Transcriptomics‐Based Liquid Biopsy for Early Detection of Recurrence in Locally Advanced Gastric Cancer
Abstract: The study presents a transcriptomics‐based liquid biopsy approach for early recurrence detection in locally advanced gastric cancer (LAGC). Four mRNA biomarkers (AGTR1, DNER, EPHA7, and SUSD5) linked to recurrence are identified through transcriptomic data analysis. A Risk Stratification Assessment (RSA) model combining these biomarkers with clinical features showed superior predictive accuracy for postoperative recurrence, with AUCs of 0.919 and 0.935 in surgical and liquid biopsy validation cohorts, respectively. Functional studies using human gastric cancer cell lines AGS and HGC‐27 demonstrated that silencing the identified mRNA panel genes impaired cell migration, invasion, and proliferation. In vivo experiments further showed reduced tumor growth, metastasis, and lymphangiogenesis in mice, possibly mediated by the cAMP signaling pathway. This non‐invasive approach offers significant potential for enhancing recurrence detection and enabling personalized treatment strategies, thereby improving patient outcomes in the management of LAGC.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Transcriptomics‐Based Liquid Biopsy for Early Detection of Recurrence in Locally Advanced Gastric Cancer ; day:18 ; month:11 ; year:2024 ; extent:19
Advanced science ; (18.11.2024) (gesamt 19)
- Urheber
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Ding, Ping'an
Wu, Jiaxiang
Wu, Haotian
Li, Tongkun
Niu, Xiaoman
Yang, Peigang
Guo, Honghai
Tian, Yuan
He, Jinchen
Yang, Jiaxuan
Gu, Renjun
Zhang, Lilong
Meng, Ning
Li, Xiaolong
Guo, Zhenjiang
Meng, Lingjiao
Zhao, Qun
- DOI
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10.1002/advs.202406276
- URN
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urn:nbn:de:101:1-2411191321323.640752352377
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:27 MESZ
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Beteiligte
- Ding, Ping'an
- Wu, Jiaxiang
- Wu, Haotian
- Li, Tongkun
- Niu, Xiaoman
- Yang, Peigang
- Guo, Honghai
- Tian, Yuan
- He, Jinchen
- Yang, Jiaxuan
- Gu, Renjun
- Zhang, Lilong
- Meng, Ning
- Li, Xiaolong
- Guo, Zhenjiang
- Meng, Lingjiao
- Zhao, Qun
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