AHSG antibody - N-terminal region (ARP33815_P050)
- Known as:
- AHSG (anti-) - N-terminal region (ARP33815_P050)
- Catalog number:
- arp33815_p050
- Product Quantity:
- USD
- Category:
- -
- Supplier:
- Aviva Systems Biology
- Gene target:
- AHSG antibody - N-terminal region (ARP33815_P050)
Ask about this productRelated genes to: AHSG antibody - N-terminal region (ARP33815_P050)
- Gene:
- AHSG NIH gene
- Name:
- alpha 2-HS glycoprotein
- Previous symbol:
- -
- Synonyms:
- FETUA, A2HS, HSGA
- Chromosome:
- 3q27.3
- Locus Type:
- gene with protein product
- Date approved:
- 1986-01-01
- Date modifiied:
- 2016-05-23
Related products to: AHSG antibody - N-terminal region (ARP33815_P050)
Related articles to: AHSG antibody - N-terminal region (ARP33815_P050)
- The pathogenesis of aortic aneurysm (AA) remains unclear, and there are no effective therapeutic drugs or targets. Circulating plasma proteins are considered biomarkers of AA and potential therapeutic targets for AA. This study aimed to systematically evaluate the causal effects of plasma proteins on AA using a multi-cohort Mendelian randomization (MR) approach. - Source: PubMed
Publication date: 2026/03/25
Ding MeizhuLi YinggaoYao ShashaWang Kan - Recent studies highlight the role of uric acid in tumor development, but its impact on prostate cancer (PCa) remains underexplored. This study aimed to investigate how uric acid influences PCa prognosis by analyzing transcriptomic data on PCa and uric acid-related genes (UARGs) from public databases. Differential expression analysis, protein-protein interaction (PPI) network, univariate Cox regression, and machine learning were used to identify prognostic genes. A risk model was then constructed based on these genes. Six prognostic genes (AHSG, AOX1, APOC1, LPL, NKX2-2, NKX6-1) were identified through the analysis of 1 433 differentially expressed genes (DEGs) and 3 806 UARGs. The risk model showed strong predictive ability, with the high-risk group (HRG) exhibiting poorer prognosis. Additionally, 10 immune cell types were significantly different between risk groups, with the HRG showing higher tumor mutation burden. A total of 8 drugs were found to correlate with risk scores. Enrichment analysis revealed that AHSG, AOX1, and APOC1 were linked to oxidative stress and Parkinson's disease, while NKX2-2 and NKX6-1 were associated with RNA degradation. These findings suggest that oxidative stress may be a key mechanism in PCa progression. This study offers a novel perspective on PCa treatment by identifying 6 prognostic genes and providing a prognostic risk model. - Source: PubMed
Publication date: 2026/03/22
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Al Khaldi Rasha MMojiminiyi Olusegun AAbdella Nabila - Propionate exerts antiproliferative and immunomodulatory effects in tumors, but its role in the metabolism of lung adenocarcinoma (LUAD) remains underexplored. This study aimed to characterize molecular subtypes based on propionate metabolism-related genes (PMRGs) and assess their prognostic and immunological relevance in LUAD. Using transcriptomic data from The Cancer Genome Atlas (TCGA)-LUAD and validation from GSE30219, consensus clustering was performed to identify subtypes associated with propionate metabolism. Immune infiltration and tumor microenvironment characteristics were analyzed through established algorithms. Differentially expressed genes (DEGs) were identified, and a prognostic model was constructed using Cox and least absolute shrinkage and selection operator (LASSO) regression. Three molecular subtypes (low, medium, and high propionate metabolism) were identified, demonstrating significant differences in overall survival and immune microenvironment features. The high-propionate subtype was characterized by elevated immune and stromal scores, as well as increased M2 macrophage infiltration. A 7-gene prognostic signature was developed, with risk stratification revealing significant survival and drug sensitivity differences between high- and low-risk groups. Key prognostic genes, including SLC2A1, SLC16A1, IL1A, AHSG, and ALOX15, were validated through RT-qPCR. This study highlights the molecular heterogeneity of propionate metabolism in LUAD and proposes a prognostic signature that could inform immunotherapeutic stratification. - Source: PubMed
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