Glioma stem cells and the occurrence of tumor blood vessels

Epithelial glioma is the most common brain cancer,accounting for 35.26%-60.69%of intracranial tumors with an average of 44.69%,and it remains the greatest challenge in the field of neurosurgery.The median survival time of patients with advanced glioma is only 12 to 18 months due to the characteristics of high aggression,and the therapeutic effect was poor though surgery,chemotherapy,and targeted drug therapy being treated.Because of the presence of heterogeneity and the differentiation disorder,only a small number of glioma cells are the source of tumor growth and metastasis,which are highly resistant to traditional treatments.They are deemed as the“seed”tumor cells as they could get rid of the effect of the treatment and reconstruct the organization of tumor.They are also termed as brain tumor stem cell(BTSC)or glioma stem cells(GSCs)since neural stem cells share similar features with them.Recent data reveal that they are directly related with invasion,angiogenesis,tolerance,chemotherapy,recurrence of glioma.Based on the research result by the team,the paper elaborates the characteristics of GSCs and the relationship with the tumor angiogenesis.

A Comparative Study Between Tumor Blood Vessels and Dynamic Contrast-enhanced MRI for Identifying Isocitrate Dehydrogenase Gene 1(IDH1)Mutation Status in Glioma

Objective Isocitrate dehydrogenase gene(IDH)mutations are associated with tumor angiogenesis and therefore play an important role in glioma management.This study compared the performance of tumor blood vessels counted from contrast-enhanced 3D brain volume(3D-BRAVO)sequence and dynamic contrast-enhanced(DCE)MRI in differentiating IDH1 status in gliomas.Methods Forty-four glioma patients[16 with IDH1 mutant-type(IDH1-MT),28 with IDH1 wild-type(IDH1-WT)]were retrospectively analyzed.A blood vessel entering a tumor was defined as an intratumoral vessel;a blood vessel adjacent to the edge of a tumor was defined as a peritumoral vessel.Combined vessels were defined as the sum of the intratumoral and peritumoral vessels.DCE-derived metrics of tumor were normalized to the contralateral normal-appearing white matter.Results Intratumoral,peritumoral,and combined tumor blood vessels were all significantly different between IDH1-MT and IDH1-WT gliomas,and the range of area under curves(AUCs)was 0.816–0.855.For DCE-derived parameters,cerebral blood volume,cerebral blood flow,mean transit time,and volume transfer constant were significantly different between IDH1-MT and IDH1-WT gliomas,and the range of AUCs was 0.703–0.756.Combined vessels possessed the best performance for identifying IDH1 mutations in gliomas(AUC:0.855,sensitivity:0.857,specificity:0.812,P<0.001).Conclusion The number of tumor blood vessels has comparable diagnostic performance with DCE-derived parameters for differentiating IDH1 mutations and can serve as a potential imaging biomarker to reflect IDH1 mutations in gliomas.

Frankincense myrrh attenuates hepatocellular carcinoma by regulating tumor blood vessel development through multiple epidermal growth factor receptor-mediated signaling pathways

