Elesclomol Loaded Copper Oxide Nanoplatform Triggers Cuproptosis to Enhance Antitumor Immunotherapy.

The induction of cuproptosis, a recently identified form of copper-dependent immunogenic cell death, is a promising approach for antitumor therapy. However, sufficient accumulation of intracellular copper ions (Cu2+) in tumor cells is essential for inducing cuproptosis. Herein, an intelligent cuproptosis-inducing nanosystem is constructed by encapsulating copper oxide (CuO) nanoparticles with the copper ionophore elesclomol (ES). After uptake by tumor cells, ES@CuO is degraded to release Cu2+ and ES to synergistically trigger cuproptosis, thereby significantly inhibiting the tumor growth of murine B16 melanoma cells. Moreover, ES@CuO further promoted cuproptosis-mediated immune responses and reprogrammed the immunosuppressive tumor microenvironment by increasing the number of tumor-infiltrating lymphocytes and secreted inflammatory cytokines. Additionally, combining ES@CuO with programmed cell death-1 (PD-1) immunotherapy substantially increased the antitumor efficacy in murine melanoma. Overall, the findings of this study can lead to the use of a novel strategy for cuproptosis-mediated antitumor therapy, which may enhance the efficacy of immune checkpoint inhibitor therapy.

Machine Learning Radiomics Liver Function Model for Prognostic Prediction After Radical Resection of Advanced Gastric Cancer: A Retrospective Study.

PURPOSE: We aimed to establish a machine learning radiomics liver function model to explore how liver function affects the prognosis of patients with gastric cancer (GC). METHODS: Patients with advanced GC were retrospectively enrolled in this study. Eight machine learning radiomic models were constructed by extracting radiomic features from portal-vein-phase contrast-enhanced computed tomography (CE-CT) images. Clinicopathological features were determined using univariate and multifactorial Cox regression analyses. These features were used to construct a GC survival nomogram. RESULTS: A total of 510 patients with GC were split into training and test cohorts in an 8:2 ratio. Kaplan-Meier analysis showed that patients with type I liver function had a better prognosis. Fifteen significant features were retained to establish the machine learning model. LightBGM showed the best predictive performance in the training (area under the receiver operating characteristic curve [AUC] 0.978) and test cohorts (AUC 0.714). Multivariate analysis revealed that gender, age, liver function, Nutritional Risk Screening 2002 (NRS-2002) score, tumor-lymph node-metastasis stage, tumor size, and tumor differentiation were independent risk factors for GC prognosis. The survival nomogram based on machine learning radiomics, instead of liver biochemical indicators, still had high accuracy (C-index of 0.771 vs. 0.773). CONCLUSION: The machine learning radiomics liver function model has high diagnostic value in predicting the influence of liver function on prognosis in patients with GC.

LncRNA FBXO18-AS promotes gastric cancer progression by TGF-ß1/Smad signaling.

For the digestive system, there exists one common malignant tumor, known as gastric cancer. It is the third most prevalent type of tumor among different tumors worldwide. It has been reported that long noncoding RNAs (lncRNAs), participate in various biological processes of gastric cancer. However, there are still many lncRNAs with unknown functions, and we discovered a novel lncRNA designated as FBXO18-AS. Whether lncRNAFBXO18-AS participates in gastric cancer progression is still unknown. Bioinformatic analysis, immunohistochemistry, Western blotting, and qPCR were carried out to explore FBXO18-AS and TGF-ß1 expression. In addition, EdU, MTS, migration and transwell assays were performed to investigate the invasion, proliferation and migration of gastric cancer in vitro. We first discovered that FBXO18-AS expression was upregulated in gastric cancer and linked to poorer outcomes among patients with gastric cancer. Then, we confirmed that FBXO18-AS promoted the proliferation, invasion, migration, and an EMT-like process in gastric cancer in vivo and in vitro. Mechanistically, FBXO18-AS was found to be involved in the progression of gastric cancer by modulating TGF-ß1/Smad signaling. Therefore, it might offer a possible biomarker for gastric cancer diagnosis and an effective strategy for clinical treatment.

Genomic instability-related twelve-microRNA signatures for predicting the prognosis of gastric cancer.

