Unusual Immunophenotypes in the Bone Marrow of Infants with Acute Leukemia: Minimal Residual Disease or ATRA-Mediated Regeneration?.

Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 4260-4260
Author(s):  
Alexander Popov ◽  
Tatiana Verzhbitskaya ◽  
Grigory Tsaur ◽  
Egor Shorikov ◽  
Leonid Saveliev ◽  
...  

Abstract Minimal Residual Disease (MRD) monitoring is essential to predict early outcome and further optimize treatment, especially when new approaches to therapy are used. A promising new treatment is the combination of chemotherapy with all trans-retinoic acid (ATRA) for infant acute leukemias. ATRA-mediated maturation of bone marrow cells can lead to the appearance of unusual undifferentiated cells with new immunological characteristics. We investigated the immunophenotypic features of bone marrow cells in infant acute leukemias treated with traditional chemotherapy combined with ATRA. From May 2006 to July 2007, we performed initial and consecutive multicolor flow cytometry assays of bone marrow samples from 4 infants with primary ALL or AML (except M3) treated at our institution. Patient I had BII-ALL, co-expressing CD15, but the majority of his blast cells were CD10(-). Conventional cytogenetics revealed t(4;11) and MLL/AF4 was detected. Early after ATRA administration, we detected MPO(+)TdT(+)-cells and subsequently, CD19, CD10, CD34, CD99 positive cells were found. Moreover, those cells occupied the “blast region” (SSC(low)CD45(dim)) and were seen as an autonomous population on the FSC/SSC dot plot. There was no correlation with the number of CD19(+)MPO(+)-cells and either MRD, measured by multicolor flow cytometry, or the level of the fusion gene transcript performed by the quantitative real-time polymerase chain reaction. In patient II with primary AML-M2, the cells with the same phenotype were also detected after several ATRA courses. Patient III, with primary biphenotypic leukemia, demonstrated total clearance of tumor blasts after the beginning of ATRA treatment with the later appearance of two cells populations: one similar to the phenotype previously described in patients I and II, but additionally expressing CD79a. The second cell population was positive for the cortical thymocytes markers CD7, CD5, CD2, CD4, CD8 and CD1a. This phenotype was observed shortly after ATRA initiation and disappeared with further chemotherapy. Patient IV with primary AML-M7 was switched to BII-ALL after the 3rd ATRA course. Simultaneously, a minor population of biphenotypic cells was observed and later comprised 2 groups: TdT(−)CD99(−)CD45(bright) and TdT(+)CD99(+)CD45(dim) cells. We infer from this observation that the biphenotypic cells had matured. Cortical thymocytes were also detected in this patient for a short period. In all 4 patients we observed an equal distribution of biphenotypic cells on dot plots despite the differences in the primary leukemia phenotypes. This raises the question of a tumor versus an ATRA-mediated origin of the biphenotypic cells that requires further investigation in the patients treated with ATRA. Moreover, we conclude that a more extensive and specific panel of monoclonal antibodies is also required for the full immunophenotypic characterization of infant leukemia.

2020 ◽  
Vol 169 ◽  
pp. 353-358 ◽  
Author(s):  
Valentin Nikitaev ◽  
Alexander Pronichev ◽  
Evgeney Polyakov ◽  
Olga Chernysheva ◽  
Irina Serebryakova ◽  
...  

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


1989 ◽  
Vol 7 (3) ◽  
pp. 338-343 ◽  
Author(s):  
M Bregni ◽  
S Siena ◽  
A Neri ◽  
R Bassan ◽  
T Barbui ◽  
...  

We have developed an assay for the detection of malignant residual cells in the bone marrow from patients with B- or T-lineage acute lymphoblastic leukemia (ALL) in clinical remission. This assay involves an immune selection step followed by immunoglobulin or T-cell receptor gene rearrangement analysis and allows the detection of one contaminating tumor cell out of 1,000 normal bone marrow cells. We have examined the bone marrow of 11 patients with adult ALL in remission over a 24-month period. Five patients relapsed in the bone marrow and one in the CNS. The assay allowed the detection of minimal residual disease in four of five patients that subsequently relapsed in the bone marrow, 1.5 to 9 months before the relapse became morphologically and clinically manifest. Residual disease was not found in the bone marrow from patients in continuous remission and from the single patient who relapsed in the CNS. We conclude that the ability of the assay described here to detect minimal residual disease with high specificity can provide information for further understanding of the biology of ALL and hopefully for the clinical management of patients with this disease.


