Artificial intelligence-based radiogenomics reveals the potential immunoregulatory role of COL22A1 in glioma and its induced autoimmune encephalitis

Frontiers in Immunology, Journal Year: 2025, Volume and Issue: 16

Published: March 6, 2025

Background The tumor microenvironment plays a crucial role in the progression of both glioma and glioma-induced autoimmune encephalitis. However, there remains significant lack effective therapeutic targets for these diseases. Method We collected 54 CT images patients encephalitis patients, respectively. Radiomics features were extracted from tumors regions using Python, followed by dimensionality reduction via random forest lasso regression, construction radiomics-based risk scores. Genomic data matched with clinical information analyzed to identify key prognostic genes significantly associated Gene expression was validated immunohistochemistry our samples. Immune infiltration evaluated five algorithms (MCP-counter, EPIC, TIMER, QUANT IPS). association between hub immune checkpoint markers as well immunoregulation-related also Spearman correlation. Results identified 980 radiomics patient selected four through regression build score. COL22A1 strongly correlated score gene. higher glioblastoma tissues cell lines, factors such age, WHO grade, IDH mutation status. analysis indicated associations diverse stromal populations, including CD8 + T cells, macrophages, CAFs. positively checkpoints immune-regulated genes. Conclusion Our study highlights critical gliomas glioma-Induced Autoimmune Encephalitis, demonstrating its strong poor prognosis involvement regulation.

Language: Английский

---

MGAT4EP promotes tumor progression and serves as a prognostic marker for breast cancer

Cancer Biology & Therapy, Journal Year: 2025, Volume and Issue: 26(1)

Published: March 11, 2025

Breast cancer remains a global health challenge with varied prognoses despite treatment advancements. Therefore, this study explores the pseudogene MGAT4EP as potential biomarker and therapeutic target in breast cancer. Using TCGA data bioinformatics, was identified significantly overexpressed tissues associated poor prognosis. Multivariate Cox regression confirmed important prognostic factor. A clinical prediction model based on expression showed high accuracy for 1-, 3-, 5-year survival rates translated into nomogram application. Functional studies revealed that silencing via siRNA promoted apoptosis, inhibited migration invasion cells. RNA-seq, GSEA, GO analyses linked to apoptosis focal adhesion pathways. Notably, knock down of suppressed tumor growth metastasis xenograft lung models. Taken together, these findings establish an attractive metastatic provide promising treatment.

Language: Английский

---

Glucagon-like peptide 1 receptor agonists and cancer risk: advancing precision medicine through mechanistic understanding and clinical evidence

Biomarker Research, Journal Year: 2025, Volume and Issue: 13(1)

Published: March 27, 2025

Abstract Glucagon-like peptide-1 receptor agonists (GLP-1RAs) have emerged as a primary first-line treatment for type 2 diabetes. This has raised concerns about their impact on cancer risk, spurring extensive research. review systematically examines the varied effects of GLP-1RAs risk different types tumors, including overall and specific cancers such thyroid, pancreatic, reproductive system, liver, colorectal cancers. The potential biological mechanisms underlying influence are complex, involving metabolic regulation, direct antitumor effects, immune modulation, epigenetic changes. A systematic comparison with other antidiabetic agents reveals notable differences in across drug classes. Additionally, critical factors that shape relationship between thoroughly analyzed, patient demographics, comorbidities, regimens, lifestyle factors, offering essential insights developing individualized protocols. Despite significant research progress, gaps remain. Future should prioritize elucidating molecular behind refining strategies, investigating early tumor prevention applications, assessing benefits non-diabetic populations, advancing development novel therapies, establishing robust safety monitoring frameworks, building precision medicine decision-making platforms. These efforts aim to establish roles prevention. treatment, thereby progress medicine.

Language: Английский

---

Exploring the Relationship Between Antipsychotic Drug Target Genes and Epilepsy: Evidence From Food and Drug Administration Adverse Event Reporting System Database and Mendelian Randomization

Brain and Behavior, Journal Year: 2025, Volume and Issue: 15(4)

Published: April 1, 2025

ABSTRACT Background The effect of antipsychotic drugs on epilepsy is controversial, and we performed Food Drug Administration Adverse Event Reporting System (FAERS) data mining Mendelian Randomization (MR) analyses to clarify the effects target genes epilepsy. Method We explored antipsychotic‐induced AE signals in FAERS. Gene expression was obtained from eQTLGen consortium GTEx project. Epilepsy were FinnGen International League Against (ILAE). MR, Summary‐data‐based (SMR), colocalization analysis sequentially performed, meta‐analysis with significant MR or SMR assess causal relationship between them Result Through FAERS database mining, 63 antipsychotics reported 5121 adverse events identified potential associations 14 drug for its subtypes. MCHR1 SIGMAR1 still after no evidence heterogeneity pleiotropy. showed that DRD4 ADRA1D strongly associated subtypes however, neither gene passed HEIDI test. Conclusion Our study indicates are a high incidence epilepsy‐related AEs. demonstrated targets Providing new insights managing patients psychiatric disorders.

Language: Английский

---

The metabolic dialogue between intratumoural microbes and cancer: implications for immunotherapy

EBioMedicine, Journal Year: 2025, Volume and Issue: 115, P. 105708 - 105708

Published: April 22, 2025

Language: Английский

---