Case report: A rare case of very well-differentiated gastric adenocarcinoma of gastric type with a lymphovascular invasion.

Background: Very well-differentiated gastric adenocarcinoma (VWDA) is a rare variant of gastric cancer, for which the diagnostic criteria and clinical behavior are not fully established. We reported a case of an intramucosal VWDA of gastric type with a lymphovascular invasion (LVI). Case presentation: A 67-year-old female was diagnosed as intramucosal gastric adenocarcinoma after a biopsy at the local hospital 3 weeks ago and then visited our hospital for further treatment. The endoscopic examination in our hospital showed a rough, slightly faded, 30-mm, flat, and elevated lesion on the lesser curvature of the middle gastric body. Histopathologically, the lesion consisted of superficial foveolar-type papillary adenocarcinoma and deep pyloric gland-type tubular adenocarcinoma. The immunostaining results showed that the foveolar-type papillary adenocarcinoma was positive for MUC5AC and had a high index of Ki-67, but the pyloric gland-type tubular adenocarcinoma was positive for MUC6 and had a low index of Ki-67. Both components were negative for MSH2 and MSH6, which suggested the high microsatellite instability phenotype. Moreover, a LVI was detected in the lesion. The pathological diagnosis was VWDA of gastric type. Conclusion: The case has unique histological and immunophenotypic characteristics, which not only indicates the importance of architectural features in the diagnosis of VWDA but also further proves that the aggressive behavior of VWDA is correlated with tumor histological type and immunophenotype.

Relevance Analysis of TPM2 and Clinicopathological Characteristics in Breast Cancer.

Background: The function of tropomyosin 2 (TPM2) in breast cancer is still far understudied. In this study, we aim to explore the roles of TPM2 in breast cancer progression. Methods: This research included 155 breast cancer tissues. The expression of TPM2 was analyzed by immunohistochemical staining and grading. The mRNA expression of TPM2 in pan-cancer was analyzed with The Cancer Genome Atlas (TCGA) data plate form. The differential expression of TPM2 protein and the differential promoter methylation level of TPM2 between breast cancer tissues and normal breast tissues were analyzed by the UALCAN online database. The relationship between TPM2 and signaling pathways was interpreted by Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA) pathway enrichment analyses. The survival curve of TPM2 was analyzed across the Kaplan-Meier plotter online database. Furthermore, the relationship between TPM2 expression and infiltrating macrophages was validated through in vitro co-culture experiments. Results: TPM2 expression was significantly down-regulated in breast cancer samples. In addition, TPM2 expression was correlated with lymph node metastasis and high-grade histopathological morphology. The receiver operating characteristic (ROC) curve indicated that TPM2 expression could well distinguish between normal breast tissue and breast cancer tissue. TPM2 may have potential value in breast cancer diagnosis. Bioinformatics analysis illustrated that TPM2 was mainly involved in extracellular matrix organization, collagen fibril organization, cell junction assembly, focal adhesion, cAMP signaling pathway, estrogen signaling pathway, Wnt signaling pathway, and adaptive immune system. TPM2 expression was correlated with immune infiltrating cells and immune checkpoint molecules. Our in vitro co-culture experiments showed that the M2 macrophages could upregulate the expression of TPM2. Conclusion: TPM2 may play key roles in breast cancer occurrence and development, especially in cancer metastasis. TPM2 may be a potential biomarker for breast cancer diagnosis.

Genomic and transcriptomic analysis of breast cancer identifies novel signatures associated with response to neoadjuvant chemotherapy.

