Deep learning-based 3D quantitative total tumor burden predicts early recurrence of BCLC A and B HCC after resection.

OBJECTIVES: This study aimed to evaluate the potential of deep learning (DL)-assisted automated three-dimensional quantitative tumor burden at MRI to predict postoperative early recurrence (ER) of hepatocellular carcinoma (HCC). MATERIALS AND METHODS: This was a single-center retrospective study enrolling patients who underwent resection for BCLC A and B HCC and preoperative contrast-enhanced MRI. Quantitative total tumor volume (cm3) and total tumor burden (TTB, %) were obtained using a DL automated segmentation tool. Radiologists' visual assessment was used to ensure the quality control of automated segmentation. The prognostic value of clinicopathological variables and tumor burden-related parameters for ER was determined by Cox regression analyses. RESULTS: A total of 592 patients were included, with 525 and 67 patients assigned to BCLC A and B, respectively (2-year ER rate: 30.0% vs. 45.3%; hazard ratio (HR) = 1.8; p = 0.007). TTB was the most important predictor of ER (HR = 2.2; p < 0.001). Using 6.84% as the threshold of TTB, two ER risk strata were obtained in overall (p < 0.001), BCLC A (p < 0.001), and BCLC B (p = 0.027) patients, respectively. The BCLC B low-TTB patients had a similar risk for ER to BCLC A patients and thus were reassigned to a BCLC An stage; whilst the BCLC B high-TTB patients remained in a BCLC Bn stage. The 2-year ER rate was 30.5% for BCLC An patients vs. 58.1% for BCLC Bn patients (HR = 2.8; p < 0.001). CONCLUSIONS: TTB determined by DL-based automated segmentation at MRI was a predictive biomarker for postoperative ER and facilitated refined subcategorization of patients within BCLC stages A and B. CLINICAL RELEVANCE STATEMENT: Total tumor burden derived by deep learning-based automated segmentation at MRI may serve as an imaging biomarker for predicting early recurrence, thereby improving subclassification of Barcelona Clinic Liver Cancer A and B hepatocellular carcinoma patients after hepatectomy. KEY POINTS: Total tumor burden (TTB) is important for Barcelona Clinic Liver Cancer (BCLC) staging, but is heterogenous. TTB derived by deep learning-based automated segmentation was predictive of postoperative early recurrence. Incorporating TTB into the BCLC algorithm resulted in successful subcategorization of BCLC A and B patients.

CRISPR/dCas9-Mediated DNA Methylation Editing on emx2 in Chinese Tongue Sole (Cynoglossus semilaevis) Testis Cells.

DNA methylation is a key epigenetic mechanism orchestrating gene expression networks in many biological processes. Nonetheless, studying the role of specific gene methylation events in fish faces challenges. In this study, we validate the regulation of DNA methylation on empty spiracles homeobox 2 (emx2) expression with decitabine treatment in Chinese tongue sole testis cells. We used the emx2 gene as the target gene and developed a new DNA methylation editing system by fusing dnmt3a with catalytic dead Cas9 (dCas9) and demonstrated its ability for sequence-specific DNA methylation editing. Results revealed that utilizing dCas9-dnmt3a to target emx2 promoter region led to increased DNA methylation levels and decreased emx2 expression in Chinese tongue sole testis cells. More importantly, the DNA methylation editing significantly suppressed the expression of MYC proto-oncogene, bHLH transcription factor (myc), one target gene of emx2. Furthermore, we assessed the off-target effects of dCas9-dnmt3a and confirmed no significant impact on the predicted off-target gene expression. Taken together, we developed the first DNA methylation editing system in marine species and demonstrated its effective editing ability in Chinese tongue sole cells. This provides a new strategy for both epigenetic research and molecular breeding of marine species.

The crosstalk between efflux pump and resistance gene mutation in Helicobacter pylori.

Efflux pumps play a crucial role in the development of antibiotic resistance. The aim of this study was to investigate the relationship between efflux pump gene expression and resistance gene mutations in Helicobacter pylori. Twenty-six clinical strains with varying resistance characteristics were selected for further experiment. Seven susceptible strains were induced to become resistant, and the expression of efflux pump genes and point mutations were recorded. Four susceptible strains were selected to undergo candidate mutation construction, and changes in efflux pump gene expression were detected. Efflux pump knockout strains were constructed, and their effects on preventing and reversing antibiotic resistance gene mutations were assessed. Results showed that the expression of efflux pump genes hefA and hefD was significantly higher in the multidrug-resistant group compared to other groups. During the process of antibiotic-induced resistance, efflux pump gene expression did not exhibit a steady increase or decrease. Strains with the A2143G or A2142G point mutations in 23S rRNA exhibited lower hefA gene expression. Strains with mutations at 87K/91N, 87N/91 G, 87K/91D, or 87N/91Y in gyrA and the 194insertA mutation in rdxA showed higher hefA gene expression compared to the wild-type strain. During the process of antibiotic-induced resistance, the strain with the knockout of the efflux pump gene hefA developed mutations in the 23S rRNA, gyrA, or rdxA genes later compared to the wild-type strain. Knockout of the efflux pump gene could reverse the phenotypic resistance to clarithromycin or metronidazole in some strains but had no effect on reverse resistance gene mutation. This study suggested that different resistance gene point mutations may have varying effects on efflux pump gene expression. Knockout of the efflux pump gene can delay or prevent antibiotic resistance gene mutations to some extent and can reverse phenotypic resistance to clarithromycin and metronidazole in certain strains.