Aging and comprehensive molecular profiling in acute myeloid leukemia.

Acute myeloid leukemia (AML) is an aging-related and heterogeneous hematopoietic malignancy. In this study, a total of 1,474 newly diagnosed AML patients with RNA sequencing data were enrolled, and targeted or whole exome sequencing data were obtained in 94% cases. The correlation of aging-related factors including age and clonal hematopoiesis (CH), gender, and genomic/transcriptomic profiles (gene fusions, genetic mutations, and gene expression networks or pathways) was systematically analyzed. Overall, AML patients aged 60 y and older showed an apparently dismal prognosis. Alongside age, the frequency of gene fusions defined in the World Health Organization classification decreased, while the positive rate of gene mutations, especially CH-related ones, increased. Additionally, the number of genetic mutations was higher in gene fusion-negative (GF-) patients than those with GF. Based on the status of CH- and myelodysplastic syndromes (MDS)-related mutations, three mutant subgroups were identified among the GF- AML cohort, namely, CH-AML, CH-MDS-AML, and other GF- AML. Notably, CH-MDS-AML demonstrated a predominance of elderly and male cases, cytopenia, and significantly adverse clinical outcomes. Besides, gene expression networks including HOXA/B, platelet factors, and inflammatory responses were most striking features associated with aging and poor prognosis in AML. Our work has thus unraveled the intricate regulatory circuitry of interactions among different age, gender, and molecular groups of AML.

KLK10/LIPH/PARD6B/SLC52A3 are promising molecular biomarkers for the prognosis of pancreatic cancer through a ceRNA network.

Pancreatic adenocarcinoma (PAAD) remains challenging to diagnose and treat clinically due to its difficult early diagnosis, low surgical resection rate, and high risk of postoperative recurrence and metastasis. SMAD4 is a classical mutated gene in pancreatic cancer and is lost in up to 60%-90 % of PAAD patients, and its mutation often predicts a poor prognosis and treatment resistance. In this study, based on the expression profile data in The Cancer Genome Atlas database, we identified a ceRNA network composed of 2 lncRNAs, 1 miRNA, and 4 mRNAs through differential expression analysis and survival prognosis analysis. Among them, high expression of KLK10/LIPH/PARD6B/SLC52A3 influenced the prognosis and overall survival of PAAD patients. We confirmed the high expression of these target genes in pancreatic tissue of pancreatic-specific SMAD4-deficient mice. In addition, immune infiltration analysis showed that the high expression of these target genes affects the tumor immune environment and contributes to the progression of PAAD. Abnormal overexpression of these target genes may be caused by hypermethylation. In conclusion, we found that KLK10/LIPH/PARD6B/SLC52A3 is a potential prognostic marker for PAAD based on a competing endogenous RNA-mediated mechanism and revealed the potential pathogenic mechanism by which deficient expression of SMAD4 promotes pancreatic cancer progression, which provides a new pathway and theoretical basis for targeted therapy or improved prognosis of pancreatic cancer. These data will help reveal potential therapeutic targets for pancreatic cancer and improve the prognosis of pancreatic cancer patients.

Clinical value of alkaline phosphatase on the surface membrane of neutrophils for prediction of bacteremia in patients with systemic inflammatory response syndrome.

In this study, the utility and diagnostic accuracy of alkaline phosphatase on the surface membrane of neutrophils (mNAP) for bacteremia in patients with systemic inflammatory response syndrome (SIRS) was investigated and assessed. A total of 149 patients with SIRS were included. mNAP values were significantly higher in bacteremic SIRS group compared with that in non-bacteremic SIRS group (P < 0.001). The mNAP levels were significantly higher in SIRS patients with gram-negative bacteremia than those with gram-positive bacteremia. (P < 0.001). The receiver operating characteristic (ROC) curve analysis revealed the areas under ROC (AUC) of 0.806 for mNAP in differentiating SIRS patients with bacteremia from those without, similar to that for procalcitonin (PCT) (0.797). Combination of PCT and mNAP gave an AUC of 0.841. mNAP shares a similar diagnostic accuracy to PCT in predicting bacteremia in SIRS patients. The combination of mNAP and PCT provides a better prediction of bacteremia in patients with SIRS than either test alone.

[Drug delivery systems of baicalin, baicalin-phospholipid complex and self-microemulsifying drug across Caco-2 cell model].

OBJECTIVE: To study the absorption of baicalin (BA), baicalin-phospholipid complex (BA-PC), and two kinds of self-microemulsifying drug delivery system (SMEDDS) of BA-PC (BA-PC-NE-SMEDDS with natural emulsifier and BA-PC-NS-SMEDDS with nonionic surfactants) and predict the ability of improving bioavailability through changing the formulation of BA. METHODS: Transmembrane transports of each formulation were studied by Caco-2 cell model and the concentration of BA was determined by HPLC. RESULTS: With the increasing concentration of BA, the transport rate and apparent permeability coefficient (Papp) of BA was increased,indicating the passive absorption mechanism of BA. While with the increase of transport time, the transport rate and Papp of BA was decreased slowly, most likely due to the biological transformation of BA during the permeation process as reported in other people's paper. When coupled with P-gp inhibitor (Verapamil), the efflux rate (ER) of BA decreased from 2.07 to 0.48, indicating it was the substrate of P-gp. Compared with BA,the cumulative permeate quantity of BA-PC and BA-PC-SMEDDS were with no significant increase before 90 min (P > 0.05), but increased obviously after 90 min (P < 0.05). Three hours later, the cumulative permeate quantity and Papp showed significant differences (P < 0.05) among each formulation and were arranged in the following order: BA-PC-NS-SMEDDS > BA-PC-NE-SMEDDS > BA-PC > BA. Furthermore, the Papp of BA-PC and BA-PC-SMEDDS was significantly greater than that of BA coupled with Verapamil (P < 0.05). CONCLUSION: PC promotes the permeation of BA; PC-SMEDDS further accelerates its permeation bases on BA-PC; And BA-PC-NS-SMEDDS shows the better effect than BA-PC-NE-SMEDDS to promote the permeation of BA.