The value of virtual molecular tumor boards for informed clinical decision-making.

Genomic profiling and other new technologies have increased the volume and complexity of information available for guiding clinical decision-making in precision oncology. Consequently, there is a need for multidisciplinary expert teams, in the form of molecular tumor boards (MTBs), who can translate this information into a therapeutic plan, including matching patients to suitable clinical trials. Virtual MTBs (vMTBs) can help to overcome many of the challenges associated with in-person MTBs, such as limited time availability, access to appropriate experts or datasets, or interactions between institutions. However, real-world experience from vMTBs is lacking. Here, we describe oncologists' vMTB experiences and the value of working with multicenter and/or multinational vMTBs. We also address knowledge gaps and barriers that could affect the implementation of vMTBs in routine clinical practice. Case studies from Argentina, Turkey, and Portugal illustrate the value of informed clinical decision-making by vMTBs, including expansion of therapeutic options for patients, faster time to treatment, and the resulting improvement in patient outcomes or impact of vMTB discussions on patients. With the uptake of comprehensive genomic profiling and the evolution of some cancers now being conceptualized as a collection of rare diseases with small patient populations based on molecular profiling, the importance of MTBs has increased in modern cancer management. However, an adjustment in clinical decision-making by healthcare professionals is required and evidence of the added value of vMTBs is lacking. Existing vMTBs and recommendations from participating oncologists could point toward a structured evaluation and analysis of this new platform.

A novel model for malware propagation on wireless sensor networks.

The main goal of this work was to propose a novel mathematical model for malware propagation on wireless sensor networks (WSN). Specifically, the proposed model was a compartmental and global one whose temporal dynamics were described by means of a system of ordinary differential equations. This proposal was more realistic than others that have appeared in the scientific literature since. On the one hand, considering the specifications of malicious code propagation, several types of nodes were considered (susceptible, patched susceptible, latent non-infectious, latent infectious, compromised non-infectious, compromised infectious, damaged, ad deactivated), and on the other hand, a new and more realistic term of the incidence was defined and used based on some particular characteristics of transmission protocol on wireless sensor networks.

Daily Consumption of Golden Berry (Physalis peruviana) Has Been Shown to Halt the Progression of Insulin Resistance and Obesity in Obese Rats with Metabolic Syndrome.

In a study addressing the high risk of chronic diseases in people with diabetes and obesity linked to metabolic syndrome, the impact of a Golden Berry diet was investigated using a diabetic animal model. Obese rats with diabetic characteristics were fed a diet containing five percent Golden Berry for 16 days. This study focused on various parameters including organ weights, expression of metabolic genes, and urinary biomarkers. Post-Golden Berry intake, there was a notable decrease in the body, liver, pancreas, visceral, and subcutaneous adipose tissue weights in these obese, hyperglycemic rats. In contrast, an increase in brown adipose tissue (BAT) cell mass was observed. This diet also resulted in reduced blood glucose levels and normalized plasma biochemical profiles, including cholesterol, triglycerides, LDL, and HDL levels. Additionally, it modulated specific urinary biomarkers, particularly pipe-colic acid, a primary marker for type 2 diabetes. Bioinformatics analysis linked these dietary effects to improved insulin signaling and adipogenesis. Regular consumption of Golden Berry effectively prevented insulin resistance and obesity in rats, underscoring its significant health benefits and the protective role of an antioxidant-rich diet against metabolic syndrome. These findings offer promising insights for future therapeutic strategies to manage and prevent obesity and related chronic diseases.

Neoadjuvant Platinum-Based chemotherapy and lymphadenectomy for penile cancer: an international, Multi-Institutional, Real-World study.

