Discovery of 18F Labeled AZD5213 Derivatives as Novel Positron Emission Tomography (PET) Radioligands Targeting Histamine Subtype-3 Receptor.

The histamine subtype 3 (H3) receptor is an important drug target in the central nervous system (CNS), and PET imaging offers a promising technique for the noninvasive evaluation of CNS disease related to the H3 receptor. In this study, we synthesized and evaluated the binding effects of [18F]H3-2404 and [18F]H3-2405 by modifying the structure of AZD5213, a selective H3 antagonist. These two radioligands were prepared in high radiochemical yields and displayed stability in serum. The in vitro autoradiographic study in rat brain tissue and the following in vivo PET studies in mice demonstrated sufficient brain uptake but predominantly non-specific distribution in rodent brain. Although these data suggest that [18F]H3-2404 and [18F]H3-2405 are unsuitable as PET tracers for brain imaging of the H3 receptor, this study provides a valuable attempt for optimizing 18F labeled radiotracers based on AZD5213.

Preclinical Evaluation of Azabenzimidazole-Based PET Radioligands for γ-8 Dependent Transmembrane AMPA Receptor Regulatory Protein Imaging.

AMPA glutamate receptors (AMPARs) play a pivotal role in excitatory neurotransmission, particularly in the hippocampus where the TARP γ-8 subunit is enriched and serves as a target for emerging anti-epileptic drugs. To enable in vivo visualization of TARP γ-8 distribution and expression by positron emission tomography (PET), this study focuses on the development of novel 18 F-labeled TARP γ-8 inhibitors and their corresponding precursors, stemming from the azabenzimidazole scaffold. The resulting radioligands [18 F]TARP-2204 and [18 F]TARP-2205 were successfully synthesized with acceptable radiochemical yield, high molar activity, and excellent radiochemical purity. In vitro autoradiography demonstrates high level of specific binding of [18 F]TARP-2205 to TARP γ-8 in both rat and nonhuman primate brain tissues. However, unexpected radiodefluorination in PET imaging studies of rodents emphasizes the need for further structural refinement. This work serves as an excellent starting point for the development of future 18 F-labeled TARP γ-8 PET tracers, offering valuable insights into medicinal chemistry design, radiosynthesis and subsequent PET evaluation.

Targeting Mycobacterium tuberculosis response to environmental cues for the development of effective antitubercular drugs.

Sensing and response to environmental cues, such as pH and chloride (Cl-), is critical in enabling Mycobacterium tuberculosis (Mtb) colonization of its host. Utilizing a fluorescent reporter Mtb strain in a chemical screen, we have identified compounds that dysregulate Mtb response to high Cl- levels, with a subset of the hits also inhibiting Mtb growth in host macrophages. Structure-activity relationship studies on the hit compound "C6," or 2-(4-((2-(ethylthio)pyrimidin-5-yl)methyl)piperazin-1-yl)benzo[d]oxazole, demonstrated a correlation between compound perturbation of Mtb Cl- response and inhibition of bacterial growth in macrophages. C6 accumulated in both bacterial and host cells, and inhibited Mtb growth in cholesterol media, but not in rich media. Subsequent examination of the Cl- response of Mtb revealed an intriguing link with bacterial growth in cholesterol, with increased transcription of several Cl--responsive genes in the simultaneous presence of cholesterol and high external Cl- concentration, versus transcript levels observed during exposure to high external Cl- concentration alone. Strikingly, oral administration of C6 was able to inhibit Mtb growth in vivo in a C3HeB/FeJ murine infection model. Our work illustrates how Mtb response to environmental cues can intersect with its metabolism and be exploited in antitubercular drug discovery.

Abdominal wall reconstruction after cytoreduction surgery-hyperthermic intraperitoneal chemotherapy.

