0.05 ± 0.01 (control), 0.14 ± 0.02 (low-grade glioma), 0.25 ± 0.03 (high-grade glioma). Full-length blots are presented in Supplementary Figure S1.

Figure 2: Characteristic immunohistochemical staining for p38γ and hTERT in patients with different grade gliomas.
Figure 2

The “→” point out the positive cells yellowish-brown in cytoplasm (p38γ) or nucleus (hTERT).

Reduction of p38γ expression in U251 cells by siRNA

Quantitative RT-PCR and Western Blotting were performed to determine the effect of RNAi on the expression of p38γ in U251 cells. Our results revealed that the p38γ mRNA level in p38γ/siRNA treated cells (1.06 ± 0.05) was significantly down-regulated compared with the level in negative control siRNA-treated cells (13.01 ± 1.62) and blank control U251 cells (14.22 ± 1.14) (P = 0.0013; Figure 3a). Similar results were obtained when detecting the protein level of p38γ and hTERT by Western blotting (Figure 3b&c, Supplementary Figure S2). Additinonally, the descent of hTERT correlated with p38γ silencing (r = 0.667, P = 0.0294).

Figure 3: Reduction of p38γ expression in U251 cells by siRNA.
Figure 3

(a) RNAi leads to the down-regulation of p38γ mRNA level. ‘p38γ/siRNA’ refers to p38γ silencing group; ‘BC’ refers to blank control group; ‘NC’ refers to negative control siRNA-treated group. (b & c) RNAi leads to down-regulation of p38γ and hTERT protein expression in three groups. The band intensity ratio of p38γ/GAPDH in p38γ/siRNA-treated cells (0.20 ± 0.015) was significantly down-regulated compared with that in NC cells (0.59 ± 0.004) and BC U251 cells (0.58 ± 0.011). As to hTERT/GAPDH, the dates were 0.20 ± 0.020 (p38γ silencing group), 0.59 ± 0.013 (BC), and 0.57 ± 0.012 (NC). Full-length blots are presented in Supplementary Figure S2.

Downregulation of p38γ by siRNA inhibited cell proliferation in U251 cells

To investigate cell proliferation, the CCK-8 assay was performed. Compared to the control group, the knockdown of p38γ by siRNA reduced U251 cell proliferation to 46.99 ± 2.3% (P = 0.0009; Figure 4a). Furthermore, it was discovered that the telomerase activity (IOD value) in p38γ-silenced groups (303.3 ± 11.6) was significantly decreased to those of the control groups (P = 0.0010; Figure 4b).

Figure 4: Effect of p38γ silencing on the cell proliferation and apoptosis of U251 cells.
Figure 4

Downregulation of p38γ by siRNA induced decreasing of cell proliferation (a), while percent of apoptotic cells were increased (f) compared with control (d&e). p38γ silencing impaled descending telomerase activity in U251 glioma cells (b) and enhanced activities of caspase-3/-9 which induced cell apoptosis directly (c).

Knockdown of p38γ by siRNA in human U251 glioma cells resulted in cell apoptosis

Annexin V staining demonstrated that the amount of apoptotic cells in U251 cells transfected with p38γ siRNA was significantly increased when compared to cells untreated and transfected with control siRNA (Figure 4d, e, and f). The percent of apoptosis increased from 3.20 ± 0.02% in control groups to 11.97 ± 0.41% in p38γ silenced groups (P = 0.0011). This result indicated that siRNA targeting p38γ was able to induce apoptosis in glioma cells.

To further explore the role of p38γ in the apoptotic-signaling pathway, we examined the activities of caspase-3 and caspase-9 (Figure 4c). A significant enhancement of the two indexes was observed in U251 glioma cells treated with p38γ siRNA. The activity of caspase-3 was 103.2 ± 1.74 in the treatment group compared with 43.98 ± 0.64 (BC) and 46.49 ± 0.94 (NC) in the control groups (P = 0.0016). For caspase-9, the sequences were 42.21 ± 1.67 (p38γ/siRNA), 24.28 ± 0.69 (BC), and 26.24 ± 0.89 (NC) (P = 0.0018).


