Uptake of synthetic low density lipoprotein by leukemic stem cells — a potential stem cell targeted drug delivery strategy [PDF]
, 2010 Chronic Myeloid Leukemia (CML) stem/progenitor cells, which over-express Bcr-Abl, respond to imatinib by a reversible block in proliferation without significant apoptosis.
Alison M. Michie +47 more
core +1 more source
Drug‐Induced Liver Injury Associated With Emerging Cancer Therapies
Liver International, Volume 45, Issue 2, February 2025.ABSTRACT Targeted therapies and immunotherapies have shown great promise as best‐in‐class treatments for several cancers with respect to efficacy and safety. While liver test abnormalities are rather common in patients treated with kinase inhibitors or immunotherapy, events of severe hepatotoxicity in these patients are rare in comparison with those ...
Piotr Chodup +3 more
wiley +1 more source
Early Risk Prediction of Chronic Myeloid Leukemia with Protein Sequences using Machine Learning-based Meta-Ensemble [PDF]
arXiv, 2023 Leukemia, the cancer of blood cells, originates in the blood-forming cells of the bone marrow. In Chronic Myeloid Leukemia (CML) conditions, the cells partially become mature that look like normal white blood cells but do not resist infection effectively.
arxiv
Monitoring Twenty-Six Chronic Myeloid Leukemia Patients by BCR-ABL mRNA Level in Bone Marrow: A Single Hospital Experience [PDF]
, 2011 Chronic myeloid leukemia (CML) is caused by the BCR-ABL oncogene. The Philadelphia chromosome (Ph) from a reciprocal translocation, t(9;22) (q34;q11) causes a fusion gene, BCR-ABL, that encodes a constitutively active tyrosine kinase. Treatment of CML by
Akagi, Tomoaki +9 more
core +1 more source
Elevated CA15‐3 Levels in Myeloid Disorders: Clinicopathological Correlation
European Journal of Cancer Care, Volume 2025, Issue 1, 2025.Background: Serum tumor markers are beneficial to patients with advanced cancer because they help in early diagnosis, determining prognosis, predicting response to certain medications, and monitoring therapy. The prognostic value of cancer antigen 15‐3 (CA15‐3) serum‐level changes in breast cancer is very well established.
Samah Saharti +2 more
wiley +1 more source
ACUTE UNDIFFERENTIATED LEUKEMIA WITH BCR-ABL TRANSLOCATION: CASE REPORT AND LITERATURE REVIEW
Hematology, Transfusion and Cell Therapy, 2021 The 2016 WHO classification defines acute undifferentiated leukemia (AUL) as a rare type of acute leukemia (AL) without defining markers for either lymphoid or myeloid lineage commitment.
AC Cortez +5 more
doaj
Cholesterol esterification inhibition and imatinib treatment synergistically inhibit growth of BCR-ABL mutation-independent resistant chronic myelogenous leukemia [PDF]
, 2017 Since the advent of tyrosine kinase inhibitors (TKIs) such as imatinib, nilotinib, and dasatinib, chronic myelogenous leukemia (CML) prognosis has improved greatly. However, ~30-40% of patients develop resistance to imatinib therapy.
Bandyopadhyay, Shovik +6 more
core +3 more sources
Advanced Chinese Medicine, Volume 1, Issue 4, Page 179-189, December 2024.Abstract AXL belongs to the TAM receptor tyrosine kinase family. Relying on binding its high‐affinity ligand—growth arrest‐specific protein 6 (Gas6)—AXL plays an important role in tumor initiation and progression. Traditional Chinese Medicine (TCM) has been clinically used in tumor treatment for a long time, and remarkable therapeutic efficacy has been
Yuan Yuan +6 more
wiley +1 more source
Periodic Oscillations of Blood Cell Populations in Chronic Myelogenous Leukemia [PDF]
arXiv, 2004 We develop some techniques to prove analytically the existence and stability of long period oscillations of stem cell populations in the case of periodic chronic myelogenous leukemia. Such a periodic oscillation $p_\infty $ can be analytically constructed when the hill coefficient involved in the nonlinear feedback is infinite, and we show it is ...
arxiv
A New Deep Learning and XAI-Based Algorithm for Features Selection in Genomics [PDF]
arXiv, 2023 In the field of functional genomics, the analysis of gene expression profiles through Machine and Deep Learning is increasingly providing meaningful insight into a number of diseases. The paper proposes a novel algorithm to perform Feature Selection on genomic-scale data, which exploits the reconstruction capabilities of autoencoders and an ad-hoc ...
arxiv