Background/aims: Transforming growth factor beta-induced protein (TGFBI) is an extracellular matrix protein induced by TGF-β. Previous studies have reported that the abnormal expression of TGFBI is related to the occurrence and development of some types of cancers, while the role of TGFBI in glioma is uncertain.
Methods: The association between TGFBI expression and the prognosis of patients with glioma was analyzed based on data obtained from The Cancer Genome Atlas database. TGFBI expression was analyzed in 3 normal human brains and 57 cases of human gliomas by immunohistochemistry followed by an evaluation of the relationships between TGFBI expression and clinic-pathological features. Furthermore, the RNA interference plasmid pSUPER-shTGFBI was constructed and transfected into U87 and U251 cells to explore the effect of short hairpin RNA against TGFBI (shTGFBI) on cell proliferation, migration, invasion and apoptosis. Western blot analysis was performed to examine the expression of proteins related to apoptosis and proteins in the PI3K/Akt signaling pathway.
Results: High TGFBI expression was found to be associated with poor prognosis in patients with glioblastoma multiforme. Immunohistochemistry showed that TGFBI expression was significantly higher in glioma tissue than in normal human brain tissues. The expression level of TGFBI showed no significant correlation with age, sex, lymph-node metastasis, or pathological grade. sh-TGFBI could inhibit proliferation, invasion and migration and induce apoptosis in U87 and U251 cells in vitro. Furthermore, the phosphorylation levels of AKT and mTOR declined significantly in sh-TGFBI transfected U81 and U251 cells when compared with control.
Conclusion: TGFBI was up-regulated in glioma cells and played a promoting role in the growth and motility of U87 and U251 cells. These results suggested that TGFBI has the potential to be a diagnostic marker and to serve as a target for the treatment of gliomas.
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http://dx.doi.org/10.1159/000493293 | DOI Listing |
Cancer Med
December 2024
Department of Pathology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Background: The pressing need for reliable biomarkers in colorectal cancer (CRC) diagnosis and prognosis is a major global health concern. Current diagnostic methods rely heavily on invasive procedures like colonoscopy, and existing biomarkers such as Carbohydrate Antigen 19-9 (CA19-9) and Carcinoembryonic Antigen (CEA) exhibit limitations in accuracy and specificity.
Aims: This study aims to identify and validate novel biomarkers that can enhance the early detection and diagnostic precision of CRC while overcoming the shortcomings of conventional biomarkers.
Iran J Public Health
October 2024
Department of Cardiothoracic Surgery, The Sixth Affiliated Hospital of Nantong University, Yancheng Third People's Hospital, Yancheng, Jiangsu 224000, China.
BMC Neurol
October 2024
Department of Neurosurgery, First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
Background: Nicotinamide and tryptophan metabolism play important roles in regulating tumor synthesis metabolism and signal transduction functions. However, their comprehensive impact on the prognosis and the tumor immune microenvironment of glioma is still unclear. The purpose of this study was to investigate the association of nicotinamide and tryptophan metabolism with prognosis and immune status of gliomas and to develop relevant models for predicting prognosis and sensitivity to immunotherapy in gliomas.
View Article and Find Full Text PDFbioRxiv
October 2024
Department of Pathology, Beth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, Massachusetts, 02115, USA.
Cancer Cell Int
October 2024
Department of Neurosurgery, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Background: As part of stress-triggered molecules, immediate early response 3 (IER3) dysregulation has been reported to sustain pro-oncogenic pathways and precede malignant transformation. However, the role of IER3 in glioma pathology is ill-defined.
Methods: Immunohistochemistry (IHC) assay and publicly available glioma datasets were used to calculate the IER3 expression level in glioma.
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