Cited by 51

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

MicroRNA-128-3p Enhances the Chemosensitivity of Temozolomide in Glioblastoma by Targeting c-Met and EMT

Zhao, Chengbin, Guo, Ruiming, Guan, Fangxia, Ma, Shanshan, Li, Mu, Wu, Junru, Liu, Xianzhi, Li, Hongwei, Yang, Bo·2020·Scientific Reports

Abstract

Temozolomide is a first line anti-tumor drug used for the treatment of patients with Glioblastoma multiforme (GBM). However, the drug resistance to temozolomide limits its clinical application. Therefore, novel strategies to overcome chemoresistance are desperately needed for improved treatment of human GBM. Recent studies have demonstrated that miRNAs are closely related to resistance to cancer chemotherapy. This study aimed to further validate the biological role of miR-128-3p and to investigate whether miR-128-3p can enhance the chemosensitivity of glioblastoma to temozolomide (TMZ) and the underlying mechanisms. The effects of miR-128-3p and TMZ on the proliferation of glioblastoma cells were investigated by cell counting kit-8 (cck8). Transwell and intracerebral invasion assays were applied to determine the effects of the combination of miR-128-3p and TMZ on the invasion and migration of glioblastoma in vitro and in vivo. Flow cytometry was used to detect apoptosis in each group, and immunofluorescence was used to determine the expression levels of EMT-related proteins. RT-PCR and Western-blot were applied to detect EMT-transformed proteins (c-Met, PDGFRα, Notch1, and Slug) and EMT phenotype-associated proteins (Vim, CD44, and E-cadherin) at both mRNA and protein levels. Based on the microRNA.org database, we predicted the target genes of miR-128-3p. The target-relationship between miR-128-3p and c-Met and PDGFRα was verified by dual luciferase reporter gene. The tumor volume, weight and the expression levels of the proteins described above were measured in subcutaneously transplanted tumor model in nude mice. We found that the expression of miR-128-3p was down-regulated in glioblastoma tissue samples and cell lines. miR-128-3p suppressed the proliferation, migration, and invasion of GBM both in vitro and in vivo; miR-128-3p enhanced the therapeutic effect of TMZ via inhibition of proliferation, invasion and migration of glioblastoma cells and induction of apoptosis. Overexpression of miR-128-3p down-regulated the expression levels of EMT-transformed proteins (c-Met, PDGFRα, Notch1 and Slug) to enhance the effect of TMZ. In addition, we found that miR-128-3p targeted and bound c-Met. More importantly, the upregulation of c‐Met significantly prompted U87 and U251 cell proliferation. This effect could be abolished when c‐Met was silenced. The investigation in tumor bearing nude mice showed that miR-128-3p in combination with TMZ reduced tumor volume and the invasion extent, and increased the sensitivity of glioblastoma to TMZ. miR-128-3p is capable of enhancing the sensitivity of glioblastoma to TMZ through regulating c-Met/EMT.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41598-020-65331-3