BACKGROUND: Neoadjuvant chemotherapy (NAC) has become a standard treatment strategy for breast cancer (BC). However, owing to the high heterogeneity of these tumors, it is unclear which patient population most likely benefit from NAC. Multi-omics offer an improved approach to uncovering genomic and transcriptomic changes before and after NAC in BC and to identifying molecular features associated with NAC sensitivity. METHODS: We performed whole-exome and RNA sequencing on 233 samples (including matched pre- and post-treatment tumors) from 50 BC patients with rigorously defined responses to NAC and analyzed changes in the multi-omics landscape. Molecular features associated with NAC response were identified and validated in a larger internal, and two external validation cohorts, as well as in vitro experiments. RESULTS: The most frequently altered genes were TP53, TTN, and MUC16 in both pre- and post-treatment tumors. In comparison with pre-treatment tumors, there was a significant decrease in C > A transversion mutations in post-treatment tumors (P = 0.020). NAC significantly decreased the mutation rate (P = 0.006) of the DNA repair pathway and gene expression levels (FDR = 0.007) in this pathway. NAC also significantly changed the expression level of immune checkpoint genes and the abundance of tumor-infiltrating immune and stroma cells, including B cells, activated dendritic cells, γδT cells, M2 macrophages and endothelial cells. Furthermore, there was a higher rate of C > T substitutions in NAC nonresponsive tumors than responsive ones, especially when the substitution site was flanked by C and G. Importantly, there was a unique amplified region at 8p11.23 (containing ADGRA2 and ADRB3) and a deleted region at 3p13 (harboring FOXP1) in NAC nonresponsive and responsive tumors, respectively. Particularly, the CDKAL1 missense variant P409L (p.Pro409Leu, c.1226C > T) decreased BC cell sensitivity to docetaxel, and ADGRA2 or ADRB3 gene amplifications were associated with worse NAC response and poor prognosis in BC patients. CONCLUSIONS: Our study has revealed genomic and transcriptomic landscape changes following NAC in BC, and identified novel biomarkers (CDKAL1P409L, ADGRA2 and ADRB3) underlying chemotherapy resistance and poor prognosis, which could guide the development of personalized treatments for BC.

Expression patterns of claudins in cancer.

Claudins are four-transmembrane proteins, which were found in tight junctions. They maintain cell barriers and regulate cell differentiation and proliferation. They are involved in maintaining cellular polarity and normal functions. Different claudins show different expression patterns. The expression level and localization of claudins are altered in various cancers. They promote or inhibit proliferation, invasion, and migration of cancer cells through multiple signaling pathways. Therefore, claudins may serve as diagnostic markers, novel therapeutic targets, and prognostic risk factors. The important roles of claudins in cancer aroused our great interest. In the present review, we provide a summary of insights into expression patterns of claudins in cancer, which is more comprehensive and provides new ideas for further research.

LSR targets YAP to modulate intestinal Paneth cell differentiation.

Lipolysis-stimulated lipoprotein receptor (LSR) is a multi-functional protein that is best known for its roles in assembly of epithelial tricellular tight junctions and hepatic clearance of lipoproteins. Here, we investigated whether LSR contributes to intestinal epithelium homeostasis and pathogenesis of intestinal disease. By using multiple conditional deletion mouse models and ex vivo cultured organoids, we find that LSR elimination in intestinal stem cells results in the disappearance of Paneth cells without affecting the differentiation of other cell lineages. Mechanistic studies reveal that LSR deficiency increases abundance of YAP by modulating its phosphorylation and proteasomal degradation. Using gain- and loss-of-function studies, we show that LSR protects against necrotizing enterocolitis through enhancement of Paneth cell differentiation in small-intestinal epithelium. Thus, this study identifies LSR as an upstream negative regulator of YAP activity, an essential factor for Paneth cell differentiation, and a potential therapeutic target for necrotizing enterocolitis.

Correlation of Claudin18.2 expression with clinicopathological characteristics and prognosis in gastric cancer.

