scholarly journals Regulation of DNA damage response and cell cycle in radiation-resistant HL60 myeloid leukemia cells

2012 ◽  
Author(s):  
Yoichiro Hosokawa
Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 1028-1028
Author(s):  
Giorgia Simonetti ◽  
Antonella Padella ◽  
Anna Ferrari ◽  
Viviana Guadagnuolo ◽  
Elisa Zago ◽  
...  

Abstract Acute Myeloid Leukemia (AML) is a heterogeneous malignancy characterized by the expansion of myeloid precursor cells with limited or abnormal differentiation capacity. A relatively common event in AML is represented by chromosome gain or loss. Numerical chromosome abnormalities, which define aneuploidy, have a detrimental effect in primary non-malignant cells, since they dramatically reduce cellular fitness. However, evidence suggests that they have a causative role in tumorigenesis and are well tolerated in transformed cells belonging to the myeloid lineage. Aim of the study is to elucidate the pathogenic mechanisms causing and sustaining aneuploidy in AML in order to find novel potential therapeutic targets. A panel of genetic alterations was analyzed on 886 AML cases at Seràgnoli Institute in Bologna between 2002 and 2013. Among them, 31 samples were subjected to whole exome sequencing (WES, Illumina Hiseq2000). Raw data were processed with WES Pipeline web tool for variants detection. Gene expression profiling (GEP, Affymetrix) was performed on bone marrow cells from 49 AML patients at diagnosis with more than 80% blast cells, including 22 aneuploid cases (carrying monosomy, trisomy or a monosomal karyotype) and 27 cases with normal karyotype. The aneuploid status was confirmed by single nucleotide polymorphism (SNP) array. WES analysis of 13 aneuploid and 12 euploid AML cases revealed a significantly higher median value of genetic variants and mutated genes in aneuploid compared with euploid samples (aneuploid vs. euploid: median of variants, 30 vs. 20 (p=0.02) including nonsynonimous single nucleotide variants, frameshift insertions and deletions, stopgains; median of mutated genes, 25 vs. 17 (p=0.05); details will be presented at the meeting). Noticeably, by gene ontology analysis of mutated genes in the aneuploid cohort we observed a strong enrichment in genes regulating cell cycle, including chromosome organization (p=5.4x10-4) and mitotic sister chromatid cohesion (p=6.98x10-4), and chromatin modification (p=1.3x10-4), with most of the variants being not annotated in the COSMIC database. Euploid samples were enriched for mutations affecting genes involved in cytoskeleton (p=1.6x10-3) and metabolic activities (p=1.9x10-3). A number of genes mutated in the aneuploid cases belong to the APCCdc20 complex and localize on chromosomes generally spared by aneuploidy, supporting the key role of the identified aberrations in the molecular mechanisms leading to numerical chromosome abnormalities. Among several mutations predicted as “drivers” by DOTS-Finder tool (CCDC144NL, DNMT3A, GXYLT1, MESP1, TPRX1,TPTE, ZNF717), we defined some candidates involved in cell cycle regulation and DNA replication. Functional analysis are ongoing. Furthermore, a tumor suppressor function was associated with mutated genes involved in the DNA repair process. In our WES analysis, we identified a subgroup of genes linked to DNA damage response, including TP53, which are preferentially mutated in the aneuploid cohort. Since P53 is a limiting-factor in aneuploidy-induced tumorigenesis, we analyzed the mutational status in a larger cohort of AML patients by Next Generation sequencing (NGS) and Sanger sequencing. Interestingly, we identified TP53 mutations in 15/58 aneuploid vs. 1/36 euploid cases (p=3.8x10-3). Finally, differential expression of genes involved in DNA damage and integrity checkpoints was identified by GEP of aneuploid and euploid AML samples. Previous evidence showed that loss of the spindle checkpoint gene BUB1B induces aneuploidy and predisposes to tumorigenesis. Our data, obtained by integrated NGS and GEP approaches, support a causal link between mutations in a panel of genes involved in cell cycle control/chromosome organization and aneuploidy in AML. Genetic and transcriptional alterations of genes regulating DNA damage response were detected in our AML cohort, suggesting novel molecular mechanisms for the acquisition and/or maintenance of the aneuploid condition and consequently, of leukemogenesis. The results indicate that the identified genomic aberrations likely drive chromosome gain and/or loss in AML by cooperating with alterations affecting different pathways, in order to overcome the unfitness barrier induced by aneuploidy. Supported by: FP7 NGS-PTL project, ELN, AIL, AIRC, PRIN, progetto Regione-Università 2010-12 (L. Bolondi). Disclosures Martinelli: Novartis: Consultancy, Speakers Bureau; BMS: Consultancy, Speakers Bureau; Pfizer: Consultancy; ARIAD: Consultancy.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 3060-3060
Author(s):  
Ernie Yap ◽  
Zainul Abidin Norziha ◽  
Alfred Simbun ◽  
Nor Rafeah Tumian ◽  
Soon Keng Cheong ◽  
...  