INTRODUCTION: This study investigated the efficacy and safety of neoadjuvant chemotherapy (NAC) for locally advance penile squamous cell carcinoma (PSCC), for which current evidence is lacking. METHODS: Included patients had locally advanced PSCC with clinical lymph node metastasis treated with at least one dose of NAC prior to planned consolidative lymphadenectomy. Objective response rates (ORR) were assessed using Response Evaluation Criteria in Solid Tumors (RECIST) v1.1. The primary and secondary outcomes were overall survival and progression-free survival, estimated by the Kaplan-Meier method. Treatment-related adverse events (trAEs) were graded per the Common Terminology Criteria for Adverse Events (CTCAE) v5.0. RESULTS: 209 patients received NAC for locally advanced and clinically node-positive PSCC.The study population consisted of 7% of patients with stage II disease, 48% with stage III, and 45% with stage IV. Grade 2 TrAEs occurred in 35 (17%) patients, and no treatment related mortality was observed. 201 (97%) completed planned consolidative lymphadenectomy. During follow up, 106 (52.7%) patients expired, with a median OS of 37.0 months (95% CI 23.8-50.1), and median PFS of 26.0 months (95% CI 11.7-40.2). ORR was 57.2%, with 87 (43.2%) having partial response and 28 (13.9%) having a complete response. Patients with objective response to NAC had a longer median OS (73.0 vs 17.0 months, p < .01) compared to those who did not. The lymph-node pathologic complete response rate (ypN0) was 24.8% in the cohort. CONCLUSION: NAC with lymphadenectomy for locally advanced PSCC is well tolerated and active to reduce the disease burden and improve long term survival outcomes.

Metavalent or Hypervalent Bonding: Is There a Chance for Reconciliation?

A family of solids including crystalline phase change materials such as GeTe and Sb2 Te3 , topological insulators like Bi2 Se3, and halide perovskites such as CsPbI3 possesses an unconventional property portfolio that seems incompatible with ionic, metallic, or covalent bonding. Instead, evidence is found for a bonding mechanism characterized by half-filled p-bands and a competition between electron localization and delocalization. Different bonding concepts have recently been suggested based on quantum chemical bonding descriptors which either define the bonds in these solids as electron-deficient (metavalent) or electron-rich (hypervalent). This disagreement raises concerns about the accuracy of quantum-chemical bonding descriptors is showed. Here independent of the approach chosen, electron-deficient bonds govern the materials mentioned above is showed. A detailed analysis of bonding in electron-rich XeF2 and electron-deficient GeTe shows that in both cases p-electrons govern bonding, while s-electrons only play a minor role. Yet, the properties of the electron-deficient crystals are very different from molecular crystals of electron-rich XeF2 or electron-deficient B2 H6 . The unique properties of phase change materials and related solids can be attributed to an extended system of half-filled bonds, providing further arguments as to why a distinct nomenclature such as metavalent bonding is adequate and appropriate for these solids.

Main urinary biomarkers of golden berries (Physalis peruviana) following acute and short-term nutritional intervention in healthy human volunteers.

The metabolites entering the bloodstream and being excreted in urine as a result of consuming golden berries are currently unidentified. However, these metabolites potentially underlie the health benefits observed in various in vitro, animal, and human models. A nutritional intervention with 18 healthy human volunteers was performed, and urine was collected at baseline and after acute and short-term fruit consumption for 19 days. After UPLC-ESI/QToF-MS analysis, untargeted metabolomics was performed on the urine samples, and from the 50 most discriminant ions (VIP > 2) generated by a validated PLS-DA model (CV-ANOVA = 3.7e-35; R^2Y = 0.86, Q^2Y = 0.62 and no overfitting), 22 compounds were identified with relatively high confidence. The most discriminant metabolites confirmed by DHS/GC-MS2 analysis of volatiles in urine were sesquiterpenes (C15H22): 3 stereoisomers, ß-vatirenene, ß-vetivenene, and ß-vetispirene, and 2 isomers, eremophila-1(10),8,11-triene and α-curcumene. Another major urinary biomarker was 4ß-hydroxywithanolide E and its phase II derivatives, which were observed in urine for all individual up to 24 h after the fruit was consumed; thus, the bioavailability of this biomarker in humans was demonstrated for the first time. Additionally, the excretion of certain acylcarnitines and hypoxanthine in urine increased after golden berry consumption, which may be associated with a detoxifying effect and may occur because fats were utilized rather than carbohydrates to meet the body's energy needs. The main biomarkers of golden berry consumption are specific to this fruit, confirming its potential for the functional food market.

Atezolizumab plus cabozantinib versus cabozantinib monotherapy for patients with renal cell carcinoma after progression with previous immune checkpoint inhibitor treatment (CONTACT-03): a multicentre, randomised, open-label, phase 3 trial.

