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Inflammatory cytokines, interleukin-1 beta and tumor necrosis factor-alpha, upregulated in glioblastoma multiforme, raise the levels of CRYAB in exosomes secreted by U373 glioma cells.

ABSTRACT: In the brain, levels of inflammatory cytokines, interleukin-1 beta (IL-1?) and tumor necrosis factor-alpha (TNF-?), are elevated under traumatic brain injury, neuroinflammatory conditions and glioblastoma multiforme (GBM). In GBM, the levels of small heat shock protein, CRYAB (HspB5) are also reported to be elevated, where it has been shown to exert anti-apoptotic activity. Interestingly, CRYAB is secreted via exosomes by various cells. In order to understand the relation between inflammatory cytokines and CRYAB, U373 glioma cells, were stimulated with proinflammatory cytokines, IL-1? and TNF-?, and their effect on CRYAB levels in cells and secreted exosomes was studied. Our results show that U373 cells produce and secrete CRYAB via exosomes and that stimulation with IL-1? and TNF-? significantly increase the levels of CRYAB in not only the cells but also in the secreted exosomes. In addition, cytokine stimulation of U373 cells brings about changes in the secreted exosomal proteome, many of which are involved in cancer progression.

SUBMITTER: Kore RA

PROVIDER: S-EPMC4278587 | biostudies-other | 2014 Oct

REPOSITORIES: biostudies-other

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Inflammatory cytokines, interleukin-1 beta and tumor necrosis factor-alpha, upregulated in glioblastoma multiforme, raise the levels of CRYAB in exosomes secreted by U373 glioma cells.

Kore Rajshekhar A RA Abraham Edathara C EC

Biochemical and biophysical research communications 20140926 3

In the brain, levels of inflammatory cytokines, interleukin-1 beta (IL-1β) and tumor necrosis factor-alpha (TNF-α), are elevated under traumatic brain injury, neuroinflammatory conditions and glioblastoma multiforme (GBM). In GBM, the levels of small heat shock protein, CRYAB (HspB5) are also reported to be elevated, where it has been shown to exert anti-apoptotic activity. Interestingly, CRYAB is secreted via exosomes by various cells. In order to understand the relation between inflammatory cy ...[more]

PMID: 25261722

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Project description:Introduction: Traditional classification that divided gliomas into glioblastoma multiformes (GBM) and lower grade gliomas (LGG) based on pathological morphology has been challenged over the past decade by improvements in molecular stratification, however, the reproducibility and diagnostic accuracy of glioma classification still remains poor. This study aimed to establish and validate a novel nomogram for the preoperative diagnosis of GBM by using integrated data combined with feasible baseline characteristics and preoperative tests. Material and method: The models were established in a primary cohort that included 259 glioma patients who had undergone surgical resection and were pathologically diagnosed from March 2014 to May 2016 in the First Affiliated Hospital of Xi'an Jiaotong University. The preoperative data were used to construct three models by the best subset regression, the forward stepwise regression, and the least absolute shrinkage and selection operator, and to furthermore establish the nomogram among those models. The assessment of nomogram was carried out by the discrimination and calibration in internal cohorts and external cohorts. Results and discussion: Out of all three models, model 2 contained eight clinical-related variables, which exhibited the minimum Akaike Information Criterion (173.71) and maximum concordance index (0.894). Compared with the other two models, the integrated discrimination index for model 2 was significantly improved, indicating that the nomogram obtained from model 2 was the most appropriate model. Likewise, the nomogram showed great calibration and significant clinical benefit according to calibration curves and the decision curve analysis. Conclusion: In conclusion, our study showed a novel preoperative model that incorporated clinically relevant variables and imaging features with laboratory data that could be used for preoperative prediction in glioma patients, thus providing more reliable evidence for surgical decision-making.

Dataset Information

Inflammatory cytokines, interleukin-1 beta and tumor necrosis factor-alpha, upregulated in glioblastoma multiforme, raise the levels of CRYAB in exosomes secreted by U373 glioma cells.

Publications

Inflammatory cytokines, interleukin-1 beta and tumor necrosis factor-alpha, upregulated in glioblastoma multiforme, raise the levels of CRYAB in exosomes secreted by U373 glioma cells.

Similar Datasets

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