Identification of possible drug treatment targets and related immune cell infiltration properties in acute myeloid leukemia utilizing robust rank aggregation algorithm.

In this study, we aimed to uncover novel biomarkers in acute myeloid leukemia (AML) that could serve as prognostic indicators or therapeutic targets. We analyzed AML microarray datasets from the Gene Expression Omnibus (GEO) repository, identifying key differentially expressed genes (DEGs) through the robust rank aggregation (RRA) approach. The functions of these DEGs were elucidated through Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses.

Meta-analysis of the effect of sophora flavescens on tumor metastasis-induced bone neuropathic pain.

Background: Tumor metastasis to bone is a critical and painful stage in cancer progression, significantly affecting patients' quality of life. Traditional treatments for bone neuropathic pain often exhibit limited efficacy and undesirable side effects. Sophora flavescens, an herb used in traditional Chinese medicine, has shown potential analgesic and anti-cancer properties, but the existing evidence is fragmented and inconsistent.

Xiaoai Jiedu recipe reduces cell survival and induces apoptosis in hepatocellular carcinoma by stimulating autophagy via the AKT/mTOR pathway.

Ethnopharmacological Relevance: The Xiaoai Jiedu recipe (XJR) is a traditional Chinese medicine formulation used in clinical settings to treat liver cancer. It has shown promising effectiveness by combining herbal and animal-derived ingredients, offering a new approach to cancer treatment. However, its mechanism of action is poorly understood.

Evaluation of the effectiveness and safety of combining PD-1/PD-L1 inhibitors with anti-angiogenic agents in unresectable hepatocellular carcinoma: a systematic review and meta-analysis.

Background: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality globally, particularly when diagnosed at an unresectable stage. Traditional treatments for advanced HCC have limited efficacy, prompting the exploration of combination therapies. This systematic review and meta-analysis evaluate the effectiveness and safety of combining PD-1/PD-L1 inhibitors with anti-angiogenic agents in patients with unresectable HCC.

Diagnostic lncRNA high expression for liver patients prognosis and medication guidance: a systematic review and meta-analysis.

Background: The study of long non-coding RNAs (lncRNAs) has gained significant attention due to their roles in regulating gene expression and their potential as diagnostic biomarkers. This systematic review and meta-analysis aimed to evaluate the diagnostic value of high-expression lncRNAs in liver disease patients, including those with hepatitis, cirrhosis, and hepatocellular carcinoma (HCC).

Methods: A comprehensive literature search was conducted across multiple electronic databases, including PubMed, Embase, Web of Science, and Cochrane Library, up to July 2024.

Identification of key pathways and genes in colorectal cancer to predict the prognosis based on mRNA interaction network.

The aim of the present study was to identify key genes in colorectal cancer (CRC) that could be used to reliably diagnose this disease and to explore the potential underlying mechanisms . The gene expression profiles of primary human cancer datasets GSE21510 and GSE32323 were downloaded from the Gene Expression Omnibus database. The limma R software package was used to identify differentially expressed (DE) genes.

Quercetin inhibits growth of hepatocellular carcinoma by apoptosis induction in part via autophagy stimulation in mice.

Quercetin (QCT) has been shown to have anticancer activities associated with apoptosis and autophagy induction. However, whether autophagy is functionally responsible for the inhibitory effect of QCT on hepatocellular carcinoma (HCC) remains elusive. This study aims to investigate if QCT inhibits HCC growth via autophagy induction.