Identification of immune-related hub genes in spinal cord injury.

OBJECTIVES: Immune regulation is a pivotal factor in the pathogenesis and repair of spinal cord injury (SCI). This study aims to explore potential immune center genes associated with spinal cord injury. METHODS: The public data set GSE151371 was obtained from the GEO database. The R software package "limma" was used to identify differentially expressed genes (DEGs) in SCI. GO, KEGG and GSEA pathway analyses were performed using the DEGs. The key module genes related to spinal cord injury were selected through WGCNA analysis. Overlapping genes were extracted from WGCNA, DEGs, and immune-related genes. LASSO analysis was employed to identify central genes associated with SCI immunity. Pearson correlation analysis assessed the correlation between hub genes and immune cells in SCI. In addition, we further investigated the hub genes' expression, diagnostic potential, function, and targeted drugs. RESULTS: We have identified three immunity-related hub genes (ABHD5, EDNRB, EDN3). Immune infiltration analysis showed that the hub gene was significantly associated with resting NK cells, M2 macrophages, and monocytes in the immune microenvironment of SCI. ROC analysis demonstrated that these hub genes have favorable diagnostic performance for SCI. Functional analysis revealed that ABHD5 is primarily associated with lipid metabolism pathways, while EDN3 and EDNRB are mainly involved in endothelin, downstream GPCR signaling, and ERK signaling transduction. In addition, we identified six potential targeted drugs based on our findings. CONCLUSIONS: ABHD5, EDNRB, and EDN3 are involved in processes such as SCI progression or repair through immunomodulation and deserve further study.

Molecular mechanisms of diabetic nephropathy: A narrative review.

Diabetic nephropathy (DN) is the predominant secondary nephropathy resulting in global end-stage renal disease. It is attracting significant attention in both domestic and international research due to its widespread occurrence, fast advancement, and limited choices for prevention and treatment. The pathophysiology of this condition is intricate and involves multiple molecular and cellular pathways at various levels. This article provides a concise overview of the molecular processes involved in the development of DN. It discusses various factors, such as signaling pathways, cytokines, inflammatory responses, oxidative stress, cellular damage, autophagy, and epigenetics. The aim is to offer clinicians a valuable reference for DN's diagnosis, treatment, and intervention.

FOXM1 transcriptional regulation.

FOXM1 is a key transcriptional regulator involved in various biological processes in mammals, including carbohydrate and lipid metabolism, aging, immune regulation, development, and disease. Early studies have shown that FOXM1 acts as an oncogene by regulating cell proliferation, cell cycle, migration, metastasis, and apoptosis, as well as genes related to diagnosis, treatment, chemotherapy resistance, and prognosis. Researchers are increasingly focusing on FOXM1 functions in tumor microenvironment, epigenetics, and immune infiltration. However, researchers have not comprehensively described FOXM1's involvement in tumor microenvironment shaping, epigenetics, and immune cell infiltration. Here we review the role of FOXM1 in the formation and development of malignant tumors, and we will provide a comprehensive summary of the role of FOXM1 in transcriptional regulation, interacting proteins, tumor microenvironment, epigenetics, and immune infiltration, and suggest areas for further research.

Mendelian randomization combined with multi-omics explores the relationship between heart failure and cancer.

Background: Whether there is an association between HF (HF) and cancer has not been conclusively established, and it is not clear whether patients with cancer can share similar hospitalization strategies and outcomes with patients with HF. Methods: Genome-wide association summary statistics were performed using a two-sample Mendelian randomization (MR) method for HF patients and cancer patients from the GWAS directory, with co-localization and Summary Data-Based Mendelian Randomization (SMR) analyses to identify HF-associated genes, and transcriptomic analyses to analyze the roles of these genes in the clinical diagnosis and targeted therapies of multiple cancer types. Results: Two-sample MR analysis showed that increased risk of HF was associated with decreased risk of cervical, brain, breast, colorectal, lung, and skin cancers, and co-localization combined with SMR analysis identified ABO and SURF1 as HF-associated genes, and transcriptomic analyses showed that ABO is a risk factor for HF and a protective factor against cancer, whereas SURF1 is a protective factor against HF and a protective factor against cancer. Conclusion: There was no causal relationship between heart failure and cancers (Cervical, brain, breast, colorectal, lung and skin cancers) risk factors, however there was a trend toward a negative causal relationship between heart failure and cancers (Cervical, brain, breast, colorectal, lung and skin cancers) occurrence.

IQGAP3 promotes the progression of glioma as an immune and prognostic marker.

Background: IQGAP3 plays a crucial role in regulating cell proliferation, division, and cytoskeletal organization. Abnormal expression of IQGAP3 has been linked to various tumors, but its function in glioma is not well understood. Methods: Various methods, including genetic differential analysis, single-cell analysis, ROC curve analysis, Cox regression, Kaplan-Meier analysis, and enrichment analysis, were employed to analyze the expression patterns, diagnostic potential, prognostic implications, and biological processes involving IQGAP3 in normal and tumor tissues. The impact of IQGAP3 on immune infiltration and the immune microenvironment in gliomas was evaluated using immunofluorescence. Additionally, the cBioPortal database was used to analyze copy number variations and mutation sites of IQGAP3. Experimental validation was also performed to assess the effects of IQGAP3 on glioma cells and explore underlying mechanisms. Results: High IQGAP3 expression in gliomas is associated with an unfavorable prognosis, particularly in wild-type IDH and 1p/19q non-codeleted gliomas. Enrichment analysis revealed that IQGAP3 is involved in regulating the cell cycle, PI3K/AKT signaling, p53 signaling, and PLK1-related pathways. Furthermore, IQGAP3 expression may be closely related to the immunosuppressive microenvironment of glioblastoma. BRD-K88742110 and LY-303511 are potential drugs for targeting IQGAP3 in anti-glioma therapy. In vitro experiments showed that downregulation of IQGAP3 inhibits the proliferation and migration of glioma cells, with the PLK1/PI3K/AKT pathway potentially playing a crucial role in IQGAP3-mediated glioma progression. Conclusion: IQGAP3 shows promise as a valuable biomarker for diagnosis, prognosis, and immunotherapeutic strategies in gliomas.

Role of transcription factor FOXM1 in diabetes and its complications (Review).

Diabetes mellitus is a chronic metabolic disease commonly associated with complications such as cardiovascular disease, nephropathy and neuropathy, the incidence of which is increasing yearly. Transcription factor forkhead box M1 (FOXM1) serves an important role in development of diabetes and its complications. The present study aimed to review the association between FOXM1 with pathogenesis of diabetes and its complications. FOXM1 may be involved in development and progression of diabetes and its complications by regulating cell biological processes such as cell cycle, DNA damage repair, cell differentiation and epithelial­mesenchymal transition. FOXM1 is involved in regulation of insulin secretion and insulin resistance, and FOXM1 affects insulin secretion by regulating expression of insulin­related genes and signaling pathways; FOXM1 is involved in the inflammatory response in diabetes, and FOXM1 can regulate key genes associated with inflammatory response and immune cells, which in turn affects occurrence and development of the inflammatory response; finally, FOXM1 is involved in the regulation of diabetic complications such as cardiovascular disease, nephropathy and neuropathy. In summary, the transcription factor FOXM1 serves an important role in development of diabetes and its complications. Future studies should explore the mechanism of FOXM1 in diabetes and find new targets of FOXM1 as a potential treatment for diabetes and its complications.

Histone demethylases in the regulation of immunity and inflammation.

Pathogens or danger signals trigger the immune response. Moderate immune response activation removes pathogens and avoids excessive inflammation and tissue damage. Histone demethylases (KDMs) regulate gene expression and play essential roles in numerous physiological processes by removing methyl groups from lysine residues on target proteins. Abnormal expression of KDMs is closely associated with the pathogenesis of various inflammatory diseases such as liver fibrosis, lung injury, and autoimmune diseases. Despite becoming exciting targets for diagnosing and treating these diseases, the role of these enzymes in the regulation of immune and inflammatory response is still unclear. Here, we review the underlying mechanisms through which KDMs regulate immune-related pathways and inflammatory responses. In addition, we also discuss the future applications of KDMs inhibitors in immune and inflammatory diseases.

A multi-subgroup predictive model based on clinical parameters and laboratory biomarkers to predict in-hospital outcomes of plasma exchange-centered artificial liver treatment in patients with hepatitis B virus-related acute-on-chronic liver failure.

Background: Postoperative risk stratification is challenging in patients with hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) who undergo artificial liver treatment. This study characterizes patients' clinical parameters and laboratory biomarkers with different in-hospital outcomes. The purpose was to establish a multi-subgroup combined predictive model and analyze its predictive capability. Methods: We enrolled HBV-ACLF patients who received plasma exchange (PE)-centered artificial liver support system (ALSS) therapy from May 6, 2017, to April 6, 2022. There were 110 patients who died (the death group) and 110 propensity score-matched patients who achieved satisfactory outcomes (the survivor group). We compared baseline, before ALSS, after ALSS, and change ratios of laboratory biomarkers. Outcome prediction models were established by generalized estimating equations (GEE). The discrimination was assessed using receiver operating characteristic analyses. Calibration plots compared the mean predicted probability and the mean observed outcome. Results: We built a multi-subgroup predictive model (at admission; before ALSS; after ALSS; change ratio) to predict in-hospital outcomes of HBV-ACLF patients who received PE-centered ALSS. There were 110 patients with 363 ALSS sessions who survived and 110 who did not, and 363 ALSS sessions were analyzed. The univariate GEE models revealed that several parameters were independent risk factors. Clinical parameters and laboratory biomarkers were entered into the multivariate GEE model. The discriminative power of the multivariate GEE models was excellent, and calibration showed better agreement between the predicted and observed probabilities than the univariate models. Conclusions: The multi-subgroup combined predictive model generated accurate prognostic information for patients undergoing HBV-ACLF patients who received PE-centered ALSS.

Development and validation of lymph node ratio-based nomograms for primary duodenal adenocarcinoma after surgery.

Background: The prediction models for primary duodenal adenocarcinoma (PDA) are deficient. This study aimed to determine the predictive value of the lymph node ratio (LNR) in PDA patients and to establish and validate nomograms for predicting overall survival (OS) and cancer-specific survival (CSS) for PDAs after surgical resection. Methods: We extracted the demographics and clinicopathological information of PDA patients between 2004 and 2018 from the Surveillance, Epidemiology and End Results database. After screening cases, we randomly divided the enrolled patients into training and validation groups. X-tile software was used to obtain the best cut-off value for the LNR. Univariate and multivariate Cox analyses were used in the training group to screen out significant variables to develop nomograms. The predictive accuracy of the nomograms was evaluated by the concordance index (C-index), calibration curves, area under the receiver operating characteristic curve (AUC) and decision curve analysis (DCA). Finally, four risk groups were created based on quartiles of the model scores. Results: A total of 978 patients were included in this study. The best cut-off value for the LNR was 0.47. LNR was a negative predictive factor for both OS and CSS. Age, sex, grade, chemotherapy and LNR were used to construct the OS nomogram, while age, grade, chemotherapy, the number of lymph nodes removed and LNR were incorporated into the CSS nomogram. The C-index, calibration curves and AUC of the training and validation sets revealed their good predictability. DCA showed that the predictive value of the nomograms was superior to that of the American Joint Committee on Cancer (AJCC) TNM staging system (8th edition). In addition, risk stratification demonstrated that patients with higher risk correlated with poor survival. Conclusions: The LNR was an adverse prognostic determinant for PDAs. The nomograms provided an accurate and applicable tool to evaluate the prognosis of PDA patients after surgery.

Prognostic Nomogram Based on the Metastatic Lymph Node Ratio for T1-4N0-1M0 Pancreatic Neuroendocrine Tumors After Surgery.

Purpose: This study aimed to investigate the prognostic significance of the metastatic lymph node ratio (LNR) in patients with pancreatic neuroendocrine tumors (pNETs) and to develop and validate nomograms to predict 5-, 7-, and 10-year overall survival (OS) and cancer-specific survival (CSS) rates for pNETs after surgical resection. Methods: The demographics and clinicopathological information of T1-4N0-1M0 pNET patients between 2004 and 2018 were extracted from the Surveillance, Epidemiology and End Results database. X-tile software was used to determine the best cutoff value for the LNR. Patients were randomly divided into the training and the validation groups. A Cox regression model was used in the training group to obtain independent prognostic factors to develop nomograms for predicting OS and CSS. The concordance index (C-index), calibration curves, area under the receiver operating characteristic curve (AUC) and decision curve analysis (DCA) were used to assess the nomograms. Patients were divided into four groups according to the model scores, and their survival curves were generated by the Kaplan-Meier method. Results: A total of 806 patients were included in this study. The best cutoff value for the LNR was 0.16. The LNR was negatively correlated with both OS and CSS. Age, sex, marital status, primary site, grade, the LNR and radiotherapy were used to construct OS and CSS nomograms. In the training group, the C-index was 0.771 for OS and 0.778 for CSS. In the validation group, the C-index was 0.737 for OS and 0.727 for CSS. The calibration curves and AUC also indicated their good predictability. DCA demonstrated that the nomograms displayed better performance than the American Joint Committee on Cancer (AJCC) TNM staging system (8th edition). Risk stratification indicated that patients with higher risk had a worse prognosis. Conclusions: The LNR is an independent negative prognostic factor for pNETs. The nomograms we built can accurately predict long-term survival for pNETs after surgery.

Ferulic acid attenuates oxidative DNA damage and inflammatory responses in microglia induced by benzo(a)pyrene.

Over-activation of microglia disrupts the physiological homeostasis of the brain, and induces inflammatory response and other processes which are implicated in neurodegenerative diseases. Therefore, theoretically, suppression of neuroinflammation would slow the progression of neurodegenerative disease. In this study, we investigated the possible protective effects of Ferulic acid (FA) against benzo(a)pyrene (BaP)-induced microglial activation using BV2 cells as the model system. Exposure of BV2 cells to BaP (10 µM) significantly increased DNA damage and the production of pro-inflammatory mediators, including nitric oxide (NO), inducible nitric oxide synthase (iNOS), cyclooxygenase-2 (COX-2), reactive oxygen species (ROS), malondialdehyde (MDA), and cytokines (interleukins-1ß and -6). On the other hand, when BaP-treated BV2 cells were further incubated with FA (10, 20, 40, or 80 mg/mL) for another 24 h, a significant reduction in BaP-induced DNA damage and the release of multiple pro-inflammatory and cytotoxic factors (including interleukin-1ß, interleukin-6, NO, and ROS) was observed in a dose-dependent manner. Further study revealed that the microglial NOD-like receptor (NLR) family pyrin domain-containing 3 (NLRP3) signaling pathway was involved in the protective effect of FA. Taken together, these results suggested that FA suppressed BaP-induced toxicity in microglia, and thus may exert neuroprotective effects by inhibiting microglia-mediated pro-inflammatory response.

MiR-28-5p relieves neuropathic pain by targeting Zeb1 in CCI rat models.

MicroRNAs (miRNAs) are recognized as significant regulators of neuropathic pain. Moreover, neuroinflammation can contribute a lot to the progression of neuropathic pain. MiR-28-5p has been reported to be involved in many pathological diseases. However, little is known about the function of miR-28-5p in neuropathic pain development. Our current study was designed to investigate the biological roles of miR-28-5p in neuropathic pain in a rat model established by chronic sciatic nerve injury (CCI). Here, we observed that miR-28-5p was decreased in CCI rats. MiR-28-5p overexpression was able to alleviate neuropathic pain behaviors including mechanical and thermal hyperalgesia. Meanwhile, inflammation-correlated biomarkers such as Cyclooxygenase 2 (Cox-2), interleukin-6 (IL-6), and IL-1ß were greatly promoted in CCI rats and they were inhibited by miR-28-5p upregulation. In addition, zinc finger E-box-binding homeobox 1 (Zeb1) is a kind of transcription factor that is involved in various diseases. Here, in our study, Zeb1 was predicted as a downstream target of miR-28-5p. miR-28-5p can bind with the 3'-untranslated region of Zeb1, which was validated by carrying out dual-luciferase reporter assay. Moreover, we found that Zeb1 was significantly increased in CCI rats and miR-28-5p can modulate Zeb1 expression negatively. Theoverexpression of Zeb1 can disturb neuropathic pain development, which was repressed by the increase of miR-28-5p by upregulating Cox-2, IL-6, and IL-1ß levels. By taking all of these together, it was indicated in our study that miR-28-5p can reduce neuropathic pain progression by targeting Zeb1 in vivo. Our data implied that miR-28-5p/Zeb1 axis can be a novel therapeutic target for neuropathic pain treatment.

Depletion of Paraspeckle Protein 1 Enhances Methyl Methanesulfonate-Induced Apoptosis through Mitotic Catastrophe.

Previously, we have shown that paraspeckle protein 1 (PSPC1), a protein component of paraspeckles that was involved in cisplatin-induced DNA damage response (DDR), probably functions at the G1/S checkpoint. In the current study, we further examined the role of PSPC1 in another DNA-damaging agent, methyl methanesulfonate (MMS)-induced DDR, in particular, focusing on MMS-induced apoptosis in HeLa cells. First, it was found that MMS treatment induced the expression of PSPC1. While MMS treatment alone can induce apoptosis, depletion of PSPC1 expression using siRNA significantly increased the level of apoptosis following MMS exposure. In contrast, overexpressing PSPC1 decreased the number of apoptotic cells. Interestingly, morphological observation revealed that many of the MMS-treated PSPC1-knockdown cells contained two or more nuclei, indicating the occurrence of mitotic catastrophe. Cell cycle analysis further showed that depletion of PSPC1 caused more cells entering the G2/M phase, a prerequisite of mitosis catastrophe. On the other hand, over-expressing PSPC1 led to more cells accumulating in the G1/S phase. Taken together, these observations suggest an important role for PSPC1 in MMS-induced DDR, and in particular, depletion of PSPC1 can enhance MMS-induced apoptosis through mitotic catastrophe.

Methyl methanesulfonate induces necroptosis in human lung adenoma A549 cells through the PIG-3-reactive oxygen species pathway.

Methyl methanesulfonate (MMS) is an alkylating agent that can induce cell death through apoptosis and necroptosis. The molecular mechanisms underlying MMS-induced apoptosis have been studied extensively; however, little is known about the mechanism for MMS-induced necroptosis. Therefore, we first established MMS-induced necroptosis model using human lung carcinoma A549 cells. It was found that, within a 24-h period, although MMS at concentrations of 50, 100, 200, 400, and 800 µM can induce DNA damage, only at higher concentrations (400 and 800 µM) MMS treatment lead to necroptosis in A549 cells, as it could be inhibited by the specific necroptotic inhibitor necrostatin-1, but not the specific apoptotic inhibitor carbobenzoxy-valyl-alanyl-aspartyl-[O-methyl]-fluoromethylketone (Z-VAD-fmk). MMS-induced necroptosis was further confirmed by the induction of the necroptosis biomarkers including the depletion of cellular NADH and ATP and leakage of LDH. This necroptotic cell death was also concurrent with the increased expression of p53, p53-induced gene 3 (PIG-3), high mobility group box-1 protein (HMGB1), and receptor interaction protein kinase (RIP) but not the apoptosis-associated caspase-3 and caspase-9 proteins. Elevated reactive oxygen species (ROS) level was also involved in this process as the specific ROS inhibitor (4-amino-2,4-pyrrolidine-dicarboxylic acid (APDC)) can inhibit the necroptotic cell death. Interestingly, knockdown of PIG-3 expression by small interfering RNA (siRNA) treatment can inhibit the generation of ROS. Taken together, these results suggest that MMS can induce necroptosis in A549 cells, probably through the PIG-3-ROS pathway.

Effects of cisplatin on the contractile function of thoracic aorta of Sprague-Dawley rats.

DNA-damaging agents have been reported to be associated with cardiovascular complications, however, the underlying mechanisms remain to be clarified. In the present study, the possible vascular effects of cisplatin was assessed by measuring its effects on the contractile function of thoracic aortic rings dissected from Sprague-Dawley (SD) rats. Contraction of the aortic ring was induced by 60 mM KCl or 10-6 M phenylephrine (PE) in an ex vivo perfusion system. Cisplatin (200 µM) counteracted KCl- and PE-induced contraction by 57.6 and 91.8%, respectively, in endothelium-intact aortic rings. Similar results were obtained in endothelium-denuded aortas. Electromicroscopy analysis revealed severe damage to blood vessel walls in vivo by cisplatin. In addition, cisplatin significantly inhibited adenosine triphosphate (ATP)-induced intracellular Ca2+ concentration ([Ca2+]i) increases in human umbilical vein endothelial cells (HUVECs). These results suggested that the DNA-damaging agent cisplatin can affect the contractile function of thoracic aortas. In addition, in accordance with its DNA-damaging properties, the cardiovascular toxicity of cisplatin may be the result of its direct cytotoxicity.

Comparison of microwave ablation and surgical resection for treatment of hepatocellular carcinomas conforming to Milan criteria.

BACKGROUND AND AIM: To compare the efficacy of microwave ablation (MWA) and surgical resection (RES) in the treatment of hepatocellular carcinoma (HCC) conforming to Milan criteria. METHODS: Two hundred twenty-four patients met the inclusion criteria and were enrolled in the study. One hundred and seventeen patients received MWA, and 107 patients underwent RES. The primary endpoints were overall survival (OS) and disease-free survival (DFS). RESULTS: The 1-, 3-, and 5-year OS rates were 94%, 70%, 52% for the MWA group and 94%, 72%, 60% for the RES group (P = 0.513). The corresponding DFS rates for the two groups were 77%, 38%, 18% and 85%, 57%, 31% (P = 0.005). In subgroup analyses of patients with solitary HCC ≤ 3 cm, there were no significant differences in OS rates and DFS rates between the two groups (P = 0.577 and P = 0.140). For patients with solitary HCC 3 to 5 cm, there was no significant differences in OS rates between the two groups (P = 0.820), the DFS rates was significantly higher in the RES group than in the MWA group (P = 0.014). CONCLUSIONS: MWA results in lower DFS rates than RES for HCC conforming to Milan criteria. However, the OS rates are comparable between the two therapies. For solitary HCC ≤ 3 cm, MWA is as effective as RES.

Global secretome characterization of A549 human alveolar epithelial carcinoma cells during Mycoplasma pneumoniae infection.

BACKGROUND: Mycoplasma pneumoniae (M. pneumoniae) is one of the major etiological agents for community-acquired pneumonia (CAP) in all age groups. The early host response to M. pneumoniae infection relies on the concerted release of proteins with various biological activities. However, no comprehensive analysis of the secretory proteins has been conducted to date regarding the host response upon M. pneumoniae infection. RESULTS: We employed the liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based label-free quantitative proteomic technology to identify and characterize the members of the human alveolar epithelial carcinoma A549 cell secretome during M. pneumoniae infection. A total of 256 proteins were identified, with 113 being differentially expressed (>1.5-fold change), among which 9 were only expressed in control cells, 10 only in M. pneumoniae-treated cells, while 55 were up-regulated and 39 down-regulated by M. pneumoniae. The changed expression of some of the identified proteins was validated by RT-PCR and immunoblot analysis. Cellular localization analysis of the secretome data revealed 59.38% of the proteins were considered as "putative secretory proteins". Functional analysis revealed that the proteins affected upon M. pneumoniae infection were mainly related to metabolic process, stress response, and immune response. We further examined the level of one up-regulated protein, IL-33, in clinical samples. The result showed that IL-33 levels were significantly higher in the plasma and bronchoalveolar lavage fluid (BALF) of M. pneumoniae pneumonia (MPP) patients. CONCLUSIONS: The present study provided systematic information about the changes in the expression of secretory proteins during M. pneumoniae infection, which is useful for the discovery of specific biomarkers and targets for pharmacological intervention.

Analysis of microRNA expression profiles in human hepatitis B virus-related hepatocellular carcinoma.

BACKGROUND: Increasing evidence has shown that the deregulation of microRNAs (miRNAs) is closely related to the development and progression of hepatocellular carcinoma (HCC). To screen for HCC-specific miRNAs, this study investigated the differentially expressed miRNAs between HCC and matched non-tumorous tissue (NT). METHODS: This study analyzed the differential expression profiles of miRNAs in 11 pairs of HCC and matched NT from 11 hepatitis B virus (HBV) infection patients with the RT2 miRNA PCR array containing 88 human cancer-related miRNAs. The fold change value was more than two between the HCC and the matched NT, which indicated that there was deregulation of miRNAs. The down-regulated let-7a was validated in another sample set of 34 tissues with the TaqMan RT-qPCR method. RESULTS: Compared with the matched NT tissues, 9 miRNAs were up-regulated in the HCC tissues, and three were considered statistically significant (p < 0.05): miR-96, miR-183, and miR-196a, which were up-regulated 4.746-, 7.127-, and 3.498-fold, respectively. Simultaneously, 9 miRNAs were down-regulated in the HCC tissues, and two were considered statistically significant: let-7c and miR-138, which were down-regulated 3.945- and 4.790-fold, respectively. The expression levels of let-7a were 1.071 +/- 0.401, 0.926 +/- 0.477, 0.881 +/- 1.214, and 0.535 +/- 0.719 in the healthy group, chronic hepatitis B(CHB) group, NT group, and HCC group, respectively (p > 0.05). CONCLUSIONS: This study demonstrates that 18 miRNAs were deregulated in the HCC and matched NT tissues. The deregulated miRNAs suggest that further analyses with larger miRNA samples as a diagnostic marker are warranted.

Gradually increased Golgi protein 73 expression in the progression of benign liver diseases to precancerous lesions and hepatocellular carcinoma correlates with prognosis of patients.

AIM: Serum Golgi protein 73 (sGP73) is a novel biomarker for hepatocellular carcinoma (HCC). However, there are few reports on the pattern of GP73 expression in the progression of benign liver diseases to precancerous lesions and HCC. This study aimed to investigate GP73 expression and its correlation with clinicopathological parameters. METHODS: Tissue GP73 (tGP73) levels were detected in specimens of group A (n = 186) including HCC, peritumoral tissue (PTL), high/low-grade hepatic atypical hyperplasia (AH), chronic hepatitis B (CHB) and normal controls (NC) by immunohistochemistry, and GP73 expression in group B (n = 159) and group C (n = 16) were detected by reverse transcription polymerase chain reaction and western blot, respectively. sGP73 levels were detected in subjects of group D (n = 287) by enzyme-linked immunoassay. RESULTS: GP73 expression increased gradually from NC, CHB, PTL to high-grade AH and HCC at both protein and mRNA levels (P < 0.05), while sGP73 in the HCC group was lower than in the liver cirrhosis (LC) group (P < 0.001). Both tGP73 and sGP73 levels were negatively associated with tumor size and tumor-node-metastasis stage, and tGP73 levels were positively associated with tumor differentiation. The high-tGP73 group showed significantly better overall and disease-free survival than the low-tGP73 group (P = 0.008, P = 0.018). Multivariate analysis revealed that the tGP73 level was an independent prognostic factor for HCC, but not sGP73. CONCLUSION: GP73 expression pattern suggests that the regulatory mechanism of GP73 is related to the progression of chronic liver diseases. Furthermore, a high level of tGP73 is a favorable prognostic factor for HCC.