Importance of DNA nanotechnology for DNA methyltransferases in biosensing assays.

DNA methylation is the process by which specific bases on a DNA sequence acquire methyl groups under the catalytic action of DNA methyltransferases (DNMT). Abnormal changes in the function of DNMT are important markers for cancers and other diseases; therefore, the detection of DNMT and the selection of its inhibitors are critical to biomedical research and clinical practice. DNA molecules can undergo intermolecular assembly to produce functional aggregates because of their inherently stable physical and chemical properties and unique structures. Conventional DNMT detection methods are cumbersome and complicated processes; therefore, it is necessary to develop biosensing technology based on the assembly of DNA nanostructures to achieve rapid analysis, simple operation, and high sensitivity. The design of the relevant program has been employed in life science, anticancer drug screening, and clinical diagnostics. In this review, we explore how DNA assembly, including 2D techniques like hybridization chain reaction (HCR), rolling circle amplification (RCA), catalytic hairpin assembly (CHA), and exponential isothermal amplified strand displacement reaction (EXPAR), as well as 3D structures such as DNA tetrahedra, G-quadruplexes, DNA hydrogels, and DNA origami, enhances DNMT detection. We highlight the benefits of these DNA nanostructure-based biosensing technologies for clinical use and critically examine the challenges of standardizing these methods. We aim to provide reference values for the application of these techniques in DNMT analysis and early cancer diagnosis and treatment, and to alert researchers to challenges in clinical application.

Diagnostic Accuracy of Immunohistochemistry in Detecting MGMT Methylation Status in Patients with Glioma.

BACKGROUND: The O6-methylguanine-DNA methyltransferase (MGMT) gene prevents mismatch in DNA replication and transcription by repairing mutagenic DNA lesions. MGMT is a predictor biomarker of chemotherapy in high-grade and low-grade gliomas based on high-risk clinical conditions. It also can be used for therapeutic decisions to predict hypermutation in recurrence in newly diagnosed low-grade gliomas. The gold standard  examination for the methylation is Polymerase Chain Reaction (PCR). However, this technique is not widely available in Indonesia for daily practice. Thus, an uncomplicated and simpler method such as immunohistochemistry (IHC) is needed as an alternative examination. This study aimed to predict the diagnostic accuracy of immunohistochemistry (IHC) in detecting the methylation status of O6-methylguanine-DNA methyltransferase (MGMT) in glioma. METHODS: This research was a cross-sectional study using formalin-fixed paraffin embedded (FFPE) tissue samples of glioma patients, dating between October 2017 until March 2021. Diagnosis of glioma was established based on clinical, radiological, and histopathological findings. MGMT methylation status was investigated using the IHC and PCR techniques. Diagnostic value of IHC was analyzed, with PCR as a gold standard method. Optimum threshold to determine positivity of IHC was determined by the Area Under the Curve (AUC) on Receiver Operating Characteristics (ROC) curve and Youden index. RESULTS: Among 75 samples examined, 29 (38.7%) patients were methylated. IHC detected MGMT methylation with sensitivity of 86.2%, specificity of 63.0%, positive predictive value of 59.5%, negative predictive value of 87.9% and accuracy of 72.0%. The AUC was 0.746, indicating moderate diagnostic value. Optimum positivity threshold of the IHC examination based on Youden Index was 10%. CONCLUSION: IHC examination can be used to detect MGMT methylation status of glioma patients in limited resources setting, where PCR technique is not available.

Usefulness of an immunohistochemical score in advanced pancreatic neuroendocrine tumors treated with CAPTEM or everolimus.

BACKGROUND: Pancreatic neuroendocrine tumors are rare neoplasms for which few predictive and/or prognostic biomarkers have been validated. Our previous work suggested the potential of the combined expression of N-myc downstream-regulated gen-1 (NDRG-1), O6-methylguanine DNA methyltransferase (MGMT) and Pleckstrin homology-like domain family A member 3 (PHLDA-3) as prognostic factors for relapse and survival. METHODS: In this new multicenter study we evaluated immunohistochemistry expression in 76 patients with advanced PanNET who were treated with capecitabine-temozolomide or everolimus. Based on the immunohistochemistry panel, an immunohistochemistry prognostic score (IPS) was developed. RESULTS: In patients treated with capecitabine and temozolomide, low IPS was an independent prognostic factor for progression-free-survival and overall-survival. Similar findings were observed with highest IPS for overall-survival in patients treated with everolimus. CONCLUSION: From our knowledge, it is the first time that a simple IPS could be useful to predict outcome for patients with metastatic pancreatic neuroendocrine tumors treated with everolimus or capecitabine and temozolomide.

