Unveiling the role of PANoptosis-related genes in breast cancer: an integrated study by multi-omics analysis and machine learning algorithms.

Background: The heterogeneity of breast cancer (BC) necessitates the identification of novel subtypes and prognostic models to enhance patient stratification and treatment strategies. This study aims to identify novel BC subtypes based on PANoptosis-related genes (PRGs) and construct a robust prognostic model to guide individualized treatment strategies.

Methods: The transcriptome data along with clinical data of BC patients were sourced from the TCGA and GEO databases.

Clinical impact of pretreatment albumin-globulin ratio in patients with colorectal cancer: A meta-analysis.

Background: Accumulating evidence have revealed that pretreatment albumin to globulin ratio (AGR) may be a predictor of prognosis among patients with colorectal cancer (CRC). However, these findings are inconsistent. The aim of the present study was to investigate the prognostic value of pretreatment AGR in CRC.

Molecular Network-Based Identification of Circular RNA-Associated ceRNA Network in Papillary Thyroid Cancer.

Circular RNAs (circRNAs) have displayed dysregulated expression in several types of cancer. Nevertheless, their function and underlying mechanisms in papillary thyroid cancer (PTC) remains largely unknown. This study aimed to describe the regulatory mechanisms in PTC.

microRNA‑3941 targets IGF2 to control LPS‑induced acute pneumonia in A549 cells.

The present study aimed to investigate the potential roles and regulatory mechanism of microRNA (miR)-3941 in lipopolysaccharides (LPS)‑induced acute pneumonia. The expression of miR‑3941 in child patients with acute pneumonia was detected and A549 cells were treated with LPS to establish the cellular model of acute pneumonia. The effects of miR‑3941 in LPS‑induced cell injury were investigated by assessing cell viability, apoptosis and inflammation.