CARD16 restores tumorigenesis and restraints apoptosis in glioma cells Via FOXO1/TRAIL axis DOI Creative Commons

Ruoheng Xuan,

Tianyu Hu,

Lingshan Cai

et al.

Cell Death and Disease, Journal Year: 2024, Volume and Issue: 15(11)

Published: Nov. 8, 2024

A hallmark of glioma cells, particularly glioblastoma multiforme (GBM) is their resistance to apoptosis. Accumulating evidences has demonstrated that CARD16, a caspase recruitment domain (CARD) only protein, enhances both anti-apoptotic and tumorigenic properties. Nevertheless, there limited understanding the expression functional role CARD16 in glioma. This study seeks investigate, through silico analysis clinical specimens, as potential tumor promoter Functional assays molecular studies revealed promotes tumorigenesis suppresses apoptosis cells. Moreover, knockdown FOXO1/TRAIL axis GBM Additionally, FOXO1 downregulation cells restores proliferation reduces Further investigation elevated P21 inhibits CDK2-mediated phosphorylation ubiquitination CARD16-knockdown Collectively, these findings suggest tumor-promoting via downregulating axis, suppressing TRAIL-induced The gene presents significant for prognostic prediction advances innovative apoptotic therapeutics.

Language: Английский

Forkhead box D subfamily genes in colorectal cancer: potential biomarkers and therapeutic targets DOI Creative Commons
Ying Chen,

Haiyan Qiao,

Ruiqi Zhong

et al.

PeerJ, Journal Year: 2024, Volume and Issue: 12, P. e18406 - e18406

Published: Oct. 29, 2024

The forkhead box (FOX) family members regulate gene transcription and expression. FOX various biological processes, such as cell proliferation tumorigenesis. FOXD, a protein subfamily, is associated with poor prognosis for cancers. However, the potential clinical value of FOXD subfamily in colorectal cancer (CRC) has not yet been elucidated. Therefore, this study, we aimed to determine role CRC development.

Language: Английский

Citations

1
Exploring glioma heterogeneity through omics networks: from gene network discovery to causal insights and patient stratification DOI Creative Commons

Nina Kastendiek,

Roberta Coletti, Thilo Groß

et al.

BioData Mining, Journal Year: 2024, Volume and Issue: 17(1)

Published: Dec. 18, 2024

Gliomas are primary malignant brain tumors with a typically poor prognosis, exhibiting significant heterogeneity across different cancer types. Each glioma type possesses distinct molecular characteristics determining patient prognosis and therapeutic options. This study aims to explore the complexity of gliomas at transcriptome level, employing comprehensive approach grounded in network discovery. The graphical lasso method was used estimate gene co-expression for each from transcriptomics dataset. Causality subsequently inferred correlation networks by estimating Jacobian matrix. were then analyzed importance using centrality measures modularity detection, leading selection genes that might play an important role disease. To pathways biological functions these involved in, KEGG Gene Ontology (GO) enrichment analyses on disclosed sets performed, highlighting significance selected several relevent GO terms. Spectral clustering based similarity applied stratify patients into groups similar assess whether resulting clusters align diagnosed type. results presented highlight ability proposed methodology uncover relevant associated intertumoral heterogeneity. Further investigation encompass validation putative biomarkers disclosed.

Language: Английский

Citations

1
A Mimicry-Based Strategy Between Human and Commensal Antigens for the Development of a New Family of Immune Therapies for Cancer DOI Creative Commons

Alice Talpin,

Ana Maia,

Jean-Marie Carpier

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: June 1, 2024

Abstract Peptide vaccines have emerged as a promising strategy for cancer immunotherapy, yet often lack of strong, specific and sustained immune responses against tumor antigens. To achieve robust response, the effective selection tumour antigens is crucial. While neoantigens trigger potent responses, their use suffers from patient specificity rarity in low-mutational tumors. Alternatively, immunogenic potential tumor-associated (TAAs) limited by central tolerance. Molecular mimicry T cell cross-reactivity proposed mechanism to cell-mediated antitumor response. Although molecular between pathogens has been described, benefits exploiting this with commensal bacterial immunity not thoroughly investigated despite strong evidence that composition human microbiota significantly influences competency. Our new approach called OncoMimics™, which uses tumoral induce cross-reactive cytotoxic cells cells. In preclinical studies, vaccination OncoMimic™ peptides (OMPs) led expansion CD8 + reacting homologous antigen elicits activity OMPs are efficiently recognized prevalent population within peripheral blood mononuclear healthy individuals. An ongoing clinical trial ( NCT04116658 ) using OncoMimics™ patients glioblastoma demonstrates early, durable, pronounced memory persistence. By overcoming current vaccine limitations, constitutes enhancing improving outcomes. Statement Significance This study introduces peptide-based immunotherapy leveraging robust, antigens, showing early results an

Language: Английский

Citations

0
Exploring glioma heterogeneity through omics networks: from gene network discovery to causal insights and patient stratification DOI

Nina Kastendiek,

Roberta Coletti, Thilo Groß

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: July 3, 2024

Abstract Gliomas are primary malignant brain tumors with a typically poor prognosis, exhibiting significant heterogeneity across different cancer types. Each glioma type possesses distinct molecular characteristics determining patient prognosis and therapeutic options. This study aims to explore the complexity of gliomas at transcriptome level, employing comprehensive approach grounded in network discovery. The graphical lasso method was used estimate gene co-expression for each from transcriptomics dataset. Causality subsequently inferred correlation networks by estimating Jacobian matrix. were then analyzed importance using centrality measures modularity detection, leading selection genes that might play an important role disease. Spectral clustering based on similarity applied stratify patients into groups similar assess whether resulting clusters align diagnosed type. results presented highlight ability proposed methodology uncover relevant associated intertumoral heterogeneity. Further investigation encompass biological validation putative biomarkers disclosed.

Language: Английский

Citations

0
CARD16 restores tumorigenesis and restraints apoptosis in glioma cells Via FOXO1/TRAIL axis DOI Creative Commons

Ruoheng Xuan,

Tianyu Hu,

Lingshan Cai

et al.

Cell Death and Disease, Journal Year: 2024, Volume and Issue: 15(11)

Published: Nov. 8, 2024

A hallmark of glioma cells, particularly glioblastoma multiforme (GBM) is their resistance to apoptosis. Accumulating evidences has demonstrated that CARD16, a caspase recruitment domain (CARD) only protein, enhances both anti-apoptotic and tumorigenic properties. Nevertheless, there limited understanding the expression functional role CARD16 in glioma. This study seeks investigate, through silico analysis clinical specimens, as potential tumor promoter Functional assays molecular studies revealed promotes tumorigenesis suppresses apoptosis cells. Moreover, knockdown FOXO1/TRAIL axis GBM Additionally, FOXO1 downregulation cells restores proliferation reduces Further investigation elevated P21 inhibits CDK2-mediated phosphorylation ubiquitination CARD16-knockdown Collectively, these findings suggest tumor-promoting via downregulating axis, suppressing TRAIL-induced The gene presents significant for prognostic prediction advances innovative apoptotic therapeutics.

Language: Английский

Citations

0