Adults above 65 years of intention to use homecare hospice and a study on the factors influencing the perception of hospice·palliative care service.

BACKGROUND: This study is a descriptive correlation survey conducted to understand the effect of attitudes toward death, hospice palliative care perception, and knowledge on homecare hospice use intention for adult men and women aged 65 or older ones. AIM: This study identified factors affecting the intention to use homecare hospice and the perception of hospice·palliative care for adults aged 65 or older. METHODS: Researchers used tools which were intention to use homecare hospice, the hospice palliative care knowledge, death orientation, hospice palliative perception. RESULTS: The higher the perception of hospice·palliative care, for men than women, then they are the higher the willingness to use homecare hospice. In addition, the factors influencing the perception of hospice·palliative care of subjects who are willing to use homecare hospice were education and hospice·palliative care knowledge. CONCLUSION: By improving hospice·palliative care perception by acquiring hospice·palliative care knowledge, people will choose the place where they want to die. In addition, once there is an increasing demand for it, nations and Institutions can help to set up support homecare hospice. For this, campaigns, and education to provide knowledge and improve perception of hospice·palliative care must be continued at the socio-cultural level.

Multiphase Drug Distribution and Exchange in Oil-in-Water Nanoemulsion Revealed by High-Resolution 19F qNMR.

An oil-in-water (o/w) nanoemulsion (NE), composed of oil globules, stabilized by a surfactant, and dispersed in an aqueous phase, is increasingly developed in complex drug formulation. Kinetically stable NEs are used to formulate hydrophobic drugs and typically provide higher dosage strengths and better content uniformity. However, little is known accurately about drug distribution in its multiphase solution, especially for the possible drug presence in the surfactant (s) phase, the interface layer between the dispersed oil (o) and the continuous water (w) phases. Here, high-resolution 19F quantitative NMR spectroscopy was applied directly and noninvasively on an o/w NE drug product containing difluprednate (DFPN). The well-resolved 19F peaks of DFPN depended on the shielding molecules in each phase, which revealed mass-balanced DFPN distribution in multiple phases of (w), (s), and (o) of NE globules at a quantity of 1.8 ± 0.1, 35 ± 2, and 59 ± 3% per labeled content, respectively. Furthermore, the dilution-dependent 19F peak line broadening and shift suggested a millisecond dynamic exchange between the NE and the less-noticed smaller but thermodynamically stable microemulsion (ME) globules in NE solution. The high-resolution NMR result revealed that the drug availability could be quickly achieved using an o/w NE formulation because of the drug multiphase distribution and the ME-assisted fast drug exchange among globules.

mTORC1 promotes cell growth via m6A-dependent mRNA degradation.

Dysregulated mTORC1 signaling alters a wide range of cellular processes, contributing to metabolic disorders and cancer. Defining the molecular details of downstream effectors is thus critical for uncovering selective therapeutic targets. We report that mTORC1 and its downstream kinase S6K enhance eIF4A/4B-mediated translation of Wilms' tumor 1-associated protein (WTAP), an adaptor for the N6-methyladenosine (m6A) RNA methyltransferase complex. This regulation is mediated by 5' UTR of WTAP mRNA that is targeted by eIF4A/4B. Single-nucleotide-resolution m6A mapping revealed that MAX dimerization protein 2 (MXD2) mRNA contains m6A, and increased m6A modification enhances its degradation. WTAP induces cMyc-MAX association by suppressing MXD2 expression, which promotes cMyc transcriptional activity and proliferation of mTORC1-activated cancer cells. These results elucidate a mechanism whereby mTORC1 stimulates oncogenic signaling via m6A RNA modification and illuminates the WTAP-MXD2-cMyc axis as a potential therapeutic target for mTORC1-driven cancers.

Computational studies of anaplastic lymphoma kinase mutations reveal common mechanisms of oncogenic activation.

Kinases play important roles in diverse cellular processes, including signaling, differentiation, proliferation, and metabolism. They are frequently mutated in cancer and are the targets of a large number of specific inhibitors. Surveys of cancer genome atlases reveal that kinase domains, which consist of 300 amino acids, can harbor numerous (150 to 200) single-point mutations across different patients in the same disease. This preponderance of mutations-some activating, some silent-in a known target protein make clinical decisions for enrolling patients in drug trials challenging since the relevance of the target and its drug sensitivity often depend on the mutational status in a given patient. We show through computational studies using molecular dynamics (MD) as well as enhanced sampling simulations that the experimentally determined activation status of a mutated kinase can be predicted effectively by identifying a hydrogen bonding fingerprint in the activation loop and the αC-helix regions, despite the fact that mutations in cancer patients occur throughout the kinase domain. In our study, we find that the predictive power of MD is superior to a purely data-driven machine learning model involving biochemical features that we implemented, even though MD utilized far fewer features (in fact, just one) in an unsupervised setting. Moreover, the MD results provide key insights into convergent mechanisms of activation, primarily involving differential stabilization of a hydrogen bond network that engages residues of the activation loop and αC-helix in the active-like conformation (in >70% of the mutations studied, regardless of the location of the mutation).

