ArticleBrain sciences2022
A Bioinformatics-Based Analysis of an Anoikis-Related Gene Signature Predicts the Prognosis of Patients with Low-Grade Gliomas.
Article in Brain sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.
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Who cites it
39 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.
- Biomarkers predicting clinical outcomes in nasopharyngeal cancer patients receiving immune checkpoint inhibitors: A systematic review and meta-analysis.Frontiers in immunology · 2023Pooled it
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- Network-driven prioritization and functional phenotyping nominate TTC23 as a biomarker-informed target in chlorpromazine repurposing for glioblastoma.Frontiers in pharmacology · 2026Article
- Prognostic model of lung adenocarcinoma based on disulfidptosis-related genes and analysis of in vitro cell experiments for PPP1R14B in the model.Biology direct · 2025Article
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- A Systematic Overview of Single-Cell Transcriptomics Databases, their Use cases, and Limitations.ArXiv · 2024Article
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- XRCC1: a potential prognostic and immunological biomarker in LGG based on systematic pan-cancer analysis.Aging · 2024Article
- Revisiting the potential of regulated cell death in glioma treatment: a focus on autophagy-dependent cell death, anoikis, ferroptosis, cuproptosis, pyroptosis, immunogenic cell death, and the crosstalk between them.Frontiers in oncology · 2024Review
- Identification of anoikis-related molecular patterns and the novel risk model to predict prognosis, tumor microenvironment infiltration and immunotherapy response in bladder cancer.Frontiers in immunology · 2024Article
- Interplay of Sphingolipid Metabolism in Predicting Prognosis of GBM Patients: Towards Precision Immunotherapy.Journal of Cancer · 2024Article
- Clinical Significance of Disulfidptosis-related Genes and Functional Analysis in Gastric Cancer.Journal of Cancer · 2024Article
- A systematic overview of single-cell transcriptomics databases, their use cases, and limitations.Frontiers in bioinformatics · 2024Review
- Exploiting cell death and tumor immunity in cancer therapy: challenges and future directions.Frontiers in cell and developmental biology · 2024Review
- An anoikis-related lncRNA signature is a useful tool for predicting the prognosis of patients with lung adenocarcinoma.Heliyon · 2023Article
- Identification of anoikis-related subtypes and immune landscape in kidney renal clear cell carcinoma.Scientific reports · 2023Article
- Interaction, immune infiltration characteristics and prognostic modeling of efferocytosis-related subtypes in glioblastoma.BMC medical genomics · 2023Article
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- Identification and verification of a novel anoikis-related gene signature with prognostic significance in clear cell renal cell carcinoma.Journal of cancer research and clinical oncology · 2023Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
Low-grade glioma (LGG) is a highly aggressive disease in the skull. On the other hand, anoikis, a specific form of cell death induced by the loss of cell contact with the extracellular matrix, plays a key role in cancer metastasis. In this study, anoikis-related genes (ANRGs) were used to identify LGG subtypes and to construct a prognostic model for LGG patients. In addition, we explored the immune microenvironment and enrichment pathways between different subtypes. We constructed an anoikis-related gene signature using the TCGA (The Cancer Genome Atlas) cohort and investigated the differences between different risk groups in clinical features, mutational landscape, immune cell infiltration (ICI), etc. Kaplan-Meier analysis showed that the characteristics of ANRGs in the high-risk group were associated with poor prognosis in LGG patients. The risk score was identified as an independent prognostic factor. The high-risk group had higher ICI, tumor mutation load (TMB), immune checkpoint gene expression, and therapeutic response to immune checkpoint blockers (ICB). Functional analysis showed that these high-risk and low-risk groups had different immune statuses and drug sensitivity. Risk scores were used together with LGG clinicopathological features to construct a nomogram, and Decision Curve Analysis (DCA) showed that the model could enable patients to benefit from clinical treatment strategies.
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Registered trials
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