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Tumour Biology : the Journal of the... Jan 2014Glutathione S-transferase P1 (GSTP1) gene Ile105Val polymorphism has been suggested to be involved in the development of glioma. However, the results from the studies... (Meta-Analysis)
Meta-Analysis Review
Glutathione S-transferase P1 (GSTP1) gene Ile105Val polymorphism has been suggested to be involved in the development of glioma. However, the results from the studies regarding the association between GSTP1 Ile105Val polymorphism and glioma risk have been inconsistent. Thus, we performed a meta-analysis to investigate this association. Pooled odds ratios (ORs) with 95% confidence intervals (95%CIs) were calculated using random or fixed effects model. Nine studies with 2,078 cases and 3,970 controls were finally included into this meta-analysis. The results suggested there was no association between GSTP1 Ile105Val polymorphism and glioma risk under recessive model (OR = 1.138, 95%CI = 0.966-1.341, Pheterogeneity = 0.088, P = 0.123). Subgroup analyses by ethnicity showed there was also no association between GSTP1 Ile105Val polymorphism and glioma risk in mixed populations under recessive model (OR = 1.199, 95%CI = 0.928-1.549, Pheterogeneity = 0.060, P = 0.166) and Caucasian populations (OR = 1.097, 95%CI = 0.885-1.360, Pheterogeneity = 0.186, P = 0.398). In conclusion, the meta-analysis suggests that there is no association between GSTP1 Ile105Val polymorphism and glioma risk. However, more well-designed and larger studies are needed to further assess this association.
Topics: Alleles; Amino Acid Substitution; Brain Neoplasms; Case-Control Studies; Genetic Association Studies; Genetic Predisposition to Disease; Glioma; Glutathione S-Transferase pi; Humans; Odds Ratio; Polymorphism, Single Nucleotide; Publication Bias; Risk
PubMed: 23975366
DOI: 10.1007/s13277-013-1069-4 -
Journal of Experimental & Clinical... May 2015CD133 and Nestin, as the markers of cancer stem cells, have recently been reported frequently in the pathogenesis and development of human gliomas. However, the... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
CD133 and Nestin, as the markers of cancer stem cells, have recently been reported frequently in the pathogenesis and development of human gliomas. However, the prognostic role of CD133 and Nestin in gliomas still remains controversial. In this study, we aimed to evaluate the association between the expression of CD133 and Nestin and the outcome of glioma patients by conducting a systematic review and meta-analysis.
METHODS
We performed systematically electronic and manual searches through the database of Pubmed and embase (until to December 25, 2014) for titles and abstracts which investigated the relationships between CD133 and Nestin expression and outcome of glioma patients. A systematic review and meta-analysis was executed to generate Pooled hazard ratios (HRs) with 95 % confidence intervals (CIs) for overall survival (OS) and progression-free survival (PFS).
RESULTS
A total of 1,490 patients from 32 studies (13 articles) were included in the analysis. 19 studies and 13 studies investigated correlation between CD133 expression or Nestin and survival in gliomas, respectively. Our results showed that high CD133 expression in patients with glioma was associated with poor prognosis in terms of OS (HR 1.69; 95 % CI, 1.16-2.47; P =0.0060) and PFS (HR, 1.64; 95 % CI, 1.12-2.39; P = 0.010). In addition, high Nestin expression were associated with worse OS (HR 1.751; 95 % CI, 1.19-2.58, p = 0.004) but has no significant association with PFS (HR 1.55; 95 % CI, 0.96-2.51, p = 0.074). Even more important, the results of the subgroup meta-analyses show that that high CD133 expression was associated with worse prognosis in terms of OS and PFS in patients with WHO IV glioma but not WHO II-III. On the other hand, Nestin high expression was associated with worse prognosis in terms of OS and PFS in patients with WHO II-III glioma but not WHO IV.
CONCLUSION
High level of CD133 expression trends to correlate with a worse OS and PFS in glioma patients, especially WHO IV gliomas and Nestin high expression trends to correlate with a worse OS in glioma patients especially WHO II-III, revealing both the markers of cancer stem cells may as the potential pathological prognostic markers for glioma patients.
