ClinicalTrials.gov
public full text
Public Domain
Prospective Investigation of Dynamics of ABL Mutations in Imatinib Failed CML Patients Treated With Nilotinib
The purposes of this study are to investigate expression and frequency of ABL point mutations, a major cause of resistance in imatinib failed CML Asian patients and to find causes of Asian-specific resistance to cancer-targeting therapies through a prospective investigation of dynamics of point mutations and expression of new point mutations during nilotinib treatment.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Nilotinib-Chemotherapy in CML Myeloid BP or Bcr-abl(+) AML#900843
- The Combination of Anlotinib and Immune Checkpoint Inhibitors for Advanced NSCLC Patients With Muti-line Therapy#426763
- Mechanisms Responsible for Nilotinib Resistance in Human Chronic Myeloid Leukemia Cells and Reversal of Resistance#1027389
- Comparison of Prognostic Scores in Chronic Myeloid Leukemia (Cml) Patients with Bcr-Abl Mutation Types B3a2 and B2a2 in Dr. Sardjito General Hospital#930419
- Multicenter Single-arm Pilot Study Evaluating Efficacy of Nilotinib in CML Patients With Molecular Relapse After Glivec Discontinuation Within the Context of the STIM Trials (STIM and STIM2)#887186
Record · ID 878696
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive