Partial Tandem Duplications of the MLL Gene Are Detectable in Peripheral Blood and Bone Marrow of Nearly All Healthy Donors

Blood ◽  
1998 ◽  
Vol 92 (5) ◽  
pp. 1728-1734 ◽  
Author(s):  
Susanne Schnittger ◽  
Bernhard Wörmann ◽  
Wolfgang Hiddemann ◽  
Frank Griesinger

Partial tandem duplication within the MLL gene has recently been described as a novel genetic alteration in acute myeloid leukemia (AML). It has been associated with trisomy of chromosome 11, but was also identified in AML patients with normal karyotypes. The current study was performed to investigate whether MLL duplications are restricted to AML, and hence whether they may also occur in normal hematopoietic cells. MLL-duplication transcripts were analyzed by nested reverse-transcriptase polymerase chain reaction (RT-PCR) in peripheral blood in two groups of 45 and 20 patients, respectively, as well as in two bone marrow samples from healthy volunteers. Duplications were detected in two independent nested RT-PCR experiments in the peripheral blood samples of 38 of 45 (84%) and 20 of 20 (100%) of the two groups and in both bone marrow samples. On this basis, MLL duplications seem to occur frequently in a subset of cells in normal hematopoiesis. The type of partially duplicated MLL transcripts varied substantially. Three transcripts were identical to those known from AML. In addition, four new transcripts were characterized. Three of these four were in frame and potentially translatable. MLL duplications were also detected by seminested genomic PCR with intron 9– and intron 1–specific primers in 20 of 20 peripheral blood samples studied, indicating that the duplications are genomically fixed at the DNA level and are not an RT-PCR artifact. In summary, MLL duplications are regularly generated by homologous ALU recombination in a small number of hematopoietic cells of most or even all healthy donors. These data suggest that MLL duplications are not implicated in the malignant transformation in AML, or alternatively, that only a few cells will acquire additional oncogenic mutations necessary to establish the malignant phenotype of AML. © 1998 by The American Society of Hematology.

Blood ◽  
1998 ◽  
Vol 92 (5) ◽  
pp. 1728-1734 ◽  
Author(s):  
Susanne Schnittger ◽  
Bernhard Wörmann ◽  
Wolfgang Hiddemann ◽  
Frank Griesinger

Abstract Partial tandem duplication within the MLL gene has recently been described as a novel genetic alteration in acute myeloid leukemia (AML). It has been associated with trisomy of chromosome 11, but was also identified in AML patients with normal karyotypes. The current study was performed to investigate whether MLL duplications are restricted to AML, and hence whether they may also occur in normal hematopoietic cells. MLL-duplication transcripts were analyzed by nested reverse-transcriptase polymerase chain reaction (RT-PCR) in peripheral blood in two groups of 45 and 20 patients, respectively, as well as in two bone marrow samples from healthy volunteers. Duplications were detected in two independent nested RT-PCR experiments in the peripheral blood samples of 38 of 45 (84%) and 20 of 20 (100%) of the two groups and in both bone marrow samples. On this basis, MLL duplications seem to occur frequently in a subset of cells in normal hematopoiesis. The type of partially duplicated MLL transcripts varied substantially. Three transcripts were identical to those known from AML. In addition, four new transcripts were characterized. Three of these four were in frame and potentially translatable. MLL duplications were also detected by seminested genomic PCR with intron 9– and intron 1–specific primers in 20 of 20 peripheral blood samples studied, indicating that the duplications are genomically fixed at the DNA level and are not an RT-PCR artifact. In summary, MLL duplications are regularly generated by homologous ALU recombination in a small number of hematopoietic cells of most or even all healthy donors. These data suggest that MLL duplications are not implicated in the malignant transformation in AML, or alternatively, that only a few cells will acquire additional oncogenic mutations necessary to establish the malignant phenotype of AML. © 1998 by The American Society of Hematology.


Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 4301-4301
Author(s):  
Ihab Abd-Elrahman ◽  
Vered Bucholtz ◽  
Klilah Hershko ◽  
Gail Amir ◽  
Riki Perlman ◽  
...  

Abstract Livin is a member of the Inhibitor of Apoptosis Proteins (IAP) family, a novel family of intracellular anti-apoptotic proteins that act by binding and inhibiting caspases. We found that Livin is unique among the IAP members as upon strong apoptotic stimuli, it is specifically cleaved by caspases to produce a large C-terminal subunit. This subunit has a paradoxical pro-apoptotic activity. Thus, Livin is not merely an inhibitor of apoptosis. Rather, it is a regulator of apoptosis that can protect against apoptosis but upon continuous apoptotic signals it helps to assure cell death. We showed that Livin plays a major role in melanoma. The level of the Livin protein is directly correlated to the resistance of melanoma cells to chemotherapy and to the survival rate of melanoma patients. Livin was also shown to be over expressed in other solid tumors such as nasopharyngeal, neuroblastoma, colorectal and lung cancers. In this work we studied Livin expression in normal hematopoietic cells as well as hematologic malignancies. Using immunohistochemistry staining for Livin we evaluated its expression in reactive lymph nodes (LN) and showed that in contrast to Bcl2, Livin was detected in highly proliferating germinal centers. In normal bone marrow Livin was detected in Megakaryocytes and immature myeloid precursors. In peripheral blood mononuclear cells, using quantitative RT-PCR, we found that Livin expression was down regulated in activated monocytes and T cells while in B cells, Livin was upregulated upon activation. We studied bone marrow and LNs from 84 patients (pts) with hematologic malignancies. Positive immunohistochemistry staining was found in the malignant cells of all pts with DLBC NHL (31 pts), follicular lymphoma (12 pts) and multiple myeloma (15 pts). Peripheral blood samples from 28 B-CLL pts were compared with healthy controls’ B cells. High mRNA levels were detected in 43% of the pts, in correlation with older age (p<0.05). On the other hand, Livin was not expressed in Hodgkin’s disease (4 pts and 4 cell lines) and only 6/29 pts with AML had high levels of Livin in RT-PCR without any clinical correlation. Our data demonstrate that Livin is over expressed in activated normal B cells both in peripheral blood and LN as well as in most B cell lymphoproliferative diseases. Further investigation will establish the role of Livin over expression in hematologic malignancies.


2011 ◽  
Vol 58 (1) ◽  
pp. 43-49 ◽  
Author(s):  
Maria Valeria Corrias ◽  
Riccardo Haupt ◽  
Barbara Carlini ◽  
Enrico Cappelli ◽  
Stefano Giardino ◽  
...  

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 3756-3756 ◽  
Author(s):  
Koji Sasaki ◽  
Hagop M. Kantarjian ◽  
Raja Luthra ◽  
Keyur P. Patel ◽  
Guillermo Garcia-Manero ◽  
...  

Abstract Introduction: Acute promyelocytic leukemia (APL) is biologically distinct subtype of acute myeloid leukemia characterized by PML-RARA fusion transcripts, and its survival has significantly improved with all-trans retinoic acid (ATRA). Monitoring PML-RARA fusion transcripts with quantitative real-time polymerase chain reaction (RT-PCR) is the standard of care for the evaluation of response in patients with acute promyelocytic leukemia. We sought to determine the correlation between peripheral blood (PB) and bone marrow (BM) samples in patients treated on our frontline studies. Methods: We correlated results from BM and PB samples obtained from patients with newly diagnosed APL treated on three consecutive prospective clinical trials of combination of arsenic trioxide (ATO) and ATRA with or without gemtuzumab ozogamycin (ID01-014; NCT01409161; and NCT00413166) at our institution. Qualitative RT-PCR was performed on reverse-transcribed RNA from PB and BM samples for the short and long isoforms of PML-RARA, and the percent ratios of PML-RARA to ABL1 transcript levels were calculated. The sensitivity of detection with RT-PCR was 1 in 100,000. For this analysis, we selected samples with the time interval of collection within 1 day. Qualitative correlation was assessed using Kendall tau rank correlation coefficient test. Spearman's correlation coefficient was computed for quantitative variables to measure the extent of the association between samples. P values were two-sided and a p value of <0.05 was considered as statistically significant. Results: From July 2002 to May 2015, 184 patients were enrolled in the clinical trials. RT-PCR for PML-RARA was performed in 2077 samples including 1261 BM samples and 816 PB samples. In total, 584 samples (292 sample pairs) from BM and PB were identified within 1-day time interval. PML-RARA levels from PB samples with RT-PCR were strongly qualitatively and quantitatively correlated with those from BM samples (r= 0.831, p<0.001; τ= 0.792, p<0.001, respectively). Minimal qualitative discrepancy was observed in 13 samples from 11 patients: 8 BM samples from 8 patients with PML-RARA/ABL1 ≤0.01% (4 short form; 4 long form), with undetectable PML-RARA from concurrent PB; and 5 PB samples from 4 patients with PML-RARA/ABL1 ≤0.01% (2 short form; 3 long form), with undetectable PML-RARA from concurrent BM samples. Of 8 BM samples, 4 BM samples were obtained after 2 cycles, 3 cycles, 3 cycles, and 4 cycles of ATRA + ATO, respectively; 4, 1 month, 9 months, 9 months, and 10 months after completion of ATO + ATRA. The discrepancy of 4 BM samples during ATRA + ATO was resolved with undetectable PML-RARA level from peripheral blood samples and bone marrow samples after 1 additional cycle of ATO + ATRA. Of 4 BM samples after completion of ATO + ATRA, previous PML-RARA showed undetectable PML-RARA level, and repeat PML-RARA showed undetectable PML-RARA level from bone marrow and peripheral blood samples without intervention. Of 5 PB samples from 4 patients, 3 PB samples from 2 patients were obtained after 3 cycles, 3 cycles, and 4 cycles of ATRA. One patient had persistent PML-RARA/ABL1 <0.01% (short form) from peripheral blood samples with undetectable PML-RARA from concurrent BM samples after 3 cycles and 4 cycles of ATO + ATRA. Two PB samples from 2 patients were obtained 1 month after completion of ATO + ATRA. Conclusions: Strong correlation between PB and BM results indicate that PML-RARA fusion transcript levels in patients with APL can be monitored using PB samples. Figure 1. The correlation between bone marrow and peripheral blood samples for detection of PML-RARA Figure 1. The correlation between bone marrow and peripheral blood samples for detection of PML-RARA Disclosures Verstovsek: Incyte Corporation: Research Funding. Estrov:incyte: Consultancy, Research Funding. Cortes:Novartis: Consultancy, Research Funding; Teva: Research Funding; BerGenBio AS: Research Funding; BMS: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding; Ariad: Consultancy, Research Funding; Astellas: Consultancy, Research Funding; Ambit: Consultancy, Research Funding; Arog: Research Funding; Celator: Research Funding; Jenssen: Consultancy.


