Single-Cell Sequencing Reveals that DBI is the Key Gene and Potential Therapeutic Target in Quiescent Bladder Cancer Stem Cells

Background: Drug resistance and recurrence often develop during the treatment of muscle-invasive bladder cancer (MIBC). The existence of cancer stem cells (CSCs) in MIBC makes the formulation of effective treatment strategies extremely challenging. We aimed to use single-cell RNA sequencing approach...

Full description

Bibliographic Details
Main Authors: Jiaxi Yao, Yue Liu, Jitao Yang, Mengling Li, Simin Li, Bo Zhang, Rui Yang, Yuchong Zhang, Xiaoyu Cui, ChunQing Feng
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Genetics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2022.904536/full
_version_ 1818544801161674752
author Jiaxi Yao
Jiaxi Yao
Yue Liu
Jitao Yang
Jitao Yang
Mengling Li
Simin Li
Bo Zhang
Rui Yang
Yuchong Zhang
Xiaoyu Cui
Xiaoyu Cui
ChunQing Feng
author_facet Jiaxi Yao
Jiaxi Yao
Yue Liu
Jitao Yang
Jitao Yang
Mengling Li
Simin Li
Bo Zhang
Rui Yang
Yuchong Zhang
Xiaoyu Cui
Xiaoyu Cui
ChunQing Feng
author_sort Jiaxi Yao
collection DOAJ
description Background: Drug resistance and recurrence often develop during the treatment of muscle-invasive bladder cancer (MIBC). The existence of cancer stem cells (CSCs) in MIBC makes the formulation of effective treatment strategies extremely challenging. We aimed to use single-cell RNA sequencing approaches to identify CSCs and evaluate their molecular characteristics and to discover possible therapeutic measures.Methods: GEO data sets GSE130001 and GSE146137 were used to construct an expression matrix. After cells were identified by type, malignant epithelial cells inferred by InferCNV were extracted for stemness evaluation. The subset of cells with the highest stemness was subjected to weighted gene coexpression network analysis (WGCNA) and pseudotime analysis to identify key genes. In addition, we predicted drug sensitivity relationships for key genes in CTD and predicted the correlation between drugs and survival through siGDC.Results: We found that there were some CSCs in MIBC samples. The CSC population was heterogeneous during tumor development and was divided into quiescent and proliferating CSCs. We identified DBI as the key gene in quiescent CSCs. Analysis of a TCGA data set showed that higher DBI expression indicated higher histological grade. In addition, we predicted that acetaminophen can reduce DBI expression, thereby reducing the stemness of CSCs. Thus, we identified a potential new use of acetaminophen.Conclusion: We systematically explored CSCs in tumors and determined that DBI may be a key gene and potential therapeutic target in quiescent CSCs. In addition, we confirmed that acetaminophen may be a candidate drug targeting CSCs, improving our understanding of CSC-targeting therapeutic strategies.
first_indexed 2024-12-11T22:53:12Z
format Article
id doaj.art-763392ee3ee64bef882cc1e1a446fed7
institution Directory Open Access Journal
issn 1664-8021
language English
last_indexed 2024-12-11T22:53:12Z
publishDate 2022-06-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Genetics
spelling doaj.art-763392ee3ee64bef882cc1e1a446fed72022-12-22T00:47:21ZengFrontiers Media S.A.Frontiers in Genetics1664-80212022-06-011310.3389/fgene.2022.904536904536Single-Cell Sequencing Reveals that DBI is the Key Gene and Potential Therapeutic Target in Quiescent Bladder Cancer Stem CellsJiaxi Yao0Jiaxi Yao1Yue Liu2Jitao Yang3Jitao Yang4Mengling Li5Simin Li6Bo Zhang7Rui Yang8Yuchong Zhang9Xiaoyu Cui10Xiaoyu Cui11ChunQing Feng12Department of Urology, The First Affiliated Hospital of China Medical University, Shenyang, ChinaDepartment of Medical Oncology, The First Affiliated Hospital of China Medical University, Shenyang, ChinaDepartment of Urology, The First Affiliated Hospital of China Medical University, Shenyang, ChinaDepartment of Urology, The First Affiliated Hospital of China Medical University, Shenyang, ChinaDepartment of Medical Oncology, The First Affiliated Hospital of China Medical University, Shenyang, ChinaDepartment of Clinical Epidemiology and Center of Evidence-Based Medicine, The First Affiliated Hospital of China Medical University, Shenyang, ChinaDepartment of Clinical Epidemiology and Center of Evidence-Based Medicine, The First Affiliated Hospital of China Medical University, Shenyang, ChinaDepartment of Clinical Epidemiology and Center of Evidence-Based Medicine, The First Affiliated Hospital of China Medical University, Shenyang, ChinaDepartment of Medical Oncology, The First Affiliated Hospital of China Medical University, Shenyang, ChinaDepartment of Medical Oncology, The First Affiliated Hospital of China Medical University, Shenyang, ChinaCollege of Medicine and Biological Information Engineering, Northeastern University, Shenyang, ChinaKey Laboratory of Data Analytics and Optimization for Smart Industry, Northeastern