OBJECTIVES: Claudin18.2 (Cldn18.2) is a tight junction protein expressed in gastric epithelial cells and is an emerging target for gastric cancer (GC). This study aimed to analyze the correlation between Cldn18.2 and clinicopathological parameters in GC patients undergoing radical surgery. METHODS AND RESULTS: This study included 426 GC patients who underwent radical gastrectomy. The expression of Cldn18.2 was analyzed by immunohistochemical staining and grading. The statistical results indicated that the expression of Cldn18.2 was correlated with T stage, TNM stage, Lauren classification, and the expression level of Mucin-2 (MUC2), Mucin-5AC (MUC5AC), Mucin-6 (MUC6), human epidermal growth factor receptor 2 (HER2), P53 and trefoil factor 2 (TFF2). In addition, through data mining of the Cancer Genome Atlas (TCGA) database, it is suggested that Cldn18.2 expression level is significantly correlated with the expression level of MUC5AC, MUC6, and TFF2. Besides, Cldn18.2 is related to tumor immune infiltration, programmed cell death protein 1 (PD 1) pathway, cell cycle and Wnt signaling pathway. CONCLUSIONS: The expression of Cldn18.2 was closely related to gastric-type GC, so gastric-type GC patients may benefit more from targeted drugs targeting Cldn18.2. In GC cells, depletion of Cldn18.2 may influence cell cycle and immune response by affecting Wnt signaling pathway and PD 1 pathway.

PTPN14 promotes gastric cancer progression by PI3KA/AKT/mTOR pathway.

Gastric cancer is a high molecular heterogeneous disease with a poor prognosis. Although gastric cancer is a hot area of medical research, the mechanism of gastric cancer occurrence and development is still unclear. New strategies for treating gastric cancer need to be further explored. Protein tyrosine phosphatases play vital roles in cancer. A growing stream of studies shows that strategies or inhibitors targeting protein tyrosine phosphatases have been developed. PTPN14 belongs to the protein tyrosine phosphatase subfamily. As an inert phosphatase, PTPN14 has very poor activity and mainly functions as a binding protein through its FERM (four-point-one, ezrin, radixin, and moesin) domain or PPxY motif. The online database indicated that PTPN14 may be a poor prognostic factor for gastric cancer. However, the function and underlying mechanism of PTPN14 in gastric cancer remain unclear. We collected gastric cancer tissues and detected the expression of PTPN14. We found that PTPN14 was elevated in gastric cancer. Further correlation analysis indicated that PTPN14 was relevant with the T stage and cTNM (clinical tumor node metastasis classification) stage. The survival curve analysis showed that gastric cancer patients with higher PTPN14 expression had a shorter survival time. In addition, we illustrated that CEBP/ß (CCAAT enhanced binding protein beta) could transcriptionally activate PTPN14 expression in gastric cancer. The highly expressed PTPN14 combined with NFkB (nuclear factor Kappa B) through its FERM domain and accelerated NFkB nucleus translocation. Then, NFkB promoted the transcription of PI3KA and initiated the PI3KA/AKT/mTOR pathway to promote gastric cancer cell proliferation, migration, and invasion. Finally, we established mice models to validate the function and the molecular mechanism of PTPN14 in gastric cancer. In summary, our results illustrated the function of PTPN14 in gastric cancer and demonstrated the potential mechanisms. Our findings provide a theoretical basis to better understand the occurrence and development of gastric cancer.

A Monocular-Visual SLAM System with Semantic and Optical-Flow Fusion for Indoor Dynamic Environments.

A static environment is a prerequisite for the stable operation of most visual SLAM systems, which limits the practical use of most existing systems. The robustness and accuracy of visual SLAM systems in dynamic environments still face many complex challenges. Only relying on semantic information or geometric methods cannot filter out dynamic feature points well. Considering the problem of dynamic objects easily interfering with the localization accuracy of SLAM systems, this paper proposes a new monocular SLAM algorithm for use in dynamic environments. This improved algorithm combines semantic information and geometric methods to filter out dynamic feature points. Firstly, an adjusted Mask R-CNN removes prior highly dynamic objects. The remaining feature-point pairs are matched via the optical-flow method and a fundamental matrix is calculated using those matched feature-point pairs. Then, the environment's actual dynamic feature points are filtered out using the polar geometric constraint. The improved system can effectively filter out the feature points of dynamic targets. Finally, our experimental results on the TUM RGB-D and Bonn RGB-D Dynamic datasets showed that the proposed method could improve the pose estimation accuracy of a SLAM system in a dynamic environment, especially in the case of high indoor dynamics. The performance effect was better than that of the existing ORB-SLAM2. It also had a higher running speed than DynaSLAM, which is a similar dynamic visual SLAM algorithm.

The ceRNA Crosstalk between mRNAs and lncRNAs in Diabetes Myocardial Infarction.

Competitive endogenous RNA regulation suggests an intricate network of all transcriptional RNAs that have the function of repressing miRNA function and regulating mRNA expression. Today, the specific ceRNA regulatory mechanisms of lncRNA-miRNA-mRNA in patients who have diabetes mellitus (DM) and myocardial infarction (MI) are still unknown. Two data sets, GSE34198 and GSE112690, were rooted in the Gene Expression Omnibus database to search for changes of lncRNA, miRNA, and mRNA in MI patients with diabetes. Weighted gene correlation network analysis (WGCNA) was used to identify the modules related to the development of diabetes in patients with MI. Target genes of miRNAs were predicted using miRWalk, TargetScan, mirDB, RNA22, and miRanda. Then, functional and enrichment analyses were performed to build the lncRNA-miRNA-mRNA interaction network. We built ceRNA regulatory networks with three lncRNAs, two miRNAs, and nine mRNAs. Differentially expressed genes enriched in biological process, including neutrophil activation, refer to immune response and positive system of defense feedback. Besides, there is significant enrichment in molecular function of calcium toll-like receptor binding, icosanoid binding, RAGE receptor binding, and arachidonic acid binding. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis enriched differentially expressed genes (DEGs) in pathways that were well known in MI, indicating inflammation and immune response. Pathways associated with diabetes were also significantly enriched. We confirmed significantly altered lncRNA, miRNA, and mRNA in MI patients with diabetes, which might serve as biomarkers for the progress and development of diabetic cardiovascular diseases. We constructed a ceRNA regulatory network of lncRNA-miRNA-mRNA, which will enable us to understand the novel molecular mechanisms included in the initiation, progression, and interaction between DM and MI, laying the foundation for clinical diagnosis and treatment.

MYBL2 is a Novel Independent Prognostic Biomarker and Correlated with Immune Infiltrates in Prostate Cancer.

Purpose: MYB proto-oncogene like 2 (MYBL2) is a member of the MYB family of transcription factor genes and overexpressed in many cancers. We investigated the role of MYBL2 in the malignant progression of prostate cancer (PCa) and its relationship with immune infiltrates in PCa. Methods: Gene expression level, clinicopathological parameters, Gene Ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway, tumor immune infiltration analysis were based on The Cancer Genome Atlas (TCGA) dataset. Gene set enrichment analysis (GSEA) and single-sample gene set enrichment analysis (ssGSEA) were conducted to analyze the correlation between MYBL2 and immune infiltrates. The data processing analysis based on R language. The relationship between MYBL2 expression and immune response in PCa was analyzed on TIMER 2.0. Results: MYBL2 was overexpressed in PCa patients, and correlated with T-stage, Gleason score, primary therapy outcome and progress free interval (PFI) event. The multivariate Cox regression analysis revealed MYBL2 was an independent risk factor for PFI (HR=1.250, 95% CI=1.016-1.537, p=0.035). The receiver operating characteristic (ROC) curve for MYBL2 (AUC=0.887) and nomogram also confirmed the diagnostic value of MYBL2 in the treatment of PCa patients. Based on mRNA expression of MYBL2, PCa patients were divided into MYBL2-high group and MYBL2-low group, and analysis of MYBL2 associated KEGG and GO pathways using R language revealed that 6 immune-related signaling pathways were enriched in MYBL2-high expression phenotype. GSEA analysis showed that 3 hallmark gene sets related to immune response were significantly enriched in MYBL2-high group, ssGSEA analysis found that MYBL2 expression correlated with the expression of many tumor immune lymphocytes (CD8+T cells, neutrophil cells, macrophage cells and so on) and immune check point inhibitors (CD276, BTLA, TNFRSF18, HAVCR2 and CD70). Conclusion: MYBL2 is a novel independent prognostic biomarker and MYBL2 may play a crucial role in tumor immune microenvironment of PCa.