Gastric cancer (GC) ranks fifth among all malignant tumors globally, especially in East Asia, and has attracted extensive attention and research. MicroRNA (miRNA) modulation during genomic instability (GI) may be associated with the development and metastasis of malignant tumors. We aimed to identify GI-related miRNA signatures for the prediction of GC prognosis. We constructed a GI-related miRNA signature (GIMiSig) scheme based on The Cancer Genome Atlas (TCGA) training set (n = 389), which was later verified based on the TCGA test set (n = 194). GI-related miRNAs were identified by analyzing somatic mutation profiles and miRNA expression. A GI-related miRNA-gene co-expression network was also constructed. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were analyzed to reveal possible biological pathways associated with GI-related miRNAs. The correlation of the GIMiSig with clinical factors of the TCGA dataset was analyzed. MiRNA mimics and inhibitors were used to evaluate the biological functions of miR-100-5p and miR-145-3p in GC cell lines AGS and MKN-45. This study identified a GI-related 12-miRNA signature for the prediction of GC prognosis. GIMiSig scores, similar to tumor stages, showed significant correlations with overall survival (OS, p < 0.05). GIMiSig showed high accuracy in predicting GC prognosis. MiR-100-5p and miR-145-3p promoted cell growth, invasion, and migration but inhibited apoptosis in GC cells. We report a reliable GI-related 12-miRNA signature for predicting GC prognosis. Furthermore, miR-100-5p and miR-145-3p may promote GC cell growth, invasion, and migration.

Butyrate Inhibits Gastric Cancer Cells by Inducing Mitochondriamediated Apoptosis.

BACKGROUND: Gastric cancer (GC) remains a common cause of cancer death in East Asia. Current treatment strategies for GC, including medical and surgical interventions, are suboptimal. Butyrate, a short-chain fatty acid produced by the intestinal flora, has been reported to be able to inhibit gastric carcinogenesis. This study aimed to investigate the effects of butyrate on human GC and its underlying mechanisms. MATERIALS AND METHODS: Human GC cell lines BGC-823 and SGC-7901, human GC tissues and adjacent normal tissues were used for this study. Cell proliferation was assessed using CCK-8 and EdU staining. TUNEL fluorescence and Annexin V/PI staining were adopted for qualitative and quantitative evaluation of cell apoptosis, respectively. Reactive oxygen species (ROS) assay was performed to analyse mitochondrial function. Real-time q-PCR and western blot were carried out to examine the expression of apoptosis-related genes and the synthesis of apoptosis-related proteins. The association between G protein-coupled receptor 109a (GPR109a) and GC prognosis was analyzed using data from The Cancer Genome Atlas (TCGA). RESULTS: CCK-8 and EdU staining confirmed inhibitory activities of butyrate against human GC cells. Annexin V/PI staining and TUNEL fluorescence microscopy showed that butyrate promoted GC cell apoptosis. No difference in the expression of GPR109a was found between GC tissues and adjacent normal tissues, and no direct association between GPR109a and GC prognosis was discovered, suggesting that GPR109a may not be a key factor mediating the apoptosis of GC cells. Butyrate increased the synthesis of caspase 9 and decreased BCL-2, the well-known effector and regulator of mitochondria-mediated apoptosis, and significantly induced mitochondrial ROS. CONCLUSION: Collectively, our results suggest that butyrate is able to inhibit the proliferation of GC cells and induce GC apoptosis, possibly via a mitochondrial pathway.

Immunogenomic Landscape and Immune-Related Gene-Based Prognostic Signature in Asian Gastric Cancer.

BACKGROUND: Asians have the highest incidence of gastric cancer (GC), and the prognosis of Asian GC is poor. Furthermore, the therapeutics for Asian GC is limited because of genetic heterogeneity and screening difficulty at the early stage. This study aimed to develop an immune-related gene (IRG)-based prognostic signature and to explore prognosis-related regulatory mechanism and therapeutic target for Asian GC. METHODS: To elucidate the prognostic value of IRGs in Asian GC, a comprehensive analysis of IRG expression profiles and overall survival times in 364 Asian GC patients from the Asian Cancer Research Group (ACRG) and The Cancer Genome Atlas (TCGA) databases was performed, and a novel prognostic index was established. To further explore regulatory prognosis mechanisms and therapeutic targets, a tumor immunogenomic landscape analysis, including stromal and immune subcomponents, cell types, panimmune gene sets, and immunomodulatory genes, was performed. RESULT: Our analysis allowed the creation of an optimal risk assessment model, the Asian-specific IRG-based prognostic index (ASIRGPI), which showed a high accuracy in predicting survival in Asian GC. We also developed an ASIRGPI-based nomogram to predict the 3- and 5-year overall survival (OS) of Asian GC patients. The impact of the ASIRGPI on the worse prognosis of Asian GC was possibly related to the stromal component remodeling. Specifically, TGFß gene sets were significantly associated with the ASIRGPI and worse prognosis. Immunomodulatory gene analysis further revealed that TGFß1 and EDNRB may be the novel potential therapeutic targets for Asian GC. CONCLUSIONS: As a tumor microenvironment-relevant gene set-based prognostic signature, the ASIRGPI model provides an effective approach for evaluating the prognosis of Asian GC and may even prolong OS by enabling the selection of individualized therapy with the novel targets.

Immune-Related Nine-MicroRNA Signature for Predicting the Prognosis of Gastric Cancer.

Recent findings have demonstrated the superiority and utility of microRNAs (miRNAs) as new biomarkers for cancer diagnosis, therapy, and prognosis. In this study, to explore the prognostic value of immune-related miRNAs in gastric cancer (GC), we analyzed the miRNA-expression profiles of 389 patients with GC, using data deposited in The Cancer Genome Atlas database. Using a forward- and backward-variable selection and multivariate Cox regression analyses model, we identified a nine-miRNA signature (the "ImmiRSig," consisting of miR-125b-5p, miR-99a-3p, miR-145-3p, miR-328-3p, miR-133a-5p, miR-1292-5p, miR-675-3p, miR-92b-5p, and miR-942-3p) in the training cohort that enabled the division of patients into high- and low-risk groups with significantly different survival rates. The ImmiRSig was successfully validated with an independent test cohort of 193 GC patients. Univariate and multivariate Cox regression analyses indicated that the ImmiRSig would serve as an independent prognostic factor after adjusting for other clinical covariates. Pending further prospective validation, the identified ImmiRSig appears to have significant clinical importance in terms of improving outcome predictions and guiding personalized treatment for patients with GC. Finally, significant associations between the ImmiRSig and the half-maximal inhibitory concentrations of chemotherapeutic agents were observed, suggesting that ImmiRSig may predict the clinical efficacy of chemotherapy.

Short-chain fatty acid butyrate: A novel shield against chronic gastric ulcer.

Butyrate is one of the most abundant short-chain fatty acids produced by intestinal bacteria. In the present study, the action of butyrate on chronic gastric mucosa lesions was investigated, as well as its underlying mechanism in mice. Male mice from the Institute of Cancer Research were randomly divided into three groups: Sham, model and butyrate groups. Butyrate was administered intragastrically for 7 days to butyrate group mice following the establishment of a gastric ulcer model. Hematoxylin and eosin staining, immunohistochemical analysis, enzyme-linked immunosorbent assay and quantitative polymerase chain reaction were used to determine the therapeutic effects and molecular mechanism of butyrate treatment. The findings demonstrated that butyrate induced a marked shift in superoxide dismutase and catalase activities, along with a decrease in malondialdehyde levels, thereby attenuating oxidative stress. Furthermore, butyrate decreased the levels of pro-inflammatory cytokines interleukin-1ß, tumour necrosis factor-α and leukotriene B4, which helped combat inflammatory responses. Moreover, butyrate treatment exerted remarkable positive influences that mediate an increase in 6-keto-PGF-1α (a degradation product of prostacyclin), trefoil factor 2, MUC5AC and fibroblast growth factor-7 levels to promote gastric mucosal repair. The expression of specific receptor GPR109A for butyrate was upregulated, with no significant difference noted in the expression of GPR43 or GPR41. Overall, the present findings revealed that butyrate exerted therapeutic effects by upregulating mucosal repair factors and stimulating protective responses against oxidation and inflammation. GPR109A may be the key receptor for butyrate therapy.

A Meta-Analysis of Microbial Therapy Against Metabolic Syndrome: Evidence From Randomized Controlled Trials.

