Impacts of Nutlin-3a and exercise on murine double minute 2-enriched glioma treatment

Recent research has demonstrated the impact of physical activity on the prognosis of glioma patients,with evidence suggesting exercise may reduce mortality risks and aid neural regeneration.The role of the small ubiquitin-like modifier(SUMO)protein,especially post-exercise,in cancer progression,is gaining attention,as are the potential anti-cancer effects of SUMOylation.We used machine learning to create the exercise and SUMO-related gene signature(ESLRS).This signature shows how physical activity might help improve the outlook for low-grade glioma and other cancers.We demonstrated the prognostic and immunotherapeutic significance of ESLRS markers,specifically highlighting how murine double minute 2(MDM2),a component of the ESLRS,can be targeted by nutlin-3.This underscores the intricate relationship between natural compounds such as nutlin-3 and immune regulation.Using comprehensive CRISPR screening,we validated the effects of specific ESLRS genes on low-grade glioma progression.We also revealed insights into the effectiveness of Nutlin-3a as a potent MDM2 inhibitor through molecular docking and dynamic simulation.Nutlin-3a inhibited glioma cell proliferation and activated the p53 pathway.Its efficacy decreased with MDM2 overexpression,and this was reversed by Nutlin-3a or exercise.Experiments using a low-grade glioma mouse model highlighted the effect of physical activity on oxidative stress and molecular pathway regulation.Notably,both physical exercise and Nutlin-3a administration improved physical function in mice bearing tumors derived from MDM2-overexpressing cells.These results suggest the potential for Nutlin-3a,an MDM2 inhibitor,with physical exercise as a therapeutic approach for glioma management.Our research also supports the use of natural products for therapy and sheds light on the interaction of exercise,natural products,and immune regulation in cancer treatment.

Updates on management of gliomas in the molecular age

Gliomas are primary brain tumors derived from glial cells of the central nervous system,afflicting both adults and children with distinct characteristics and therapeutic challenges.Recent developments have ushered in novel clinical and molecular prognostic factors,reshaping treatment paradigms based on classi-fication and grading,determined by histological attributes and cellular lineage.This review article delves into the diverse treatment modalities tailored to the specific grades and molecular classifications of gliomas that are currently being discussed and used clinically in the year 2023.For adults,the therapeutic triad typically consists of surgical resection,chemotherapy,and radiotherapy.In contrast,pediatric gliomas,due to their diversity,require a more tailored approach.Although complete tumor excision can be curative based on the location and grade of the glioma,certain non-resectable cases demand a chemotherapy approach usually involving,vincristine and carboplatin.Addi-tionally,if surgery or chemotherapy strategies are unsuccessful,Vinblastine can be used.Despite recent advancements in treatment methodologies,there remains a need of exploration in the literature,particularly concerning the efficacy of treatment regimens for isocitrate dehydrogenase type mutant astrocytomas and fine-tuned therapeutic approaches tailored for pediatric cohorts.This review article explores into the therapeutic modalities employed for both adult and pediatric gliomas in the context of their molecular classification.

Current challenges in the treatment of gliomas:The molecular era

Gliomas originate from glial cells in the central nervous system.Approximately 80%-85%of malignant brain tumors in adults are gliomas.The most common central nervous system tumor in children is low-grade pediatric glioma.Diagnosis was determined by histological features until 2016 when the World Health Organization classification integrated molecular data with anatomopathological information to achieve a more integral diagnosis.Molecular characterization has led to better diagnostic and prognostic staging,which in turn has increased the precision of treatment.Current efforts are focused on more effective therapies to prolong survival and improve the quality of life of adult and pediatric patients with glioma.However,improvements in survival have been modest.Currently,clinical guidelines,as well as the article by Mohamed et al accompanying this editorial piece,are adapting treatment recommendations(surgery,chemotherapy,and radiotherapy)according to diagnosis and prognosis guided by molecular biomarkers.Furthermore,this paves the way for the design of clinical trials with new therapies,which is especially important in pediatric gliomas.