BACKGROUND: Immune checkpoint inhibitors are the standard of care for first-line treatment of patients with metastatic renal cell carcinoma, yet optimised treatment of patients whose disease progresses after these therapies is unknown. The aim of this study was to determine whether adding atezolizumab to cabozantinib delayed disease progression and prolonged survival in patients with disease progression on or after previous immune checkpoint inhibitor treatment. METHODS: CONTACT-03 was a multicentre, randomised, open-label, phase 3 trial, done in 135 study sites in 15 countries in Asia, Europe, North America, and South America. Patients aged 18 years or older with locally advanced or metastatic renal cell carcinoma whose disease had progressed with immune checkpoint inhibitors were randomly assigned (1:1) to receive atezolizumab (1200 mg intravenously every 3 weeks) plus cabozantinib (60 mg orally once daily) or cabozantinib alone. Randomisation was done through an interactive voice-response or web-response system in permuted blocks (block size four) and stratified by International Metastatic Renal Cell Carcinoma Database Consortium risk group, line of previous immune checkpoint inhibitor therapy, and renal cell carcinoma histology. The two primary endpoints were progression-free survival per blinded independent central review and overall survival. The primary endpoints were assessed in the intention-to-treat population and safety was assessed in all patients who received at least one dose of study drug. The trial is registered with ClinicalTrials.gov, NCT04338269, and is closed to further accrual. FINDINGS: From July 28, 2020, to Dec 27, 2021, 692 patients were screened for eligibility, 522 of whom were assigned to receive atezolizumab-cabozantinib (263 patients) or cabozantinib (259 patients). 401 (77%) patients were male and 121 (23%) patients were female. At data cutoff (Jan 3, 2023), median follow-up was 15·2 months (IQR 10·7-19·3). 171 (65%) patients receiving atezolizumab-cabozantinib and 166 (64%) patients receiving cabozantinib had disease progression per central review or died. Median progression-free survival was 10·6 months (95% CI 9·8-12·3) with atezolizumab-cabozantinib and 10·8 months (10·0-12·5) with cabozantinib (hazard ratio [HR] for disease progression or death 1·03 [95% CI 0·83-1·28]; p=0·78). 89 (34%) patients in the atezolizumab-cabozantinib group and 87 (34%) in the cabozantinib group died. Median overall survival was 25·7 months (95% CI 21·5-not evaluable) with atezolizumab-cabozantinib and was not evaluable (21·1-not evaluable) with cabozantinib (HR for death 0·94 [95% CI 0·70-1·27]; p=0·69). Serious adverse events occurred in 126 (48%) of 262 patients treated with atezolizumab-cabozantinib and 84 (33%) of 256 patients treated with cabozantinib; adverse events leading to death occurred in 17 (6%) patients in the atezolizumab-cabozantinib group and nine (4%) in the cabozantinib group. INTERPRETATION: The addition of atezolizumab to cabozantinib did not improve clinical outcomes and led to increased toxicity. These results should discourage sequential use of immune checkpoint inhibitors in patients with renal cell carcinoma outside of clinical trials. FUNDING: F Hoffmann-La Roche and Exelixis.

Calculation of the ELF in the excited state with single-determinant methods.

Since its first definition, back in 1990, the electron localization function (ELF) has settled as one of the most commonly employed techniques to characterize the nature of the chemical bond in real space. Although most of the work using the ELF has focused on the study of ground-state chemical reactivity, a growing interest has blossomed to apply these techniques to the nearly unexplored realm of excited states and photochemistry. Since accurate excited electronic states usually require to account appropriately for electron correlation, the standard single-determinant ELF formulation cannot be blindly applied to them, and it is necessary to turn to correlated ELF descriptions based on the two-particle density matrix (2-PDM). The latter requires costly wavefunction approaches, unaffordable for most of the systems of current photochemical interest. Here, we compare the exact, 2-PDM-based ELF results with those of approximate 2-PDM reconstructions taken from reduced density matrix functional theory. Our approach is put to the test in a wide variety of representative scenarios, such as those provided by the lowest-lying excited electronic states of simple diatomic and polyatomic molecules. Altogether, our results suggest that even approximate 2-PDMs are able to accurately reproduce, on a general basis, the topological and statistical features of the ELF scalar field, paving the way toward the application of cost-effective methodologies, such as time-dependent-Hartree-Fock or time-dependent density functional theory, in the accurate description of the chemical bonding in excited states of photochemical relevance.