Combination of levetiracetam and IFN-α increased temozolomide efficacy in MGMT-positive glioma.

PURPOSE: Glioma, especially glioblastoma (GBM), is the most aggressive malignant brain tumor and its standard therapy is often ineffective because of temozolomide (TMZ) resistance. Reversal of the TMZ resistance might improve the prognosis of glioma patients. We previously found that interferon-α (IFN-α) and anti-epileptic drug levetiracetam (LEV) could sensitize glioma to TMZ, respectively. In this study, we further investigated the efficiency of combining of LEV and IFN-α for improving the efficacy of TMZ. METHODS: We evaluated whether LEV and IFN-α could increase TMZ efficacy using colony formation assay and cell viability assay with MGMT-positive and MGMT-negative glioma cell lines in vitro. Subcutaneous xenografts and orthotopic xenografts mice models were used in vivo to observe the tumor growth and mice survival upon treatments with TMZ, TMZ + IFN-α, TMZ + LEV, or TMZ + LEV + IFN-α. The expression levels of MGMT, markers of pro-apoptotic and anti-apoptotic in tumor samples were analyzed by Western blotting. RESULTS: The combinational use of IFN-α, LEV, and TMZ showed the best anti-tumor activity in MGMT-positive cell lines (U138, GSC-1, U118, and T98 G). TMZ + LEV + IFN-α further obviously increased TMZ + LEV or TMZ + IFN-α efficiency in MGMT-positive cell lines, while not in negative cell lines (SKMG-4, U87, U373, and U251) in vitro, which were also observed in subcutaneous mice models (U138, GSC-1 compared to SKMG-4, U87) and orthotopic models (GSC-1) in vivo. Strikingly, the combination of LEV and IFN-α together with TMZ significantly prolonged the survival of mice with orthotopic GSC-1 glioma. Furthermore, we confirmed that the combination of LEV and IFN-α enhanced the inhibition of MGMT and the activation of apoptosis in U138 tumor on the basis of TMZ treatment. CONCLUSIONS: The combination use of LEV and IFN-α could be an optimal method to overcome TMZ resistance through obvious MGMT inhibition in MGMT-positive glioma.

A dumbbell probe-based dual signal amplification strategy for sensitive detection of multiple DNA methyltransferases.

We demonstrate for the first time the integration of a dumbbell probe with dual signal amplification for the simultaneous detection of multiple DNA methyltransferases (MTases). This method is very sensitive with a detection limit of 2.15 × 10-5 U mL-1 for DNA adenine methyltransferase (Dam) and 3.23 × 10-6 U mL-1 for CpG Methyltransferase (M.SssI), and it can be used to screen the enzyme inhibitors and simultaneously measure Dam and M.SssI in complex biological samples.

Nanomaterial-based biosensors for DNA methyltransferase assay.

DNA methyltransferases are responsible for catalyzing the methylation of adenine/cytosine residues in specific regions of the genome, and they participate in the establishment of epigenetic modification patterns. Deregulation of DNA methyltransferase activity will disturb DNA methylation systems, leading to the occurrence of various human diseases including cancers. Moreover, DNA methyltransferases may serve as promising therapeutic targets, and DNA methyltransferase inhibitors have been used for disease treatment. Therefore, the detection of DNA methyltransferases and screening of their inhibitors are crucial for both fundamental biomedical research studies and clinical practice. Due to their excellent size-dependent optical, chemical, electronic, and mechanical features, nanomaterials have been widely used as powerful building materials to construct efficient biosensors for DNA methyltransferase assay with high sensitivity and good selectivity. In this review, we summarize the recent progress in the development of nanomaterial-based biosensors for DNA methyltransferase assay including the strategies, features and applications, and highlight the future direction and challenges in this area as well.

Detection of DNA methyltransferase activity using template-free DNA polymerization amplification based on aggregation-induced emission.

