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The occurrence of fungal infection seriously affects the survival and life quality of transplanted patients. The accurate diagnosis is of particular importance in the early stage of infection. To develop a novel diagnostic method for this kind of patient, we established a post-transplant immunosuppressed mice model with fungus inoculation and collected their peripheral blood at specific time points after infection. After screening by microarray, differentially expressed miRNAs and lncRNAs were selected and homologously analyzed with those of human beings from the gene database. These miRNAs and lncRNAs candidates were validated by qRT-PCR in peripheral blood samples from transplanted patients. We found that, compared with normal transplanted patients, the levels of miR-215 and miR-let-7 c were up-regulated in the plasma of patients with fungal infection (P

Background The copper metabolism MURR1 domain (COMMD) protein family involved in tumor development and progression in several types of human cancer, but little is known about the function of COMMD proteins in hepatocellular carcinoma (HCC). Methods The ONCOMINE and the UALCAN databases were used to evaluate the expression of COMMD1–10 in HCC and the association of this family with individual cancer stage and tumor grade. Kaplan-Meier (K-M) Plotter and Cox analysis hint the prognostic value of COMMDs. A network comprising 50 most similar genes and COMMD1–10 was constructed with the STRING database. Gene set enrichment analysis (GSEA) was performed using LinkedOmics database. The correlations between COMMD expression and the presence of immune infiltrating cells were also analyzed by the tumor immune estimation resource (TIMER) database. GSE14520 dataset and 80 HCC patients were used to validated the expression and survival value of COMMD3. Human HCC cell lines were also used for validating the function of COMMD3. Results The expression of all COMMD family members showed higher expression in HCC tissues than that in normal tissues, and is associated with clinical cancer stage and pathological tumor grade. In HCC patients, the transcriptional levels of COMMD1/4 are positively correlated with overall survival (OS), while those of COMMD2/3/7/8/9 are negatively correlated with OS. Multivariate analysis indicated that a high level of COMMD3 mRNA is an independent prognostic factor for shorter OS in HCC patients. However, the subset of patients with grade 3 HCC, K-M survival curves revealed that high COMMD3/5/7/8/9 expression and low COMMD4/10 expression were associated with shorter OS. In addition, the expression of COMMD2/3/10 was associated with tumor-induced immune response activation and immune infiltration in HCC. The expression of COMMD3 from GSE14520 dataset and 80 patients are both higher in tumor than that in normal tissue, and a higher level of COMMD3 mRNA is associated with shorter OS. Knockdown of COMMD3 inhibits human HCC cell lines proliferation in vitro. Conclusions Our study indicates that COMMD3 is an independent prognostic biomarker for the survival of HCC patients. COMMD3 supports the proliferation of HCC cells and contributes to the poor OS in HCC patients.

Background and Objectives Mesenchymal stem cells (MSCs) have the multipotent capacity to differentiate into multiple tissue lineages as well as to self-renew, which is the main origin of adipocytes. IL6/IL6R pathway exerts a significant role in tissue regeneration and cell differentiation. Whereas, the underlying mechanism between IL6/IL6R pathway and MSCs adipogenesis differentiation remains elusive. Methods MSCs from healthy donors were cultured in adipogenesis differentiation medium for 0∼14 days, during which their adipogenesis differentiation degree was evaluated by Oil Red O staining. The expression of IL6R was detected in MSCs during adipogenesis differentiation. Knockdown and overexpression of IL6R were respectively performed using siRNA and lentivirus to investigate its effect on MSCs adipogenesis differentiation. The adipogenesis marker genes expression and MAPK pathway activation were detected by Western blotting. The role of P38 pathway in the adipogenesis differentiation of MSCs was determined using the specific inhibitor SB203580. Results The expression of IL6 and IL6R increased during adipogenesis differentiation in MSCs, which were positively correlated with Oil Red O quantification result. Knockdown and overexpression experiments demonstrated a positive correlation between the expressions of IL6R and MSCs adipogenesis differentiation, accompanied by same trend of P38 phosphorylation. Besides, the specific P38 inhibitor SB203580 markedly inhibited the adipogenesis differentiation potential of MSCs. Conclusions This study reveals IL6R facilitates the adiogenesis differentiation of MSCs via activating P38 pathway.

Yiwen Guo,1– 3,* Weixin Luo,1– 3,* Shanzhou Huang,4,* Wenting Zhao,5 Huadi Chen,1– 3 Yihao Ma,1– 3 Maodong Ye,1– 3 Yu Nie,1– 3 Yixi Zhang,6 Changjun Huang,1– 3 Qi Zhou,7,8 Xiaoshun He,1– 3 Maogen Chen1– 3 1Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, People’s Republic of China; 2Guangdong Provincial Key Laboratory of Organ Donation and Transplant Immunology, Guangzhou, 510080, People’s Republic of China; 3Guangdong Provincial International Cooperation Base of Science and Technology (Organ Transplantation), Guangzhou, 510080, People’s Republic of China; 4Department of General Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, People’s Republic of China; 5School of Traditional Chinese Medicine, Southern Medical University, Guangdong, Guangzhou, 510515, People’s Republic of China; 6Liver Transplantation Center, Beijing Friendship Hospital, Capital Medical University, Beijing, 100005, People’s Republic of China; 7Department of General Surgery, Hui Ya Hospital of The First Affiliated Hospital, Sun Yat-sen University, Huizhou, Guangdong, 516081, People’s Republic of China; 8Department of Liver Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510080, People’s Republic of China*These authors contributed equally to this workCorrespondence: Maogen Chen; Xiaoshun HeOrgan Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, No. 58 Zhongshan Er Road, Guangzhou, 510080, People’s Republic of ChinaTel +86-18122731962; +86-20-87306082Fax +86-20-87306082Email gdtrc@163.com; chenmg3@mail.sysu.edu.cnIntroduction: Hepatocellular carcinoma (HCC) is the most common malignant tumor of the liver. Identifying specific molecular markers that can predict HCC prognosis is extremely important. The protein deoxythymidylate kinase (DTYMK) has been reported to contribute to unfavorable prognosis in non-small cell lung cancer patients, but its role in the prediction of HCC patient prognosis has not been clarified.Methods: Samples from the TCGA and GEO databases were consecutively enrolled for gene expression analysis, clinicopathology analysis, immune microenvironment analysis and chemotherapeutic response prediction. The results were validated using 86 samples from the First Affiliated Hospital of Sun Yat-sen University. Cox regression analysis was used to analyze the effect of DTYMK on progression-free survival (PFS) and overall survival (OS). Functional enrichment analysis was used to describe the marker pathways that were significantly related to DTYMK. TIMER (Tumor Immune Estimation Resource), TISIDB (Tumor and Immune System Interaction DataBase) and CIBERSORT (Cell type Identification By Estimating Relative Subsets Of RNA Transcripts) were used to explore the immune microenvironment.Results: We found that DTYMK expression upregulation is associated with poor prognosis in HCC patients and tightly related to the pathways regulating the cell cycle and acid metabolism. Our findings revealed that hepatocellular carcinoma cell lines with high DTYMK expression were more sensitive to sorafenib and many other chemotherapeutic drugs. We also found an inhibiting effect of DTYMK on the immune microenvironment in the process of tumorigenesis.Discussion: We found that DTYMK has potential as a new prognostic and chemotherapeutic response biomarker for HCC patients and correlates with the immune microenvironment in HCC. However, there are some deficiencies in our study. First, this is a retrospective study that may lead to selection bias. Second, the protein expression of DTYMK was investigated via immunohistochemical analysis. Finally, we did not explore the exact underlying molecular mechanisms of DTYMK in tumorigenesis in this study, which is needed to be clarified in future research.Keywords: hepatocellular carcinoma, DTYMK, cell cycle, immune infiltration, TCGA

BACKGROUND: To explore the relationship between early allograft dysfunction (EAD) and post-reperfusion liver appearance, and to develop image-based models which predict EAD and short-term mortality. METHODS: A total of 351 recipients of liver transplant were enrolled and divided into training set and testing set. Liver images of post-reperfusion donors and clinical information were collected. All the images were preprocessed. Support vector machines (SVM) and convolution neural network (CNN) models based on the texture analysis of post-reperfusion liver RGB images were constructed to predict EAD. Then, the model with a better performance was selected to construct further predictive models with additional inputs of clinical information. In addition, a score, namely image score, was assigned to each liver image based on the prediction probability from the CNN model. Further, the comparisons of outcomes among different image scores were performed. RESULTS: Out of the 351 enrolled recipients, 229 were in the training set while 122 in the testing set. CNN model achieved an AUC of 0.709 in testing set, outperforming the SVM model which has an AUC of 0.661. Further predictive model was based on the framework of the CNN model, where an AUC of 0.727 was obtained. Moreover, the lager image score was found to be relative to more postoperative infusion, more postoperative complication, the longer length of ICU and hospital stay. CONCLUSION: The post-reperfusion appearance of donor liver was associated with the occurrence of EAD. Moreover, it was feasible to predict EAD and patient outcomes through the texture analysis of post-reperfusion liver RGB images.

Long non‑coding RNAs (lncRNAs) serve a pivotal role in hepatocellular carcinoma (HCC) progression and have been confirmed to participate in the carcinogenesis and development of HCC. Certain studies have focused on lncRNA nuclear enriched abundant transcript 1 (NEAT1) in HCC. However, the relationship between lncRNA NEAT1 and HCC remains unclear. The present study found that NEAT1 was significantly overexpressed in HCC cell lines compared with LX‑2 hepatic stellate cells. NEAT1 expression in Huh7 and MHCC‑97H cells was increased following transfection with lentivirus (LV)‑NEAT1 but inhibited by LV‑short hairpin NEAT1. Knockdown of NEAT1 significantly repressed HCC cell viability, increased cell apoptosis, and inhibited cell migration and invasion capacity. By contrast, upregulation of NEAT1 demonstrated the reverse effects. Furthermore, microRNA‑320a (miR‑230a) was predicted to be a direct target of NEAT1 and was significantly reduced in HCC cells. Additionally, a luciferase activity reporter assay and RNA immunoprecipitation assay were performed to confirm the interaction between miR‑320a and NEAT1. Using a dual‑luciferase activity assay, L antigen family member 3 (LAGE3) was found to be a target of miR‑320a. Finally, in vivo nude mouse models were established, and the results indicated that NEAT1 suppressed HCC progression by targeting miR‑320a. In conclusion, the present findings revealed that the NEAT1/miR‑320a/LAGE3 axis participates in HCC development and that NEAT1 could be used as a biomarker for HCC.

Background MicroRNAs (miRNAs) play a pivotal role in hepatocellular carcinoma (HCC) progression and have been confirmed to participate in the carcinogenesis and development of HCC. However, the relationship between miR-497-5p and HCC remains unclear. Methods Kaplan–Meier curve analysis and the log-rank test were used to investigate the efficacy of miR-497-5p on overall survival (OS) and disease-free survival (DFS) in patients with HCC. According to in vitro experiments, programmed cell death 4 (PDCD4) was a target of miR-497-5p by the dual-luciferase activity assay. The efficacy of PDCD4 on cell proliferation and metastasis in HCC was examined by transwell assays, CCK-8 assays and reverse transcription quantitative PCR (RT-qPCR). Additionally, we conducted a luciferase activity reporter assay to confirm the interaction between lncRNA XIST and miR-49-5p. Then, to evaluate the relationship between lncRNA XIST and miR-497-5p, several mechanistic experiments, including qRT-PCR, Western blotting, transwell assays and tumor xenograft assays, were performed. Results miR-497-5p was upregulated in HCC tissues, and high expression of miR-497-5p resulted in increases in tumor size and tumor number and a higher tumor-node-metastasis (TNM) stage and Edmondson grade in patients with HCC. Silencing miR-497-5p inhibited the proliferation and migration of HCC cells. PDCD4, which was downregulated in HCC tissues, was shown to be a target of miR-497-5p and was negatively correlated with the expression of miR-497-5p. lncRNA XIST was found to act as a miR-497-5p sponge and to regulate the level of PDCD4, which is targeted by miR-497-5p. lncRNA XIST was observed to be downregulated in the HCC tissues and positively correlated with the expression of PDCD4. Conclusions Our findings reveal that the XIST/miR-497-5p/PDCD4 axis participates in HCC development and that XIST could be used as a biomarker of HCC.