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pmid:32500914
Fifteen mRNA-lncRNA expression-based signature predicted the survival of late-staged head and neck squamous cell carcinoma.
He Ren · Huaping Li · Ping Li · Yuhui Xu · Gang Liu · Liping Sun
Bioscience reports · 2020 doi:10.1042/BSR20200442
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Experiment
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Data
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Analysis
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Complete file
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The prognosis of late-staged HNSCC is important because of its guiding significance on the therapy strategies.\nMETHODS: In this work, we analyzed the relationship between gene expression and HNSCC in The Cancer Genome Atlas (TCGA) cohort, and optimized the panel with random forest survival analysis. Subsequently, a Cox multivariate regression-based model was developed to predict the clinical outcome of HNSCC. The performance of the model was assayed in the training cohort and validated in another three independent cohorts (GSE41614, E-TABM-302, E-MTAB-1328). The underlying pathways significantly associated with the model were identified. According to the results, patients of low-score group (median survival months: 27.4, 95% CI: 18.2-43) had a significant poor survival than those of high-score group (median survival months: 69.4, 95% CI: 58.7-72.1, P=2.7e-5), and the observation was repeatable in the other validation cohorts. 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