Longitudinal whole-genome sequencing reveals the evolution of MPAL

Comprehensive transcriptomic profiling of liver cancer identifies that histone and PTEN are major regulators of SCU‑induced antitumor activity

Worldwide, liver cancer is the most frequent fatal malignancy. Liver cancer prognosis is poor because patients frequently receive advanced-stage diagnoses. The current study aimed to establish the potential pharmacological targets and the biological networks of scutellarein (SCU) in liver cancer, a natural product known to have low toxicity and side effects. To identify the differentially expressed genes between SCU-treated and SCU-untreated HepG2 cells, RNA sequencing (RNA-seq) was carried out. A total of 463 genes were revealed to have differential expression, of which 288 were upregulated and 175 were downregulated in the group that had received SCU treatment compared with a control group. Gene Ontology (GO) enrichment analysis of associated biological process terms revealed they were mostly involved in the regulation of protein heterodimerization activity and nucleosomes. Interaction of protein-protein network analysis using Search Tool for the Retrieval of Interacting Genes/Proteins resulted in two crucial interacting hub targets; namely, histone H1-4 and protein tyrosine phosphatase receptor type C. Additionally, the crucial targets were validated using western blotting. Overall, the present study demonstrated that the use of RNA-seq data, with bioinformatics tools, can provide a valuable resource to identify the pharmacological targets that could have important biological roles in liver cancer.

Transcriptome analysis of sinensetin-treated liver cancer cells guided by biological network analysis

Hepatocellular carcinoma is recognized as one of the most frequently occurring malignant types of liver cancer globally, making the identification of biomarkers critically important. The aim of the present study was to identify the genes involved in the anticancer effects of flavonoid compounds so that they may be used as targets for cancer treatment. Sinensetin (SIN), an isolated polymethoxyflavone monomer compound, possesses broad antitumor activities in vitro. Therefore, the identification of a transcriptome profile on the condition of cells treated with SIN may aid to better understand the genes involved and its mechanism of action. Genomic profiling studies of cancer are increasing rapidly in order to provide gene expression data that can reveal prognostic biomarkers to combat liver cancer. In the present study, high-throughput RNA sequencing (RNA-seq) was performed to reveal differential gene expression patterns between SIN-treated and SIN-untreated human liver cancer HepG2 cells. A total of 43 genes were identified to be differentially expressed (39 downregulated and 4 upregulated in the SIN-treated group compared with the SIN-untreated group). An extensive network analysis for these 43 genes resulted in the identification of 10 upregulated highly interconnected hub genes that contributed to the progression of cancer. Functional enrichment analysis of these 10 hub genes revealed their involvement in the regulation of apoptotic processes, immune response and tumor necrosis factor production. Additionally, the mRNA expression levels of these 10 genes were evaluated using reverse transcription-quantitative PCR, and the results were consistent with the RNA-seq data. Overall, the results of the present study revealed differentially expressed genes involved in cancer after SIN treatment in HepG2 cells and may help to develop strategies targeting these genes for treating liver cancer.

Diagnostic workup of acute leukemias of ambiguous lineage

Acute leukemias of ambiguous lineage (ALAL) comprise acute undifferentiated leukemias (AUL) and mixed-phenotype acute leukemias (MPAL). In the revised fourth edition of the World Health Organization (WHO) classification provided further refinements to the diagnostic criteria for ALAL. Molecular characterization of MPALs using comprehensive next-generation sequencing (NGS) has provided insights into their underlying biology and enabled a deeper understanding of ALAL classification. This review addresses the various components of pathologic assessment to establish a diagnosis of ALAL, and to further subclassify individual cases as AUL or MPAL, with an emphasis on the most up-to-date revisions to diagnostic criteria. In addition, key issues related to the detection of minimal residual disease (MRD) in ALALs and MPALs, and recently uncovered novel molecular diagnostic findings that may be helpful in better distinguishing various types of MPALs from each other, and from their "non-mixed" phenotypic correlates, are also discussed.