CD135 _ FLT3
- Known as:
- CD135 _ FLT3
- Catalog number:
- NBP1-00822
- Product Quantity:
- 0.1 mg
- Category:
- -
- Supplier:
- ACR
- Gene target:
- CD135 _ FLT3
Related genes to: CD135 _ FLT3
- Gene:
- FLT3 NIH gene
- Name:
- fms related tyrosine kinase 3
- Previous symbol:
- -
- Synonyms:
- STK1, FLK2, CD135
- Chromosome:
- 13q12.2
- Locus Type:
- gene with protein product
- Date approved:
- 1990-07-30
- Date modifiied:
- 2019-04-23
Related products to: CD135 _ FLT3
AC220 AC220 is a uniquely potent and selective FLT3 inhibitor with IC50 of 0.56 +_- 0.3 nM and >10 mM for MC4-11 and A375, respectively. For research use only.anti-Flt3 CD135 (1A11)anti-Flt3 CD135 (1A11) type: Primary antibodies host: Mouseanti-Flt3 CD135 (3H1)anti-Flt3 CD135 (3H1) type: Primary antibodies host: Mouseanti-FLT3 CD135 (BV10A4H2)anti-FLT3 CD135 (BV10A4H2) type: Primary antibodies host: Mouseanti-FLT3 CD135 (Internal)anti-FLT3 (Ab-591)anti-FLT3 (Ab-591)anti-FLT3 (Ab-591)anti-FLT3 (Ab-591), Rabbit polyclonal to FLT3, Isotype IgG, Host Rabbitanti-FLT3 (Ab-591), Rabbit polyclonal to FLT3, Isotype IgG, Host RabbitAnti-FLT3 (BV10A4H2), Mouse Monoclonal to FLT3, Isotype IgG1, Host Mouseanti-FLT3 (Phospho-Tyr591) Related articles to: CD135 _ FLT3
- FMS-like tyrosine kinase 3 (FLT3) internal tandem duplication (FLT3-ITD) is a well-characterized genetic alteration associated with poor prognosis in acute myeloid leukemia (AML). Although FLT3 inhibitors, such as gilteritinib and quizartinib, initially show clinical efficacy, resistance frequently emerges because of secondary mutations. Through a kinase inhibitor library screen, we identified XL999, which exhibits potent antileukemic activity across diverse FLT3-mutant AML cell lines and primary patient samples. Mechanistically, biochemical and molecular docking analyses revealed that XL999 directly binds to FLT3-ITD, potentially independent of the common F691 resistance site, thereby suppressing downstream signaling pathways to induce cell cycle arrest and apoptosis. In preclinical mouse models harboring refractory FLT3-ITD-D835Y or ITD-F691L mutations, oral administration of XL999 effectively reduced the leukemic burden across the peripheral blood, spleen, and bone marrow, significantly prolonging survival compared with gilteritinib and quizartinib, with no overt systemic toxicity observed in short-term mouse tolerability studies. Furthermore, XL999 demonstrated robust efficacy in patient-derived xenograft models, complemented by a favorable oral bioavailability profile. Together, these findings suggest that XL999 may represent an orally bioavailable FLT3 inhibitor with the potential to overcome clinically relevant secondary resistance mutations in FLT3-ITD-positive AML, supporting its further investigation as a therapeutic candidate. - Source: PubMed
Publication date: 2026/09/04
Wang ShiyangZhang YvyinZhong ZhiweiHe JiajunFan JiaqiXiang QiYang FangfangZhang YupingWang ShunqingWang Peihong - Clonal hematopoiesis of indeterminate potential (CHIP) is a precursor condition characterized by the expansion of mutant hematopoietic stem and progenitor cell (HSPC) clones that increases the risk of hematologic malignancies. Although genome-wide association studies have identified multiple non-coding loci associated with CHIP susceptibility, their mechanisms remain unclear. We hypothesized that CHIP risk variants alter enhancer activity in HSPCs. To test this, we screened 1,374 non-coding variants from 51 CHIP-associated loci using a Massively Parallel Reporter Assay (MPRA) in the CD34+ fraction of MUTZ-3 cells. We identified 87 regulatory variants across 32 loci. Targeted genome editing in hematopoietic cells and complementary reporter assays in primary human HSPCs validated enhancer activity for variants regulating NKD2, FLT3, and MSI2. Functional studies demonstrated that increased MSI2 expression, modeling the effect of the CHIP risk allele, promotes clonal expansion of TET2-deficient HSPCs, providing a mechanistic link between inherited non-coding variation and CHIP clonal expansion. - Source: PubMed