Leveraging machine learning for early recurrence prediction in hepatocellular carcinoma:A step towards precision medicine

The high rate of early recurrence in hepatocellular carcinoma(HCC)post curative surgical intervention poses a substantial clinical hurdle,impacting patient outcomes and complicating postoperative management.The advent of machine learning provides a unique opportunity to harness vast datasets,identifying subtle patterns and factors that elude conventional prognostic methods.Machine learning models,equipped with the ability to analyse intricate relationships within datasets,have shown promise in predicting outcomes in various medical disciplines.In the context of HCC,the application of machine learning to predict early recurrence holds potential for personalized postoperative care strategies.This editorial comments on the study carried out exploring the merits and efficacy of random survival forests(RSF)in identifying significant risk factors for recurrence,stratifying patients at low and high risk of HCC recurrence and comparing this to traditional COX proportional hazard models(CPH).In doing so,the study demonstrated that the RSF models are superior to traditional CPH models in predicting recurrence of HCC and represent a giant leap towards precision medicine.

Scinderin promotes glioma cell migration and invasion via remodeling actin cytoskeleton

BACKGROUND Glioma is one of the most common intracranial tumors,characterized by invasive growth and poor prognosis.Actin cytoskeletal rearrangement is an essential event of tumor cell migration.The actin dynamics-related protein scinderin(SCIN)has been reported to be closely related to tumor cell migration and invasion in several cancers.AIM To investigate the role and mechanism of SCIN in glioma.METHODS The expression and clinical significance of SCIN in glioma were analyzed based on public databases.SCIN expression was examined using real-time quantitative polymerase chain reaction and Western blotting.Gene silencing was performed using short hairpin RNA transfection.Cell viability,migration,and invasion were assessed using cell counting kit 8 assay,wound healing,and Matrigel invasion assays,respectively.F-actin cytoskeleton organization was assessed using F-actin staining.RESULTS SCIN expression was significantly elevated in glioma,and high levels of SCIN were associated with advanced tumor grade and wild-type isocitrate dehydrogenase.Furthermore,SCIN-deficient cells exhibited decreased proliferation,migration,and invasion in U87 and U251 cells.Moreover,knockdown of SCIN inhibited the RhoA/focal adhesion kinase(FAK)signaling to promote F-actin depolymerization in U87 and U251 cells.CONCLUSION SCIN modulates the actin cytoskeleton via activating RhoA/FAK signaling,thereby promoting the migration and invasion of glioma cells.This study identified the cancer-promoting effect of SCIN and provided a potential therapeutic target for the treatment of glioma.

Multimodal cardiac imaging assisted tumor characterization and surgical planning of a patient with rare primary cardiac paraganglioma

Paragangliomas,also known as pheochromocytomas(1–9 cases per million),arise in the paraganglia.[1]Pheochromocytomas occur in the adrenal glands,while paragangliomas occur elsewhere.[2]Paragangliomas originate from paraganglion cells,which are derived from the neural ectoderm of the nerves and migrate along both sides of the median axis from the base of the skull to the pelvis during embryonic development.

Using multi-omics analysis to explore diagnostic tool and optimize drug therapy selection for patients with glioma based on cross-talk gene signature

Background:The heterogeneity of prognosis and treatment benefits among patients with gliomas is due to tumor microenvironment characteristics.However,biomarkers that reflect microenvironmental characteristics and predict the prognosis of gliomas are limited.Therefore,we aimed to develop a model that can effectively predict prognosis,differentiate microenvironment signatures,and optimize drug selection for patients with glioma.Materials and Methods:The CIBERSORT algorithm,bulk sequencing analysis,and single-cell RNA(scRNA)analysis were employed to identify significant cross-talk genes between M2 macrophages and cancer cells in glioma tissues.A predictive model was constructed based on cross-talk gene expression,and its effect on prognosis,recurrence prediction,and microenvironment characteristics was validated in multiple cohorts.The effect of the predictive model on drug selection was evaluated using the OncoPredict algorithm and relevant cellular biology experiments.Results:A high abundance of M2 macrophages in glioma tissues indicates poor prognosis,and cross-talk between macrophages and cancer cells plays a crucial role in shaping the tumor microenvironment.Eight genes involved in the cross-talk between macrophages and cancer cells were identified.Among them,periostin(POSTN),chitinase 3 like 1(CHI3L1),serum amyloid A1(SAA1),and matrix metallopeptidase 9(MMP9)were selected to construct a predictive model.The developed model demonstrated significant efficacy in distinguishing patient prognosis,recurrent cases,and characteristics of high inflammation,hypoxia,and immunosuppression.Furthermore,this model can serve as a valuable tool for guiding the use of trametinib.Conclusions:In summary,this study provides a comprehensive understanding of the interplay between M2 macrophages and cancer cells in glioma;utilizes a cross-talk gene signature to develop a predictive model that can predict the differentiation of patient prognosis,recurrence instances,and microenvironment characteristics;and aids in optimizing the application of trametinib in glioma patients.