Background and aims: Metabolic syndrome (MetS), accompanied with significant intestinal dysbiosis, causes a great public health burden to human society. Here, we carried out a meta-analysis to qualify randomized controlled trials (RCTs) and to systematically evaluate the effect of microbial therapy on MetS. Methods and results: Forty-two RCTs were eligible for this meta-analysis after searching the PubMed, Cochrane, and Embase databases. Pooled estimates demonstrated that treatment with microbial therapy significantly reduced the waist circumference (WC) (SMD = -0.26, 95% CI -0.49, -0.03), fasting blood glucose (FBG) (SMD = -0.35, 95% CI -0.52, -0.18), total cholesterol (TC) (SMD = -0.36, 95% CI -0.55, -0.17), low-density lipoprotein cholesterol (LDL-C) (SMD = -0.42, 95% CI -0.61, -0.22), and triacylglycerol (TG)(SMD = -0.38, 95% CI -0.55, -0.20), but increased the high-density lipoprotein cholesterol (HDL-C) (SMD = 0.28, 95% CI.03, 0.52). Sensitivity analysis indicated that after eliminating one study utilizing Bifidobacteriumlactis, results became statistically significant in diastolic blood pressure (DBP) (SMD = -0.24, 95% CI -0.41, -0.07) and in Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) (SMD = -0.28, 95% CI -0.54, -0.03), while the body mass index (BMI) showed significant difference after eliminating one study utilizing oat bran (SMD = -0.16, 95% CI -0.31, -0.01). There was still no significant effect in systolic blood pressure (SBP) and in hemoglobin A1c (HbA1c%). Conclusion: In patients with MetS, the conditioning with microbial therapy notably improves FBG, TC, TG, HDL-C, LDL-C, WC, BMI (except for the study using oat bran), HOMA-IR, and DBP (except for the Study using Bifidobacteriumlactis), however, with no effect in SBP and in HbA1c%.

Efficacy of the Preoperative Albumin-Bilirubin Grade for Predicting Survival and Outcomes of Postoperative Chemotherapy for Advanced Gastric Cancer.

PURPOSE: The liver function index can predict the prognosis of hepatocellular carcinoma and many other non-neoplastic diseases. We aimed to determine whether the preoperative albumin-bilirubin (ALBI) grade could predict the prognosis of patients with gastric cancer (GC). PATIENTS AND METHODS: Data of 243 patients with GC who underwent radical resection were collected retrospectively. Patients were divided into the high ALBI (>-2.34) and low ALBI (≤-2.34) grade groups. Overall survival was analyzed between the two groups using the Kaplan-Meier curves. Univariate and multivariate analyses identified the independent factors associated with postoperative complications and overall survival. RESULTS: The postoperative complication rates were higher in the high ALBI grade group than in the low ALBI grade group (P=0.005). The high ALBI grade group also had worse overall survival (P<0.001), especially TNM stage II-III patients (stage II, P=0.043; stage III, P<0.001). In the high ALBI grade group, patients with TNM stage III not undergoing chemotherapy had significantly worse survival times (P=0.001). High ALBI grade (P=0.032), Charlson score of 1-2 (P=0.007), and laparotomy surgery (P=0.045) were independent risk factors for postoperative complications. High ALBI grade (P=0.005), age ≥70 years (P=0.002), nutritional risk screening score 2002 score of 5-6 (P=0.019), tumor located in the cardia (P=0.020), diffuse tumor (P<0.001), and TNM stage III (P<0.001) were independent risk factors for overall survival. CONCLUSION: Preoperative ALBI grade could predict postoperative complications and overall survival of patients with GC, especially those with TNM stages II-III. This grading method has the advantages of preoperative availability, simplicity, and objectivity and aids in improving preoperative prognosis prediction and in achieving better outcomes of postoperative chemotherapy.

Overexpression of the human cytomegalovirus UL111A is correlated with favorable survival of patients with gastric cancer and changes T-cell infiltration and suppresses carcinogenesis.

PURPOSE: We previously found that human cytomegalovirus (HCMV) infection is associated with gastric cancer (GC) development. UL111A plays a role during HCMV productive or latent infection. However, UL111A expression profiles in GC tissues and their relationship with this disease are unknown. METHODS: PCR and nested RT-PCR were performed to verify UL111A expression in 71 GC tissues and its transcripts in 16 UL111A-positive GC samples. UL111A expression levels in GC patients were evaluated by immunohistochemistry on a tissue microarray for 620 GC patients. The correlations among UL111A expression levels, clinicopathological characteristics, and prognosis were analyzed. Further, the effects of overexpression of latency-associated viral interleukin-10 (LAcmvIL-10) and cmvIL-10 on GC cell proliferation, colony formation, migration, and invasion were assessed. RESULTS: The UL111A detection rate in GC tissues was 32.4% (23/71) and that of its mRNA expression was 68.75% (11/16). High expression of UL111A was also related to better overall and disease-free survival in GC patients. GC patients with TNM II/III stage expressing higher UL111A levels might benefit from adjuvant chemotherapy (ACT) after surgery. Moreover, high UL111A expression was also associated with increased CD4+ , CD8+ T-lymphocyte and Foxp3+ T-cell infiltration. In vitro assays further demonstrated that LAcmvIL-10 and cmvIL-10 overexpression inhibits GC cell line proliferation, colony formation, migration, and invasion. CONCLUSIONS: High UL111A expression changes the number of infiltrating T cells and is associated with favorable survival. Therefore, UL111A could be used as an independent prognostic biomarker and might be a potential therapeutic target for GC.