A sensitive and selective fluorescence assay for DNA methyltransferase (MTase) activity detection was designed based on aggregation-induced emission (AIE) and target initiated template-free DNA polymerization. Quaternized tetraphenylethene salt was synthesized as the AIE probe, which binds to single-stranded DNA by electrostatic interaction. A hairpin probe was designed with a specific sequence for DNA MTase. In the presence of DNA MTase, the methylation reaction initiated DNA polymerization with terminal deoxynucleotidyl transferase (TdT), which activated the fluorescence intensity through AIE. The designed DNA sensor displayed a linear response to concentrations of DNA adenine methyltransferase (Dam) MTase from 0.5 U·mL-1 to 100 U mL-1, with a limit of detection of 0.16 U mL-1. The assay was also effective for detection of DNA MTase activity in human serum and for showing the inhibitory effect of 5-fluorouracil on Dam MTase.

Combined analysis of MGMT methylation and dynamic-susceptibility-contrast MRI for the distinction between early and pseudo-progression in glioblastoma patients.

INTRODUCTION: Currently, no single diagnostic modality allows the distinction between early progression (EP) and pseudo-progression (Psp) in glioblastoma patients. Herein we aimed to identify the characteristics associated with EP and Psp, and to analyze their diagnostic value alone and in combination. MATERIAL AND METHODS: We reviewed the clinical, conventional magnetic resonance imaging (MRI), and molecular characteristics (MGMT promoter methylation, IDH mutation, and EGFR amplification) of glioblastoma patients who presented an EP (n=59) or a Psp (n=24) within six months after temozolomide radiochemotherapy. We analyzed relative cerebral blood volume (rCBV) and relative vessel permeability on K2 maps (rK2) in a subset of 33 patients using dynamic-susceptibility-contrast MRI. RESULTS: In univariate analysis, EP was associated with neurological deterioration, higher doses of dexamethasone, appearance of a new enhanced lesion, subependymal enhancement, higher rCBV and rK2 values. Psp occurred earlier after radiotherapy completion and was associated with IDH1 R132H mutation, and MGMT methylation. In multivariate analysis, rCBV, rK2, and MGMT methylation status were independently associated with EP and Psp. All patients with a methylated MGMT promoter and a low rCBV (<1.75) were classified as Psp while all patients with an unmethylated MGMT promoter and a high rCBV (≥1.75) were classified as EP. Among patients with discordant MGMT methylation and rCBV characteristics, higher rK2 values tended to be associated with EP. CONCLUSION: Combined analysis of MGMT methylation, rCBV and vessel permeability on K2 maps seems helpful to distinguish EP from Psp. A prospective study is warranted to confirm these results.

Prognostic significance of MGMT methylation and expression of MGMT, P53, EGFR, MDM2 and PTEN in glioblastoma multiforme.

The study investigated the pattern of MGMT promoter methylation and the expression of MGMT, P53, EGFR, MDM2 and PTEN proteins in glioblastomas multiforme (GBM) and evaluated their prognostic significance. We carried out a retrospective study of 80 GBM. Expression of MGMT as well as of P53, EGFR, MDM2 and PTEN was investigated by immunohistochemistry. MGMT promoter methylation was investigated by methylation specific-PCR of bisulfite-treated DNA. Twenty-five GBM exhibited MGMT expression. Methylation of MGMT promoter was detected in 35.1% of cases. No significant concordance was reported between MGMT promoter methylation and protein expression (κ=-0.047, p=0.11). MGMT promoter methylation was significantly associated only with PTEN expression (p=0.001): no other significant association was identified with clinical parameters as well as with expression of P53, EGFR and MDM2 (p >0.05). Tumor recurrence was significantly associated with unmethylated MGMT promoter (p=0.01) but not with MGMT expression (p=0.51). Recurrence-free survival (RFS) was significantly better among patients with methylated MGMT promoter (log rank, p <0.0001) and PTEN expression (log rank, p=0.025) but not with MGMT expression (log rank, p=0.308). As well, using univariate analysis, MGMT promoter methylation (p=0.001) and PTEN expression (p=0.044) were significantly associated with RFS. In multivariate analysis, only MGMT promoter methylation was significantly associated with RFS (p=0.003). Together, our findings support that MGMT protein expression doesn't reflect the MGMT promoter methylation status. Furthermore, MGMT promoter methylation remains a useful prognostic marker in Tunisian patients with GBM. PTEN expression could be a potential prognostic marker of this tumor.

Electrochemical determination of the activity of DNA methyltransferase based on the methyl binding domain protein and a customized modular detector.

