Ketohexokinase-A deficiency attenuates the proliferation via reducing ß-catenin in gastric cancer cells.

Overconsumption of fructose is closely related to cancer. Ketohexokinase (KHK) catalyzes the conversion from fructose to fructose-1-phosphate (F1P), which is the first and committed step of fructose metabolism. Recently, aberrant KHK activation has been identified in multiple malignancies. However, the roles of KHK in gastric cancer (GC) cells are largely unclear. Herein, we reveal that the expression of ketohexokinase-A (KHK-A), one alternatively spliced KHK isoform that possesses low affinity for fructose, was markedly increased in GC cells. Depletion of endogenous KHK-A expression using lentiviruses encoding short hairpin RNAs (shRNAs) or pharmaceutical disruption of KHK-A activity using KHK-IN-1 hydrochloride in GC NCI-N87 and HGC-27 cells inhibited the proliferation in vitro and in vivo. Additionally, the mitochondrial respiration in the GC cells with KHK-A deficiency compared with the control cells was significantly impaired. One commercially-available antibody array was used to explore the effects of KHK-A knockdown on signaling pathways, showing that ß-catenin was remarkably reduced in the KHK-A deficient GC cells compared with the control ones. Pharmaceutical reduction in ß-catenin levels slowed down the proliferation of GC cells. These data uncover that KHK-A promotes the proliferation in GC cells, indicating that this enzyme might be a promising therapeutical target for GC treatment.

EGLN3 attenuates gastric cancer cell malignant characteristics by inhibiting JMJD8/NF-κB signalling activation independent of hydroxylase activity.

BACKGROUND: The expression of Egl-9 family hypoxia-inducible factor 3 (EGLN3) is notably decreased in various malignancies, including gastric cancer (GC). While the predominant focus has been on the hydroxylase activity of EGLN3 for its antitumour effects, recent findings have suggested nonenzymatic roles for EGLN3. METHODS: This study assessed the clinical significance of EGLN3 expression in GC and explored the connection between EGLN3 DNA promoter methylation and transcriptional silencing. To investigate the effect of EGLN3 on GC cells, a gain-of-function strategy was adopted. RNA sequencing was conducted to identify the key effector molecules and signalling pathways associated with EGLN3. RESULTS: EGLN3 expression was significantly reduced in GC tissues, correlating with poorer patient prognosis. EGLN3 hypermethylation disrupts transcriptional equilibrium, contributing to deeper tumour invasion and lymph node metastasis, thus exacerbating GC progression. Conversely, restoration of EGLN3 expression in GC cells substantially inhibited cell proliferation and metastasis. EGLN3 was also found to impede the malignant progression of GC cells by downregulating Jumonji C domain-containing protein 8-mediated activation of the NF-κB pathway, independent of its hydroxylase activity. CONCLUSIONS: EGLN3 has the potential to hinder the spread of GC cells through a nonenzymatic mechanism, thereby shedding light on the complex nature of GC progression.

The Key Role of Tumor Budding in Predicting the Status of Lymph Node Involvement in Early Gastric Cancer Patients: A Clinical Multicenter Validation in China.

BACKGROUND: Accurate preoperative prediction of lymph node (LN) involvement is essential for the management of early gastric cancer (EGC). Our objective was to formulate a potent nomogram for predicting LN involvement in EGC by leveraging an innovative predictor of tumor budding. METHODS: We assembled a cohort of EGC patients who underwent radical surgery at two tertiary cancer centers. Tumor budding was stratified by using an optimal cutoff value and integrated with other clinicopathological variables to ascertain the risk factors associated with LN involvement. A nomogram was developed and its predictive performance was assessed by using receiver operating characteristic (ROC) curves and calibration plots. In addition, we conducted decision curve analysis to evaluate its clinical utility. Finally, an external validation was conducted by using an independent cohort. RESULTS: Finally, 307 eligible patients (215 in the primary cohort and 92 in the validation cohort) were included. Tumor budding, categorized by a count of two, exhibited a robust association with LN involvement (OR 14.12, p = 0.012). Other significant risk factors include lymphovascular invasion, depth of tumor invasion, ulceration, and tumor differentiation. Notably, the nomogram demonstrated exceptional discriminative power (area under the ROC curve, 0.872 in the primary cohort and 0.885 in the validation cohort) and precise predictive capabilities. Furthermore, the nomogram showed notable clinical applicability through decision curve analysis, particularly in endoscopic curability C-2, by mitigating the risk of overtreatment. CONCLUSIONS: Tumor budding is a robust predictor of LN involvement in EGC. The incorporation of tumor budding into a nomogram is an effective strategy, thereby informing and enhancing clinical decision-making.

