Notes

Morphology-Dependent Defined Acoustic Phonon Shake as well as Phonon Beat involving Dans Nanopolyhedrons.
Pre-clinically, we demonstrated that spautin-1 significantly attenuated tumour growth in a cell line-derived xenograft mouse model, and its anti-tumour effect was further enhanced by cotreatment with cisplatin. Taken together, our study revealed a novel molecular mechanism of spautin-1 effecting in melanoma and identified a potential therapeutic strategy in treatment of melanoma patients. © 2020 The Authors. Journal of Cellular and Molecular Medicine published by Foundation for Cellular and Molecular Medicine and John Wiley & Sons Ltd.Cranial radiation therapy (CRT) remains to be the foundation stone of the management of brain metastases in non-small cell lung cancer (NSCLC). Nevertheless, the care of NSCLC, recently, has been remarkably reshaped by the immune checkpoint inhibitors (ICIs), such as programmed death protein-1 and programmed death ligand-1 inhibitors, which even showed some efficacy in brain metastases. Furthermore, radiotherapy, traditionally regarded as a therapy via localized cytotoxicity, recently was reported to trigger a systemic immune response, thus probably enhancing the antitumor effect of ICIs. Preliminary datasets confirmed that the combination of these two therapies seemed superior to either monotherapy in NSCLC patients with brain metastases with improved efficacy and comparable toxicity. In this review, we started with discussing the rationale for the combination of CRT and ICIs, then outlined the clinical evidence supporting the high safety of this combined therapy, and finally made a preliminary conclusion on the safety of the combination of CRT and ICIs. © 2020 John Wiley & Sons Australia, Ltd.High-throughput and streamlined workflows are essential in clinical proteomics for standardized processing of samples from a variety of sources, including fresh-frozen tissue, FFPE tissue, or blood. To reach this goal, we have implemented single-pot solid-phase-enhanced sample preparation (SP3) on a liquid handling robot for automated processing (autoSP3) of tissue lysates in a 96-well format. AutoSP3 performs unbiased protein purification and digestion, and delivers peptides that can be directly analyzed by LCMS, thereby significantly reducing hands-on time, reducing variability in protein quantification, and improving longitudinal reproducibility. We demonstrate the distinguishing ability of autoSP3 to process low-input samples, reproducibly quantifying 500-1,000 proteins from 100 to 1,000 cells. Furthermore, we applied this approach to a cohort of clinical FFPE pulmonary adenocarcinoma (ADC) samples and recapitulated their separation into known histological growth patterns. Finally, we integrated autoSP3 with AFA ultrasonication for the automated end-to-end sample preparation and LCMS analysis of 96 intact tissue samples. Collectively, this constitutes a generic, scalable, and cost-effective workflow with minimal manual intervention, enabling reproducible tissue proteomics in a broad range of clinical and non-clinical applications. TBK1/IKKε-IN-5 IKK inhibitor © 2020 The Authors. Published under the terms of the CC BY 4.0 license.Dynamic mechanistic models, that is, those that can simulate behavior over time courses, are a cornerstone of molecular systems biology. They are being used to model molecular mechanisms with varying degrees of granularity-from elementary reactions to causal links-and to describe these systems by various dynamic mathematical frameworks, such as Boolean networks or systems of differential equations. The models can be based exclusively on experimental data, or on prior knowledge of the underlying biological processes. The latter are typically generic, but can be adapted to a certain context, such as a particular cell type, after training with context-specific data. Dynamic mechanistic models that are based on biological knowledge have great potential for modeling specific systems, because they require less data for training to provide biological insight in particular into causal mechanisms, and to extrapolate to scenarios that are outside the conditions they have been trained on. © 2020 The Authors. Published under the terms of the CC BY 4.0 license.Colorectal cancer is the third most common cancer in the United States. Established risk factors include older age, unhealthy lifestyle (high consumptions of red/preserved meat, low consumptions of fruit and vegetables, smoking, high alcohol consumption, and lack of physical activities), personal and family medical histories and low socioeconomic status (low insurance coverage, education and income). Asian American subgroups vary significantly in terms of culture, socioeconomic status, and health behaviors, yet most registries and researches aggregate all Asian Americans as one group. In this review, we summarized and compared colorectal cancer incidence among different Asian American subgroups, and to explore the reasons behind the heterogeneity. Based on limited literatures, we found that Japanese Americans have the highest colorectal cancer incidence among all Asian Americans. The incidence is decreasing among most Asian American subgroups except for Korean Americans. Such heterogeneity is influenced by lifestyle factors related to the country of origin and the United States, as well as colorectal cancer screening. © 2020 John Wiley & Sons Australia, Ltd.AIM To evaluate predictive factors which associated with oncological outcomes to first-line axitinib for metastatic renal cell carcinoma (mRCC). METHODS A retrospective chart review was conducted patients who had been treated with axitinib as first-line therapy for the treatment of mRCC from September 2013 to February 2018. Axitinib was given by single daily oral administration at a dose of 10 mg, which was reduced according to adverse events (AEs). We investigated progression-free survival (PFS), overall survival (OS), objective response rate (ORR) and AEs. RESULTS Thirty-eight mRCC patients were enrolled. The median follow-up duration of axitinib treatment was 11.3 months (range = 1.0-56.9). ORR was 28.9%. Median PFS and OS was 12.8, and 17.9 months, respectively. In univariate analysis, baseline lactate dehydrogenase (LDH), neutrophil, corrected calcium (Ca), platelets (Plt) and time from diagnosis were selected as potential predictive factors. Multivariate Cox's proportional hazards model analysis showed that the number of risk factors were associated with PFS (P = 0.
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