Precision medicine in the real-world setting. Clinical activity of talazoparib in a woman with hormone receptor-positive HER2-negative metastatic breast cancer with pathogenic mutation in somatic BRCA2.

Background: Next-generation sequencing (NGS) has proven to be a key implementation to understanding biological pathways involved in cancer. In daily practice, the identification of somatic and germline mutations has allowed physicians to gather relevant information to make therapeutic decisions and benefit patients. Importantly, somatic mutations provide targeted opportunities for treatment and reveal resistance mechanisms to understand patients' tumour evolution. Scanty data in clinical trials and in a real-world setting is available regarding the utility of poly(ADP-ribose) polymerase inhibitors in pathogenic or likely-pathogenic somatic breast cancer gene 1/2 (BRCA1/2) mutations and/or germline or somatic Homologous Recombination-Related Gene mutations in advanced breast cancer (ABC). Case report: Here we report a real-life case of a 47-year-old postmenopausal woman with hormone receptor-positive (HR-positive) Epidermal growth factor receptor 2 (HER2)-negative metastatic BC that had poor response to classic therapeutic strategies for HR+/HER2- ABC. At this point, the possibility of using NGS to guide the treatment was decided in a Molecular Tumour Board (MTB), and the patient had a major response to talazoparib targeting a non-germline BRCA2 mutation. Conclusion: Undoubtedly, more information regarding the cost effectiveness of NGS is needed to develop adequate reimbursement policies for this technology. It should be highlighted that the generalisation of MTBs and the implementation of molecular screening programmes are greatly needed in our region to gain more knowledge of somatic mutations implicated in the Hispanic and Latin-American population with BC diagnosis. Recently presented results of randomised studies may support the evaluation of somatic mutations with NGS to find targeted therapies for ABC patients.

A QCT View of the Interplay between Hydrogen Bonds and Aromaticity in Small CHON Derivatives.

The somewhat elusive concept of aromaticity plays an undeniable role in the chemical narrative, often being considered the principal cause of the unusual properties and stability exhibited by certain π skeletons. More recently, the concept of aromaticity has also been utilised to explain the modulation of the strength of non-covalent interactions (NCIs), such as hydrogen bonding (HB), paving the way towards the in silico prediction and design of tailor-made interacting systems. In this work, we try to shed light on this area by exploiting real space techniques, such as the Quantum Theory of Atoms in Molecules (QTAIM), the Interacting Quantum Atoms (IQA) approaches along with the electron delocalisation indicators Aromatic Fluctuation (FLU) and Multicenter (MCI) indices. The QTAIM and IQA methods have been proven capable of providing an unbiased and rigorous picture of NCIs in a wide variety of scenarios, whereas the FLU and MCI descriptors have been successfully exploited in the study of diverse aromatic and antiaromatic systems. We used a collection of simple archetypal examples of aromatic, non-aromatic and antiaromatic moieties within organic molecules to examine the changes in π delocalisation and aromaticity induced by the Aromaticity and Antiaromaticity Modulated Hydrogen Bonds (AMHB). We observed fundamental differences in the behaviour of systems containing the HB acceptor within and outside the ring, e.g., a destabilisation of the rings in the former as opposed to a stabilisation of the latter upon the formation of the corresponding molecular clusters. The results of this work provide a physically sound basis to rationalise the strengthening and weakening of AMHBs with respect to suitable non-cyclic non-aromatic references. We also found significant differences in the chemical bonding scenarios of aromatic and antiaromatic systems in the formation of AMHB. Altogether, our investigation provide novel, valuable insights about the complex mutual influence between hydrogen bonds and π systems.

Antioxidant, Antiproliferative and Anti-Enzymatic Capacities, Nutritional Analysis and UHPLC-PDA-MS Characterization of Ungurahui Palm Fruits (Oenocarpus bataua Mart) from the Peruvian Amazon.

