R1498
R1498 is a multi-target kinase inhibitor with anti-angiogenic and anti-proliferative activities. R1498 mainly targets targets such as Aurora kinase and VEGFR2, which are associated with tumor development. R1498 showed moderate in vitro growth inhibition in a variety of tumor cells, with IC50 values in the micromolar range. R1498 showed anti-tumor efficacy superior to sorafenib in a variety of gastric cancer and hepatocellular carcinoma xenograft models, with tumor growth inhibition rates exceeding 80%, and tumor shrinkage was observed in some models. R1498 showed a 10-30% tumor shrinkage rate in three xenograft models derived from human primary gastric cancer tumors, further demonstrating its inhibitory potential. R1498 effectively inhibited Aurora A activity in vivo and reduced tumor vascularization.
Nur für Forschungszwecke. Wir verkaufen nicht an Patienten.
- CAS. Nr.: 303196-31-8
- Formel: C18H15ClN4O
- Molecular Weight:338.79
-
Speicherung:
Please store the product under the recommended conditions in the Certificate of Analysis.
Alle Endogenous Metabolite Isoform-spezifische Produkte anzeigen
More
Biologische Aktivität
Beschreibung
Chemical Information
-
CAS. Nr. 303196-31-8
-
Molecular Weight 338.79
-
Formel C18H15ClN4O
-
SMILES
ClC1=C(C2=NC3=C(C)NN=C3NC4=C2C=C(OC)C=C4)C=CC=C1
-
Versand
Room temperature in continental US; may vary elsewhere.
-
Speicherung
Please store the product under the recommended conditions in the Certificate of Analysis.
Protokoll
-
Cell Cytotoxicity Assay
Cytotoxicity assays are usually based on the assessment of cell membrane damage, which can also be indirectly detected by measuring cell viability. Detection methods include MTT assay, CKK-8 assay, LDH assay and ATP assay, etc.
-
Patient-Derived Xenograft (PDX)
Patient-derived xenograft (PDX) models are generated by engrafting primary human tumor tissue directly into immunodeficient mice, allowing in vivo propagation of patient tumor biology without initial in vitro adaptation. These models are used to preserve key histopathological and molecular characteristics of the original tumor and enable assessment of tumor growth dynamics and therapeutic response in a living organism. The biological readout is tumor engraftment and subsequent growth in the murine host, which reflects the ability of human tumor cells to survive, vascularize, and expand in an immunocompromised microenvironment.
-
Patient-Derived Orthotopic Xenograft (PDOX)
Patient-derived orthotopic xenograft (PDOX) modeling implants fresh patient tumor tissue or patient-derived tumor cells into the anatomically corresponding organ or tissue site of immunodeficient mice, usually by surgical orthotopic implantation, to preserve patient tumor histology, local microenvironmental context, invasion, metastatic behavior, and treatment-response features better than subcutaneous implantation. PDOX readouts include tumor engraftment, orthotopic tumor growth, local invasion, metastasis, recurrence after resection, histologic similarity to the donor tumor, biomarker retention, molecular concordance, survival, and response or resistance to therapy. PDOX models are used for preclinical drug testing and individualized therapy evaluation, but engraftment success varies by tumor type and specimen quality.
-
Splenic/Portal-Vein Liver Metastasis Xenograft
Splenic and portal-vein liver metastasis xenograft models deliver tumor cells into the portal circulation so that cells reach the liver first and form hepatic metastatic lesions; splenic injection uses the spleen as an access route to the portal system, while direct portal-vein injection introduces cells into the portal vein without requiring splenectomy. The assay detects liver colonization, intrahepatic tumor growth, tumor distribution, treatment response, survival, and liver-metastasis microenvironment changes; readouts include bioluminescence or fluorescence imaging, gross liver nodule counts, liver weight or tumor burden, histology, and survival.
-
Liver Cancer Modeling
Liver cancer can be classified into primary liver cancer and secondary liver cancer. Secondary liver cancer is the metastatic liver cancer. Primary liver cancer includes hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma (ICC) and fibrolamellar HCC, of which HCC is the most common form, accounting for approximately 90% of primary liver cancers[1]. HCC mouse models include chemical agent-induced models, transplanted tumor models, and genetic engineered models.
-
Subcutaneous Cell-Line-Derived Xenograft
Subcutaneous cell-line-derived xenograft (CDX) models are established by implanting cultured human cancer cell lines into immunodeficient mice, where the injected cells form localized tumors that can be monitored in vivo as a measure of tumorigenic potential, growth kinetics, and treatment response. These models are widely used in oncology research because they allow reproducible tumor formation and enable comparative assessment of tumor growth between different cell lines or genetic manipulations in a controlled in vivo microenvironment. Subcutaneous implantation of cancer cells in immunodeficient mice is a standard approach for evaluating tumor growth behavior and therapeutic response across multiple cancer types, including prostate, esophageal, pancreatic, and colon cancer models.
-
Orthotopic Cell-Line Xenograft
Orthotopic cell-line xenograft models involve implantation of human cancer cell lines into the anatomically corresponding organ of immunodeficient mice to reproduce tumor growth within a native microenvironment, enabling more clinically relevant tumor behavior compared with subcutaneous models. These models are widely used because orthotopic placement better recapitulates tumor progression, including invasion and metastatic spread, which are often underrepresented in heterotopic implantation systems. Compared with conventional xenografts, orthotopic implantation is described as more technically complex but provides improved simulation of tumor-microenvironment interactions and metastatic behavior, making it particularly valuable for translational oncology research. Surgical orthotopic implantation approaches have been emphasized as enabling faithful reproduction of clinical cancer features, including metastasis and disease progression patterns that align with the tumor’s organ of origi
-
Cell Viability Determination by MTT Colorimetric Assay
The following protocol uses the MTT colorimetric assay as a classic literature-established method for assessing cell viability/metabolic activity in cultured mammalian cells. MTT[3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide] is reduced by metabolically active cells to a colored formazan product; the amount of formazan is quantified spectrophotometrically and provides an indirect measure of metabolically active viable cells. Importantly, MTT reduction reflects cellular oxidoreductase/metabolic activity rather than an absolute direct count of living cells, so changes in cellular metabolism can alter the signal independently of cell number.
-
Intraperitoneal/Peritoneal Dissemination Xenograft
Intraperitoneal (IP) or peritoneal dissemination xenograft models are based on the introduction of human cancer cells into the peritoneal cavity of immunodeficient mice, where they attach to peritoneal surfaces, form multicellular aggregates or spheroids, and progressively generate disseminated tumor nodules that mimic advanced peritoneal metastatic disease. These models are widely used to study ovarian cancer progression, tumor-microenvironment interactions, and intraperitoneal therapeutic responses, often incorporating bioluminescence or fluorescence imaging to longitudinally monitor tumor burden in vivo. The biological principle relies on the capacity of tumor cells such as SKOV3 or related ovarian carcinoma lines to survive in suspension, aggregate within ascites-like fluid, adhere to mesothelial surfaces, and invade peritoneal organs, thereby recapitulating human peritoneal carcinomatosis patterns observed in advanced disease.
Reinheit & Dokumentation
Verweise
Calculators
Konzentration (Stammlösung) × Volumen (Stammlösung) = Konzentration (Ziellösung) × Volumen (Ziellösung)