Periostin-mediated activation of NF-κB signaling promotes tumor progression and chemoresistance in glioblastoma

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 22, 2025

Language: Английский

---

Unraveling the noncoding RNA landscape in glioblastoma: from pathogenesis to precision therapeutics

Naunyn-Schmiedeberg s Archives of Pharmacology, Journal Year: 2024, Volume and Issue: 397(12), P. 9475 - 9502

Published: July 15, 2024

Language: Английский

---

Roles of miRNAs in regulating ovarian cancer stemness

Biochimica et Biophysica Acta (BBA) - Reviews on Cancer, Journal Year: 2024, Volume and Issue: 1879(6), P. 189191 - 189191

Published: Sept. 30, 2024

Language: Английский

---

Targeting NF-κB signaling cascades of glioblastoma by a natural benzophenone, garcinol, via in vitro and molecular docking approaches

Frontiers in Chemistry, Journal Year: 2024, Volume and Issue: 12

Published: Feb. 16, 2024

Glioblastoma multiforme (GBM) is regarded as the most aggressive form of brain tumor delineated by high cellular heterogeneity; it resistant to conventional therapeutic regimens. In this study, anti-cancer potential garcinol, a naturally derived benzophenone, was assessed against GBM. During analysis, we observed reduction in viability rat glioblastoma C6 cells at concentration 30 µM extract (p < 0.001). Exposure garcinol also induced nuclear fragmentation and condensation, evidenced DAPI-stained photomicrographs cells. The dissipation mitochondrial membrane dose-dependent fashion linked activation caspases. Furthermore, that mediated inhibition NF-κB 0.001) decreased expression genes associated with cell survival (Bcl-XL, Bcl-2, survivin) proliferation (cyclin D1). Moreover, showed interaction through some important amino acid residues, such Pro275, Trp258, Glu225, Gly259 during molecular docking analysis. Comparative analysis positive control (temozolomide) performed. We found apoptotic death via inhibiting activity cells, thus implicating plausible agent for

Language: Английский

---

Pathways and molecules for overcoming immunotolerance in metastatic gastrointestinal tumors

Frontiers in Immunology, Journal Year: 2024, Volume and Issue: 15

Published: April 5, 2024

Worldwide, gastrointestinal (GI) cancer is recognized as one of the leading malignancies diagnosed in both genders, with mortality largely attributed to metastatic dissemination. It has been identified that GI cancer, a variety signaling pathways and key molecules are modified, emergence an immunotolerance phenotype. Such modifications pivotal malignancy’s evasion immune detection. Thus, thorough analysis contributing cancer’s vital for advancing our comprehension propelling creation efficacious pharmacological treatments. In response this necessity, review illuminates selection groundbreaking cellular associated including Phosphoinositide 3-kinases/Akt, Janus kinase/Signal Transducer Activator Transcription 3, Nuclear Factor kappa-light-chain-enhancer activated B cells, Transforming Growth Factor-beta/Smad, Notch, Programmed Death-1/Programmed Death-Ligand 1, Wingless INT-1/beta-catenin-Interleukin 10. Additionally, we examine array pertinent like Indoleamine-pyrrole 2,3-dioxygenase, Human Leukocyte Antigen G/E, Glycoprotein A Repetitions Predominant, Clever-1, Interferon regulatory factor 8/Osteopontin, T-cell immunoglobulin mucin-domain containing-3, Carcinoembryonic antigen-related cell adhesion molecule Cell division control protein 42 homolog, caspases-1 -12.

Language: Английский

---

Single-cell and machine learning approaches uncover intrinsic immune-evasion genes in the prognosis of hepatocellular carcinoma