Prognostic value of gamma-interferon-inducible lysosomal thiol reductase expression in female patients diagnosed with breast cancer.

Because of the high heterogeneity of breast cancer outcome, identification of novel prognostic biomarkers is critical to improve patient stratification and guide precise treatment. We examined the prognostic value of gamma-interferon-inducible lysosomal thiol reductase (GILT) expression in a training set of 416 breast cancer patients and a validation set of 210 patients, and performed functional studies to investigate the functions and underlying mechanisms of GILT on breast cancer prognosis. Our results indicated that high GILT expression in breast cancer cells was associated with improved disease-free survival (DFS; hazard ratio [HR] = 0.189, 95% confidence interval [CI]: 0.099-0.361) and breast cancer-specific survival (BCSS; HR = 0.187, 95% CI: 0.080-0.437) of breast cancer patients both in the training set and the external validation set (HR = 0.453, 95% CI: 0.235-0.873 for DFS, HR = 0.488, 95% CI: 0.245-0.970 for BCSS). In vitro and in vivo studies showed that GILT overexpression inhibited breast cancer cells proliferation, invasion, migration and tumor formation in nude mice and increased sensitivity of breast cancer cells to standard treatment. Proteomics analysis indicated that GILT inhibited reactive oxygen species (ROS) and autophagy activation in breast cancer cells, and GILT overexpression-mediated tumor growth was further enhanced in the presence of autophagy or ROS inhibitors. Our results demonstrate that GILT expression can be effectively used to predict the prognosis and guide treatment strategies of breast cancer patients.

Impact of meteorological conditions at multiple scales on ozone concentration in the Yangtze River Delta.

Tropospheric ozone is known to have adverse effects on human health. Ozone pollution events are often associated with specific atmospheric circulation conditions. Therefore, studying the relationship between atmospheric circulation and ozone is particularly important for early warning and forecasting of ozone pollution events. Focusing on the Yangtze River Delta region, particularly in four important large industrial cities (Xuzhou, Nanjing, Shanghai, and Hangzhou) in the Yangtze River Delta, the T-mode objective classification method was applied to classify the weather circulation that mainly affects the Yangtze River Delta region into nine types. Local wind fields for the four industrial cities were classified according to their propensity for ventilation, stagnation, and recirculation based on the Allwine and Whiteman method. Based on the analysis of large-scale atmospheric circulation, we concluded that certain circulation patterns correspond to excessive ozone concentrations, while other circulation patterns correspond to good air quality. Moreover, ozone pollution was not closely related to local regional transmission. The importance of high temperatures in potentiating ozone pollution was also identified in the study area, whereas the effect of relative humidity was negligible. Finally, the importance of the different scale atmospheric motions was analyzed by studying two specific ozone pollution events in Xuzhou area (March, 2019) and Nanjing area (July-August, 2017). This analysis was complemented by HYSPLIT model's outputs to simulate the pollutant diffusion path. Regarding the first episode, ozone concentration is often closely related to the slowly approaching thermal high-pressure system. In the second episode, local transmission had little effect on the generation and spread of ozone pollution. Furthermore, and comparing the circulation conditions with local meteorological factors, it was found that the increase in ozone concentration was often accompanied by higher temperature, and the response to humidity was not clear.