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Figures

Figure 1 Expression of miR-128-3p in glioma cell lines and tissues and in vitro and in vivo functions. (A) TCGA analysis of the expression of miR-128-3p and prognosis (n = 620, p = 0.0026); (B) RT-PCR detection of expression of Hsa-miR-128-3p gene in glioma cell lines U251, SHG44, A172, U87, LN229 and HA1800. U6 were taken as an internal reference gene, compared with HA1800 (C) The relative expression level of hsa-miR-128-3p in glioma tissues (tumor) and their matched adjacent normal tissues was examined by RT-PCR. The date were presented as fold change. normalized by U6, n = 24. Compared with the control group, * means P < 0.05, *** means P < 0.001.
Figure 1 Expression of miR-128-3p in glioma cell lines and tissues and in vitro and in vivo functions. (A) TCGA analysis of the expression of miR-128-3p and prognosis (n = 620, p = 0.0026); (B) RT-PCR detection of expression of Hsa-miR-128-3p gene in glioma cell lines U251, SHG44, A172, U87, LN229 and HA1800. U6 were taken as an internal reference gene, compared with HA1800 (C) The relative expression level of hsa-miR-128-3p in glioma tissues (tumor) and their matched adjacent normal tissues was examined by RT-PCR. The date were presented as fold change. normalized by U6, n = 24. Compared with the control group, * means P < 0.05, *** means P < 0.001.CC BY · PubMed Central
Figure 2 miR-128-3p suppressed the proliferation, migration and invasion of GBM in vitro and in vivo. (A) RT-PCR was used to verify the expression of miR-128-3p in stably transfected U87 and U251 cells; (B) cck-8 detects cell viability; (C,D) Transwell detects invasion, migration and statistical analysis, (E,F) wound healing experiments and statistical analysis, (G) RT-PCR was used to verify the expression of miR-128-3p gene, U6 was taken as an internal reference gene; (H) tumor-bearing results in nude mice, (I) tumor growth curve analysis; and (J) statistical analysis of tumor weight. Each sample was repeated in triplicate. Data are expressed as mean ± standard error. Compared with the LV-miR-NC group, * means P < 0.05, ** means P < 0.01, and *** means P < 0.001, # means P < 0.05.
Figure 2 miR-128-3p suppressed the proliferation, migration and invasion of GBM in vitro and in vivo. (A) RT-PCR was used to verify the expression of miR-128-3p in stably transfected U87 and U251 cells; (B) cck-8 detects cell viability; (C,D) Transwell detects invasion, migration and statistical analysis, (E,F) wound healing experiments and statistical analysis, (G) RT-PCR was used to verify the expression of miR-128-3p gene, U6 was taken as an internal reference gene; (H) tumor-bearing results in nude mice, (I) tumor growth curve analysis; and (J) statistical analysis of tumor weight. Each sample was repeated in triplicate. Data are expressed as mean ± standard error. Compared with the LV-miR-NC group, * means P < 0.05, ** means P < 0.01, and *** means P < 0.001, # means P < 0.05.CC BY · PubMed Central
Figure 3 miR-128-3p increases the effect of TMZ in vitro. TMZ: Temozolomide (A) cck-8 for cell viability, (B,C) Transwell for cell migration, invasion, and statistical analysis (D,E) wound healing assay for migration and statistical analysis, (F,G) Detection of apoptosis and statistical analysis with flow cytometry. Each sample was repeated in triplicate. Data are expressed as mean ± standard error. Compared with the LV-miR-NC group, * means P < 0.05, ** means P < 0.01, and *** means P < 0.001.
Figure 3 miR-128-3p increases the effect of TMZ in vitro. TMZ: Temozolomide (A) cck-8 for cell viability, (B,C) Transwell for cell migration, invasion, and statistical analysis (D,E) wound healing assay for migration and statistical analysis, (F,G) Detection of apoptosis and statistical analysis with flow cytometry. Each sample was repeated in triplicate. Data are expressed as mean ± standard error. Compared with the LV-miR-NC group, * means P < 0.05, ** means P < 0.01, and *** means P < 0.001.CC BY · PubMed Central
Figure 4 miR-128-3p increases the effect of TMZ in vivo. (A) RT-PCR to verify miR-128-3p gene expression, U6 as an internal reference gene; (B) Photographs of the dissected tumors. (C) tumor growth curve analysis; (D) tumor weight statistical analysis; (E) U251 brain invasion test, (1) Stereotactic injection of mixed U251 cells (LV-miR-NC group (DIL-red) + LV-miR-128-3p group (DIO-green)) (2) intracerebral injection sites; (3) and (5) same sagittal plane fluorescence imaging, (4) and (6) same cross-sectional fluorescence imaging, The red circle represents the intracerebral invasion range of the LV-miR-NC group, and the green circle represents the intracerebral invasion range of the LV-miR-128-3p group, (7) and (8) Sagittal and cross-sectional merge imaging; (F) statistical analysis of intracerebral invasion experiments, each sample was repeated three times. Data are expressed as mean ± standard error. Compared with the TMZ + LV-miR-NC group, * means P < 0.05, ** means P < 0.01, and *** means P < 0.001.
