ST8SIA6-AS1, a novel lncRNA star in liver cancer.

Liver cancer is one of the most lethal gastrointestinal malignancies. Emerging evidence has underscored the pivotal role of long non-coding RNAs (lncRNAs) in tumorigenesis, with ST8SIA6-AS1 identified as a novel oncogenic lncRNA contributing to liver cancer progression. ST8SIA6-AS1 is consistently upregulated in hepatic cancer tissues and is strongly associated with unfavorable prognosis. Moreover, it demonstrates high diagnostic efficacy in detecting HCC. ST8SIA6-AS1 is involved in various cellular processes including proliferation, migration, and invasion, primarily through its function as a competing endogenous RNA (ceRNA), thereby facilitating hepatocarcinogenesis and disease advancement. This review provides a detailed examination of the molecular functions and regulatory mechanisms of ST8SIA6-AS1 in hepatocellular carcinoma (HCC) and highlights its potential as a promising biomarker for liver cancer, aiming to propel the development of innovative therapeutic strategies for HCC management.

Comprehensive assessment of body mass index effects on short-term and long-term outcomes in laparoscopic gastrectomy for gastric cancer: a retrospective study.

To examine the influence of Body Mass Index (BMI) on laparoscopic gastrectomy (LG) short-term and long-term outcomes for gastric cancer. A retrospective analysis was conducted on gastric cancer patients undergoing LG at the Third Hospital of Nanchang City from January 2013 to January 2022. Based on WHO BMI standards, patients were categorized into normal weight, overweight, and obese groups. Factors such as operative time, intraoperative blood loss, postoperative complications, and overall survival were assessed. Across different BMI groups, it was found that an increase in BMI was associated with longer operative times (average times: 206.22 min for normal weight, 231.32 min for overweight, and 246.78 min for obese), with no significant differences noted in intraoperative blood loss, postoperative complications, or long-term survival among the groups. The impact of BMI on long-term survival following LG for gastric cancer was found to be insignificant, with no notable differences in survival outcome between different BMI groups. Although higher BMI is associated with increased operative time in LG for gastric cancer, it does not significantly affect intraoperative blood loss, postoperative complications, recovery, or long-term survival. LG is a feasible treatment choice for obese patients with gastric cancer.

A degradome-related signature for predicting the prognosis and immunotherapy benefit in stomach adenocarcinoma based on machine learning procedure.

Stomach adenocarcinoma (STAD) is one of the subtype of gastric cancer with high invasiveness, extreme heterogeneity, high morbidity, and high mortality. The degradome is the most abundant class of cellular enzymes that play an essential role in regulating cellular activity and carcinogenesis. An integrative machine learning procedure including 10 methods was performed to develop a prognostic degradome-based prognostic signature (DPS) in TCGA, GSE15459, GSE26253, and GSE62254 datasets. Investigations of the DPS concerning immune infiltration, immunotherapy benefits, and drug priority were orchestrated. The DPS developed by Enet [alpha = 0.3] method was regarded as the optimal prognostic model. The DPS had a stable and powerful performance in predicting the clinical outcome of STAD and served as an independent risk factor in training and testing cohorts. The C-index of DPS was higher than that of age, sex, and clinical stage. STAD patients with low DPS scores had a higher abundance of B cells, CD8+ T cells, higher cytolytic scores, and T cell co-stimulation scores. Moreover, low DPS score indicated a lower tumor immune dysfunction and exclusion score, lower T cell dysfunction and exclusion score, higher PD1&CTLA4 immunophenoscore, and higher tumor mutation burden score in STAD, demonstrating a better immunotherapy response. STAD patients with a high DPS score had a lower IC50 value of common chemotherapy and targeted therapy regimens (Cisplatin, Docetaxel, Gefitinib, etc). Our study developed an optimal DPS for STAD. The DPS could predict the prognosis, risk stratification and guide treatment for STAD patients.

A prognostic nomogram for recurrence survival in post-surgical patients with varicose veins of the lower extremities.