Blood ◽  
2004 ◽  
Vol 104 (11) ◽  
pp. 400-400 ◽  
Author(s):  
Wolfgang Kern ◽  
Daniela Voskova ◽  
Claudia Schoch ◽  
Wolfgang Hiddemann ◽  
Susanne Schnittger ◽  
...  

Abstract Guiding antileukemic treatment in patients with acute myeloid leukemia (AML) is increasingly based on levels of minimal residual disease (MRD) which can be quantified with high sensitivity by multiparameter flow cytometry (MFC). The optimum checkpoint for determination of MRD during the course of therapy, however, has not yet been determined. We applied MFC using a comprehensive panel of antibodies to identify leukemia-associated aberrant immunophenotypes (LAIPs) at diagnosis and to quantify MRD by individually selected antibody combinations. The prognostic impact of MRD levels was assessed in comparison to cytogenetics and age. Patients received double induction, consolidation, and maintenance therapies and underwent allogeneic stem cell transplantation if they were younger than 60 years and had a matched related donor. In 286 patients with newly diagnosed and untreated AML MFC-based assessment for the presence of LAIP has been performed. The median percentage of LAIP-positive bone marrow cells at diagnosis was 16.04% (range, 2.54%–76.14%). All individual LAIPs were applied to 26 normal bone marrow samples to estimate sensitivity based on the median percentages of LAIP-positive normal bone marrow cells which ranged from 0.00% to 1.01% (median, 0.02%). A total of 550 follow-up samples has been analyzed in these patients at different checkpoints (CP1, up to day 21 after start of therapy, n=85; CP2, day 22–60, n=122; CP3, day 61–120, n=158; CP4, day 121–365, n=137; CP5, after day 365, n=48). In order to adjust for differences in the percentages of LAIP-positive bone marrow cells at diagnosis the logarithmic difference (LD) between diagnosis and follow-up was calculated for each follow-up sample. The median LDs at the respective checkpoints were: CP1, 2.02; CP2, 2.29; CP3, 2.39; CP4, 2.53; and CP5, 2.81. Separation of patients according to the respective median LDs resulted in differences in event-free survival (EFS; CP1: 21.1 vs. 9.1 months, p=0.0711; CP2: 14.2 vs. 9.3 months, p=0.0095; CP3: 30.9 vs. 13.5 months, p=0.0055; CP4: median not reached vs. 14.1 months, p<0.0001; CP5: median not reached vs. 22.5 months, p=0.0001) and overall survival (OS; CP3: median not reached vs. 21.6 months, p=0.0332; CP4: 90% vs. 53% at 2 years, p=0.0058). Cox analysis using the LDs at the different checkpoints as continuous variables confirmed the prognostic impact on EFS (CP2, p=0.002; CP3, p=0.0003; CP4, p<0.0001; CP5, p<0.0001) and revealed an impact also on OS (CP3, p=0.003; CP4, p=0.001; CP5, p=0.029). Cox regression analysis taking into consideration cytogenetics and age as covariates proved the independent prognostic impact of LD at checkpoints 2 to 5 on both EFS and OS with the exception of LD at checkpoint 2 and OS. In fact, LD at checkpoint 5 was the only parameter independently related to EFS and OS. These data suggest that quantification of MRD by MFC in AML results in powerful and independent prognostic parameters. In particular during the first year of treatment MRD levels provide important prognostic information. Clincal trials should use MRD-based stratification in order to assess the efficacy of early treatment intensification in high-risk AML patients.


Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 2362-2362
Author(s):  
Denis Guyotat ◽  
Daniela Olaru ◽  
Pascale Flandrin ◽  
Nathalie Nadal ◽  
Lydia Campos

