Results 111 to 120 of about 81,713 (355)

High CX3CR1 expression predicts poor prognosis in paediatric acute myeloid leukaemia undergoing hyperleukocytosis

open access: yesInternational Journal of Laboratory Hematology, Volume 45, Issue 1, Page 53-63, February 2023., 2023
Abstract Introduction Paediatric AML patients with hyperleukocytosis have a poor prognosis and higher early mortality. Therefore, more studies are needed to explore relevant prognostic indicators and develop effective prevention strategies for this type of childhood AML. Methods All original data were obtained from the TARGET database.
Nan Mei   +6 more
wiley   +1 more source

A comprehensive microarray-based DNA methylation study of 367 hematological neoplasms [PDF]

open access: yes, 2011
Background: Alterations in the DNA methylation pattern are a hallmark of leukemias and lymphomas. However, most epigenetic studies in hematologic neoplasms (HNs) have focused either on the analysis of few candidate genes or many genes and few HN entities,
Agirre, Xabier   +34 more
core  

CHARACTERIZATION OF UMAMI TASTE SENSITIVITY IN CHILDREN WITH AND WITHOUT CANCER [PDF]

open access: yes, 2014
INTRODUCTION: The umami taste comes from glutamate and 5 ribonucleotides including inosinate and guanylate, which appear naturally in many foods. It can be identified by monosodium glutamate, being considered as a subtle taste, but blending well with ...
Elman Ilana   +3 more
core   +1 more source

A case report of secondary B-cell acute lymphoblastic leukemia treated with a combination of FLT3 inhibitor and decitabine

open access: yesFrontiers in Oncology
Secondary acute lymphoblastic leukemia (s-ALL) refers to acute lymphoblastic leukemia that occurs after a previous malignant tumor, including therapy-related acute lymphoblastic leukemia (t-ALL) and prior malignant tumor acute lymphoblastic leukemia (pm ...
Mengci Hu   +5 more
doaj   +1 more source

Gastrointestinal B-lymphoblastic lymphoma in a dog: a case report

open access: yesVeterinární Medicína, 2018
A four-year-old Bullmastiff weighing 44 kg was presented with a 14-day history of weight loss, vomiting and diarrhoea. Abdominal ultrasonography showed the presence of abdominal lymphadenopathy and thickening of the wall of the descending colon ...
P. Borska   +5 more
doaj   +1 more source

FNA based diagnosis of head and neck nodal lymphoma [Citomorfološka dijagnoza limfoma u području glave i vrata] [PDF]

open access: yes, 2010
Fine-needle aspiration (FNA) biopsy has become a well established technique in the diagnosis, staging, and follow-up of patients with head and neck lesions.
Aurer, Igor   +8 more
core  

Oncologic Emergencies: Immune-Based Cancer Therapies and Complications [PDF]

open access: yes, 2020
Cancer therapies have undergone several recent advancements. Current cancer treatments include immune-based therapies comprised of checkpoint inhibitors, and adoptive immunotherapy; each treatment has the potential for complications that differ from ...
Brém, Elizabeth   +2 more
core  

The role of miRNA in haematological malignancy [PDF]

open access: yes, 2013
Currently, there are over 1,800 annotated human miRNAs, many of which have tissue-specific expression. Numerous studies have highlighted their role in haematopoietic differentiation and proliferation, acting as master regulators of haematopoietic stem ...
Chevassut, Timothy   +1 more
core   +2 more sources

Multifocal precursor B-cell lymphoblastic lymphoma in an infant with cardiac involvement: A case report

open access: yesRadiology Case Reports, 2021
Lymphoma with cardiac involvement is a high-risk lesion, especially in children. We report a rare clinical case of multifocal precursor B-cell lymphoblastic lymphoma in a child with cardiac involvement.
Tran Phan Ninh, MD, PhD   +7 more
doaj  

Automated Diagnosis of Lymphoma with Digital Pathology Images Using Deep Learning [PDF]

open access: yesarXiv, 2018
Recent studies have shown promising results in using Deep Learning to detect malignancy in whole slide imaging. However, they were limited to just predicting positive or negative finding for a specific neoplasm. We attempted to use Deep Learning with a convolutional neural network algorithm to build a lymphoma diagnostic model for four diagnostic ...
arxiv  

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