ArticleFrontiers in oncology2023
An anoikis-related gene signature predicts prognosis and reveals immune infiltration in hepatocellular carcinoma.
Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 18 citations in OpenAlex.
- SDC4 silencing promotes cell cycle arrest at the restriction point (R point) in anoikis-resistant endothelial cells.Cytotechnology · 2026Article
- Harnessing Anoikis-Related Gene Signatures for Immunotherapy Precision: A Machine Learning-Driven Predictive and Prognostic Model.ACS omega · 2026Article
- Identification of a novel PANoptosis-associated prognostic signature and immune landscape analysis in neuroblastoma with experimental validation.Frontiers in immunology · 2026Article
- An anoikis-related gene signature predicts prognosis and immunotherapy response, and identifies CCAR2 as a therapeutic target in triple-negative breast cancer.Frontiers in immunology · 2026Article
- Leveraging diverse cell-death patterns to predict to predict prognosis and immunotherapy in hepatocellular carcinoma.Discover oncology · 2025Article
- Cell Death and Senescence-Based Molecular Classification and an Individualized Prediction Model for Lung Adenocarcinoma.MedComm · 2025Article
- Article
- Newly Established Anoikis-Associated Genes Predict the Prognosis of Hepatocellular Carcinoma.Journal of hepatocellular carcinoma · 2025Article
- An immune-related signature based on molecular subtypes for predicting the prognosis and immunotherapy efficacy of hepatocellular carcinoma.Frontiers in immunology · 2025Article
- Role of ADME genes in breast cancer prognosis: an analysis of risk scoring models based on multi-omics data.Frontiers in oncology · 2025Article
- EZH2 Inhibition Enhances PD-L1 Protein Stability Through USP22-Mediated Deubiquitination in Colorectal Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- A novel anoikis-related gene signature can predict the prognosis of hepatocarcinoma patients.Translational cancer research · 2024Article
- Article
- The role of kinesin family members in hepatobiliary carcinomas: from bench to bedside.Biomarker research · 2024Review
- Article
- Article
- Comprehensive analysis of anoikis-related lncRNAs for predicting prognosis and response of immunotherapy in hepatocellular carcinoma.IET systems biology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Hepatocellular carcinoma (HCC) is a global health burden with poor prognosis. Anoikis, a novel programmed cell death, has a close interaction with metastasis and progression of cancer. In this study, we aimed to construct a novel bioinformatics model for evaluating the prognosis of HCC based on anoikis-related gene signatures as well as exploring the potential mechanisms. Materials and methods: We downloaded the RNA expression profiles and clinical data of liver hepatocellular carcinoma from TCGA database, ICGC database and GEO database. DEG analysis was performed using TCGA and verified in the GEO database. The anoikis-related risk score was developed Results: A total of 49 anoikis-related DEGs in HCC were detected and 3 genes (EZH2, KIF18A and NQO1) were selected out to build a prognostic model. Furthermore, GO and KEGG functional enrichment analyses indicated that the difference in overall survival between risk groups was closely related to cell cycle pathway. Notably, further analyses found the frequency of tumor mutations, immune infiltration level and expression of immune checkpoints were significantly different between the two risk groups, and the results of the immunotherapy cohort showed that patients in the high-risk group have a better immune response. Additionally, the high-risk group was found to have higher sensitivity to 5-fluorouracil, doxorubicin and gemcitabine. Conclusion: The novel signature of 3 anoikis-related genes (EZH2, KIF18A and NQO1) can predict the prognosis of patients with HCC, and provide a revealing insight into personalized treatments in HCC.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.