PURPOSE:To evaluate the efficacy of commonly used biomarkers in dry eye disease management in a longitudinal observational case series study followed by an interventional study in a subset of ...subjects treated with cyclosporine A (0.05%).
METHODS:Bilateral tear osmolarity, Schirmer, tear film breakup time (TBUT), staining, meibomian grading, and Ocular Surface Disease Index were measured for a period of 3 consecutive months in participants recruited from a clinic-based population at 2 study sites. Fifty-two subjects completed the study (n = 16 mild/moderate, n = 36 severe; age, 47.1 ± 16.1 years). After the 3-month observation period, severe dry eye patients were prescribed topical cyclosporine A and evaluated for an additional 3 months.
RESULTS:Tear osmolarity (8.7 ± 6.3%) exhibited significantly less variability over a 3-month period than corneal staining (12.2 ± 8.8%, P = 0.040), conjunctival staining (14.8 ± 8.9%, P = 0.002), and meibomian grading (14.3 ± 8.8%, P < 0.0001) across the entire patient population. Osmolarity also demonstrated less variation than TBUT (11.7 ± 9.0%, P = 0.059), Schirmer tests (10.7 ± 9.2%, P = 0.67), and Ocular Surface Disease Index (9.3 ± 7.8%, P = 0.94), although the differences were not significant. Variation in osmolarity was less for mild dry eye patients (5.9 ± 3.1%) than severe dry eye patients (10.0 ± 6.9%, P = 0.038). After treatment, average osmolarity and variability were lowered from 341 ± 18 mOsm/L to 307 ± 8 mOsm/L (P < 0.0001, n = 10). A downward trend in symptoms followed changes in osmolarity, declining from 44 ± 17 mOsm/L to 38 ± 18 mOsm/L (P = 0.35). None of the other signs demonstrated a change after treatment.
CONCLUSIONS:Over a 3-month period, tear film osmolarity was found to have the lowest variability among commonly used signs of dry eye disease. Reductions in osmolarity preceded changes in symptoms during therapy.
Highlights ► Leukemia stem cells represent a malignant reservoir of disease that drives chemotherapeutic resistance. ► Aberrant activation of stem cell survival and self-renewal pathways contributes ...to leukemia progression and relapse. ► De-regulation of epigenetic, metabolic and molecular chaperone pathways may be additional key factors of LSC generation. ► Combination strategies coupling TKIs with inhibitors targeting aberrant pathways may provide novel strategies for leukemia treatment.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK
Adenosine deaminase acting on RNA1 (ADAR1) preserves genomic integrity by preventing retroviral integration and retrotransposition during stress responses. However, ...inflammatory-microenvironment-induced ADAR1p110 to p150 splice isoform switching drives cancer stem cell (CSC) generation and therapeutic resistance in 20 malignancies. Previously, predicting and preventing ADAR1p150-mediated malignant RNA editing represented a significant challenge. Thus, we developed lentiviral ADAR1 and splicing reporters for non-invasive detection of splicing-mediated ADAR1 adenosine-to-inosine (A-to-I) RNA editing activation; a quantitative ADAR1p150 intracellular flow cytometric assay; a selective small-molecule inhibitor of splicing-mediated ADAR1 activation, Rebecsinib, which inhibits leukemia stem cell (LSC) self-renewal and prolongs humanized LSC mouse model survival at doses that spare normal hematopoietic stem and progenitor cells (HSPCs); and pre-IND studies showing favorable Rebecsinib toxicokinetic and pharmacodynamic (TK/PD) properties. Together, these results lay the foundation for developing Rebecsinib as a clinical ADAR1p150 antagonist aimed at obviating malignant microenvironment-driven LSC generation.
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•ADAR1p150 isoform-mediated A-to-I RNA editing fuels human LSC generation•Lentiviral ADAR1 and splicing reporters enable detection of ADAR1p150 activation•Rebecsinib inhibits ADAR1p150-driven LSC self-renewal while sparing normal HSCs•Rebecsinib pre-IND studies show scalable chemistry and favorable pharmacokinetics
Jamieson and colleagues demonstrate that splicing-mediated activation of the inflammation-responsive RNA editase ADAR1 can be inhibited by Rebecsinib, a selective splicing modulator with favorable safety, pharmacokinetic, and pharmacodynamic properties in pre-IND studies. These findings support Rebecsinib development as a potent ADAR1p150 antagonist aimed at preventing leukemia stem cell generation.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Interferon regulatory factor 4 (IRF4) is a transcription factor that regulates normal and malignant immune cell development and is implicated in multiple myeloma pathogenesis. This protocol describes ...the use of combined cell surface and intranuclear staining with fluorescent antibodies to measure IRF4 protein expression within myeloma and normal immune cells. IRF4 protein quantification may provide a valuable prognostic tool to predict disease severity and sensitivity to IRF4-targeted therapies. This flow-cytometry-based procedure could also be rapidly translated into a clinically compatible assay.