An electrochemical method is described for the determination of the activity of the DNA methyltransferase (MTase). The assay was based on the use of a commercially available customized electromagnetic modular detector, which consisted of a magnetic switch, electrical connectors and a screen-printed electrode modified with graphene oxide. The biotinylated single-strand DNA (ss-DNA) S1 was absorbed by streptavidin-modified magnetic beads (MBs) via streptavidin-biotin interaction. The biotinylated ss-DNA S1 was hybridized with the complementary ss-DNA S2. After the symmetrical sequences 5'-CCGG-3' of the duplex DNA (ds-DNA) were methylated by M. SssI CpG methyltransferase (M. SssI MTase), the symmetrical sequences 5'-CCGG-3' in the ds-DNA were recognized by glutathione S-transferase (GST) tagged methyl CpG binding protein 2 (MeCP2). The unmethylated 5'-CCGG-3' sequences were specifically cleaved by HpaII restriction endonuclease. After magnetic separation and washing, HRP-labeled GST tag monoclonal antibody and H2O2 were used as a tracer label and enzyme substrate, respectively. Electrochemical measurement was carried out at pH 7.4 in the presence of 50 µM thionine and 0.5 mM H2O2. Stepwise changes in the microscopic features of the SPE surface upon the formation of each layer were studied by scanning electron microscopy. Cyclic voltammetry and differential pulse voltammetry were used to characterize the electrochemical behavior of the different modified electrodes. Under the optimal conditions, the activity of M. SssI MTase can be determined in the activity range of 0.5-125 unit·mL-1 with a detection limit of 0.2 unit·mL-1 (at an S/N ratio of 3). The sensitivity of the immunoassay is 0.489 µA·µM-1·cm-2. Graphical abstract Schematic presentation of the electrochemical immunosensor for the determination of the activity of M. SssI CpG methyltransferase (M. SssI MTase). It is based on an electromagnetic modular detector and the use of glutathione S-transferase tagged methyl CpG binding protein 2 (GST-MeCP2).

Perfusion MRI grading diffuse gliomas: Impact of permeability parameters on molecular biomarkers and survival.

BACKGROUND AND PURPOSE: Our objectives were: (1) compare dynamic susceptibility-weighted (DSC) and dynamic contrast-enhanced (DCE) permeability parameters, (2) evaluate diagnostic accuracy of DSC and DCE discriminating high- and low-grade tumors, (3) analyze relationship of permeability parameters with overall (OS) and progression-free survival (PFS) and (4) assess differences in high-grade tumors classified according to molecular biomarkers. MATERIALS AND METHODS: 49 patients with histologically proved diffuse gliomas underwent DSC and DCE imaging. Parametric maps of cerebral blood volume (CBV), CBV-leakage corrected, volume transfer coefficient (Ktrans), fractional volume of the extravascular extracellular space (EES) (Ve), fractional blood plasma volume (Vp) and rate constant between EES and blood plasma (Kep) were calculated. High-grade gliomas were also classified according to isocitrate dehydrogenase (IDH), alpha-thalassemia/mental retardation syndrome X-linked (ATRX) and O6-methylguanine-dna-methyltransferase promoter methylation (MGMT) status. RESULTS: There is correlation between parameters leakage, Ktrans and Vp. ROC curve analysis showed significance in both Ktrans and Ve for glioma grading. Threshold value of 0.075 for Ve generated the best combination of sensitivity (80%) and specificity (75%) in tumor gradation. Leakage was the only permeability parameter related to OS (P=0.006) and PFS (0.012); with prolonged survival for leakage values lower than 1.2. IDH-mutated high-grade tumors showed lower leakage and Ktrans values. High-grade tumors with loss of ATRX presented lower leakage and Vp values. CONCLUSIONS: Both DSC and DCE permeability parameters serve as non-invasive method for glioma grading. Leakage was the unique permeability parameter related to survival and the best discriminating high-grade gliomas classified according to IDH and ATRX status.

MGMT: Immunohistochemical Detection in High-Grade Astrocytomas.