BACKGROUND: Cytoreduction surgery (CRS) and hyperthermic intraperitoneal chemotherapy (HIPEC) improve survival and decrease recurrence of peritoneal metastasis in a select population of patients. Abdominal wall resection is often needed to achieve complete CRS and the extent of abdominal wall resection may necessitate abdominal wall reconstruction (AWR). We sought to investigate if postoperative morbidity and mortality was increased in patients who underwent AWR with CRS-HIPEC (AWR group) compared to CRS-HIPEC without AWR (non-AWR group) and to identify if patient, tumor, and operative risk factors were associated with poor outcomes following AWR. We postulate that AWR is a safe and viable treatment option in appropriately selected patients with peritoneal disease. METHODS: A retrospective chart review was conducted from 2012 to 2015. Demographics, comorbidities, intraoperative variables, and postoperative outcomes were analyzed and compared between the non-AWR group and the AWR group. RESULTS: A total of 30 patients underwent CRS-HIPEC at our institution; 19 recruited in non-AWR group and 11 in the AWR arm. Median follow-up was 19.1 mo for the non-AWR group and 15.6 mo for AWR. Overall survival and complications were not significantly different between groups. Six patients in the non-AWR group and three patients in AWR group died during the follow-up period (32% versus 27%, P = 0.75). Grade III/IV Clavien-Dindo complications were similar in AWR compared to non-AWR group (64% versus 50%, P = 0.46) however estimated blood loss (1000 mL versus 450 mL, P = 0.01) and operative time (663 min versus 510 min, P = 0.02) were significantly increased in the AWR group. CONCLUSIONS: The results of this study demonstrate that AWR is a safe and viable option and can improve wound closure and strength in select patient populations undergoing CRS-HIPEC. AWR is not associated with an increase in mortality or complication rate. Future studies will need larger sample sizes and randomization to identify patient and operative factors that increase morbidity with AWR and identify the ideal timing of AWR.

Naïve Bayesian Models for Vero Cell Cytotoxicity.

PURPOSE: To advance translational research of potential therapeutic small molecules against infectious microbes, the compounds must display a relative lack of mammalian cell cytotoxicity. Vero cell cytotoxicity (CC50) is a common initial assay for this metric. We explored the development of naïve Bayesian models that can enhance the probability of identifying non-cytotoxic compounds. METHODS: Vero cell cytotoxicity assays were identified in PubChem, reformatted, and curated to create a training set with 8741 unique small molecules. These data were used to develop Bayesian classifiers, which were assessed with internal cross-validation, external tests with a set of 193 compounds from our laboratory, and independent validation with an additional diverse set of 1609 unique compounds from PubChem. RESULTS: Evaluation with independent, external test and validation sets indicated that cytotoxicity Bayesian models constructed with the ECFP_6 descriptor were more accurate than those that used FCFP_6 fingerprints. The best cytotoxicity Bayesian model displayed predictive power in external evaluations, according to conventional and chance-corrected statistics, as well as enrichment factors. CONCLUSIONS: The results from external tests demonstrate that our novel cytotoxicity Bayesian model displays sufficient predictive power to help guide translational research. To assist the chemical tool and drug discovery communities, our curated training set is being distributed as part of the Supplementary Material. Graphical Abstract Naive Bayesian models have been trained with publically available data and offer a useful tool for chemical biology and drug discovery to select for small molecules with a high probability of exhibiting acceptably low Vero cell cytotoxicity.

Poly(ADP-ribose) polymerase (PARP)-targeted PET imaging in non-oncology application: a pilot study in preclinical models of nonalcoholic steatohepatitis.

Poly(ADP-ribose) polymerase (PARP) activation often indicates a disruptive signal to lipid metabolism, the physiological alteration of which may be implicated in the development of non-alcoholic fatty liver disease. The objective of this study was to evaluate the capability of [68Ga]DOTA-PARPi PET to detect hepatic PARP expression in a non-alcoholic steatohepatitis (NASH) mouse model. In this study, male C57BL/6 mice were subjected to a choline-deficient, L-amino acid-defined, high-fat diet (CDAHFD) for a 12-week period to establish preclinical NASH models. [68Ga]DOTA-PARPi PET imaging of the liver was conducted at the 12-week mark after CDAHFD feeding. Comprehensive histopathological analysis, covering hepatic steatosis, inflammation, fibrosis, along with blood biochemistry, was performed in both NASH models and control groups. Despite the induction of severe inflammation, steatosis and fibrosis in the liver of mice with the CDAHFD-NASH model, PET imaging of NASH with [68Ga]-DOTA-PARPi did not reveal a significantly higher uptake in NASH models compared to the control. This underscores the necessity for further development of new chelator-based PARP1 tracers with high binding affinity to enable the visualization of PARP1 changes in NASH pathology.

