ClinicalTrials.gov
public full text
Public Domain
Clinical Application of Novel Panels for Early Precision Diagnosis and Relapse Prediction in High-risk Leukemia
Based on the investigator's previous data on risk classification for acute leukemia,the investigators will design a set of panels to detect the gene expression and genomic variants (SNPs, mutation, insertion, deletion and fusion genes, etc), and identify the high-risk subtypes of acute leukemia, such as Ph-like acute lymphoblastic leukemia. Furthermore, the target therapy (Tyrosine Kinase Inhibitors,et.al) will be used to treat the identified patients. In addition, more sensitive minimal residual disease (MRD) detection technology will be designed and used to detect the MRD in patients to early predict the disease relapse.
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
- Beat AML Core Study#802158
- Exploration on the Value of MRD Based on ctDNA Detection in Predicting Recurrence of Resected Non-small Cell Lung Cancer#895334
- Risk-Adapted Therapy of Acute Myeloid Leukemia of Adults (18-60 Years) According to the Cytogenetic Result#863308
- Midostaurin in MRD (Minimal Residual Disease) Positive Acute Myeloid Leukemia After Allogeneic Stem Cell Transplantation#863672
- IDH1/IDH2 Mutation Frequency in Acute Myeloblastic Patients#993379
Record · ID 885850
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