Important causes of tumor related deaths from the central nervous system are gliomas characterized by an unlimited proliferation and progressive local invasion17. Unfortunately, the underlying molecular mechanisms that result in astrocytomagenesis, local invasion, and recurrence remain unclear and are a major obstruction in finding novel therapeutic strategies18,19,20.

Many researches have shown that p38 MAPKs participated in tumorigenesis. p38 was also involved in the cytotoxicity of troglitazone (TGZ) in renal cell carcinoma (RCC) cell lines7, while its activation was obligate in tumor cell apoptosis induced by drugs6,21. It was found that a lack of p38α abrogates the radiosensitizing effect of 5-Fluorouracil (5-FU) in colorectal HCT116 cell lines22. As to human gliomas, researches indicated that the tumor occurrence was closely related to the MKK3/p38 pathway activation, and inhibition of p38 by LY479754 greatly sensitized arrested glioma cells to cytotoxic therapies15. Studies also detectd that p38 activation was one of the major causes for the increased chemosensitivity to CDDP on glioma cells23 Moreover, p38 inhibition was found to strongly reduce invasion of U251 glioblastoma cells in an inflammatory microenvironment24.

However, all of these researches have evident limitations. Most of the time, the inhibition of p38 was accomplished through inhibitors aimed specially at p38α/β, such as SB20219025. Few reports addressed the p38γ and p38δ isoforms. Recent studies indicated that the Ras oncogene positively regulated the expression of p38γ, which increases Ras-dependent growth or inhibits stress induced cell-death independent of phosphorylation26. This role that p38 played may be achieve by up-regulation of ERK (extracellular signal-regulated kinase) expression or banding with PTPH1 (Protein-tyrosine phosphatase H1)13,27. Furthermore, p38γ overexpression led to a marked cell cycle arrest in the G2/M phase12. All of these suggests p38γ could be involved in the tumor process. Therefore, p38γ was regarded as a potential drug target in recent experiments. It has been found that a depletion of p38γ suppressed Ras transformation in rat intestinal epithelial cells13. Knockdown of p38γ expression in mouse breast cancer cell lines 4T1 resulted in an obvious decrease in cell proliferation and colony formation in vitro and a dramatic retardation of tumorigenesis in vivo. In addition, down-regulation of p38γ initiated the activation of AKT signaling. The effect of targeting p38γ could be promoted by inhibition of this feedback loop with various PI3K/AKT signaling inhibitors12. Nonetheless, it was not known how p38γ might play a role in glioma tumorigenesis.

In this study, we first examined the expression of p38γ in gliomas of different degrees by Western Blot and immunohistochemistry. The data showed that p38γ was positively correlated with the glioma's malignancy grade. Previous research has indicated that hTERT may represent an indicator of progression and poor prognosis28. Our result of hTERT expression corresponds with this characterization. Moreover, there was cooperativity in the expression of p38γ and hTERT, which was also shown in sarcomas29.

p38γ silencing experiments showed that p38γ was involved in the cell proliferation of glioma cells. Along with the downregulation of p38γ by siRNA, the hTERT expression and telomerase activity both declined. Combined with the histological data above, we can deduce that hTERT may be a downstream target of p38γ that participates in cell suppression in glioma. It is not known how the p38γ in the cytoplasm is taken into nucleus and regulates hTERT expression. Up to now, available data didn't reveal the mechanism in detail29,30,31. However, the latest research has revealed that a lack of either p38γ or p38δ in K-Ras-transformed fibroblasts increased cell migration and MMP-2 secretion, and a lack of p38γ led to increased cell proliferation as well as tumorigenesis32. Additionally, the p38α/β inhibitor SB203580 was found to have no effect on abrogating the inhibitory effect of TNFα on hTERT in myeloid cells33. It was confirmed that p38α phosphorylation decreases p38γ protein expression via c-Jun-dependent ubiquitin-proteasome pathways, whereas its inhibition increases cellular p38γ concentrations, indicating an active role of p38α phosphorylation in negatively regulating p38γ protein expression26. Therefore, these conflicting results suggest that the p38 MAPK expression distribution of each subtype and their interactions should be included in future research.