Topics: AC133 Antigen; Antigens, CD; Biomarkers, Tumor; Female; Gene Expression; Glioma; Glycoproteins; Humans; Male; Neoplastic Stem Cells; Nestin; Peptides; Prognosis; Proportional Hazards Models; Publication Bias; Survival Analysis
PubMed: 25967234
DOI: 10.1186/s13046-015-0163-4 -
Neurosurgery Jan 2024Awake vs asleep craniotomy for patients with eloquent glioma is debatable. This systematic review and meta-analysis sought to compare awake vs asleep craniotomy for the... (Meta-Analysis)
Meta-Analysis
BACKGROUND AND OBJECTIVES
Awake vs asleep craniotomy for patients with eloquent glioma is debatable. This systematic review and meta-analysis sought to compare awake vs asleep craniotomy for the resection of gliomas in the eloquent regions.
METHODS
MEDLINE and PubMed were searched from inception to December 13, 2022. Primary outcomes were the extent of resection (EOR), overall survival (month), progression-free survival (month), and rates of neurological deficit, Karnofsky performance score, and seizure freedom at the 3-month follow-up. Secondary outcomes were duration of operation (minute) and length of hospital stay (LOS) (day).
RESULTS
Fifteen studies yielded 2032 patients, from which 800 (39.4%) and 1232 (60.6%) underwent awake and asleep craniotomy, respectively. The meta-analysis concluded that the awake group had greater EOR (mean difference [MD] = MD = 8.52 [4.28, 12.76], P < .00001), overall survival (MD = 2.86 months [1.35, 4.37], P = .0002), progression-free survival (MD = 5.69 months [0.75, 10.64], P = .02), 3-month postoperative Karnofsky performance score (MD = 13.59 [11.08, 16.09], P < .00001), and 3-month postoperative seizure freedom (odds ratio = 8.72 [3.39, 22.39], P < .00001). Furthermore, the awake group had lower 3-month postoperative neurological deficit (odds ratio = 0.47 [0.28, 0.78], P = .004) and shorter LOS (MD = -2.99 days [-5.09, -0.88], P = .005). In addition, the duration of operation was similar between the groups (MD = 37.88 minutes [-34.09, 109.86], P = .30).
CONCLUSION
Awake craniotomy for gliomas in the eloquent regions benefits EOR, survival, postoperative neurofunctional outcomes, and LOS. When feasible, the authors recommend awake craniotomy for surgical resection of gliomas in the eloquent regions.
Topics: Humans; Brain Neoplasms; Wakefulness; Retrospective Studies; Glioma; Craniotomy; Seizures
PubMed: 37489887
DOI: 10.1227/neu.0000000000002612 -
Journal of Clinical Neuroscience :... Jul 2021Glioma is the most common primary intraparenchymal tumor of the brain and the 5-year survival rate of high-grade glioma is poor. Magnetic resonance imaging (MRI) is...
Glioma is the most common primary intraparenchymal tumor of the brain and the 5-year survival rate of high-grade glioma is poor. Magnetic resonance imaging (MRI) is essential for detecting, characterizing and monitoring brain tumors but definitive diagnosis still relies on surgical pathology. Machine learning has been applied to the analysis of MRI data in glioma research and has the potential to change clinical practice and improve patient outcomes. This systematic review synthesizes and analyzes the current state of machine learning applications to glioma MRI data and explores the use of machine learning for systematic review automation. Various datapoints were extracted from the 153 studies that met inclusion criteria and analyzed. Natural language processing (NLP) analysis involved keyword extraction, topic modeling and document classification. Machine learning has been applied to tumor grading and diagnosis, tumor segmentation, non-invasive genomic biomarker identification, detection of progression and patient survival prediction. Model performance was generally strong (AUC = 0.87 ± 0.09; sensitivity = 0.87 ± 0.10; specificity = 0.0.86 ± 0.10; precision = 0.88 ± 0.11). Convolutional neural network, support vector machine and random forest algorithms were top performers. Deep learning document classifiers yielded acceptable performance (mean 5-fold cross-validation AUC = 0.71). Machine learning tools and data resources were synthesized and summarized to facilitate future research. Machine learning has been widely applied to the processing of MRI data in glioma research and has demonstrated substantial utility. NLP and transfer learning resources enabled the successful development of a replicable method for automating the systematic review article screening process, which has potential for shortening the time from discovery to clinical application in medicine.
