Development and Validation of an Immunotherapy-Related Prognostic Signature Based on Lymph Node Ratio for Gastric Cancer

Background. The long-term prognosis of gastric cancer (GC) remains poor due to postoperative recurrence and metastasis. The increasing evidence show that the lymph node ratio (LNR) serves as an independent prognostic factor in patients with GC. In this study, we aimed to develop a prognostic signatu...

Full description

Saved in:
Bibliographic Details
Main Authors: Jianxin Li, Ting Han, Xin Wang, Yinchun Wang, Xuan Chen, Wangsheng Chen, Qingqiang Yang
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Journal of Immunology Research
Online Access:http://dx.doi.org/10.1155/2023/6562422
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832559261246291968
author Jianxin Li
Ting Han
Xin Wang
Yinchun Wang
Xuan Chen
Wangsheng Chen
Qingqiang Yang
author_facet Jianxin Li
Ting Han
Xin Wang
Yinchun Wang
Xuan Chen
Wangsheng Chen
Qingqiang Yang
author_sort Jianxin Li
collection DOAJ
description Background. The long-term prognosis of gastric cancer (GC) remains poor due to postoperative recurrence and metastasis. The increasing evidence show that the lymph node ratio (LNR) serves as an independent prognostic factor in patients with GC. In this study, we aimed to develop a prognostic signature for GC based on LNR. Methods. Survival analysis was conducted by comparing low- and high-LNR groups according to the optimal cutoff value of LNR, which was identified by receiver operating characteristic (ROC) curve analysis. Then, we identified the differentially expressed genes (DEGs) related to LNR in the training cohort of GC. Univariate Cox regression and least absolute shrinkage and selection operator (LASSO) regression were performed to construct the risk score signature. We then evaluated the risk score signature from the viewpoints of survival, clinic-pathological characteristics, tumor microenvironment (TME), tumor mutation burden (TMB), and immunotherapeutic and chemotherapeutic efficacy. Results. High LNR was significantly correlated with poorer prognosis and was an independent predictor of recurrence in patients with GC. Then, an eleven-gene signature that could predict the prognosis of GC patients was developed based on LNR-related DEGs in the training cohort, and the results were further confirmed in external independent cohort. In addition, the high-risk group showed aggressive clinicopathological characteristics, specific TME status, low TMB, and low immunotherapeutic sensitivity. Conclusions. The present study constructed an eleven-gene prognostic signature based on LNR to predict the prognosis of patients with GC and facilitate the development of individualized treatment strategy.
format Article
id doaj-art-1a4e9fcbbeb44e379dc6367bc484b1b9
institution Kabale University
issn 2314-7156
language English
publishDate 2023-01-01
publisher Wiley
record_format Article
series Journal of Immunology Research
spelling doaj-art-1a4e9fcbbeb44e379dc6367bc484b1b92025-02-03T01:30:24ZengWileyJournal of Immunology Research2314-71562023-01-01202310.1155/2023/6562422Development and Validation of an Immunotherapy-Related Prognostic Signature Based on Lymph Node Ratio for Gastric CancerJianxin Li0Ting Han1Xin Wang2Yinchun Wang3Xuan Chen4Wangsheng Chen5Qingqiang Yang6Department of General Surgery (Gastrointestinal Surgery)Department of General Surgery (Gastrointestinal Surgery)Department of General Surgery (Gastrointestinal Surgery)Department of General Surgery (Gastrointestinal Surgery)Department of General Surgery (Gastrointestinal Surgery)Department of General Surgery (Gastrointestinal Surgery)Department of General Surgery (Gastrointestinal Surgery)Background. The long-term prognosis of gastric cancer (GC) remains poor due to postoperative recurrence and metastasis. The increasing evidence show that the lymph node ratio (LNR) serves as an independent prognostic factor in patients with GC. In this study, we aimed to develop a prognostic signature for GC based on LNR. Methods. Survival analysis was conducted by comparing low- and high-LNR groups according to the optimal cutoff value of LNR, which was identified by receiver operating characteristic (ROC) curve analysis. Then, we identified the differentially expressed genes (DEGs) related to LNR in the training cohort of GC. Univariate Cox regression and least absolute shrinkage and selection operator (LASSO) regression were performed to construct the risk score signature. We then evaluated the risk score signature from the viewpoints of survival, clinic-pathological characteristics, tumor microenvironment (TME), tumor mutation burden (TMB), and immunotherapeutic and chemotherapeutic efficacy. Results. High LNR was significantly correlated with poorer prognosis and was an independent predictor of recurrence in patients with GC. Then, an eleven-gene signature that could predict the prognosis of GC patients was developed based on LNR-related DEGs in the training cohort, and the results were further confirmed in external independent cohort. In addition, the high-risk group showed aggressive clinicopathological characteristics, specific TME status, low TMB, and low immunotherapeutic sensitivity. Conclusions. The present study constructed an eleven-gene prognostic signature based on LNR to predict the prognosis of patients with GC and facilitate the development of individualized treatment strategy.http://dx.doi.org/10.1155/2023/6562422
spellingShingle Jianxin Li
Ting Han
Xin Wang
Yinchun Wang
Xuan Chen
Wangsheng Chen
Qingqiang Yang
Development and Validation of an Immunotherapy-Related Prognostic Signature Based on Lymph Node Ratio for Gastric Cancer
Journal of Immunology Research
title Development and Validation of an Immunotherapy-Related Prognostic Signature Based on Lymph Node Ratio for Gastric Cancer
title_full Development and Validation of an Immunotherapy-Related Prognostic Signature Based on Lymph Node Ratio for Gastric Cancer
title_fullStr Development and Validation of an Immunotherapy-Related Prognostic Signature Based on Lymph Node Ratio for Gastric Cancer
title_full_unstemmed Development and Validation of an Immunotherapy-Related Prognostic Signature Based on Lymph Node Ratio for Gastric Cancer
title_short Development and Validation of an Immunotherapy-Related Prognostic Signature Based on Lymph Node Ratio for Gastric Cancer
title_sort development and validation of an immunotherapy related prognostic signature based on lymph node ratio for gastric cancer
url http://dx.doi.org/10.1155/2023/6562422
work_keys_str_mv AT jianxinli developmentandvalidationofanimmunotherapyrelatedprognosticsignaturebasedonlymphnoderatioforgastriccancer
AT tinghan developmentandvalidationofanimmunotherapyrelatedprognosticsignaturebasedonlymphnoderatioforgastriccancer
AT xinwang developmentandvalidationofanimmunotherapyrelatedprognosticsignaturebasedonlymphnoderatioforgastriccancer
AT yinchunwang developmentandvalidationofanimmunotherapyrelatedprognosticsignaturebasedonlymphnoderatioforgastriccancer
AT xuanchen developmentandvalidationofanimmunotherapyrelatedprognosticsignaturebasedonlymphnoderatioforgastriccancer
AT wangshengchen developmentandvalidationofanimmunotherapyrelatedprognosticsignaturebasedonlymphnoderatioforgastriccancer
AT qingqiangyang developmentandvalidationofanimmunotherapyrelatedprognosticsignaturebasedonlymphnoderatioforgastriccancer