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.

Effects of a high body mass index on the short-term outcomes and prognosis after radical gastrectomy.

PURPOSE: This study aimed to investigate the effects of a high body mass index (BMI) on the outcomes of radical gastrectomy for gastric cancer. METHODS: We conducted a retrospective cohort study of 1729 patients with stage I to III gastric cancer who received open radical gastrectomy from February 2003 to August 2011. The patients were divided into 3 groups according to their BMI: a low BMI group (BMI < 18.5 kg/m2), normal BMI group (18.5 ≤ BMI < 25 kg/m2), and high BMI group (BMI ≥ 25 kg/m2). RESULTS: A total of 871 patients were included in the final analysis, of which the median BMI was 22.7 kg/m2 (range 13.6-44.9 kg/m2). A high BMI increased the risk of postoperative intestinal fistula but not the risk of a reduced number of examined lymph nodes or hospital death. Furthermore, a high BMI did not negatively affect the overall survival (OS) of gastric cancer patients. CONCLUSIONS: A high BMI increased the operative morbidity after radical gastrectomy for gastric cancer. However, a high BMI did not negatively affect the quality of lymphadenectomy or the OS of gastric cancer patients in experienced high-volume centers. A careful approach during operation and meticulous perioperative management are required for gastric cancer patients with a high BMI.

Superiority of log odds of positive lymph nodes (LODDS) for prognostic prediction after gastric cancer surgery: a multi-institutional analysis of 7620 patients in China.

PURPOSE: To compare the 8th pN system with ratio-based and Log odds of positive lymph nodes (LODDS) staging systems for predicting the overall survival (OS) of gastric cancer (GC) patients after curative gastric resection. METHODS: We analyzed, retrospectively, clinicopathologic and prognostic data from three Chinese medical centers, on 7620 patients who underwent curative surgery for GC. We established a hypothetical tumor-LODDS-metastasis (TLM) and tumor-ratio-metastasis (TRM) staging system. The relative discriminative abilities of the different staging systems were assessed using Akaike's Information Criterion (AIC), a linear trend chi-square test, and a likelihood ratio chi-square test. RESULTS: The cut-off points of the LODDS were set as: ≤ - 1.5, - 1.5 to - 1.0, - 1.0 to - 0.5, - 0.5 to 0, and > 0. There were significant differences in the survival of patients in different LODDS classifications for each pN or LNR group. When stratified by the LODDS classification, the prognosis was more homologous according to the pN or lymph-node ratio (LNR) classifications. The modified TLM staging system had better discriminatory ability and better optimistic prognostic stratification than the 8th TNM or the TRM staging systems for predicting the prognosis of patients with GC. CONCLUSIONS: The LODDS staging system was superior to other lymph-node classifications for predicting the prognosis of patients undergoing gastrectomy GC. LODDS may be incorporated into a GC staging system if these results are confirmed by other studies.

Irisin ameliorates high glucose-induced cardiomyocytes injury via AMPK/mTOR signal pathway.

High glucose (HG)-induced cardiomyocytes (CMs) injury is a leading cause of diabetic cardiomyopathy with little treatment options. Irisin, a new myokine, which is cleaved from its precursor fibronectin type III domain-containing protein 5 (FNDC5), has aroused great attention as an essential cardioprotective factor and glucose metabolism regulator but little was known on diabetic cardiomyopathy yet. Here, we aim to clarify the role of irisin in the HG-induced CMs injury. Neonatal Sprague-Dawley rat CMs were cultured in a normal or HG medium for 12, 24, and 48 hr, respectively before exposing to irisin. The apoptosis level was determined by terminal-deoxynucleotidyl transferase-mediated-dUTP nick end-labeling assay. Cell viability was measured with the conventional methyl thiazolyl tetrazolium assay. Moreover, reactive oxygen species production was evaluated by dihydroethidium staining. Inflammatory factors, namely tumor necrosis factor-α, interleukin-6, interleukin-1ß were determined by enzyme-linked immunosorbent assay kits. Furthermore, protein and messenger RNA (mRNA) expressions were measured by western blot and quantitative real-time polymerase chain reaction, respectively. HG increases the apoptosis of CMs and activated the inflammatory responses and oxidative stress in CMs. Meanwhile, the mRNA and protein expressions of FNDC5 are decreased after HG exposure. Nevertheless, the increased apoptosis is alleviated by irisin treatment. Notably, irisin suppresses the inflammatory responses and oxidative stress in injured CMs. Mechanically, after the administration of Compound C, AMP-activated protein kinase (AMPK) inhibitor, these cardioprotective effects resulting from irisin are reversed. Irisin plays a significant role in antiapoptosis, anti-inflammation, antioxidative stress in HG-induced CMs via AMPK/mammalian target of the rapamycin signaling pathway.

Prognostic impact of D2-plus lymphadenectomy and optimal extent of lymphadenectomy in advanced gastric antral carcinoma: Propensity score matching analysis.