Topics: Algorithms; Artificial Intelligence; Brain Neoplasms; Glioma; Humans; Machine Learning; Magnetic Resonance Imaging; Neural Networks, Computer; Neuroimaging; Neurosurgical Procedures; Support Vector Machine
PubMed: 34119265
DOI: 10.1016/j.jocn.2021.04.043 -
Seizure Feb 2018Gliomas, particularly low-grade gliomas (LGGs), are highly epileptogenic. Seizure is the most common presenting sign of LGG patients and significantly decreases their... (Meta-Analysis)
Meta-Analysis Review
PURPOSE
Gliomas, particularly low-grade gliomas (LGGs), are highly epileptogenic. Seizure is the most common presenting sign of LGG patients and significantly decreases their quality of life. Accordingly, there is a need for a better understanding of the mechanisms and risk factors of glioma-related epilepsy. The current study aimed to perform a comprehensive meta-analysis to investigate the correlation of isocitrate-dehydrogenase 1 (IDH1), an important molecular biomarker for glioma classification and prognosis, to preoperative seizure incidence in LGG.
METHODS
PUBMED, EMBASE, and Web of Science databases were searched for relevant studies. The odds ratio (OR) and corresponding 95% confidence interval (CI) were used as the primary measures to assess the correlation between IDH1 mutation and preoperative seizure incidence.
RESULTS
A total of 722 LGG patients, including 555 patients with IDH1 mutation and 167 patients with wild-type IDH1 were enrolled in the current meta-analysis. The pooled OR was 2.47 (95% CI 1.70-3.57, Z = 4.78, p < 0.01). No significant heterogeneity was observed among all included studies and no publication bias was identified.
CONCLUSION
The current meta-analysis identified that IDH1 mutation was correlated to a higher preoperative seizure incidence in LGG. This result would generate impetus for research on the mechanisms behind this correlation, and provide a new idea for the individualized treatment of glioma-related epilepsy.
Topics: Brain Neoplasms; Genetic Predisposition to Disease; Glioma; Humans; Incidence; Isocitrate Dehydrogenase; Seizures
PubMed: 29414139
DOI: 10.1016/j.seizure.2018.01.011 -
Frontiers in Immunology 2021Programmed cell death protein 1 (PD-1) can attenuate chimeric antigen receptor-T (CAR-T) cell-mediated anti-tumoral immune responses. In this regard, co-administration...
BACKGROUND
Programmed cell death protein 1 (PD-1) can attenuate chimeric antigen receptor-T (CAR-T) cell-mediated anti-tumoral immune responses. In this regard, co-administration of anti-PD-1 with CAR-T cells and PD-1 gene-editing of CAR-T cells have been suggested to disrupt this inhibitory axis. Herein, we aim to investigate the advantages and disadvantages of these two approaches and propose a novel strategy to ameliorate the prognosis of glioma patients.
METHODS
Scopus, Embase, and Web of Science were systematically searched to obtain relevant peer-reviewed studies published before March 7, 2021. Then, the current study was conducted based on the preferred reporting items for systematic reviews and meta-analyses (PRISMA) statements. The random-effect model was applied to evaluate the effect size of administrated agents on the survival of animal models bearing gliomas using RevMan version 5.4. The Cochran Q test and I were performed to assess the possible between-study heterogeneity. Egger's and Begg and Mazumdar's tests were performed to objectively assess potential asymmetry and publication bias using CMA version 2.
RESULTS
Anti-PD-1 can substantially increase the survival of animal models on second-generation CAR-T cells. Also, PD-1 knockdown can remarkably prolong the survival of animal models on third-generation CAR-T cells. Regardless of the CAR-T generations, PD-1 gene-edited CAR-T cells can considerably enhance the survival of animal-bearing gliomas compared to the conventional CAR-T cells.