Radiomic Analysis of Treatment Effect for Patients with Radiation Necrosis Treated with Pentoxifylline and Vitamin E.

BACKGROUND: The combination of oral pentoxifylline (Ptx) and vitamin E (VitE) has been used to treat radiation-induced fibrosis and soft tissue injury. Here, we review outcomes and perform a radiomic analysis of treatment effects in patients prescribed Ptx + VitE at our institution for the treatment of radiation necrosis (RN). METHODS: A total of 48 patients treated with stereotactic radiosurgery (SRS) had evidence of RN and had MRI before and after starting Ptx + VitE. The radiation oncologist's impression of the imaging in the electronic medical record was used to score response to treatment. Support Vector Machine (SVM) was used to train a model of radiomics features derived from radiation necrosis on pre- and 1st post-treatment T1 post-contrast MRIs that can classify the ultimate response to treatment with Ptx + VitE. RESULTS: A total of 43.8% of patients showed evidence of improvement, 18.8% showed no change, and 25% showed worsening RN upon imaging after starting Ptx + VitE. The median time-to-response assessment was 3.17 months. Nine patients progressed significantly and required Bevacizumab, hyperbaric oxygen therapy, or surgery. Patients who had multiple lesions treated with SRS were less likely to show improvement (p = 0.037). A total of 34 patients were also prescribed dexamethasone, either before (7), with (16), or after starting (11) treatment. The use of dexamethasone was not associated with an improved response to Ptx + VitE (p = 0.471). Three patients stopped treatment due to side effects. Finally, we were able to develop a machine learning (SVM) model of radiomic features derived from pre- and 1st post-treatment MRIs that was able to predict the ultimate treatment response to Ptx + VitE with receiver operating characteristic (ROC) area under curve (AUC) of 0.69. CONCLUSIONS: Ptx + VitE appears safe for the treatment of RN, but randomized data are needed to assess efficacy and validate radiomic models, which may assist with prognostication.

Patterns of Treatment Failure in Primary Central Nervous System Lymphoma.

OBJECTIVES: Progression of PCNSL remains a challenge with salvage therapies, including the risk of substantial morbidity and mortality. We report patterns of first tumor progression to inform opportunities for improvement. METHODS: This is an institutional retrospective review from 2002 to 2021 of 95 consecutive patients with pathologically confirmed PCNSL, of whom 29 experienced progressive disease. Kaplan-Meier method, log-rank test, and Cox proportional hazard models are used to characterize associations of patient, tumor, and treatment variables with LC, PFS, and patterns of first failure. RESULTS: Most patients were below 65 years old (62%) with KPS >70 (64%) and negative CSF cytology (70%). In 70 patients with MRIs, the median tumor volume was 12.6 mL (range: 0.5 to 67.8 mL). After a median follow-up of 11 months, 1-year PFS was 48% and 1-year LC was 80%. Of the 29 patients with progression, 24% were distant only, 17% were distant and local, and 59% were local only. On MVA, LC was associated with age (HR: 1.08/y, P =0.02), KPS (HR: 0.10, P =0.02), completion of >6 cycles of HD-MTX (HR: 0.10, P <0.01), and use of intrathecal chemotherapy (HR: 0.03, P <0.01). On UVA, local only first failure trended to be increased with >14 mL tumors (OR: 5.06, P =0.08) with 1-year LC 83% (<14 mL) versus 64% (>14mL). There were no significant associations with LC and WBRT ( P =0.37), Rituximab ( P =0.12), or attempted gross total resection ( P =0.72). CONCLUSIONS: Our findings reaffirm the importance of systemic and intrathecal therapies for local control in PCNSL. However, bulky tumors trend to fail locally, warranting further investigation about the role of local therapies or systemic therapy intensification.

Immune System Dose With Proton Versus Photon Radiotherapy for Treatment of Locally Advanced NSCLC.

