<div style="text-align:justify;"> <span style="font-family:Verdana;"><strong>Background:</strong> Since there has been training, there has been discussion about the effect o...<div style="text-align:justify;"> <span style="font-family:Verdana;"><strong>Background:</strong> Since there has been training, there has been discussion about the effect of training. But training evaluation is not systematic until Kirkpatrick came up with the training evaluation model in 1959. At present, the prevailing model in the systematic summary of training evaluation is still The Kirkpatrick’s model. This model was further improved in 1994, more responsive to contemporary needs, and thus widely used all over the world. At the beginning, it was widely used in human resource management of enterprises. In recent years, this model has been gradually used in the medical field to evaluate the effect of medical training. The Kirkpatrick’s model has a systematic, integrated and persuasive evaluation system for trainees. It has good effects in the pre-service nurse training, the professional image and code of conduct nurses training, and the geriatric nurse training. At present, there are few studies on the chemotherapeutic drug training of neurologist nurses in China. In clinical work, nurses’ cognitive and practical behaviors of chemotherapeutic drug protection and drug extravasation prevention and treatment are insufficient. It directly harms the health of nursing staff and increases the complications of chemotherapy, increases pain of tumor patients, delays or interrupts chemotherapy, and aggravates the economic burden of patients. Especially, Chemotherapeutic drugs for neuro-oncology have particularity and necessity of urgent training. <strong>Objective:</strong> To investigate the effect of chemotherapeutic drug training through mobile terminal for neuro-oncology nurses based on the Kirkpatrick’s model. <strong>Methods: </strong>The training content and evaluation questionnaire for chemotherapeutic drugs were designed by nursing management personnel and senior nurses in our department according to the guidelines and common diseases requiring chemotherapy in the department. The content includes the basic knowledge of neuro-oncology chemotherapy, pharmacological knowledge, toxic and side effect of chemotherapy, etc., which are regularly pushed through the mobile terminal-WeChat. Forty nurses participated in the training and the effect is evaluated by Kirkpatrick’s model. <strong>Result:</strong> After the training, 100% of nurses were satisfied with the training content and 97.5% with the training form. The scores of nurses in learning level such as basic pharmacological knowledge, drug configuration and exposure, drug treatment and infusion, observation of toxic and side effects, and treatment of drug extravasation were significantly higher than those before the training (P < 0.01). The scores of nurses in the behavior level such as drug allocation, health education, toxic and side effect observation and prediction, treatment of exosmosis, occupational protection were significantly higher than those before the training. After the training, the satisfaction of managers, chemotherapy physicians and chemotherapy patients on the behavior of nurses was significantly higher than that before the training (P < 0.01). <strong>Conclusion:</strong> The chemotherapeutic drug training through mobile terminal based on Kirkpatrick’s model can improve the ability of neuro-oncology nurses, so as to improve the satisfaction of physicians and patients.</span> </div>展开更多
Brain tumors are a diverse group of malignancies that remain refractory to conventional treatment approaches.Molecular neuro-oncologyhas now begun to clarify the transformed phenotype of brain tumors and identify onco...Brain tumors are a diverse group of malignancies that remain refractory to conventional treatment approaches.Molecular neuro-oncologyhas now begun to clarify the transformed phenotype of brain tumors and identify oncogenic pathways that might be amenable to targetedtherapy.Activity of the phosphoinositide 3;kinase(PI3K)/Akt pathway is often upregulated in brain tumors due to excessive stimu-lation by growth factor receptors and Ras.Loss of function of the tumor suppressor gene PTEN also frequently contributesto展开更多
Brain tumor is a global issue due to which several people suffer,and its early diagnosis can help in the treatment in a more efficient manner.Identifying different types of brain tumors,including gliomas,meningiomas,p...Brain tumor is a global issue due to which several people suffer,and its early diagnosis can help in the treatment in a more efficient manner.Identifying different types of brain tumors,including gliomas,meningiomas,pituitary tumors,as well as confirming the absence of tumors,poses a significant challenge using MRI images.Current approaches predominantly rely on traditional machine learning and basic deep learning methods for image classification.These methods often rely on manual feature extraction and basic convolutional neural networks(CNNs).The limitations include inadequate accuracy,poor generalization of new data,and limited ability to manage the high variability in MRI images.Utilizing the EfficientNetB3 