Glioma therapeutic resistance to alkylating chemotherapy is mediated via O6-methylguanine-DNA methyltransferase (MGMT). We hypothesized that a CD45/HAM56/MGMT double-stained cocktail would improve MGMT discrimination in tumor cells versus inflammatory and endothelial cells (IEC). Total MGMT protein was quantified by IHC on 982 glioblastomas (GBM) and 199 anaplastic astrocytomas. Correcting for IEC was done by a CD45/HAM56/MGMT 2-color cocktail. Lowest IEC infiltrates (IEC "cold spots") were identified to quantitate MGMT as well as the percentage of IEC% in the IEC cold spots. MGMT promoter methylation (PM) was also determined. Among the GBM biopsies, mean uncorrected and corrected MGMT% were 19.87 (range 0-90) and 16.67; mean IEC% was 18.65 (range 1-80). Four hundred and fifty one (45.9%) GBM biopsies were positive MGMT PM. Both uncorrected and corrected MGMT% positivity correlated with PM. All 3 MGMT scores correlated with overall survival (OS) in GBM's. Cold spot IEC% was also positively associated with OS. These effects remained in a multivariate model after adjusting for age and disease status. Prognosis determined by correcting MGMT% score for IEC% is not improved in this analysis. However, IEC COLD SPOT score does provide additional prognostic information that can be gained from this correction method.

Fluorescent copper nanoclusters as a nano-dye for DNA methyltransferase activity analysis and inhibitor screening.

Fluorescent copper nanoslusters (CuNCs) as a new class of fluorophores have attracted more and more attention due to their ease of synthesis, excellent optical properties, and low cost. In this study, a novel label-free fluorescent method was developed for the detection of DNA methyltransferases based on template length-dependent of dsDNA-CuNCs. In the absence of DNA adenine methylation methyltransferase (Dam MTase), the dsDNA containing the methylation-responsive sequence could effectively template the formation of fluorescent CuNCs with bright fluorescence. When the dsDNA substrate is methylated by Dam MTase, the methylation-sensitive restriction endonuclease Dpn I cleaves the methylated dsDNA and produces shorter dsDNA product, which fails to template fluorescent CuNCs. So, the Dam MTase activity could be identified by the changes of CuNCs' fluorescence. Based on this method, a linear range of 0.5-10 U/mL was achieved with high sensitivity and selectivity. Moreover, we also demonstrate the proposed method can be applied to evaluation and screening of inhibitors for Dam MTase.

The Treatment of Gliomas in Adulthood.

BACKGROUND: Gliomas are the most common intrinsic tumors of the brain, with an incidence of 6 per 100 000 persons per year. Recent years have seen marked changes in the diagnosis and treatment of gliomas, with molecular parameters now being an integral part of the diagnostic evaluation. METHODS: This review is based on pertinent articles retrieved by a selective search in PubMed, with special attention to the new WHO glioma classification. RESULTS: The classification of gliomas on the basis of additional molecular parameters enables more accurate prognostication and serves as a basis for therapeutic decision-making and treatment according to precisely specified algorithms. PET scanning with 18F-fluoroethyl tyrosine and 11C-methionine for the measurement of metabolic activity in gliomas has further refined the diagnostic evaluation. The median overall survival of patients with glioblastoma who have undergone resection of all tumor tissue with a disrupted blood-brain barrier (i.e., all contrast-enhancing tumor tissue) has been prolonged to up to 20 months. The 5-year survival of patients with WHO grade II gliomas is now as high as 97% after near-total resection. The surgical resection of all contrast-enhancing tumor tissue and subsequent radiotherapy and chemotherapy remain the key elements of treatment. New surgical strategies and new methods of planning radiotherapy have made these techniques safer and more effective. The percutaneous application of tumor-treating fields is a new therapeutic option that has gained a degree of acceptance. Accompanying measures such as psycho-oncology and palliative care are very important for patients and should be considered mandatory. CONCLUSION: The consistent application of the existing multimodal treatment options for glioma has led in recent years to improved survival. Areas of important current and future scientific activity include immunotherapy and targeted and combined chemotherapy, as well as altered neurocognition, modern approaches to palliative care, and complementary therapies.

[Analysis of prognostic factors for survival in elderly patients with glioma].

