FOXP3 inhibits proliferation and migration by competitively inhibiting YAP1 in nasopharyngeal carcinoma.

Hippo signalling is involved in the coordination of extracellular signals that control tissue homeostasis and organ size. Yes-associated protein 1 (YAP1) is regulated primarily by Hippo signalling through coactivation of transcription factors with GATA domains called TEADs. However, small-molecule orthosteric inhibitors of YAP1 are difficult to develop due to its tight binding to TEAD4 via a flat interface. Previous studies have shown that chlorpromazine (CPZ) can inhibit YAP1 expression. MTT, colony formation, wound healing, Transwell migration and Western blot assays were performed to explore how CPZ affects nasopharyngeal carcinoma (NPC) cells through FOXP3. In addition, immunofluorescence and live-cell imaging were used to detect YAP1 intracellular localization after CPZ administration. Through the HDOCK website, we predicted protein binding regions between FOXP3 and TEAD4. Western blot and co-IP experiments were used to verify the relationship between FOXP3 and YAP1. The UCSC Xena database, LinkedOmics database and KM plotter website were used to assess the prognostic value of FOXP3 in head and neck squamous cell carcinoma (HNSCC). Age, sex, pathological tumour-node-metastasis (pTMN) stage, grade, smoking status and FOXP3 expression were included in an overall survival nomogram model. Our findings revealed that FOXP3 has the ability to competitively interacts competitively with TEAD4 to inhibit YAP1 expression. By increasing FOXP3 expression, CPZ induces YAP1 nuclear export and phosphorylation, consequently suppressing NPC cell proliferation and migration. Collectively, our findings indicate that FOXP3 competitively binds TEAD4 to regulate YAP1 localization in the nucleus and cytoplasm to suppress NPC progression. Consequently, FOXP3 may be a prognostic indicator for HNSCC.

Machine learning for identifying risk of death in patients with severe fever with thrombocytopenia syndrome.

Background: Severe fever with thrombocytopenia syndrome (SFTS) has attracted attention due to the rising incidence and high severity and mortality rates. This study aims to construct a machine learning (ML) model to identify SFTS patients at high risk of death early in hospital admission, and to provide early intensive intervention with a view to reducing the risk of death. Methods: Data of patients hospitalized for SFTS in two hospitals were collected as training and validation sets, respectively, and six ML methods were used to construct the models using the screened variables as features. The performance of the models was comprehensively evaluated and the best model was selected for interpretation and development of an online web calculator for application. Results: A total of 483 participants were enrolled in the study and 96 (19.88%) patients died due to SFTS. After a comprehensive evaluation, the XGBoost-based model performs best: the AUC scores for the training and validation sets are 0.962 and 0.997. Conclusion: Using ML can be a good way to identify high risk individuals in SFTS patients. We can use this model to identify patients at high risk of death early in their admission and manage them intensively at an early stage.

A mitochondria-related genes associated neuroblastoma signature - based on bulk and single-cell transcriptome sequencing data analysis, and experimental validation.

Background: Neuroblastoma (NB), characterized by its marked heterogeneity, is the most common extracranial solid tumor in children. The status and functionality of mitochondria are crucial in regulating NB cell behavior. While the significance of mitochondria-related genes (MRGs) in NB is still missing in key knowledge. Materials and methods: This study leverages consensus clustering and machine learning algorithms to construct and validate an MRGs-related signature in NB. Single-cell data analysis and experimental validation were employed to characterize the pivotal role of FEN1 within NB cells. Results: MRGs facilitated the classification of NB patients into 2 distinct clusters with considerable differences. The constructed MRGs-related signature and its quantitative indicators, mtScore and mtRisk, effectively characterize the MRGs-related patient clusters. Notably, the MRGs-related signature outperformed MYCN in predicting NB patient prognosis and was adept at representing the tumor microenvironment (TME), tumor cell stemness, and sensitivity to the chemotherapeutic agents Cisplatin, Topotecan, and Irinotecan. FEN1, identified as the most contributory gene within the MRGs-related signature, was found to play a crucial role in the communication between NB cells and the TME, and in the developmental trajectory of NB cells. Experimental validations confirmed FEN1's significant influence on NB cell proliferation, apoptosis, cell cycle, and invasiveness. Conclusion: The MRGs-related signature developed in this study offers a novel predictive tool for assessing NB patient prognosis, immune infiltration, stemness, and chemotherapeutic sensitivity. Our findings unveil the critical function of FEN1 in NB, suggesting its potential as a therapeutic target.