Figure 4 miR-128-3p increases the effect of TMZ in vivo. (A) RT-PCR to verify miR-128-3p gene expression, U6 as an internal reference gene; (B) Photographs of the dissected tumors. (C) tumor growth curve analysis; (D) tumor weight statistical analysis; (E) U251 brain invasion test, (1) Stereotactic injection of mixed U251 cells (LV-miR-NC group (DIL-red) + LV-miR-128-3p group (DIO-green)) (2) intracerebral injection sites; (3) and (5) same sagittal plane fluorescence imaging, (4) and (6) same cross-sectional fluorescence imaging, The red circle represents the intracerebral invasion range of the LV-miR-NC group, and the green circle represents the intracerebral invasion range of the LV-miR-128-3p group, (7) and (8) Sagittal and cross-sectional merge imaging; (F) statistical analysis of intracerebral invasion experiments, each sample was repeated three times. Data are expressed as mean ± standard error. Compared with the TMZ + LV-miR-NC group, * means P < 0.05, ** means P < 0.01, and *** means P < 0.001.CC BY · PubMed Central
Figure 5 miR-128-3p increases TMZ chemosensitivity by inhibiting EMT and related pathways. (A) immunofluorescence analysis of α-Tubulin and F-actin expression; (B) immunofluorescence analysis of EMT-related protein VIM and E-cadherin expression; (C) immunofluorescence detection of subcutaneous tumor-bearing model EMT-related protein in nude mice VIM and E-cadherin expression; (D) Western-blot detection of EMT-related protein VIM, CD44, E-cadherin expression, GAPDH as an internal reference; (E) RT-PCR detection of EMT-related genes VIM, CD44, E-cadherin expression; (F) Western-blot detection of the expression of PDGFRα, Notch1 and Slug protein, GAPDH was taken as the internal reference, (G) Western-blot statistical analysis; (H) RT-PCR detection of the mRNA expression levels of PDGFRα, Notch1 and Slug genes. Each sample was repeated in triplicate. The data is expressed as mean ± standard error. Compared with the miR-NC group, * means P < 0.05, ** means P < 0.01, and *** means P < 0.001.
Figure 5 miR-128-3p increases TMZ chemosensitivity by inhibiting EMT and related pathways. (A) immunofluorescence analysis of α-Tubulin and F-actin expression; (B) immunofluorescence analysis of EMT-related protein VIM and E-cadherin expression; (C) immunofluorescence detection of subcutaneous tumor-bearing model EMT-related protein in nude mice VIM and E-cadherin expression; (D) Western-blot detection of EMT-related protein VIM, CD44, E-cadherin expression, GAPDH as an internal reference; (E) RT-PCR detection of EMT-related genes VIM, CD44, E-cadherin expression; (F) Western-blot detection of the expression of PDGFRα, Notch1 and Slug protein, GAPDH was taken as the internal reference, (G) Western-blot statistical analysis; (H) RT-PCR detection of the mRNA expression levels of PDGFRα, Notch1 and Slug genes. Each sample was repeated in triplicate. The data is expressed as mean ± standard error. Compared with the miR-NC group, * means P < 0.05, ** means P < 0.01, and *** means P < 0.001.CC BY · PubMed Central
Figure 6 miR-128-3p directly targets c-Met. (A) MET and PDGFRα 3′UTR and Has-miR-128-3p targeted binding site; (B) c-Met dual luciferase statistical analysis; (C) Statistical analysis of PDGFRα dual luciferase; (D) Analysis of the relationship between miR-128-3p and c-Met and PDGFRα expression in TCGA database; (E) Western-blot detection of the expression of c-Met protein; (F) Western-blot statistical analysis; (G) RT-PCR was used to detect the expression level of c-Met mRNA (H,I) cck-8 for cell viability. Data are expressed as mean ± standard error. Compared with the miR-NC group, * means P < 0.05, ** means P < 0.01, and *** means P < 0.001.
Figure 6 miR-128-3p directly targets c-Met. (A) MET and PDGFRα 3′UTR and Has-miR-128-3p targeted binding site; (B) c-Met dual luciferase statistical analysis; (C) Statistical analysis of PDGFRα dual luciferase; (D) Analysis of the relationship between miR-128-3p and c-Met and PDGFRα expression in TCGA database; (E) Western-blot detection of the expression of c-Met protein; (F) Western-blot statistical analysis; (G) RT-PCR was used to detect the expression level of c-Met mRNA (H,I) cck-8 for cell viability. Data are expressed as mean ± standard error. Compared with the miR-NC group, * means P < 0.05, ** means P < 0.01, and *** means P < 0.001.CC BY · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Research works printed but not linked: 37