CONCLUSIONS
The single-cell sequencing of tumoral cells and cells residing in the tumor microenvironment can provide valuable insights into the patient-derived neoantigens and the expression profile of inhibitory immune checkpoint molecules in tumor bulk. Thus, single-cell sequencing-guided fourth-generation CAR-T cells can cover patient-derived neoantigens expressed in various subpopulations of tumoral cells and inhibit related inhibitory immune checkpoint molecules. The proposed approach can improve anti-tumoral immune responses, decrease the risk of immune-related adverse events, reduce the risk of glioma relapse, and address the vast inter-and intra-heterogeneity of gliomas.
Topics: Animals; Brain Neoplasms; Gene Editing; Glioma; Humans; Immune Checkpoint Inhibitors; Immunotherapy, Adoptive; Mice; Precision Medicine; Programmed Cell Death 1 Receptor; Single-Cell Analysis
PubMed: 35126356
DOI: 10.3389/fimmu.2021.788211 -
Neurosurgery Aug 2022Circulating tumor DNA (ctDNA) has emerged as a promising noninvasive biomarker to capture tumor genetics in patients with brain tumors. Research into its clinical... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Circulating tumor DNA (ctDNA) has emerged as a promising noninvasive biomarker to capture tumor genetics in patients with brain tumors. Research into its clinical utility, however, has not been standardized because the sensitivity and specificity of ctDNA remain undefined.
OBJECTIVE
To (1) review the primary literature about ctDNA in adults with glioma to compare the sensitivity and specificity of ctDNA in the cerebrospinal fluid vs the plasma and (2) to evaluate the effect of tumor grade on detection of ctDNA.
METHODS
PRISMA-guided systematic review and meta-analysis was performed using published studies that assessed ctDNA in either plasma or cerebrospinal fluid among adult patients with confirmed glioma. Summary receiver operating characteristic curves were generated using the Rücker-Schumacher method, and area under the curve (AUC) was calculated.
RESULTS
Meta-analysis revealed improved biomarker performance for CSF (AUC = 0.947) vs plasma (AUC = 0.741) ctDNA, although this did not reach statistical significance ( P = .141). Qualitative analysis revealed greater sensitivities among single-allele PCR and small, targeted next-generation sequencing panels compared with broader panels. It additionally demonstrated higher sensitivity of ctDNA detection in high-grade vs low-grade gliomas, although these analyses were limited by a lack of specificity reporting in many studies.
CONCLUSION
ctDNA seems to be a highly sensitive and specific noninvasive biomarker among adults with gliomas. To maximize its performance, CSF should be studied with targeted genetic analysis platforms, particularly in high-grade gliomas. Further studies on ctDNA are needed to define its clinical utility in diagnosis, prognostication, glioblastoma pseudoprogression, and other scenarios wherein neoadjuvant therapies may be considered.
Topics: Adult; Biomarkers, Tumor; Circulating Tumor DNA; Glioma; High-Throughput Nucleotide Sequencing; Humans; Mutation
PubMed: 35535984
DOI: 10.1227/neu.0000000000001982 -
Journal of Neurosurgery Jul 2023A cancer diagnosis is life altering and frequently associated with both acute and long-lasting psychosocial and behavioral distress for patients. The impact of a diffuse...
A cancer diagnosis is life altering and frequently associated with both acute and long-lasting psychosocial and behavioral distress for patients. The impact of a diffuse glioma diagnosis on mental health is an important aspect of the patient experience with their disease. This needs to be understood by neurosurgeons so these concerns can be appropriately addressed in a timely fashion and integrated into the multidisciplinary care of neuro-oncology patients. The relatively grave prognosis associated with diffuse gliomas, the morbidity associated with treatment, and the constant threat of developing a new neurological deficit all can negatively affect a patient's mental ability to cope and ultimately manifest in mental health disorders such as anxiety and depression. The objective of this systematic review was to describe the variety of behavioral health disorders patients may experience following a glioma diagnosis and discuss possible treatment options. The PubMed, Web of Science, Embase, and PsycINFO databases were searched through July 1, 2022, using broad search terms, which resulted in 5028 studies that were uploaded to Covidence systematic review software. Duplicates, non-English-language studies, and studies with irrelevant outcomes or incorrect design were removed (n = 3167). A total of 92 articles reporting behavioral health outcomes in brain tumor patients were categorized and extracted for associations with overall mental health, anxiety, depression, distress, stress, pharmacology, interventions, and mental health in caregivers. The authors identified numerous studies reporting the prevalence of mental health disorders and their negative influence in this population. However, there is a paucity of literature on therapeutic options for patients. Given the strong correlation between patient quality of life and mental well-being, there is a considerable need for early recognition and treatment of these behavioral health disorders to optimize everyday functioning for patients.