Multi omics analysis of mitophagy subtypes and integration of machine learning for predicting immunotherapy responses in head and neck squamous cell carcinoma.

Mitophagy serves as a critical mechanism for tumor cell death, significantly impacting the progression of tumors and their treatment approaches. There are significant challenges in treating patients with head and neck squamous cell carcinoma, underscoring the importance of identifying new targets for therapy. The function of mitophagy in head and neck squamous carcinoma remains uncertain, thus investigating its impact on patient outcomes and immunotherapeutic responses is especially crucial. We initially analyzed the differential expression, prognostic value, intergene correlations, copy number variations, and mutation frequencies of mitophagy-related genes at the pan-cancer level. Through unsupervised clustering, we divided head and neck squamous carcinoma into three subtypes with distinct prognoses, identified the signaling pathway features of each subtype using ssGSEA, and characterized subtype B as having features of an immune desert using various immune infiltration calculation methods. Using multi-omics data, we identified the genomic variation characteristics, mutated gene pathway features, and drug sensitivity features of the mitophagy subtypes. Utilizing a combination of 10 machine learning algorithms, we have developed a prognostic scoring model called Mitophagy Subgroup Risk Score (MSRS), which is used to predict patient survival and the response to immune checkpoint blockade therapy. Simultaneously, we applied MSRS to single-cell analysis to explore intercellular communication. Through laboratory experiments, we validated the biological function of SLC26A9, one of the genes in the risk model. In summary, we have explored the significant role of mitophagy in head and neck tumors through multi-omics data, providing new directions for clinical treatment.

Multiomics Analysis of Disulfidptosis Patterns and Integrated Machine Learning to Predict Immunotherapy Response in Lung Adenocarcinoma.

BACKGROUND: Recent studies have unveiled disulfidptosis as a phenomenon intimately associated with cellular damage, heralding new avenues for exploring tumor cell dynamics. We aimed to explore the impact of disulfide cell death on the tumor immune microenvironment and immunotherapy in lung adenocarcinoma (LUAD). METHODS: We initially utilized pan-cancer transcriptomics to explore the expression, prognosis, and mutation status of genes related to disulfidptosis. Using the LUAD multi- -omics cohorts in the TCGA database, we explore the molecular characteristics of subtypes related to disulfidptosis. Employing various machine learning algorithms, we construct a robust prognostic model to predict immune therapy responses and explore the model's impact on the tumor microenvironment through single-cell transcriptome data. Finally, the biological functions of genes related to the prognostic model are verified through laboratory experiments. RESULTS: Genes related to disulfidptosis exhibit high expression and significant prognostic value in various cancers, including LUAD. Two disulfidptosis subtypes with distinct prognoses and molecular characteristics have been identified, leading to the development of a robust DSRS prognostic model, where a lower risk score correlates with a higher response rate to immunotherapy and a better patient prognosis. NAPSA, a critical gene in the risk model, was found to inhibit the proliferation and migration of LUAD cells. CONCLUSION: Our research introduces an innovative prognostic risk model predicated upon disulfidptosis genes for patients afflicted with Lung Adenocarcinoma (LUAD). This model proficiently forecasts the survival rates and therapeutic outcomes for LUAD patients, thereby delineating the high-risk population with distinctive immune cell infiltration and a state of immunosuppression. Furthermore, NAPSA can inhibit the proliferation and invasion capabilities of LUAD cells, thereby identifying new molecules for clinical targeted therapy.

CRABP2 affects chemotherapy resistance of ovarian cancer by regulating the expression of HIF1α.