A comprehensive and systematic analysis of Dihydrolipoamide S-acetyltransferase (DLAT) as a novel prognostic biomarker in pan-cancer and glioma

Background:Dihydrolipoamide S-acetyltransferase(DLAT)is a subunit of the pyruvate dehydrogenase complex(PDC),a rate-limiting enzyme complex,that can participate in either glycolysis or the tricarboxylic acid cycle(TCA).However,the pathogenesis is not fully understood.We aimed to perform a more systematic and comprehensive analysis of DLAT in the occurrence and progression of tumors,and to investigate its function in patients’prognosis and immunotherapy.Methods:The differential expression,diagnosis,prognosis,genetic and epigenetic alterations,tumor microenvironment,stemness,immune infiltration cells,function enrichment,single-cell analysis,and drug response across cancers were conducted based on multiple computational tools.Additionally,we validated its carcinogenic effect and possible mechanism in glioma cells.Results:We exhibited that DLAT expression was increased in most tumors,especially in glioma,and affected the survival of tumor patients.DLAT was related to RNA modification genes,DNA methylation,immune infiltration,and immune infiltration cells,including CD4+T cells,CD8+T cells,Tregs,and cancer-associatedfibroblasts.Single-cell analysis displayed that DLAT might regulate cancer by mediating angiogenesis,inflammation,and stemness.Enrichment analysis revealed that DLAT might take part in the cell cycle pathway.Increased expression of DLAT leads tumor cells to be more resistant to many kinds of compounds,including PI3Kβinhibitors,PKC inhibitors,HSP90 inhibitors,and MEK inhibitors.In addition,glioma cells with DLAT silence inhibited proliferation,migration,and invasion ability,and promoted cell apoptosis.Conclusion:We conducted a comprehensive analysis of DLAT in the occurrence and progression of tumors,and its possible functions and mechanisms.DLAT is a potential diagnostic,prognostic,and immunotherapeutic biomarker for cancer patients.

Revealing the role of honokiol in human glioma cells by RNA-seq analysis

Background:Glioma is a kind of tumor that easily deteriorates and originates from glial cells in nerve tissue.Honokiol is a bisphenol compound that is an essential monomeric compound extracted from the roots and bark of Magnoliaceae plants.It also has anti-infection,antitumor,and immunomodulatory effects.In this study,we found that honokiol induces cell apoptosis in the human glioma cell lines U87-MG and U251-MG.However,the mechanism through which honokiol regulates glioma cell apoptosis is still unknown.Methods:We performed RNA-seq analysis of U251-MG cells treated with honokiol and control cells.Protein-protein interaction(PPI)network analysis was performed,and the 10 top hub unigenes were examined via real-time quantitative PCR.Furthermore,MAPK signaling and ferroptosis were detected via western blotting.Results:332 differentially expressed genes(DEGs)were found,comprising 163 increased and 169 decreased genes.Analysis of the DEGs revealed that various biological processes were enriched,including‘response to hypoxia’,‘cerebellum development cellular response to hypoxia,’‘iron ion binding,’‘oxygen transporter activity,’‘oxygen binding,’‘ferric iron binding,’and‘structural constituent of cytoskeleton.’Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway analysis revealed that the DEGs were enriched in the following pathways:‘mitogen-activated protein kinases(MAPK)’,‘Hypoxia-inducible factor 1(HIF-1)’,‘ferroptosis,’‘Peroxisome proliferator-activated receptor(PPAR),’‘Phosphatidylinositol-4,5-bisphosphate 3-kinase(PI3K)-protein kinase B(Akt),’and‘phagosome.’Among these pathways,the MAPK signaling pathway and ferroptosis were verified.Conclusion:This study revealed the potential mechanism by which honokiol induces apoptosis and provided a comprehensive analysis of DEGs in honokiol-treated U251-MG cells and the associated signaling pathways.These data could lead to new ideas for future research and therapy for patients with glioma.