Our research also revealed that siRNA targeting p38γ was able to induce apoptosis in glioma cells and reduce expression levels of Caspase-3/9. Recently, p38γ was thought to induce cell apoptosis according to regulation of the cell cycle. One study presented that p38γ deletion sensitizes cells to ultraviolet ray (UV) exposure, accompanied by prolonged S phase cell cycle arrest and an increased rate of apoptosis11. However, other tests performed in breast cancer cells indicated that p38γ overexpression resulted in cell cycle arrest in the G2/M phase, loss of p38 could induce pleiotropic mitotic defects, and the majority of p38-depleted cells die at mitotic arrest or soon after abnormal exit from M-phase10,12. This remains to be researched further.

In summary, our results indicated that p38γ is likely to be an oncogenic factor promoting growth and progression in gliomas. Meanwhile, p38γ induced tumorigenesis may act towards regulating the expression of hTERT. Therefore, p38γ may be a potential therapeutic target in glioma.


Patient samples

Human surgical biopsy samples taken from 71 patients with glioma were collected at the time of primary resection in the Neurosurgery Department of the Xiangya Hospital of Central South University from June to October in 2011. None of the patients had received chemotherapy or radiation before surgery. Five specimens of traumatic brain injury were used as nonneoplastic controls. All specimens were assessed by a pathologist according to the WHO Classification of Tumors of the Central Nervous System (4th edition, 2007), which were divided into low-grade glioma and high-grade glioma. Informed consents were obtained from the patients involved. This study was approved by the Ethic Committee of the Xiangya Hospital of Central South University.

Cell culture and transfection

The human U251 cells were maintained in Dulbecco's modified Eagle's medium (DMEM) supplemented with 10% fetal calf serum (FBS), penicillin (50 IU/ml), and streptomycin (50 mg/ml). p38γ siRNA (primers: 5′- GGAAGCGUGUUACUUACA ATT -3′(sense), 5′- UUGUAAGUAACACGCUUCCTT-3′ (antisense)), and negative control siRNA were purchased from Shanghai GenePharma Co., Ltd. Before the transfection procedure, U251 cells were seeded (2 × 105 cells/well) on six-well plates and grown to 70% confluence. Lipofetamine™ 2000 (Invitrogen) was utilized for transfection according to the manufacturer's instructions. After incubation for 20 min at room temperature, the mixtures of lipofetamine 2000 reagent and respective siRNA were diluted with culture medium and added to each well. Forty-eight hours after transfection, cells were harvested for quantitative real-time PCR and Western Blot analysis.

Quantitative PCR

Real-time PCR was done using SYBR Green PCR Master Mix (ABI, 4309155) and glyceraldehyde-3-phosphate dehydrogenase (GAPDH) served as an internal reference control. Primer sequences for p38γ were 5′- GCACACTGGATGAATGGAA-3′ (forward) and 5′- TCAGGTGGAAGGTGAAGGT-3′ (reverse), while for GAPDH they were 5- CAATGACCCCTTCATTGACC-3 (forward) and 5′- GACAAGCTTCCCGTTCTCAG-3′ (reverse). Primers were obtained from Sangon Biotech (Shanghai, China).

Cell viability assay

The cell viability was evaluated by Cell Counting Kit-8 (CCK-8) assay (Shanghai Beyotime Biotechnology Ltd., #C0038) with process steps from the kit's instructions. The optical density (OD) at 450 nm was recorded on a Microplate Reader (Bio-Rad, Hercules, CA, USA). The relative cell proliferation rate (% of control) was expressed as the percentage of (ODtest − ODblank)/(ODcontrol − ODblank), where ODtest is the optical density of the cells given siRNA, ODcontrol is the control sample, and ODblank is of the wells without U251 cells. Each experiment was performed three times.

