Low Transforming Growth Factor–β3 Expression Predicts Tumor Malignancy in Meningiomas

Meningioma-Brain Crosstalk: A Scoping Review

Background: In recent years, it has become evident that the tumoral microenvironment (TME) plays a key role in the pathogenesis of various cancers. In meningiomas, however, the TME is poorly understood, and it is unknown if glia cells contribute to meningioma growth and behaviour. Objective: This scoping review investigates if the literature describes and substantiates tumour-brain crosstalk in meningiomas and summarises the current evidence regarding the role of the brain parenchyma in the pathogenesis of meningiomas. Methods: We identified studies through the electronic database PubMed. Articles describing glia cells and cytokines/chemokines in meningiomas were selected and reviewed. Results: Monocytes were detected as the most abundant infiltrating immune cells in meningiomas. Only brain-invasive meningiomas elicited a monocytic response at the tumour-brain interface. The expression of cytokines/chemokines in meningiomas has been studied to some extent, and some of them form autocrine loops in the tumour cells. Paracrine interactions between tumour cells and glia cells have not been explored. Conclusion: It is unknown to what extent meningiomas elicit an immune response in the brain parenchyma. We speculate that tumour-brain crosstalk might only be relevant in cases of invasive meningiomas that disrupt the pial-glial basement membrane.

Identification of immune-related genes as prognostic factors in bladder cancer

Bladder cancer is one of the most common cancers worldwide. The immune response and immune cell infiltration play crucial roles in tumour progression. Immunotherapy has delivered breakthrough achievements in the past decade in bladder cancer. Differentially expressed genes and immune-related genes (DEIRGs) were identified by using the edgeR package. Gene ontology annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed for functional enrichment analysis of DEIRGs. Survival-associated IRGs were identified by univariate Cox regression analysis. A prognostic model was established by univariate COX regression analysis, and verified by a validation prognostic model based on the GEO database. Patients were divided into high-risk and low-risk groups based on the median risk score value for immune cell infiltration and clinicopathological analyses. A regulatory network of survival-associated IRGs and potential transcription factors was constructed to investigate the potential regulatory mechanisms of survival-associated IRGs. Nomogram and ROC curve to verify the accuracy of the model. Quantitative real-time PCR was performed to validate the expression of relevant key genes in the prognostic model. A total of 259 differentially expressed IRGs were identified in the present study. KEGG pathway analysis of IRGs showed that the “cytokine-cytokine receptor interaction” pathway was the most significantly enriched pathway. Thirteen survival-associated IRGs were selected to establish a prognostic index for bladder cancer. In both TCGA prognostic model and GEO validation model, patients with high riskscore had worse prognosis compared to low riskscore group. A high infiltration level of macrophages was observed in high-risk patients. OGN, ELN, ANXA6, ILK and TGFB3 were identified as hub survival-associated IRGs in the network. EBF1, WWTR1, GATA6, MYH11, and MEF2C were involved in the transcriptional regulation of these survival-associated hub IRGs. The present study identified several survival-associated IRGs of clinical significance and established a prognostic index for bladder cancer outcome evaluation for the first time.

Low Expression of Phosphatase and Tensin Homolog and High Expression of Ki-67 as Risk Factors of Prognosis in Cranial Meningiomas

OBJECTIVE

To investigate the expression characteristics, correlations with clinical factors, and prognostic values of phosphatase and tensin homolog (PTEN) and Ki-67 in cranial meningiomas.

METHODS

The expression of PTEN and Ki-67 at the mRNA level was analyzed in 34 frozen meningiomas. Clinical data collection, follow-up, correlations, and survival analyses were performed.

RESULTS

Twenty-two men and 12 women were included in the study, with a median age of 52.72 ± 11.72 years on admission. The average expression levels of PTEN and Ki-67 were 2.71 ± 1.73 and 0.50 ± 0.57, respectively. The World Health Organization grade III meningiomas exhibited significantly lower levels of PTEN (P = 0.037), whereas grade I meningiomas expressed significantly lower levels of Ki-67 (P = 0.001). For recurrent lesions, the mean Ki-67 expression level was 0.97 ± 0.76, which was significantly greater than that of primary meningiomas with a mean value of 0.25 ± 0.13 (P < 0.001). The Ki-67 expression level was positively correlated with the tumor volume (P < 0.01) and negatively correlated with preoperative Karnofsky Performance Status scale (KPS, P < 0.01), postoperative KPS (P < 0.05), and follow-up KPS (P < 0.01). However, the PTEN expression level did not correlate with these variables. Based on the multivariate Cox analysis, Ki-67 expression level (P < 0.001, hazard ratio [HR] 8.16, 95% confidence interval [CI] 2.86-23.29), and PTEN expression level (P = 0.018, HR 0.47, 95% CI 0.25-0.88) were independent prognostic factors for tumor recurrence. Ki-67 (P = 0.001, HR 19.73, 95% CI 3.65-106.61) and PTEN expression levels (P = 0.024, HR 0.36, 95% CI 0.15-0.88) were also independent prognostic factors for mortality.

CONCLUSIONS

A low PTEN expression and a high Ki-67 expression could predict malignancy in cranial meningiomas.