ArticleInternational journal of molecular sciences2023
Identification of Anoikis-Related Subgroups and Prognosis Model in Liver Hepatocellular Carcinoma.
Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.
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Who cites it
59 citing papers in PubMed.
- Identification of an Anoikis-Related Gene Signature to Predict the Prognosis in Patients With Oral Squamous Cell Carcinoma.International dental journal · 2026Article
- Identification and validation of tumor microenvironment remodeling markers associated with prognosis in differentiated thyroid cancer.Translational cancer research · 2026Article
- Prognostic genes in hepatocellular carcinoma and their function: an analysis integrating high-throughput-based spatial transcriptomics and single-cell RNA-sequencing.Journal of gastrointestinal oncology · 2026Article
- Anoikis-Related Genes Can Accurately Predict the Occurrence of Endometriosis: A Retrospective Cohort Study via Machine Learning Analysis.Biochemical genetics · 2026Article
- Harnessing Anoikis-Related Gene Signatures for Immunotherapy Precision: A Machine Learning-Driven Predictive and Prognostic Model.ACS omega · 2026Article
- A novel anoikis resistance-associated gene model for prognostic prediction and immune microenvironment characterization in lung squamous cell carcinoma.Discover oncology · 2026Article
- Exosome-Related Gene Signature Predicts Prognosis and Immunotherapy in Gastric Cancer.International journal of genomics · 2026Article
- Integrative multi-omics reveals that downregulation of HLA-DPA1/DPB1 drives macrophage immune-metabolic dysregulation in pediatric asthma.Frontiers in immunology · 2026Article
- TMEM106C, BSG, COPE, CDCA8, KPNA2, LIG1, UQCRH, and CCT5: Predictive of Survival and Immunotherapy Resistance in Hepatocellular Carcinoma.Human mutation · 2026Article
- Identification and Validation of the Prognostic Value of PTTG1-Related Genes in Hepatocellular Carcinoma by Mendelian Randomization and Single-Cell Transcriptome Analysis.Iranian journal of biotechnology · 2026Article
- Identification of druggable genetic targets for prostate cancer risk based on mendelian randomization and single-cell RNA sequencing.International urology and nephrology · 2025Article
- Bioinformatics analysis of IFI6 as a novel prognostic biomarker and its correlation with immune infiltration in breast cancer.Scientific reports · 2025Article
- A novel machine learning-based predictive model for gastric cancer.Translational cancer research · 2025Article
- Interpretable machine learning driven biomarker identification and validation for prostate cancer.Translational andrology and urology · 2025Article
- The role of hypoxia-senescence co-related molecular subtypes and prognostic characteristics in hepatocellular carcinoma.Scientific reports · 2025Article
- BDNF is a prognostic biomarker involved in the immune infiltration of lung adenocarcinoma and associated with programmed cell death.Oncology letters · 2025Article
- Article
- Prognostic model development using novel genetic signature associated with adenosine metabolism and immune status for patients with hepatocellular carcinoma.Journal of physiology and biochemistry · 2025Article
- Roles of anoikis in hepatocellular carcinoma: mechanisms and therapeutic potential.Medical oncology (Northwood, London, England) · 2025Review
- Identification of anoikis-related genes to develop a risk model and predict the prognosis and tumor microenvironment in rectal adenocarcinoma.Frontiers in genetics · 2025Article
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5 authors.
Funding
Abstract
Resistance to anoikis is a key characteristic of many cancer cells, promoting cell survival. However, the mechanism of anoikis in hepatocellular carcinoma (HCC) remains unknown. In this study, we applied differentially expressed overlapping anoikis-related genes to classify The Cancer Genome Atlas (TCGA) samples using an unsupervised cluster algorithm. Then, we employed weighted gene coexpression network analysis (WGCNA) to identify highly correlated genes and constructed a prognostic risk model based on univariate Cox proportional hazards regression. This model was validated using external datasets from the International Cancer Genome Consortium (ICGC) and Gene Expression Omnibus (GEO). Finally, we used a CIBERSORT algorithm to investigate the correlation between risk score and immune infiltration. Our results showed that the TCGA cohorts could be divided into two subgroups, with subgroup A having a lower survival probability. Five genes (
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