1999 ◽  
Vol 17 (3) ◽  
pp. 870-870 ◽  
Author(s):  
Martin J. Slade ◽  
Brendan M. Smith ◽  
H. Dudley Sinnett ◽  
Nicholas C.P. Cross ◽  
R. Charles Coombes

PURPOSE: Previous reports have indicated that reverse transcriptase polymerase chain reaction (RT-PCR) for cytokeratin 19 (CK-19) may be useful in the management of patients with breast cancer. However, the specificity of this technique is low, principally because of a high rate of false-positive results. To improve the specificity of this assay, we developed a quantitative RT-PCR methodology that enables an estimate to be made of the number of CK-19 transcripts in blood and bone marrow samples. PATIENTS AND METHODS: We examined 45 peripheral-blood samples and 30 bone marrow samples from patients with a variety of nonneoplastic conditions using nested RT-PCR for CK-19. We also examined bone marrow and peripheral-blood samples from 23 patients with primary breast cancer and peripheral-blood samples from 37 patients with metastatic breast cancer. The number of CK-19 transcripts was estimated in positive specimens by competitive PCR and normalized to the number of ABL transcripts as an internal control for the quality and quantity of cDNA. RT-PCR results were compared with the numbers of CK-19–positive cells detected by immunocytochemistry. RESULTS: Analysis of samples from patients without cancer enabled us to define an upper limit for the background ratio of CK-19 to ABL transcripts (1:1,000 for blood samples and 1:1,600 for bone marrow samples). Using these figures as cut-off points, elevated CK-19: ABL ratios were detected in peripheral-blood samples of 20 of 37 (54%) patients with metastatic breast cancer and in bone marrow samples of 14 of 23 (61%) patients with primary breast cancer. Only three of 23 (13%) primary breast cancer peripheral-blood samples and none of the control samples were positive by these criteria. Only two of 23 patients (9%) with primary breast cancer showed immunocytochemically detectable cells in the blood; 10 of 23 (43%) showed immunocytochemically detectable cells in the bone marrow. Of 36 patients with metastatic breast cancer, eight (22%) showed positive events. CONCLUSION: Quantitative RT-PCR for CK-19 detects a percentage of patients with breast cancer and may enable the progression or regression of the disease to be monitored.


Blood ◽  
1997 ◽  
Vol 89 (11) ◽  
pp. 3919-3924 ◽  
Author(s):  
Jean C.Y. Wang ◽  
Monica Doedens ◽  
John E. Dick

Abstract We have previously reported the development of in vivo functional assays for primitive human hematopoietic cells based on their ability to repopulate the bone marrow (BM) of severe combined immunodeficient (SCID) and nonobese diabetic/SCID (NOD/SCID) mice following intravenous transplantation. Accumulated data from gene marking and cell purification experiments indicate that the engrafting cells (defined as SCID-repopulating cells or SRC) are biologically distinct from and more primitive than most cells that can be assayed in vitro. Here we demonstrate through limiting dilution analysis that the NOD/SCID xenotransplant model provides a quantitative assay for SRC. Using this assay, the frequency of SRC in cord blood (CB) was found to be 1 in 9.3 × 105 cells. This was significantly higher than the frequency of 1 SRC in 3.0 × 106 adult BM cells or 1 in 6.0 × 106 mobilized peripheral blood (PB) cells from normal donors. Mice transplanted with limiting numbers of SRC were engrafted with both lymphoid and multilineage myeloid human cells. This functional assay is currently the only available method for quantitative analysis of human hematopoietic cells with repopulating capacity. Both CB and mobilized PB are increasingly being used as alternative sources of hematopoietic stem cells in allogeneic transplantation. Thus, the findings reported here will have important clinical as well as biologic implications.