Varicose veins of the lower extremities (VVLEs) are prevalent globally. This study aims to identify prognostic factors and develop a prediction model for recurrence survival (RS) in VVLEs patients after surgery. A retrospective analysis of VVLEs patients from the Third Hospital of Nanchang was conducted between April 2017 and March 2022. A LASSO (Least Absolute Shrinkage and Selection Operator) regression model pinpointed significant recurrence predictors, culminating in a prognostic nomogram. The model's performance was evaluated by C-index, receiver operating characteristic (ROC) curves, calibration plots, and decision curve analysis (DCA). The LASSO regression identified seven predictors for the nomogram predicting 1-, 2-, and 5-year RS. These predictors were age, body mass index (BMI), hypertension, diabetes, the Clinical Etiological Anatomical Pathophysiological (CEAP) grade, iliac vein compression syndrome (IVCS), and postoperative compression stocking duration (PCSD). The nomogram's C-index was 0.716, with AUCs (Area Under the Curve scores) of 0.705, 0.725, and 0.758 for 1-, 2-, and 5-year RS, respectively. Calibration and decision curve analyses validated the model's predictive accuracy and clinical utility. Kaplan-Meier analysis distinguished between low and high-risk groups with significant prognostic differences (P < 0.05). This study has successfully developed and validated a nomogram for predicting RS in patients with VVLEs after surgery, enhancing personalized care and informing clinical decision-making.

Multi-scale feature pyramid fusion network for medical image segmentation.

PURPOSE: Medical image segmentation is the most widely used technique in diagnostic and clinical research. However, accurate segmentation of target organs from blurred border regions and low-contrast adjacent organs in Computed tomography (CT) imaging is crucial for clinical diagnosis and treatment. METHODS: In this article, we propose a Multi-Scale Feature Pyramid Fusion Network (MS-Net) based on the codec structure formed by the combination of Multi-Scale Attention Module (MSAM) and Stacked Feature Pyramid Module (SFPM). Among them, MSAM is used to skip connections, which aims to extract different levels of context details by dynamically adjusting the receptive fields under different network depths; the SFPM including multi-scale strategies and multi-layer Feature Perception Module (FPM) is nested in the network at the deepest point, which aims to better focus the network's attention on the target organ by adaptively increasing the weight of the features of interest. RESULTS: Experiments demonstrate that the proposed MS-Net significantly improved the Dice score from 91.74% to 94.54% on CHAOS, from 97.59% to 98.59% on Lung, and from 82.55% to 86.06% on ISIC 2018, compared with U-Net. Additionally, comparisons with other six state-of-the-art codec structures also show the presented network has great advantages on evaluation indicators such as Miou, Dice, ACC and AUC. CONCLUSION: The experimental results show that both the MSAM and SFPM techniques proposed in this paper can assist the network to improve the segmentation effect, so that the proposed MS-Net method achieves better results in the CHAOS, Lung and ISIC 2018 segmentation tasks.

Characterization of the evolution trajectory and immune profiling of new histologic patterns in lung adenocarcinoma.

In lung adenocarcinoma (LUAD), the appearance of morphologically diverse tumor regions, termed histological patterns, is closely associated with disease progression and lymph node metastasis. However, the molecular characteristics of the histological patterns in LUAD and the underlying molecular evolutionary mechanisms between the histological patterns in primary tumors and lymph node metastases are poorly understood. Here, we re-analyzed the large TCGA-LUAD dataset and depicted a comprehensive profiling of the genome and transcriptome across the histological patterns in LUAD. Tumor phylogenetic trajectory analysis suggested that the complex glands is more apt to metastasize to the lymph node. Further deconvolution of the tumor microenvironment demonstrated that the complex glands had a higher infiltration of cancer-associated fibroblasts (CAFs). Single-cell transcriptome profiling of complex glands pattern identified a novel CAF subtype co-expressing fibroblast activation protein-alpha (FAP) and stimulator of interferon genes (STING). Moreover, our data demonstrated that FAP is an important downstream effector of STING in CAFs. In summary, our results provide the basis for the development of innovative therapeutic guidelines and intervention strategies for LUAD patients.

[One case of gastric duplication cyst withectopic pancreas in adults].

Gastric duplication cyst is a very rare gastrointestinal tract malformation that accounts for 2%-4% of alimentary tract duplications. It is a diagnostic dilemma for doctors because its clinical and radiological manifest is usually nonspecific. At the present stage, it can only rely on surgery. We should pay attention to ectopic pancreas resection and ligation of pancreatic duct during operation. There was one case of gastric duplication cyst with ectopic pancreas in adults from the Second Affiliated Hospital of Nanchang University.