OBJECTIVE: To analyze the prognostic factors for survival in elderly patients with glioma.
 Methods: We performed a retrospective analysis of prognostic factors for elderly patients with glioma, who were treated by the same attending doctor during June 2014 and June 2016, to investigate the correlations of the age, dimension of pathology, histological grade, extent of resection, adjuvant therapy, preoperative Karnofsky Performance Scale (KPS) score, postoperative KPS score, molecular markers [isocitrate dehydrogenase-1 (IDH-1), O6-methylguanine DNA-transferase (MGMT), epidermal growth factor receptor (EGFR), Ki-67] with the prognosis.
 Results: A total of 45 patients were included in the study. The median overall survival (OS) was 11 months. The median progression-free survival (PFS) was 6 months. Univariate analysis revealed that the age, gender, dimension of pathology, histological grade and preoperative KPS score had no significant correlation with survival (P>0.05). The gross total resection, higher postoperative KPS score, adjuvant therapy, lower Ki-67 index were significantly correlated with survival. The expressions of MGMT and EGFR were significant factors for survival. High postoperative KPS score (P=0.019), adjuvant therapy (P=0.024), and the expression of MGMT (P=0.026) were independent predictors for increased median OS in a multivariate regression model.
 Conclusion: The extent of resection, adjuvant therapy, postoperative KPS score and molecular markers are the influential factors for survival. Larger prospective studies are needed to confirm these findings.

Proteins of the retinoblastoma pathway, FEN1 and MGMT are novel potential prognostic biomarkers in pancreatic adenocarcinoma.

BACKGROUND: We studied the expression of some major proteins involved in cell-cycle regulation and DNA repair, the roles of which are not well known in pancreatic ductal adenocarcinoma (PDAC), but which have a significant impact on carcinogenesis of many other cancers. METHODS: We immunohistochemically assessed expression levels of the cell-cycle regulators Rb1, p16 and cyclin-dependent kinase 4 (CDK4), and the DNA repair enzymes O6-methylguanine-DNA-alkyltransferase (MGMT) and flap endonuclease-1 (FEN1) separately in malignant tissue and benign tissue from resection margins in 102 cases of PDAC. Nearly all (95.1%) patients had undergone pancreaticoduodenectomy. RESULTS: The studied proteins showed wide but somewhat variable expression in both benign and malignant pancreatic tissues. Strong CDK4 expression in islets of Langerhans predicted poor relapse-free survival (RFS) (HR 2.874; 95% CI 1.261-6.550; p = .012) and within T3-4 tumors CDK4 expression in adenocarcinoma cells also predicted poor disease-free survival (DFS) (RR 2.148; 95% CI 1.081-4.272; p = .029). Strong MGMT expression was associated in N1 patients with weak local relapse-free survival (RFS), DFS and overall survival; all significantly in Cox regression analysis. FEN1 was also an independent predictor of decreased DFS (in the whole study population) and worse RFS (in the patients with T3-4 tumors). CONCLUSIONS: Major cell-cycle regulator also have predictive significance, but further studies are required to evaluate this.

O6-Methylguanine DNA Methyltransferase Status Does Not Predict Response or Resistance to Alkylating Agents in Well-Differentiated Pancreatic Neuroendocrine Tumors.

OBJECTIVES: Alkylating agents have activity in well-differentiated pancreatic neuroendocrine tumors (WD panNETs). In glioblastoma multiforme, decreased activity of O-methylguanine DNA methyltransferase (MGMT) predicts response; in panNETs, MGMT relevance is unknown. METHODS: We identified patients with WD panNETs treated with alkylating agents, determined best overall response by Response Evaluation Criteria In Solid Tumors (RECIST) 1.1, and performed MGMT activity testing. RESULTS: Fifty-six patients were identified; 26 (46%) of the 56 patients experienced partial response, 24 (43%) of 56 experienced stable disease, and 6 (11%) of 56 experienced progression of disease. O-methylguanine DNA methyltransferase status was available for 36 tumors. For tumors with partial response, 10 (67%) of 15 were MGMT deficient, and 5 (33%) of 15 were MGMT intact. For tumors with stable disease, 7 (47%) of 15 were MGMT deficient, and 8 (53%) of 15 were MGMT intact. For tumors with progression of disease, 3 (50%) of 6 were MGMT deficient, and 3 (50%) of 6 were MGMT intact. CONCLUSIONS: We observed response and resistance to alkylating agents in MGMT-deficient and MGMT-intact tumors. O-methylguanine DNA methyltransferase status should not guide alkylating agent therapy in WD panNETs.

Short article: Evaluation of O6-methylguanine-DNA methyltransferase as a predicting factor of response to temozolomide-based chemotherapy in well-differentiated metastatic pancreatic neuroendocrine tumors.