Telomerase activity assay

Activity of telomerase was determined with TRAP-silver staining Telomerase Detection Kit (Beijing Midwest Group Science and Technology Ltd., #NKJ15DLM). Briefly, 2 μl telomerase extraction was added to 50 μl of a solution containing 5 ul 10× TRAP buffer, 1 μl dNTPs, 1 μl Taq-DNA polymerase, 1 μl TS primer, 2 μl telomerase extraction, 39 μl DEPC H2O, and 1 μl CX primer. Then, the reaction mixture was subjected to 30 cycles of PCR amplification (94°C for 30 s, 50°C for 30 s, 72°C for 90 s, 72°C for 5 min.). PCR products (9 μL) were electrophoresed in 1 μL 10× loading buffer on 10% nondenaturating polyacrylamide gel (PAG) at 220 V for 120 min. A silver staining positive result was the appearance of a ladder with a 6 bp increment. According to the Gel imaging analysis system (Bioshine GelX 1650), telomerase activity was shown by relative absorbance (integrated optical density, IOD).

Detection of apoptosis

The apoptosis was investigated using the Annexin V-FITC & PI Apoptosis Detection Kit (ADL, A0001a). All operations were performed in accordance with the instructions of the kit. Briefly, 5 μL annexin V-FITC and 10 μL PI were used per sample. The apoptosis of the U251 Cells (%) was analyzed by flow cytometry using a Becton Dickenson FACScan flow cytometer and Cell Quest software.

Caspase-3,-9 activation assay

The activity of caspase-3 was detected by cleavage of chromogenic caspase-3 substrates Ac-DEVD-pNA (acetyl-Asp-Glu-Val-Asp p-nitroanilide). Protein was extracted using ice-cold cell lysis buffer and total protein (1–3 mg/ml) was added to the reaction buffer containing 10 ul Ac-DEVD-pNA (2 mM), then incubated 60–120 min at 37°C. The free pNA cleaved from its precursor can be quantified using a spectrometer at 405 nm. A similar process was performed in the caspase-9 activity assay, but the substrates changed to Ac- LEHD -pNA (acetyl-Leu-Glu-His-Asp p-nitroanilide).

Western blot analysis

The procedures below were implemented to both tissue samples and U251 cells. The total proteins were prepared using the Total Protein Extraction Kit (ProMab, USA) and assayed quantitatively using the Bradford Protein Assay Kit (Beyotime, China). After conventional electrophoresis with 12% SDS-PAGE, separated proteins were transported onto a NC membrane (Pierce, Rockford, USA). Subsequently, the membrane was incubated with primary antibody against p38γ (SANTA, USA, 1:800) or hTERT (Epitomics, USA, 1:1000) overnight at 4°C. After washing, the membrane was incubated with each corresponding secondary antibody before visualized by chemiluminescence. Mouse monoclonal GAPDH (ProMab, USA, 1:1000) was used as the primary Ab for control. The densities of Western blot bands were detected using the software Gel Pro4.0 with presentation of IOD (integrated optical density). The band intensity ratio of p38γ or hTERT to GAPDH (p38γ/GAPDH, hTERT/GAPDH) from the same electrophoresis run was analyzed.

Immunohistochemistry and criterion

Immunohistochemistry (IHC) staining of 3 μm sections of glioma samples was performed with the HRP-Polymer anti-Mouse/Rabbit IHC Kit (Maixin_Bio, Fuzhou, China) in standard procedures. The primary antibodies were mouse monoclonal p38γ antibody (Origene, Rockville, MD, USA, 1:150) and rabbit monoclonal antibody against human telomerase reverse transcriptase (hTERT) (Abcam, Cambridge, MA, USA, 1:400). The positive cells were yellowish-brown in the cytoplasm (p38γ) or nucleus (hTERT) while unstained in negative cells.