Ungurahui, or Patawa, fruits are a popular fruit and medicinal food used in the Amazon. Here, we have studied nine natural populations of ungurahui from the Peruvian Amazon regarding their nutritional and biological activities, including metal composition, proximal analyses, cytotoxic, antioxidant and cholinesterase inhibition activities. Twenty-four compounds have been detected in these Peruvian natural populations by UHPLC-MS, including nine phenolic acids (peaks 1-6, 8, 9 and 11), four C-glycosyl flavonoids (peaks 12, 16, 17 and 18), two flavonols (peaks 7 and 10), one flavanol (peak 15), three anthocyanins (peaks 13, 14 and 22) and five resveratrol derivatives (peaks 19-21, 23 and 24). Sample 9, Tunaants, showed the highest DPPH clearing capacity regarding the content of Trolox equivalents (2208.79 µmol Trolox/g), but an ORAC test of the sample collected in San Lorenzo showed the highest clearing activity (1222.28 µmol Trolox/g) and the sample collected in Allpahuayo Mishana showed the most powerful ABTS (1803.72 µmol Trolox/g). The sample from Jenaro Herrera was the most powerful in AChe inhibition (IC50 2.05 ± 0.03 µg/mL), followed by the sample from Contamana (IC50 2.43 ± 0.12 µg/mL). In BChE inhibition, the sample from Palestina was the most active (4.42 ± 0.06 µg/mL), followed by samples from Tunaants and San Lorenzo. The differences among bioactivities can be related to the different growing conditions of the populations of ungurahui. The palm tree fruit proved to be a good source of natural antioxidants and dietary fatty acids, and their consumption represents an alternative for the prevention of neurodegenerative or related non-chronic transmittable diseases.

Partition of the electronic energy of the PM7 method via the interacting quantum atoms approach.

Partitions of the electronic energy such as that provided by the Interacting Quantum Atoms (IQA) approach have given valuable insights for numerous chemical systems and processes. Unfortunately, this kind of analysis may involve the integration of scalar fields over very irregular volumes, a condition which leads to a large and often prohibitive computational effort. These circumstances have limited the use of these energy partitions to systems comprising a few tens of atoms at most. On the other hand, semiempirical methods have proved useful in the study of systems of several thousands of atoms. Therefore, the goal of this work is to carry out partitions of the semiempirical method PM7 in compliance with the IQA approach. For this purpose, we computed one- and two-atomic energetic contributions whose sum equals the PM7 electronic energy. We illustrate how one might exploit the partition of electronic energies computed via the PM7 method by considering small organic and inorganic molecules and the energetics of individual hydrogen bond interactions within several water clusters which include (H2O)30, (H2O)50 and (H2O)100. We also considered the solvation of the amphiphilic caprylate anion to exemplify how to exploit the energy partition proposed in this paper. Overall, this investigation shows how the approach put forward herein might give further insights of the interactions occurring within complex systems in physical and biological chemistry.

Desmoid tumour in an inguinal hernia in a patient with a previous diagnosis of melanoma.

A 68-year-old man, without a family history of cancer, was treated for primary cutaneous melanoma of the scalp. Two years later, a right lateral cervical lymph recurrence was observed and he was treated with lymphadenectomy and adjuvant nivolumab for 1 year. Four years from the initial melanoma diagnosis, a computer tomography scan showed a solid nodular lesion of 26 × 40 × 75 mm inside the previously known inguinoscrotal hernia. A new recurrence of melanoma was the most probable diagnosis and a right inguinal hernioplasty was performed. Notably, the histopathological examination revealed a mesenteric fibromatosis with the typical immunohistochemical pattern (strong nuclear staining of ß-catenin). Interestingly, this represents the first case of a patient with a mesenteric desmoid tumour presenting as an inguinal hernia masking a cutaneous melanoma recurrence.

NNAIMQ: A neural network model for predicting QTAIM charges.

Atomic charges provide crucial information about the electronic structure of a molecular system. Among the different definitions of these descriptors, the one proposed by the Quantum Theory of Atoms in Molecules (QTAIM) is particularly attractive given its invariance against orbital transformations although the computational cost associated with their calculation limits its applicability. Given that Machine Learning (ML) techniques have been shown to accelerate orders of magnitude the computation of a number of quantum mechanical observables, in this work, we take advantage of ML knowledge to develop an intuitive and fast neural network model (NNAIMQ) for the computation of QTAIM charges for C, H, O, and N atoms with high accuracy. Our model has been trained and tested using data from quantum chemical calculations in more than 45 000 molecular environments of the near-equilibrium CHON chemical space. The reliability and performance of NNAIMQ have been analyzed in a variety of scenarios, from equilibrium geometries to molecular dynamics simulations. Altogether, NNAIMQ yields remarkably small prediction errors, well below the 0.03 electron limit in the general case, while accelerating the calculation of QTAIM charges by several orders of magnitude.