OBJECTIVE: Temozolomide (TMZ) is an alkylating agent frequently used in well-differentiated metastatic pancreatic neuroendocrine tumors (PNETs) with very variable responses. O-methylguanine-DNA methyltransferase (MGMT) is a DNA repair enzyme whose loss of expression has been suggested to be predictive of response to TMZ in various human tumors. We evaluated the predictive value of MGMT status, assessed by immunohistochemistry (IHC) and methylation-specific PCR (MS-PCR), in well-differentiated metastatic PNETs treated by a TMZ-based chemotherapy. PATIENTS AND METHODS: All patients with metastatic PNETs treated with TMZ-based chemotherapy between 2010 and 2016 in two academic centers, for whom the tumor samples were available, were included. Clinical data were collected and the MGMT status of the tumors was analyzed using MS-PCR and IHC. RESULTS: Twenty-two patients (nine men, median age 61 years) were included. The loss of MGMT protein expression detected by IHC was observed in 13 (59%) patients and MGMT promoter hypermethylation was detected by MS-PCR in three (15%) out of 20 interpretable cases. MGMT status did not correlate significantly with the best radiological response according to the Response Evaluation Criteria In Solid Tumors criteria or with progression-free survival. There was no correlation between MGMT protein expression and MGMT gene promoter methylation. CONCLUSION: These results indicate that a deficient MGMT status in PNETs, determined by loss of protein expression in IHC or by the presence of MGMT gene promoter methylation measured by MS-PCR, is not associated with a better response to TMZ-based chemotherapy and cannot be used as a predictive marker to lead treatment decisions.

Sensitive detection of DNA methyltransferase using the dendritic rolling circle amplification-induced fluorescence.

The analysis of DNA methylation and MTase activities is very important in the early clinical diagnosis of cancer, on purposes of providing insights into the mechanism of gene repression and developing novel drugs of treating methylation-related diseases. Combining the dendritic rolling circle amplification and Mg2+-dependent DNAzyme with a function of catalyzing the generation of a fluorophore-labeled nucleic acid acting as readout signal for the analyses, a new fluorescent method for DNA methyltransferase detection was reported. In the presence of DNA methyltransferases (MTase), the methylation-responsive sequence of double-stranded DNA probe was methylated and then cleaved by the methylation-sensitive restriction endonuclease DpnI. The cleaved hybrid DNA probe then functioned as a signal primer to initiate the dendritic rolling circle amplification reaction, containing a circular DNA and a structurally tailored hairpin structure. Subsequently, the circular nucleic acid template produced a complementary sequence to the Mg2+-dependent DNAzyme and a sequence identical to the loop region of the co-added hairpin structure. At last, a fluorescence readout signal was afforded by the DNAzyme-catalyzed cleavage of a fluorophore/quencher-modified substrate. This method enabled the analysis of the target MTase with a detection limit up to 0.36 U mL-1, and a dynamic range was obtained from 1.0 to 10 U mL-1. Moreover, the proposed strategy was successfully applied in real sample assay. With this assay, the inhibitors of MTase were evaluated and screened which might be helpful for the discovery of anticancer drugs.

Multi-label Inductive Matrix Completion for Joint MGMT and IDH1 Status Prediction for Glioma Patients.

MGMT promoter methylation and IDH1 mutation in high-grade gliomas (HGG) have proven to be the two important molecular indicators associated with better prognosis. Traditionally, the statuses of MGMT and IDH1 are obtained via surgical biopsy, which is laborious, invasive and time-consuming. Accurate presurgical prediction of their statuses based on preoperative imaging data is of great clinical value towards better treatment plan. In this paper, we propose a novel Multi-label Inductive Matrix Completion (MIMC) model, highlighted by the online inductive learning strategy, to jointly predict both MGMT and IDH1 statuses. Our MIMC model not only uses the training subjects with possibly missing MGMT/IDH1 labels, but also leverages the unlabeled testing subjects as a supplement to the limited training dataset. More importantly, we learn inductive labels, instead of directly using transductive labels, as the prediction results for the testing subjects, to alleviate the overfitting issue in small-sample-size studies. Furthermore, we design an optimization algorithm with guaranteed convergence based on the block coordinate descent method to solve the multivariate non-smooth MIMC model. Finally, by using a precious single-center multi-modality presurgical brain imaging and genetic dataset of primary HGG, we demonstrate that our method can produce accurate prediction results, outperforming the previous widely-used single- or multi-task machine learning methods. This study shows the promise of utilizing imaging-derived brain connectome phenotypes for prognosis of HGG in a non-invasive manner.