Ovarian cancer is the most lethal malignancy among gynecologic cancers, and primary and secondary chemotherapy resistance is one of the important reasons for poor prognosis of ovarian cancer patients. However, the specifics of resistance to chemotherapy in ovarian cancer remain unclear. Herein, we find that the expression level of cellular retinoic acid binding protein 2 (CRABP2) is up-regulated in drug-resistant ovarian cancer tissues and cell lines, and the expression levels of CRABP2 in epithelial ovarian cancer tissues are closely related to tumor clinical stage and patients' prognosis, suggesting that CRABP2 plays an important role in the progression of ovarian cancer and the corresponding ability of tumor to chemotherapy. With the in-depth study, we demonstrates that CRABP2 is related to the high metabolic activity in drug-resistant cells, and all-trans retinoic acid exacerbates this activity. Further molecular mechanism exploration experiments show that CRABP2 not only up-regulates the expression level of HIF1α, but also increases the localization of HIF1α in the nucleus. In drug-resistant ovarian cancer cells, knocking down HIF1α can block the resistance of CRABP2 to chemotherapy drugs in ovarian cancer cells. Taken together, our findings suggest for the first time that CRABP2 affects chemotherapy resistance of ovarian cancer by regulating the expression of HIF1α. This study provides a possible molecular mechanism for drug resistance and a possible molecular target for clinical treatment of ovarian cancer.

DOCK4 as a Potential Biomarker Associated with Immune Infiltration in Stomach Adenocarcinoma: A Database Analysis.

Purpose: The involvement of dedicator for cytokinesis 4 (DOCK4), a guanine nucleotide exchange factor for Rac1, in immune infiltration in stomach adenocarcinoma (STAD) remains unclear. Methods: The UALCAN database was used to analyze the expression of the DOCK family. The Kaplan-Meier method and Gene Expression Profiling Interactive Analysis (GEPIA) databases were used to assess the prognostic value of the DOCK family in STAD. Furthermore, the correlation between expression of DOCK4 as well as other immune-related marker genes and tumor immune infiltration in STAD was explored using the TIMER and GEPIA websites. Subsequently, the relationship between DOCK4 expression and clinical characteristics was verified using the UALCAN database. Finally, DOCK4 mutation was analyzed via the TIMER2.0 and cBioPortal databases and the DOCK4 protein-protein interaction networks were constructed using the GeneMANIA and STRING websites. Results: DOCK4 was found to be a new prognostic biomarker in STAD. DOCK4 expression in tumors was thoroughly evaluated relative to paracancerous tissues; overexpression of DOCK4 had a negative impact on the prognosis of patients with STAD. DOCK4 was found to be significantly associated with tumor immune infiltration in STAD. Conclusion: In summary, DOCK4 is a potential regulator of the recruitment and regulation of immune-infiltrating cells, thus serving as a valuable prognostic biomarker in STAD.

The MCP-1 A-2518G polymorphism increases the risk of Alzheimer's disease: A case-control study.

Monocyte chemoattractant protein-1 (MCP-1) is reported to associate with the severity and development of Alzheimer's disease (AD). While a few studies have examined the association between the MCP-1 A-2518 G polymorphism and AD risk, no Chinese study has undertaken a study of this association. Therefore, a case-control study with 212 AD cases and 268 controls was designed in Chinese participants. Logistic regression analysis was utilized to probe the potential link between AD susceptibility and the MCP-1 A-2518 G polymorphism. We observed that the GG or GG + AG genotype was shown to elevate the risk of AD. Subgroup analysis revealed this increased risk effect was also presented in males, smokers, APOE ε4+ and those participants ≥ 65 years old. Notably, cross-over analysis found that this polymorphism interacted with smoking, contributing to the increased risk of AD. In addition, we found that the serum MCP-1 levels of AD patients were evidently higher than in controls. Furthermore, the MCP-1 A-2518 G polymorphism was linked with the serum MCP-1 levels of AD patients, but not controls. In conclusion, the MCP-1 A-2518 G polymorphism correlates with an elevated risk of AD and increased MCP-1 serum levels. The interaction between the MCP-1 A-2518 G polymorphism and smoking contributes to the increased risk for AD in Chinese Han individuals.

Lumican inhibits immune escape and carcinogenic pathways in colorectal adenocarcinoma.