[Laparoscopic-assisted resection for colorectal cancer without incision at abdomen versus traditional laparoscopic resection: A Meta-analysis].

OBJECTIVE: To evaluate the safety, feasibility and effectiveness of laparoscopic-assisted resection of colorectal cancer without incision at abdomen vs the traditional laparoscopic resection.
 Methods: We retrieved literature published from August, 2005 to August, 2015 to compare laparoscopic-assisted resection for colorectal cancer without incision at abdomen with the traditional laparoscopic resection. The clinical indicators were extracted from literature met inclusion criteria. The RevMan 5.3 software with a Meta-analysis was used.
 Results: Seven literature with a total of 621 patients, including 262 in laparoscopic-assisted resection of colorectal cancer without auxiliary incision at abdomen group (NOSE group) and 359 in conventional laparoscopic colorectal resection group (LAP group), were enrolled. The Meta-analysis showed that the total complication rate in the NOSE group was significantly less than that in the LAP group (OR=0.31, 95% CI 0.18 to 0.53, P<0.05). Complications of incision in the NOSE group were less than those in the LAP group (OR= 0.15, 95% CI 0.05 to 0.40, P=0.0002). Postoperative bleeding (OR=1.52, 95% CI 0.38 to 6.18, P=0.55), intestinal obstruction (OR= 0.30, 95% CI 0.09 to 0.98, P=0.05), anastomotic complications (OR=0.92, 95% CI 0.28 to 3.07, P=0.89), and other related complications (OR=0.63, 95% CI 0.23 to 1.66, P=0.35) showed no significant difference between the 2 groups (P>0.05). Hospitalization (MD=-0.66, 95% CI -1.33 to 0.01, P=0.05), duration of surgery (MD=14.78, 95% CI -1.75 to 31.31, P=0.08), bleeding amount (MD=-12.81, 95% CI -40.36 to 14.74, P=0.36), the tumor size (SMD=-0.40, 95% CI -0.87 to 0.08, P=0.10), the number of lymph node dissection (MD=-0.49, 95% CI 1.80 to 0.82, P=0.46), and the recurrence of 2-year follow-up (OR=1.15, 95% CI 0.38 to 3.50, P=0.81) were not statistically significant between the 2 groups. Time of gas passage (SMD=-0.62, 95% CI -0.82 to -0.42, P<0.001) and time of regular diet after surgery (SMD=-0.60, 95% CI -1.15 to 0.05, P=0.03) in the NOSE group were earlier than those in the LAP group. The postoperative pain score (MD=-1.49, 95% CI -1.97 to -1.01, P<0.001) in the NOSE group was significantly lower than that in the LAP group. Cosmetic surgery in the NOSE group had a higher index (MD=1.37, 95% CI 0.59 to 2.14, P=0.0005) compared with that in the LAP group.
 Conclusion: Laparoscopic-assisted resection for colorectal cancer without auxiliary incision at abdomen can obviously reduce the incidence of incision complications, and the patients can recover early and incision is showed more cosmetic. The method is safe, feasible, and effective.

Prognostic Significance of Dickkopf-1 in Gastric Cancer Survival: A Meta-Analysis.

AIMS: The prognostic role of dickkopf-1 (DKK1) in gastric cancer (GC) remains poorly characterized. We performed a meta-analysis to evaluate correlations between DKK1 overexpression and the prognosis of patients with GC. MATERIALS AND METHODS: We included five published studies to assess the relationship between DKK1 and the clinicopathological characteristics and overall survival of GC patients. Literature searches, article selection, data collection, and statistical analysis were performed using RevMan 5.3 software. RESULTS: Our analyses revealed that DKK1 overexpression was significantly associated with vascular invasion (odds ratio [OR] = 2.43, 95% confidence interval [CI] = [1.21, 4.89], p = 0.01, random effect), lymphatic invasion (OR = 2.61, 95% CI = [1.30, 5.24], p = 0.007, random effect), and distant metastasis (OR = 2.99, 95% CI = [1.95, 4.59], p < 0.00001, fixed effect). Moreover, we also found that DKK1 overexpression was significantly associated with poor overall survival in GC patients (risk ratio = 2.67, 95% CI = [2.24, 3.48], p < 0.00001, fixed effect). CONCLUSION: This meta-analysis demonstrated that DKK1 may be a useful prognostic marker for GC.