University, Shenyang, ChinaDepartment of Urology Surgery, The Central Hospital Affiliated to Shenyang Medical College, Shenyang, ChinaBackground: Drug resistance and recurrence often develop during the treatment of muscle-invasive bladder cancer (MIBC). The existence of cancer stem cells (CSCs) in MIBC makes the formulation of effective treatment strategies extremely challenging. We aimed to use single-cell RNA sequencing approaches to identify CSCs and evaluate their molecular characteristics and to discover possible therapeutic measures.Methods: GEO data sets GSE130001 and GSE146137 were used to construct an expression matrix. After cells were identified by type, malignant epithelial cells inferred by InferCNV were extracted for stemness evaluation. The subset of cells with the highest stemness was subjected to weighted gene coexpression network analysis (WGCNA) and pseudotime analysis to identify key genes. In addition, we predicted drug sensitivity relationships for key genes in CTD and predicted the correlation between drugs and survival through siGDC.Results: We found that there were some CSCs in MIBC samples. The CSC population was heterogeneous during tumor development and was divided into quiescent and proliferating CSCs. We identified DBI as the key gene in quiescent CSCs. Analysis of a TCGA data set showed that higher DBI expression indicated higher histological grade. In addition, we predicted that acetaminophen can reduce DBI expression, thereby reducing the stemness of CSCs. Thus, we identified a potential new use of acetaminophen.Conclusion: We systematically explored CSCs in tumors and determined that DBI may be a key gene and potential therapeutic target in quiescent CSCs. In addition, we confirmed that acetaminophen may be a candidate drug targeting CSCs, improving our understanding of CSC-targeting therapeutic strategies.https://www.frontiersin.org/articles/10.3389/fgene.2022.904536/fullcancer stem cellsbladder cancerscRNA-seqacetaminophenDBI
spellingShingle Jiaxi Yao
Jiaxi Yao
Yue Liu
Jitao Yang
Jitao Yang
Mengling Li
Simin Li
Bo Zhang
Rui Yang
Yuchong Zhang
Xiaoyu Cui
Xiaoyu Cui
ChunQing Feng
Single-Cell Sequencing Reveals that DBI is the Key Gene and Potential Therapeutic Target in Quiescent Bladder Cancer Stem Cells
Frontiers in Genetics
cancer stem cells
bladder cancer
scRNA-seq
acetaminophen
DBI
title Single-Cell Sequencing Reveals that DBI is the Key Gene and Potential Therapeutic Target in Quiescent Bladder Cancer Stem Cells
title_full Single-Cell Sequencing Reveals that DBI is the Key Gene and Potential Therapeutic Target in Quiescent Bladder Cancer Stem Cells
title_fullStr Single-Cell Sequencing Reveals that DBI is the Key Gene and Potential Therapeutic Target in Quiescent Bladder Cancer Stem Cells
title_full_unstemmed Single-Cell Sequencing Reveals that DBI is the Key Gene and Potential Therapeutic Target in Quiescent Bladder Cancer Stem Cells
title_short Single-Cell Sequencing Reveals that DBI is the Key Gene and Potential Therapeutic Target in Quiescent Bladder Cancer Stem Cells
title_sort single cell sequencing reveals that dbi is the key gene and potential therapeutic target in quiescent bladder cancer stem cells
topic cancer stem cells
bladder cancer
scRNA-seq
acetaminophen
DBI
url https://www.frontiersin.org/articles/10.3389/fgene.2022.904536/full
work_keys_str_mv AT jiaxiyao singlecellsequencingrevealsthatdbiisthekeygeneandpotentialtherapeutictargetinquiescentbladdercancerstemcells
AT jiaxiyao singlecellsequencingrevealsthatdbiisthekeygeneandpotentialtherapeutictargetinquiescentbladdercancerstemcells
AT yueliu singlecellsequencingrevealsthatdbiisthekeygeneandpotentialtherapeutictargetinquiescentbladdercancerstemcells
AT jitaoyang singlecellsequencingrevealsthatdbiisthekeygeneandpotentialtherapeutictargetinquiescentbladdercancerstemcells
AT jitaoyang singlecellsequencingrevealsthatdbiisthekeygeneandpotentialtherapeutictargetinquiescentbladdercancerstemcells
AT menglingli singlecellsequencingrevealsthatdbiisthekeygeneandpotentialtherapeutictargetinquiescentbladdercancerstemcells
AT siminli singlecellsequencingrevealsthatdbiisthekeygeneandpotentialtherapeutictargetinquiescentbladdercancerstemcells
AT bozhang singlecellsequencingrevealsthatdbiisthekeygeneandpotentialtherapeutictargetinquiescentbladdercancerstemcells
AT ruiyang singlecellsequencingrevealsthatdbiisthekeygeneandpotentialtherapeutictargetinquiescentbladdercancerstemcells
AT yuchongzhang singlecellsequencingrevealsthatdbiisthekeygeneandpotentialtherapeutictargetinquiescentbladdercancerstemcells
AT xiaoyucui singlecellsequencingrevealsthatdbiisthekeygeneandpotentialtherapeutictargetinquiescentbladdercancerstemcells
AT xiaoyucui singlecellsequencingrevealsthatdbiisthekeygeneandpotentialtherapeutictargetinquiescentbladdercancerstemcells
AT chunqingfeng singlecellsequencingrevealsthatdbiisthekeygeneandpotentialtherapeutictargetinquiescentbladdercancerstemcells