Identification of Gene Expression Profiles in Acute Lymphoblastic Leukemia Cells That Discriminate Intracellular Thioguanine Nucleotide Accumulation in ALL Cells after In Vivo Treatment with Mercaptopurine.

Blood ◽  
2004 ◽  
Vol 104 (11) ◽  
pp. 453-453
Author(s):  
Gianluigi Zaza ◽  
Meyling Cheok ◽  
Wenjian Yang ◽  
Pei Deqing ◽  
Cheng Cheng ◽  
...  

Abstract Thioguanine nucleotides (TGN) are considered the principal active metabolites exerting the antileukemic effects of mercaptopurine (MP). Numerous clinical studies have reported substantial inter-patient variability in intracellular TGN concentrations during continuation therapy of acute lymphoblastic leukemia (ALL). To identify genes whose expression is related to the intracellular accumulation of TGN in leukemia cells after in vivo treatment with MP alone (MP) or in combination with MTX (MP+MTX), we used oligonucleotide microarrays (Affymetrixâ HG-U95Av2) to analyze the expression of approximately 9,670 genes in bone marrow leukemic blasts obtained at diagnosis from 82 children with ALL. TGN levels were determined in bone marrow aspirates of these patients 20 hours after mercaptopurine infusion (1 g/m2 I.V). Because, as previously reported, patients treated with MP alone achieved higher levels of intracellular TGN compared to those treated with the combination, we used Spearman’s rank correlation to identify genes associated with TGN levels separately for the 33 patients treated with MP alone and the 49 with the combination (MP: median TGN: 2.46 pmol/5x106 cells, range: 0.01–19.98; and MTX+MP: median TGN: 0.55 pmol/5x106 cells, range: 0.005–3.31). Hierarchical clustering using these selected probe sets clearly separated the 33 patients treated with MP alone into two major groups according to TGN concentration (< 2.46 and > 2.46 pmol/5x106 cells; n=60 genes) and two major branches were also found for patients treated with the combination (< 0.55 and > 0.55 pmol/5x106 cells; n=75 genes). Interestingly, there was no overlap between the two sets of genes, indicating that different genes influence the accumulation of TGN when this drug is given alone or in combination with MTX. The association between gene expression profiles and TGN levels determined by leave-one-out cross-validation using support vector machine (SVM) based on Spearman correlation, was rho=0.60 (p<0.001) for MP alone and rho=0.65 (p<0.001) for MTX+MP, with false discovery rate (FDR) computed using Storey’s q-value (MP: 50% true positive, MTX+MP: 70% true positive respectively). Genes highly associated with the post-treatment TGN level in ALL patients treated with MP alone encode transporters, enzymes involved in the MP metabolic pathway and cell proliferation. Genes associated with post-treatment levels of TGN after combined therapy have been implicated in protein and ATP biosynthesis. Together, these in vivo data provide new insights into the basis of inter-patient differences in TGN accumulation in ALL cells, revealing significant differences between treatment with MP alone or in combination with MTX.

Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 1629-1629
Author(s):  
Manon Queudeville ◽  
Elena Vendramini ◽  
Marco Giordan ◽  
Sarah M. Eckhoff ◽  
Giuseppe Basso ◽  
...  

