Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Identification of common genes and pathways underlying imatinib and nilotinib treatment in CML: a Bioinformatics Study

20 Dec 2023

Abstract excerpt

Imatinib (IMA) and nilotinib are the first and second generations of BCR-ABL tyrosine kinase inhibitors, which widely applied in chronic myeloid leukemia (CML) treatment. Here we aimed to provide new targets for CML treatment by transcriptome analysis. Microarray data GSE19567 was downloaded and analyzed from Gene Expression Omnibus (GEO) to identify common genes, which are downregulated or upregulated in...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Chronic Lymphocytic Leukemia Research
Share to Chronic Myeloid Leukemia Treatments
Share to Myeloproliferative Neoplasms: Diagnosis and Treatment

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 38117080
DOI: 10.1080/15257770.2023.2296021

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Identification of common genes and pathways underlying imatinib and nilotinib treatment in CML: a Bioinformatics StudyPMID 38117080Read ↗

Identification of Common Genes and Pathways Underlying Imatinib and Nilotinib Treatment in CML: a Bioinformatics StudySemantic proximity Read ↗

Identification and validation of hub genes and molecular classifications associated with chronic myeloid leukemiaSemantic proximity Read ↗

In silico analysis of genes and pathways related to acute myeloid leukemia presenting leukopeniaSemantic proximity Read ↗

Molecular subtypes predict therapeutic responses and identifying and validating diagnostic signatures based on machine learning in chronic myeloid leukemiaSemantic proximity Read ↗

Bioinformatics analysis and identification of hub genes and immune-related molecular mechanisms in chronic myeloid leukemiaSemantic proximity Read ↗

Immune-Related Genes for the Prediction of Response to Imatinib therapy in Chronic Myeloid LeukemiaSemantic proximity Read ↗

The Central Importance of Hub Proteins in a Disease-Gene Network Model: A New Paradigm of Chronic Myeloid Leukemia Disease StudySemantic proximity Read ↗

Identification of Novel Genes Implicated in Acute Myeloid Leukemia Progression using Bioinformatics Analysis of Microarray DataSemantic proximity Read ↗

Significance of Gene Diagnosis in Acute Myeloid Leukemia with the Emergence of New Molecular Target Drug Treatment.Semantic proximity Read ↗

Network-based analysis with primary cells reveals drug response landscape of acute myeloid leukemia.Semantic proximity Read ↗

The association of genetic alterations with response rate in newly diagnosed chronic myeloid leukemia patients.Semantic proximity Read ↗

Identification of hub genes and potential molecular mechanisms related to drug sensitivity in acute myeloid leukemia based on machine learningSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.