'A good ending but not the end': Exploring family preparations surrounding a relative's death and the Afterlife - A qualitative study.

Background: Adequate death preparation positively influences families' experience before death and during bereavement. However, how to prepare families in non-Western cultures has received scant attention.

Aim: To explore family caregivers' experiences in preparing for a relative's death in specialist palliative care in Taiwan.

The multinomial mixed-effect regression model for predicting PCOC phases in hospice patients.

Purpose: The Palliative Care Outcomes Collaboration (PCOC) aims to enhance patient outcomes systematically. However, identifying crucial items and accurately determining PCOC phases remain challenging. This study aims to identify essential PCOC data items and construct a prediction model to accurately classify PCOC phases in terminal patients.

SnoRNA U50A mediates everolimus resistance in breast cancer through mTOR downregulation.

Breast cancer remains the most prevalent cancer in women globally, posing significant challenges in treatment due to the inevitable development of resistance to targeted therapies like everolimus, an mTOR inhibitor. While several mechanisms of resistance have been proposed, the role of snoRNAs in this context remains inadequately explored. Our study unveils a novel connection between snoRNAs and everolimus resistance, focusing on the snoRNA U50A.

A deep learning-based pipeline for analyzing the influences of interfacial mechanochemical microenvironments on spheroid invasion using differential interference contrast microscopic images.

Metastasis is the leading cause of cancer-related deaths. During this process, cancer cells are likely to navigate discrete tissue-tissue interfaces, enabling them to infiltrate and spread throughout the body. Three-dimensional (3D) spheroid modeling is receiving more attention due to its strengths in studying the invasive behavior of metastatic cancer cells.

Neoadjuvant pegylated liposomal doxorubicin- and epirubicin-based combination therapy regimens for early breast cancer: a multicenter retrospective case-control study.

Purpose: This study aimed to compare the effectiveness and safety of pegylated liposomal doxorubicin (PLD)-based and epirubicin-based combination therapy regimen as neoadjuvant therapy for early breast cancer.

Methods: Patients with stage I-III breast cancer who underwent neoadjuvant therapy followed by surgery between January 2018 and December 2019 were retrospectively reviewed. The primary outcome was pathological complete response (pCR) rate.

Lidocaine transdermal patches reduced pain intensity in neuropathic cancer patients already receiving opioid treatment.

Background: Limited efficacy has been observed when using opioids to treat neuropathic pain. Lidocaine patches reduce neuropathic pain in postherpetic neuralgia, but their benefits for cancer-related neuropathic pain remain unclear. This study aimed to investigate a treatment for cancer-related neuropathic pain.

Hospice delivery models and survival differences in the terminally ill: a large cohort study.

Objective: A common difficulty at the end of life (EOL) is to determine an appropriate service model, such as hospice share care (HSC), hospice inpatient care (HIC) and hospice home care (HHC). This study aimed to recommend the appropriate hospice delivery model based on the physical, psychosocial and spiritual needs of patients referred for hospice care.

Methods: This cohort study included patients who received only one kind of hospice delivery model between 2006 and 2020.

Transferrin Modified GSH Sensitive Hyaluronic Acid Derivative Micelle to Deliver HSP90 Inhibitors to Enhance the Therapeutic Efficacy of Brain Cancers.

Herein, GSH-sensitive hyaluronic acid-poly(lactic-co-glycolic acid) (HA-SS-PLGA) was synthesized. Surface modification of PLGA with hyaluronic acid produced a highly stable micelle at physiological pH while a micelle was destabilized at a higher GSH level. Fluorescence microscopy results showed that rhodamine-encapsulated micelle was taken up by brain cancer cells, while competitive inhibition was observed in the presence of free HA and free transferrin.

Receptor discordance and phenotype change in metastatic breast cancer.

Background: changes may occur in tumor phenotype and receptor status during the progression of breast cancer. Discordance between primary and metastases has implications for further treatment and prognosis.

Methods: 185 patients confirmed breast cancer metastasis were retrospectively analyzed during 1999-2019.

Brain biopsy-proven intravascular lymphomatosis presenting as rapidly recurrent strokes-two case reports.

Purpose: Intravascular lymphomatosis (IVL) is rare and usually goes undiagnosed until the time of autopsy because of its protean neurological manifestations.

Case Report: In this report, we describe two women who developed rapidly recurrent strokes within one to two months. In both cases, brain magnetic resonance imaging showed progression of bilateral cerebral infarcts, and histopathology from brain biopsy confirmed the diagnosis of IVL.

Operon prediction using chaos embedded particle swarm optimization.

Operons contain valuable information for drug design and determining protein functions. Genes within an operon are co-transcribed to a single-strand mRNA and must be coregulated. The identification of operons is, thus, critical for a detailed understanding of the gene regulations.

Features for computational operon prediction in prokaryotes.

Accurate prediction of operons can improve the functional annotation and application of genes within operons in prokaryotes. Here, we review several features: (i) intergenic distance, (ii) metabolic pathways, (iii) homologous genes, (iv) promoters and terminators, (v) gene order conservation, (vi) microarray, (vii) clusters of orthologous groups, (viii) gene length ratio, (ix) phylogenetic profiles, (x) operon length/size and (xi) STRING database scores, as well as some other features, which have been applied in recent operon prediction methods in prokaryotes in the literature. Based on a comparison of the prediction performances of these features, we conclude that other, as yet undiscovered features, or feature selection with a receiver operating characteristic analysis before algorithm processing can improve operon prediction in prokaryotes.

PPO: predictor for prokaryotic operons.

Summary: We present an operon predictor for prokaryotic operons (PPO), which can predict operons in the entire prokaryotic genome. The prediction algorithm used in PPO allows the user to select binary particle swarm optimization (BPSO), a genetic algorithm (GA) or some other methods introduced in the literature to predict operons. The operon predictor on our web server and the provided database are easy to access and use.

Binary particle swarm optimization for operon prediction.

An operon is a fundamental unit of transcription and contains specific functional genes for the construction and regulation of networks at the entire genome level. The correct prediction of operons is vital for understanding gene regulations and functions in newly sequenced genomes. As experimental methods for operon detection tend to be nontrivial and time consuming, various methods for operon prediction have been proposed in the literature.