인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Bladder cancer (BLCA) is the predominant type of urothelial carcinoma in urinary system, and resistance to cisplatin-based chemotherapy substantially worsens clinical outcomes, presenting a major therapeutic obstacle. In this study, we integrated genome-wide association study (GWAS) data with expression quantitative trait loci (eQTL) analyses, and applied Mendelian randomization (MR) to assess the causal effects of eQTLs from 19,942 genes on BLCA. By incorporating scRNA-seq data, our study also identifies differentially expressed genes (DEGs) in cisplatin-resistant BLCA cells and examined their causal associations with BLCA, aiming to elucidate genetic drivers of chemoresistance and tumor progression. Through this integrated approach, we identified the eQTL of the ARHGEF12 gene as a key mediator of cisplatin resistance. Bioinformatic analysis revealed that elevated ARHGEF12 expression was strongly associated with activation of the PI3K/Akt signaling pathway. To define ARHGEF12's role in cisplatin resistance, we established a cisplatin-resistant UM-UC-3/DDP model. Silencing ARHGEF12 markedly reduced chemoresistance, increased apoptotic cell death, and induced pronounced morphological changes. Pharmacological modulation with the ROCK inhibitor Y-27632 and a rescue assay with the Akt activator SC79 supported a model in which ARHGEF12 drives chemoresistance via RhoA/ROCK-dependent activation of the PI3K/AKT axis. This study is the first to integrate MR with single-cell transcriptomics to explore the genetic contribution to cisplatin resistance in BLCA. Our results uncover a novel mechanistic role of ARHGEF12 in BLCA progression and chemoresistance and suggest it as a potential therapeutic target for precision treatment strategies.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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