Concordance Between Watson for Oncology and Multidisciplinary Teams in Colorectal Cancer: Prognostic Implications and Predicting Concordance.

BACKGROUND: Watson for Oncology (WFO) is a cognitive computing system that provides clinical decision support. This study examined the concordance between the treatment recommendations for colorectal cancer (CRC) proposed by WFO and those recommended by the multidisciplinary teams (MDTs), and evaluated the influence of concordance on the prognosis. METHODS: We retrospectively collected 175 patients with colorectal cancer who received treatment recommended by MDTs at a hospital in China, and evaluated them using WFO. Concordance between the two recommendations was analyzed. The overall survival was analyzed between concordant and non-concordant groups. Logistic regression analyses were performed and a concordance-predicting model was developed. RESULTS: Concordance between WFO' and MDTs' recommendations occurred in 66.9% (117/175) of cases. The overall survival (OS) was significantly better in concordant group and non-concordance was found to be an independent prognostic factor [hazard ratio (HR)=2.784 (95% CI 1.264-6.315)]. Logistic regression analyses determined that tumor type [odds ratio (OR)= 2.195 for left colon cancer and OR=2.502 for rectum cancer], and TNM stage (OR=0.545 for stage II, OR=0.187 for stage III, OR=0.127 for stage IV) were independently related with concordance, which were used to develop a concordance-predictive-nomogram. CONCLUSIONS: Treatment recommendations for patients with colorectal cancer determined by WFO and MDTs were mostly concordant. However, the survival was better among concordant patients and non-concordance was found to be an independent prognostic factor. This study presents a nomogram that can be conveniently used for predicting individualized concordance. However, our findings should be prospectively validated in multi-center trials.

RKI-1447 suppresses colorectal carcinoma cell growth via disrupting cellular bioenergetics and mitochondrial dynamics.

Accumulated evidence suggested the importance of the Rho/Rho-kinase (ROCK) signaling pathway in cancer proliferation and invasion. However, its role in colorectal carcinoma (CRC) is not well understood. This study evaluated the effect of ROCK signaling pathway on CRC behavior on the basis of a novel Rho/ROCK inhibitor RKI-1447. Here, we found RKI-1447 could drastically suppress HCT-8 and HCT-116 cell growth and promoted apoptosis. Our in vitro data indicated suppressed cytoskeletal dynamics induced by RKI-1447 inhibition on mitochondrial respiration, which was evidenced by basal and maximal respiration rates, and ATP production. Simultaneously, cellular basal and maximal glycolytic rates, and glycolytic capacity were also reduced in response to RKI-1447. Moreover, RKI-1447 caused excessive reactive oxygen species generation and membrane depolarization as well as activated ER-stress. We also demonstrated CHOP is essential for RKI-1447 induced cell apoptosis. Finally, we proved inhibition of ROCK by RKI-1447 could effectively inhibit CRC growth in vivo. Taken together, this study demonstrated that inhibition of ROCK signaling pathway by RKI-1447 could suppress CRC via cytoskeleton associated mitochondrial dysfunction and cellular bioenergetics disruption. Our data suggest RKI-1447 may be an attractive antitumor drug candidate for the treatment of CRC.

Controlling Nutritional Status (CONUT) Score Is A Predictor Of Post-Operative Outcomes In Elderly Gastric Cancer Patients Undergoing Curative Gastrectomy: A Prospective Study.