Abstract Abstract 1629 Poster Board I-655 Primary childhood acute lymphoblastic leukemia (ALL) samples are very difficult to culture in vitro and the currently available cell lines only poorly reflect the heterogeneous nature of the primary disease. Many groups therefore use mouse xenotransplantation models not only for in vivo testing but also as a means to amplify the number of leukemia cells to be used for various analysis. It remains unclear as to what extent the xenografted samples recapitulate their respective primary leukemia. It has been suggested for example that transplantation may result in the selection of a specific clone present only to a small amount in the primary diagnostic sample. We used a NOD/SCID xenotransplantation model and injected leukemia cells isolated from fresh primary diagnostic material of 4 pediatric ALL patients [2 pre-B-ALL, 1 pro-B-ALL (MLL/AF4}, 1 cortical T-ALL] intravenously into the lateral tail vein of unconditioned mice. As soon as the mice presented clinical signs of leukemia, leukemia cells were isolated from bone marrow and spleen. Isolated leukemia cells were retransplanted into secondary and tertiary recipients. RNA was isolated from diagnostic material and serial xenograft passages and gene expression profiles were obtained using a human whole genome array (Affymetrix U133 2.0). Simultaneously, immunophenotypic analysis via multicolor surface and cytoplasmatic staining by flow cytometry was performed for the diagnostic samples and respective serial xenograft passages. In an unsupervised clustering analysis the diagnostic sample of each patient clustered together with the 3 derived xenograft samples, although the 3 xenograft samples clustered stronger to each other than to their respective diagnostic sample. Comparison of the 4 diagnostic samples vs. all xenograft samples resulted in a gene list of 270 genes upregulated at diagnosis and 8 genes upregulated in the xenograft passages (Wilcoxon, p< .05). The high number of genes upregulated at diagnosis is most likely due to contamination of primary patient samples with normal peripheral blood and/or bone marrow cells as 15% of genes are attributed to myeloid cells, 7% to erythroid cells, 7% to lymphoid cells, 32% to bone marrow in general as well as to innate immunity, chemokines, immunoglobulins. The remaining genes can not be attributed to a specific hematopoetic cell lineage and are not known to be related to leukemia or cancer in general. Accordingly, there are no statistically significant differences between the primary, secondary and tertiary xenograft passages. The immunophenotype analysis are also in accordance with these findings, as the diagnostic blast population retains its immunophenotypic appearance during serial transplantation, whereas the contaminating CD45-positive non- leukemic cells disappear after the first xenograft passage. The few genes upregulated in xenograft samples compared to diagnosis are mainly involved in cell cycle regulation, protein translation and apoptosis resistance. Some of the identified genes have already been described in connection with cancer subtypes, their upregulation therefore being indicative of a high proliferative state in general and could argue towards a more aggressive potential of the engrafted leukemia cells but alternatively could also simply be due to the fact that the xenograft samples are pure leukemic blasts and are not contaminated with up to 15% of non-cycling healthy bone marrow cells as in the diagnostic samples. We conclude that the gene expression profiles generated from xenografted leukemias are very similar to those of their respective primary leukemia and moreover remain stable over serial retransplantation passages as we observed no statistically significant differences between the primary, secondary and tertiary xenografts. The differentially expressed genes between diagnosis and primary xenotransplant are most likely to be due to contaminating healthy cells in the diagnostic samples. Hence, the NOD/SCID-xenotransplantation model recapitulates the primary human leukemia in the mouse and is therefore an appropriate tool for in vivo and ex vivo studies of pediatric acute leukemia. Disclosures No relevant conflicts of interest to declare.


Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 1913-1913 ◽  
Author(s):  
Ronald W. Stam ◽  
Monique L. Den Boer ◽  
Pauline Schneider ◽  
Jasper de Boer ◽  
Jill Hagelstein ◽  
...  

Abstract MLL rearranged Acute Lymphoblastic Leukemia (ALL) represents an unfavorable and difficult to treat type of leukemia that often is highly resistant to glucocorticoids like prednisone and dexamethasone. As the response to prednisone largely determines the clinical outcome of pediatric ALL patients, overcoming resistance to these drugs may be an important step towards improved prognosis. Here we compared gene expression profiles between prednisone-resistant and prednisone-sensitive pediatric ALL patients to obtain gene expression signatures associated with prednisone resistance for both childhood (&gt;1 year of age) and MLL rearranged infant (&lt;1 year of age) ALL. Merging both signatures in search for overlapping genes associated with prednisone resistance in both patient groups we, found that elevated expression of MCL-1 (an anti-apoptotic member of the BCL-2 protein family) appeared to be characteristic for both prednisone-resistant ALL samples. To validate this observation, we determined MCL-1 expression using quantitative RT-PCR in a cohort of MLL rearranged infant ALL samples (n=23), and confirm that high-level MCL-1 expression significantly confers glucocorticoid resistance both in vitro and in vivo. Finally, down-regulation of MCL-1 in prednisone resistant MLL rearranged ALL cells by RNA interference (RNAi) markedly sensitized these cells to prednisone. Therefore we conclude that MCL-1 plays an important role in glucocorticoid resistance and that MCL- 1 suppressing agents co-administered during glucocorticoid treatment may be beneficial especially for MLL rearranged infant ALL patients.


Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 232-232 ◽  
Author(s):  
Valerie de Haas ◽  
Rob Dee ◽  
Goedele Cheroutre ◽  
Henk van den Berg ◽  
Huib Caron ◽  
...  