Lumican (LUM), a small leucine-rich proteoglycan, is a component of the extracellular matrix. Abnormal LUM expression is potentially associated with cancer progression. In the present study, we confirmed high LUM mRNA expression in colorectal adenocarcinoma (COAD) through the UALCAN database. The Kaplan-Meier method, univariate, and multivariate COX analysis showed that high LUM expression is an independent determinant of poor prognosis in COAD. A COX regression model was constructed based on clinical information and LUM expression. The receiver operating characteristic (ROC) curve indicated that this model was highly accurate in monitoring COAD prognosis. The co-expression network of LUM was determined by LinkedOmics, which showed that LUM expression was closely related to immune escape and the miR200 family. Furthermore, we studied the co-expression network of LUM and found that LUM could promote tumor metastasis and invasion. The Tumor Immune Estimation Resource website showed that LUM was closely related to immune infiltration and correlated with regulatory T cells, tumour-associated macrophages, and dendritic cells. We found that LUM cultivated cancer progression by targeting the miR200 family to promote epithelial-to-mesenchymal transition. These findings suggest that LUM is a potential target for inhibiting immune escape and carcinogenic pathways.

The novel miR-1269b-regulated protein SVEP1 induces hepatocellular carcinoma proliferation and metastasis likely through the PI3K/Akt pathway.

Decreased intercellular adhesion is a key step in the metastasis and recurrence of many cancers, including hepatocellular carcinoma (HCC). SVEP1 is an important cell adhesion molecule that plays a key role in regulating intercellular adhesion and embryonic lymphatic development. However, the expression patterns and roles of SVEP1 in HCC are still largely unknown. We identified SVEP1 expression by analyzing 220 HCC samples from our cancer center. TCGA and GEO online-databases were used for data calibration and validation. SVEP1 was differentially expressed in two groups of HCCs with different risks of recurrence and was deemed as an independent risk factor for the prognosis of HCC. The expression of SVEP1 is negatively related to the proliferation and metastasis of HCC. Downregulation of SVEP1 expression promoted in vitro HCC cell migration, chemotaxis, invasion and proliferation, as well as in vivo tumor growth, local invasion and metastasis in a mouse model. Bioinformatic analysis and RT-PCR results showed that miR-1269b expression is negatively correlated with the SVEP1 expression and the prognosis of HCC patients. Further experiments showed that miR-1269b directly targets and downregulates the expression of SVEP1, which further induces the phosphorylation of Akt at thr308. These regulatory effects ultimately mediate the proliferation and metastasis of HCC cells. SVEP1 could serve as a promising prognostic marker of HCC. MiR-1269b downregulates SVEP1 expression and promotes HCC proliferation and metastasis likely through the PI3k/Akt signaling pathway.

Knockdown of long non-coding RNA linc-ITGB1 inhibits cancer stemness and epithelial-mesenchymal transition by reducing the expression of Snail in non-small cell lung cancer.

BACKGROUND: The main cause of death in patients with non-small cell lung cancer (NSCLC) is the progression of cancer metastasis, which can be attributed to multiple factors, such as cancer stem cells (CSCs) and epithelial-mesenchymal transition (EMT). Long non-coding RNAs (lncRNAs) play important roles in the regulation of the cell cycle, cell proliferation, immune responses, and metastasis in cancers, but the potential roles and mechanisms of lincRNAs in CSC-like properties of cancer have not yet been elucidated. METHODS: Human NSCLC cell lines (A549 and H1299), highly metastatic cell lines (L9981 and 95D), and their corresponding low-metastatic cell lines (NL9980 and 95C) were subject to quantitative real-time PCR and Western blot, transwell invasion, colony formation, and wound healing assays. RESULTS: Linc-ITGB1 was greatly upregulated in CSC spheres. Linc-ITGB1 knockdown markedly inhibited CSC formation and the expression of stemness-associated genes, such as Sox2, Nanog, Oct-4, c-Myc, and CD133. Depletion of linc-ITGB1 expression also inhibited the in vitro invasive and migratory potential of cells, and further analysis indicated that linc-ITGB1 knockdown increased the expression of the epithelial marker E-cadherin and downregulated the mesenchymal markers vimentin and fibronectin. The EMT-related transcription factor Snail mediated these effects of linc-ITGB1 in NSCLC, and overexpression of Snail significantly reversed the inhibitory effects of linc-ITGB1 depletion. CONCLUSION: Overall, our study demonstrated that linc-ITGB1 promoted NSCLC cell EMT and cancer stemness by regulating Snail expression.