2006 ◽  
Vol 17 (3) ◽  
pp. 424-428 ◽  
Author(s):  
L. Mercatali ◽  
V. Valenti ◽  
D. Calistri ◽  
S. Calpona ◽  
G. Rosti ◽  
...  

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 17-18
Author(s):  
Shaadi Mehr ◽  
Daniel Auclair ◽  
Mark Hamilton ◽  
Leon Rozenblit ◽  
Hearn Jay Cho ◽  
...  

Abstract: Title: Architecture of sample preparation and data governance of Immuno-genomic data collected from bone marrow and peripheral blood samples obtained from multiple myeloma patients In multiple myeloma (MM), the interactions between malignant plasma cells and the bone marrow microenvironment is crucial to fully understand tumor development, disease progression, and response to therapy. The core challenge in understanding those interactions has been the establishment of a standard process and a standard model for handling the data quality workflow and the underlying data models. Here we present the Platform (Figure 1), an integrated data flow architecture designed to create data inventory and process tracking protocols for multi-dimensional and multi-technology immune data files. This system has been designed to inventory and track peripheral blood and bone marrow samples from multiple myeloma subjects submitted for immune analysis under the MMRF Immune Atlas initiative (figure 2), and the processing and storage of Single Cell RNA-seq (scRNA-seq) and Mass Cytometry time-of-flight (CyTOF) data files derived from these immune analyses. While these methods have been previously applied on both tumor and immune populations in MM [2,3], this level of multi-institutional and multi-technology is unique. The Cloud Immune-Precision platform contains standardized protocols and bioinformatics workflows for the identification and categorization of immune cell populations and functional states based upon scRNA-seq gene signatures (ref: Bioinformatics manuscript in submission) and CyTOF protein signatures. Upon further expansion, it will contain high dimensional scRNAseq and CyTOF immune data from both bone marrow and peripheral blood samples from myeloma patients enrolled in the Multiple Myeloma Research Foundation (MMRF) CoMMpass study (NCT01454297) [1] (Figure 3). The architecture covers the automation of data governance protocols, data transformation and ETL model developments that will create an immune proteomic and profiling database and its integration into clinical and genomics databases: e.g. the MMRF CoMMpass clinical trial. This large-scale data integration will establish a cutting-edge Immune-Precision central platform supporting large scale, immune-focused advanced analytics in multiple myeloma patients. This platform will allow researchers to interrogate the relationships between immune transcriptomic and proteomic signatures and tumor genomic features, and their impact on clinical outcomes, to aid in the optimization of therapy and therapeutic sequencing. Furthermore, this platform also promotes the potential to (further) elucidate the mechanisms-of-action of approved and experimental myeloma therapies, drive biomarker discovery, and identify new targets for drug discovery. Figure 1: Cloud Immune-Precision Platform (Integrated data flow architecture designed to create data inventory and process tracking protocols for multi-dimensional and multi-technology immune data files) Figure 2: Sample tracking process architecture Figure 3: Data file creation and repository process tracking References: 1- Settino, Marzia et al. "MMRF-CoMMpass Data Integration and Analysis for Identifying Prognostic Markers." Computational Science - ICCS 2020: 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings, Part III vol. 12139 564-571. 22 May. 2020, doi:10.1007/978-3-030-50420-5_42 2- Ledergor, Guy et al. "Single cell dissection of plasma cell heterogeneity in symptomatic and asymptomatic myeloma." Nature medicine vol. 24,12 (2018): 1867-1876. doi:10.1038/s41591-018-0269-2 3- Hansmann, Leo et al. "Mass cytometry analysis shows that a novel memory phenotype B cell is expanded in multiple myeloma." Cancer immunology research vol. 3,6 (2015): 650-60. doi:10.1158/2326-6066.CIR-14-0236-T Figure 1 Disclosures Bhasin: Canomiiks Inc: Current equity holder in private company, Other: Co-Founder. Dhodapkar:Amgen: Membership on an entity's Board of Directors or advisory committees, Other; Celgene/BMS: Membership on an entity's Board of Directors or advisory committees, Other; Janssen: Membership on an entity's Board of Directors or advisory committees, Other; Roche/Genentech: Membership on an entity's Board of Directors or advisory committees, Other; Lava Therapeutics: Membership on an entity's Board of Directors or advisory committees, Other; Kite: Membership on an entity's Board of Directors or advisory committees, Other.


Sign in / Sign up

Export Citation Format

Share Document