PURPOSE: The Controlling Nutritional Status (CONUT) score is a recently developed measure that is calculated using the serum albumin level, total cholesterol level, and lymphocyte counts. The aim of this study was to examine whether the CONUT score can predict post-operative outcomes in elderly patients undergoing curative gastrectomy. PATIENTS AND METHODS: Pre-operative CONUT scores were evaluated from August 2014 to September 2016 in 357 gastric cancer patients who were scheduled to undergo curative gastrectomy. The patients were divided into three groups according to pre-operative CONUT scores: normal, light, moderate, and severe. We then calculated the association between the patient's CONUT score and post-operative complications. RESULTS: CONUT scores were statistically associated with age (P = 0.015), body mass index (P < 0.001), pre-operative hemoglobin level (P < 0.001), tumor-node-metastasis stage (P < 0.001), surgical method (P = 0.036), and post-operative complications (P < 0.001). Multivariate analysis showed that age and the CONUT score were independent predictors of post-operative complications and 1-year survival. CONCLUSION: CONUT scores can be used to predict post-operative complications and 1-year survival in elderly gastric cancer patients undergoing curative gastrectomy. They can also be used to classify the nutritional status of patients, which can be helpful for pre-and post-operative nutritional management.

microRNA-33a prevents epithelial-mesenchymal transition, invasion, and metastasis of gastric cancer cells through the Snail/Slug pathway.

Invasion and metastasis are responsible for the majority of deaths in gastric cancer (GC). microRNA-33a (miR-33a) might function as a tumor suppressor in multiple cancers. Here, we describe the regulation and function of miR-33a in GC and mechanisms involved in epithelial-mesenchymal transition (EMT) and metastasis. First, GC tissues and adjacent normal tissues were collected. miR-33a upregulation or SNAI2 depletion on GC cells were introduced to assess the detailed regulatory mechanism of them. We assessed the expression of miR-33a, SNAI2, Snail/Slug signaling pathway-related genes, and EMT-related markers in GC tissues and cells. miR-33a distribution in GC tissues and adjacent normal tissues was measured. Cell proliferation, migration and invasion, and cell cycle distribution were assessed. In nude mice, GC tumor growth and lymph node metastasis were observed. Furthermore, the predicative value of miR-33a in the prognosis of GC patients was evaluated. The obtained results indicated that lowly expressed miR-33a, highly expressed SNAI2, activated Snail/Slug, and increased EMT were identified in GC tissues. miR-33a was located mainly in the cytoplasm. miR-33a targeted and negatively regulated SNAI2. MKN-45 and MKN-28 cell lines were selected for in vitro experiments. Upregulated miR-33a expression or siRNA-mediated silencing of SNAI2 suppressed the activation of Snail/Slug, whereby GC cell proliferation, invasion and migration, EMT, tumor growth, and lymph node metastasis were inhibited. High expression of miR-33a was a protective factor influencing the prognosis of GC. This study suggests that miR-33a inhibited EMT, invasion, and metastasis of GC through the Snail/Slug signaling pathway by modulating SNAI2 expression.NEW & NOTEWORTHY miR-33a targets and inhibits the expression of SNAI2, overexpression of SNAI2 activates the Snail/Slug signaling pathway, the Snail/Slug signaling pathway promotes GC cell proliferation, invasion, and metastasis, and overexpression of miR-33a inhibits cell proliferation, invasion, and metastasis. This study provides a new therapeutic target for the treatment of GC.

Low periostin expression predicts poor survival in intestinal type gastric cancer patients.

BACKGROUND AND AIM: Periostin is a protein from the Fascilin family. It is commonly present in normal tissues and is responsible for cell adhesion. Evidence has emerged showing that changes in periostin expression play an important role in tumor initiation, development, and progression. This study aims to investigate the effect of periostin in gastric cancer (GC) patients who underwent gastrectomy. Seven hundred and forty-seven GC patients who underwent gastrectomy between December 2006 and July 2011 were included in this study. METHODS: Seven hundred and forty-seven cancer tissues and 70 paired adjacent normal tissues were collected. Periostin expression was evaluated by immunohistochemistry. The Gene Expression Omnibus database was used to study the association between the mRNA level and patient's overall survival. The tumor microenvironment was also studied. RESULTS: Periostin expression in stroma was downregulated in tumor tissues but it was upregulated in the epithelial cells. After dividing the tissues according to the Lauren Classification, we found that periostin expression in stroma and epithelial cells was higher in intestinal type than in diffuse type (P<0.001 and P=0.010, respectively). Periostin was an independent predictor of lymph node (LN) metastasis in GC patients. The study of CD163(+) tumor-associated macrophages (TAMs) revealed that in diffuse type GC, periostin expression was associated with CD163(+) TAMs. CONCLUSION: We found that the periostin expression can predict LN metastasis in patients undergoing curative gastrectomy. Intestinal type GC patients with high periostin level had both a favorable survival and lesser LN metastasis.

miR-135b-5p promotes gastric cancer progression by targeting CMTM3.