OBJECTIVE: To investigate the prognostic impact of D2-plus lymphadenectomy including the posterior (No. 8p, No. 12b/p, No. 13, and No. 14v), and para-aortic (No. 16a2, and No. 16b1) lymph nodes (LNs) in subtotal gastrectomy for advanced gastric antral carcinoma. METHODS: A total of 203 patients with advanced gastric cancer (GC) located in the antrum, who underwent R0 gastrectomy with D2 or D2-plus lymphadenectomy between January 2003 and December 2011 were enrolled. Propensity score matching was used to reduce the strength of the confounding factors to accurately evaluate prognoses. The therapeutic value index (TVI) was calculate to evaluate the survival benefit of dissecting each LN station. RESULTS: Of 102 patients with D2-plus lymphadenectomy, 21 (20.59%) were pathologically identified as having LN metastases beyond the extent of D2 lymphadenectomy. After matching, the overall survival (OS) was significantly better in the D2-plus than the D2 group (P=0.030). In the multivariate survival analysis, D2-plus lymphadenectomy (hazard ratio, 0.516; P=0.006) was confirmed to significantly improve the survival rate. In the logistic regression analysis, pN stage [odds ratio (OR), 2.533; 95% confidence interval (95% CI), 1.368-4.691; P=0.003] and extent of LNs metastasis (OR, 5.965; 95% CI, 1.335-26.650; P=0.019) were identified as independent risk factors for LN metastases beyond the extent of D2 lymphadenectomy. The TVI of patient with metastasis to LNs station was 7.1 (No. 8p), 5.7 (No. 12p), 5.1 (No. 13), and 7.1 (both No. 16a2 and No. 16b1), respectively. CONCLUSIONS: D2-plus lymphadenectomy may improve the prognoses of some patients with advanced GC located in the antrum, especially for No. 8p, No. 12b, No. 13, and No. 16.

Predictive values of multidetector-row computed tomography combined with serum tumor biomarkers in preoperative lymph node metastasis of gastric cancer.

OBJECTIVE: Multidetector-row computed tomography (MDCT) and serum tumor biomarkers are commonly used to evaluate the preoperative lymph node metastasis and the clinical staging of gastric cancer (GC). This study intends to evaluate the clinical predictive value of MDCT and serum tumor biomarkers in lymph node metastasis of GC. METHODS: The clinicopathologic data of 445 GC patients who underwent radical gastrectomy were retrospectively analyzed to evaluate the diagnostic value of MDCT and serum tumor biomarkers in lymph node metastatic staging of GC before surgery. RESULTS: With the multinomial logistic regression analysis, the independent relative factors of lymph node metastasis of GC were identified as tumor size, depth of tumor invasion, vessel invasion, vascular embolus, and soft tissue invasion. The optimal critical value of the short diameter of lymph nodes detected by MDCT scanning for evaluation of preoperative lymph node metastasis was 6.0 mm, with 75.7% as predictive accuracy of lymph node metastasis compared to the postoperative pathological results of GC patients. In addition, the critical value of the short diameter of lymph nodes combined with serum tumor biomarkers [including carbohydrate antigen (CA)-724 and CA-199] could show an enhancement of predictive sensitivity of lymph node metastasis (up to 89.3%) before surgery. CONCLUSIONS: MDCT combined with serum tumor biomarkers should be adopted to improve preoperative sensitivity and accuracy of lymph node metastasis for GC patients.

Conditional survival of patients with gastric cancer who undergo curative resection: A multi-institutional analysis in China.

BACKGROUND: Conditional survival estimates, which take into consideration the changing risk with increasing survival time, provide a dynamic survival probability and more accurate survival information for clinician decision making. The objective of the current study was to evaluate the conditional disease-specific survival (DSS) for patients with gastric cancer who underwent curative surgery in China. METHODS: In total, 7658 patients with gastric cancer from a multi-institutional cohort in China were included in the analyses. Actuarial DSS was estimated using the Kaplan-Meier method. Three-year conditional DSS (CDS3 ) of patients who had already survived for x years was estimated as CDS3 = DSS(x + 3)/DSS(x). Cox proportional hazards regression analyses were used to identify the factors related to DSS. RESULTS: The 1-year, 3-year, and 5-year actuarial DSS rates were 88.2%, 64.5%, and 54.6%, respectively. By using CDS estimates, the probabilities that patients would remain alive for an additional 3 years given that they had already survived for 1, 3, and 5 years were 66.6%, 80.2%, and 88.3%, respectively. Patients who had unfavorable tumor characteristics diagnosed initially at surgery had the greatest improvement in CDS and the largest survival gap between actuarial DSS and CDS. CONCLUSIONS: The current results indicate that CDS estimates for Chinese patients with gastric cancer who underwent surgery were dynamic and increased with time elapsed. Patients who had unfavorable tumor characteristics had the greatest improvement in CDS. This valuable information could provide more a precise evaluation of long-term prognosis and may serve as an important prognostic index in clinical practice. Cancer 2018;124:916-24. © 2017 American Cancer Society.