RNF213 gene mutation in circulating tumor DNA detected by targeted next-generation sequencing in the assisted discrimination of early-stage lung cancer from pulmonary nodules.

BACKGROUND: To distinguish early-stage lung cancer from benign disease in pulmonary nodules, especially lesions with ground-glass opacity (GGO), we assessed gene mutations of ctDNA in peripheral blood using targeted next-generation sequencing (NGS). METHODS: Single pulmonary nodule patients without mediastinal lymph nodes and symptoms that were hard to diagnose by chest CT and lung cancer biomarker measurement in multiple medical centers were enrolled into the study. All patients accepted minimally invasive surgery but refused preoperative biopsy. Gene mutations in preoperative blood samples were detected by targeted NGS. Mutations with significant differences between lung tumors and benign lesions, as grouped by postoperative pathology, were screened. Protein expression was determined by immunohistochemistry. Highly expressed genes were selected as biomarkers to verify the mutations in peripheral blood. RESULTS: In the training set, the RNF213, KMT2D, CSMD3 and LRP1B genes were mutated more frequently in early-stage lung cancer (27 cases) than in benign nodules (15 cases) (P < 0.05). High expression of the RNF213 gene in lung cancers and low expression in benign diseases were seen by immunohistochemistry. The RNF213 gene was mutated in 25% of lung cancer samples in the validation set of 28 samples and showed high specificity (100%). In GGO patients, RNF213 was mutated more frequently in early-stage lung cancer compared to benign diseases (P < 0.05). CONCLUSIONS: RNF213 gene mutations were observed more frequently in early-stage lung cancer, but not in benign nodules. Mutation of the RNF213 gene in peripheral blood may be a high specificity biomarker for the assisted early diagnosis of lung cancer in pulmonary nodules. KEY POINTS: Significant findings of the study: In peripheral venous blood and tumor tissue, RNF213 gene mutated more frequently in lung cancer than benign pulmonary nodules. WHAT THIS STUDY ADDS: Detection mutation of the RNF213 gene in peripheral blood may be a high specificity method for the assisted early diagnosis of lung cancer in pulmonary nodules.

PKM2 Promotes Breast Cancer Progression by Regulating Epithelial Mesenchymal Transition.

Breast cancer is the leading cause of females characterized by high invasive potential. It is necessary to explore the underlying mechanism of breast cancer metastases and to find specific therapeutic targets. PKM2 is considered a new biomarker of cancer with upregulated expression in tumor tissue. PKM2 participates in the cancer-specific Warburg effect to regulate fast glucose intake consumption. Besides, PKM2 also contributes to cancer progression, especially tumor metastasis. In this study, we showed that PKM2 is upregulated in breast cancer tissues and the upregulating of PKM2 in breast cancer correlates with poor prognosis. PKM2 can regulate tumor progression by promoting tumor cell viability and mobility. Furthermore, overexpression of PKM2 can promote EMT to encourage tumor metastasis. These findings indicate PKM2 is a potentially useful diagnostic biomarker and therapeutic target in breast cancer.

Aryl hydrocarbon receptor nuclear translocator promotes the proliferation and invasion of clear cell renal cell carcinoma cells potentially by affecting the glycolytic pathway.

Aryl hydrocarbon receptor nuclear translocator (ARNT) is a transcription factor that has been reported to play a vital role in regulating glycolysis, angiogenesis and apoptosis. Recently, ARNT has been reported to a play role in pancreatic-islet function in type 2 diabetes. However, the role of ARNT in kidney cancer has not yet been investigated. In the present study, ARNT expression was detected in tissues from patients with renal cell carcinoma (RCC) and in RCC cell lines. Oncomine, The Cancer Genome Atlas and cBioPortal were used to investigate the roles of ARNT in RCC. Cell migration and invasion assays were used to explore the molecular mechanisms involved. It was found that ARNT protein expression was elevated both in tissues from patients with clear cell RCC (ccRCC) and in different RCC cell lines. ARNT disruption using siRNA knockdown inhibited the migratory abilities and cell proliferation, potentially by altering the glycolysis pathway in vitro, as evidenced by decreased M2 type acetone kinase, 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase 3 and hexokinase 2 expression. Taken together, the findings in the present study revealed a novel function of ARNT in ccRCC and indicated that ARNT promotes the proliferation and invasion of ccRCC, possibly through changes to the glycolytic pathway.

