Short-term outcomes of distal gastrectomy versus total gastrectomy for gastric cancer under enhanced recovery after surgery: a propensity score-matched analysis.

Enhanced recovery after surgery (ERAS) has been used safely and effectively in patients with gastric cancer. Our aim was to evaluate the short-term outcomes of total gastrectomy (TG) versus distal gastrectomy (DG) for gastric cancer under ERAS. A prospectively collected database of 1349 patients with gastric cancer who underwent TG or DG between January 2016 and September 2022 was retrospectively analyzed. Propensity score matching analysis was used at a ratio of 1:1 to reduce confounding effects, and perioperative clinical outcomes were compared between the two groups. The primary outcome was overall postoperative complications (POCs). Secondary outcomes comprised time to bowel function recovery, postoperative hospital stay, mortality, and 30-day readmission rate. Of 1349 identified patients, 296 (21.9%) experienced overall POCs. Before matching, multivariable analysis revealed that age, body mass index, diabetes, operation time, and extent of gastrectomy were independent risk factors for overall POCs. After matching, each group comprised 495 patients, and no significant differences were observed between the groups for all parameters except tumor location. Compared with TG, DG was associated with significantly earlier days to first flatus and to eating a soft diet, and shorter postoperative hospital stay (P < 0.05). The incidence of overall- and severe POCs (Clavien-Dindo grade ≥ IIIa) in the TG group was significantly higher vs. the DG group (P < 0.05). There was no significant difference in the number of days to eating a liquid diet, or mortality and 30-day readmission rates between the groups (P > 0.05). In the subgroup analysis for middle-third gastric cancer, the TG group experienced higher rates of overall- and severe POCs, with a longer postoperative hospital stay. Compared with DG, patients who underwent TG had higher POC rates, slower recovery of bowel function, and longer duration of hospitalization under ERAS. Therefore, caution is needed when initiating early feeding for patients who undergo TG.

Construction and validation of a necroptosis-related lncRNAs prognosis signature of hepatocellular carcinoma.

Background: Immunotherapy has achieved remarkable success in treating advanced liver cancer. Current evidence shows that most of the available immune checkpoint inhibitor (ICB) treatments are suboptimal, and specific markers are needed for patients regarded as good candidates for immunotherapy. Necroptosis, a type of programmed cell death, plays an important role in hepatocellular carcinoma (HCC) progression and outcome. However, studies on the necroptosis-related lncRNA in HCC are scarce. In this view, the present study investigates the link among necroptosis-related lncRNA, prognosis, immune microenvironment, and immunotherapy response. Methods: Gene transcriptome and clinical data were retrieved from The Cancer Genome Atlas database. Pearson correlation analysis of necroptosis-related genes was performed to identify necroptosis-related lncRNAs. The Wilcoxon method was used to detect differentially expressed genes, and prognostic relevant lncRNAs were obtained by univariate Cox regression analysis. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis were utilized to perform functional enrichment analysis. Lasso-Cox stepwise regression analysis was employed to calculate risk score, which was involved in analyzing immune cells infiltration, immune checkpoints expression, and predicting immunotherapeutic efficacy. Quantitative RT-PCR (qRT-PCR) was performed to detect the expression pattern of lncRNA in cell lines. Results: The 10 lncRNAs generated in this study were used to create a prognostic risk model for HCC and group patients into groups based on risk. High-risk patients with HCC have a significantly lower OS rate than low-risk patients. Multivariate Cox regression analysis showed that risk score is an independent risk factor for HCC with high accuracy. Patients in the high-risk group exhibited a weaker immune surveillance and higher expression level of immune checkpoint molecules. In terms of drug resistance, patients in the low-risk group were more sensitive to sorafenib. The OS-related nomogram was constructed to verify the accuracy of our model. Finally, quantitative RT-PCR experiments were used to verify the expression patterns of candidate genes. Conclusion: The lncRNA signature established herein, encompassing 10 necroptosis-related lncRNAs, is valuable for survival prediction and holds promise as prognostic markers for HCC.

Multimodal affine registration for ICGA and MCSL fundus images of high myopia.

The registration between indocyanine green angiography (ICGA) and multi-color scanning laser (MCSL) imaging fundus images is vital for the joint linear lesion segmentation in ICGA and MCSL and the evaluation whether MCSL can replace ICGA as a non-invasive diagnosis for linear lesion. To our best knowledge, there are no studies focusing on the image registration between these two modalities. In this paper, we propose a framework based on convolutional neural networks for the multimodal affine registration between ICGA and MCSL images, which contains two parts: coarse registration stage and fine registration stage. In the coarse registration stage, the optic disc is segmented and its centroid is used as a matching point to perform coarse registration. The fine registration stage regresses affine parameters directly using jointly supervised and weakly-supervised loss function. Experimental results show the effectiveness of the proposed method, which lays a sound foundation for further evaluation of non-invasive diagnosis of linear lesion based on MCSL.