Molecular Epidemiology of spp. in Aborted Livestock in the Ningxia Hui Autonomous Region, China.

Brucellosis is caused by spp.; it can result in fetal loss and abortion, resulting in economic losses and negative effects on human health. Herein, a cross-sectional study on the epidemiology of spp.

The College of American Pathologists Biorepository Accreditation Program: Results from the First 10 Years.

The College of American Pathologists (CAP) Biorepository Accreditation Program (BAP) was established in 2012 with the goal of providing standardized requirements that ensure high quality for procuring, processing, storing, distributing, and computerizing information of biospecimens for scientific investigations. CAP BAP was the first biorepository accreditation program, and, since the program started in 2012, the world's second biorepository accreditation standard was issued by the International Organization for Standardization (ISO) as ISO 20387 in 2018. CAP BAP serves as an interface between several programs and draws best practices from renowned organizations.

Single-cell RNA sequencing reveals the effects of mental stress on mouse mammary tumors and the tumor microenvironment.

Mental stress has been shown to negatively impact the development and progression of human cancer, including breast cancer. However, its effects on the tumor microenvironment (TME) remain unclear. In this study, we applied single-cell sequencing analysis to tumor tissues from MMTV-PyMT transgenic mice with mammary gland tumors with or without exposure to mental stress.

Evaluation of two algorithms measuring homologous recombination deficiency status in prognostic assessment for treatment-naïve non-small cell lung cancer.

Objective: Patients with homologous recombination deficiency (HRD) demonstrate distinct clinicopathological and prognostic features. However, standardised and clinically validated HRD detection methodologies specifically tailored for non-small cell lung cancer (NSCLC) have yet to be established. Further research is needed to clarify the precise role and clinical implications of HRD in NSCLC.

Cannabidiol attenuates methamphetamine-induced oxidative neurotoxicity via regulating transient receptor potential vanilloid type 1.

Background: The prevalence of methamphetamine (METH) abuse has significantly escalated in many regions worldwide. Despite this increase, the complexity of neurotoxicity associated with METH is inadequately understood. Cannabidiol (CBD), a non-addictive plant ingredient in cannabis, has been used in preclinical and clinical studies for treating various neuropsychiatric disorders, but the mechanism by which CBD exerts therapeutic effects is still unclear.

TRAF7 knockdown induces cellular senescence and synergizes with lomustine to inhibit glioma progression and recurrence.

Background: The progression and recurrence are the fatal prognostic factors in glioma patients. However, the therapeutic role and potential mechanism of TRAF7 in glioma patients remain largely unknown.

Methods: TRAF7 RNA-seq was analysed with the TCGA and CGGA databases between glioma tissues and normal brain tissues.

Improving Diagnostic Accuracy of Indeterminate Thyroid Fine-Needle Aspiration Using Results of Ultrasound Examination, Cyclin D1 Immunostaining, and Molecular Testing.

Introduction: Fine-needle aspiration (FNA) is the standard procedure and routine method for diagnosing thyroid nodules. However, indeterminate cytological results diagnoses present considerable challenges in clinical management. This study aimed to evaluate cyclin D1 immunocytochemistry and the Chinese thyroid imaging reporting and data system (C-TIRADS) score, individually and in combination with a simple gene test for cytological diagnosis of Bethesda category III-Ⅴ.

Methamphetamine inhibits huntingtin-associated protein 1-mediated tyrosine receptor kinase B endocytosis resulting the neuroprotective dysfunction of brain-derived neurotrophic factor.

Methamphetamine (METH), a synthetic stimulant, has seen an escalating abuse situation globally over the past decade. Although the molecular mechanism underlying METH-induced neurotoxicity has been explored, the dysfunction of brain-derived neurotrophic factor (BDNF) neuroprotection in the context of METH neurotoxicity remains insufficiently understood. Our previous studies have found that METH induced neurotoxicity and BDNF expression in rat primary neurons, necessitating further research into this paradox.

Thiazole - A promising scaffold for antituberculosis agents and structure-activity relationships studies.

Research on thiazole derivatives has been a popular topic in medicine and one of the most active fields in heterocyclic chemistry. Pharmacological and industrial researchers have been studying thiazole-containing derivatives in great detail because they have a lot of biological uses. These compounds are one of the best examples of a five-membered heterocyclic compound that has a lot of potential and has had a lot of success in recent decades.

The Validation of Digital PCR-Based Minimal Residual Disease Detection for the Common Mutations in IDH1 and IDH2 Genes in Patients with Acute Myeloid Leukemia.

Accurate monitoring of minimal residual disease (MRD) is crucial for effective management of patients with acute myeloid leukemia (AML). This study aims to validate MRD detection of the seven most common IDH1 and IDH2 mutations in patients with AML using a QuantStudio 3D digital PCR platform. This assay demonstrated a high concordance for the variant allele frequencies between digital PCR and next-generation sequencing assays.

Preservation of cfRNA in cytological supernatants for cfDNA & cfRNA double detection in non-small cell lung cancer patients.

Backgroud: Supernatants from various cytological samples, including body cavity effusion, sputum, bronchoalveolar lavage fluid (BALF), and needle aspiration, have been validated for detecting genetic alterations using cell-free DNA (cfDNA) in patients with non-small cell lung cancer (NSCLC). However, the sensitivity of fusion variations detection remains challenging. The protection of cell-free RNA (cfRNA) is critical for resolving the issue.

Fusion Sarcoma Mimicking Malignant Peripheral Nerve Sheath Tumor with Prolonged Survival.

Nuclear Protein in Testis (NUT)-rearranged tumors comprise predominantly NUT carcinoma but also include certain lymphomas, leukemias, skin appendage tumors, and sarcomas. Although histologically diverse, all are genetically identified by oncogenic rearrangement in the NUTM1 gene. Many fusion partners occur, and NSD3 is NUT carcinoma's third most common partner.

