ArticleFrontiers in cell and developmental biology2021
Construction of Two Alternative Polyadenylation Signatures to Predict the Prognosis of Sarcoma Patients.
Article in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- The Transcriptional Landscape of Immune-Response 3'-UTR Alternative Polyadenylation in Melanoma.International journal of molecular sciences · 2024Article
- Multiplexed screening reveals how cancer-specific alternative polyadenylation shapes tumor growth in vivo.Nature communications · 2024Article
- Alternative polyadenylation associated with prognosis and therapy in colorectal cancer.Scientific reports · 2022Article
- Identification of Hypoxia-Immune-Related Gene Signatures and Construction of a Prognostic Model in Kidney Renal Clear Cell Carcinoma.Frontiers in cell and developmental biology · 2021Article
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9 authors.
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Abstract
backgroundIncreasing evidence indicates that alternative polyadenylation (APA) is associated with the prognosis of cancers.
methodsWe obtained gene expression and APA profiles of 259 sarcoma patients from the TCGA dataportal and TC3A database, respectively. The prognostic signatures, clinical nomograms, and regulatory networks were studied by integrated bioinformatics analyses. Then, the immune cell infiltration profile was obtained from the ImmuCellAI. The association between APA-based signature and immune cells was studied.
resultsA total of 61 and 38 APA events were identified as overall survival (OS)- and progress free-survival (PFS)-related biomarkers, respectively. Two signatures were generated. The area under the curves (AUC) values of OS signature were 0.900, 0.928, and 0.963 over 2-, 4-, and 6-years, respectively. And the AUC values of PFS signature at 2-, 4-, and 6-years were 0.826, 0.840, and 0.847, respectively. Overall and subgroup analyses indicated that high-risk patients had a worse prognosis than low-risk patients (all
conclusionIn this study, we identified prognostic predictors based on APA events with high accuracy for risk stratification in sarcoma patients and uncovered interesting regulatory networks in sarcoma that could be underlying mechanisms. This study not only provides novel potential prognostic biomarkers but promote precision medicine and provide potential novel research interests for immunotherapy.
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