architecture,this study presents a groundbreaking approach in the computational engineering domain,enhancing MRI-based brain tumor classification.Our approach highlights a major advancement in employing sophisticated machine learning techniques within Computer Science and Engineering,showcasing a highly accurate framework with significant potential for healthcare technologies.The model achieves an outstanding 99%accuracy,exhibiting balanced precision,recall,and F1-scores across all tumor types,as detailed in the classification report.This successful implementation demonstrates the model’s potential as an essential tool for diagnosing and classifying brain tumors,marking a notable improvement over current methods.The integration of such advanced computational techniques in medical diagnostics can significantly enhance accuracy and efficiency,paving the way for wider application.This research highlights the revolutionary impact of deep learning technologies in improving diagnostic processes and patient outcomes in neuro-oncology.展开更多
Spinal muscular atrophy(SMA)is a rare hereditary neuromuscular disease with a high lethality rate in infants.Variants in the homologous genes survival of motor neuron(SMN)1 and SMN2 have been reported to be SMA pathog...Spinal muscular atrophy(SMA)is a rare hereditary neuromuscular disease with a high lethality rate in infants.Variants in the homologous genes survival of motor neuron(SMN)1 and SMN2 have been reported to be SMA pathogenic factors.Previous studies showed that a highinclusion rate of SMN2 exon 7 increased SMN expression,which in turn reduced the severity of SMA.The inclusion rate of SMN2 exon 7 was higher in neural tissues than in non-neural tissues.Neuro-oncological ventral antigen(NOVA)is a splicing factor that is specifically and highly expressed in neurons.It plays a key role in nervous system development and in the induction of nervous system diseases.Howeve r,it remains unclear whether this splicing factor affects SMA.In this study,we analyzed the inclusion of SMN2 exon 7 in different tissues in a mouse model of SMA(genotype smn^(-/-)SMN2^(2 tg/0))and litter mate controls(genotype smn^(+/-)SMN2^(2 tg/0)).We found that inclusion level of SMN2 exon 7 was high in the brain and spinal co rd tissue,and that NOVA1 was also highly expressed in nervous system tissues.In addition,SMN2 exon 7 and NOVA1 were expressed synchronously in the central nervous system.We further investigated the effects of NOVA1 on disease and found that the number of neurons in the anterior horn of spinal cord decreased in the mouse model of SMA during postnatal days 1-7,and that NOVA1 expression levels in motor neurons decreased simultaneously as spinal muscular atrophy developed.We also found that in vitro expression of NOVA1 increased the inclusion of SMN2 exon 7 and expression ofthe SMN2 protein in the U87 MG cell line,whereas the opposite was observed when NOVA1 was knocked down.Finally,point mutation and RNA pull-down showed that the UCAC motif in SMN2 exon 7 plays a critical role in NOVA1 binding and promoting the inclusion of exon 7.Moreove r,CA was more essential for the inclusion of exon 7 than the order of Y residues in the motif.Collectively,these findings indicate that NOVA1 intera cts with the UCAC motif in exon 7 of SMN2,there by enhancing inclusion of exon 7 in SMN2,which in turn increases expression of the SMN protein.展开更多
The classification of central nervous system(CNS)glioma went through a sequence of developments,between 2006 and 2021,started with only histological approach then has been aided with a major emphasis on molecular sign...The classification of central nervous system(CNS)glioma went through a sequence of developments,between 2006 and 2021,started with only histological approach then has been aided with a major emphasis on molecular signatures in the 4^(th) and 5^(th) editions of the World Health Organization(WHO).The recent reformation in the 5th edition of the WHO classification has focused more on the molecularly defined entities with better characterized natural histories as well as new tumor types and subtypes in the adult and pediatric populations.These new subclassified entities have been incorporated in the 5^(th) edition after the continuous exploration of new genomic,epigenomic and transcriptomic discovery.Indeed,the current guidelines of 2021 WHO classification of CNS tumors and European Association of Neuro-Oncology(EANO)exploited the molecular signatures in the diagnostic approach of CNS gliomas.Our current review presents a practical diagnostic approach for diffuse CNS gliomas and circumscribed astrocytomas using histomolecular criteria adopted by the recent WHO classification.We also describe the treatment strategies for these tumors based on EANO guidelines.展开更多
