Data from: EGFR inhibition downregulates MGMT through regulation of miRNA 616 and activation of AP-1 and enhances responsiveness to temozolomide in glioblastoma
Data files
Jul 08, 2026 version files 73.36 KB
-
data_file_S1.xlsx
60.91 KB
-
README.md
12.45 KB
Abstract
Glioblastoma (GBM) is a devastating cancer with a dismal prognosis. The standard of care includes treatment with temozolomide (TMZ), a drug that is more effective in approximately 50% of GBMs that have MGMT promoter methylation. MGMT is a DNA repair protein that reverses TMZ-induced DNA damage, and increased MGMT expression in tumor cells is a key determinant of treatment failure. EGFR is a prime oncogene in GBM. Here, we report that EGFR inhibition induces a downregulation of MGMT in GBM cells, revealing a new link between EGFR signaling and the chemotherapeutic response to TMZ. The EGFR TKI-induced downregulation of MGMT results from a complex interplay in which EGFR inhibition leads to activation of two transcription factors, AP-1, which represses MGMT transcription, and NF-kappaB, which upregulates MGMT transcription. EGFR inhibition also induces an AP-1-mediated transcription of miR-616. miR-616 inhibits both MGMT translation and NF-kappaB activation. Thus, the overall effect of EGFR inhibition is downregulation of MGMT expression. If the MGMT inhibitory module comprising AP-1 and miR-616 is blocked, EGFR TKIs now upregulate MGMT via an unopposed activation of NF-kappaB. Additionally, we provide an explanation for the prior failure of clinical trials that have used concomitant EGFR TKIs plus TMZ. TMZ upregulates MGMT, and concomitant treatment with EGFR TKIs plus TMZ fails to downregulate MGMT. However, pretreatment with EGFR TKIs followed by TMZ efficiently downregulates MGMT and enhances their sensitivity to TMZ in experimental models. Importantly, we used post-treatment tumor tissue from two clinical trials to validate these findings. We demonstrate an EGFR inhibitor-induced downregulation of MGMT in post-treatment resected tumor tissue from GBM patients, and also demonstrate a failure of EGFR inhibition to downregulate MGMT if TMZ was used concomitantly. We propose using EGFR TKIs prior to administration of TMZ as a therapeutic approach in MGMT unmethylated GBMs, both in a neo-adjuvant and/or a recurrent setting.
Dataset DOI: 10.5061/dryad.905qfttx0
Description of the data and file structure
This file: data_file_S1.xlsx provides the source numerical data supporting the analyses, including quantification of immunoblotting, qPCR, immunostaining, luciferase assays, cell viability assays, ChIP qPCR, TaqMan assays, mouse tumor volume, and mouse survival studies. Each tab corresponds to a specific figure, with individual panel datasets from that figure listed separately within the tab.
For a full description of the experimental procedures and characterization methods, please refer to the Supplementary Materials PDF provided on the Science Translational Medicine website.
Files and variables
Panel datasets for Fig. 1B, D, F, and H.
Description: The datasets contain numerical data underlying immunoblotting quantification.
Variables:
· Sample/condition: cells treated with vehicle, erlotinib, or afatinib.
· Protein expression: band intensities normalized to an internal control (β-Actin or EGFR).
Panel datasets for Fig. 1I and J.
Description: The datasets contain numerical data underlying qPCR analysis of MGMT gene expression.
Variables:
· Sample/condition: cells treated with vehicle or afatinib.
· Relative expression: fold change in MGMT expression normalized to control (GAPDH).
Panel datasets for Fig. 1L, N, and P.
Description: The datasets contain numerical data underlying immunostaining quantification.
Variables:
· Sample/condition: tumor tissues from mice treated with vehicle or afatinib.
· Percentage MGMT positive cells or pEGFR positive areas: quantified immunostaining signal.
Panel dataset for Fig. 1S.
Description: The datasets contain numerical data underlying immunoblotting quantification.
Variables:
· Sample/condition: tumor lysates from mice treated with vehicle or afatinib.
· Protein expression: band intensities normalized to an internal control (β-Actin or EGFR).
Panel dataset for Fig. 2B.
Description: The dataset contains numerical data underlying luciferase activity measurements.
