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Glutathione dynamics is a potential predictive and therapeutic trait for neoadjuvant chemotherapy response in bladder cancer

Title
Glutathione dynamics is a potential predictive and therapeutic trait for neoadjuvant chemotherapy response in bladder cancer
Authors
KimYongHwanJuHyeinYooSeung-YeonJeongJinahnHeoJinbeomLeeSeungunParkJa-MinYoonSun YoungSe UnJinyoungYunHongDuckRyuChae-MinJinahNamYun JiKwonHyunguSonJaekyoungGowunOhJi-HyeSungChang OhkEui ManAnJaehoonWonSunghoHongBumsikJae LyunChoYong MeeShinDong-Myung
Ewha Authors
정세운
SCOPUS Author ID
정세운scopus
Issue Date
2023
Journal Title
Cell Reports Medicine
ISSN
2666-3791JCR Link
Citation
Cell Reports Medicine vol. 4, no. 10
Keywords
bladder cancercombination therapydigital pathologyglutaminase-1glutathioneneoadjuvant chemotherapy
Publisher
Cell Press
Indexed
SCIE; SCOPUS WOS scopus
Document Type
Article
Abstract
Radical cystectomy with preoperative cisplatin-based neoadjuvant chemotherapy (NAC) is the standard care for muscle-invasive bladder cancers (MIBCs). However, the complete response rate to this modality remains relatively low, and current clinicopathologic and molecular classifications are inadequate to predict NAC response in patients with MIBC. Here, we demonstrate that dysregulation of the glutathione (GSH) pathway is fundamental for MIBC NAC resistance. Comprehensive analysis of the multicohort transcriptomes reveals that GSH metabolism and immune-response genes are enriched in NAC-resistant and NAC-sensitive MIBCs, respectively. A machine-learning-based tumor/stroma classifier is applied for high-throughput digitalized immunohistochemistry analysis, finding that GSH dynamics proteins, including glutaminase-1, are associated with NAC resistance. GSH dynamics is activated in cisplatin-resistant MIBC cells, and combination treatment with a GSH dynamics modulator and cisplatin significantly suppresses tumor growth in an orthotopic xenograft animal model. Collectively, these findings demonstrate the predictive and therapeutic values of GSH dynamics in determining the NAC response in MIBCs. © 2023 The Author(s)
DOI
10.1016/j.xcrm.2023.101224
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의료원 > 의료원 > Journal papers
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