Abstract Flow cytometry analysis of minimal residual disease (MRD) in acute myeloid leukemia (AML) is based on the detection of aberrant phenotypes responsible for the relapse. Until now, all studies were performed by 3 or 4 color immunostaining, allowing the identification of LAIP in 80% of cases. Moreover, no data is available regarding the existence of such phenotypes in regenerating bone marrow. The new generation of cytometers allows the study of 8 parameters that permit a better distinction of malignant from normal phenotypes. In our study we analyzed 20 bone marrow samples from allogeneic donors, 20 ALL regenerating bone marrows after chemotherapy and 53 AML samples at diagnosis. Multiparameter 4 colour and 6 colour flow cytometry was used in order to define antigen combinations which are totally absent or present at very minimal levels in normal and regenerating hematopoiesis. “Blast cells” were gated according to CD45/SSC properties.For the first time we describe by 6 color flow cytometry 47 phenotypes totally absent from “blasts” gate in all normal bone marrow (ex: CD34+DR−117+33−15+, CD34+38+33−56+19−, CD14−DR+4+11B+64+). Another 41 phenotypes were identified as presents at a frequency < 0,05% of total cells (ex: CD34+DR+117−33+15+, CD14−DR+4+11B+64−, CD34+65−56+4−16−). There was no significant difference between normal and regenerating marrows. The 4 color panel of moAbs allowed us to identify only 30 phenotypes presents at a frequency < 0,05% of total cells (ex: CD34+33−13+, CD34+117+11b+, CD34+DR−13+). 53 AML at diagnosis were studied using 6 color immunophenotyping and 58 % of phenotypes described as aberrant or infrequent in normal myeloid hematopoiesis were found in at least one AML at diagnosis in more than 1% of total cells. All AML cases show at least one LAIP but frequently we observed more than one LAIP blast subpopulation in the same sample. Some examples of LAIP observed are CD34+ 38+ 33+ 56+ 19−, CD34+ 38+ 33+ 56− 19+, CD34− DR− 117+ 33+ 15−. In conclusion our results shows that (1) the ability to clearly distinguish leukemic from the healthy cells is considerably increased by 6 color approach (8 parameters analyzed) than 4 color. (2) Furthermore that these aberrant or infrequent phenotypes in normal or regenerating bone marrow samples are identified in AML cases and can be utilized in AML minimal residual disease study. (3) Knowledge of the expression of different markers in normal hematopoietic development provides a frame of reference for identification of abnormal differentiation patterns.


Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 1717-1717
Author(s):  
Maya Danielle Hughes ◽  
Rong Zeng ◽  
Kristen L. Miller ◽  
Soheil Meshinchi

Abstract Abstract 1717 FLT3 internal tandem duplication (FLT3/ITD) is a somatic mutation that is associated with therapy resistance in acute myeloid leukemia (AML). Early data demonstrated low sensitivity for this assay, thus limiting its utility to the evaluation of diagnostic specimens, and precluding its utility in remission samples. We inquired whether the standard FLT3/ITD assay can be modified to enable its utility to detect presence of residual disease in remission specimens. Enhanced FLT3/ITD assay sensitivity was accomplished by altering annealing temperature, increasing the number of cycles as well as amount and concentration of the product that was subjected to capillary electropheresis. To assess the sensitivity of the enhanced assay, FLT3/ITD positive cells M4V11 were serially diluted in a population of ITD negative cells (HL60). The concentration of M4V11 cells in each sample ranged from 10% to 0.0001%. PCR product was subjected to capillary electropheresis and the appropriate region of the electropherogram was examined for the presence of the appropriate mutant product length. Appropriate FLT3/ITD signal was detected in dilutions down to 0.01%, validating our ability to detect extremely low levels of FLT3/ITD. We subsequently examined the remission marrows from patients with a history of FLT3/ITD who had undergone stem cell transplantation. Available bone marrow specimens (N = 51) from patients who underwent stem cell transplantation for FLT3/ITD-positive AML were analyzed and the result was correlated with the available standard PCR as well as the available MRD assessment by muti-dimensional flow cytometry; samples negative for FLT3/ITD by standard assay (N=11) were then subjected to the enhanced PCR methodology. Available ITD length for each patient was used for examination of the appropriate region of the electropherogram in each case. Of the available 51 bone marrow specimens analyzed, 23 specimens had FLT3/ITD detectable by standard PCR protocol. Using our modified PCR method and capillary electrophoresis, an additional 13 specimens had identifiable FLT3/ITD. In 6/11 patients, where initial FLT3/ITD was negative by standard methodology, enhanced assay identified FLT3/ITD signal. In each case, detection of FLT3/ITD by the enhanced assay was followed by morphologic or immunophenotypic emergence of disease, prompting therapeutic intervention. We further evaluated the ability to detect FLT3/ITD in patients with minimal residual disease by flow cytometry. 33 of the bone marrow specimens analyzed had a less than 5% abnormal blast population as detectable via flow cytometry. Among these samples, 7 had FLT3/ITD detectable using standard detection techniques. An additional 11 samples had detectable FLT3/ITD when our modified protocol was employed. Of the specimens that had less than 1% abnormal blast population as detectable via flow cytometry (N = 27), 4 had FLT3/ITD detectable using the standard detection assay; when our modified protocol was employed, an additional 6 samples had detectable FLT3/ITD. 17 bone marrow specimens had no abnormal blast cells detectable via flow cytometry; of these samples 1 had detectable FLT3/ITD using the standard detection assay, while an additional 3 had detectable FLT3/ITD using our modified assay. In four patients, FLT3/ITD was detected in bone marrow specimens found to have flow cytometric MRD of 0% (N=2), 0.1% (N=1) and 0.4% (N=1). In two patients with no detectable disease by MDF, both had emergence of morphologic (60% blast) or immunophenotypic disease by MDF (1.1%) within 4–6 weeks of detection of FLT3/ITD by enhanced assay. In this study, we demonstrate that simple modifications to the FLT3/ITD genotyping assay significantly increases its sensitivity and provides a highly sensitive and very specific assay for identifying this disease associated mutation in remission specimens. The enhanced assay can be incorporated into the standard evaluation of remission status for patients with FLT3/ITD. Disclosures: No relevant conflicts of interest to declare.


