ArticleCancer science2020
Antitumor activity of a novel oral signal transducer and activator of transcription 3 inhibitor YHO-1701.
Article in Cancer science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 16 citations in OpenAlex.
- STAT3 signaling inhibitors for cancer treatment.Trends in pharmacological sciences · 2026Review
- Evaluating the specific STAT3 inhibitor YHO-1701 in ovarian cancer cell lines and patient-derived cell models: efficacy, mechanisms, and therapeutic potential.Journal of gynecologic oncology · 2025Article
- BP1003 Decreases STAT3 Expression and Its Pro-Tumorigenic Functions in Solid Tumors and the Tumor Microenvironment.Biomedicines · 2024Article
- Three-Component Synthesis of Quinoline-4-carboxylic Acids Based on Doebner Hydrogen-Transfer Reaction.The Journal of organic chemistry · 2023Article
- Combined therapeutic effect of YHO-1701 with PD-1 blockade is dependent on natural killer cell activity in syngeneic mouse models.Cancer immunology, immunotherapy : CII · 2023Article
- Quassinoid analogs exert potent antitumor activity via reversible protein biosynthesis inhibition in human colorectal cancer.Biochemical pharmacology · 2023Article
- Review
- The multifaceted role of STAT3 pathway and its implication as a potential therapeutic target in oral cancer.Archives of pharmacal research · 2022Review
- STAT3 inhibition suppresses adaptive survival of ALK-rearranged lung cancer cells through transcriptional modulation of apoptosis.NPJ precision oncology · 2022Article
- Digesting the Role of JAK-STAT and Cytokine Signaling in Oral and Gastric Cancers.Frontiers in immunology · 2022Review
- Efficacy of combination treatment using YHO-1701, an orally active STAT3 inhibitor, with molecular-targeted agents on cancer cell lines.Scientific reports · 2021Article
- Antitumor activity of a novel oral signal transducer and activator of transcription 3 inhibitor YHO-1701.Cancer science · 2020Article
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
The signal transducer and activator of transcription 3 (STAT3) signaling pathway is a key mediator of cancer cell proliferation, survival and invasion. Aberrant STAT3 has been demonstrated in various malignant cancers. YHO-1701 is a novel quinolinecarboxamide derivative generated from STX-0119. Here, we examined the effect of YHO-1701 on STAT3 and evaluated antitumor activity of YHO-1701 as a single agent and in combination. YHO-1701 inhibited STAT3-SH2 binding to phospho-Tyr peptide selectively and more potently than STX-0119 in biochemical assays. Molecular docking studies with STAT3 suggested more stable interaction of YHO-1701 with the SH2 domain. YHO-1701 exhibited approximately 10-fold stronger activity than STX-0119 in abrogating the STAT3 signaling pathway of human oral cancer cell line SAS. YHO-1701 also blocked multi-step events by inhibiting STAT3 dimerization and suppressed STAT3 promoter activity. As expected, YHO-1701 exerted strong antiproliferative activity against human cancer cell lines addicted to STAT3 signaling. Orally administered YHO-1701 showed statistically significant antitumor effects with long exposure to high levels of YHO-1701 at tumor sites in SAS xenograft models. Moreover, combination regimen with sorafenib led to significantly stronger antitumor activity. In addition, the suppression level of survivin (a downstream target) was superior for the combination as compared with monotherapy groups within tumor tissues. Thus, YHO-1701 had a favorable specificity for STAT3 and pharmacokinetics after oral treatment; it also contributed to the enhanced antitumor activity of sorafenib. The evidence presented here provides justification using for this approach in future clinical settings.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.