A study on depression among adolescents with asthma in South Korea using the 15th Korea Youth Risk Behaviour Web-Based Survey.

PURPOSE: This study investigated the factors that influence depression in adolescents diagnosed with asthma in South Korea, providing basic data supporting efforts to improve adolescents' mental health. METHODS: Multiple regression analysis was conducted on 4,020 subjects who had been diagnosed with lifelong asthma among the 57,303 respondents to the 15th Korea Youth Risk Behaviour Web-Based Survey from 2019. RESULTS: The participants were more likely to have depression if they were female, in middle school, their academic achievement was poor, they were drinkers or smokers, if they felt a very high amount of stress, and if they experienced very inadequate recovery from fatigue. Adolescents with asthma were 9.00 times more likely to experience depression when they felt a very high amount of stress (95% confidence interval [CI]=5.51-14.69, p<.001) than when they felt no stress. CONCLUSION: Given these factors, measures to improve the mental health of adolescents should be developed and expanded, especially to decrease their stress levels. A separate program that is different from the school's regular health curriculum should be developed to manage the stress levels of adolescents with asthma, such as an after-school program or a program conducted at a local community centre.

A drug discovery platform to identify compounds that inhibit EGFR triple mutants.

Receptor tyrosine kinases (RTKs) are transmembrane receptors of great clinical interest due to their role in disease. Historically, therapeutics targeting RTKs have been identified using in vitro kinase assays. Due to frequent development of drug resistance, however, there is a need to identify more diverse compounds that inhibit mutated but not wild-type RTKs. Here, we describe MaMTH-DS (mammalian membrane two-hybrid drug screening), a live-cell platform for high-throughput identification of small molecules targeting functional protein-protein interactions of RTKs. We applied MaMTH-DS to an oncogenic epidermal growth factor receptor (EGFR) mutant resistant to the latest generation of clinically approved tyrosine kinase inhibitors (TKIs). We identified four mutant-specific compounds, including two that would not have been detected by conventional in vitro kinase assays. One of these targets mutant EGFR via a new mechanism of action, distinct from classical TKI inhibition. Our results demonstrate how MaMTH-DS is a powerful complement to traditional drug screening approaches.

The EGFR Exon 19 Mutant L747-A750>P Exhibits Distinct Sensitivity to Tyrosine Kinase Inhibitors in Lung Adenocarcinoma.

PURPOSE: EGFR exon 19 deletion (Ex19Del) mutations account for approximately 60% of lung cancer-associated EGFR mutations and include a heterogeneous group of mutations. Although they are associated with benefit from tyrosine kinase inhibitors (TKI), the relative inhibitor sensitivity of individual Ex19Del mutations is unknown.Experimental Design: We studied the TKI sensitivity and structural features of common Ex19Del mutations and the consequences for patient outcomes on TKI treatment. RESULTS: We found that the L747-A750>P mutation, which represents about 4% of all Ex19Del mutations, displays unique inhibitor selectivity. L747-A750>P differs from other Ex19Del mutations in not being suppressed completely by erlotinib or osimertinib, yet is completely inhibited by low doses of afatinib. The HCC4006 cell line (with the L747-A750>P mutation) exhibited increased sensitivity to afatinib over erlotinib and osimertinib, and computational modeling suggests explanations for this sensitivity pattern. Clinically, patients with EGFR L747-A750>P mutant tumors showed inferior outcomes when treated with erlotinib than patients with E746-A750 mutant tumors. CONCLUSIONS: These results highlight important differences between specific Ex19Del mutations that may be relevant for optimizing TKI choice for patients.

Computational algorithms for in silico profiling of activating mutations in cancer.