CKLF-like MARVEL transmembrane domain containing 3 (CMTM3) is considered to be a tumor suppressor gene in multiple types of malignancies. Previous studies have indicated that CMTM3 suppresses metastasis and epithelial-mesenchymal transition (EMT) in gastric cancer. However, its role in gastric cancer cell proliferation has rarely been discussed. Moreover, the regulatory mechanisms of CMTM3 in gastric cancer remain unclear. In this study, RT­qPCR and IHC were used to assess the expression of CMTM3 and miR­135b­5p in gastric cancer tissues and cell lines. We found that the expression of miR­135b­5p was negatively associated with CMTM3 in gastric cancer tissues, and we verified that miR­135b­5p directly targeted CMTM3 in gastric cancer cells by dual-luciferase reporter assay. CCK8 assay, Transwell assay and flow cytometric analysis were conducted to examine the functions of CMTM3 and miR­135b­5p in vitro. Our results demonstrated that the overexpression of CMTM3 or the suppression of miR­135b­5p using an inhibitor suppressed SGC­7901 gastric cancer cell proliferation, invasion and cell cycle progression, and promoted SGC­7901 cell apoptosis. Furthermore, a BALB/c nude mouse subcutaneous xenograft model was used to verify the function of miR­135b­5p and CMTM3. Our results revealed that miR­135b­5p inhibitor significantly suppressed SGC­7901 cell tumorigenesis in vivo. In addition, IHC revealed that CMTM3 expression was markedly increased in tumors infected with miR­135b­5p inhibitor lentivirus. On the whole, the findings of the present study suggest that the overexpression of miR­135b­5p inhibits CMTM3 expression, and promotes gastric cancer progression and metastasis. Our findings provide a novel therapeutic target for gastric cancer.

Gait speed predicts post-operative medical complications in elderly gastric cancer patients undergoing gastrectomy.

BACKGROUND: Gait speed is a clinical outcome that can measure the physical performance of elderly gastric patients. The purpose of this study was to determine the importance of gait speed in predicting post-operative morbidities in elderly patients undergoing curative gastrectomy. METHODS: We conducted a prospective study of 357 elderly patients (≥65 years old) undergoing curative gastrectomy. Preoperative gait speed was measured in a 6-m well-lit and unobstructed hallway. Patients were followed up for the post-operative clinical outcomes. Factors contributing to the post-operative morbidities were analysed using univariate and multivariate analyses. RESULTS: Slow gait speed was present in 95 out of 357 patients (26.61%) which was significantly associated with age (P < 0.001), gender (P = 0.016), plasma albumin (P < 0.001), American Society of Anesthesiologists grade (P = 0.012), tumour-node-metastasis grade (P = 0.007), sarcopenia (P < 0.001), handgrip (P < 0.001) and post-operative medical complications (P = 0.022). In univariate analysis, age (P = 0.015) and slow gait speed (P = 0.029) were risk factors of post-operative complications. In multivariate analysis, we found that age (P < 0.001) and slow gait speed (P = 0.029) were independent predictors of post-operative medical complications. CONCLUSION: Slow gait speed is an independent predictor of post-operative medical complications in elderly patients undergoing curative gastrectomy. Those patients should be managed with appropriate perioperative nutritional support and physical exercise which can improve gait speed and reduce the risk of post-operative medical complications.

Depletion of telomerase RNA inhibits growth of gastrointestinal tumors transplanted in mice.

