Results 121 to 130 of about 749,314 (382)
Advanced Science, EarlyView.A GRP78 nanobody‐directed immunotoxin suppresses cancer progression and metastasis by enhancing antitumor immunity via STING pathway activation, offering a pan‐cancer‐targeted approach and immunotherapy combination strategy. Abstract The lack of targetable antigens poses a significant challenge in developing effective cancer‐targeted therapies.
Huifang Wang +16 more
wiley +1 more source
Cancer Communications, Volume 42, Issue 12, Page 1257-1287, December 2022., 2022 Abstract Clustered regularly interspaced short palindromic repeats‐associated protein (CRISPR/Cas9), an adaptive microbial immune system, has been exploited as a robust, accurate, efficient and programmable method for genome targeting and editing. This innovative and revolutionary technique can play a significant role in animal modeling, in vivo genome
Khaled S. Allemailem +6 more
wiley +1 more source
Proteomics Analysis of FLT3-ITD Mutation in Acute Myeloid Leukemia Using Deep Learning Neural Network [PDF]
arXiv, 2017 Deep Learning can significantly benefit cancer proteomics and genomics. In this study, we attempt to determine a set of critical proteins that are associated with the FLT3-ITD mutation in newly-diagnosed acute myeloid leukemia patients. A Deep Learning network consisting of autoencoders forming a hierarchical model from which high-level features are ...
arxiv
Chronic myeloid leukemia: 2018 update on diagnosis, therapy and monitoring
American journal of hematology/oncology, 2018 Chronic myeloid leukemia (CML) is a myeloproliferative neoplasm with an incidence of 1‐2 cases per 100 000 adults. It accounts for approximately 15% of newly diagnosed cases of leukemia in adults.
E. Jabbour, H. Kantarjian
semanticscholar +1 more source
miRNAs in acute myeloid leukemia
Oncotarget, 2016 MicroRNAs (miRNAs) are small, non-coding RNAs found throughout the eukaryotes that control the expression of a number of genes involved in commitment and differentiation of hematopoietic stem cells and tumorigenesis. Widespread dysregulation of miRNAs have been found in hematological malignancies, including human acute myeloid leukemia (AML).
Xia Li +4 more
openaire +4 more sources
Advanced Science, EarlyView.RNF112, an E3 ubiquitin ligase, is markedly reduced in bladder cancer (BLCA). It curbs BLCA cell proliferation, migration, and lipid production primarily by enhancing ubiquitin‐dependent degradation of c‐Myc. This degradation inhibits c‐Myc's role in upregulating ACLY, a crucial enzyme for lipid synthesis, highlighting RNF112's potential as a ...
Kangping Xiong +13 more
wiley +1 more source
Cancer Communications, Volume 42, Issue 12, Page 1387-1402, December 2022., 2022 Abstract Background Patients with refractory or relapsed acute myeloid leukemia (AML) have poor survival, necessitating the exploration of optimized therapeutic strategy. Here, we aimed to investigate clinical outcomes and health‐related quality of life (HR‐QoL) after total therapy, which included allogeneic hematopoietic stem cell transplantation ...
Chen‐hua Yan +13 more
wiley +1 more source
Middle East Journal of Cancer, 2017 Background: Acute myeloid leukemia, as most cancers, results from exposure to carcinogens and an impaired inherited individual capacity to eliminate xenobiotics. The present case-control study measures the relationship between glutathione S-transferase
Ait Boujmia Oum Kaltoum +5 more
doaj
Haematologica, 2014 Acute myeloid leukemia is a neoplasm characterized by recurrent molecular aberrations traditionally demonstrated by cytogenetic analyses. We used high density genome-wide genotyping and gene expression profiling to reveal acquired cryptic abnormalities ...
Saman Abbas +15 more
doaj +1 more source
Application of Deep Learning on Predicting Prognosis of Acute Myeloid Leukemia with Cytogenetics, Age, and Mutations [PDF]
arXiv, 2018 We explore how Deep Learning (DL) can be utilized to predict prognosis of acute myeloid leukemia (AML). Out of TCGA (The Cancer Genome Atlas) database, 94 AML cases are used in this study. Input data include age, 10 common cytogenetic and 23 most common mutation results; output is the prognosis (diagnosis to death, DTD). In our DL network, autoencoders
arxiv