Central Nervous System Distribution of Panobinostat in Preclinical Models to Guide Dosing for Pediatric Brain Tumors.

Achieving adequate exposure of the free therapeutic agent at the target is a critical determinant of efficacious chemotherapy. With this in mind, a major challenge in developing therapies for central nervous system (CNS) tumors is to overcome barriers to delivery, including the blood-brain barrier (BBB). Panobinostat is a nonselective pan-histone deacetylase inhibitor that is being tested in preclinical and clinical studies, including for the treatment of pediatric medulloblastoma, which has a propensity for leptomeningeal spread and diffuse midline glioma, which can infiltrate into supratentorial brain regions. In this study, we examined the rate, extent, and spatial heterogeneity of panobinostat CNS distribution in mice. Transporter-deficient mouse studies show that panobinostat is a dual substrate of P-glycoprotein (P-gp) and breast cancer resistant protein (Bcrp), which are major efflux transporters expressed at the BBB. The CNS delivery of panobinostat was moderately limited by P-gp and Bcrp, and the unbound tissue-to-plasma partition coefficient of panobinostat was 0.32 and 0.21 in the brain and spinal cord in wild-type mice. In addition, following intravenous administration, panobinostat demonstrated heterogeneous distribution among brain regions, indicating that its efficacy would be influenced by tumor location or the presence and extent of leptomeningeal spread. Simulation using a compartmental BBB model suggests inadequate exposure of free panobinostat in the brain following a recommended oral dosing regimen in patients. Therefore, alternative approaches to CNS delivery may be necessary to have adequate exposure of free panobinostat for the treatment of a broad range of pediatric brain tumors. SIGNIFICANCE STATEMENT: This study shows that the central nervous system (CNS) penetration of panobinostat is limited by P-gp and Bcrp, and its efficacy may be limited by inadequate distribution to the tumor. Panobinostat has heterogeneous distribution into various brain regions, indicating that its efficacy might depend on the anatomical location of the tumors. These distributional parameters in the mouse CNS can inform both preclinical and clinical trial study design and may guide treatment for these devastating brain tumors in children.

Pan-HDAC inhibitors augment IL2-induced proliferation of NK cells via the JAK2-STAT5B signaling pathway.

BACKGROUND: Natural killer (NK) cells are a subtype of lymphocytes with the ability to quickly and efficiently identify and eliminate tumor cells. In the presence of IL2, NK cells can divide rapidly but in limited numbers. According to previous studies, in vivo treatment with histone deacetylase (HDAC) inhibitors did not impair NK-cell function. This study aimed to investigate the effect of HDAC inhibitors on NK-cell proliferation and the underlying regulatory mechanism. METHODS: NK92 cells, primary NK (pNK) cells, and CD19-CAR-NK92 cells were treated with low concentrations of pan-HDACi Dacinostat (Dac) and Panobinostat (Pan) in the presence of IL2, and Cell Counting Kit-8 (CCK8), 5-ethynyl-2'-deoxyuridine (EdU), and flow cytometry assays were used to assess cell proliferation and apoptosis. The expression of granzyme B was detected by immunofluorescence, and the expression of CD107a and NKG2D was determined by flow cytometry. The downstream regulatory genes were identified by RNA-seq, and the "JAK-STAT signaling pathway"- and "Cell cycle signaling pathway"-related genes were detected by real-time quantitative polymerase chain reaction (RT-qPCR) and Western blot analysis. The JAK2V617F mouse model was constructed to simulate the upregulation of the JAK2 signaling pathway in vivo, and the NK proliferation was evaluated by flow cytometry. A tumor-bearing nude mouse model was constructed to determine the anti-tumor efficacy of NK92 cells following Dac treatment. RESULTS: In the presence of IL2, the proliferation rate of NK92 cells, pNK cells, and CD19-CAR-NK92 cells treated with pan-HDACi Dac and Pan at low nanomolar doses was significantly increased, although cell function was unaffected. Low doses of Dac upregulated the JAK-STAT signaling pathway and enhance the cell cycle via that pathway. In addition, the in vivo experiment in nude mice showed that the capacity of Dac treated NK92 cells to eliminate tumor cells was unaffected. CONCLUSION: Low nanomolar doses of Pan-HDACi enhanced IL2-induced NK cell proliferation without compromising the functioning of NK cells.

Targeting FoxO transcription factors with HDAC inhibitors for the treatment of osteoarthritis.