IQGAP3 promotes the progression of glioma as an immune and prognostic marker

Background:IQGAP3 plays a crucial role in regulating cell proliferation,division,and cytoskeletal organization.Abnormal expression of IQGAP3 has been linked to various tumors,but its function in glioma is not well understood.Methods:Various methods,including genetic differential analysis,single-cell analysis,ROC curve analysis,Cox regression,Kaplan-Meier analysis,and enrichment analysis,were employed to analyze the expression patterns,diagnostic potential,prognostic implications,and biological processes involving IQGAP3 in normal and tumor tissues.The impact of IQGAP3 on immune infiltration and the immune microenvironment in gliomas was evaluated using immunofluorescence.Additionally,the cBioPortal database was used to analyze copy number variations and mutation sites of IQGAP3.Experimental validation was also performed to assess the effects of IQGAP3 on glioma cells and explore underlying mechanisms.Results:High IQGAP3 expression in gliomas is associated with an unfavorable prognosis,particularly in wild-type IDH and 1p/19q non-codeleted gliomas.Enrichment analysis revealed that IQGAP3 is involved in regulating the cell cycle,PI3K/AKT signaling,p53 signaling,and PLK1-related pathways.Furthermore,IQGAP3 expression may be closely related to the immunosuppressive microenvironment of glioblastoma.BRD-K88742110 and LY-303511 are potential drugs for targeting IQGAP3 in anti-glioma therapy.In vitro experiments showed that downregulation of IQGAP3 inhibits the proliferation and migration of glioma cells,with the PLK1/PI3K/AKT pathway potentially playing a crucial role in IQGAP3-mediated glioma progression.Conclusion:IQGAP3 shows promise as a valuable biomarker for diagnosis,prognosis,and immunotherapeutic strategies in gliomas.

ATM Activation is Key in Vasculogenic Mimicry Formation by Glioma Stem-like Cells

Objective Vasculogenic mimicry(VM)is a novel vasculogenic process integral to glioma stem cells(GSCs)in glioblastoma(GBM).However,the relationship between VM and ataxia-telangiectasia mutated(ATM)serine/threonine kinase activation,which confers chemoradiotherapy resistance,remains unclear.Methods We investigated VM formation and phosphorylated ATM(pATM)levels by CD31/GFAPperiodic acid-Schiff dual staining and immunohistochemical staining in 145 GBM specimens.Glioma stem-like cells(GSLCs)derived from the formatted spheres of U87 and U251 cell lines and their pATM level and VM formation ability were examined using western blot and three-dimensional culture.For the examination of the function of pATM in VM formation by GSLCs,ATM knockdown by shRNAs and deactivated via ATM phosphorylation inhibitor KU55933 were studied.Results VM and high pATM expression occurred in 38.5% and 41.8% of tumors,respectively,and were significantly associated with reduced progression-free and overall survival.Patients with VM-positive GBMs exhibited higher pATM levels(r_(s)=0.425,P=0.01).The multivariate analysis established VM as an independent negative prognostic factor(P=0.002).Furthermore,GSLCs expressed high levels of pATM and formed vascular-like networks in vitro.ATM inactivation or knockdown hindered VM-like network formation concomitant with the downregulation of pVEGFR-2,VE-cadherin,and laminin B2.Conclusion VM may predict a poor GBM prognosis and is associated with pATM expression.We propose that pATM promotes VM through extracellular matrix modulation and VE-Cadherin/pVEGFR-2 activation,thereby highlighting ATM activation as a potential target for enhancing anti-angiogenesis therapies for GBM.

Recurrence scoring system predicting early recurrence for patients with pancreatic ductal adenocarcinoma undergoing pancreatectomy and portomesenteric vein resection

BACKGROUND Pancreatectomy with concomitant portomesenteric vein resection(PVR)enables patients with portomesenteric vein(PV)involvement to achieve radical resection of pancreatic ductal adenocarcinoma,however,early recurrence(ER)is frequently observed.AIM To predict ER and identify patients at high risk of ER for individualized therapy.METHODS Totally 238 patients undergoing pancreatectomy and PVR were retrospectively enrolled and were allocated to the training or validating cohort.Univariate Cox and LASSO regression analyses were performed to construct serum recurrence score(SRS)based on 26 serum-derived parameters.Uni-and multivariate Cox regression analyses of SRS and 18 clinicopathological variables were performed to establish a Nomogram.Receiver operating characteristic curve analysis was used to evaluate the predictive accuracy.Survival analysis was performed using Kaplan-Meier method and log-rank test.RESULTS Independent serum-derived recurrence-relevant factors of LASSO regression model,including postoperative carbohydrate antigen 19-9,postoperative carcinoembryonic antigen,postoperative carbohydrate antigen 125,preoperative albumin(ALB),preoperative platelet to ALB ratio,and postoperative platelets to lymphocytes ratio,were used to construct SRS[area under the curve(AUC):0.855,95%CI:0.786–0.924].Independent risk factors of recurrence,including SRS[hazard ratio(HR):1.688,95%CI:1.075-2.652],pain(HR:1.653,95%CI:1.052-2.598),perineural invasion(HR:2.070,95%CI:0.827-5.182),and PV invasion(HR:1.603,95%CI:1.063-2.417),were used to establish the recurrence nomogram(AUC:0.869,95%CI:0.803-0.934).Patients with either SRS>0.53 or recurrence nomogram score>4.23 were considered at high risk for ER,and had poor long-term outcomes.CONCLUSION The recurrence scoring system unique for pancreatectomy and PVR,will help clinicians in predicting recurrence efficiently and identifying patients at high risk of ER for individualized therapy.