Variables:
· Sample/condition: cells treated with vehicle or afatinib.
· Relative luciferase activity: normalized AP-1 reporter activity.
Panel datasets for Fig. 2D, F, G, H, and L.
Description: The datasets contain numerical data underlying immunoblotting quantification.
Variables:
· Sample/condition: cells treated under conditions as specified in each panel dataset.
· Protein expression: band intensities normalized to an internal control (β-Actin).
Panel datasets for Fig. 2I and J.
Description: The dataset contains numerical data underlying luciferase activity measurements.
Variables:
· Sample/condition: cells treated with afatinib at 0, 2, 6, and 24 hours.
· Relative luciferase activity: normalized NF-kB reporter activity.
Panel datasets for Fig. 3A to E.
Description: The datasets contain numerical data underlying ChIP-qPCR analysis.
Variables:
· Sample/condition: cells treated under conditions as specified in each panel dataset.
· Enrichment percentage: Relative enrichment of c-Jun, c-Fos, or p65 at the promoter region of MGMT, expressed as a percentage of input.
Panel dataset for Fig. 4C and H.
Description: The datasets contain numerical data underlying immunoblotting quantification.
Variables:
· Sample/condition: cells treated with vehicle or afatinib.
· MGMT protein expression: band intensities normalized to an internal control (β-Actin).
Panel datasets for Fig. 4D and E.
Description: The datasets contain numerical data underlying the TaqMan assay of miR-616.
Variables:
· Sample/condition: cells treated with vehicle or afatinib.
· Relative expression: fold change in miR-616 expression normalized to control (miR-423-5p).
Panel datasets for Fig. 4F and G.
Description: The datasets contain numerical data underlying qPCR analysis of MGMT gene expression.
Variables:
· Sample/condition: cells treated under conditions as specified in each panel dataset.
· Relative expression: fold change in MGMT expression normalized to control (GAPDH).
Panel datasets for Fig. 4J and K.
Description: The dataset contains numerical data underlying luciferase activity measurements.
Variables:
· Sample/condition: cells transfected with ctrl or miR-616 mimic or treated with vehicle or afatinib.
· Relative luciferase activity: normalized 3-UTR MGMT wildtype (WT) or mutant (MT) reporter activity.
Panel datasets for Fig. 5A, D, and E.
Description: The datasets contain numerical data underlying the TaqMan assay of miR-616.
Variables:
· Sample/condition: cells treated under conditions as specified in each panel dataset.
· Relative expression: fold change in miR-616 expression normalized to control (miR-423-5p).
Panel datasets for Fig. 5C, G, H, Q, and S.
Description: The datasets contain numerical data underlying immunoblotting quantification.
Variables:
· Sample/condition: cells transfected under conditions as specified in each panel dataset.
· Protein expression: band intensities normalized to an internal control (β-Actin). C and H for c-Jun and c-Fos protein expression; G for MGMT protein expression; Q for p65 protein expression; S for MGMT, c-Jun, and c-Fos protein expression.
Panel datasets for Fig. 5J to K.
Description: The datasets contain numerical data underlying ChIP-qPCR analysis.
Variables:
· Sample/condition: cells treated with vehicle or afatinib.
· Enrichment percentage: Relative enrichment of c-Jun, c-Fos, or p65 at the promoter region of miR-616, expressed as a percentage of input.
Panel datasets for Fig. 5L to O.
Description: The dataset contains numerical data underlying luciferase activity measurements.
Variables:
· Sample/condition: cells treated under conditions as specified in each panel dataset.
· Relative luciferase activity: normalized NF-kB reporter activity.
Panel datasets for Fig. 6B, E, F, H, J, and L.
Description: The datasets contain numerical data underlying immunoblotting quantification.
Variables:
· Sample/condition: cells treated under conditions as specified in each panel dataset.
· MGMT protein expression: band intensities normalized to an internal control (β-Actin).
Panel datasets for Fig. 7B and I.
Description: This file contains numerical data underlying mouse survival analysis.
Variables:
· Time (days): Duration of observation.
· Survival status: Survival outcome for each mouse.
Panel datasets for Fig. 7D and K.
Description: The datasets contain numerical data underlying mouse tumor size.
