ArticleCancer biology & therapy2020
RNA-Seq analysis of peripheral blood mononuclear cells reveals unique transcriptional signatures associated with radiotherapy response of nasopharyngeal carcinoma and prognosis of head and neck cancer.
Article in Cancer biology & therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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39 citing papers in PubMed, 56 citations in OpenAlex.
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- Prognostic Analysis of Lactic Acid Metabolism Genes in Oral Squamous Cell Carcinoma.International dental journal · 2024Article
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- Type I conventional dendritic cells and CD8Frontiers in immunology · 2024Article
- Predicting radiotherapy efficacy and prognosis in tongue squamous cell carcinoma through an in-depth analysis of a radiosensitivity gene signature.Frontiers in oncology · 2024Article
- Transcriptomics integrated with metabolomics reveals partial molecular mechanisms of nutritional risk and neurodevelopment in children with congenital heart disease.Frontiers in cardiovascular medicine · 2024Article
- Novel prognostic biomarkers in nasopharyngeal carcinoma unveiled by mega-data bioinformatics analysis.Frontiers in oncology · 2024Article
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- Construction of diagnostic and prognostic models based on gene signatures of nasopharyngeal carcinoma by machine learning methods.Translational cancer research · 2023Article
- The prognostic significance of KLRB1 and its further association with immune cells in breast cancer.PeerJ · 2023Article
- CircMolecular and cellular biology · 2023Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Radiotherapy is the main treatment for nasopharyngeal carcinoma (NPC); however, radioresistance limits the therapeutic efficacy and prognosis of patients with NPC. Here, we plan to identify the genes involved in radiotherapy response. Peripheral blood mononuclear cells (PBMC) from three paired NPC patients with pre-radiotherapy and post-radiotherapy were extracted. Next-generation deep sequencing was then performed to identify the PBMCs transcripts profiles in response to radiotherapy. Data of gene chip GSE48501 was obtained from Gene Expression Omnibus (GEO) database. The gene integration of differentially expressed genes identified from RNA-Seq data and gene chip was performed using "RobustRankAggreg" package. RNA-Seq data from 44 normal and 519 Head and neck squamous cell carcinoma (HNSCC) tissues (downloaded from TCGA) was integrated into the analysis to further support our study. Cox regression was used to identify risk factors impacting survival. Total of 45 genes were identified to be associated with radiotherapy response. Significantly enriched Gene Ontology (GO) terms and pathways were enriched. Univariate and multivariate analysis suggested the dysregulated genes,
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