Hipertrofia y resistencia a la insulina en un modelo in vitro de obesidad y DMT2 inducida por alta glucosa e insulina / Hypertrophy and insulin resistance in an in vitro model of obesity and T2DM induced by high glucose and insulin

Resumen Introducción: La obesidad es considerada un factor de riesgo para desarrollar resistencia a la insulina. La expansión del tejido adiposo se ha relacionado con el aumento de la producción de citoquinas proinflamatorias que, junto a los ácidos grasos son responsables, al menos en parte, del desarrollo de la resistencia a la insulina y esta a su vez, facilita el desarrollo de diabetes mellitus tipo 2 (DMT2). Objetivo: El propósito de este estudio fue realizar y caracterizar un modelo in vitro de obesidad empleando concentraciones altas de glucosa e insulina en una línea de células adipocitarias. Métodos: Se indujo modelo de hipertrofia celular realizando un estímulo en adipocitos maduros con una concentración de glucosa (450 mg/dL) e insulina (106 pmol/L) (modelo HGHI). Tras estímulo se realizaron ensayos de viabilidad celular, diámetro celular, movilización de lípidos y marcadores de señalización de insulina. Resultados: Tras el tratamiento con HGHI, se evidencia hipertrofia adipocitaria, incremento en la acumulación de lípidos, reducción de la ruptura de éstos, alteración de la señalización de insulina y tendencia a modificación de proteínas de marcadores de estrés de retículo y estrés oxidativo. Conclusión: Estos resultados demuestran la validez del modelo in vitro que simula al menos en parte la obesidad asociada a insulino resistencia, siendo una herramienta útil para estudiar los mecanismos de susceptibilidad a obesidad y resistencia a la insulina inducida in vitro con diferentes moléculas.

Abstract Introduction: Obesity is considered a risk factor for developing insulin resistance. The increase in adipose tissue has been related to the increase in the production of pro-inflammatory cytokines, which together with fatty acids are responsible, at least in part, for the development of insulin resistance, and this in turn facilitates the development of T2 diabetes mellitus type 2 (DMT2). Objective: The purpose of this study was to perform and characterize an in vitro model of obesity using high concentrations of glucose and insulin on an adipocyte cell line. Methods: A cell hypertrophy model was induced by stimulating mature adipocytes with a concentration of glucose (450 mg/dL) and insulin (106 pmol/L) (HGHI model). The cell viability, cell diameter, lipid mobilization and insulin signalling markers were evaluated. Results: After HGHI treatment, adipocytes show hypertrophy, increase in lipid accumulation, reduction of lipid breakdown, alteration of insulin signalling, a tendency to modify proteins of reticulum stress markers and, oxidative stress. Conclusion: These results demonstrate a new in vitro model that simulates, at least in part, obesity associated with insulin resistance being a useful tool to study the mechanisms of susceptibility to obesity and insulin resistance induced in vitro by different molecules.

Experience of bipolar androgen therapy (BAT) in Argentinian oncology centres.

Background: Previous studies with bipolar androgen therapy (BAT) have shown clinical activity in metastatic Castration Resistant Prostate Cancer (mCRPC) as well as the potential to re-sensitise prostate cancer cells to prior androgen receptor-targeted agents. None of these studies had tested BAT after chemotherapy. In this study, we gathered real-world evidence from three centres in Argentina where BAT is being used in castration-resistant prostate cancer (CRPC), not only prior to chemotherapy but also after several lines of treatment. Materials and methods: This retro-prospective nonrandomised multicentre cohort study included patients with mCRPC, who received BAT in different scenarios defined by the treating physician at three centres in Argentina. Results: A total of 21 asymptomatic patients with mCRPC were included. There was a median of two lines before BAT, with nine patients (42.8%) receiving three or more lines, and 13 patients (61.9%) receiving chemotherapy previously. Previous lines included next-generation hormonal agents (NHA) in 100% (abiraterone 33.3% and enzalutamide 71.4%), chemotherapy in 61.9%, Radium-223 in 47.6% and others in 4.8%. The progression free survival (PFS) after BAT was 3.5 months (95% CI: 3.06-7.97). PSA50 response rate (RR) was 28.5% and the overall RR was 14.3%. Of the 17 patients who had disease progression, 9 had a rechallenge to NHA, achieving a 55% RR, 6 received other treatment (chemotherapy in 5 and 177Lu-PSMA in 1) with a 66% RR and 2 best supportive care. The PFS2, calculated after the initiation of BAT in the 15 patients who received further therapy, was 7.93 months (95% CI: 6.73-NR). Treatment was overall well tolerated, with only two patients requiring hospitalisation and treatment interruption due to worsening pain. Conclusion: To the authors' knowledge, this is the first publication of BAT in later lines of therapy in mCRPC. BAT showed clinical activity in this scenario. Our data supports that BAT may play a role in CRPC re-sensitisation after multiple treatment lines.