  1. Jantas, D. et al. An endogenous and ectopic expression of metabotropic glutamate receptor 8 (mGluR8) inhibits proliferation and increases chemosensitivity of human neuroblastoma and glioma cells. Cancer Lett. 432, 1–16 (2018). · DOI
  2. Lin, S. B. & Gregory, R. I. MicroRNA biogenesis pathways in cancer. Nat. Rev. Cancer 15, 321–333 (2015). · DOI
  3. Li, M. L. et al. MiR-128 and its target genes in tumorigenesis and metastasis. Exp. Cell Res. 319, 3059–3064 (2013). · DOI
  4. Liang, R. F. et al. Circulating miR-128 as a potential diagnostic biomarker for glioma. Clin. Neurol. Neurosur 160, 88–91 (2017). · DOI
  5. Xiao, M. et al. MiR-128 regulation of glucose metabolism and cell proliferation in triple-negative breast cancer. Brit J. Surg. 105, 75–85 (2018). · DOI
  6. Zhao, L. et al. Tumor suppressor miR-128-3p inhibits metastasis and epithelial-mesenchymal transition by targeting ZEB1 in esophageal squamous-cell cancer. Acta biochimica et. biophysica Sin. 50, 171–180 (2018). · DOI
  7. Han, H. C., Wang, L. S., Xu, J. & Wang, A. K. MiR-128 induces pancreas cancer cell apoptosis by targeting MDM4. Exp. Ther. Med. 15, 5017–5022 (2018).
  8. Frixa, T. et al. MicroRNA-128-3p-mediated depletion of Drosha promotes lung cancer cell migration. Carcinogenesis. 39, 293–304 (2018). · DOI
  9. Peruzzi, P. et al. MicroRNA-128 coordinately targets Polycomb Repressor Complexes in glioma stem cells. Neuro Oncol. 15, 1212–1224 (2013). · DOI · Paper page
  10. Zhou, Q. et al. MicroRNAs as potential biomarkers for the diagnosis of glioma: A systematic review and meta-analysis. Cancer Sci. 109, 2651–2659 (2018). · DOI · Paper page
  11. Shang, C., Hong, Y., Guo, Y., Liu, Y. H. & Xue, Y. X. MiR-128 regulates the apoptosis and proliferation of glioma cells by targeting RhoE. Oncol. Lett. 11, 904–908 (2016). · DOI
  12. Su, Y. et al. Long non-coding RNA LOC100507600 functions as a competitive endogenous RNA to regulate BMI1 expression by sponging miR128-1-3p in Hirschsprung’s disease. Cell Cycle. 17, 459–467 (2018). · DOI
  13. Nieto, M. A., Huang, R. Y., Jackson, R. A. & Thiery, J. P. Emt: 2016. Cell. 166, 21–45 (2016). · DOI · Paper page
  14. Li, H. W. et al. Long Non-Coding RNA MALAT1 Decreases the Sensitivity of Resistant Glioblastoma Cell Lines to Temozolomide. Cell. Physiol. Biochem. 42, 1192–1201 (2017). · DOI
  15. Li, J. L. et al. Targeting the Notch1 oncogene by miR-139-5p inhibits glioma metastasis and epithelial-mesenchymal transition (EMT). Bmc Neurol. 18, 133–145 (2018). · DOI
  16. Weidenfeld, K. & Barkan, D. EMT and Stemness in Tumor Dormancy and Outgrowth: Are They Intertwined Processes? Front. Oncol. 8, 381–386 (2018). · DOI
  17. Diaz-Lopez, A., Moreno-Bueno, G. & Cano, A. Role of microRNA in epithelial to mesenchymal transition and metastasis and clinical perspectives. Cancer Manag. Res. 6, 205–216 (2014).
  18. Rashed, W. M. C-MET as a potential target therapy toward personalized therapy in some pediatric tumors: An overview. Crit. Rev. Oncol. Hemat 131, 7–15 (2018). · DOI
  19. Piao, Y. J. et al. Novel MET/TIE2/VEGFR2 inhibitor altiratinib inhibits tumor growth and invasiveness in bevacizumab-resistant glioblastoma mouse models. Neuro-Oncology. 18, 1230–241 (2016). · DOI
  20. Fornari, F. et al. MiR-199a-3p regulates mTOR and c-Met to influence the doxorubicin sensitivity of human hepatocarcinoma cells. Cancer Res. 70, 5184–5193 (2010). · DOI
