Development and validation of a programmed cell death index to predict the prognosis and drug sensitivity of gastric cancer

AimProgrammed cell death (PCD) critically influences the tumor microenvironment (TME) and is intricately linked to tumor progression and patient prognosis. This study aimed to develop a novel prognostic indicator and marker of drug sensitivity in patients with gastric cancer (GC) based on PCD.Method...

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Main Authors: Feizhi Lin, Xiaojiang Chen, Chengcai Liang, Ruopeng Zhang, Guoming Chen, Ziqi Zheng, Bowen Huang, Chengzhi Wei, Zhoukai Zhao, Feiyang Zhang, Zewei Chen, Shenghang Ruan, Yongming Chen, Runcong Nie, Yuangfang Li, Baiwei Zhao
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Pharmacology
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Online Access:https://www.frontiersin.org/articles/10.3389/fphar.2024.1477363/full
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author Feizhi Lin
Xiaojiang Chen
Chengcai Liang
Ruopeng Zhang
Guoming Chen
Ziqi Zheng
Bowen Huang
Chengzhi Wei
Zhoukai Zhao
Feiyang Zhang
Zewei Chen
Shenghang Ruan
Yongming Chen
Runcong Nie
Yuangfang Li
Baiwei Zhao
author_facet Feizhi Lin
Xiaojiang Chen
Chengcai Liang
Ruopeng Zhang
Guoming Chen
Ziqi Zheng
Bowen Huang
Chengzhi Wei
Zhoukai Zhao
Feiyang Zhang
Zewei Chen
Shenghang Ruan
Yongming Chen
Runcong Nie
Yuangfang Li
Baiwei Zhao
author_sort Feizhi Lin
collection DOAJ
description AimProgrammed cell death (PCD) critically influences the tumor microenvironment (TME) and is intricately linked to tumor progression and patient prognosis. This study aimed to develop a novel prognostic indicator and marker of drug sensitivity in patients with gastric cancer (GC) based on PCD.MethodsWe analyzed genes associated with 14 distinct PCD patterns using bulk transcriptome data and clinical information from TCGA-STAD for model construction with univariate Cox regression and LASSO regression analyses. Microarray data from GSE62254, GSE15459, and GSE26901 were used for validation. Single-cell transcriptome data from GSE183904 were analyzed to explore the relationship between TME and the newly constructed model, named PCD index (PCDI). Drug sensitivity comparisons were made between patients with high and low PCDI scores.ResultsWe developed a novel twelve-gene signature called PCDI. Upon validation, GC patients with higher PCDI scores had poorer prognoses. A high-performance nomogram integrating the PCDI with clinical features was also established. Additionally, single-cell transcriptome data analysis suggested that PCDI might be linked to critical components of the TME. Patients with high PCDI scores exhibited resistance to standard adjuvant chemotherapy and immunotherapy but might benefit from targeted treatments with NU7441, Dasatinib, and JQ1.ConclusionThe novel PCDI model shows significant potential in predicting clinical prognosis and drug sensitivity of GC, thereby facilitating personalized treatment strategies for patients with GC.
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publisher Frontiers Media S.A.
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spelling doaj-art-979c62aa565d453e962a11ef4e19886c2025-08-20T02:37:06ZengFrontiers Media S.A.Frontiers in Pharmacology1663-98122024-12-011510.3389/fphar.2024.14773631477363Development and validation of a programmed cell death index to predict the prognosis and drug sensitivity of gastric cancerFeizhi LinXiaojiang ChenChengcai LiangRuopeng ZhangGuoming ChenZiqi ZhengBowen HuangChengzhi WeiZhoukai ZhaoFeiyang ZhangZewei ChenShenghang RuanYongming ChenRuncong NieYuangfang LiBaiwei ZhaoAimProgrammed cell death (PCD) critically influences the tumor microenvironment (TME) and is intricately linked to tumor progression and patient prognosis. This study aimed to develop a novel prognostic indicator and marker of drug sensitivity in patients with gastric cancer (GC) based on PCD.MethodsWe analyzed genes associated with 14 distinct PCD patterns using bulk transcriptome data and clinical information from TCGA-STAD for model construction with univariate Cox regression and LASSO regression analyses. Microarray data from GSE62254, GSE15459, and GSE26901 were used for validation. Single-cell transcriptome data from GSE183904 were analyzed to explore the relationship between TME and the newly constructed model, named PCD index (PCDI). Drug sensitivity comparisons were made between patients with high and low PCDI scores.ResultsWe developed a novel twelve-gene signature called PCDI. Upon validation, GC patients with higher PCDI scores had poorer prognoses. A high-performance nomogram integrating the PCDI with clinical features was also established. Additionally, single-cell transcriptome data analysis suggested that PCDI might be linked to critical components of the TME. Patients with high PCDI scores exhibited resistance to standard adjuvant chemotherapy and immunotherapy but might benefit from targeted treatments with NU7441, Dasatinib, and JQ1.ConclusionThe novel PCDI model shows significant potential in predicting clinical prognosis and drug sensitivity of GC, thereby facilitating personalized treatment strategies for patients with GC.https://www.frontiersin.org/articles/10.3389/fphar.2024.1477363/fullgastric cancerprogrammed cell deathprognostic modeldrug sensitivitytumor microenvironment
spellingShingle Feizhi Lin
Xiaojiang Chen
Chengcai Liang
Ruopeng Zhang
Guoming Chen
Ziqi Zheng
Bowen Huang
Chengzhi Wei
Zhoukai Zhao
Feiyang Zhang
Zewei Chen
Shenghang Ruan
Yongming Chen
Runcong Nie
Yuangfang Li
Baiwei Zhao
Development and validation of a programmed cell death index to predict the prognosis and drug sensitivity of gastric cancer
Frontiers in Pharmacology
gastric cancer
programmed cell death
prognostic model
drug sensitivity
tumor microenvironment
title Development and validation of a programmed cell death index to predict the prognosis and drug sensitivity of gastric cancer
title_full Development and validation of a programmed cell death index to predict the prognosis and drug sensitivity of gastric cancer
title_fullStr Development and validation of a programmed cell death index to predict the prognosis and drug sensitivity of gastric cancer
title_full_unstemmed Development and validation of a programmed cell death index to predict the prognosis and drug sensitivity of gastric cancer
title_short Development and validation of a programmed cell death index to predict the prognosis and drug sensitivity of gastric cancer
title_sort development and validation of a programmed cell death index to predict the prognosis and drug sensitivity of gastric cancer
topic gastric cancer
programmed cell death
prognostic model
drug sensitivity
tumor microenvironment
url https://www.frontiersin.org/articles/10.3389/fphar.2024.1477363/full
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