Spatially resolved current density distribution in GaN-based flip-chip green mini-LEDs by microscopic hyperspectral imaging and modified two-level modeling.

A modified two-level model is proposed to study the spatially resolved current density distribution of GaN-based green miniaturized light-emitting diodes (mini-LEDs), combining with microscopic hyperspectral imaging. We found that the spatially resolved current density distribution reveals both the radiative and non-radiative recombination mappings, which can also be provided separately by this model. In addition, higher current density is not necessarily correlated with higher photon emission, especially for the regions around the electrode edges, where the high current density suggests current crowding and defect-related non-radiative recombination. The current density distribution of mini-LEDs is further verified by the laser-beam-induced current (LBIC) and the spatially resolved mappings of peak wavelength and FWHM. The modified two-level model also offers radiative/non-radiative mappings and is proved to be beneficial to determine the micro-zone current density distribution and to reveal the intrinsic radiative/non-radiative recombination mechanism of mini-LEDs.

Establishment and validation of a risk score model based on EUS: assessment of lymph node metastasis in early gastric cancer.

BACKGROUND AND AIMS: Lymph node metastasis significantly affects the prognosis of early gastric cancer patients. EUS plays a crucial role in the preoperative assessment of early gastric cancer. This study evaluated the efficacy of EUS in identifying lymph node metastasis in early gastric cancer patients and developed a risk score model to aid in choosing the best treatment options. METHODS: We retrospectively analyzed the effectiveness of EUS for detecting lymph node metastasis in early gastric cancer patients. A risk score model for predicting lymph node metastasis preoperatively was created using independent risk factors identified through binary logistic regression analysis and subsequently validated. Receiver operating characteristic curves were generated for both the development and validation cohorts. RESULTS: The overall accuracy of EUS in identifying lymph node metastasis was 85.3%, although its sensitivity (29.2%) and positive predictive value (38.7%) were relatively low. Patients were categorized based on preoperative risk factors for lymph node metastasis, including tumor size of ≥20 mm, lymph nodes of ≥10 mm, body mass index of ≥24 kg/m2, and lymph node metastasis on CT scans. A 7-point risk score model was developed to assess the likelihood of lymph node metastasis. The areas under the receiver operating characteristic curve for the development and validation sets were 0.842 and 0.837, respectively, with sensitivities of 64% and 79%, respectively. CONCLUSIONS: We developed a practical risk score model based on preoperative factors to help EUS predict lymph node metastasis in early gastric cancer patients, guiding the selection of optimal treatment approaches for these patients.

DEPTOR as a novel prognostic marker inhibits the proliferation via deactivating mTOR signaling pathway in gastric cancer cells.

Aberrantly activated mTOR signaling pathway is commonly found in malignancies including gastric cancer (GC). DEPTOR, as a naturally occurred inhibitor of mTOR, functions in the pro- or anti-tumor manner depending on distinct tumor contexts. However, the roles of DEPTOR in GC remain largely unknown. In this study, DEPTOR expression was identified to be significantly decreased in GC tissues compared with matched normal gastric tissues, and reduced DEPTOR level was indicative of poor prognosis in patients. Restored DEPTOR expression inhibited the propagation in AGS and NCI-N87 cells, whose DEPTOR levels are low, via deactivating mTOR signaling pathway. Likewise, cabergoline (CAB) attenuated the proliferation in AGS and NCI-N87 cells via partially rescuing DEPTOR protein level. Targeted metabolomics analysis showed that several key metabolites, such as l-serine, significantly changed in AGS cells with DEPTOR restoration. These results revealed the anti-proliferation function of DEPTOR in GC cells, suggesting that restored DEPTOR expression using CAB may be a potential therapeutic approach for patients with GC.

Digital printing of shape-morphing natural materials.

We demonstrate how programmable shape evolution and deformation can be induced in plant-based natural materials through standard digital printing technologies. With nonallergenic pollen paper as the substrate material, we show how specific geometrical features and architectures can be custom designed through digital printing of patterns to modulate hygrophobicity, geometry, and complex shapes. These autonomously hygromorphing configurations can be "frozen" by postprocessing coatings to meet the needs of a wide spectrum of uses and applications. Through computational simulations involving the finite element method and accompanying experiments, we develop quantitative insights and a general framework for creating complex shapes in eco-friendly natural materials with potential sustainable applications for scalable manufacturing.

