Immunotherapy-relevance of a candidate prognostic score for Acute Myeloid Leukemia.

Background: Acute Myeloid Leukemia (AML) exhibits a wide array of phenotypic manifestations, progression patterns, and heterogeneous responses to immunotherapies, suggesting involvement of complex immunobiological mechanisms. This investigation aimed to develop an integrated prognostic model for AML by incorporating cancer driver genes, along with clinical and phenotypic characteristics of the disease, and to assess its implications for immunotherapy responsiveness.

Methods: Critical oncogenic driver genes linked to survival were identified by screening primary effector and corresponding gene pairs using data from The Cancer Genome Atlas (TCGA), through univariate Cox proportional hazard regression analysis.

T cell-mediated tumor killing sensitivity gene signature-based prognostic score for acute myeloid leukemia.

Background And Objective: Acute myeloid leukemia (AML) is an aggressive, heterogenous hematopoetic malignancies with poor long-term prognosis. T-cell mediated tumor killing plays a key role in tumor immunity. Here, we explored the prognostic performance and functional significance of a T-cell mediated tumor killing sensitivity gene (GSTTK)-based prognostic score (TTKPI).

A postoperative tumor-specific death prediction model for patients with endometrial cancer: a retrospective study.

Background: Endometrial cancer (EC) is an epithelial malignancy occurring in the endometrium, with a 5-year mortality rate of above 10%. However, there is currently a lack of studies exploring the potential of a predictive model of tumor-specific death after surgery in these patients.

Methods: From January 2015 to December 2017, data related to 482 patients with EC admitted to the Dushu Lake Hospital Affiliated to Soochow University were analyzed.

Effect of 3D laparoscopy versus traditional laparotomy on serum tumor markers and coagulation function in patients with early-stage endometrial cancer.

Objectives: To investigate the impact of Three-Dimensional (3D) laparoscopy compared to traditional laparotomy on serum tumor markers and coagulation function in patients diagnosed with early-stage Endometrial Cancer (EC).

Method: The authors retrospectively analyzed the clinical data of 75 patients diagnosed with early-stage EC and categorized them into two groups based on the surgical techniques employed. The 3D group consisted of 36 patients who underwent 3D laparoscopic surgery, while the Laparotomy group comprised 39 patients who underwent traditional laparotomy.

A comprehensive prognostic score for head and neck squamous cancer driver genes and phenotype traits.

Background: Head and neck squamous cancer (HNSCC) presents variable phenotype and progression features. Clinically applicable, high-accuracy multifactorial prognostic models for HNSCC survival outcomes are warranted and an active area of research. This study aimed to construct a comprehensive prognostic tool for HNSCC overall survival by integrating cancer driver genes with tumor clinical and phenotype information.

Construction of a risk model and deep learning network based on patients with active pulmonary tuberculosis and pulmonary inflammation.

Most patients with active pulmonary tuberculosis (TB) are difficult to be differentiated from pneumonia (PN), especially those with acid-fast bacillus smear-negative (AFB) and interferon-γ release assay-positive (IGRA) results. Thus, the aim of the present study was to develop a risk model of low-cost and rapid test for the diagnosis of AFB IGRA TB from PN. A total of 41 laboratory variables of 204 AFB IGRA TB and 156 PN participants were retrospectively analyzed.

Investigation on the contents of heat-induced hazards in commercial nuts.

The purpose was to investigate the contents of heat-induced hazards by liquid chromatography-tandem mass spectrometry (LC-MS/MS) in 44 commercial nuts. Results showed that content ranges of Acrylamide (AA), 5-hydroxymethylfurfural (5-HMF), N-carboxymethyl-lysine (CML), N-carboxyethyl-lysine (CEL), 3-Deoxyglucosone (3-DG), Glyoxal (GO), and Methylglyoxal (MGO) were ND-123.57 µg/kg, 0.

Mycobacterium tuberculosis Utilizes Host Histamine Receptor H1 to Modulate Reactive Oxygen Species Production and Phagosome Maturation via the p38MAPK-NOX2 Axis.

Tuberculosis (TB), which is caused by the single pathogenic bacterium, Mycobacterium tuberculosis, is among the top 10 lethal diseases worldwide. This situation has been exacerbated by the increasing number of cases of multidrug-resistant TB (MDR-TB) and extensively drug-resistant TB (XDR-TB). Histamine is an organic nitrogenous compound that mediates a plethora of cell processes via different receptors.

Meta-analysis of transcriptome datasets: An alternative method to study IL-6 regulation in coronavirus disease 2019.

In coronavirus disease 2019 (COVID-19) patients, interleukin (IL)-6 is one of the leading factors causing death through cytokine release syndrome. Hence, identification of IL-6 downstream from clinical patients' transcriptome is very valid for analyses of its mechanism. However, clinical study is conditional and time consuming to collect optional size of samples, as patients have the clinical heterogeneity.

The Pathway Analysis of Micrornas Regulated Drug-Resistant Responses in HeLa Cells.

Chemotherapy is the main strategy in the treatment of cancer; however, the development of drug-resistance is the obstacle in long-term treatment of cervical cancer. Cisplatin is one of the most common drugs used in cancer therapy. Recently, accumulating evidence suggests that miRNAs are involved in various bioactivities in oncogenesis.

Design and simulation of proportional biological operational Mu-circuit.

It is challenging yet desirable to quantitatively control the expression of a target gene in practice. We design a device-Proportional Biological Operational Mu-circuit (P-BOM) incorporating AND/OR gate and operational amplifier into one circuit and explore its behaviors through simulation. The results imply that will be possible to regulate input-output proportionally by manipulating the RBS of hrpR, hrpS, tetR and output gene and used in the sensing of environmental weak signals such as dioxins.

The sensitivity and significance analysis of parameters in the model of pH regulation on lactic acid production by Lactobacillus bulgaricus.

Background: The excessive production of lactic acid by L. bulgaricus during yogurt storage is a phenomenon we are always tried to prevent. The methods used in industry either control the post-acidification inefficiently or kill the probiotics in yogurt.