Validation of clinical significance of examined lymph node count for accurate prognostic evaluation of gastric cancer for the eighth edition of the American Joint Committee on Cancer (AJCC) TNM staging system.

OBJECTIVE: To validate the necessity of increasing the examined lymph node (ELN) count for enhancing the accuracy of prognostic evaluation of gastric cancer (GC) patients after curative gastrectomy in multiple medical centers of China. METHODS: The clinicopathological data of 7,620 patients who underwent the curative resection for GC between 2001 and 2011 were included to demonstrate whether the ELN count is indispensable for enhancing the accuracy of prognostic evaluation of GC patients after surgery. After a meticulous stratification by using the cut-point survival analysis, all included 7,620 patients were allocated into three groups as: less than 16 (<16), between 16 and 30 (16-30), and more than 30 (>30) ELNs. Survival differences among various subgroups of GC patients were analyzed to assess the impact of the ELN count on the stage migration in accordance with the overall survival (OS) of GC patients. RESULTS: Survival analyses revealed that the ELN count was positively correlated with the OS (P=0.001) and was an independent prognostic predictor (P<0.01) of 7,620 GC patients. Stratum analysis showed that the accuracy of prognostic evaluation could be enhanced when the ELN count was no less than 16 (≥16) for node-negative patients and >30 for node-positive patients. Stage migrations were mainly detected in the various subgroups of patients with specific pN stages as follows: pN0 with 16-30 ELNs (pN016-30) and pN0 with >30 ELNs (pN0 >30), pN0 with <16 ELNs (pN0 <16) and pN1>30, pN1<16 and pN216-30, pN116-30 and pN2>30, pN3a<16 and pN3b16-30, and pN3a<16 and pN3b>30. These findings indicate that increasing the ELN count is a prerequisite to guarantee precisely prognostic evaluation of GC patients. CONCLUSIONS: The ELN count should be proposed to be >30 for acquiring the accurate prognostic evaluation for GC patients, especially for node-positive patients.

Increasing the Number of Examined Lymph Nodes is a Prerequisite for Improvement in the Accurate Evaluation of Overall Survival of Node-Negative Gastric Cancer Patients.

BACKGROUND: This study aims to elucidate whether increasing the number of examined lymph nodes (NELN) is mandatory for the accurate prognosis of node-negative gastric cancer (GC) patients after curative gastrectomy in Eastern countries (China and Japan). METHODS: The clinicopathological data of 2455 GC patients (including 1137 node-negative cases) were included to demonstrate whether a minimum NELN is inevitable for guaranteeing the accurate prognosis of node-negative GC patients after curative gastrectomy. RESULTS: Survival analyses revealed that the NELN significantly positively correlated with overall survival (p < 0.001) and was an independent prognostic predictor (hazard ratio 0.447; p = 0.025) of 1137 node-negative GC patients. Stratum analysis within the Kaplan-Meier method showed that sex, tumor size, and extent of lymphadenectomy did not affect the NELN in predicting the prognosis of all node-negative GC patients. Stage migration was mainly detected in the subgroup of node-negative GC Chinese patients who presented considerably lower mean NELN and more advanced staging than patients from Japan. The NELN was identified as the most intensively independent predictor of prognosis of 600 node-negative GC patients from China, with the smallest Akaike information criterion (176.964) and Bayesian information criterion values (194.552). These findings indicate that increasing the NELN is a prerequisite to guaranteeing precise TNM classification. CONCLUSIONS: The NELN should be considered a mandatory requirement for improving the accuracy of prognostic evaluation of GC patients, especially for advanced-stage patients.

Blood transfusion does not affect survival of gastric cancer patients.

BACKGROUND: To initially assess the impact of perioperative blood transfusions (PBTs) on overall survival of patients underwent curative resection of Ⅰ-Ⅲ TNM stage gastric cancer (GC) using the propensity scoring method. METHODS: The medical records of 1150 GC patients who underwent curative resection in the Tianjin Cancer Hospital between 2003 and 2008 were retrospectively analyzed. Both transfusion and nontransfusion patients were assessed the prognostic differences after surgery using the propensity score analysis. RESULTS: A total of 299 GC patients (26.0%) were administrated the PBT. With the unadjusted analysis, patients with PBT presented older age, more operative blood loss, lower hemoglobin, lower albumin level, and higher risk of the advanced disease. The 5-y survival rate for patients with PBT was 31.0%, which was significantly lower than that (47.9%) of patients without PBT (P < 0.05). However, we demonstrated that there was not any statistical 5-y survival rate difference of between patients with PBT and patients without PBT with the propensity score analysis (31.0% versus 31.3%, P > 0.05). In addition, we also found that PBT was not significantly associated with the increasing risk of mortality (hazard ratio, 1.054; P = 0.628). CONCLUSIONS: PBT could not give rise to the worse prognoses of GC patients.