Statistical analysis

SPSS 17.0 statistical software was used for the statistical analysis. Data was expressed as Mean ± SEM. One-way analysis of variance (ANOVA) and the Student– Newman–Keuls tests were used to analyze the significance of differences between study groups. Data was considered statistically significant at p < 0.05.


  1. 1.

    & New Insights into the p38gamma and p38delta MAPK Pathways. Journal of signal transduction 2012, 520289 (2012).

  2. 2.

    & Signal integration by JNK and p38 MAPK pathways in cancer development. Nature reviews. Cancer 9, 537–549 (2009).

  3. 3.

    & The pathways to tumor suppression via route p38. Trends in biochemical sciences 32, 364–371 (2007).

  4. 4.

    & The p38 MAPK stress pathway as a tumor suppressor or more? Front. Biosci. 13, 3581–3593 (2008).

  5. 5.

    & Roles of p38 MAPKs in invasion and metastasis. Biochem. Soc. Trans. 40, 79–84 (2012).

  6. 6.

    et al. Diosgenin induces death receptor-5 through activation of p38 pathway and promotes TRAIL-induced apoptosis in colon cancer cells. Cancer Lett 301, 193–202 (2011).

  7. 7.

    et al. Cytotoxicity of troglitazone through PPARgamma-independent pathway and p38 MAPK pathway in renal cell carcinoma. Cancer Lett 312, 219–227 (2011).

  8. 8.

    , , , & p38gamma MAPK regulation of glucose transporter expression and glucose uptake in L6 myotubes and mouse skeletal muscle. American journal of physiology. Regulatory, integrative and comparative physiology 286, R342–349 (2004).

  9. 9.

    , & p38gamma activity is required for maintenance of slow skeletal muscle size. Muscle & nerve 45, 266–273 (2012).

  10. 10.

    et al. Loss of p38gamma MAPK induces pleiotropic mitotic defects and massive cell death. Journal of cell science 124, 216–227 (2011).

  11. 11.

    , , & p38gamma regulates UV-induced checkpoint signaling and repair of UV-induced DNA damage. Protein & cell 1, 573–583 (2010).

  12. 12.

    et al. p38gamma mitogen-activated protein kinase contributes to oncogenic properties maintenance and resistance to poly (ADP-ribose)-polymerase-1 inhibition in breast cancer. Neoplasia 13, 472–482 (2011).

  13. 13.

    , , , & Essential role of p38gamma in K-Ras transformation independent of phosphorylation. The Journal of biological chemistry 280, 23910–23917 (2005).

  14. 14.

    et al. PTPH1 dephosphorylates and cooperates with p38gamma MAPK to increase ras oncogenesis through PDZ-mediated interaction. Cancer research 70, 2901–2910 (2010).

  15. 15.

    et al. MAP-ing glioma invasion: mitogen-activated protein kinase kinase 3 and p38 drive glioma invasion and progression and predict patient survival. Molecular cancer therapeutics 6, 1212–1222 (2007).

  16. 16.

    et al. Anti-tumor effect of beta-elemene in glioblastoma cells depends on p38 MAPK activation. Cancer Lett 264, 127–134 (2008).

  17. 17.

    Advances and challenges in the treatment of glioblastoma: a clinician's perspective. Discovery medicine 15, 221–230 (2013).

  18. 18.

    , , , & Molecular targeted therapy in recurrent glioblastoma: current challenges and future directions. Expert opinion on investigational drugs 21, 1247–1266 (2012).

  19. 19.

    & Molecular biology of glioma. Adv. Exp. Med. Biol. 746, 2–11 (2012).

  20. 20.

    & Understanding high grade glioma: molecular mechanism, therapy and comprehensive management. Cancer Lett 331, 139–146 (2013).