For complete details on the use and execution of this protocol, please refer to Mondala et al. (2021).
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•Protocol for the quantification of human IRF4 levels by multi-parameter flow cytometry•Facilitates sensitive detection of IRF4 protein in myeloma cells and normal bone marrow•High-risk myeloma is typified by a population of CD38-high, IRF4-enriched cells
Interferon regulatory factor 4 (IRF4) is a transcription factor that regulates normal and malignant immune cell development and is implicated in multiple myeloma pathogenesis. This protocol describes the use of combined cell surface and intranuclear staining with fluorescent antibodies to measure IRF4 protein expression within myeloma and normal immune cells. IRF4 protein quantification may provide a valuable prognostic tool to predict disease severity and sensitivity to IRF4-targeted therapies. This flow-cytometry-based procedure could also be rapidly translated into a clinically compatible assay.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Deregulation of RNA editing by adenosine deaminases acting on dsRNA (ADARs) has been implicated in the progression of diverse human cancers including hematopoietic malignancies such as chronic ...myeloid leukemia (CML). Inflammation-associated activation of ADAR1 occurs in leukemia stem cells specifically in the advanced, often drug-resistant stage of CML known as blast crisis. However, detection of cancer stem cell-associated RNA editing by RNA sequencing in these rare cell populations can be technically challenging, costly and requires PCR validation. The objectives of this study were to validate RNA editing of a subset of cancer stem cell-associated transcripts, and to develop a quantitative RNA editing fingerprint assay for rapid detection of aberrant RNA editing in human malignancies.
To facilitate quantification of cancer stem cell-associated RNA editing in exons and intronic or 3'UTR primate-specific Alu sequences using a sensitive, cost-effective method, we established an in vitro RNA editing model and developed a sensitive RNA editing fingerprint assay that employs a site-specific quantitative PCR (RESSq-PCR) strategy. This assay was validated in a stably-transduced human leukemia cell line, lentiviral-ADAR1 transduced primary hematopoietic stem and progenitor cells, and in primary human chronic myeloid leukemia stem cells.
In lentiviral ADAR1-expressing cells, increased RNA editing of MDM2, APOBEC3D, GLI1 and AZIN1 transcripts was detected by RESSq-PCR with improved sensitivity over sequencing chromatogram analysis. This method accurately detected cancer stem cell-associated RNA editing in primary chronic myeloid leukemia samples, establishing a cancer stem cell-specific RNA editing fingerprint of leukemic transformation that will support clinical development of novel diagnostic tools to predict and prevent cancer progression.
RNA editing quantification enables rapid detection of malignant progenitors signifying cancer progression and therapeutic resistance, and will aid future RNA editing inhibitor development efforts.
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IZUM, KILJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
Leukemia initiating cells (LIC) contribute to therapeutic resistance through acquisition of mutations in signaling pathways, such as NOTCH1, that promote self-renewal and survival within supportive ...niches. Activating mutations in NOTCH1 occur commonly in T cell acute lymphoblastic leukemia (T-ALL) and have been implicated in therapeutic resistance. However, the cell type and context specific consequences of NOTCH1 activation, its role in human LIC regeneration, and sensitivity to NOTCH1 inhibition in hematopoietic microenvironments had not been elucidated.
We established humanized bioluminescent T-ALL LIC mouse models transplanted with pediatric T-ALL samples that were sequenced for NOTCH1 and other common T-ALL mutations. In this study, CD34(+) cells from NOTCH1(Mutated) T-ALL samples had higher leukemic engraftment and serial transplantation capacity than NOTCH1(Wild-type) CD34(+) cells in hematopoietic niches, suggesting that self-renewing LIC were enriched within the NOTCH1(Mutated) CD34(+) fraction. Humanized NOTCH1 monoclonal antibody treatment reduced LIC survival and self-renewal in NOTCH1(Mutated) T-ALL LIC-engrafted mice and resulted in depletion of CD34(+)CD2(+)CD7(+) cells that harbor serial transplantation capacity.
