Construction of a 10-gene prognostic score model of predicting recurrence for laryngeal cancer
Abstract We constructed a prognostic score (PS) model to predict the recurrence risk in patients previously diagnosed with laryngeal cancer (LC). Here the training dataset, consisting of 82 LC samples, was downloaded from The Cancer Genome Atlas (TCGA). The PS model then divided the LC samples into...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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BMC
2022-11-01
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Series: | European Journal of Medical Research |
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Online Access: | https://doi.org/10.1186/s40001-022-00829-2 |
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author | Yanan Liu Zhiguang Gao Cheng Peng Xingli Jiang |
author_facet | Yanan Liu Zhiguang Gao Cheng Peng Xingli Jiang |
author_sort | Yanan Liu |
collection | DOAJ |
description | Abstract We constructed a prognostic score (PS) model to predict the recurrence risk in patients previously diagnosed with laryngeal cancer (LC). Here the training dataset, consisting of 82 LC samples, was downloaded from The Cancer Genome Atlas (TCGA). The PS model then divided the LC samples into high- and low-risk groups, which predicted well the survival time of LC in three datasets (TCGA dataset: AUC = 0.899; GSE27020: AUC = 0.719; and GSE25727: AUC = 0.662). Therefore, the PS model based on the 10 genes and its nomogram is proposed to help predict the recurrence risk in patients with LC. |
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format | Article |
id | doaj.art-46822423c793459e843a6cb79097e748 |
institution | Directory Open Access Journal |
issn | 2047-783X |
language | English |
last_indexed | 2024-04-13T12:46:27Z |
publishDate | 2022-11-01 |
publisher | BMC |
record_format | Article |
series | European Journal of Medical Research |
spelling | doaj.art-46822423c793459e843a6cb79097e7482022-12-22T02:46:21ZengBMCEuropean Journal of Medical Research2047-783X2022-11-0127111010.1186/s40001-022-00829-2Construction of a 10-gene prognostic score model of predicting recurrence for laryngeal cancerYanan Liu0Zhiguang Gao1Cheng Peng2Xingli Jiang3Department of Gastroenterology, Harbin Institute of Technology Heilongjiang HospitalDepartment of Otorhinolaryngology, Heilongjiang Provincial Hospital Affiliated to Harbin Institute of TechnologyDepartment of Otorhinolaryngology, Heilongjiang Provincial Hospital Affiliated to Harbin Institute of TechnologyDepartment of Otorhinolaryngology, Heilongjiang Provincial Hospital Affiliated to Harbin Institute of TechnologyAbstract We constructed a prognostic score (PS) model to predict the recurrence risk in patients previously diagnosed with laryngeal cancer (LC). Here the training dataset, consisting of 82 LC samples, was downloaded from The Cancer Genome Atlas (TCGA). The PS model then divided the LC samples into high- and low-risk groups, which predicted well the survival time of LC in three datasets (TCGA dataset: AUC = 0.899; GSE27020: AUC = 0.719; and GSE25727: AUC = 0.662). Therefore, the PS model based on the 10 genes and its nomogram is proposed to help predict the recurrence risk in patients with LC.https://doi.org/10.1186/s40001-022-00829-2Laryngeal cancerRecurrencePrognosis |
spellingShingle | Yanan Liu Zhiguang Gao Cheng Peng Xingli Jiang Construction of a 10-gene prognostic score model of predicting recurrence for laryngeal cancer European Journal of Medical Research Laryngeal cancer Recurrence Prognosis |
title | Construction of a 10-gene prognostic score model of predicting recurrence for laryngeal cancer |
title_full | Construction of a 10-gene prognostic score model of predicting recurrence for laryngeal cancer |
title_fullStr | Construction of a 10-gene prognostic score model of predicting recurrence for laryngeal cancer |
title_full_unstemmed | Construction of a 10-gene prognostic score model of predicting recurrence for laryngeal cancer |
title_short | Construction of a 10-gene prognostic score model of predicting recurrence for laryngeal cancer |
title_sort | construction of a 10 gene prognostic score model of predicting recurrence for laryngeal cancer |
topic | Laryngeal cancer Recurrence Prognosis |
url | https://doi.org/10.1186/s40001-022-00829-2 |
work_keys_str_mv | AT yananliu constructionofa10geneprognosticscoremodelofpredictingrecurrenceforlaryngealcancer AT zhiguanggao constructionofa10geneprognosticscoremodelofpredictingrecurrenceforlaryngealcancer AT chengpeng constructionofa10geneprognosticscoremodelofpredictingrecurrenceforlaryngealcancer AT xinglijiang constructionofa10geneprognosticscoremodelofpredictingrecurrenceforlaryngealcancer |