Neuro-oncology,with its various conservative,surgical,and interventional disciplines,is ideally suited to teach basic knowledge,skills,and attitudes important to medical practice in general.However,training is less ab...Neuro-oncology,with its various conservative,surgical,and interventional disciplines,is ideally suited to teach basic knowledge,skills,and attitudes important to medical practice in general.However,training is less about teaching specific treatment protocols and more about fostering skills for interdisciplinary collaboration,development of treatment recommendations,communication skills,and an ethical stance.To adequately teach this content,new and innovative formats are needed to test and learn high levels of student interaction,communication,and collaboration.New teaching concepts such as inverted teaching formats as well as the use of modern media technology can be helpful to improve networking between disciplines and to improve the quality of medical education.展开更多
As one of the tumors with substantial treatment difficulties,brain tumors have a high mortality rate and high treatment costs.Furthermore,surgical rection of deep-seated tumors or tumors involving eloquent areas is st...As one of the tumors with substantial treatment difficulties,brain tumors have a high mortality rate and high treatment costs.Furthermore,surgical rection of deep-seated tumors or tumors involving eloquent areas is still a challenge for neurosurgeons.Therefore,accurate and early tumor diagnosis,selection of treatment options,and prediction of prognosis are important to improve patients’outcomes.Recently,with the rapid development of computational technology,the frequency of its application in clinical work has increased enormously and the acquisition of medical data has become more convenient and efficient.Furthermore,with the advancement of artificial intelligence(AI)—particularly,machine and deep learning—the applications of AI in medicine and especially neuro-oncology have enhanced diagnosis,treatment,and prognosis prediction of brain tumors topreviously unachievable levels.This article presents an overview of the applications of AI in neuro-oncology for diagnosis,prognosis,surgical treatment,and education.Furthermore,the advantages,perspectives,and challenges of AI for clinical applications in neuro-oncology are discussed.展开更多
Diffuse intrinsic pontine glioma(DIPG)is a lethal pediatric brain tumor and the leading cause of brain tumor–related death in children.As several clinical trials over the past few decades have led to no significant i...Diffuse intrinsic pontine glioma(DIPG)is a lethal pediatric brain tumor and the leading cause of brain tumor–related death in children.As several clinical trials over the past few decades have led to no significant improvements in outcome,the current standard of care remains fractionated focal radiation.Due to the recent increase in stereotactic biopsies,tumor tissue availabilities have enabled our advancement of the genomic and molecular characterization of this lethal cancer.Several groups have identified key histone gene mutations,genetic drivers,and methylation changes in DIPG,providing us with new insights into DIPG tumorigenesis.Subsequently,there has been increased development of in vitro and in vivo models of DIPG which have the capacity to unveil novel therapies and strategies for drug delivery.This review outlines the clinical characteristics,genetic landscape,models,and current treatments and hopes to shed light on novel therapeutic avenues and challenges that remain.展开更多
Purpose:Our previous study has shown that PTPRZ1-MET(ZM)fusion is a viable target for MET inhibitors in gliomas.However,the diversity and prevalence of somatic MET alterations in difuse gliomas are still elusive and n...Purpose:Our previous study has shown that PTPRZ1-MET(ZM)fusion is a viable target for MET inhibitors in gliomas.However,the diversity and prevalence of somatic MET alterations in difuse gliomas are still elusive and need to be extensively characterized for identifying novel therapeutic targets.Methods:Totally,1,350 glioma patients and 31 patient-derived cells were collected from the Chinese Glioma Genome Atlas(CGGA)and published data.All kinds of MET fusions and/or splicing variants(MET F/SVs)were identifed by bioinformatical methods.Single-cell RNA sequencing(scRNA-seq)were used for validation.In vitro experiments of drug resistance were conducted for the possibility of MET-targeted treatment.Results:MET F/SVs but not genomic amplifcation,were highly enriched in the secondary glioblastomas(sGBM)and marked worse prognosis.Further molecular and scRNA-seq analysis revealed that MET F/SVs were induced in the course of glioma evolution and highly associated with MET overexpression.Subsequent in vitro and the clinical study showed that cells and patients harboring MET F/SVs have better response to MET inhibitors.Conclusion:Our fndings expanded the percentage of gliomas with abnormal MET alterations and suggested that a subgroup of gliomas harboring MET F/SVs may beneft from MET-targeted therapy.展开更多