Abstract Introduction Chronic myeloid leukemia (CML) patients who do not achieve landmark responses are considered imatinib (IM)-resistant. IM-resistance can be due to BCR-ABL kinase domain (KD) mutations, although many IM-resistant patients do not harbor KD mutations. The pathogenesis of this phenomenon is unclear. Aberrations in BCR-ABL independent downstream signaling pathways, namely PI3K/AKT, p53, NF-kB and Fanconi anaemia (FA)/BRCA, have been implicated. MicroRNAs (miRNAs) are short non-coding RNAs that control gene expression and are notoriously promiscuous, with one miRNA regulating many mRNAs. In recognition of this, we sought to identify dysregulated miRNAs associated with the above pathways in patients with IM-resistant CML. Methods Eight patients with chronic phase CML who demonstrated primary resistance to IM and tested negative for KD mutations via Sanger sequencing were enrolled. Two healthy volunteers constituted the control group. Peripheral blood samples were taken and miRNA extracted from the white cells. MiRNA profiling was performed using miRNA sequencing (miRNA-seq) of the human microRNAome. MiRNA expression analyses (miEA) were performed on 4 sets of miRNAs associated with 4 different signaling pathways derived from publicly available databases: 237 miRNAs for PI3K/AKT, 223 miRNAs for p53, 221 miRNAs for NF-kB, and 126 miRNAs for FA/BRCA. MiRNA expression levels of the patients were compared with normal controls to obtain the differential expression of the miRNAs. MiRNAs that occur in all 4 pathways were further investigated in silico for their putative gene targets (Tarbase v7.0). Gene targets which were commonly linked with 3 different miRNAs were identified. Results MiRNA-seq yielded a total of 790 miRNAs. MiEA showed downregulation of 5 miRNAs in all 4 signaling pathways above: miR-146a-5p, miR-99b-5p, miR-143-3p and miR-10a-5p, miR-151a-3p. MiR-146a-5p and miR-99b-5p were the first and second most downregulated miRNAs in all 4 pathways. Putative gene targets that were commonly modulated by 3 miRNAs were: CDK6 (miR-143-3p, miR-10a-5p, miR-151a-3p), MDM2 (miR-146a-5p, miR-143-3p, miR-10a-5p), PTGS2 (miR-146a-5p, miR-143-3p, miR-10a-5p) and REV3L (miR-146a-5p, miR-143-3p, miR-151a-3p), as shown in Table 1. Conclusions The PI3K/AKT pathway is activated in response to IM-exposure to IM-naïve cells, implying a role in IM resistance. As cell cycle modulators, both p53 and NF-kB pathways are regulated within the PI3K/AKT pathway via AKT. FANCD2 is a central FA/BRCA pathway regulator and its transcription is maintained by AKT/mTOR via enhancement of NF-kB activity. The complexity of the interactions above has impeded efforts in identifying a unifying target in counteracting IM resistance. Thus, it is of significance that our results showed 5 differentially expressed miRNAs that consistently featured in the above signaling pathways, 4 of which remarkably influence PI3K/AKT and p53. In our study, PI3K/AKT and p53 pathways are inextricably linked with the same 4 miRNAs (miR-146a-5p, miR-143-3p, miR-10a-5p and miR-151a-3p) targeting the same 2 genes (MDM2 and CDK6) in these 2 pathways. MDM2 is an ubiquitin ligase that regulates the stability of p53a. AKT facilitates the functions of MDM2 to promote p53 ubiquitination. Conversely, inhibition of MDM2 leads to activation of p53 in response to cellular stresses. CDK6 is a cell cycle regulator and its overexpression influences the accumulation of pro-apoptotic p53 proteins, postulating a role in DNA damage response. Both PTGS2 and REV3L genes were commonly targeted by 3 miRNAs, within the NF-kB and FA/BRCA pathways respectively. PTGS2 overexpression has been shown in gastrointestinal adenocarcinomas; it induces carcinoma cell migration and invasion via activation of PI3K/AKT signaling. REV3L is the catalytic subunit of DNA polymerase ζ and plays a central role in DNA damage tolerance and chemoresistance towards DNA damaging agents. Notably, the NF-kB and FA/BRCA pathways were juxtaposed to the PI3K/AKT/p53 system via shared miRNA regulators. This provokes interesting questions regarding IM-resistance: are anti-apoptotic signaling and DNA damage response mechanisms driven simultaneously by these miRNAs? Can these miRNAs be potential biomarkers and therapeutic targets in IM-resistant CML? More studies are needed to further validate our findings. Disclosures No relevant conflicts of interest to declare.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 322-322
Author(s):  
Dang Hai Nguyen ◽  
Zhiyan Silvia Liu ◽  
Sayantani Sinha ◽  
Maxwell Bannister ◽  
Erica Arriaga-Gomez ◽  
...  