Purpose: Emerging data have illuminated the impact of effective radiation dose to immune cells (EDIC) on outcomes in patients with locally advanced, unresectable non-small cell lung cancer (NSCLC) treated with intensity-modulated radiotherapy (IMRT). Hypothesizing that intensity-modulated proton therapy (IMPT) may reduce EDIC versus IMRT, we conducted a dosimetric analysis of patients treated at our institution. Materials and Methods: Data were retrospectively collected for 12 patients with locally advanced, unresectable NSCLC diagnosed between 2019 and 2021 who had physician-approved IMRT and IMPT plans. Data to calculate EDIC from both Jin et al (PMID: 34944813) and Ladbury et al's (PMID: 31175902) models were abstracted. Paired t tests were utilized to compare the difference in mean EDIC between IMPT and IMRT plans. Results: IMPT decreased EDIC for 11 of 12 patients (91.7%). The mean EDIC per the Jin model was significantly lower with IMPT than IMRT (3.04 GyE vs 4.99 Gy, P < .001). Similarly, the mean EDIC per the Ladbury model was significantly lower with IMPT than IMRT (4.50 GyE vs 7.60 Gy, P < .002). Modeled 2-year overall survival was significantly longer with IMPT than IMRT (median 71% vs 63%; P = .03). Conclusion: IMPT offers a statistically significant reduction in EDIC compared to IMRT. Given the emergence of EDIC as a modifiable prognostic factor in treatment planning, our dosimetric study highlights a potential role for IMPT to address an unmet need in improving oncologic outcomes in patients with locoregionally advanced NSCLC.

Small Molecule Benzothiophene with In Vivo Efficacy in a Mouse Model of Drug-Resistant Enterococcus faecium Infection.

Hospital-acquired infections, caused by ESKAPE bacteria, are a challenging global public health concern, in part due to the emergence of drug-resistant strains. While profiling a diverse set of compounds for in vitro activity versus this class of bacteria, we noted that the benzothiophene JSF-2827 exhibited promising antibacterial activity against Enterococcus faecium. A hit evolution campaign ensued, involving the design, synthesis, and biological assay of analogues designed to address early issues such as a short mouse liver microsome half-life and a modest mouse pharmacokinetic profile. Among these derivatives, JSF-3269 was found to exhibit an enhanced profile and in vivo efficacy in an immunocompetent mouse model of acute, drug-resistant E. faecium infection. The findings suggest a rationale for the further evolution of this promising series to afford a novel therapeutic strategy to treat drug-resistant E. faecium infection.

Impact of immunotherapy time-of-day infusion on survival and immunologic correlates in patients with metastatic renal cell carcinoma: a multicenter cohort analysis.

BACKGROUND: Recent studies have demonstrated that earlier time-of-day infusion of immune checkpoint inhibitors (ICIs) is associated with longer progression-free survival (PFS) and overall survival (OS) among patients with metastatic melanoma and non-small cell lung cancer. These data are in line with growing preclinical evidence that the adaptive immune response may be more effectively stimulated earlier in the day. We sought to determine the impact of time-of-day ICI infusions on outcomes among patients with metastatic renal cell carcinoma (mRCC). METHODS: The treatment records of all patients with stage IV RCC who began ICI therapy within a multicenter academic hospital system between 2015 and 2020 were reviewed. The associations between the proportion of ICI infusions administered prior to noon (denoting morning infusions) and PFS and OS were evaluated using univariate and multivariable Cox proportional hazards regression. RESULTS: In this study, 201 patients with mRCC (28% women) received ICIs and were followed over a median of 18 months (IQR 5-30). The median age at the time of ICI initiation was 63 years (IQR 56-70). 101 patients (50%) received ≥20% of their ICI infusions prior to noon (Group A) and 100 patients (50%) received <20% of infusions prior to noon (Group B). Across the two comparison groups, initial ICI agents consisted of nivolumab (58%), nivolumab plus ipilimumab (34%), and pembrolizumab (8%). On univariate analysis, patients in Group A had longer PFS and OS compared with those in Group B (PFS HR 0.67, 95% CI 0.48 to 0.94, Punivar=0.020; OS HR 0.57, 95% CI 0.34 to 0.95, Punivar=0.033). These significant findings persisted following multivariable adjustment for age, sex, performance status, International Metastatic RCC Database Consortium risk score, pretreatment lactate dehydrogenase, histology, and presence of bone, brain, and liver metastases (PFS HR 0.70, 95% CI 0.50 to 0.98, Pmultivar=0.040; OS HR 0.57, 95% CI 0.33 to 0.98, Pmultivar=0.043). CONCLUSIONS: Patients with mRCC may benefit from earlier time-of-day receipt of ICIs. Our findings are consistent with established mechanisms of chrono-immunology, as well as with preceding analogous studies in melanoma and lung cancer. Additional prospective randomized trials are warranted.