Publication date: 2026/09/03
Nguyen TrieuJeejan JessicaIwasaki TakeshiKales SusanChakraborty JoyeetaYanase ChieShekhar ArunaKwasniak DominikaHegde AditiVoit RichardWeinstock JoshuaStengel Kristy RIto KeisukeTewhey RyanNandakumar Satish K - Not available. - Source: PubMed
Publication date: 2026/09/03
Marvin-Peek JenniferDiNardo Courtney D - The phase 3, open-label LACEWING study evaluated efficacy and safety of the FMS-like tyrosine kinase 3 (FLT3) inhibitor gilteritinib (GIL) plus azacitidine (AZA) in newly diagnosed (ND) FLT3-mutated (FLT3mut+) acute myeloid leukemia (AML) ineligible for intensive induction chemotherapy (IIC). Patients were enrolled into a safety cohort (n=15) or randomized (n=168) to GIL+AZA, GIL, or AZA. We present final (6.5-year) outcomes and additional data on mutational subgroups, measurable residual disease (MRD), and pharmacokinetics. Median overall survival (OS) was 9.82 versus 9.23 months (GIL+AZA vs AZA, p=0.182) and 5.24 months (GIL). Corresponding two-year OS rates were 18.8%, 12.9%, and 4.5%. Overall response rates were 70.2% versus 36.8% (GIL+AZA vs AZA, nominal p. - Source: PubMed
Publication date: 2026/09/03
Wang Eunice SMontesinos PauMinden Mark DSibai HassanLee Je-HwanHeuser MichaelNaoe TomokiChou Wen-ChienLaribi KamelEsteve JordiAltman Jessica KHavelange ViolaineWatson Anne-MarieFumagalli MonicaPatkowska ElzbietaHill Jason EGill Stanley CPandya Bhavik JChen CarolineHasabou Nahla - Feline McDonough sarcoma (FMS)-like tyrosine kinase 3 internal tandem duplication (FLT3-ITD) mutations are clinically important in acute myeloid leukaemia (AML). We developed and validated a machine learning model using routine laboratory tests to estimate the probability of FLT3-ITD mutations in newly diagnosed AML to prioritise rapid molecular testing. Consecutive patients treated at Ruijin Hospital during 2021-2024 were included. Those diagnosed in 2021-2023 comprised the training cohort, and those in 2024 formed the internal temporal validation cohort, and the BeatAML2 cohort served as external validation. Following Boruta feature selection, seven machine learning algorithms were evaluated via area under the receiver operating characteristic curve (AUC). The optimal model was interpreted using SHapley Additive exPlanations (SHAP) and deployed as a web-based calculator. Overall, 514 patients were included (training, n = 254; validation, n = 84; external validation, n = 176). Boruta algorithm selected five candidate features, and a simple four-feature model was constructed. Gradient boosting machine (GBM) performed best, with AUCs of 0.847, 0.772 and 0.760 in the training, internal validation and external validation cohorts respectively. SHAP analysis showed absolute blast count contributed most to the model. The GBM model may help identify patients with newly diagnosed AML who should be prioritised for rapid molecular testing for FLT3-ITD mutations. - Source: PubMed
Publication date: 2026/09/02
Song JunjunGu ZhichaoHan JinZhang YuqingZhao LinglingYan HanLu JingShen YangZhu Yongmei