Polo-like kinase 4 mediates epithelial-mesenchymal transition in neuroblastoma via PI3K/Akt signaling pathway.

Neuroblastoma (NB) is the most common malignant tumor in infancy and most common extracranial solid tumor in childhood. With the improvement of diagnosis and treatment, the survival rate of patients with low-risk and intermediate-risk NB can reach up to 90%. In contrast, for high-risk NBs, the long-term survival rate is still <40% because of heterogeneity of this tumor. The pathogenesis of NB is still not explicit, therefore it is of great significance to explore the mechanism of NB tumorigenesis and discover new therapeutic targets for NB. Polo-like kinase 4 (PLK4), one of the polo-like kinase family members, is an important regulator of centriole replication. The aberrant expression of PLK4 was found in several cancers and a recent study has unraveled a novel function of PLK4 as a mediator of invasion and metastasis in Hela and U2OS cells. However, the function of PLK4 in NB development and progression remains to be elucidated. The study showed the expression level of PLK4 in NB tissues was remarkably upregulated and high expression of PLK4 was negatively correlated with clinical features and survival, which suggested that PLK4 could be a potential tumor-promoting factor of NB. Functional studies indicated downregulation of PLK4 suppressed migration and invasion and promoted apoptosis in NB cells. Further experiments showed that downregulation of PLK4 in NB cells inhibited EMT through the PI3K/Akt signaling pathway. Animal experiments demonstrated that the downregulation of PLK4 in SK-N-BE(2) cells dramatically suppressed tumorigenesis and metastasis. PLK4 may be a promising therapeutic target for NB.

The X-linked deubiquitinase USP9X is an integral component of centrosome.

The X-linked deubiquitinase USP9X has been implicated in multiple pathological disorders including malignancies and X-linked intellectual disability. However, its biological function and substrate repertoire remain to be investigated. In this study, we utilized the tandem mass tag labeling assay to identify USP9X-regulated proteins and revealed that the expression of multiple genes is altered in USP9X-deficient cells. Interestingly, we showed that USP9X promotes stabilization of centrosome proteins PCM1 and CEP55 through its catalytic activity. Remarkably, we demonstrated that USP9X is physically associated and spatially co-localized with PCM1 and CEP55 in the centrosome, and we revealed that either PCM1 or CEP55 loss resulted in impairment of USP9X centrosome localization. Moreover, we showed that USP9X is required for centrosome duplication, and this effect is dependent on its catalytic activity and its N-terminal module, which is responsible for physical association of USP9X with PCM1 and CEP55. Collectively, our experiments identified USP9X as an integral component of the centrosome where it functions to stabilize PCM1 and CEP55 and promote centrosome biogenesis.

Claudin-3 expression increases the malignant potential of lung adenocarcinoma cells: role of epidermal growth factor receptor activation.

Claudins are essential for the formation and maintenance of tight junctions (TJ). The altered expression of claudin proteins has been described in a variety of malignancies. However, the alteration of these proteins in lung adenocarcinoma (ADC) are poorly understood. Therefore, we report, based on the protein expression analysis of a total of 275 patient samples, that claudin-3 (CLDN3) expression is significantly increased in ADC tissues and is associated with cancer progression, correlating significantly with the poor survival of ADC patients (p=0.041&0.029). More importantly, forcing CLDN3 expression in ADC cells without endogenous CLDN3 expression resulted in significant increases in the cell proliferation, anchorage-dependent growth, migration and drug-resistance. In addition, epidermal growth factor (EGF) signaling pathway modulates the expression of claudins in a number of solid tumors. However, the mechanism of tight junction regulation by EGF in ADC remains unclear. To investigate this mechanisms, ADC cell lines were treated with EGF and its inhibitor. EGF unregulated CLDN3 expression via the MEK/ERK or PI3K/Akt signaling pathways and was required for the maintenance of baseline CLDN3 expression. Furthermore, downregulation of CLDN3 expression in ADC cell was found to prevent the EGF-induced increase in cell proliferation. In conclusion, our results demonstrate a novel role of CLDN3 overexpression in promoting the malignant potential of lung adenocarcinoma. This function is potentially regulated by the EGF-activated MEK/ERK and PI3K-Akt pathways.

