[Halving Time of <i>BCR-ABL</i> Transcripts as a Precise Predictor for Deep Molecular Response in Patients with Chronic Myeloid Leukemia Treated with TKI].

In addition to <i>BCR-ABL</i><sup>IS</sup> level, HT of <i>BCR-ABL</i><sup>IS</sup> can be used as another important predictor of treatment efficacy in CML patients. The combination of <i>BCR-ABL</i><sup>IS</sup> level and HT has a more accurate predictive value for long-term molecular response of CML patients after TKI treatment.

Authors

Institutions

Publication Details

Journal
PubMed
Published
2024-10-01
DOI
https://doi.org/10.19746/j.cnki.issn.1009-2137.2024.05.007
Primary Topic
Chronic Myeloid Leukemia Treatments
Type
article
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

[Halving Time of BCR-ABL Transcripts as a Precise Predictor for Deep Molecular Response in Patients with Chronic Myeloid Leukemia Treated with TKI].

Lixia Cao, Yanqiu Han, Huijuan Ren, Lan Yang
PubMed
Chronic Myeloid Leukemia Treatments
article

[Halving Time of BCR-ABL Transcripts as a Precise Predictor for Deep Molecular Response in Patients with Chronic Myeloid Leukemia Treated with TKI].

Lixia Cao, Yanqiu Han, Huijuan Ren, Lan Yang
article en

Abstract

In addition to <i>BCR-ABL</i><sup>IS</sup> level, HT of <i>BCR-ABL</i><sup>IS</sup> can be used as another important predictor of treatment efficacy in CML patients. The combination of <i>BCR-ABL</i><sup>IS</sup> level and HT has a more accurate predictive value for long-term molecular response of CML patients after TKI treatment.

PubMedVol. 32(5)
Inner Mongolia Medical University (CN)
Chronic Myeloid Leukemia Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.