Abstract Somatic heterozygous mutations in spliceosome genes SRSF2, U2AF1, and SF3B1 commonly occur in patients with myeloid malignancies such as myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML). Moreover, SRSF2 and U2AF1 mutations associate with poor survival and high risk of progression to AML, representing a unique genetic vulnerability for targeted therapy. We and others previously found that R-loops, a group of transcription intermediates containing RNA:DNA hybrids and displaced single-stranded DNA, are a source of genomic instability induced by different spliceosome mutants. We further showed that inhibition of ATR kinase activity preferentially kills spliceosome mutant cells in an R-loop-dependent manner. Inspired by ATR inhibition results, we performed a focused drug screen with inhibitors targeting additional DNA damage response pathways to identify novel therapeutic vulnerabilities generated by spliceosome mutations. We generated a murine leukemia model by overexpressing the MLL-AF9 fusion oncogene on an Srsf2 P95H/+background, a mutational combination that is found in ~10% of MLL-rearranged leukemias. Surprisingly, we found that Srsf2 P95H/+cells are more sensitive to five inhibitors targeting ADP-ribosyltransferases or PARP (olaparib, talazoparib, rucaparib, niraparib, veliparib) (Figs 1A-B). Olaparib (PARPi)-treated Srsf2 P95H/+cells exhibited increased apoptosis compared to Srsf2 +/+ cells as determined by AnnexinV (Fig 1C). PARPi sensitivity was also observed in isogenic murine MLL-AF9 U2af1 S34F/+cells compared to MLL-AF9 U2af1 +/+ cells (Fig 1D). These data highlight that both SRSF2 P95H and U2AF1 S34F mutations create a common vulnerability that is dependent on PARP activity for survival. To evaluate PARP activity in cells, we used isogenic K562 leukemia cells expressing SRSF2 P95H and U2AF1 S34F mutations from their endogenous loci and monitored PAR (poly(ADP-ribose)) chain levels, a marker of PARP activity. Both SRSF2 P95H and U2AF1 S34F cells exhibited elevated PAR levels compared to wildtype cells (Figs 1E-F). PARPi treatment significantly suppressed PAR signals in SRSF2 P95H and U2AF1 S34F cells. PARP inhibitors target both PARP1 and PARP2 enzymes, of which PARP1 plays a key role in DNA damage response. We used CRISPR-Cas9 to knockout PARP1 gene to determine the major PARP responsible for elevated PAR level in these leukemia cells. PARP1 deletion abrogated elevated PAR levels in U2AF1 S34F (Fig 1G) and SRSF2 P95H cells (data not shown). Altogether, we demonstrated that SRSF2 P95H and U2AF1 S34F cells trigger a PARP1 response critical for cell survival. To test whether increased PAR level arises from U2AF1 S34F-induced R-loops, we generated U2AF1 S34F cells that inducibly express RNaseH1, an enzyme that specifically cleaves the RNA moiety within RNA:DNA hybrids. Induction of RNaseH1 in U2AF1 S34F cells significantly reduced PAR levels, showing that U2AF1 S34F-induced PAR chains is R-loop-dependent (Fig 1H). Moreover, RNaseH1 overexpression suppressed the growth inhibition of PARPi-treated U2AF1 S34F cells (Fig 1I). Collectively, these results suggest that U2AF1 S34F mutants induce R-loop accumulation and elicit an R-loop-associated PARP1 signaling to promote cell survival. We next tested whether combining ATR inhibitor (ATRi) can further exacerbate PARPi sensitivity in spliceosome mutant cells. To examine ATR activity, we monitored phosphorylated RPA (Replication Protein A, or pRPA), a known ATR substrate. pRPA level was enhanced in PARPi-treated SRSF2 P95H cells compared to PARPi-treated SRSF2 WT cells but was suppressed when treated with ATRi (Fig 1J), suggesting that splicing factor mutant cells are more reliant on ATR function in the context of PARPi. Importantly, the combination of PARPi with ATRi, but not with ATMi, significantly promoted cell growth inhibition in SRSF2 P95H cells compared to SRSF2 WT cells or to SRSF2 P95H cells treated with individual compounds alone (Fig 1K). Collectively, these data provide a pre-clinical rationale that splicing factor mutant leukemias are preferentially sensitive to PARP1 modulation compared to their wildtype counterpart. Moreover, combining PARPi and ATRi may further sensitize spliceosome mutant cells and could represent a new therapeutic strategy in myeloid leukemia patients harboring these mutations (Fig 1L). Figure 1 Figure 1. Disclosures Graubert: Calico: Research Funding; Janssen: Research Funding; astrazeneca: Research Funding.


Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 2745-2745
Author(s):  
David B. Rosen ◽  
James A Cordeiro ◽  
David M. Soper ◽  
Ying-Wen Huang ◽  
Donna E. Hogge ◽  
...  

Abstract Abstract 2745 Poster Board II-721 Background: Gemtuzumab Ozogamicin (GO, Mylotarg), a humanized CD33 monoclonal antibody linked to calicheamicin was approved by the US FDA for use as a monotherapy in patients older than 60 years with relapsed acute myeloid leukemia (AML) unfit to tolerate standard salvage therapy. GO is internalized rapidly after infusion, and calicheamicin, a potent enediyene, is subsequently released and acts as a cytotoxic agent by causing double strand DNA breaks. Currently GO is in multiple clinical trials as a single agent or in combination with other therapies for both induction and consolidation treatment of various clinical subgroups of AML. However, the mechanisms of action and resistance of GO are incompletely understood and it is unclear which patient subgroups benefit from GO-based therapy. Single cell network profiling (SCNP) has shown promise as a methodology wherein multiple signaling networks are measured after treatment with an exogenous modulator such as a growth factor, cytokine or therapeutic agent and the identified signaling profiles can be used as clinical and therapeutic enablement tools. Objectives: SCNP using multiparameter flow cytometry was used to identify intracellular pathways that were associated with responsiveness or refractoriness to in vitro GO exposure in both cancer cell lines and primary AML samples. Methods: Signaling pathways emphasizing DNA damage response, cell cycle, apoptosis and drug transporter activity were measured by SCNP after in vitro exposure of cell lines and AML primary samples to clinically relevant concentrations of GO. Samples were processed for cytometry by paraformaldehyde /methanol fixation and permeabilzation followed by incubation with fluorochrome-conjugated antibody cocktails that recognize cell surface proteins to delineate cell subsets and intracellular signaling molecules. Results: In cell lines, responsiveness to in vitro GO exposure was defined as a) induction of DNA Damage as measured by increased p-ATM, p-Chk2 and p-H2AX, b) cell cycle arrest at G2/M as measured by increased cyclin B1 and DNA content & c) induction of apoptosis as measured by cleaved PARP and viability dyes. Of note, inhibition of drug transporter activity in 2 MDR-1+ cell lines did not restore GO responsiveness, suggesting the presence of additional relevant resistance mechanisms in these cell lines. In primary AML diagnostic samples, DNA damage and apoptosis pathway readouts were able to identify responsiveness or refractoriness to GO exposure. In the GO responsive profile, induction of both DNA damage responses and apoptosis were seen. Within the refractory samples, two distinct profiles were observed: a) robust and early induction of DNA damage response without apoptosis and 2) delayed and attenuated DNA damage response without apoptosis. Conclusions: Characterization of intracellular Cell Cycle, DNA Damage, and Apoptosis networks in single cells after GO exposure distinguishes GO responsive from refractory AML cells. Further, these pathway signatures provide information about mechanisms of refractoriness. (e.g. a block between a successful DNA damage response and initiation of apoptosis versus a block in the initial induction of DNA damage after GO exposure). The ability of the same profiles to predict clinical responses to the drug will be tested in future studies. Disclosures: Rosen: Nodality, Inc.: Employment, Equity Ownership. Cordeiro:Nodality Inc.: Employment, Equity Ownership. Soper:Nodality Inc.: Employment, Equity Ownership. Huang:Nodality Inc.: Employment, Equity Ownership. Cesano:Nodality Inc.: Employment, Equity Ownership. Fantl:Nodality Inc.: Employment, Equity Ownership.


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