Evaluating the clinical feasibility: The direct bisulfite genomic sequencing for examination of methylated status of E3 ubiquitin ligase RNF180 DNA promoter to predict the survival of gastric cancer.

BACKGROUND: E3 ubiquitin ligase Ring finger protein 180 (RNF180) has been identified as a novel tumor suppressor in gastric cancer and the methylated CpG site count of RNF180 DNA promoter can predict the prognosis for gastric cancer patients. OBJECTIVE: In the previous study, we demonstrated that methylated CpG site count of RNF180 DNA promoter was significantly associated with the survival of patients with gastric cancer using the bisulfite genomic sequencing (BGS) in the gastric cancer tissue with five clones per sample. It was so complicate for each patient underwent the BGS detection with clones. It is important to explore a simple, rapid and accurate method to detect methylated CpG site count to predicting the prognosis for gastric cancer patients. METHODS: At present study, we detected hypermethylated and hypomethylated CpG site count of RNF180 DNA promoter in samples of 480 gastric cancer patients by direct bisulfite sequencing. RESULTS: We found that patients who possessed seven or less hypermethylated CpG sites of RNF180 DNA promoter had much better survival (p= 0.008), which was similar to our previous research results by using the BGS with clones. With the multivariate survival analysis, we found that T stage, N stage and hypermethylated CpG site count of RNF180 DNA promoter were the independent predictors of prognosis for gastric cancer patients. CONCLUSIONS: hypermethylated CpG site count of RNF180 DNA promoter for evaluating the prognosis of gastric cancer was reasonable by using the direct bisulfite sequencing.

Poor survival is associated with the methylated degree of zinc-finger protein 545 (ZNF545) DNA promoter in gastric cancer.

Zinc-finger protein 545 (ZNF545) was identified as a gastric tumour suppressor and potentially independent prognostic factor. At the present study, we found that lower expression of ZNF545 was specific in gastric cancer (GC) tissues, and the inconsistently methylated levels of ZNF545 promoter were identified in the gastric cancer tissues. In the methylation-specific PCR (MSP) analysis cohort, we found that GC patients with hypermethylated ZNF545 promoter exhibited significantly shorter median OS than those with unmethylated ZNF545 promoter and those with hypomethylated ZNF545 promoter. In the other cohort, we also demonstrated that GC patients with three or more methylated CpG sites in the ZNF545 promoter were significantly associated with poor survival by using the bisulphite gene sequencing (BGS). The methylated degrees of five CpG sites (-232, -214, -176, -144 and -116) could also provide distinct survival discrimination of patients with GC. These findings indicated that the methylated CpG sites of the ZNF545 promoter could be used for the clinical prediction of the prognosis of GC.

Expression of KAP1 in epithelial ovarian cancer and its correlation with drug-resistance.

KAP1 is a universal corepressor for Kruppel-associated box zinc finger proteins. In this study, expression level of KAP1 and its association with drug resistance and expression of P-gp and BCRP in epithelial ovarian cancer were investigated. Immunohistological staining of KAP1 in cancer and matched paraneoplastic tissues was evaluated in 242 patients with epithelial ovarian cancer. Immunohistological staining of P-gp and BCRP were also evaluated, and the associations with the expression of KAP1 in epithelial ovarian cancer were investigated. MTT assay for cell proliferation and clonogenic survival assay were applied to determine the effect of KAP1 on the sensitivity of DDP, through up-regulating the level of KAP1 expression of SKOV3 using KAP1 plasmid and down-regulating the level of KAP1 expression of SKOV3/DDP using siRNA. The results demonstrated that the expression levels of KAP1 in cancer tissues were higher than matched paraneoplastic tissues (t = 21.39, P<0.001). The patients with higher KAP1 expression often had drug resistance, and the level of KAP1 expression was positively correlated with the expression of P-gp and BCRP (P = 0.07 and P<0.001 respectively). Up-regulated the expression of KAP1 in SKOV3 cell line induced the up-regulated expression of BCRP and P-gp, increasing the resistance of chemotherapeutic drug, and down-regulated the expression of KAP1 got opposite effects. KAP1 expression correlated with aggressive clinical features in ovarian cancer, maybe through regulating the expression of P-gp and BCRP.

Applicability of the methylated CpG sites of paired box 5 (PAX5) promoter for prediction the prognosis of gastric cancer.

Paired box gene 5 (PAX5), a member of the paired box gene family, is involved in control of organ development and tissue differentiation. In previous study, PAX5 promoter methylation was found in gastric cancer (GC) cells and tissues. At present study, we found that the inconsistently methylated levels of PAX5 promoter were identified in the different GC tissues. The methylated CpG site count and the methylated statuses of four CpG sites (-236, -183, -162, and -152) were significantly associated with the survival of 460 GC patients, respectively. Ultimately, the methylated CpG -236 was the optimal prognostic predictor of patients identified by using the Cox regression with AIC value calculation. These findings indicated that the methylated CpG -236 of PAX5 promoter has the potential applicability for clinical evaluation the prognosis of GC.

Clinical significance of the methylated cytosine-phosphate-guanine sites of protocadherin-10 promoter for evaluating the prognosis of gastric cancer.

BACKGROUND: Protocadherin-10 (PCDH10) has been identified as a tumor suppressor gene in multiple carcinomas. In this study, we intended to elucidate the clinical applicability of the methylation of CpG sites of PCDH10 promoter for prognostic prediction in gastric cancer (GC). STUDY DESIGN: Qualitative and quantitative detections of PCDH10 promoter methylation were performed with methylation-specific polymerase chain reaction (MSP) and bisulphite genomic sequencing, respectively. The methylated statuses of 27 cytosine-phosphate-guanine (CpG) sites in PCDH10 promoter were detected in a series of 458 GC tissues to supply precise information of prognostic prediction. Associations between molecular, clinicopathologic, and survival data were analyzed. RESULTS: Protocadherin-10 promoter methylation was found in 91.92% in all patients. Gastric cancer patients with 5 or more methylated CpG sites of PCDH10 promoter was significantly associated with poorer survival (p = 0.038). Meanwhile, methylation of combined CpG (-115, -108, -13, and +3) sites was also identified to provide elaborate survival discrimination for GC patients (p = 0.044). On multivariate survival analysis, methylation of combined CpG (-115, -108, -13, and +3) sites (hazard ratio [HR] = 1.255; p = 0.049) was identified to be an independent prognostic indicator of GC, as were N stage and T stage. Additionally, the methylation of combined CpG (-115, -108, -13, and +3) sites had smaller Akaike information criterion (AIC) and Bayesian information criterion (BIC) values than the other 2 independent predictors of the survival. Ultimately, we demonstrated that the methylation of combined CpG (-115, -108, -13, and +3) sites was negatively associated with PCDH10 expression in GC tissues. CONCLUSIONS: The methylated CpG sites of PCDH10 promoter had significant applicability for clinical evaluation of the prognosis of GC.

The survival decrease in gastric cancer is associated with the methylation of B-cell CLL/lymphoma 6 member B promoter.

The methylation of B-cell CLL/lymphoma 6 member B (BCL6B) DNA promoter was detected in several malignancies. Here, we quantitatively detect the methylated status of CpG sites of BCL6B DNA promoter of 459 patients with gastric cancer (GC) by using bisulfite gene sequencing. We show that patients with three or more methylated CpG sites in the BCL6B promoter were significantly associated with poor survival. Furthermore, by using the Akaike information criterion value calculation, we show that the methylated count of BCL6B promoter was identified to be the optimal prognostic predictor of GC patients.