  21. Kong, D. S. et al. Prognostic significance of c-Met expression in glioblastomas. Cancer. 115, 140–148 (2009). · DOI
  22. Boccaccio, C. & Comoglio, P. M. The MET oncogene in glioblastoma stem cells: implications as a diagnostic marker and a therapeutic target. Cancer Res. 73, 3193–3199 (2013). · DOI
  23. Modali, S. D., Parekh, V. I., Kebebew, E. & Agarwal, S. K. Epigenetic regulation of the lncRNA MEG3 and its target c-MET in pancreatic neuroendocrine tumors. Mol. Endocrinol. 29, 224–237 (2015). · DOI
  24. Wen, P. Y. et al. A phase II study evaluating the efficacy and safety of AMG 102 (rilotumumab) in patients with recurrent glioblastoma. Neuro Oncol. 13, 437–446 (2011). · DOI
  25. Cabanillas, M. E., Brose, M. S., Holland, J., Ferguson, K. C. & Sherman, S. I. A phase I study of cabozantinib (XL184) in patients with differentiated thyroid cancer. Thyroid. 24, 1508–1514 (2014). · DOI
  26. Choueiri, T. K. et al. A phase I study of cabozantinib (XL184) in patients with renal cell cancer. Ann. Oncol. 25, 1603–1608 (2014). · DOI
  27. Xie, C. et al. Candidate genes and microRNAs for glioma pathogenesis and prognosis based on gene expression profiles. Mol. Med. Rep. 18, 2715–2723 (2018).
  28. Li, H. W. et al. KAP regulates ROCK2 and Cdk2 in an RNA-activated glioblastoma invasion pathway. Oncogene. 34, 1432–1441 (2015). · DOI
  29. Yu, W. W., Jiang, H., Zhang, C. T. & Peng, Y. The SNAIL/miR-128 axis regulated growth, invasion, metastasis, and epithelial-to-mesenchymal transition of gastric cancer. Oncotarget. 8, 39280–39295 (2017). · DOI
  30. Wakelee, H. A. et al. A phase Ib/II study of cabozantinib (XL184) with or without erlotinib in patients with non-small cell lung cancer. Cancer Chemother. Pharmacol. 79, 923–932 (2017). · DOI
  31. Pilotto, S. et al. Tracking MET de-addiction in lung cancer: A road towards the oncogenic target. Cancer Treat. Rev. 60, 1–11 (2017). · DOI
  32. Kouri, F. M. et al. MiR-182 integrates apoptosis, growth, and differentiation programs in glioblastoma. Genes. Dev. 29, 732–745 (2015). · DOI
  33. Modali, S. D., Parekh, V. I., Kebebew, E. & Agarwal, S. K. Epigenetic Regulation of the lncRNA MEG3 and Its Target c-MET in Pancreatic Neuroendocrine Tumors. Mol. Endocrinology. 29, 224–237 (2015). · DOI
  34. Giannelli, G., Villa, E. & Lahn, M. Transforming growth factor-beta as a therapeutic target in hepatocellular carcinoma. Cancer Res. 74, 1890–1894 (2014). · DOI
  35. Rodon, J. et al. First-in-human dose study of the novel transforming growth factor-beta receptor I kinase inhibitor LY2157299 monohydrate in patients with advanced cancer and glioma. Clin. Cancer Res. 21, 553–560 (2015). · DOI
  36. Shan, T., Xu, Z., Wu, W., Liu, J. & Wang, Y. Roles of Notch1 Signaling in Regulating Satellite Cell Fates Choices and Postnatal Skeletal Myogenesis. J. Cell. Physiol. 232, 2964–2967 (2017). · DOI
  37. Shih, J. Y. & Yang, P. C. The EMT regulator slug and lung carcinogenesis. Carcinogenesis. 32, 1299–1304 (2011). · DOI

Cited by

Sorted by citations

See all 51

Metadata

Authors
Zhao, C., Guo, R., Guan, F., Ma, S., Li, M., Wu, J., Liu, X., Li, H., & Yang, B.
Venue
Scientific Reports
Published
2020-06-11
Volume
10
Issue
1
ISSN
2045-2322
Cited by
51
References
2
Language
en

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review