scholarly journals Expression of Concern on “TLR Stimulation of Bone Marrow Lymphoid Precursors from Childhood Acute Leukemia Modifies Their Differentiation Potentials”

2021 ◽  
Vol 2021 ◽  
pp. 1-1
Author(s):  
BioMed Research International

2009 ◽  
Vol 12 (1) ◽  
pp. 21-35 ◽  
Author(s):  
O Gra ◽  
Zh Kozhekbaeva ◽  
O Makarova ◽  
E Samochatova ◽  
T Nasedkina

Polymorphism of Biotransformation Genes and Risk of Relapse in Childhood Acute LeukemiaLeukemia is a hematological malignancy that involves bone marrow. Polymorphism of biotransformation genes plays an important role in primary childhood leukemia and affects the incidence and character of acute leukemia relapse. A biochip designed to assess some polymorphisms of biotransformation genes was used to determine the frequency of the polymorphic variants ofCYP1A1, CYP2D6, GSTT1, GSTM1, MTHFR, MTRR, NQO1, CYP2C9, CYP2C19andNAT2in 332 children with acute lymphoblastic leukemia (ALL) and 71 children with acute myeloblastic leukemia (AML). TheCYP1A1 *1/*2A, GSTT1non null andGSTM1non null genotypes were more frequent in patients with primary leukemia than in relapse. Analysis of theNAT2genotype frequency revealed a characteristic genotype for each type of leukemia, which prevailed in patients with relapse: the genotype341C/-, 481T/-, 590G/G, 857G/Gprevailed in ALL patients with relapse, and the genotype341T/T, 481C/C, 590A/- in AML patients with relapse when compared with patients having primary ALL or AML, respectively. Thus, the polymorphisms ofCYP1A1, GSTT1, GSTM1andNAT2genes can be considered as markers for risk of relapse in childhood acute leukemia and can be used for the prognosis and individualization of standard therapy.


2016 ◽  
Vol 47 (8) ◽  
pp. 629-643 ◽  
Author(s):  
Juan Carlos Balandrán ◽  
Eduardo Vadillo ◽  
David Dozal ◽  
Alfonso Reyes-López ◽  
Antonio Sandoval-Cabrera ◽  
...  

2014 ◽  
Vol 6 (2) ◽  
pp. 197-204 ◽  
Author(s):  
Deepak Khadka ◽  
Ananda Sharma ◽  
Jeevan K Shrestha ◽  
Gauri S Shrestha ◽  
Pun N Shrestha ◽  
...  

Introduction: In some instances, the understanding of the ocular manifestations in childhood leukemia is not only important to establish the diagnosis but also reflects the disease state and prognosis. Objective: To study the ocular manifestations of childhood acute leukemia among the children attending a tertiary-level hospital in Nepal. Materials and methods: A cross-sectional, descriptive study was undertaken at the B.P. Koirala Lions Centre for Ophthalmic Studies (BPKLCOS) and Kanti Children Hospital (KCH), Kathmandu, over a period of one-and-a-half years. Children diagnosed with acute childhood leukemia referred to the BPKLCOS from the Oncology Unit of the KCH and the Emergency Department of the Tribhuvan University Teaching Hospital (TUTH) were included in the study, using a non-probability sampling method. Results:Of the 71 cases with childhood acute leukemia, 55 (77.5%; 95% CI = 66% - 85%) had acute lymphoblastic leukemia(ALL)whereas the other 16 (23%) had acute myeloblastic leukemia (AML). Ocular involvement were seen in 33 cases (46%) and were more frequent in cases of AML as compared to those with ALL (p=0.001, OR 5.0, 95% CI= 1.4 – 17.5). Direct ocular involvement and secondary ocular involvement were observed in 12 (16.9%) and 29 (40.8%) subjects, respectively. Ocular symptoms were present in only 11 cases (15.49%). Cerebro-spinal fluid (CSF) and bone marrow examination in cases with direct ocular involvement showed 10 cases (83.3%) positive for blast cells in the CSF and 6 cases (50%) positive for blast cells in bone marrow. The most common secondary manifestation was retinal haemorrhage, seen in 23 cases (32.4%). Conclusion: In view of the high asymptomatic ocular involvement and the significant visual morbidity, a routine ophthalmic examination is recommended as an integral part of the medical examination in all cases of childhood acute leukemia.DOI: http://dx.doi.org/10.3126/nepjoph.v6i2.11678Nepal J Ophthalmol 2014; 6(12):  pp. 197-204


2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Elisa Dorantes-Acosta ◽  
Eduardo Vadillo ◽  
Adriana Contreras-Quiroz ◽  
Juan Carlos Balandrán ◽  
Lourdes Arriaga-Pizano ◽  
...  

Acute leukemias are the most frequent childhood malignancies worldwide and remain a leading cause of morbidity and mortality of relapsed patients. While remarkable progress has been made in characterizing genetic aberrations that may control these hematological disorders, it has also become clear that abnormalities in the bone marrow microenvironment might hit precursor cells and contribute to disease. However, responses of leukemic precursor cells to inflammatory conditions or microbial components upon infection are yet unexplored. Our previous work and increasing evidence indicate that Toll-like receptors (TLRs) in the earliest stages of lymphoid development in mice and humans provide an important mechanism for producing cells of the innate immune system. Using highly controlled co-culture systems, we now show that lymphoid precursors from leukemic bone marrow express TLRs and respond to their ligation by changing cell differentiation patterns. While no apparent contribution of TLR signals to tumor progression was recorded for any of the investigated diseases, the replenishment of innate cells was consistently promoted uponin vitroTLR exposure, suggesting that early recognition of pathogen-associated molecules might be implicated in the regulation of hematopoietic cell fate decisions in childhood acute leukemia.