Transition From Epstein-Barr Virus (EBV)-Positive Rectal Hodgkin Lymphoma to Diffuse Large B-Cell Lymphoma in the Lung.

We report a distinctive case of sequential lymphomas in a 72-year-old male, initially diagnosed with Epstein-Barr virus (EBV)-positive rectal classic Hodgkin lymphoma (cHL), followed by the development of diffuse large B cell lymphoma (DLBCL) in the lung. This rare progression underscores the complexity of lymphomas associated with EBV infection and their unpredictable clinical courses. The patient's journey began with symptoms of intractable diarrhea, low appetite, and significant weight loss, leading to the diagnosis of stage 4B cHL, managed initially with brentuximab/doxorubicin, vinblastine, dacarbazine (AVD) chemotherapy.

Activation of Peroxymonosulfate by Co-Ni-Mo Sulfides/CNT for Organic Pollutant Degradation.

To explore advanced oxidation catalysts, peroxymonosulfate (PMS) activation by Co-Ni-Mo/carbon nanotube (CNT) composite catalysts was investigated. A compound of NiCoS, MoS, and CNTs was successfully prepared using a simple one-pot hydrothermal method. The results revealed that the activation of PMS by Co-Ni-Mo/CNT yielded an exceptional Rhodamine B decolorization efficiency of 99% within 20 min for the Rhodamine B solution.

Clinical and molecular significance of homologous recombination deficiency positive non-small cell lung cancer in Chinese population: An integrated genomic and transcriptional analysis.

Objective: The clinical significance of homologous recombination deficiency (HRD) in breast cancer, ovarian cancer, and prostate cancer has been established, but the value of HRD in non-small cell lung cancer (NSCLC) has not been fully investigated. This study aimed to systematically analyze the HRD status of untreated NSCLC and its relationship with patient prognosis to further guide clinical care.

Methods: A total of 355 treatment-naïve NSCLC patients were retrospectively enrolled.

Utility of artificial intelligence in a binary classification of soft tissue tumors.

Soft tissue tumors (STTs) pose diagnostic and therapeutic challenges due to their rarity, complexity, and morphological overlap. Accurate differentiation between benign and malignant STTs is important to set treatment directions, however, this task can be difficult. The integration of machine learning and artificial intelligence (AI) models can potentially be helpful in classifying these tumors.

Classification and prediction of chemoradiotherapy response and survival from esophageal carcinoma histopathology images.

Whole slide imaging (WSI) of Hematoxylin and Eosin-stained biopsy specimens has been used to predict chemoradiotherapy (CRT) response and overall survival (OS) of esophageal squamous cell carcinoma (ESCC) patients. This retrospective study collected 279 specimens in 89 non-surgical ESCC patients through endoscopic biopsy between January 2010 and January 2019. These patients were divided into a CRT response group (CR + PR group) and a CRT non-response group (SD + PD group).

Radiotherapy in Preclinical Models of Brain Metastases: A Review and Recommendations for Future Studies.

Brain metastases (BMs) frequently occur in primary tumors such as lung cancer, breast cancer, and melanoma, and are associated with notably short natural survival. In addition to surgical interventions, chemotherapy, targeted therapy, and immunotherapy, radiotherapy (RT) is a crucial treatment for BM and encompasses whole-brain radiotherapy (WBRT) and stereotactic radiosurgery (SRS). Validating the efficacy and safety of treatment regimens through preclinical models is imperative for successful translation to clinical application.

TRPS1 expression in primary and metastatic prostatic adenocarcinoma, muscle invasive bladder urothelial carcinoma, and breast carcinoma: Is TRPS1 truly specific and sensitive for a breast primary?

Trichorhinophalangeal syndrome type 1 (TRPS1) has been reported to be a sensitive and specific immunohistochemical (IHC) marker for breast carcinomas, especially when determining primary site of origin. However, there is limited data on TRPS1 expression in prostate and bladder cancers. A two-phase study was performed with 1) an exploratory cohort analyzing TRPS1 gene alterations in prostate, bladder, and breast carcinoma and TPRS1 mRNA expression data in prostate and bladder carcinoma; and 2) TRPS1 and GATA3 IHC in a confirmatory cohort in prostate, bladder, and breast carcinoma samples.

FDNet: An end-to-end fusion decomposition network for infrared and visible images.

Infrared and visible image fusion can generate a fusion image with clear texture and prominent goals under extreme conditions. This capability is important for all-day climate detection and other tasks. However, most existing fusion methods for extracting features from infrared and visible images are based on convolutional neural networks (CNNs).

CT-based radiomics for predicting radio-chemotherapy response and overall survival in nonsurgical esophageal carcinoma.

Background: To predict treatment response and 2 years overall survival (OS) of radio-chemotherapy in patients with esophageal cancer (EC) by radiomics based on the computed tomography (CT) images.

Methods: This study retrospectively collected 171 nonsurgical EC patients treated with radio-chemotherapy from Jan 2010 to Jan 2019. 80 patients were randomly divided into training (n=64) and validation (n=16) cohorts to predict the radiochemotherapy response.

Radiomics and deep learning models to differentiate lung adenosquamous carcinoma: A multicenter trial.

Adenosquamous carcinoma (ASC) is frequently misdiagnosed or overlooked in clinical practice due to its dual histological components and potential transformation from either adenocarcinoma (ADC) or squamous cell carcinoma (SCC). Our study aimed to differentiate ASC from ADC and SCC by incorporating features of enhanced CTs and clinical characteristics to build radiomics and deep learning models. The classification models were trained in Xiangya Hospital and validated in two other independent hospitals.