AIM: To explore effects of telomerase RNA-targeting phosphorothioate antisense oligodeoxynucleotides (PS-ASODN) on growth of human gastrointestinal stromal tumors transplanted in mice. METHODS: A SCID mouse model for transplantation of human gastrointestinal stromal tumors (GISTs) was established using tumor cells from a patient who was diagnosed with GIST and consequently had been treated with imatinib. GIST cells cultured for 10 passages were used for inoculation into mice. Transfection of PS-ASODN was carried out with Lipotap Liposomal Transfection Reagent. GISTs that subsequently developed in SCID mice were subjected to intra-tumoral injection once daily from day 7 to day 28 post-inoculation, and mice were divided into the following four groups according to treatment: PS-ASODN group (5.00 µmoL/L of oligonucleotide, each mouse received 0.2 mL once daily); imatinib group (0.1 mg/g body weight); liposome negative control group (0.01 mL/g); and saline group (0.01 mL/g). On day 28, the mice were sacrificed, and tumor attributes including weight and longest and shortest diameters were measured. Tumor growth was compared between treatment groups, and telomerase activity was measured by enzyme-linked immunosorbent assay. Apoptosis was examined by flow cytometry. Real-time polymerase chain reaction was used to detect expression of the mRNA encoding the apoptosis inhibition B-cell leukemia/lymphoma 2 (bcl-2) gene. RESULTS: In the PS-ASODN group, tumor growth was inhibited by 59.437%, which was markedly higher than in the imatinib group (11.071%) and liposome negative control group (2.759%) [tumor inhibition = (mean tumor weight of control group--mean tumor weight of treatment group)/(mean tumor weight of control group) × 100%]. Telomerase activity was significantly lower (P < 0.01) in the PS-ASODN group (0.689 ± 0.158) compared with the imatinib group (1.838 ± 0.241), liposome negative control group (2.013 ± 0.273), and saline group (2.004 ± 0.163). Flow cytometry revealed that the apoptosis rate of tumor cells treated with PS-ASODN was 20.751% ± 0.789%, which was higher (P < 0.01) than that of the imatinib group (1.163% ± 0.469%), liposome negative control group (1.212% ± 0.310%), and saline group (1.172% ± 0.403%). Expression of bcl-2 mRNA in the transplanted GISTs was markedly downregulated (P < 0.01) in the PS-ASODN group (7.245 ± 0.739) compared with the imatinib group (14.153 ± 1.618) and liposome negative control group (16.396 ± 1.351). CONCLUSION: PS-ASODN can repress GIST growth, mediated perhaps by inhibition of telomerase activity and downregulation of bcl-2 expression.

Short hairpin RNA targeting autotaxin reduces human gastric carcinoma AGS cell proliferative, migratory and invasive capabilities in vitro and causes tumor regression in vivo.

The aim of this study was to investigate the effect of short hairpin RNA (shRNA) targeting autotaxin (ATX) on the migratory and invasive capability of AGS human gastric cancer cells and the growth of xenografts in nude mice. pSUPER-ATX and pSUPER-mock (non-specific), which were constructed corresponding to the ATX-shRNA and negative control mock-shRNA synthesized based on gene sequence, were transfected with blank plasmid pSUPER-control into AGS human gastric cancer cells using Lipofectamine. At 24, 48 and 72 h post-transfection, the cells were harvested and analyzed. The endogenous ATX mRNA and protein of the different groups of AGS cells were detected by RT-PCR and western blot assays. Cell proliferation was measured by MTT assay. In vitro Transwell and Matrigel assays were used to detect the cell migratory and invasive capabilities. A tumor xenograft model was generated by subcutaneous injection of AGS cells into the dorsum of nude mice. The growth of xenograft tumors was monitored and measured; changes in tumor morphology and the organs of mice were observed by H&E staining. The expression of ATX, MMP-2 and MMP-9 protein in xenograft tumor tissues was detected by immunohistochemistry and western blotting. In vitro, both the mRNA and protein levels of ATX in the pSUPER-ATX group were significantly downregulated (P<0.01), and the cell proliferative, migratory and invasive capabilities were also significantly decreased. In vivo, no obvious damage to the organs was found. pSUPER-ATX significantly suppressed the tumor volume and weight from the 7th week after cell transplantation, compared to the pSUPER-mock, pSUPER-control and WT groups; the inhibition rates were approximately 50% (P<0.05). However, no significant differences in these parameters were found among the WT, pSUPER-mock and pSUPER-control groups. Furthermore, ATX, MMP-2 and MMP-9 were expressed at significantly lower levels in the pSUPER-ATX group compared to the levels in the other three groups (P<0.05), and a significant correlation between ATX and MMP-2 expression was found (r=0.869, P<0.01). The specific shRNA targeting ATX downregulated the endogenous ATX of AGS human gastric cancer cells, and inhibited AGS cell proliferative, migratory and invasive potentials. Moreover, shRNA targeting ATX inhibited the growth of human gastric cancer xenografts in nude mice.