Novel targeted drugs are currently available for all patients with intrahepatic cholangiocarcinoma (ICC). The goal of this study was to investigate the association between A Disintegrin and Metalloproteinase8/17 (ADAM8/17) and ICC, and to determine whether ADAM8/17 could be a novel target for ICC treatment. The expression of ADAM8/17 in ICC was analyzed using bioinformatics approaches. The occurrence and development of ADAM8/17 and its downstream pathways in ICC were analyzed using two-sample Mendelian randomization (MR) and meta-analysis. The activity of the ADAM8/17 inhibitor was evaluated using a cellular thermal shift assay (CETSA). Antitumor activity and pathway exploration were demonstrated using patient-derived organoid (PDO) models, Transwell, apoptosis assays, cell cycle assays, and western blotting. Bioinformatic analysis revealed that ADAM8 was highly expressed specifically in ICC. MR and meta-analyses have revealed that ADAM8/17 and its downstream Notch signaling pathway are closely related to the occurrence and development of ICC. Molecular docking and CETSA experiments revealed that NY-2 is a molecular inhibitor of ADAM8/17. PDO, MTT, apoptosis, and other experiments have confirmed that NY-2 inhibits the occurrence and progression of ICC. Western blotting confirmed that NY-2 regulates Notch1–HIF1α–VEGFA and Integrinα5–TGFβ–Smad signaling pathways to exert anti-ICC effects. This study revealed that high ADAM8/17 expression is associated with poor prognosis in patients with ICC, ADAM8/17 is a novel antitumor target, and NY-2, a small-molecule compound that targets ADAM8/17, significantly inhibits the occurrence and progression of ICC via Notch1–HIF1α–VEGFA and Integrinα5–TGFβ–Smad signaling pathways. Future research aims to confirm the targeting and clinical application value of compounds through gene editing and orthotopic liver tumor models.
Kaisi Yang, Lei Han, Xiaoxuan Song et al.· Journal of Cancer Research a...· 0 citations
This report summarizes the CHIIR 2026 Workshop on Generative AI and Academic Search (GAI&AS), which examined how GenAI is reshaping academic search systems and research practices. The workshop brought together researchers in human information interaction and information retrieval to explore key challenges and opportunities in designing and evaluating future academic search systems that integrate GenAI, moving beyond traditional document retrieval to support summarization, recommendation, synthesis, and conversational interaction. Participants' interests and discussions focused on three thematic clusters: foundations and principles, applications and opportunities, and search-as-learning. Across these themes, the workshop highlighted the importance of academic search systems in supporting transparency, credibility, research integrity, and long-term scholarly needs, as well as in fostering higher-order cognitive processes. Participants discussed guiding theories, design principles, methodological approaches, partnerships, and community-building efforts aimed at advancing human-centered GenAI-enhanced academic search systems. Overall, the workshop demonstrated strong community interest and a diverse range of ongoing and emerging research initiatives at the intersection of GenAI and academic search. Date: 26 March 2026. Website: https://sites.google.com/view/chiir-gaias-workshop/home.
Zhitong Guan, Anil B. Murthy, Gavindya Jayawardena et al.· UNC Libraries· 0 citations
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