Characterization and prognostic of CD8 + TIM3 + CD101 + T cells in glioblastoma multiforme

Cell & Bioscience, Journal Year: 2025, Volume and Issue: 15(1)

Published: May 15, 2025

Abstract Background Glioblastoma multiforme (GBM) is a pervasive and aggressive malignant brain tumor. In the tumor immune microenvironment, CD8 + TIM3 CD101 T cells (CCT cells) play pivotal role in progression evasion. This study aimed to characterize differentially expressed genes (DEGs) CCT cells, establish prognostic model for GBM, explore clinical implications. Methods Analysis of data from TCGA, CGGA, GEO databases included whole-genome expression profiles, data, single nucleotide mutations, single-cell RNA sequencing. DEGs were identified, cell trajectories constructed using Seurat, Monocle 2, CellChat packages. Functional enrichment analysis was conducted with clusterProfiler, developed. Immune infiltration drug sensitivity analyses performed evaluate therapeutic Results Eight distinct types distinguished, encompassing macrophages, neurons, mural endothelial oligodendrocytes, fibroblasts, B cells. Comparative revealed differences these between GBM samples new adjuvant therapy initial diagnosis controls. Pseudotime indicated CD101-T as precursors unveiling unique gene patterns during this transition. The model, incorporating 22 features via LASSO regression, demonstrated strong predictive ability through Receiver Operating Characteristic (ROC) curves. 28 high-risk low-risk groups, providing insights into GBM’s evasion mechanisms. Drug proposed potential strategies patients. Conclusion offers an in-depth understanding introducing novel suggesting promising approaches.

Language: Английский

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Overexpression of COX7A1 Promotes the Resistance of Gastric Cancer to Oxaliplatin and Weakens the Efficacy of Immunotherapy

Laboratory Investigation, Journal Year: 2024, Volume and Issue: 104(8), P. 102090 - 102090

Published: June 1, 2024

Gastric cancer (GC) is one of the most common clinical malignant tumors worldwide, with high morbidity and mortality. Presently, overall response rate to immunotherapy low, current methods for predicting prognosis GC are not optimal. Therefore, novel biomarkers accuracy, efficiency, stability, performance ratio wide application needed. Based on public data sets, Chemotherapy Cohort Immunotherapy from Sun Yat-sen University Cancer Center, a series bioinformatics analyses, such as differential expression analysis, survival drug sensitivity prediction, enrichment tumor immune dysfunction exclusion (TIDE) single-sample gene set analysis (ssGSEA), stemness index calculation, cell infiltration were performed screening preliminary exploration. Immunohistochemical staining in vitro experiments further verification. Overexpression COX7A1 promoted resistance cells Oxaliplatin. may induce escape by regulating number fibroblasts their cellular communication cells. In summary, measuring levels clinic be useful predict patients, degree chemotherapy efficacy immunotherapy.

Language: Английский

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Identification of Immune Infiltrating Cell-Related Biomarkers in Early Gastric Cancer Progression

Technology in Cancer Research & Treatment, Journal Year: 2024, Volume and Issue: 23

Published: Jan. 1, 2024

Objectives Gastric cancer (GC) is one of the most prevalent malignancies worldwide, and early detection crucial for improving patient survival rates. We aimed to identify immune infiltrating cell-related biomarkers in gastric (EGC) progression. Methods The GSE55696 GSE130823 datasets with low-grade intraepithelial neoplasia (LGIN), high-grade (HGIN), EGC samples were downloaded from Gene Expression Omnibus database perform an observational study. Immune infiltration analysis was performed by single sample gene set enrichment Estimation STromal cells MAlignant Tumor tissues using data. Weighted co-expression network used explore modules genes, further on these genes. A protein-protein interaction (PPI) genes constructed associated Screened hub validated rank sum test reverse transcription quantitative polymerase chain reaction. Results scores significantly elevated compared LGIN HGIN samples. green-yellow module exhibited strongest correlation both score disease 87 within this chemokine signaling pathways, PI3K-Akt leukocyte transendothelial migration, Ras pathways. Through PPI analysis, identified protein tyrosine phosphatase receptor-type C (PTPRC), pleckstrin, CD53, CD48, lymphocyte cytosolic 1 (LCP1), hematopoietic cell-specific Lyn substrate 1, IKAROS Family Zinc Finger Bruton kinase, Vav guanine nucleotide exchange factor 1. Notably, LCP1, PTPRC showed high expression levels samples, remaining demonstrating a similar trend. Conclusion This study 9 that may be actively involved progression serve as potential targets GC diagnosis treatment.

Language: Английский

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Epigenetic Biomarkers as a New Diagnostic Tool in Bladder Cancer—From Early Detection to Prognosis

Journal of Clinical Medicine, Journal Year: 2024, Volume and Issue: 13(23), P. 7159 - 7159

Published: Nov. 26, 2024

Bladder cancer (BC) currently ranks as the 9th most common worldwide. It is characterised by very high rates of recurrence and metastasis. Most cases BC are urothelial origin, due to its ability penetrate muscle tissue, divided into non-muscle-invasive (NMIBC) muscle-invasive (MIBC). The current diagnosis still based primarily on invasive cystoscopy, which an expensive method that carries a risk various complications. Urine sediment cytology often used complementary test, biggest drawback low sensitivity concerning detection at early stages, crucial for prompt implementation appropriate treatment. Therefore, there great need develop innovative diagnostic techniques would enable accurate prognosis BC. Great potential in this regard shown epigenetic changes, possible observe long before onset clinical symptoms disease. In addition, these changes can be detected readily available biological material, such urine or blood, indicating possibility constructing non-invasive tests. Over past few years, many studies have emerged using alterations novel prognostic biomarkers This review provides update promising DNA methylation expression levels selected non-coding RNAs (ncRNAs), taking account latest literature data.

Language: Английский

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