  21. 21.

    , , , & Requirement of p38 MAPK for a cell-death pathway triggered by vorinostat in MDA-MB-231 human breast cancer cells. Cancer Lett 315, 112–121 (2012).

  22. 22.

    et al. Abrogation of the p38 MAPK alpha signaling pathway does not promote radioresistance but its activity is required for 5-Fluorouracil-associated radiosensitivity. Cancer Lett 335, 66–74 (2013).

  23. 23.

    , , , & Inhibition of the met receptor tyrosine kinase signaling enhances the chemosensitivity of glioma cell lines to CDDP through activation of p38 MAPK pathway. Molecular cancer therapeutics 8, 1126–1136 (2009).

  24. 24.

    et al. p38 MAPK inhibitors attenuate pro-inflammatory cytokine production and the invasiveness of human U251 glioblastoma cells. J. Neurooncol. 109, 35–44 (2012).

  25. 25.

    et al. Blocking p38/ERK crosstalk affects colorectal cancer growth by inducing apoptosis in vitro and in preclinical mouse models. Cancer Lett 324, 98–108 (2012).

  26. 26.

    et al. p38alpha antagonizes p38gamma activity through c-Jun-dependent ubiquitin-proteasome pathways in regulating Ras transformation and stress response. The Journal of biological chemistry 282, 31398–31408 (2007).

  27. 27.

    et al. p38gamma Mitogen-activated protein kinase signals through phosphorylating its phosphatase PTPH1 in regulating ras protein oncogenesis and stress response. The Journal of biological chemistry 287, 27895–27905 (2012).

  28. 28.

    et al. Telomerase activity and hTERT mRNA expression in glial tumors. International journal of oncology 28, 1555–1560 (2006).

  29. 29.

    et al. Correlation between p38 mitogen-activated protein kinase and human telomerase reverse transcriptase in sarcomas. Journal of experimental & clinical cancer research: CR 31, 5 (2012).

  30. 30.

    , , & Transcriptional regulation of telomerase activity: roles of the the Ets transcription factor family. Ann. N. Y. Acad. Sci. 1114, 36–47 (2007).

  31. 31.

    & Regulation of telomerase reverse transcriptase gene activity by upstream stimulatory factor. Oncogene 22, 8042–8047 (2003).

  32. 32.

    et al. Evidence of p38gamma and p38delta involvement in cell transformation processes. Carcinogenesis 32, 1093–1099 (2011).

  33. 33.

    et al. Tumor necrosis factor-alpha inhibits hTERT gene expression in human myeloid normal and leukemic cells. Blood 106, 3200–3205 (2005).

Download references


We thank Juyun Yang at Xiangya Hospital of Central South University for her help.

Author information


  1. Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, 410008, China

    • Kui Yang
    • , Yunsheng Liu
    • , Zhixiong Liu
    • , Jinfang Liu
    • , Xin Chen
    • , Chuntao Li
    •  & Yu Zeng
  2. Department of Neurology, Hunan Provincial People's Hospital, Changsha, 410002, China

    • Xin Liu


  1. Search for Kui Yang in:

  2. Search for Yunsheng Liu in:

  3. Search for Zhixiong Liu in:

  4. Search for Jinfang Liu in:

  5. Search for Xin Liu in:

  6. Search for Xin Chen in:

  7. Search for Chuntao Li in:

  8. Search for Yu Zeng in:


K.Y. performed most of the experiments, analyzed the data, and wrote the manuscript. Z.L. and J.L. collected clinical samples and analyzed clinical data. X.C., C.L. and Y.Z. performed and analyzed cellular experiments. X.L. assisted with figures and experimental design. Y.L. designed the experiments and wrote the manuscript.

Competing interests

The authors declare no competing financial interests.

Corresponding author

Correspondence to Zhixiong Liu.

Supplementary information

PDF files

  1. 1.

    Supplementary Information

    Supplementary information


By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Creative CommonsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visit