Methods to catalog and computationally assess the mutational landscape of proteins in human cancers are desirable. One approach is to adapt evolutionary or data-driven methods developed for predicting whether a single-nucleotide polymorphism (SNP) is deleterious to protein structure and function. In cases where understanding the mechanism of protein activation and regulation is desired, an alternative approach is to employ structure-based computational approaches to predict the effects of point mutations. Through a case study of mutations in kinase domains of three proteins, namely, the anaplastic lymphoma kinase (ALK) in pediatric neuroblastoma patients, serine/threonine-protein kinase B-Raf (BRAF) in melanoma patients, and erythroblastic oncogene B 2 (ErbB2 or HER2) in breast cancer patients, we compare the two approaches above. We find that the structure-based method is most appropriate for developing a binary classification of several different mutations, especially infrequently occurring ones, concerning the activation status of the given target protein. This approach is especially useful if the effects of mutations on the interactions of inhibitors with the target proteins are being sought. However, many patients will present with mutations spread across different target proteins, making structure-based models computationally demanding to implement and execute. In this situation, data-driven methods-including those based on machine learning techniques and evolutionary methods-are most appropriate for recognizing and illuminate mutational patterns. We show, however, that, in the present status of the field, the two methods have very different accuracies and confidence values, and hence, the optimal choice of their deployment is context-dependent.

Airway Management Protocol After Anterior Cervical Spine Surgery: Analysis of the Results of Risk Factors Associated With Airway Complication.

STUDY DESIGN: Retrospective comparative cohort analysis. OBJECTIVE: To evaluate the effect of postoperative airway management protocol (ASAN Extubation Protocol, AEP) on incidence of airway complications for patients undergoing anterior cervical spine surgery (ACSS). BACKGROUND: Postoperative airway compromise remains crucial for patients undergoing ACSS. Despite the potential severity of these complications, the data in the published literature addressing this issue is sparse. METHODS: A retrospective cohort study was performed regarding airway complications (postoperative airway edema requiring unplanned reintubation or tracheostomy) between groups of patients undergoing ACSS before and after applying our standardized protocol (AEP) for postoperative extubation. The AEP was developed based on 5 clinical risk factors reported having relation to airway complication. Postoperative patients with any oneor more risk factors were kept intubated for at least overnight and extubation was conducted according to the amount of prevertebral soft tissue swelling. RESULTS: A total of 538 ACSS patients were identified from 2008 to 2016. The nonprotocol group (before protocol application, 275 patients) and the Protocol group (after protocol, 263 patients) were compared; airway complication rates were significantly different between two groups (nonprotocol: 3.64% (10/275) vs. PROTOCOL: 0.76% (2/263), P = 0.024). The possible factors that may increase airway complication include operative indications (P = 0.002), trauma (P = 0.000), medical comorbidity risk (P = 0.011), combined anterior and posterior surgery (P = 0.002), and operation time longer than 5 hours (P = 0.045). In multivariate analysis, medical comorbidity risk, trauma, and airway protocol adoption were significant factors. AEP reduced the airway complication rate by odds ratio 0.125 (P = 0.013). CONCLUSION: Postoperative airway complication is not very common after ACSS. AEP contributed to reduce the incidence of airway complications. The potentially life-threatening event of loss of airway patency, even though it is a rare complication, should be cautiously analyzed with identification of risk factors before the surgery. LEVEL OF EVIDENCE: 2.

Overcoming resistance to HER2 inhibitors through state-specific kinase binding.

The heterodimeric receptor tyrosine kinase complex formed by HER2 and HER3 can act as an oncogenic driver and is also responsible for rescuing a large number of cancers from a diverse set of targeted therapies. Inhibitors of these proteins, particularly HER2, have dramatically improved patient outcomes in the clinic, but recent studies have demonstrated that stimulating the heterodimeric complex, either via growth factors or by increasing the concentrations of HER2 and HER3 at the membrane, significantly diminishes the activity of the inhibitors. To identify an inhibitor of the active HER2-HER3 oncogenic complex, we developed a panel of Ba/F3 cell lines suitable for ultra-high-throughput screening. Medicinal chemistry on the hit scaffold resulted in a previously uncharacterized inhibitor that acts through preferential inhibition of the active state of HER2 and, as a result, is able to overcome cellular mechanisms of resistance such as growth factors or mutations that stabilize the active form of HER2.

Deletion Mutations Keep Kinase Inhibitors in the Loop.

Effective clinical application of conformationally selective kinase inhibitors requires tailoring drug choice to the tumor's activating mutation(s). In this issue of Cancer Cell, Foster et al. (2016) describe how activating deletions in BRAF, EGFR, and HER2 cause primary resistance to common inhibitors, suggesting strategies for improved inhibitor selection.

The ALK/ROS1 Inhibitor PF-06463922 Overcomes Primary Resistance to Crizotinib in ALK-Driven Neuroblastoma.