Rickettsia Aglow: A Fluorescence Assay and Machine Learning Model to Identify Inhibitors of Intracellular Infection.

Rickettsia is a genus of Gram-negative bacteria that has for centuries caused large-scale morbidity and mortality. In recent years, the resurgence of rickettsial diseases as a major cause of pyrexias of unknown origin, bioterrorism concerns, vector movement, and concerns over drug resistance is driving a need to identify novel treatments for these obligate intracellular bacteria. Utilizing an uvGFP plasmid reporter, we developed a screen for identifying anti-rickettsial small molecule inhibitors using Rickettsia canadensis as a model organism. The screening data were utilized to train a Bayesian model to predict growth inhibition in this assay. This two-pronged methodology identified anti-rickettsial compounds, including duartin and JSF-3204 as highly specific, efficacious, and noncytotoxic compounds. Both molecules exhibited in vitro growth inhibition of R. prowazekii, the causative agent of epidemic typhus. These small molecules and the workflow, featuring a high-throughput phenotypic screen for growth inhibitors of intracellular Rickettsia spp. and machine learning models for the prediction of growth inhibition of an obligate intracellular Gram-negative bacterium, should prove useful in the search for new therapeutic strategies to treat infections from Rickettsia spp. and other obligate intracellular bacteria.

Long-Term Recurrence of Retroperitoneal Dedifferentiated Liposarcoma After a Complete Surgical Resection: A Report of a Rare Phenomenon.

The objective of this report is to present a rare case of a recurrence after 20 years of retroperitoneal dedifferentiated liposarcoma after surgical resection and to discuss the lessons learned from this rare phenomenon for patients management and understanding the behavior of these aggressive tumors.  A 75-year-old woman presented with recurrent retroperitoneal dedifferentiated liposarcoma who had undergone a surgical resection 20 years earlier and had no evidence of disease on frequent follow-ups during that period. The histopathologic examination revealed different morphologic characteristics between the initial and recurrent presentations. The fluorescence in situ hybridization showed amplification of the mouse double minute 2 homolog (MDM2), a regulator of p53 gene on chromosome 12q15, and positive cyclin-dependent kinase 4 (CDK4) immunostain. Liposarcoma long-term recurrence is a challenging surgical disease to provide the best survival outcome. Incomplete resection could explain the recurrence in anatomic locations where the lesions are intermixed with the neighboring adipose tissue. However, dedifferentiated liposarcoma can rarely recur after 20 years. The molecular transformation and the survival analysis of these tumors predict certain behaviors. The refraction for radiation therapy in our case and the mixed morphology provide some insight into the biology and the clinical management for these aggressive tumors.

Clinicopathologic characteristics of laryngeal chondrosarcoma: An analysis of the National Cancer Database.

OBJECTIVES: Laryngeal Chondrosarcoma (LC) is a rare malignancy with limited studies documenting its clinicopathologic characteristics and treatment options. This study reports demographic and clinical determinants of outcomes for this rare tumor. METHODS: The National Cancer Database (NCDB) was queried for cases of LC reported from 2004-2016. 274 cases that met inclusion criteria were analyzed for demographic and clinicopathologic characteristics. Kaplan-Meier (KM) and Cox proportional hazard analyses were conducted to identify variables that impacted the overall survival of these patients. RESULTS: LC was found to be more common in males (74.8%). The mean age of patients was 61.8 years and 92.3% of the patients were white. 91.3% of patients were treated with only surgical resection, most commonly: partial laryngectomy (31.6%), total laryngectomy (25.7%), and local resection (22.4%). 98.8% of patients had no evidence of nodal disease and 99.6% of patients did not have distant metastasis at presentation. KM analysis revealed a 5-year overall survival (5YOS) of 89.0%. Age, insurance status, facility type, and surgery type were significant predictors of 5YOS (p<0.05). On Cox Proportional Hazard analysis, private insurance significantly improved survival (HR 0.21; p = 0.048) while increasing age was a poor prognostic indicator (HR 1.10; p = 0.004). CONCLUSION: The majority of LC patients present with no nodal involvement or distant metastasis at diagnosis, and overall this tumor has a favorable prognosis. Increasing age was found to be a poor prognostic factor while private insurance status was associated with improved survival.