Abstract Treatment of pediatric ALL is based on the concept of tailoring the intensity of treatment to a patients risk. Clinical studies have shown that it is possible to stratify patients according to the levels of minimal residual disease after induction therapy and early during further treatment, since it has been demonstrated that the MRD level is the best predictive level for disease outcome. More recently, it has been shown that gene expression profiles of leukemic cells at diagnosis might be correlated with outcome. In previous studies we reported that slow responding subclones represent the clones causative for a leukemic relapse in oligoclonal disease. Based on these results, we hypothesized that the gene expression profile of the slow responding subclones present after the first weeks of chemotherapy might be more predictive than the profiles of all leukemic cells at diagnosis. Twenty-four genes were selected; most signalling molecules, transcription factors and functions relevant for oncogenesis, drug resistance and metastasis. Selection of genes was based on the presently available data on prognostic cDNA microarry studies of cytogenetically defined subgroups of childhood ALL. In particular, we analyzed results of recently published studies that compared gene expression levels between diagnosis and relapse in B-precusor acute lymphoblastic leukemia. (Staal, 2003 and Beesley, 2005). Gene sequences were obtained from public databases. Genes were tested on different leukemic cell lines. For all cell lines differences in gene expression level were demonstrated. The same panel of genes was tested on diagnostic samples of 16 ALL patients, subsequently followed by investigation of paired diagnosis - day 15 - relapse samples of 3 relapsed ALL patients. Leukemic material was obtained from cryopreserved bone marrow samples. All leukemic cells were purified by MACS purification based on markers expressed on the tumour, i.e. CD34, CD19 and CD10. RNA extraction and cDNA synthesis was performed according to the TRIZOL protocol. Expression levels were determined in a SYBR Green based real-time PCR assay. We were able to show different gene expression profiles in the 16 tested diagnostic samples. For the paired samples from relapsed B-precursor ALL patients, the expression level of several genes at day 15 was different (ΔCT&gt;1) in regard to diagnosis. Moreover, the changed expression at day 15 was comparable to the expression level of this gene at relapse. We conclude that indeed we were able to demonstrate that some of the genes have a changing pattern of expression during early therapy (day15), a pattern which is comparable to the pattern of gene expression at relapse and which is different from the pattern at diagnosis. We also demonstrated that purification of the bone marrow samples is necessary to be certain that the gene expression shown is relevant for the leukemic cells and not contaminated by other cells, i.e. T-cells. Figure Figure


Genes ◽  
2019 ◽  
Vol 10 (5) ◽  
pp. 376 ◽  
Author(s):  
Vanessa Villegas-Ruíz ◽  
Karina Olmos-Valdez ◽  
Kattia Alejandra Castro-López ◽  
Victoria Estefanía Saucedo-Tepanecatl ◽  
Josselen Carina Ramírez-Chiquito ◽  
...  

Droplet digital PCR is the most robust method for absolute nucleic acid quantification. However, RNA is a very versatile molecule and its abundance is tissue-dependent. RNA quantification is dependent on a reference control to estimate the abundance. Additionally, in cancer, many cellular processes are deregulated which consequently affects the gene expression profiles. In this work, we performed microarray data mining of different childhood cancers and healthy controls. We selected four genes that showed no gene expression variations (PSMB6, PGGT1B, UBQLN2 and UQCR2) and four classical reference genes (ACTB, GAPDH, RPL4 and RPS18). Gene expression was validated in 40 acute lymphoblastic leukemia samples by means of droplet digital PCR. We observed that PSMB6, PGGT1B, UBQLN2 and UQCR2 were expressed ~100 times less than ACTB, GAPDH, RPL4 and RPS18. However, we observed excellent correlations among the new reference genes (p < 0.0001). We propose that PSMB6, PGGT1B, UBQLN2 and UQCR2 are housekeeping genes with low expression in childhood cancer.


Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 2361-2361
Author(s):  
Hui Yu ◽  
Sheng Zhou ◽  
Geoffrey A. Neale ◽  
Brian P. Sorrentino