These results reveal a functional hierarchy within the LIC population based on NOTCH1 activation, which renders LIC susceptible to targeted NOTCH1 inhibition and highlights the utility of NOTCH1 antibody targeting as a key component of malignant stem cell eradication strategies.
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DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Multiple myeloma cell growth relies on intrinsic aggressiveness, due to a high karyotypic instability, or on the support from bone marrow (BM) niche.We and other groups have provided evidences that ...Notch signaling is related to tumor cell growth, pharmacological resistance, localization/recirculation in the BM and bone disease.This study indicates that high gene expression levels of Notch signaling members (JAG1, NOTCH2, HES5 and HES6) correlate with malignant progression or high-risk disease, and Notch signaling may participate in myeloma progression by increasing the BM levels of interleukin-6 (IL-6), a major player in myeloma cell growth and survival. Indeed, in vitro results, confirmed by correlation analysis on gene expression profiles of myeloma patients and immunohistochemical studies, demonstrated that Notch signaling controls IL-6 gene expression in those myeloma cells capable of IL-6 autonomous production as well as in surrounding BM stromal cells. In both cases Notch signaling activation may be triggered by myeloma cell-derived Jagged ligands. The evidence that Notch signaling positively controls IL-6 in the myeloma-associated BM makes this pathway a key mediator of tumor-directed reprogramming of the bone niche.This work strengthens the rationale for a novel Notch-directed therapy in multiple myeloma based on the inhibition of Jagged ligands.
Abstract
Introduction
Multiple myeloma (MM) is a plasma cell malignancy that accounts for more than 10% of all blood cancers and may progress to plasma cell leukemia (PCL). Despite treatment, ...virtually all patients become unresponsive to treatment. RNA editing is a post-transcriptional pre-mRNA processing activity that represents an unexplored potential source of clonal molecular heterogeneity contributing to therapeutic resistance. In particular, adenosine deaminase acting on RNA (ADAR) 1, which exists in two isoforms, one constitutive and one inflammation-responsive, has been associated with disease progression and cancer stem cell (CSC) maintenance. The aim of this study was to investigate whether enhanced ADAR1 expression and activity contributed to therapeutic resistance of MM and PCL.
Procedures
1) ADAR Quantification: Whole gene and isoform-specific qRT-PCR was used to detect ADAR1 expression in PCL and MM primary samples and in human MM cell lines (HMCL).
2) RNA Editing Detection: We developed a RNA editing site-specific qPCR (RESS-qPCR) assay to detect RNA editing in cancer stem-cell associated transcripts.
3) Therapeutic Resistance Assay. A MM cell line was exposed to lenalidomide continuously in vitro to establish a model of therapeutic resistance.
4) Development of a humanized PCL mouse model: We established novel in vivo PCL primagrafts by intrahepatic transplantation of primary total mononuclear cells into neonatal RAG2-/-gc-/- mice.
Results
Approximately, 30% of MM patients in the MM Genomic Initiative dataset harbor copy number amplifications of the ADAR locus on chromosome 1q21, which portends a poor prognosis. We observed significantly increased ADAR1 expression in primary PCL samples and aberrant RNA editing of the stem cell transcription factor GLI1 and the DNA cytidine deaminase APOBEC3D. Notably, high-ADAR1-expressing PCL cells successfully engrafted in RAG2-/-gc-/- mice. As the inflammation-responsive isoform of ADAR1 was upregulated in primary samples, we sought to explore the effects of the anti-MM agent and immunomodulatory drug lenalidomide on ADAR1 expression and activity. Continuous in vitro exposure to lenalidomide led to increased ADAR1 mRNA and protein level and a potent induction of RNA editing activity. Increased RNA editing was detected in several cancer and stem cell-associated transcripts, including GLI1, APOBEC3D, AZIN1 and MDM2. Notably, this aberrant RNA editing activity was associated with increased self-renewal capacity in vitro and a cancer stem cell phenotype.