Gene Expression Profile Identifies LncRNA AL355974.3 As a Potential Glioma Biomarker

Objective Glioma is a central nervous system tumor arising from glial cells.Despite significant advances in diagnosis and treatment,most patients with high-grade gliomas have a poor prognosis.Many studies have shown that long noncoding RNAs(lncRNAs)may play important roles in the development,progression and treatment of many tumors,including gliomas.Molecularly targeted therapy may be a new direction for the adjuvant treatment of glioma.Therefore,we hope that by studying differentially expressed lncRNAs(DElncRNAs)in glioma,we can discover lncRNAs that can serve as biomarkers for glioma and provide better therapeutic modalities for glioma patients.Methods First,the expression of lncRNAs in 5 normal brain(NB)tissues and 10 glioma tissues was examined by RNA sequencing(RNA-seq).Next,we performed Kaplan-Meier analysis of data from The Cancer Genome Atlas(TCGA)database to assess the prognostic value of these variables.Finally,functional analysis of the DElncRNAs was performed by means of Gene Ontology(GO)enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway analysis.Results RNA sequencing analysis revealed 85 upregulated miRNAs and 71 downregulated lncRNAs in low-grade glioma(LGG)and 50 upregulated lncRNAs and 70 downregulated lncRNAs in glioblastoma(GBM).Among them,AL355974.3 was the most upregulated lncRNA.LINC00632 was the most downregulated lncRNA.Second,LGG patients with higher AL355974.3 expression had worse overall survival according to Kaplan-Meier analysis of the TCGA database.Finally,bioinformatics analysis revealed that the target genes of these DElncRNAs were enriched in various biological processes and signaling pathways,such as cell metabolic and developmental processes.Conclusion Our findings provide evidence that AL355974.3 may be a new biomarker for glioma.

The stability of FKBP9 maintained by BiP is crucial for glioma progression

FK506-binding protein 9(FKBP9)is involved in tumor malignancy by resistance to endoplasmic reticulum(ER)stress,and the up-regulation of FKBP9 is associated with patients'poor prognosis.The current knowledge of the molecular mechanisms is still limited.One pre-vious study showed that FKBP9 could confer glioblastoma cell resistance to ER stress through ASK1-p38 signaling.However,the upstream regulatory mechanism of FKBP9 expression is still indistinct.In this study,we identified the FKBP9 binding proteins using co-immunoprecipitation followed by mass spectrometry.Results showed that FKBP9 interacted with the binding immu-noglobulin protein(BiP).BiP bound directly to FKBP9 with high affinity.BiP prolonged the half-life of the FKBP9 protein and stabilized the FKBP9 protein.BiP and FKBP9 protein levels were positively correlated in patients with glioma,and patients with high expression of BiP and FKBP9 showed a worse prognosis.Further studies showed that FKBP9 knockout in genetically engineered mice inhibited intracranial glioblastoma formation and prolonged survival by decreasing cellular proliferation and ER stress-induced CHOP-related apoptosis.Moreover,normal cells may depend less on FKBP9,as shown by the absence of apoptosis upon FKBP9 knockdown in a non-transformed human cell line and overall normal development in homozygous knockout mice.These findings suggest an important role of BiP-regulated FKBP9-associated signaling in glioma progression and the BiP-FKBP9 axis may be a potential therapeutic target forglioma.

