Genomics

Dataset Information

0

Comparative analysis of BCR-ABL tyrosine kinase inhibitors in BCR-ABL positive K562 cells


ABSTRACT: Tyrosine kinase activity is the crucial enzymatic activity driving all known functions of the BCR-ABL protein and is required for protection from apoptosis by BCR-ABL, therefore, targeting this enzyme is an effective approach for therapeutic strategies. Recently, a novel structural entity, imatinib (STI571; Novartis, Basel, Switzerland), a potent and selective inhibitor of the tyrosine kinase activity of BCR-ABL, has shown promise against Ph-positive leukemia in human clinical trials. However, the emergence of imatinib resistance in patients with acute forms of Ph-positive leukemia has highlighted the need for overriding chemotherapy to eradicate this disease. AMN107 and BMS-354825 are clinically active “next-generation” BCR-ABL inhibitors. One potentially powerful approach is to use these compounds in combination with imatinib. The rationale for such approaches is that an inhibitor cocktail may target the widest range of resistant clones and thereby delay the onset of acquired drug resistance. More potent BCR-ABL inhibitors would be to target residual leukemia that persists in patients in whom imatinib induces durable remission but failed to eradicate the disease. From these points, our studies are performed to determine (1) the differences of molecular signaling pathways between BMS-354825 and imatinib (2) the mechanisms by which drug resistance of BMS-354825 and imatinib occur except for point mutation of BCR-ABL kinase domain. Keywords: drug sensitivity

ORGANISM(S): Homo sapiens

PROVIDER: GSE2810 | GEO | 2006/03/31

SECONDARY ACCESSION(S): PRJNA92407

REPOSITORIES: GEO

Similar Datasets

| E-GEOD-21499 | biostudies-arrayexpress
2010-07-15 | GSE21499 | GEO
2023-05-03 | GSE218451 | GEO
| E-GEOD-56472 | biostudies-arrayexpress
2019-04-17 | GSE119770 | GEO
2015-09-01 | GSE56472 | GEO
2008-03-22 | GSE10912 | GEO
2012-07-06 | GSE36096 | GEO
| E-GEOD-36096 | biostudies-arrayexpress
| E-GEOD-10912 | biostudies-arrayexpress