Blockade of the B7:CD28 costimulatory pathway has emerged as a promising therapy to prevent allograft rejection. However, results from the belatacept phase III clinical trial demonstrated a higher rejection rate when compared to cyclosporine, raising concern about potential deleterious effects of this agent. In this study, we investigated the consequences of B7:CD28 blockade by hCTLA4Ig on regulator T cell (Treg) generation in different major histocompatibility complex (MHC) mismatch transplant models. Administration of hCTLA4Ig significantly decreased the amount of Tregs in B6 WT animals and this effect was predominant in thymusinduced Tregs (Helios + ). Although hCTLA4Ig prevented rejection in a fully allogeneic mismatch model, it accelerated rejection in a MHC class-II mismatch model (MST = 26, p < 0.0001), in which long-term allograft survival is dependent on Tregs. This accelerated rejection was associated with a marked reduction in thymus-induced Tregs and led to a higher effector/regulatory T-cell ratio in secondary lymphoid organs and in the allograft. This study confirms the importance of the B7:CD28 pathway in Treg homeostasis in an in vivo transplant model and suggests that hCTLA4Ig therapy may be deleterious in circumstances where engraftment is dependent on Tregs.

Cutaneous malignant melanoma (hereafter called melanoma) is one of the most aggressive cancers with increasing incidence and mortality rates worldwide. In this study, we performed a systematic investigation of the tumor microenvironmental and genetic factors associated with melanoma to identify prognostic biomarkers for melanoma. We calculated the immune and stromal scores of melanoma patients from the Cancer Genome Atlas (TCGA) using the ESTIMATE algorithm and found that they were closely associated with patients' prognosis. Then the differentially expressed genes were obtained based on the immune and stromal scores, and prognostic immune-related genes further identified. Functional analysis and the protein-protein interaction network further revealed that these genes enriched in many immunerelated biological processes. In addition, the abundance of six infiltrating immune cells was analyzed using prognostic immune-related genes by TIMER algorithm. The unsupervised clustering analysis using immune-cell proportions revealed eight clusters with distinct survival patterns, suggesting that dendritic cells were most abundant in the microenvironment and CD8 + T cells and neutrophils were significantly related to patients' prognosis. Finally, we validated these genes in three independent cohorts from the Gene Expression Omnibus database. In conclusion, this study comprehensively analyzed the tumor microenvironment and identified prognostic immune-related biomarkers for melanoma. K E Y W O R D S cutaneous melanoma, GEO, prognosis, TCGA, tumor microenvironment

Accumulating evidence implies that N6-methyladenosine (m6A) methylation participated in the tumorigenesis of gastric cancer (GC). Here we synthetically analyzing the prognostic value and expression profile of seven m6A methylation-relevant genes through silico analysis of sequencing data downloaded from The Cancer Genome Atlas, Kaplan-Meier plotter, and Gene Expression Omnibus database. We explored the methyltransferase-like 3 (METTL3) expression in GC cell line and tumor tissues by reverse transcription quantitative polymerase chain reaction and western blot analysis.The m6A methylation status of total RNA was measured by m6A RNA methylation quantification kit. Small interfering RNA was used to establish METTL3 knockdown cell lines. We also measure the proliferation and migration capability GC cell. Furthermore, we detect the epithelial cell mesenchymal transition marker and m6A methylation level after METTL3 knock down. Our result revealed that METTL3 was significantly increased in GC tissues compared with control in big crowd data sets. Survival analysis showed that METTL3 serve as a poor prognostic factor for GC patients. The expression level of METTL3 gradually increased with the progress of tumor stage and grade. GFI1 is an important transcription factor associated with METTL3. We verified the up-trend of METTL3 in messenger RNA and protein expression and observed a significant increase in the m6A methylation status of total RNA in the GC cells and tissues. METTL3 knockdown inhibited total RNA m6A methylation level, as well as cell proliferation and migration capacity. Moreover, METTL3 knockdown decreased α-smooth muscle actin.Taken together, our finding revealed that m6A methylation writer METTL3 serve as an oncogene in tumorigenesis of GC.

SummaryReliable cell nuclei segmentation is an important yet unresolved problem in biological imaging studies. This paper presents a novel computerized method for robust cell nuclei segmentation based on gradient flow tracking. This method is composed of three key steps: (1) generate a diffused gradient vector flow field; (2) perform a gradient flow tracking procedure to attract points to the basin of a sink; and (3) separate the image into small regions, each containing one nucleus and nearby peripheral background, and perform local adaptive thresholding in each small region to extract the cell nucleus from the background. To show the generality of the proposed method, we report the validation and experimental results using microscopic image data sets from three research labs, with both over-segmentation and under-segmentation rates below 3%. In particular, this method is able to segment closely juxtaposed or clustered cell nuclei, with high sensitivity and specificity in different situations.