OBJECTIVES: Osteoarthritis (OA) features ageing-related defects in cellular homeostasis mechanisms in articular cartilage. These defects are associated with suppression of forkhead box O (FoxO) transcription factors. FoxO1 or FoxO3 deficient mice show early onset OA while FoxO1 protects against oxidative stress in chondrocytes and promotes expression of autophagy genes and the essential joint lubricant proteoglycan 4 (PRG4). The objective of this study was to identify small molecules that can increase FoxO1 expression. METHODS: We constructed a reporter cell line with FoxO1 promoter sequences and performed high-throughput screening (HTS) of the Repurposing, Focused Rescue and Accelerated Medchem (ReFRAME) library . Hits from the HTS were validated and function was assessed in human chondrocytes, meniscus cells and synoviocytes and following administration to mice. The most promising hit, the histone deacetylase inhibitor (HDACI) panobinostat was tested in a murine OA model. RESULTS: Among the top hits were HDACI and testing in human chondrocytes, meniscus cells and synoviocytes showed that panobinostat was the most promising compound as it increased the expression of autophagy genes and PRG4 while suppressing the basal and IL-1ß induced expression of inflammatory mediators and extracellular matrix degrading enzymes. Intraperitoneal administration of panobinostat also suppressed the expression of mediators of OA pathogenesis induced by intra-articular injection of IL-1ß. In a murine OA model, panobinostat reduced the severity of histological changes in cartilage, synovium and subchondral bone and improved pain behaviours. CONCLUSION: Panobinostat has a clinically relevant activity profile and is a candidate for OA symptom and structure modification.

Panobinostat reverses HepaCAM gene expression and suppresses proliferation by increasing histone acetylation in prostate cancer.

Increased expression of histone deacetylases (HDACs) affiliated to the epigenetic regulation is common aberration in prostate cancer (PCa). We have confirmed that hepatocyte cell adhesion molecule (hepaCAM), acting as a tumor suppressor gene, is rarely expressed in PCa previously, However, the mechanisms of which is still unknown. The level of histone acetylation reportedly may involve anti-oncogene transcription and expression. In this study, we investigated the effect of panobinostat, the broad-spectrum histone deacetylases inhibitor, on PCa LNCaP and DU145 cell growth, and observed re-expression of hepaCAM when treated with panobinostat. We demonstrated that intranuclear acetylation of lys9 of histone H3 (Ac-H3K9) were increased, while that of both mRNA and protein of HDAC1, HDAC3, and HDAC4 were decreased when the treating concentration of panobinostat increased. We confirmed the relationship between histone acetylation and the expression of hepaCAM and AR in prostate cancer tissues. We also confirmed that panobinostat could overcome the resistance for androgen deprivation therapy (ADT). Further, we combined panobinostat with Ad-hepaCAM, which resulted in significantly increased antitumor activity and significant attenuation of the proliferation-associated genes CCND1 and PCNA compared to each single treatment. In conclusion, panobinostat may enhance the acetylation of lys9 of histone 3 and reverse the hepaCAM expression through its inhibitory effect on HDACs activity in PCa LNCaP and DU145 cells; Ad-hepaCAM combined with panobinostat may synergistically inhibit the growth of LNCaP and DU145 cells, via a potential mechanism associated with the down-regulation of the expression of CCND1 and PCNA. These findings suggest that this therapeutic strategy should be further developed in clinical trials.

Design of Hydrazide-Bearing HDACIs Based on Panobinostat and Their p53 and FLT3-ITD Dependency in Antileukemia Activity.

Here, we present a new series of hydrazide-bearing class I selective HDAC inhibitors designed based on panobinostat. The cap, linker, and zinc-binding group were derivatized to improve HDAC affinity and antileukemia efficacy. Lead inhibitor 13a shows picomolar or low nanomolar IC50 values against HDAC1 and HDAC3 and exhibits differential toxicity profiles toward multiple cancer cells with different FLT3 and p53 statuses. 13a indirectly inhibits the FLT3 signaling pathway and down-regulates master antiapoptotic proteins, resulting in the activation of pro-caspase3 in wt-p53 FLT3-ITD MV4-11 cells. While in the wt-FLT3 and p53-null cells, 13a is incapable of causing apoptosis at a therapeutic concentration. The MDM2 antagonist and the proteasome inhibitor promote 13a-triggered apoptosis by preventing p53 degradation. Furthermore, we demonstrate that apoptosis rather than autophagy is the key contributing factor for 13a-triggered cell death. When compared to panobinostat, 13a is not mutagenic and displays superior in vivo bioavailability and a higher AUC0-inf value.

Nonparametric Analysis of Thermal Proteome Profiles Reveals Novel Drug-binding Proteins.

Detecting the targets of drugs and other molecules in intact cellular contexts is a major objective in drug discovery and in biology more broadly. Thermal proteome profiling (TPP) pursues this aim at proteome-wide scale by inferring target engagement from its effects on temperature-dependent protein denaturation. However, a key challenge of TPP is the statistical analysis of the measured melting curves with controlled false discovery rates at high proteome coverage and detection power. We present nonparametric analysis of response curves (NPARC), a statistical method for TPP based on functional data analysis and nonlinear regression. We evaluate NPARC on five independent TPP data sets and observe that it is able to detect subtle changes in any region of the melting curves, reliably detects the known targets, and outperforms a melting point-centric, single-parameter fitting approach in terms of specificity and sensitivity. NPARC can be combined with established analysis of variance (ANOVA) statistics and enables flexible, factorial experimental designs and replication levels. An open source software implementation of NPARC is provided.