Topics: Humans; Quality of Life; Neurosurgeons; Mental Disorders; Mental Health; Glioma
PubMed: 36334288
DOI: 10.3171/2022.9.JNS221139 -
Genetics and Molecular Research : GMR Mar 2015Several studies have examined the association between excision repair cross-complementation group 1 (ERCC1) C8092A and ERCC2 Lys751Gln polymorphisms and glioma risk, but... (Meta-Analysis)
Meta-Analysis Review
Several studies have examined the association between excision repair cross-complementation group 1 (ERCC1) C8092A and ERCC2 Lys751Gln polymorphisms and glioma risk, but the results have been inconclusive. We conducted a meta-analysis of 12 studies to determine the association between ERCC1 rs3212986 and ERCC2 rs13181 genes and glioma susceptibility. We searched for relevant studies in both Chinese and English in PubMed, Web of Science, Cochrane Library, and EMBASE through January 1, 2014, and identified 3939 cases and 5407 controls. The results showed that individuals carrying the ERCC1 rs3212986 AA genotype had higher risk of glioma compared with the CC genotype, with a pooled odds ratio = 1.29, 95% confidence interval = 1.07-1.55. Subgroup analysis showed that the ERCC1 rs3212986 AA genotype was significantly associated with an increased risk of glioma in the Chinese population (odds ratio = 1.37, 95% confidence interval = 1.07-1.55), but no association in Caucasian Chinese. No significant association was observed between ERCC2 rs13181 polymorphisms and glioma risk. The results of our meta-analysis strongly suggested that the ERCC1 rs3212986 polymorphism was associated with a higher susceptibility to glioma, particularly in the Chinese population. Studies including a larger sample size and more specified information regarding pathological types of glioma are needed to confirm our results.
Topics: DNA-Binding Proteins; Endonucleases; Gene Frequency; Genetic Predisposition to Disease; Genotype; Glioma; Humans; Odds Ratio; Polymorphism, Single Nucleotide; Risk Factors; Xeroderma Pigmentosum Group D Protein
PubMed: 25867436
DOI: 10.4238/2015.March.31.17 -
Supportive Care in Cancer : Official... Jan 2003The goal of this work was a systematic review of communication, information and support for adults with malignant cerebral glioma. Medical, nursing and social science... (Review)
Review
The goal of this work was a systematic review of communication, information and support for adults with malignant cerebral glioma. Medical, nursing and social science computerised databases up to spring 2000 were searched. Key organisations were contacted, and specialist journals were searched. Inclusion criteria were publication in English, inclusion of patients with malignant cerebral glioma, measurement of patients' and relatives' awareness of the prognosis, distress, satisfaction with information or care received, uptake of service or professional communication skills. Studies of patients with other cancers were excluded. Qualitative and quantitative studies were assessed, graded for methodological quality and combined. Twelve observational studies were found, although many were limited by sample selection, description and setting. Patient awareness of the prognosis varied, and relatives appeared more aware. There was no direct evidence about what patients and relatives wanted to know, but qualitative studies suggested that an individual approach to disclosure and maintaining hope were important. Most patients and relatives valued specialist nurse support highly. No specific studies of interventions to break bad news, giving information or training staff were found for these patients. Evidence from observational studies suggests that these patients need individually tailored communication and information, and specialist support. Existing intervention studies of patients with other cancers may suggest effective strategies.
Topics: Adult; Aged; Awareness; Brain Neoplasms; Communication; Databases, Factual; Glioma; Humans; Information Services; Middle Aged; Patient Education as Topic; Professional-Patient Relations; Social Support
PubMed: 12527950
DOI: 10.1007/s00520-002-0392-x