We demonstrate that a genetic disorder of gray matter heterotopia shares behavioral characteristics with developmental dyslexia, and that focal white matter defects in this disorder may serve as the structural brain basis of this phenomenon. Our findings represent a potential model for the use of developmental brain malformations in the investigation of abnormal cognitive function.

Purpose: Gastric cancer (GC) is aggressive cancer with a high mortality rate worldwide. N6-methyladenosine (m6A) RNA methylation is related to tumorigenesis, which is dynamically regulated by m6A modulators ("writer," "eraser," and "reader"). We conducted a comprehensive analysis of the m6A genes of GC patients in TCGA datasets to identify the potential diagnostic biomarkers. Materials and Methods: We analyzed the expression profile of m6A genes in the TCGA cohort and constructed a diagnostic-m6A-score (DMS) by the LASSO-logistic model. In addition, by consensus cluster analysis, we identified two different subgroups of GC risk individuals by the expression profile of m6A modulators, revealing that YTHDF1's expression variation profile in GC diagnosis. We also performed RT-qPCR and WB verification in 17 pairs of GC specimens and paired adjacent non-tumor tissues and GC cell lines, and verified the expression trend of YTHDF1 in five GEO GC datasets. YTHDF1 expression and clinical features of GC patients were assessed by the UALCAN. Results: The DMS with high specificity and sensitivity (AUC = 0.986) is proven to distinguish cancer from normal controls better. Moreover, we found that the expression profile variation of YTHDF1 was significantly associated with the high-risk subtype of GC patients. RT-qPCR and Western blot results are consistent with silicon analysis, revealing that YTHDF1's potential oncogene role in GC tumor. Conclusion: In conclusion, we developed the m6A gene-based diagnostic signature for GC and found that YTHDF1 was significantly correlated with the high-risk subtype of GC patients, suggesting that YTHDF1 might be a potential target in GC early diagnosis.

Lung squamous cell carcinoma (LUSC) is one of the main histological types of lung cancer with high mortality. The role of microRNA-486-5p in LUSC remains unclear. In the current study, the aim was to explore miR-486-5p expression and its role in LUSC. The miR-486-5p expression was significantly low-expressed in patients with LUSC from The Cancer Genome Atlas database, which was further confirmed in the Gene Expression Omnibus database, patients' tissues, different cell lines by quantitative real-time polymerase chain reaction, and the high-throughput gene sequencing data of lung tissues of mice after a long-term B(a)P exposure. The meta-analysis was performed to evaluate the expression and diagnosis power of miR-486-5p (standard mean difference = −2.25; 95% confidence interval: −3.47 to −1.03; P = 0.0003; area under curve = 0.9082). Functional enrichment analysis revealed the potential function of miR-486-5p in LUSC using gene set enrichment analysis and clusterProfiler package in R software. At last, the hub genes (PTEN, TEK, PIK3R1, PPM1B, SMAD2, and SPTA1) of miR-486-5p were verified. In conclusion, miR-486-5p may be a LUSC antioncogene, playing an important role to serve as a biomarker in LUSC.

Background Recent scientific evidence has suggested that microRNAs (miRNAs) play an important role in papillary thyroid cancer (PTC). In the current study, we aim to identify a miRNA‐related signature as the sensitive and novel prognostic biomarkers. Methods We performed a comprehensive analysis of the data downloaded from the Cancer Genome Atlas (TCGA) database. The association between survival outcome and miRNA was assessed by the univariate and multivariate Cox proportional hazards model. The risk score model was built to evaluate the predicting value of miRNA signature. The potential biofunctions and transcription factors of target miRNAs were investigated through bioinformatic analysis. The result was verified by the quantitative real‐time polymerase chain reaction (qRT‐PCR) in 32 pairs of PTC and adjacent nontumor tissues. In addition, the results were verified by other cohorts from gene expression omnibus (GEO) as detected by microarrays. Results A total of 1030 miRNAs were identified from the TCGA database. Thirty‐six key intersection miRNAs were obtained. The associations between clinical features and key miRNAs were evaluated. Eventually, a two‐miRNA signature (hsa‐miR‐181a‐2‐3p and hsa‐miR‐138‐1‐3p) was identified. The power of the miRNA prognostic signature was effective. In total, we identified 202 genes that were associated with 2 miRNAs above, and the top 10 enriched transcript factors that highly related with the target miRNAs were explored. The qRT‐PCR and GEO data validation were consistent with bioinformatics results. Conclusions A tumor‐specific miRNA signature was identified, and the joint prognostic power was evaluated, which may be potential biomarkers for prognosis of PTC. Impact: The two‐miRNA signature could become the potential prognostic indicator of PTC in the future.