Dual-wavelength pumped latticed Fermi-Pasta-Ulam recurrences in nonlinear Schrödinger equation

We show that the nonlinear stage of the dual-wavelength pumped modulation instability(MI)in nonlinear Schrödinger equation(NLSE)can be effectively analyzed by mode truncation methods.The resulting complicated heteroclinic structure of instability unveils all possible dynamic trajectories of nonlinear waves.Significantly,the latticed-Fermi-Pasta-Ulam recurrences on the modulated-wave background in NLSE are also investigated and their dynamic trajectories run along the Hamiltonian contours of the heteroclinic structure.It is demonstrated that there has much richer dynamic behavior,in contrast to the nonlinear waves reported before.This novel nonlinear wave promises to inject new vitality into the study of MI.

Survival Analysis of Patients Undergoing Intraoperative Contrast-enhanced Ultrasound in the Surgical Treatment of Malignant Glioma

Objective:Complete resection of malignant gliomas is often challenging.Our previous study indicated that intraoperative contrast-enhanced ultrasound(ICEUS)could aid in the detection of residual tumor remnants and the total removal of brain lesions.This study aimed to investigate the survival rates of patients undergoing resection with or without the use of ICEUS and to assess the impact of ICEUS on the prognosis of patients with malignant glioma.Methods:A total of 64 patients diagnosed with malignant glioma(WHO grade HI and IV)who underwent surgery between 2012 and 2018 were included.Among them,29 patients received ICEUS.The effects of ICEUS on overall survival(OS)and progression-free survival(PFS)of patients were evaluated.A quantitative analysis was performed to compare ICEUS parameters between gliomas and the surrounding tissues.Results:The ICEUS group showed better survival rates both in OS and PFS than the control group.The univariate analysis revealed that age,pathology and ICEUS were significant prognostic factors for PFS,with only age being a significant prognostic factor for OS.In multivariate analysis,age and ICEUS were significant prognostic factors for both OS and PFS.The quantitative analysis showed that the intensity and transit time of microbubbles reaching the tumors were significantly different from those of microbubbles reaching the surrounding tissue.Conclusion:ICEUS facilitates the identification of residual tumors.Age and ICEUS are prognostic factors for malignant glioma surgery,and use of ICEUS offers a better prognosis for patients with malignant glioma.

Multi-cohort comprehensive analysis unveiling the clinical value and therapeutic effect of GNAL in glioma

Clinical data indicates that glioma patients have poor treatment outcomes and clinical prognosis.The role of olfactory signaling pathway-related genes(OSPRGs)in glioma has not been fully elucidated.In this study,we aimed to investigate the role and relationship between OSPRGs and glioma.Univariate and multivariate Cox regression analyses were performed to assess the relationship between OSPRGs and the overall survival of glioma based on public cohorts,and the target gene(G Protein Subunit Alpha L,GNAL)was screened.The association of GNAL expression with clinicopathological characteristics,gene mutation landscape,tumor immune microenvironment(TIME),deoxyribonucleic acid(DNA)methylation,and naris-occlusion controlled genes(NOCGs)was performed.Immunohistochemistry was used to evaluate GNAL level in glioma.Further analysis was conducted to evaluate the drug sensitivity,immunotherapy response,and functional enrichment of GNAL.GNAL was an independent prognostic factor,and patients with low GNAL expression have a poor prognosis.Expression of GNAL was closely associated with clinicopathological characteristics,DNA methylation,and several immune-related pathways.Immune infiltration analysis indicated that GNAL levels were negatively correlated with immune scores.GNAL low-expression group showed efficacy with anti-PD-1 therapy.Ten compounds with significantly different half-maximal inhibitory concentration(IC50)values between the GNAL high and low-expression groups were identified.Furthermore,its expression was associated with several immune cells,immune-related genes,and NOCGs.The expression of GNAL is closely associated with clinicopathological characteristics,TIME,and the response to therapeutic interventions,highlighting its potential as a prognostic biomarker for glioma.