Effects of potential recirculation on air quality in coastal cities in the Yangtze River Delta.

Air quality is closely related to the synoptic circulation and local wind field affecting a certain area as they have distinct influence on the path and speed of pollutants. The Yangtze River Delta is located on the eastern coast, and the air returning from coastal areas has a detrimental effect on air quality in the area. This study proposes to analyze if certain circulation types and the occurrence of recirculation are predominantly related to the occurrence of bad air quality in the Yangtze River Delta. Using sea level pressure data from 2006 to 2016, we used T-mode objective classification to classify circulation in the Yangtze River Delta into nine categories. At the same time, using the Allwine and Whiteman (AW) method, we categorized local winds in the region as ventilation, stagnation, and recirculation types, and we found that the local wind tends to be under recirculation conditions when the region was controlled by circulation types 3 (CT3, southeast low pressure), CT4 (northeast low pressure), CT7 (northwest high pressure), and CT8 (north high pressure, south low pressure, with a large pressure gradient). By comparing concentrations of pollutants and different local wind types, we found that recirculation tended to promote high pollution situations. Use of the HYSPLIT (Hybrid Single Particle Lagrangian Integrated Trajectory) model to simulate the diffusion of pollutants by recirculation in Shanghai in March 2016 confirmed this conclusion. The outputs of HYSPLIT model can show the track of air mass intuitively, and then reflect the effect of recirculation.

Switching of the substrate specificity of protein tyrosine phosphatase N12 by cyclin-dependent kinase 2 phosphorylation orchestrating 2 oncogenic pathways.

The protein tyrosine phosphatase nonreceptor type 12 (PTPN12) is a multifunctional protein and has elicited much research attention because its decreased protein level has been associated with poor prognosis of several types of cancers. Recently, we have solved the crystal structure of the phosphatase domain of PTPN12, which disclosed a specific PTPN12-insert-loop harboring a cyclin-dependent kinase 2 (CDK2) phosphorylation site. However, the functional significance of this phosphorylation is undefined. In the present study, we found that S19 site phosphorylation of PTPN12 by CDK2 discharged its antitumor activity by down-regulation of its inhibitory role in cell migration, but not affecting its other regulatory functions. Phosphorylation of PTPN12 at the S19 site changed its substrate interface, and by doing so, selectively decreased its activity toward the human epidermal growth factor receptor 2 (HER2)- pY1196 site, but not other HER2 phosphorylation sites or other known PTPN12 substrates. A further in-depth mechanism study revealed that the phosphorylation of PTPN12 by CDK2 impaired recruitment of the serine/threonine-protein kinase 1 (PAK1) to HER2, resulted in the blockade of the HER2-pY1196-PAK1-T423 signaling pathway, thus increased tumor cell motility. Taken together, our results identified a new phosphorylation-based substrate recognition mechanism of PTPN12 by CDK2, which orchestrated signaling crosstalk between the oncogenic CDK2 and HER2 pathways. The newly identified governing mechanism of the substrate selectivity of a particular phosphatase was previously unappreciated and exemplifies how a phospho-network is precisely controlled in different cellular contexts.-Li, H., Yang, D., Ning, S., Xu, Y., Yang, F., Yin, R., Feng, T., Han, S., Guo, L., Zhang, P., Qu, W., Guo, R., Song, C., Xiao, P., Zhou, C., Xu, Z., Sun, J.-P., Yu, X. Switching of the substrate specificity of protein tyrosine phosphatase N12 by cyclin-dependent kinase 2 phosphorylation orchestrating 2 oncogenic pathways.