文摘<div style="text-align:justify;"> <span style="font-family:Verdana;"><strong>Background:</strong> Since there has been training, there has been discussion about the effect of training. But training evaluation is not systematic until Kirkpatrick came up with the training evaluation model in 1959. At present, the prevailing model in the systematic summary of training evaluation is still The Kirkpatrick’s model. This model was further improved in 1994, more responsive to contemporary needs, and thus widely used all over the world. At the beginning, it was widely used in human resource management of enterprises. In recent years, this model has been gradually used in the medical field to evaluate the effect of medical training. The Kirkpatrick’s model has a systematic, integrated and persuasive evaluation system for trainees. It has good effects in the pre-service nurse training, the professional image and code of conduct nurses training, and the geriatric nurse training. At present, there are few studies on the chemotherapeutic drug training of neurologist nurses in China. In clinical work, nurses’ cognitive and practical behaviors of chemotherapeutic drug protection and drug extravasation prevention and treatment are insufficient. It directly harms the health of nursing staff and increases the complications of chemotherapy, increases pain of tumor patients, delays or interrupts chemotherapy, and aggravates the economic burden of patients. Especially, Chemotherapeutic drugs for neuro-oncology have particularity and necessity of urgent training. <strong>Objective:</strong> To investigate the effect of chemotherapeutic drug training through mobile terminal for neuro-oncology nurses based on the Kirkpatrick’s model. <strong>Methods: </strong>The training content and evaluation questionnaire for chemotherapeutic drugs were designed by nursing management personnel and senior nurses in our department according to the guidelines and common diseases requiring chemotherapy in the department. The content includes the basic knowledge of neuro-oncology chemotherapy, pharmacological knowledge, toxic and side effect of chemotherapy, etc., which are regularly pushed through the mobile terminal-WeChat. Forty nurses participated in the training and the effect is evaluated by Kirkpatrick’s model. <strong>Result:</strong> After the training, 100% of nurses were satisfied with the training content and 97.5% with the training form. The scores of nurses in learning level such as basic pharmacological knowledge, drug configuration and exposure, drug treatment and infusion, observation of toxic and side effects, and treatment of drug extravasation were significantly higher than those before the training (P < 0.01). The scores of nurses in the behavior level such as drug allocation, health education, toxic and side effect observation and prediction, treatment of exosmosis, occupational protection were significantly higher than those before the training. After the training, the satisfaction of managers, chemotherapy physicians and chemotherapy patients on the behavior of nurses was significantly higher than that before the training (P < 0.01). <strong>Conclusion:</strong> The chemotherapeutic drug training through mobile terminal based on Kirkpatrick’s model can improve the ability of neuro-oncology nurses, so as to improve the satisfaction of physicians and patients.</span> </div>
文摘Brain tumors are a diverse group of malignancies that remain refractory to conventional treatment approaches.Molecular neuro-oncologyhas now begun to clarify the transformed phenotype of brain tumors and identify oncogenic pathways that might be amenable to targetedtherapy.Activity of the phosphoinositide 3;kinase(PI3K)/Akt pathway is often upregulated in brain tumors due to excessive stimu-lation by growth factor receptors and Ras.Loss of function of the tumor suppressor gene PTEN also frequently contributesto
基金supported by the Researchers Supporting Program at King Saud University.Researchers Supporting Project number(RSPD2024R867),King Saud University,Riyadh,Saudi Arabia.
文摘Brain tumor is a global issue due to which several people suffer,and its early diagnosis can help in the treatment in a more efficient manner.Identifying different types of brain tumors,including gliomas,meningiomas,pituitary tumors,as well as confirming the absence of tumors,poses a significant challenge using MRI images.Current approaches predominantly rely on traditional machine learning and basic deep learning methods for image classification.These methods often rely on manual feature extraction and basic convolutional neural networks(CNNs).The limitations include inadequate accuracy,poor generalization of new data,and limited ability to manage the high variability in MRI images.Utilizing the EfficientNetB3 architecture,this study presents a groundbreaking approach in the computational engineering domain,enhancing MRI-based brain tumor classification.Our approach highlights a major advancement in employing sophisticated machine learning techniques within Computer Science and Engineering,showcasing a highly accurate framework with significant potential for healthcare technologies.The model achieves an outstanding 99%accuracy,exhibiting balanced precision,recall,and F1-scores across all tumor types,as detailed in the classification report.This successful implementation demonstrates the model’s potential as an essential tool for diagnosing and classifying brain tumors,marking a notable improvement over current methods.The integration of such advanced computational techniques in medical diagnostics can significantly enhance accuracy and efficiency,paving the way for wider application.This research highlights the revolutionary impact of deep learning technologies in improving diagnostic processes and patient outcomes in neuro-oncology.