Plasma Metabolome Profiling by High-Performance Chemical Isotope-Labelling LC-MS after Acute and Medium-Term Intervention with Golden Berry Fruit (Physalis peruviana L.), Confirming Its Impact on Insulin-Associated Signaling Pathways.

PURPOSE: Golden berry (Physalis peruviana L.) is an exotic fruit exported from Colombia to different countries around the world. A review of the literature tends to demonstrate a hypoglycaemic effect with an improvement in insulin sensitivity after oral ingestion of fruit extracts in animal models. However, little is known about their potential effects in humans, and very little is known about the mechanisms involved. This study aimed at identifying discriminant metabolites after acute and chronic intake of golden berry. METHOD: An untargeted metabolomics strategy using high-performance chemical isotope-labelling LC-MS was applied. The blood samples of eighteen healthy adults were analysed at baseline, at 6 h after the intake of 250 g of golden berry (acute intervention), and after 19 days of daily consumption of 150 g (medium-term intervention). RESULTS: Forty-nine and 36 discriminant metabolites were identified with high confidence, respectively, after the acute and medium-term interventions. Taking into account up- and downregulated metabolites, three biological networks mainly involving insulin, epidermal growth factor receptor (EGFR), and the phosphatidylinositol 3-kinase pathway (PI3K/Akt/mTOR) were identified. CONCLUSIONS: The biological intracellular networks identified are highly interconnected with the insulin signalling pathway, showing that berry intake may be associated with insulin signalling, which could reduce some risk factors related to metabolic syndrome. Primary registry of WHO.

Interacting Quantum Atoms Analysis of the Reaction Force: A Tool to Analyze Driving and Retarding Forces in Chemical Reactions.

The analysis of the reaction force and its topology has provided a wide range of fruitful concepts in the theory of chemical reactivity over the years, allowing to identify chemically relevant regions along a reaction profile. The reaction force (RF), a projection of the Hellmann-Feynman forces acting on the nuclei of a molecular system onto a suitable reaction coordinate, is partitioned using the interacting quantum atoms approach (IQA). The exact IQA molecular energy decomposition is now shown to open a unique window to identify and quantify the chemical entities that drive or retard a chemical reaction. The RF/IQA coupling offers an extraordinarily detailed view of the type and number of elementary processes that take reactants into products, as tested on two sets of simple reactions.

On the Relationship between Hydrogen Bond Strength and the Formation Energy in Resonance-Assisted Hydrogen Bonds.

Resonance-assisted hydrogen bonds (RAHB) are intramolecular contacts that are characterised by being particularly energetic. This fact is often attributed to the delocalisation of π electrons in the system. In the present article, we assess this thesis via the examination of the effect of electron-withdrawing and electron-donating groups, namely -F, -Cl, -Br, -CF3, -N(CH3)2, -OCH3, -NHCOCH3 on the strength of the RAHB in malondialdehyde by using the Quantum Theory of Atoms in Molecules (QTAIM) and the Interacting Quantum Atoms (IQA) analyses. We show that the influence of the investigated substituents on the strength of the investigated RAHBs depends largely on its position within the π skeleton. We also examine the relationship between the formation energy of the RAHB and the hydrogen bond interaction energy as defined by the IQA method of wave function analysis. We demonstrate that these substituents can have different effects on the formation and interaction energies, casting doubts regarding the use of different parameters as indicators of the RAHB formation energies. Finally, we also demonstrate how the energy density can offer an estimation of the IQA interaction energy, and therefore of the HB strength, at a reduced computational cost for these important interactions. We expected that the results reported herein will provide a valuable understanding in the assessment of the energetics of RAHB and other intramolecular interactions.