Correlation of endoscopic images and histological findings of a high grade dysplasia developed in a gastric xanthoma.

Gastric neoplasia developed in a xanthoma is very rare. We herein report a high grade dysplasia (HGD) arising in a gastric xanthoma removed by endoscopic submucosal dissection (ESD). A 57-year-old man was referred to our hospital for removal of rectal polyps. During surveillance esophago-gastro-duodenoendoscopy before polypectomy, an irregularly shaped gastric xanthoma with unusual color was found in the stomach. Although, magnifying narrow band imaging showed no typical neoplastic vessel or surface pattern on the surface and endoscopic biopsies revealed no tumor, diagnostic ESD was performed because of its irregular shape and unusual color for a commonly seen xanthoma. Histologically, a high grade dysplasia, 6 mm×6 mm in size, was detected within a gastric xanthoma. This is the first report of correlation of endoscopic images and histological findings of a HGD in a gastric xanthoma.

The Expression of MCM7 is a Useful Biomarker in the Early Diagnostic of Gastric Cancer.

The aim of this study was to investigate the expression of minichromosome maintenance complex component 7 (MCM7) in gastric mucosal lesions, further to find its potential effect as a biomarker to distinguish intraepithelial neoplasia from gastric mucosal lesions. MCM7 and Ki67 were detected in 93 cases of gastric mucosal lesions by immunohistochemistry. MCM7 and Ki67 expression in GT were lowest compared with other groups (P<0.001), meanwhile there were significant differences compared with Group IM and other groups in MCM7 and Ki67 expression (P<0.001). MCM7 and Ki67 expression in GSC were highest (P<0.05). Groups of LGN, HGN and GIC had no significant differences in MCM7 expression (P>0.05), but there was significant difference compared with Group LGN and Group GIC in Ki67 expression (P<0.05). MCM7 expression elevated with tumor grade increasing and had positive correlation with Ki67 significantly (r=0.940, P<0.001). Furthermore, in some cases, some tumor cells were immunoreactive to MCM7 but negative to Ki67. So we concluded that MCM7 is helpful for us to make differential diagnosis in pathological grade, MCM7 combination of Ki67 may serve as more sensitive proliferation markers for evaluation of gastric carcinoma and precancerous lesions.

MCM7 expression is correlated with histological subtypes of lung adenocarcinoma and predictive of poor prognosis.

Emerging evidence has implicated that the abnormal expression of MCM3 and MCM7 contributes to tumor formation and progression. However, MCM3 and MCM7 protein expression in different subtypes of lung adenocarcinoma have not yet been reported. In the present study, we detected MCM7 and MCM3 protein level in five subtypes of lung adenocarcinoma by immunohistochemistry. The five subtypes can be divided into 3 grades-grade 1: lepidic adenocarcinoma, grade 2: acinar or papillary adenocarcinoma and grade 3: solid or micropapillary adenocarcinoma. The immunostaining showed that MCM7 level was lowest in the grade 1 subtype and highest in the grade 3 subtypes. The statistical analysis proved that MCM7 expression increased step wisely with the ascending of tumor grades. However, there is no significant relationship between MCM3 expression and tumor grades. In addition, we investigated the association of MCM7 and MCM3 expression with clinicopathological characteristics. The results showed that tumors with lymph node metastasis had higher MCM7 level than those without lymph node metastasis statistically (P<0.0001). MCM3 expression has no significant relationship with clinicopathological characteristics. In conclusion, our results suggested that MCM7 may be a useful biomarker for the pathological diagnosis of subtypes of lung adenocarcinoma and it also may be a potential prognostic marker for lung adenocarcinoma.