ArticleMedical oncology (Northwood, London, England)2012
Identification of a 7-gene signature that predicts relapse and survival for early stage patients with cervical carcinoma.
Article in Medical oncology (Northwood, London, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Construction and validation of a novel prognostic risk model in cervical cancer: integrating lactylation-related genes linked to radiotherapy‑associated transcriptional changes.Discover oncology · 2026Article
- NOL7 Inhibits Ovarian Cancer Progression and Suppresses Angiogenesis by Stabilizing GADD45A to Deactivate STAT3.Cancer science · 2026Article
- Intracellular dynamics of ubiquitin-like 3 visualized using an inducible fluorescent timer expression system.Biology open · 2024Article
- Increased Gene Expression ofCells · 2023Article
- UBL3 Interacts with Alpha-Synuclein in Cells and the Interaction Is Downregulated by the EGFR Pathway Inhibitor Osimertinib.Biomedicines · 2023Article
- A New Potential Therapeutic Target for Cancer in Ubiquitin-Like Proteins-UBL3.International journal of molecular sciences · 2023Review
- Pancancer Analysis of the Oncogenic and Prognostic Role ofInternational journal of molecular sciences · 2022Article
- Ubiquitin-like protein 3 (UBL3) is required for MARCH ubiquitination of major histocompatibility complex class II and CD86.Nature communications · 2022Article
- Integrative Systems Biology Approaches to Identify Potential Biomarkers and Pathways of Cervical Cancer.Journal of personalized medicine · 2021Article
- A bioinformatic analysis of the inhibin-betaglycan-endoglin/CD105 network reveals prognostic value in multiple solid tumors.PloS one · 2021Article
- Identification of a potential tumor suppressor gene,Cancer biology & medicine · 2020Observational
- A Novel Four-Gene Prognostic Signature as a Risk Biomarker in Cervical Cancer.International journal of genomics · 2020Article
- Elastic Net-Based Identification of a Multigene Combination Predicting the Survival of Patients with Cervical Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2019Article
- Post-translational modification and protein sorting to small extracellular vesicles including exosomes by ubiquitin and UBLs.Cellular and molecular life sciences : CMLS · 2019Review
- Prediction of Recurrence in Cervical Cancer Using a Nine-lncRNA Signature.Frontiers in genetics · 2019Article
- GeneExpressScore Signature: a robust prognostic and predictive classifier in gastric cancer.Molecular oncology · 2018Article
- Article
- A Comprehensive RNA Expression Signature for Cervical Squamous Cell Carcinoma Prognosis.Frontiers in genetics · 2018Article
- Article
- The Bidirectional Regulation between MYL5 and HIF-1α Promotes Cervical Carcinoma Metastasis.Theranostics · 2017Article
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Authors and funding
7 authors.
Funding
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Abstract
There is no gene signature for predicting relapse and survival of cervical cancer with early stage currently. In this study, we investigate whether gene expression profiling of cervical cancer could be used to predict the prognosis of patient. A series of 100 primary cervical cancer patients who underwent radical hysterectomy between January 2001 and October 2006 were analyzed for gene expression profiles by using a custom oligonucleotide microarray containing probes for 1440 human tumor-related gene transcripts. Supervised analysis of gene expression data identified 19 genes that exhibited differential expression between cervical cancer and normal cervix. Then, all 100 patients were divided into the training (n=50) and testing sets (n=50). Using Cox regression and risk-score analysis, we identified a 7-gene (UBL3, FGF3, BMI1, PDGFRA, PTPRF, RFC4, and NOL7) signature for predicting relapse of patient in the training set. The 7-gene signature was validated by the testing set (sensitivity, 84.6%; specificity, 91.9%; positive predictive value, 78.6%; negative predictive value, 94.4%). Patients with high-risk 7-gene signature had poor relapse-free survivals (RFS) than patients with low-risk 7-gene signature in both training set (P=0.026) and testing set (P=0.042). Multivariate analysis showed that the FIGO stage and 7-gene signature are independent prognostic factors associated with RFS of cervical cancer patients. The 7-gene signature can predict cancer recurrence and survival of cervical cancer patients. This may have prognostic or therapeutic implications for the future management of cervical cancer patients.
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