ArticleFrontiers in genetics2020
Prediction of Radiosensitivity in Head and Neck Squamous Cell Carcinoma Based on Multiple Omics Data.
Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Radiosensitivity Prediction of Tumor Patient Based on Deep Fusion of Pathological Images and Genomics.Bioengineering (Basel, Switzerland) · 2026Article
- Predicting radiotherapy efficacy and prognosis in tongue squamous cell carcinoma through an in-depth analysis of a radiosensitivity gene signature.Frontiers in oncology · 2024Article
- MRI-based radiomic prognostic signature for locally advanced oral cavity squamous cell carcinoma: development, testing and comparison with genomic prognostic signatures.Biomarker research · 2023Article
- Development of a prediction model for radiotherapy response among patients with head and neck squamous cell carcinoma based on the tumor immune microenvironment and hypoxia signature.Cancer medicine · 2022Article
- Prediction of radiosensitivity and radiocurability using a novel supervised artificial neural network.BMC cancer · 2022Article
- Radiation Response in the Tumour Microenvironment: Predictive Biomarkers and Future Perspectives.Journal of personalized medicine · 2021Review
Corrections and comments
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Authors and funding
9 authors.
Funding
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Abstract
Head and neck squamous cell carcinoma (HNSCC) is a malignant tumor. Radiotherapy (RT) is an important treatment for HNSCC, but not all patients derive survival benefit from RT due to the individual differences on radiosensitivity. A prediction model of radiosensitivity based on multiple omics data might solve this problem. Compared with single omics data, multiple omics data can illuminate more systematical associations between complex molecular characteristics and cancer phenotypes. In this study, we obtained 122 differential expression genes by analyzing the gene expression data of HNSCC patients with RT (
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