Comparison of short­term outcomes and 3-year overall survival between robotic and laparoscopic gastrectomy for gastric cancer: a propensity score matching analysis.

BACKGROUND: Despite the increasing use of robotic gastrectomy (RG) as an alternative to laparoscopic gastrectomy (LG) in treating gastric cancer, controversy remains over the advantages of RG compared to LG and there is a paucity of studies comparing the two techniques regarding patient survival. METHODS: In this retrospective cohort study, 675 patients undergoing minimally invasive gastrectomy were recruited from January 2016 to January 2018 (LG: n = 567; RG: n = 108). A one-to-one propensity score matching (PSM) analysis was applied to minimize the selection bias due to confounding factors, yielding 104 patients in each of the RG and LG groups. After matching, the short-term outcomes and 3-year overall survival were compared in the two groups. RESULTS: The PSM cohort analysis showed a similar 3-year overall survival between RG and LG groups (p = .249). Concerning the short-term outcomes, the RG compared to LG resulted in lower blood loss (p = .01), lower postoperative complications (p = .001), lower postoperative pain (p = .016), earlier initiation of soft diet (p = .011), shorter hospital stay |(p = .012), but higher hospitalization expenses (p = .001). CONCLUSION: Our findings suggest that RG may offer advantages in terms of blood loss, surgical complications, recovery time, and pain management compared to LG while maintaining similar overall survival rates. However, RG is associated with higher hospital costs, potentially limiting its wider adoption. Further research, including large, multi-center randomized controlled trials with longer patient follow-up, particularly for advanced gastric cancer, is needed to confirm these findings.

Construction and testing of a risk prediction classifier for cardia carcinoma.

OBJECTIVES: This research aimed to construct a prediction model for stages II and III cardia carcinoma (CC), and provide an effective preoperative evaluation tool for clinicians. METHODS: CC mRNA expression matrix was obtained from Gene Expression Omnibus and The Cancer Genome Atlas databases. Non-negative matrix factorization was used to cluster data to obtain subgroup information, and weighted gene co-expression network analysis was used to uncover key modules linked to different subgroups. Gene-set enrichment analysis analyzed biological pathways of different subgroups. The related pathways of multiple modules were scrutinized with Kyoto Encyclopedia of Genes and Genomes. Key modules were manually annotated to screen CC-related genes. Subsequently, quantitative real-time polymerase chain reaction assessed CC-related gene expression in fresh tissues and paraffin samples, and Pearson correlation analysis was performed. A classification model was constructed and the predictive ability was evaluated by the receiver operating characteristic curve. RESULTS: CC patients had four subgroups that were associated with brown, turquoise, red, and black modules, respectively. The CC-related modules were mainly associated with abnormal cell metabolism and inflammatory immune pathways. Then, 76 CC-elated genes were identified. Pearson correlation analysis presented that THBS4, COL14A1, DPYSL3, FGF7, and SVIL levels were relatively stable in fresh and paraffin tissues. The area under the curve of 5-gene combined prediction for staging was 0.8571, indicating good prediction ability. CONCLUSIONS: The staging classifier for CC based on THBS4, COL14A1, DPYSL3, FGF7, and SVIL has a good predictive effect, which may provide effective guidance for whether CC patients need emergency surgery.

Well differentiated carcinoma with a poor prognosis: a retrospective analysis of papillary gastric adenocarcinoma.

PURPOSE: To explore the clinicopathological features and prognosis of papillary gastric adenocarcinoma (PGC). METHODS: The subjects of this retrospective analysis were 1525 patients with gastric cancer in a single center in China. RESULTS: The patients with PGC were generally of advanced age and the tumor was located in the upper 1/3 of the stomach. PGC was well or moderately differentiated, with serosal infiltration, early lymph node metastasis, TNM stages I/II, liver metastasis, and a short postoperative overall survival time. Patients with the secondary pathological type of papillary adenocarcinoma presented with clinicopathological similarities to those with primary PGC. PGC was a risk factor for poor survival in both univariate and multivariate analyses. CONCLUSION: Papillary gastric adenocarcinoma (PGC) showed different clinicopathological characteristics and prognosis to other types of gastric cancer (GC), even if it was not the primary pathological type. The higher the proportion of papillary adenocarcinoma in gastric cancer samples, the shorter the postoperative survival time of patients. PGC needs further multicenter studies.