基金the National Natural Science Foundation of China,No.32000841(to JJS)a grant from Science and Technology Project of Nantong of Jiangsu Province,No.JC2018090(to LCW)a grant from Graduate Research and Innovation Project of Jiangsu Province,No.KYCX18-2415(to LLD)。
文摘Spinal muscular atrophy(SMA)is a rare hereditary neuromuscular disease with a high lethality rate in infants.Variants in the homologous genes survival of motor neuron(SMN)1 and SMN2 have been reported to be SMA pathogenic factors.Previous studies showed that a highinclusion rate of SMN2 exon 7 increased SMN expression,which in turn reduced the severity of SMA.The inclusion rate of SMN2 exon 7 was higher in neural tissues than in non-neural tissues.Neuro-oncological ventral antigen(NOVA)is a splicing factor that is specifically and highly expressed in neurons.It plays a key role in nervous system development and in the induction of nervous system diseases.Howeve r,it remains unclear whether this splicing factor affects SMA.In this study,we analyzed the inclusion of SMN2 exon 7 in different tissues in a mouse model of SMA(genotype smn^(-/-)SMN2^(2 tg/0))and litter mate controls(genotype smn^(+/-)SMN2^(2 tg/0)).We found that inclusion level of SMN2 exon 7 was high in the brain and spinal co rd tissue,and that NOVA1 was also highly expressed in nervous system tissues.In addition,SMN2 exon 7 and NOVA1 were expressed synchronously in the central nervous system.We further investigated the effects of NOVA1 on disease and found that the number of neurons in the anterior horn of spinal cord decreased in the mouse model of SMA during postnatal days 1-7,and that NOVA1 expression levels in motor neurons decreased simultaneously as spinal muscular atrophy developed.We also found that in vitro expression of NOVA1 increased the inclusion of SMN2 exon 7 and expression ofthe SMN2 protein in the U87 MG cell line,whereas the opposite was observed when NOVA1 was knocked down.Finally,point mutation and RNA pull-down showed that the UCAC motif in SMN2 exon 7 plays a critical role in NOVA1 binding and promoting the inclusion of exon 7.Moreove r,CA was more essential for the inclusion of exon 7 than the order of Y residues in the motif.Collectively,these findings indicate that NOVA1 intera cts with the UCAC motif in exon 7 of SMN2,there by enhancing inclusion of exon 7 in SMN2,which in turn increases expression of the SMN protein.
文摘The classification of central nervous system(CNS)glioma went through a sequence of developments,between 2006 and 2021,started with only histological approach then has been aided with a major emphasis on molecular signatures in the 4^(th) and 5^(th) editions of the World Health Organization(WHO).The recent reformation in the 5th edition of the WHO classification has focused more on the molecularly defined entities with better characterized natural histories as well as new tumor types and subtypes in the adult and pediatric populations.These new subclassified entities have been incorporated in the 5^(th) edition after the continuous exploration of new genomic,epigenomic and transcriptomic discovery.Indeed,the current guidelines of 2021 WHO classification of CNS tumors and European Association of Neuro-Oncology(EANO)exploited the molecular signatures in the diagnostic approach of CNS gliomas.Our current review presents a practical diagnostic approach for diffuse CNS gliomas and circumscribed astrocytomas using histomolecular criteria adopted by the recent WHO classification.We also describe the treatment strategies for these tumors based on EANO guidelines.
基金Science and Digital Society within the framework of the"Fellowship for Innovations in Digital University Teaching"(GZ:5508/78-15-25)the Deutsche Forschungsgemsinschaft(DFG,German Research Foundation)Clinician Scientist Program OrganAge(funding number 413668513)+1 种基金the Interdisciplinary Center of Clinical Research of the Medical Faculty Jenathe Foundation"Else-Kröner-Fresenius-Stiftung"within the Else Kröner Research School for Physicians"AntiAge".
