Life Sciences, Journal Year: 2024, Volume and Issue: unknown, P. 123241 - 123241
Published: Nov. 1, 2024
Language: Английский
Life Sciences, Journal Year: 2024, Volume and Issue: unknown, P. 123241 - 123241
Published: Nov. 1, 2024
Language: Английский
Frontiers in Molecular Neuroscience, Journal Year: 2023, Volume and Issue: 16
Published: July 12, 2023
Background Gliomas are the most common primary tumors of central nervous system, with high heterogeneity and highly variable survival rates. Accurate classification prognostic assessment key to selection treatment strategies. One hallmark tumor is resistance cell death. PANoptosis, a novel mode programmed death, has been frequently reported be involved in innate immunity associated pathogen infection played an important role cancers. However, intrinsic association PANoptosis glioma requires deeper investigation. Methods The genetics expression 17 PANoptosome-related genes were analyzed glioma. Based on these genes, patients divided into two subtypes by consensus clustering analysis. After obtaining differentially expressed between clusters, model called PANopotic score was constructed after univariate Cox regression, LASSO multivariate regression. 5 included also examined qPCR our cohort. differences, clinical features, TME infiltration status, immune characteristics PANoptotic clusters groups compared, some which even extended pan-cancer levels. Results Gene mutations, CNVs altered gene exist gliomas. Two significantly different prognosis, characteristics, mutation landscapes. had samples group inclined show unfavorable lower purity, worse molecular genetic signature, distinct related immunotherapy. considered as independent factor for showed superior efficacy over several models. nomogram potential application. associations reflected at level. Conclusion Molecular based proposed anti-tumor immunity. subtypes, immunotherapy revealed.
Language: Английский
Citations
9Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)
Published: Oct. 20, 2023
Abstract Cell death-related genes indicate prognosis in cancer patients. PANoptosis is a newly observed form of cell death that researchers have linked to and antitumor immunity. Even so, its significance lung adenocarcinomas (LUADs) has yet be elucidated. We extracted analyzed data on mRNA gene expression clinical information from public databases systematic manner. These were utilized construct reliable risk prediction model for six regulators PANoptosis. The Gene Expression Omnibus (GEO) database validated with characteristics. LUAD patients could accurately estimated by the six-gene-based model: NLR family CARD domain-containing protein 4 ( NLRC4 ) , FAS-associated domain FADD Tumor necrosis factor receptor type 1-associated DEATH TRADD Receptor-interacting serine/threonine-protein kinase 1 RIPK1 Proline-serine-threonine phosphatase-interacting 2 PSTPIP2 ), Mixed lineage domain-like MLKL ). Group higher Cluster indicated poor as well reduced immune infiltrate molecules human leukocyte antigen. Distinct PANoptosis-related (PRGs) cells was verified using quantitative reverse transcription polymerase chain reaction (qRT-PCR). Furthermore, we evaluated relationship between PRGs somatic mutations, tumor dysfunction exclusion, stemness indices, infiltration. Using signature, conducted analyses including nomogram construction, stratification, small-molecule drug response, chemotherapeutic response.
Language: Английский
Citations
5Stem Cell Research & Therapy, Journal Year: 2024, Volume and Issue: 15(1)
Published: Oct. 8, 2024
Mesenchymal stromal cells (MSCs) are recognized for their potential in regenerative medicine, attributed to multipotent differentiation capabilities and immunomodulatory properties. Despite this potential, the classification detailed characterization of MSCs, especially those derived from specific tissues like pancreas, remains challenging leading a proliferation terminology literature. This study aims address these challenges by providing thorough human pancreatic islets-derived mesenchymal (hPD-MSCs).
Language: Английский
Citations
1Cellular Signalling, Journal Year: 2024, Volume and Issue: 125, P. 111497 - 111497
Published: Nov. 1, 2024
Language: Английский
Citations
1Life Sciences, Journal Year: 2024, Volume and Issue: unknown, P. 123241 - 123241
Published: Nov. 1, 2024
Language: Английский
Citations
1