Abstract Abstract 2361 HOXB4 is a homeobox transcription factor that can induce hematopoietic stem cell (HSC) expansion both in vivo and in vitro. An interesting feature of HOXB4-induced HSC expansion is that HSC numbers do not exceed normal levels in vivo due to an unexplained physiological capping mechanism. To gain further insight into HOXB4 regulatory signals, we transplanted mice with bone marrow cells that had been transduced with a MSCV-HOXB4-ires-YFP vector and analyzed gene expression profiles in HSC-enriched populations 20 weeks after transplant, a time point at which HSC numbers have expanded to normal levels but no longer increasing beyond physiologic levels. We used Affymetrix arrays to analyze gene expression profiles in bone marrow cells sorted for a Lin−Sca-1+c-Kit+ (LSK), YFP+ phenotype. Using ANOVA, we identified1985 probe sets with >2 fold difference in expression (FDR<, 0.1) relative to a control vector-transduced LSK cells. A cohort of genes was identified that were known positive regulators of HSC self-renewal and proliferation. Hemgn, which we identified in a previous screen as a positive regulator of expansion and a direct transcriptional target of HOXB4, was 3.5 fold up-regulated in HOXB4 transduced LSKs. Other genes known to be important for HSCs survival, self-renewal and differentiation were upregulated to significant levels including N-myc, Meis1, Hoxa9, Hoxa10 and GATA2. Microarray data for selected genes was validated by quantitative real-time PCR on HOXB4 transduced CD34low LSK cells, a highly purified HSC population, obtained from another set of transplanted mice at the 20 week time point. In contrast, other gene expression changes were noted that would potentially limit or decrease stem cell numbers. PRDM16, a set domain transcription factor critical for HSC maintenance and associated with clonal hematopoietic expansions when inadvertently activated as a result of retroviral insertion, was dramatically down-regulated on the expression array and 7.6 fold decreased in the real time PCR assay of CD34low LSK cells. TFG-beta signaling is a well defined inhibitor HSC proliferation and utilize Smad proteins as downstream effectors. Expression of Smad1 and Smad7 were significantly upregulated on the LSK expression array and 8.1 and 3.5 fold up-regulated by qPCR in CD34low LSK cells. Another potential counter-regulatory signal was down regulation of Bcl3 mRNA, a potential anti-apoptotic effector in HSCs. We hypothesize that the HOXB4 expansion program involves activation of genes that lead to increased HSC numbers with later activation of counter-regulatory signals that limit expansion to physiologic numbers of HSCs in vivo. We are now examining how this program changes at various time points after transplantation and hypothesize the capping limits are set at relatively later time points during reconstitution. We also are studying the functional effects of these gene expression changes, and in particular, whether enforced expression of HOXB4 and PRMD16 will result in uncontrolled HSC proliferation and/or leukemia. Disclosures: No relevant conflicts of interest to declare.


Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 1826-1826
Author(s):  
Stuart S. Winter ◽  
Hadya Khawaja ◽  
Zeyu Jiang ◽  
Timothy Griffin ◽  
Barbara Asselin ◽  
...  

Abstract The clinical features of age, white count, and presence of extramedullary disease cannot predict risk for induction failure (IF) in patients who present with T-cell acute lymphoblastic leukemia (T-ALL). On the basis of recent observations that gene expression profiles can distinguish clinicopathologic cohorts of patients with acute leukemia, we hypothesized that microarray analyses performed on diagnostic T-ALL bone marrow samples might identify a genomic classifier for IF patients. Using a case-control study design for children and young adults treated for T-ALL on Children’s Oncology Group Study 9404, we analyzed 50 cryopreserved T-ALL samples using Affymetrix U133A Plus 2 genechips, which have 54,000 genes, ESTs and genomic classifiers. Following RMA normalization, we used Prognostic Multi-array Analysis (PAM) to identify a 116-member genomic classifier that could accurately identify all 6 IF cases from the 44 patients who achieved remission. Within the IF cohort, 37 genes were up-regulated and 79 were down-regulated in comparison to other outcome groups. To further investigate the genetic mechanisms governing IF, we developed four cell lines with acquired drug resistance: Jurkat and Sup T1; each having resistance to daunorubicin (DNR) and asparaginase (ASP). Using a comparative analysis for fold-change in gene expression among 6 IF patients and the T-ALL DNR and ASP-resistant cell lines, we identified seven genes that were up-regulated, and another set of seven genes that were commonly down-regulated. To validate the potential use of our 116-member gene set in predicting IF in T-ALL, we tested our genomic classifier in 42 cases which were treated on COG study 8704 and hybridized to the Affymetrix U133Av.2 chip. Because only 85 probes were shared between U133A Plus 2 and U133Av. 2 chips, we employed shrunken class centroids to constrain our classifier to 25 rank-ordered probes. This smaller classifier correctly identified the single IF case in 8704, as well as another patient who was an early treatment failure, indicating that similar genomic classifiers may identify IF patients in different clinical trials. These results indicate that genetic profiling may be useful in prospectively identifying IF patients in T-ALL. In addition, we identified genes that were commonly upregulated in IF patients and T-ALL cell lines with intrinsic drug resistance.


Leukemia ◽  
2018 ◽  
Vol 32 (10) ◽  
pp. 2117-2125 ◽  
Author(s):  
Rebeqa Gunnarsson ◽  
Sebastian Dilorenzo ◽  
Kristina B Lundin-Ström ◽  
Linda Olsson ◽  
Andrea Biloglav ◽  
...  

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