Bayesian Modeling and Intrabacterial Drug Metabolism Applied to Drug-Resistant Staphylococcus aureus.

We present the application of Bayesian modeling to identify chemical tools and/or drug discovery entities pertinent to drug-resistant Staphylococcus aureus infections. The quinoline JSF-3151 was predicted by modeling and then empirically demonstrated to be active against in vitro cultured clinical methicillin- and vancomycin-resistant strains while also exhibiting efficacy in a mouse peritonitis model of methicillin-resistant S. aureus infection. We highlight the utility of an intrabacterial drug metabolism (IBDM) approach to probe the mechanism by which JSF-3151 is transformed within the bacteria. We also identify and then validate two mechanisms of resistance in S. aureus: one mechanism involves increased expression of a lipocalin protein, and the other arises from the loss of function of an azoreductase. The computational and experimental approaches, discovery of an antibacterial agent, and elucidated resistance mechanisms collectively hold promise to advance our understanding of therapeutic regimens for drug-resistant S. aureus.

Pruned Machine Learning Models to Predict Aqueous Solubility.

Solubility is a key metric for therapeutic compounds. Conversely, insoluble compounds cloud the accuracy of assays at all stages of chemical biology and drug discovery. Herein, we disclose naïve Bayesian classifier models to predict aqueous solubility. Publicly accessible aqueous solubility data were used to create two full, or nonpruned, training sets. These two sets were also combined to create a full fused set, and a training set comprised of a literature collation of solubility data was also considered as a reference. We tested different extents of data pruning on the training sets and constructed machine learning models that were evaluated with two independent, external test sets that contained compounds that were different from the training sets. The best pruned and fused model was significantly more accurate, in comparison to either the full model or the full fused model, with the prediction of these external test sets. By carefully removing data from the training set, less information can be used to create more accurate machine learning models for aqueous solubility. This knowledge and the curated training sets should prove useful to future machine learning approaches.

Addressing the Metabolic Stability of Antituberculars through Machine Learning.

We present the first prospective application of our mouse liver microsomal (MLM) stability Bayesian model. CD117, an antitubercular thienopyrimidine tool compound that suffers from metabolic instability (MLM t1/2 < 1 min), was utilized to assess the predictive power of our new MLM stability model. The S-substituent was removed, a set of commercial reagents was utilized to construct a virtual library of 411 analogues, and our MLM stability model was applied to prioritize 13 analogues for synthesis and biological profiling. In MLM stability assays, all 13 analogues had superior metabolic stability to the parent compound, and six new analogues had acceptable MLM t1/2 values greater than or equal to 60 min. It is noteworthy that whole-cell efficacy and lack of relative mammalian cell cytotoxicity could not be predicted simultaneously. These results support the utility of our new MLM stability model in chemical tool and drug discovery optimization efforts.

Non-coding RNA as mediators in microenvironment-breast cancer cell communication.

The tumor microenvironment has a critical role in the survival and decision of the cancer cells. These include support by enhanced angiogenesis, and metastasis or adaptation of dormancy. This article discusses methods by which the microenvironment sustains the tumor. This process is important as it will identify avenues of drug targets. Non-coding RNAs (ncRNAs) are evolving as key mediators in the interaction between the cancer cells and the microenvironment. Thus, the question is how to develop methods to effectively block the effects of the ncRNA and/or to introduce them to prevent metastasis, dormancy or to reverse dormancy. We focused on the advantages of using mesenchymal stem cells (MSCs) for RNA delivery. MSCs can be available as "off-the-shelf" cells. Thus far, MSCs are shown to be safe when transplanted across allogeneic barriers. We discussed the various methods by which MSCs can interact with cancer cells to deliver ncRNA or antagomirs. We also include the advances and possible confounds of using these methods. Overall, this review article provides a potential method by which MSCs can be used for effective delivery of nucleic acid to treat cancer.