A Novel lncRNA lncRNA-4045 Promotes the Progression of Hepatocellular Carcinoma by Affecting the Expression of AKR1B10.

BACKGROUND: Long noncoding RNAs (lncRNAs) have been shown to be related to the occurrence and development of a variety of cancers including hepatocellular carcinoma (HCC). However, a large number of potential HCC-related lncRNAs remain undiscovered and are yet to be fully understood. METHODS: Differentially expressed lncRNAs were first obtained from the tumor tissues and adjacent normal tissues of five HCC patients using high-throughput microarray chips. Then the expression levels of 10 differentially expressed lncRNAs were verified in 50 pairs of tissue samples from patients with HCC by quantitative real-time PCR (qRT-PCR). The oncogenic effects of lncRNA-4045 (ENST00000524045.6) in HCC cell lines were verified through a series of in vitro experiments including CCK-8 assay, plate clone formation assay, transwell assay, scratch assay, and flow cytometry. Subsequently, the potential target genes of lncRNA-4045 were predicted by bioinformatics analysis, fluorescence in situ hybridization assay, and RNA sequencing. The mechanism of lncRNA-4045 in HCC was explored by WB assay as well as rescue and enhancement experiments. RESULTS: The results from microarray chips showed 1,708 lncRNAs to have been significantly upregulated and 2725 lncRNAs to have been significantly downregulated in HCC tissues. Via validation in 50 HCC patients, a novel lncRNA lncRNA-4045 was found significantly upregulated in HCC tissues. Additionally, a series of in vitro experiments showed that lncRNA-4045 promoted the proliferation, invasion, and migration of HCC cell lines, and inhibited the apoptosis of HCC cell lines. The results of qRT-PCR in HCC tissues showed that the expression levels of AKR1B10 were significantly positively correlated with lncRNA-4045. LncRNA-4045 knockdown significantly down-regulated AKR1B10 protein expression, and overexpression of lncRNA-4045 led to significant up-regulation of AKR1B10 protein in HCC cell lines. Lastly, down-regulation of AKR1B10 could partially eliminate the enhancement of cell proliferation induced by lncRNA-4045 overexpression, while up-regulation of AKR1B10 was shown to enhance those effects. CONCLUSION: LncRNA-4045 may promote HCC via enhancement of the expression of AKR1B10 protein.

High Prevalence of Hyperuricemia and Associated Factors among Zhuang Adults: A Cross-Sectional Study Based on the Ethnic Minority Population Cohort in the Southwestern China.

The highest prevalence of hyperuricemia was found in Zhuang minority adults in two national surveys in China, with only 1% Zhuang study subjects. However, the prevalence of hyperuricemia and the associated factors in Zhuang adults have not been well-addressed. A cross-sectional study was conducted to explore the prevalence of hyperuricemia and the common comorbidities, and the associated factors in Zhuang adults based on the Guangxi Ethnic Minority Population Cohort. Among 11,175 Zhuang adults aged 35-74 years, the age- and sex-standardized prevalence rate was 18.1% for hyperuricemia and 1.1% for gout. The standardized prevalence rate and awareness rate were 31.6% and 32.3%, respectively, for hypertension, and were 5.1% and 48.2%, respectively, for diabetes. High education level, history of coronary heart disease (CHD), hypertension, being a current drinker, high body mass index (BMI), central obesity, hyper-triglyceride (hyper-TG), hyper-total cholesterol (hyper-TC), hypo-high density lipoprotein cholesterol (hypo-HDL-C), and abnormal aspartate aminotransferase (AST) were risk factors, while smoking and diabetes were protective factors of hyperuricemia in males. Older age, being single/divorced, having a high education level, hypertension, drinking tea, high BMI, central obesity, hyper-TG, hyper-TC, hypo-HDL-C, and abnormal alanine aminotransferase (ALT) were risk factors in females. The high prevalence of hyperuricemia but low prevalence of gout and common comorbidities in Zhuang adults may be due to a lag effect of lifestyle changes. Health education and health management should be strengthened to prevent the progression of comorbidities, considering the lag effect and low awareness rate.

Liver-specific lncRNA FAM99A may be a tumor suppressor and promising prognostic biomarker in hepatocellular carcinoma.

BACKGROUND: Increasing evidence shows that liver-specific long non-coding RNAs (lncRNAs) play important roles in the development of hepatocellular carcinoma (HCC). We identified a novel liver-specific lncRNA, FAM99A, and examined its clinical significance and biological functions in HCC. METHODS: The expression level and clinical value of FAM99A in HCC were examined using The Cancer Genome Atlas (TCGA), International Cancer Genome Consortium (ICGC), and Gene Expression Omnibus (GEO) databases, and were further verified using quantitative real-time polymerase chain reaction (qRT-PCR) in our HCC cohort. Univariate and multivariate Cox proportional hazards regression models were also applied to identify independent prognostic indicators for HCC patients. Cell counting kit-8, colony formation, and Transwell assays were performed to evaluate the effects of FAM99A on the proliferation, migration, and invasion abilities of HCC cells in vitro. A subcutaneous xenograft tumor model was implemented to determine the effect of FAM99A on the tumor growth of HCC cells in vivo. RNA pull-down and mass spectrometry assays were performed to reveal the potential molecular mechanisms of FAM99A in HCC. RESULTS: The three public online databases and qRT-PCR data showed that FAM99A was frequently downregulated in HCC tissues and inversely correlated with microvascular invasion and advanced histological grade of HCC patients. Kaplan-Meier survival analysis indicated that decreased FAM99A was significantly associated with poor overall survival of HCC patients based on TCGA database (P = 0.040), ICGC data portal (P < 0.001), and our HCC cohort (P = 0.010). A multivariate Cox proportional hazards regression model based on our HCC cohort suggested that FAM99A was an independent prognostic factor of overall survival for HCC patients (hazard ratio: 0.425, P = 0.039). Upregulation of FAM99A suppressed the proliferation, colony formation, migration, and invasion capacities of HCC cells in vitro, and knockdown of FAM99A had the opposite effects. A subcutaneous xenograft tumor model demonstrated that overexpression of FAM99A significantly inhibited the tumor growth of HCC cells in vivo. Seven tumor-related proteins (PCBP1, SRSF5, SRSF6, YBX1, IGF2BP2, HNRNPK, and HNRNPL) were recognized as possible FAM99A-binding proteins by the RNA pull-down and mass spectrometry assays. CONCLUSION: Our results suggest that FAM99A exerts cancer-inhibiting effects on HCC progression, and it may be a promising prognostic indicator for HCC patients.