BACKGROUND In traditional Chinese medicine(TCM),frankincense and myrrh are the main components of the antitumor drug Xihuang Pill.These compounds show anticancer activity in other biological systems.However,whether frankincense and/or myrrh can inhibit the occurrence of hepatocellular carcinoma(HCC)is unknown,and the potential molecular mechanism(s)has not yet been determined.AIM To predict and determine latent anti-HCC therapeutic targets and molecular mechanisms of frankincense and myrrh in vivo.METHODS In the present study,which was based on the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(http://tcmspw.com/tcmsp.php),Universal Protein database(http://www.uniprot.org),GeneCards:The Human Gene Database(http://www.genecards.org/)and Comparative Toxicogenomics Database(http://www.ctdbase.org/),the efficacy of and mechanism by which frankincense and myrrh act as anti-HCC compounds were predicted.The core prediction targets were screened by molecular docking.In vivo,SMMC-7721 human liver cancer cells were transplanted as xenografts into nude mice to establish a subcutaneous tumor model,and two doses of frankincense plus myrrh or one dose of an EGFR inhibitor was administered to these mice continuously for 14 d.The tumors were collected and evaluated:the tumor volume and growth rate were gauged to evaluate tumor growth;hematoxylineosin staining was performed to estimate histopathological changes;immunofluorescence(IF)was performed to detect the expression of CD31,α-SMA and collagen IV;transmission electron microscopy(TEM)was conducted to observe the morphological structure of vascular cells;enzyme-linked immunosorbent assay(ELISA)was performed to measure the levels of secreted HIF-1αand TNF-α;reverse transcription-polymerase chain reaction(RT-qPCR)was performed to measure the mRNA expression of HIF-1α,TNF-α,VEGF and MMP-9;and Western blot(WB)was performed to determine the levels of proteins expressed in the EGFR-mediated PI3K/Akt and MAPK signaling pathways.RESULTS The results of the network pharmacology analysis showed that there were 35 active components in the frankincense and myrrh extracts targeting 151 key targets.The molecular docking analysis showed that both boswellic acid and stigmasterol showed strong affinity for the targets,with the greatest affinity for EGFR.Frankincense and myrrh treatment may play a role in the treatment of HCC by regulating hypoxia responses and vascular system-related pathological processes,such as cytokine-receptor binding,and pathways,such as those involving serine/threonine protein kinase complexes and MAPK,HIF-1 and ErbB signaling cascades.The animal experiment results were verified.First,we found that,through frankincense and/or myrrh treatment,the volume of subcutaneously transplanted HCC tumors was significantly reduced,and the pathological morphology was attenuated.Then,IF and TEM showed that frankincense and/or myrrh treatment reduced CD31 and collagen IV expression,increased the coverage of perivascular cells,tightened the connection between cells,and improved the shape of blood vessels.In addition,ELISA,RT-qPCR and WB analyses showed that frankincense and/or myrrh treatment inhibited the levels of hypoxia-inducible factors,inflammatory factors and angiogenesis-related factors,namely,HIF-1α,TNF-α,VEGF and MMP-9.Furthermore,mechanistic experiments illustrated that the effect of frankincense plus myrrh treatment was similar to that of an EGFR inhibitor with regard to controlling EGFR activation,thereby inhibiting the phosphorylation activity of its downstream targets:the PI3K/Akt and MAPK(ERK,p38 and JNK)pathways.CONCLUSION In summary,frankincense and myrrh treatment targets tumor blood vessels to exert anti-HCC effects via EGFR-activated PI3K/Akt and MAPK signaling pathways,highlighting the potential of this dual TCM compound as an anti-HCC candidate.

Predictive value of a constructed artificial neural network model for microvascular invasion in hepatocellular carcinoma:A retrospective study

BACKGROUND Microvascular invasion(MVI)is a significant risk factor for recurrence and metastasis following hepatocellular carcinoma(HCC)surgery.Currently,there is a paucity of preoperative evaluation approaches for MVI.AIM To investigate the predictive value of texture features and radiological signs based on multiparametric magnetic resonance imaging in the non-invasive preoperative prediction of MVI in HCC.METHODS Clinical data from 97 HCC patients were retrospectively collected from January 2019 to July 2022 at our hospital.Patients were classified into two groups:MVI-positive(n=57)and MVI-negative(n=40),based on postoperative pathological results.The correlation between relevant radiological signs and MVI status was analyzed.MaZda4.6 software and the mutual information method were employed to identify the top 10 dominant texture features,which were combined with radiological signs to construct artificial neural network(ANN)models for MVI prediction.The predictive performance of the ANN models was evaluated using area under the curve,sensitivity,and specificity.ANN models with relatively high predictive performance were screened using the DeLong test,and the regression model of multilayer feedforward ANN with backpropagation and error backpropagation learning method was used to evaluate the models’stability.RESULTS The absence of a pseudocapsule,an incomplete pseudocapsule,and the presence of tumor blood vessels were identified as independent predictors of HCC MVI.The ANN model constructed using the dominant features of the combined group(pseudocapsule status+tumor blood vessels+arterial phase+venous phase)demonstrated the best predictive performance for MVI status and was found to be automated,highly operable,and very stable.CONCLUSION The ANN model constructed using the dominant features of the combined group can be recommended as a noninvasive method for preoperative prediction of HCC MVI status.