Colorectal cancer (CRC) is a common malignancy with high morbidity and mortality worldwide. To date, chemotherapy plays an important role in the treatment of CRC patients. Multidrug resistance (MDR) is one of the major hurdles in chemotherapy for CRC, and the underlying mechanisms need to be explored. Studies have demonstrated that Wnt/β-catenin signaling plays a critical role in oncogenesis and tumor development, and its function in inhibiting apoptosis could facilitate tumor chemoresistance. Recent investigations have also suggested the regulatory effects of the Wnt/β-catenin signaling pathway in response to chemotherapeutic agents in CRC. Here, we particularly focus on reviewing the evidences suggesting the mechanisms of Wnt/β-catenin signaling in the chemoresistance modulation of colorectal cancer.

BackgroundPredicting protein structure from amino acid sequence is a prominent problem in computational biology. The long range interactions (or non-local interactions) are known as the main source of complexity for protein folding and dynamics and play the dominant role in the compact architecture. Some simple but exact model, such as HP model, captures the pain point for this difficult problem and has important implications to understand the mapping between protein sequence and structure.ResultsIn this paper, we formulate the biological problem into optimization model to study the hydrophobic-hydrophilic model on 3D square lattice. This is a combinatorial optimization problem and known as NP-hard. Particle swarm optimization is utilized as the heuristic framework to solve the hard problem. To avoid premature in computation, we incorporated the Tabu search strategy. In addition, a pulling strategy was designed to accelerate the convergence of algorithm based on the characteristic of native protein structure. Together a novel hybrid method combining particle swarm optimization, Tabu strategy, and pulling strategy can fold the amino acid sequences on 3D square lattice efficiently. Promising results are reported in several examples by comparing with existing methods. This allows us to use this tool to study the protein stability upon amino acid mutation on 3D lattice. In particular, we evaluate the effect of single amino acid mutation and double amino acids mutation via 3D HP lattice model and some useful insights are derived.ConclusionWe propose a novel hybrid method to combine several heuristic strategies to study HP model on 3D lattice. The results indicate that our hybrid method can predict protein structure more accurately and efficiently. Furthermore, it serves as a useful tools to probe the protein stability on 3D lattice and provides some biological insights.

<b><i>Introduction:</i></b> Cerebral infarction is one of the most common cerebrovascular diseases. The sequelae caused by cerebral infarction, including limb paralysis, crooked mouth corners, language barriers, etc., seriously affect the patient’s physical and mental health and enthusiasm for rehabilitation training. Therefore, psychological intervention has important positive significance for the rehabilitation and nursing of patients with cerebral infarction. <b><i>Methods:</i></b> This is a single-blind controlled study. 168 patients with cerebral infarction who met the inclusion criteria and visited our hospital from January 2018 to January 2020 were randomly divided into a control group (<i>n</i> = 84) and an intervention group (<i>n</i> = 84). The patients in the intervention group received an additional 3-month psychological treatment on the basis of the patients in the control group. The National Institutes of Health Stroke Scale (NIHSS), Activities of Daily Living (ADL) scale, Mini-Mental State Examination (MMSE), and Hamilton Depression Rating Scale (HAMD) were measured before and after the psychological intervention. <b><i>Results:</i></b> The 3-month psychological intervention we designed significantly reduced the NIHSS and HAMD scores of patients with cerebral infarction compared with traditional rehabilitation care for cerebral infarction, implying that our psychological intervention courses can improve patients’ cognitive function and suppress patients’ depression. Consistently, our psychological intervention also significantly improved ADL and MMSE scores 3 months after the onset of cerebral infarction patients, implying that this psychological intervention helped patients recover their daily functions relative to conventional care. <b><i>Conclusion:</i></b> Psychological intervention can be used as an adjunct therapy in the treatment and nursing of patients with cerebral infarction.

ObjectiveABI Family Member 3 Binding Protein (ABI3BP) is an extracellular matrix protein that affects the carcinogenesis of lung and esophageal cancer. However, the relevance of ABI3BP in different forms of cancer is uncertain.MethodsABI3BP expression was interpreted using the Cancer Genome Atlas (TCGA) database, the Genotype Tissue Expression Atlas (GTEx) database, the Human Protein Atlas (HPA) database, the Cancer Cell Line Encyclopedia (CCLE) database, and immunohistochemistry. The R programming language was used to analyze the association between ABI3BP expression and patient prognosis and evaluate the relationship between ABI3BP and the immune characteristics of tumors. Using the GDSC and CTRP databases, a drug sensitivity analysis of ABI3BP was conducted.ResultsABI3BP mRNA expression was shown by differential analysis to be down-regulated in 16 tumor types relative to normal tissues, corresponding with its protein expression level as determined by immunohistochemistry. Abnormal expression of ABI3BP accurately predicts the prognosis of patients with renal chromophobe carcinoma (KICH), mesothelioma (MESO), and pancreatic adenocarcinoma (PAAD). Meanwhile, aberrant expression of ABI3BP was associated with immune checkpoints, TMB, MSI, tumor purity, HRD, LOH, and drug sensitivity. A correlation between ABI3BP expression and the amount of infiltration of several immune-related cells in pan-cancer was determined by Immune Score, Stromal Score, and Estimated Score.ConclusionOur results show that ABI3BP might be employed as a molecular biomarker to predict prognosis, treatment susceptibility, and immunological response in patients with pan-cancer.