Author(s):  
L. A. Ivanova ◽  
I. V. Korol ◽  
U. S. Kovalenko ◽  
E. A. Kokova ◽  
A. V. Mezinova ◽  
...  

Ovarian hyperstimulation syndrome is a complication of IVF procedure. Describes the case of a 31-year-old patient with body mass index 22 kg/m 2. After 5 IVF procedures with the previous stimulation of ovulation she complaints of weakness, dyspnea, pain in the chest, unproductive cough, epigastric pain, fever, pain in the hip and spine, ascites, hydropericardium, hydrothorax, acute respiratory distress syndrome reveal themselves. "Ovarian hyperstimulation syndrome" was made.  The treatment with glucocorticosteroids improved the condition of the patient. After a bone marrow puncture the diagnosis "lymphoid variant of acute leukemia" was confirmed.


2020 ◽  
pp. 68-72
Author(s):  
V.G. Nikitaev ◽  
A.N. Pronichev ◽  
V.V. Dmitrieva ◽  
E.V. Polyakov ◽  
A.D. Samsonova ◽  
...  

The issues of using of information and measurement systems based on processing of digital images of microscopic preparations for solving large-scale tasks of automating the diagnosis of acute leukemia are considered. The high density of leukocyte cells in the preparation (hypercellularity) is a feature of microscopic images of bone marrow preparations. It causes the proximity of cells to eachother and their contact with the formation of conglomerates. Measuring of the characteristics of bone marrow cells in such conditions leads to unacceptable errors (more than 50%). The work is devoted to segmentation of contiguous cells in images of bone marrow preparations. A method of cell separation during white blood cell segmentation on images of bone marrow preparations under conditions of hypercellularity of the preparation has been developed. The peculiarity of the proposed method is the use of an approach to segmentation of cell images based on the watershed method with markers. Key stages of the method: the formation of initial markers and builds the lines of watershed, a threshold binarization, shading inside the outline. The parameters of the separation of contiguous cells are determined. The experiment confirmed the effectiveness of the proposed method. The relative segmentation error was 5 %. The use of the proposed method in information and measurement systems of computer microscopy for automated analysis of bone marrow preparations will help to improve the accuracy of diagnosis of acute leukemia.


Author(s):  
Валентина Викторовна Дмитриева ◽  
Николай Николаевич Тупицын ◽  
Евгений Валерьевич Поляков ◽  
Софья Сергеевна Денисюк

Применение методов и средств цифровой обработки изображений при распознавании типов клеток крови и костного мозга для повышения качества диагностики острых лейкозов является актуальной научно-технической задачей, отвечающей стратегии развития технологий искусственного интеллекта в медицине. В работе предложен подход к мультиклассификации клеток костного мозга при диагностике острых лейкозов и минимальной остаточной болезни. Для проведения экспериментальных исследований сформирована выборка из 3284 изображений клеток, представленных Лабораторией гемопоэза Национального медицинского исследовательского центра онкологии им. Н.Н. Блохина. Предложенный подход к мультиклассификации клеток костного мозга основан на бинарной модели классификации для каждого из исследуемых классов относительно остальных. В рассматриваемой работе бинарная классификация выполняется методом опорных векторов. Метод мультиклассификации был программно реализован с применением интерпретатора Python 3.6.9. Входными данными программы служат файлы формата *.csv с таблицами морфологических, цветовых, текстурных признаков для каждой из клеток используемой выборки. В выборке представлено девять типов клеток костного мозга. Выходными данными программы мультиклассификации являются значения точности классификации на тестовой выборке, которые отражают совпадение прогнозируемого класса клетки с фактическим (верифицированным) классом клетки. “Эксперимент показал следующие результаты: точность мультиклассификации рассматриваемых типов клеток в среднем составила: 87% на тестовом наборе, 88% на обучающем наборе данных. Проведенное исследование является предварительным. В дальнейшем планируется увеличить число классов клеток, объем выборок различных типов клеток и с уточнением результатов мультиклассификации The use of methods and means of digital image processing in the recognition of types of blood cells and bone marrow to improve the quality of diagnosis of acute leukemia is an urgent scientific and technical task that meets the strategy for the development of artificial intelligence technologies in medicine. The paper proposes an approach to the multiclassification of bone marrow cells in the diagnosis of acute leukemia and minimal residual disease. For experimental studies, a sample of 3284 images of cells was formed, submitted by the Hematopoiesis Laboratory of the National Medical Research Center of Oncology named after V.I. N.N. Blokhin. The proposed approach to the multiclassification of bone marrow cells is based on a binary classification model for each of the studied classes relative to the others. In the work under consideration, binary classification is performed by the support vector machine. The multiclassification method was implemented programmatically using the Python 3.6.9 interpreter. The input data of the program are * .csv files with tables of morphological, color, texture features for each of the cells of the sample used. The sample contains nine types of bone marrow cells. The output data of the multiclassification program are the classification accuracy values on the test sample, which reflect the coincidence of the predicted cell class with the actual (verified) cell class. “The experiment showed the following results: the accuracy of multiclassification of the considered types of cells on average was: 87% on the test set, 88% on the training data set. This study is preliminary. In the future, it is planned to increase the number of classes of cells, the volume of samples of various types of cells and with the refinement of the results of multiclassification


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