Hematology ◽  
2021 ◽  
Vol 2021 (1) ◽  
pp. 37-45
Author(s):  
Andrew J. Yee ◽  
Noopur Raje

Abstract Improvements in multiple myeloma therapy have led to deeper responses that are beyond the limit of detection by historical immunohistochemistry and conventional flow cytometry in bone marrow samples. In parallel, more sensitive techniques for assessing minimal residual disease (MRD) through next-generation flow cytometry and sequencing have been developed and are now routinely available. Deep responses when measured by these assays correspond with improved outcomes and survival. We review the data supporting MRD testing as well as its limitations and how it may fit in with current and future clinical practice.


Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 5036-5036
Author(s):  
Tove Isaacson ◽  
Andrzej Jakubowiak ◽  
Lloyd Stoolman ◽  
Usha Kota ◽  
William Finn ◽  
...  

Abstract Multiparameter flow cytometry is a useful tool for comprehensive immunophenotyping of plasma cell myeloma, and has been proposed as a sensitive method for the evaluation of minimal residual disease in patients following treatment. This study aimed to assess the value of flow cytometry in quantitation of residual disease, in comparison to routine morphologic examination of first-pull bone marrow aspirate smears, in myeloma patients post-therapy. Heparinized bone marrow aspirates were obtained from 27 treated patients with plasma cell myeloma. Cells were prepared for 5-color flow cytometric analysis within 24-hours of specimen draw. Surface membrane staining with anti-CD19, CD20, CD38, CD45, CD56, and CD138 was followed by ammonium chloride lysis of red cells. Fixed and permeabilized cells were analyzed for cytoplasmic light chains to confirm clonality. Data were acquired using an FC500 flow cytometer (Beckman-Coulter), analyzed with CXP software with plasma cells isolated based on bright CD38+ or CD138+ expression. A median of 97,639 cellular events (range 14,279 to 262,508) were collected per analysis. Flow cytometric enumeration of plasma cells was compared to 500-cell differential counts of Wright-Giemsa-stained first-pull aspirate smears from the same cases. The median plasma cell count as determined by flow cytometry was 0.5% (range 0–7.9%). The median plasma cell count estimated by morphologic review was 8.0% (range 0–84.4%). Flow cytometry underestimated the plasma cell content in all but one case. Clonal plasma cells expressed CD38 and CD138 in all cases; 87.5% (21/24) coexpressed CD56, 25% (6/24) coexpressed CD45, and 4.2% (1/24) coexpressed CD19. None was positive for CD20. Although detection of minimal residual disease after therapy for acute leukemia is routinely achieved by flow cytometric analysis, successful quantitation of minimal residual disease in treated myeloma patients using flow cytometry remains limited as it usually underestimates the plasma cell content of bone marrow samples compared to routine morphology of first-pull aspirates. We have observed that this holds true for both pre-treatment and post-treatment specimens. Causes for the discrepancy may include hemodilution of second-pull aspirates used for flow cytometry, fragility and loss of plasma cells during preparation for flow cytometry, and incomplete disaggregation of plasma cells from bone marrow spicules. With improved outcome of treatments, better and more reliable methods of detection of minimal residual disease are needed for optimal prognostic stratification. We are currently validating alternative methods, which may offer more sensitivity while at the same time allow more objectivity, for assessing the amount of minimal residual disease in myeloma patients.


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