Prognostic significance of oligodendrocyte transcription factor 2 expression in glioma patients:A systematic review and metaanalys

BACKGROUND Gliomas are the most common primary central nervous system neoplasm.Despite recent advances in the diagnosis and treatment of gliomas,patient prognosis remains dismal.Therefore,it is imperative to identify novel diagnostic biomarkers and therapeutic targets of glioma to effectively improve treatment outcomes.AIM To investigate the association between oligodendrocyte transcription factor 2(Olig2)expression and the outcomes of glioma patients.METHODS The PubMed,Embase,Cochrane Library,and China National Knowledge Infrastructure databases were searched for studies(published up to October 2023)that investigated the relationship between Olig2 expression and prognosis of glioma patients.The quality of the studies was assessed using the Newcastle Ottawa Scale.Data analyses were performed using Stata Version 12.0 software.RESULTS A total of 1205 glioma patients from six studies were included in the metaanalysis.High Olig2 expression was associated with better outcomes in glioma patients[hazard ratio(HR):0.81;95%(confidence interval)CI:0.51-1.27;P=0.000].Furthermore,the results of subgroup meta-analysis showed that high expression of Olig2 was associated with poor overall survival in European patients(HR:1.34;95%CI:0.79-2.27)and better prognosis in Asian patients(HR:0.43;95%CI:0.22-0.84).The sensitivity analysis showed that no single study had a significant effect on pooled HR,and there was also no indication of publication bias according to the Egger’s and Begger’s P value test or funnel plot test.CONCLUSION High Olig2 expression may have a positive impact on the prognosis of glioma patients,and should be investigated further as a prognostic biomarker and therapeutic target for glioma.

Research Status of Fear of Cancer Recurrence in Breast Cancer Patients

Fear of disease progression is one of the most common psychological problems in the treatment of cancer patients. Early recognition and intervention can effectively control the level of fear of disease progression and improve the quality of life of patients. The present situation and influencing factors of FoP in breast cancer patients were reviewed in this paper, in order to provide reference for clinical research of breast cancer patients.

Role of glioma stem cells in promoting tumor chemo- and radioresistance: A systematic review of potential targeted treatments

BACKGROUND Gliomas pose a significant challenge to effective treatment despite advancements in chemotherapy and radiotherapy.Glioma stem cells(GSCs),a subset within tumors,contribute to resistance,tumor heterogeneity,and plasticity.Recent studies reveal GSCs’role in therapeutic resistance,driven by DNA repair mechanisms and dynamic transitions between cellular states.Resistance mechanisms can involve different cellular pathways,most of which have been recently reported in the literature.Despite progress,targeted therapeutic approaches lack consensus due to GSCs’high plasticity.AIM To analyze targeted therapies against GSC-mediated resistance to radio-and chemotherapy in gliomas,focusing on underlying mechanisms.METHODS A systematic search was conducted across major medical databases(PubMed,Embase,and Cochrane Library)up to September 30,2023.The search strategy utilized relevant Medical Subject Heading terms and keywords related to including“glioma stem cells”,“radiotherapy”,“chemotherapy”,“resistance”,and“targeted therapies”.Studies included in this review were publications focusing on targeted therapies against the molecular mechanism of GSC-mediated re-sistance to radiotherapy resistance(RTR).RESULTS In a comprehensive review of 66 studies on stem cell therapies for SCI,452 papers were initially identified,with 203 chosen for full-text analysis.Among them,201 were deemed eligible after excluding 168 for various reasons.The temporal breakdown of studies illustrates this trend:2005-2010(33.3%),2011-2015(36.4%),and 2016-2022(30.3%).Key GSC models,particularly U87(33.3%),U251(15.2%),and T98G(15.2%),emerge as significant in research,reflecting their representativeness of glioma characteristics.Pathway analysis indicates a focus on phosphoinositide 3-kinase/protein kinase B/mammalian target of rapamycin(mTOR)(27.3%)and Notch(12.1%)pathways,suggesting their crucial roles in resistance development.Targeted molecules with mTOR(18.2%),CHK1/2(15.2%),and ATP binding cassette G2(12.1%)as frequent targets underscore their importance in overcoming GSC-mediated resistance.Various therapeutic agents,notably RNA inhibitor/short hairpin RNA(27.3%),inhibitors(e.g.,LY294002,NVP-BEZ235)(24.2%),and monoclonal antibodies(e.g.,cetuximab)(9.1%),demonstrate versatility in targeted therapies.among 20 studies(60.6%),the most common effect on the chemotherapy resistance response is a reduction in temozolomide resistance(51.5%),followed by reductions in carmustine resistance(9.1%)and doxorubicin resistance(3.0%),while resistance to RTR is reduced in 42.4%of studies.CONCLUSION GSCs play a complex role in mediating radioresistance and chemoresistance,emphasizing the necessity for precision therapies that consider the heterogeneity within the GSC population and the dynamic tumor microenvironment to enhance outcomes for glioblastoma patients.