· Sample/condition: mice treated under conditions as specified in each panel dataset (Non-pre: non-pretreatment. Pre: pretreatment).
· Tumor volume: Tumor size measured in cubic millimeters.
Panel datasets for Fig. 7F, H, M, and O.
Description: The datasets contain numerical data underlying immunostaining quantification.
Variables:
· Sample/condition: mice treated under conditions as specified in each panel dataset (Non-pre: non-pretreatment. Pre: pretreatment).
· Percentage MGMT positive cells (H and O) or pEGFR positive areas (F and M): quantified immunostaining signal.
Panel datasets for Fig. 8B and I.
Description: The datasets contain numerical data underlying immunostaining quantification.
Variables:
· Sample/condition: human specimens under the conditions specified in each panel dataset (Pre: pre-WSD-0922 treatment, Post: post-WSD-0922 treatment).
· Percentage MGMT positive cells: quantified immunostaining signal.
Panel datasets for Fig. 8D, F, and G.
Description: The datasets contain numerical data underlying immunoblotting quantification.
Variables:
· Sample/condition: cells treated under conditions as specified in each dataset panel.
· Protein expression: band intensities normalized to an internal control (β-Actin or EGFR). F and G for MGMT protein expression.
Panel datasets for fig. S1B, E, and H.
Description: The datasets contain numerical data underlying immunoblotting quantification.
Variables:
· Sample/condition: cells treated under conditions or different cell lines as specified in each panel dataset.
· Protein expression: band intensities normalized to an internal control (β-Actin or EGFR).
Panel datasets for fig. S1C and F.
Description: The datasets contain numerical data underlying qPCR analysis of MGMT gene expression.
Variables:
· Sample/condition: cells treated with vehicle or EGF.
· Relative expression: fold change in MGMT expression normalized to control (GAPDH).
Panel datasets for fig. S1I.
Description: The dataset contains numerical data used for survival analysis of patients with GBM.
Variables:
· Time (days): Duration of follow-up for each patient measured in days.
· Survival status: Survival outcome of each patient at the end of the observation period (alive or deceased).
Panel datasets for fig. S2A to D.
Description: The datasets contain numerical data underlying the TaqMan assay of indicated microRNAs.
Variables:
· Sample/condition: cells treated under conditions as specified in each panel dataset.
· Relative expression: fold change in miRNA expression normalized to control (miR-423-5p).
Panel datasets for fig. S2E.
Description: The dataset contains numerical data underlying qPCR analysis of MGMT gene expression.
Variables:
· Sample/condition: cells treated under conditions as specified in the panel dataset.
· Relative expression: fold change in MGMT expression normalized to control (GAPDH).
Panel datasets for fig. S3
Description: The datasets contain numerical data underlying the cell viability assay.
Variables:
· Sample/condition: cells treated under conditions as specified in each panel dataset.
· Percentage viability: relative cell viability calculated as a percentage, normalized to the vehicle control condition.
Panel datasets for fig. S4A and L.
Description: The datasets contain numerical data underlying mouse survival analysis.
Variables:
· Time (days): Duration of observation.
· Survival status: Survival outcome for each mouse.
Panel datasets for fig. S4C and N.
Description: The datasets contain numerical data underlying tumor size.
· Sample/condition: mice treated under conditions as specified in each panel dataset (Non-pre: non-pretreatment. Pre: pretreatment).
· Tumor volume: Tumor size measured in cubic millimeters.
Panel datasets for Fig. S4E, G, P, and R
Description: The datasets contain numerical data underlying immunostaining quantification.
Variables:
· Sample/condition: mice treated under conditions as specified in each panel dataset (Non-pre: non-pretreatment. Pre: pretreatment).
· Percentage MGMT positive cells (G and R) or pEGFR positive areas (E and P): quantified immunostaining signal.
Panel datasets for fig. S4I and K.
Description: The datasets contain numerical data underlying immunoblotting quantification.
Variables:
· Sample/condition: cells treated under conditions as specified in each panel dataset.
· Protein expression: band intensities normalized to an internal control (β-Actin). S4K for MGMT protein expression.
Human subjects data
We received explicit consent from your participants to publish the de-identified data in the public domain.
