An Immune-Related Gene Panel for Preoperative Lymph Node Status Evaluation in Advanced Gastric Cancer
Background and Aim: Gastric cancer (GC) is the common leading cause of cancer-related death worldwide. Immune-related genes (IRGs) may potentially predict lymph node metastasis (LNM). We aimed to develop a preoperative model to predict LNM based on these IRGs. Methods: In this paper, we compared and...
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doaj-b10a27bceed94701bdf9e2cd37d4a4792020-12-21T11:41:26ZengHindawi LimitedBioMed Research International2314-61332314-61412020-01-01202010.1155/2020/84506568450656An Immune-Related Gene Panel for Preoperative Lymph Node Status Evaluation in Advanced Gastric CancerYuan Yang0Ya Zheng1Hongling Zhang2Yandong Miao3Guozhi Wu4Lingshan Zhou5Haoying Wang6Rui Ji7Qinghong Guo8Zhaofeng Chen9Jiangtao Wang10Yuping Wang11Yongning Zhou12The First Clinical Medical School, Lanzhou University, Lanzhou 730000, ChinaDepartment of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou 730000, ChinaDepartment of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou 730000, ChinaThe First Clinical Medical School, Lanzhou University, Lanzhou 730000, ChinaThe First Clinical Medical School, Lanzhou University, Lanzhou 730000, ChinaThe First Clinical Medical School, Lanzhou University, Lanzhou 730000, ChinaThe First Clinical Medical School, Lanzhou University, Lanzhou 730000, ChinaDepartment of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou 730000, ChinaDepartment of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou 730000, ChinaDepartment of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou 730000, ChinaThe First Clinical Medical School, Lanzhou University, Lanzhou 730000, ChinaDepartment of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou 730000, ChinaDepartment of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou 730000, ChinaBackground and Aim: Gastric cancer (GC) is the common leading cause of cancer-related death worldwide. Immune-related genes (IRGs) may potentially predict lymph node metastasis (LNM). We aimed to develop a preoperative model to predict LNM based on these IRGs. Methods: In this paper, we compared and evaluated three machine learning models to predict LNM based on publicly available gene expression data from TCGA-STAD. The Pearson correlation coefficient (PCC) method was utilized to feature selection according to its relationships with LN status. The performance of the model was assessed using the area under the curve (AUC) and F1 score. Results: The Naive Bayesian model showed better performance and was constructed based on 26 selected gene features, with AUCs of 0.741 in the training set and 0.688 in the test set. The F1 score in the training set and test set was 0.652 and 0.597, respectively. Furthermore, Naive Bayesian model based on 26 IRGs is the first diagnostic tool for the identification of LNM in advanced GC. Conclusion: These results indicate that our new methods have the value of auxiliary diagnosis with promising clinical potential.http://dx.doi.org/10.1155/2020/8450656 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yuan Yang Ya Zheng Hongling Zhang Yandong Miao Guozhi Wu Lingshan Zhou Haoying Wang Rui Ji Qinghong Guo Zhaofeng Chen Jiangtao Wang Yuping Wang Yongning Zhou |
spellingShingle |
Yuan Yang Ya Zheng Hongling Zhang Yandong Miao Guozhi Wu Lingshan Zhou Haoying Wang Rui Ji Qinghong Guo Zhaofeng Chen Jiangtao Wang Yuping Wang Yongning Zhou An Immune-Related Gene Panel for Preoperative Lymph Node Status Evaluation in Advanced Gastric Cancer BioMed Research International |
author_facet |
Yuan Yang Ya Zheng Hongling Zhang Yandong Miao Guozhi Wu Lingshan Zhou Haoying Wang Rui Ji Qinghong Guo Zhaofeng Chen Jiangtao Wang Yuping Wang Yongning Zhou |
author_sort |
Yuan Yang |
title |
An Immune-Related Gene Panel for Preoperative Lymph Node Status Evaluation in Advanced Gastric Cancer |
title_short |
An Immune-Related Gene Panel for Preoperative Lymph Node Status Evaluation in Advanced Gastric Cancer |
title_full |
An Immune-Related Gene Panel for Preoperative Lymph Node Status Evaluation in Advanced Gastric Cancer |
title_fullStr |
An Immune-Related Gene Panel for Preoperative Lymph Node Status Evaluation in Advanced Gastric Cancer |
title_full_unstemmed |
An Immune-Related Gene Panel for Preoperative Lymph Node Status Evaluation in Advanced Gastric Cancer |
title_sort |
immune-related gene panel for preoperative lymph node status evaluation in advanced gastric cancer |
publisher |
Hindawi Limited |
series |
BioMed Research International |
issn |
2314-6133 2314-6141 |
publishDate |
2020-01-01 |
description |
Background and Aim: Gastric cancer (GC) is the common leading cause of cancer-related death worldwide. Immune-related genes (IRGs) may potentially predict lymph node metastasis (LNM). We aimed to develop a preoperative model to predict LNM based on these IRGs. Methods: In this paper, we compared and evaluated three machine learning models to predict LNM based on publicly available gene expression data from TCGA-STAD. The Pearson correlation coefficient (PCC) method was utilized to feature selection according to its relationships with LN status. The performance of the model was assessed using the area under the curve (AUC) and F1 score. Results: The Naive Bayesian model showed better performance and was constructed based on 26 selected gene features, with AUCs of 0.741 in the training set and 0.688 in the test set. The F1 score in the training set and test set was 0.652 and 0.597, respectively. Furthermore, Naive Bayesian model based on 26 IRGs is the first diagnostic tool for the identification of LNM in advanced GC. Conclusion: These results indicate that our new methods have the value of auxiliary diagnosis with promising clinical potential. |
url |
http://dx.doi.org/10.1155/2020/8450656 |
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