Liver Research, Journal Year: 2024, Volume and Issue: 8(4), P. 282 - 294

Published: Nov. 12, 2024

Hepatocellular carcinoma (HCC) is a tumor of high heterogeneity and complexity, which poses significant challenges to effective treatment patient prognosis because its immune evasion characteristics. To address these issues, single-cell technology machine learning methods have emerged as promising approach identify genes associated with escape in HCC. This study aimed develop prognostic risk score model for HCC by identifying intrinsic immune-evasion (IIEGs) through learning, providing insights into infiltration, enhancing predictive accuracy, facilitating the development more strategies. The utilized data from Cancer Genome Atlas database analyze gene expression profiles clinical related patients Various tools, including Human Protein Atlas, cBioPortal, analysis, Kaplan-Meier plot, were used IIEGs. Functional enrichment analysis was conducted explore potential mechanisms. In addition, abundance infiltrating cells microenvironment investigated using single-sample set CIBERSORT, xCELL, immunophenotype algorithms. glycosylphosphatidylinositol anchor attachment 1 (GPAA1) examined sample quantitative real-time polymerase chain reaction, Western blotting, immunohistochemical staining. Univariate Cox identified 63 IIEGs Using random forest, least absolute shrinkage selection operator regression support vector machine, consisting six (carbamoyl-phosphate synthetase 2, aspartate transcarbamylase, dihydroorotase (CAD), phosphatidylinositol glycan biosynthesis class U (PIGU), endoplasmic reticulum membrane protein complex subunit 3 (EMC3), centrosomal 55 (CEP55), autophagy-related 10 (ATG10), GPAA1) developed, validated pairs adjacent non-cancerous samples. Based on calculated median score, samples categorized high- low-risk groups. curve showed that high-risk group had worse compared group. Time-dependent receiver operating characteristic demonstrated accurate capability prognosis. Furthermore, infiltration positive correlation between 40 checkpoint well Th2 cells. A formulated IIEG signatures promise predicting diagnosed utilization novel index, together significance valuable biomarker immunotherapy HCC, provides benefit determining therapeutic strategies application.

Language: Английский

---

Evasion of the Immune System by Glioblastoma Multiforme: An Obstacle to Achieving Effective Therapies

Molecular and Cellular Biomedical Sciences, Journal Year: 2024, Volume and Issue: 8(2), P. 58 - 58

Published: July 9, 2024

Glioblastoma multiforme (GBM), a highly aggressive and malignant form of brain cancer, continues to pose significant challenge in the field oncology. Despite ongoing advancements treatment strategies, prognosis for GBM patients remains grim, with 5-year survival rate hovering around 5%. The management involves multiple therapeutic approaches, including immunotherapy, but optimal outcomes terms overcoming tumor recurrence resistance have not been achieved. A key factor contributing therapy progression is tumor's ability evade immune system, referred as escape from cancer. This phenomenon reflects cells' efforts adapt survive body's response. release expression molecules like TGF-ß, IL-10, PD-L1, NKG2DL by cells impact activation, recognition, elimination system. Additionally, involvement such MDSCs, Tregs, TAMs plays role inhibiting system's function, thereby promoting development cells. better comprehension GBM's escape, supported technological advances, will significantly aid future patients' treatment.Keywords: glioblastoma multiforme, GBM, cancer immunity, evasion, immunotherapy

Language: Английский

---

Clinical significance and potential mechanism of AEBP1 in glioblastoma

Journal of Neuropathology & Experimental Neurology, Journal Year: 2024, Volume and Issue: 83(12), P. 1020 - 1029

Published: Aug. 27, 2024

Abstract Glioblastomas (GBM), the most common primary brain tumor, lack accurate prognostic markers and have a poor prognosis. Our study was designed to identify effective biomarkers for GBM prognosis analysis development of precise treatments. Differentially expressed genes (DEGs) between patients controls were analyzed from Xena database GEPIA. Based on screened DEGs, univariate COX LASSO regression performed relevant associated with Genes highly in selected construct receiver operating characteristic enrichment constructed groups high low expression adipocyte enhancer-binding protein 1 (AEBP1). CIBERSORT, ssGSEA ESTIMATE used perform immune infiltration analysis. About 3297 DEGs identified using data database; 8 identified. AEBP1, which plays role neuronal differentiation development, positively correlated GBMs infiltration; its cancer is short overall survival advanced tumor staging. This suggests that AEBP1 could serve as marker may better response immunotherapy.

Language: Английский

---

Analysis of transcription profiles for the identification of master regulators as the key players in glioblastoma

Computational and Structural Biotechnology Journal, Journal Year: 2024, Volume and Issue: 23, P. 3559 - 3574

Published: Sept. 28, 2024

Language: Английский

---

Exploring the Mechanism of Sempervirine Inhibiting Glioblastoma Invasion Based on Network Pharmacology and Bioinformatics

Pharmaceuticals, Journal Year: 2024, Volume and Issue: 17(10), P. 1318 - 1318

Published: Oct. 2, 2024

: Invasion is an important characteristic of the malignancy glioblastoma (GBM) and a significant prognostic factor. Sempervirine (SPV), yohimbine-type alkaloid, has been proven to inhibit GBM cells proliferation in previous research found have potential effect anti-invasion, but its mechanism anti-invasion still unknown.

Language: Английский

---