118 research outputs found
Three-Component Reaction of 3-Arylidene-3H-Indolium Salts, Isocyanides, and Alcohols
A novel isocyanide-based multicomponent synthesis of alkyl aryl(indol-3-yl)acetimidates has been established. Starting from aryl(indol-3-yl)methylium tetrafluoroborates, aromatic isocyanides and alcohols, the imidates were obtained in moderate to very good yields. Consecutive four-component synthesis of the above mentioned imidates from N-alkylindoles, aromatic aldehydes, aromatic isocyanides and alcohols was also proposed. In addition, it was shown that in the presence of water, aryl(indol-3-yl)methylium tetrafluoroborates reacted with isocyanides to furnish aryl(indol-3-yl)acetamides
Controlled doebner-, groebke- and ugi-type multicomponent reactions involving aminoazoles with further in vitro antibacterial and antiviral activity evaluation studies of the reaction products
A Concise Microwave-Assisted Synthesis of 2-Aminoimidazole Marine Sponge Alkaloids of the Isonaamines Series
Treatment and Survival of Elderly Patients with Stage I–II Pancreatic Cancer: A Report of the EURECCA Pancreas Consortium
Background: Elderly patients with pancreatic cancer are underrepresented in clinical trials, resulting in a lack of evidence. Objective: The aim of this study was to compare treatment and overall survival (OS) of patients aged ≥ 70 years with stage I–II pancreatic cancer in the EURECCA Pancreas Consortium. Methods: This was an observational cohort study of the Belgian (BE), Dutch (NL), and Norwegian (NOR) cancer registries. The primary outcome was OS, while secondary outcomes were resection, 90-day mortality after resection, and (neo)adjuvant and palliative chemotherapy. Results: In total, 3624 patients were included. Resection (BE: 50.2%; NL: 36.2%; NOR: 41.3%; p < 0.001), use of (neo)adjuvant chemotherapy (BE: 55.9%; NL: 41.9%; NOR: 13.8%; p < 0.001), palliative chemotherapy (BE: 39.5%; NL: 6.0%; NOR: 15.7%; p < 0.001), and 90-day mortality differed (BE: 11.7%; NL: 8.0%; NOR: 5.2%; p < 0.001). Furthermore, median OS in patients with (BE: 17.4; NL: 15.9; NOR: 25.4 months; p < 0.001) and without resection (BE: 7.0; NL: 3.9; NOR: 6.5 months; p < 0.001) also differed. Conclusions: Differences were observed in treatment and OS in patients aged ≥ 70 years with stage I–II pancreatic cancer, between the population-based cancer registries. Future studies should focus on selection criteria for (non)surgical treatment in older patients so that clinicians can tailor treatment
Doebner-type pyrazolopyridine carboxylic acids in an Ugi four-component reaction
Substituted 1H-pyrazolo[3,4-b]pyridine-4- and 1H-pyrazolo[3,4-b]pyridine-6-carboxamides have been synthetized through a Doebner–Ugi multicomponent reaction sequence in a convergent and versatile manner using diversity generation strategies: combination of two multicomponent reactions and conditions-based divergence strategy. The target products contain as pharmacophores pyrazolopyridine and peptidomimetic moieties with four points of diversity introduced from readily available starting materials including scaffold diversity. A small focused compound library of 23 Ugi products was created and screened for antibacterial activity
Differences in Treatment and Outcome of Pancreatic Adenocarcinoma Stage I and II in the EURECCA Pancreas Consortium
Surgical oncolog
A classification prognostic score to predict OS in stage IV well-differentiated neuroendocrine tumors
No validated prognostic tool is available for predicting overall survival (OS) of patients with well-differentiated neuroendocrine tumors (WDNETs). This study, conducted in three independent cohorts of patients from five different European countries, aimed to develop and validate a classification prognostic score for OS in patients with stage IV WDNETs. We retrospectively collected data on 1387 patients: (i) patients treated at the Istituto Nazionale Tumori (Milan, Italy; n = 515); (ii) European cohort of rare NET patients included in the European RARECAREnet database (n = 457); (iii) Italian multicentric cohort of pancreatic NET (pNETs) patients treated at 24 Italian institutions (n = 415). The score was developed using data from patients included in cohort (i) (training set); external validation was performed by applying the score to the data of the two independent cohorts (ii) and (iii) evaluating both calibration and discriminative ability (Harrell C statistic). We used data on age, primary tumor site, metastasis (synchronous vs metachronous), Ki-67, functional status and primary surgery to build the score, which was developed for classifying patients into three groups with differential 10-year OS: (I) favorable risk group: 10-year OS >= 70%; (II) intermediate risk group: 30% <= 10-year OS < 70%; (III) poor risk group: 10-year OS < 30%. The Harrell C statistic was 0.661 in the training set, and 0.626 and 0.601 in the RARECAREnet and Italian multicentric validation sets, respectively. In conclusion, based on the analysis of three 'field-practice' cohorts collected in different settings, we defined and validated a prognostic score to classify patients into three groups with different long-term prognoses
How real-world data can facilitate the development of precision medicine treatment in psychiatry
Precision medicine has the ambition to improve treatment response and clinical outcomes through patient stratification, and holds great potential in mental disorders. However, several important factors are needed to transform current practice into a “precision psychiatry” framework. Most important are (1) the generation of accessible large real-world training and test data including genomic data integrated from multiple sources, (2) the development and validation of advanced analytical tools for stratification and prediction, and (3) the development of clinically useful management platforms for patient monitoring that can be integrated into healthcare systems in real-life settings. This narrative review summarizes strategies for obtaining the key elements – well-powered samples from large biobanks, integrated with electronic health records and health registry data using novel artificial intelligence algorithms – to predict outcomes in severe mental disorders and translate these models into clinical management and treatment approaches. Key elements are massive mental health data and novel artificial intelligence algorithms. For the clinical translation of these strategies, we discuss a precision medicine platform for improved management of mental disorders. We include use cases to illustrate how precision medicine interventions could be brought into psychiatry to improve the clinical outcomes of mental disorders
Synthesis of 6a-Carba-alpha- and 6a-Carba-beta-d-fructopyranose from an enzymatically resolved cyclohexanetriol building block.
Temperature switchable Brønsted acid-promoted selective syntheses of spiro-indolenines and quinolines
A high-yielding, temperature switchable divergent approach towards the synthesis of either spiro-indolenines or quinolines is described, starting from easily available indolyl ynones. The application of TFA at rt promotes the dearomatization of the indole, resulting in the formation of the spiro-indolenine, while at higher temperature, rearrangement results in the formation of the quinoline. © The Royal Society of Chemistry 2017
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