ArticleIrish journal of medical science2022
The prognostic significance of annexin A family in glioblastoma.
Article in Irish journal of medical science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 14 citations in OpenAlex.
- Integrative machine learning reveals hidden and emerging co-regulatory gene networks for multi-phase glioblastoma outcome prediction.European journal of cancer (Oxford, England : 1990) · 2026Article
- Single cell spatial profiling of the matrisome identifies region-specific adhesion and signaling networks in glioblastoma.Communications biology · 2025Article
- Human annexin A5 promotes glioma progression by targeting theFrontiers in oncology · 2025Article
- Citronellol Induces Apoptosis via Differential Regulation of Caspase-3, NF-κB, and JAK2 Signaling Pathways in Glioblastoma Cell Line.Food science & nutrition · 2025Article
- The role of annexins in central nervous system development and disease.Journal of molecular medicine (Berlin, Germany) · 2024Review
- Pan-cancer evidence of prognosis, immune infiltration, and immunotherapy efficacy for annexin family using multi-omics data.Functional & integrative genomics · 2023Article
- Expression of HIF-1α, ANXA3, CD133 and their associations with clinicopathological parameters in human colon carcinoma.Translational cancer research · 2022Article
- Pathobiological functions and clinical implications of annexin dysregulation in human cancers.Frontiers in cell and developmental biology · 2022Review
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGlioblastoma (GBM) is the most common histological type of glioma, which has the most aggressive biological characters and the worst outcome. The targeted therapy of GBM requires more progression, and new biomarkers should be identified. MATERIALS AND
methodsIn our study, we firstly retrieved the data of TCGA and compared the TPMs of all ANXAs in TCGA database. By quantitative PCR (qPCR), we detected the mRNA levels of ANXAs in 8 pairs of GBM tissues and their corresponding normal brain tissues. Moreover, we detected the expression of ANXAs in 118 cases of GBMs, and further evaluated their clinical significance by analyzing the correlation with clinicopathological factors, and estimated their prognostic significance with univariate and multivariate analyses.
resultsIn the TCGA database, ANXA1, ANXA2, ANXA4, and ANXA5 had higher transcripts per million (TPMs) in GBM tissues compared with the normal brain tissues, while ANXA3 expression was downregulated in GBM tissues. With qPCR, ANXA1, ANXA2, and ANXA10 were verified to be the upregulated genes in GBM, but other ANXAs had no significant differences. ANXA2 and ANXA10, but not ANXA1, were correlated with poor prognosis of GBM and identified as independent prognostic biomarkers for poor outcome.
conclusionsANXA1, ANXA2, and ANXA10 are the upregulated genes in GBM. ANXA2 and ANXA10, but not ANXA1, are independent prognostic biomarkers indicating unfavorable outcome. Our results suggest that expression profiles based on ANXA10 expression may be a new classification system to predict prognosis of GBM patients.
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