UNLABELLED: Neuroblastomas harboring activating point mutations in anaplastic lymphoma kinase (ALK) are differentially sensitive to the ALK inhibitor crizotinib, with certain mutations conferring intrinsic crizotinib resistance. To overcome this clinical obstacle, our goal was to identify inhibitors with improved potency that can target intractable ALK variants such as F1174L. We find that PF-06463922 has high potency across ALK variants and inhibits ALK more effectively than crizotinib in vitro. Most importantly, PF-06463922 induces complete tumor regression in both crizotinib-resistant and crizotinib-sensitive xenograft mouse models of neuroblastoma, as well as in patient-derived xenografts harboring the crizotinib-resistant F1174L or F1245C mutations. These studies demonstrate that PF-06463922 has the potential to overcome crizotinib resistance and exerts unprecedented activity as a single targeted agent against F1174L and F1245C ALK-mutated xenograft tumors, while also inducing responses in an R1275Q xenograft model. Taken together, these results provide the rationale to move PF-06463922 into clinical trials for treatment of patients with ALK-mutated neuroblastoma. SIGNIFICANCE: The next-generation ALK/ROS1 inhibitor PF-06463922 exerts unparalleled activity in ALK-driven neuroblastoma models with primary crizotinib resistance. Our biochemical and in vivo data provide the preclinical rationale for fast-tracking the development of this agent in children with relapsed/refractory ALK-mutant neuroblastoma.

ALK mutations confer differential oncogenic activation and sensitivity to ALK inhibition therapy in neuroblastoma.

Genetic studies have established anaplastic lymphoma kinase (ALK), a cell surface receptor tyrosine kinase, as a tractable molecular target in neuroblastoma. We describe comprehensive genomic, biochemical, and computational analyses of ALK mutations across 1,596 diagnostic neuroblastoma samples. ALK tyrosine kinase domain mutations occurred in 8% of samples--at three hot spots and 13 minor sites--and correlated significantly with poorer survival in high- and intermediate-risk neuroblastoma. Biochemical and computational studies distinguished oncogenic (constitutively activating) from nononcogenic mutations and allowed robust computational prediction of their effects. The mutated variants also showed differential in vitro crizotinib sensitivities. Our studies identify ALK genomic status as a clinically important therapeutic stratification tool in neuroblastoma and will allow tailoring of ALK-targeted therapy to specific mutations.

Receptor tyrosine kinases with intracellular pseudokinase domains.

As with other groups of protein kinases, approximately 10% of the RTKs (receptor tyrosine kinases) in the human proteome contain intracellular pseudokinases that lack one or more conserved catalytically important residues. These include ErbB3, a member of the EGFR (epidermal growth factor receptor) family, and a series of unconventional Wnt receptors. We showed previously that, despite its reputation as a pseudokinase, the ErbB3 TKD (tyrosine kinase domain) does retain significant, albeit weak, kinase activity. This led us to suggest that a subgroup of RTKs may be able to signal even with very inefficient kinases. Recent work suggests that this is not the case, however. Other pseudokinase RTKs have not revealed significant kinase activity, and mutations that impair ErbB3's weak kinase activity have not so far been found to exhibit signalling defects. These findings therefore point to models in which the TKDs of pseudokinase RTKs participate in receptor signalling by allosterically regulating associated kinases (such as ErbB3 regulation of ErbB2) and/or function as regulated 'scaffolds' for other intermolecular interactions central to signal propagation. Further structural and functional studies, particularly of the pseudokinase RTKs involved in Wnt signalling, are required to shed new light on these intriguing signalling mechanisms.

Erlotinib binds both inactive and active conformations of the EGFR tyrosine kinase domain.

Erlotinib and gefitinib, tyrosine kinase inhibitors used to block EGFR (epidermal growth factor receptor) signalling in cancer, are thought to bind only the active conformation of the EGFR-TKD (tyrosine kinase domain). Through parallel computational and crystallographic studies, we show in the present study that erlotinib also binds the inactive EGFR-TKD conformation, which may have significant implications for its use in EGFR-mutated cancers.

Occupy EGFR.

Erlotinib and gefitinib inhibit the growth of non-small cell lung cancer tumors that harbor activating epidermal growth factor receptor (EGFR) mutations but are ineffective against EGFR variants found in glioblastoma. New studies by Barkovich and colleagues and Vivanco and colleagues show that these drugs only occupy the active sites of glioblastoma-derived EGFR mutants to a limited extent and fail to inhibit the activated receptor. Other EGFR inhibitors that target distinct receptor conformations are more effective in the treatment of glioblastoma. These studies reveal distinct drug selectivities for different EGFR mutations and show that an analysis of binding-site occupancy should be considered as a biomarker for inhibitor efficacy in targeting EGFR.