文摘Neuro-oncology,with its various conservative,surgical,and interventional disciplines,is ideally suited to teach basic knowledge,skills,and attitudes important to medical practice in general.However,training is less about teaching specific treatment protocols and more about fostering skills for interdisciplinary collaboration,development of treatment recommendations,communication skills,and an ethical stance.To adequately teach this content,new and innovative formats are needed to test and learn high levels of student interaction,communication,and collaboration.New teaching concepts such as inverted teaching formats as well as the use of modern media technology can be helpful to improve networking between disciplines and to improve the quality of medical education.
基金the National Natural Science Foundation of China(No.81472354).
文摘As one of the tumors with substantial treatment difficulties,brain tumors have a high mortality rate and high treatment costs.Furthermore,surgical rection of deep-seated tumors or tumors involving eloquent areas is still a challenge for neurosurgeons.Therefore,accurate and early tumor diagnosis,selection of treatment options,and prediction of prognosis are important to improve patients’outcomes.Recently,with the rapid development of computational technology,the frequency of its application in clinical work has increased enormously and the acquisition of medical data has become more convenient and efficient.Furthermore,with the advancement of artificial intelligence(AI)—particularly,machine and deep learning—the applications of AI in medicine and especially neuro-oncology have enhanced diagnosis,treatment,and prognosis prediction of brain tumors topreviously unachievable levels.This article presents an overview of the applications of AI in neuro-oncology for diagnosis,prognosis,surgical treatment,and education.Furthermore,the advantages,perspectives,and challenges of AI for clinical applications in neuro-oncology are discussed.
基金supported by grants from the Canadian Institutes of Health Research(PJT-155967 and PJT-153104),Meagan's Hug(Meagan Bebenek Foundation),b.r.a.i.nchild and the Wiley Fund.
文摘Diffuse intrinsic pontine glioma(DIPG)is a lethal pediatric brain tumor and the leading cause of brain tumor–related death in children.As several clinical trials over the past few decades have led to no significant improvements in outcome,the current standard of care remains fractionated focal radiation.Due to the recent increase in stereotactic biopsies,tumor tissue availabilities have enabled our advancement of the genomic and molecular characterization of this lethal cancer.Several groups have identified key histone gene mutations,genetic drivers,and methylation changes in DIPG,providing us with new insights into DIPG tumorigenesis.Subsequently,there has been increased development of in vitro and in vivo models of DIPG which have the capacity to unveil novel therapies and strategies for drug delivery.This review outlines the clinical characteristics,genetic landscape,models,and current treatments and hopes to shed light on novel therapeutic avenues and challenges that remain.
基金supported by grants from the Natural Science Foundation of China (NSFC)/Research Grants Council (RGC),Hong Kong,China Joint Research Scheme (81761168038)the National Natural Science Foundation of China (81802994,81903078,81972337,81972816,82002647,82192894,82103623,and 82002994)+3 种基金the Mainland-Hong Kong Joint Funding Scheme ITC grant MHP/004/19 and MOST grant 2019YFE0109400the Beijing Natural Science Foundation (JQ20030)Sino-German Center for Research Promotion (M-0020)the Beijing Nova Program (Z201100006820118).
文摘Purpose:Our previous study has shown that PTPRZ1-MET(ZM)fusion is a viable target for MET inhibitors in gliomas.However,the diversity and prevalence of somatic MET alterations in difuse gliomas are still elusive and need to be extensively characterized for identifying novel therapeutic targets.Methods:Totally,1,350 glioma patients and 31 patient-derived cells were collected from the Chinese Glioma Genome Atlas(CGGA)and published data.All kinds of MET fusions and/or splicing variants(MET F/SVs)were identifed by bioinformatical methods.Single-cell RNA sequencing(scRNA-seq)were used for validation.In vitro experiments of drug resistance were conducted for the possibility of MET-targeted treatment.Results:MET F/SVs but not genomic amplifcation,were highly enriched in the secondary glioblastomas(sGBM)and marked worse prognosis.Further molecular and scRNA-seq analysis revealed that MET F/SVs were induced in the course of glioma evolution and highly associated with MET overexpression.Subsequent in vitro and the clinical study showed that cells and patients harboring MET F/SVs have better response to MET inhibitors.Conclusion:Our fndings expanded the percentage of gliomas with abnormal MET alterations and suggested that a subgroup of gliomas harboring MET F/SVs may beneft from MET-targeted therapy.