Conclusions
ADAR1 overexpression and deregulated RNA editing represents a unique source of RNA and proteomic diversity, and may confer a survival and self-renewal advantage to MM cells. This research identifies ADAR1 as a new diagnostic and therapeutic target in MM, and establishes a robust humanized PCL primagraft model for future pre-clinical testing of ADAR1 modulatory agents.
Citation Format: Elisa Lazzari, Leslie A. Crews, Christina Wu, Heather Leu, Shawn Ali, Raffaella Chiaramonte, Mark Minden, Caitlin Costello, Catriona H.M. Jamieson. ADAR1-dependent RNA editing is a mechanism of therapeutic resistance in human plasma cell malignancies. abstract. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 2414.
Background and Purpose
Anti‐retrovirals have improved and extended the life expectancy of patients with HIV. However, as this population ages, the prevalence of cognitive changes is increasing. ...Aberrant activation of kinases, such as receptor tyrosine kinases (RTKs) and cyclin‐dependent kinase 5 (CDK5), play a role in the mechanisms of HIV neurotoxicity. Inhibitors of CDK5, such as roscovitine, have neuroprotective effects; however, CNS penetration is low. Interestingly, tyrosine kinase inhibitors (TKIs) display some CDK inhibitory activity and ability to cross the blood–brain barrier.
Experimental Approach
We screened a small group of known TKIs for a candidate with additional CDK5 inhibitory activity and tested the efficacy of the candidate in in vitro and in vivo models of HIV‐gp120 neurotoxicity.
Key Results
Among 12 different compounds, sunitinib inhibited CDK5 with an IC50 of 4.2 μM. In silico analysis revealed that, similarly to roscovitine, sunitinib fitted 6 of 10 features of the CDK5 pharmacophore. In a cell‐based model, sunitinib reduced CDK5 phosphorylation (pCDK5), calpain‐dependent p35/p25 conversion and protected neuronal cells from the toxic effects of gp120. In glial fibrillary acidic protein‐gp120 transgenic (tg) mice, sunitinib reduced levels of pCDK5, p35/p25 and phosphorylated tau protein, along with amelioration of the neurodegenerative pathology.
Conclusions and Implications
Compounds such as sunitinib with dual kinase inhibitory activity could ameliorate the cognitive impairment associated with chronic HIV infection of the CNS. Moreover, repositioning existing low MW compounds holds promise for the treatment of patients with neurodegenerative disorders.
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BFBNIB, DOBA, FZAB, GIS, IJS, IZUM, KILJ, NLZOH, NUK, OILJ, PILJ, PNG, SAZU, SBCE, SBMB, SIK, UILJ, UKNU, UL, UM, UPUK
Pediatric acute myeloid leukemia (pAML) is typified by high relapse rates and a relative paucity of somatic DNA mutations. Although seminal studies show that splicing factor mutations and ...mis-splicing fuel therapy-resistant leukemia stem cell (LSC) generation in adults, splicing deregulation has not been extensively studied in pAML. Herein, we describe single-cell proteogenomics analyses, transcriptome-wide analyses of FACS-purified hematopoietic stem and progenitor cells followed by differential splicing analyses, dual-fluorescence lentiviral splicing reporter assays, and the potential of a selective splicing modulator, Rebecsinib, in pAML. Using these methods, we discover transcriptomic splicing deregulation typified by differential exon usage. In addition, we discover downregulation of splicing regulator RBFOX2 and CD47 splice isoform upregulation. Importantly, splicing deregulation in pAML induces a therapeutic vulnerability to Rebecsinib in survival, self-renewal, and lentiviral splicing reporter assays. Taken together, the detection and targeting of splicing deregulation represent a potentially clinically tractable strategy for pAML therapy.
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•Pediatric acute myeloid leukemia stem cells harbor increased exon skipping events•Decreased RBFOX2 induces embryonic splicing and CD47 splice isoform upregulation•Lentiviral splicing reporter studies show exon skipping reversal with Rebecsinib•Rebecsinib inhibits pediatric acute myeloid leukemia stem cell propagation
Pediatric acute myeloid leukemia stem cells (LSCs) harbor increased exon skipping events and decreased RBFOX2 expression, which is linked to embryonic splicing patterns and CD47 splice isoform upregulation. van der Werf et al. show that the reversal of malignant exon skipping with Rebecsinib, a selective splicing modulator, prevents pediatric LSC propagation.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP