Analysis of 14 ß-agonists in pork using an automated wooden tip-based solid-phase microextraction device and ultra-high-performance liquid chromatography-tandem mass spectrometry.

This study introduces a cost-effective, automated ultra-high-performance liquid chromatography-tandem mass spectrometry method for the detection of 14 ß-agonists in pork using a novel solid-phase microextraction probe composed of polyacrylonitrile and molecularly imprinted polymer. Integrated into an automated extraction device, the probe optimizes extraction prior to analysis while reducing expenses and time compared to traditional solid-phase extraction procedures. The method validation followed the Chinese National Standard (GB/T 27404-2008) and examined limits of detection, limits of quantification, matrix effects, linearity, intraday, and interday precision. Average recovery rates ranged from 71.6% to 82.2%, with relative standard deviations less than 15%. Limits of detection and limits of quantification ranged from 0.09 to 0.39 and 0.27 to 0.99 µg/kg, respectively. The new method identified positive samples more accurately than the current National Standard GB/T 31658.22-2022 and demonstrated its potential for routine assessment and regulatory compliance in the detection of ß-agonists in pork.

SF3B4 downregulation restrains lung adenocarcinoma tumorigenesis via 5' alternative splicing of KAT2A.

Aberrant expression of splicing factors, including SF3B4, plays a vital role in lung adenocarcinoma (LUAD). However, the impact of SF3B4 in the progression of LUAD has not been studied well. Here, we demonstrated the effects of SF3B4 in LUAD via apoptosis, proliferation, migration assays, etc. Gene manipulations confirmed the role of SF3B4 via KAT2A. SF3B4 was found to promote LUAD growth. Further studies found that, upon SF3B4 knockdown in LUAD cells, an alternative splice site occurred at the 5'-UTR of KAT2A, which led to the downregulation of KAT2A at both RNA and protein levels. Furthermore, the decrease in KAT2A expression partially reversed the effect of SF3B4 in promoting tumorigenesis. The axis SF3B4/ KAT2A was identified as a significant player in LUAD progression, shedding light on the therapeutic development in LUAD.

Prognostic value of lymphatic vessel density in oral squamous cell carcinoma.

AIMS: Lymphatic vessel density (LVD) for the evaluation of tumor metastasis and prognosis remains controversial. The aim of this study was to elucidate the association between tumor cells and lymphatic vessels, and evaluate LVD in oral squamous cell carcinoma (OSCC). MAIN METHODS: 128 OSCC cases were used to determine the expression of lymphatic vessel endothelial hyaluronan receptor 1 (LYVE-1) and vascular endothelial growth factor C (VEGF-C). Mann-Whitney or Kruskal-Wallis tests were employed to analyze the association between clinicopathological data and intratumoral LVD (ILVD), peritumoral LVD (PLVD), and VEGF-C; comparisons between ILVD and PLVD were made with t-test. Correlations between LVD and VEGF-C were analyzed by Spearman's correlation coefficient. Disease-specific survival curves were obtained with Kaplan-Meier method and compared using the log-rank test. Cox multiple regression was used to clarify the independent effect of clinicopathological data on clinical outcome. KEY FINDINGS: Tumor tissues were positively stained with LYVE-1 and VEGF-C. Both tumor metastasis and recurrence were associated with ILVD. A significant association between ILVD and VEGF-C expression was observed (P < 0.05). A significant association between high ILVD and poor disease-specific survival was observed (P < 0.05). SIGNIFICANCE: This study showed that ILVD was significantly associated with increased lymphatic metastasis, tumor recurrence, and reduced disease-specific survival in patients with OSCC. ILVD could be an indicator to predict the prognosis of OSCC.

Genome-wide identification of a novel miRNA-based signature to predict recurrence in patients with gastric cancer.

The current tumor node metastasis (TNM) staging system is inadequate for identifying high-risk gastric cancer (GC) patients. Using a systematic and comprehensive-biomarker discovery and validation approach, we attempted to build a microRNA (miRNA)-recurrence classifier (MRC) to improve the prognostic prediction of GC. We identified 312 differentially expressed miRNAs in 446 GC tissues compared to 45 normal controls by analyzing high-throughput data from The Cancer Genome Atlas (TCGA). Using a Cox regression model, we developed an 11-miRNA signature that could successfully discriminate high-risk patients in the training set (n = 372; P < 0.0001). Quantitative real-time polymerase chain reaction-based validation in an independent clinical cohort (n = 88) of formalin-fixed paraffin-embedded clinical GC samples showed that MRC-derived high-risk patients succumb to significantly poor recurrence-free survival in GC patients (P < 0.0001). Cox and stratification analysis indicated that the prognostic value of this signature was independent of clinicopathological risk factors. Time-dependent receiver operating characteristic (ROC) analysis revealed that the area under the curve of this signature was significantly larger than that of TNM stage in the TCGA (0.733 vs. 0.589 at 3 years, P = 0.004; 0.802 vs. 0.635 at 5 years, P = 0.005) and validation cohort (0.835 vs. 0.689 at 3 years, P = 0.003). A nomogram was constructed for clinical use, which integrated both MRC and clinical-related variables (depth of invasion, lymph node status and distance metastasis) and did well in the calibration plots. In conclusion, this novel miRNA-based signature is superior to currently used clinicopathological features for identifying high-risk GC patients. It can be readily translated into clinical practice with formalin-fixed paraffin-embedded specimens for specific decision-making applications.