Establishment of a circular RNA regulatory stemness-related gene pair signature for predicting prognosis and therapeutic response in colorectal cancer.

Background: Colorectal cancer (CRC) is a common malignant tumor of the digestive tract with a poor prognosis. Cancer stem cells (CSCs) affect disease outcomes and treatment responses in CRC. We developed a circular RNA (circRNA) regulatory stemness-related gene pair (CRSRGP) signature to predict CRC patient prognosis and treatment effects. Methods: The circRNA, miRNA, and mRNA expression profiles and clinical information of CRC patients were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. CRSRGPs were established based on stemness-related genes in the competing endogenous RNA (ceRNA) network. A CRSRGP signature was generated using the least absolute shrinkage and selection operator (Lasso) and Cox regression analysis of TCGA training set. The prognosis was predicted by generating a nomogram integrating the CRSRGP signature and clinicopathologic features. The model was validated in an external validation set (GSE17536). The antitumor drug sensitivity and immunotherapy responses of CRC patients in the high-risk group (HRG) and low-risk group (LRG) were evaluated by the pRRophetic algorithm and immune checkpoint analysis. Results: We established an 18-CRSRGP signature to predict the prognosis and treatment responses of CRC patients. In the training and external validation sets, risk scores were used to categorize CRC patients into the HRG and LRG. The Kaplan-Meier analysis showed a poor prognosis for patients in the HRG and that subgroups with different clinical characteristics had significantly different prognoses. A multivariate Cox analysis revealed that the CRSRGP signature was an independent prognostic factor. The nomogram integrating clinical features and the CRSRGP signature efficiently predicted CRC patient prognosis, outperformed the current TNM staging system, and had improved practical clinical value. Anticancer drug sensitivity predictions revealed that the tumors of patients in the HRG were more sensitive to pazopanib, sunitinib, gemcitabine, lapatinib, and cyclopamine. Analysis of immune checkpoint markers demonstrated that patients in the HRG were more likely to benefit from immunotherapy. Conclusion: An efficient, reliable tool for evaluating CRC patient prognosis and treatment response was established based on the 18-CRSRGP signature and nomogram.

The association between iron status and thyroid hormone levels during pregnancy.

BACKGROUND: Iron deficiency may be a risk factor for thyroid disorder; however, the relationship between iron deficiency and thyroid disorder as well as mechanism involved remain unclear. METHODS: A hospital-based cross-sectional study was conducted to analyze the correlation between iron status and thyroid hormone levels in pregnant women. A total of 2218 pregnant women were recruited, and iron status and thyroid hormones were measured. Canonical correlation, Lasso regression, and Receiver operator characteristic (ROC) curve analysis were used to determine the association and related factors. RESULTS: There were 219 cases with iron deficiency anemia (IDA), 168 cases with iron deficiency (ID), and 1831 subjects with normal iron status. Compared with normal group, free triiodothyronine (FT3) and free thyroxine (FT4) in ID group and IDA group had a significant decreasing trend (P < 0.05), with the lowest levels in IDA group. Thyroid stimulating hormone (TSH) was significantly increased in ID group and IDA group (P < 0.05). Moreover, the proportion of hypothyroidism in both ID group and IDA group was higher than the normal group, meanwhile the proportion of hyperthyroidism was lower in both groups (P < 0.05). Serum ferritin (SF) and hemoglobin (Hb) were positively correlated with FT3 and FT4 but negatively correlated with TSH. Correlation analysis indicated that iron status was associated with thyroid hormone levels (P < 0.05). Lasso regression analysis showed that SF, Hb and other variables could be included in the prediction model of FT4. The variables selected by Lasso model were used for ROC curve analysis, and the prediction accuracy was acceptable (AUC=0.778, P < 0.05). CONCLUSION: Our study indicated that there is an association between iron status and thyroid hormone levels in pregnant women, and the level of FT4 may change with iron status. Our findings provide new ideas for regulating the thyroid hormone levels to prevent thyroid dysfunction during pregnancy.

Construction and Comprehensive Analysis of a circRNA-miRNA-mRNA Regulatory Network to Reveal the Pathogenesis of Hepatocellular Carcinoma.

Background: Circular RNAs (circRNAs) have been demonstrated to be closely related to the carcinogenesis of human cancer in recent years. However, the molecular mechanism of circRNAs in the pathogenesis of hepatocellular carcinoma (HCC) has not been fully elucidated. We aimed to identify critical circRNAs and explore their potential regulatory network in HCC. Methods: The robust rank aggregation (RRA) algorithm and weighted gene co-expression network analysis (WGCNA) were conducted to unearth the differentially expressed circRNAs (DEcircRNAs) in HCC. The expression levels of DEcircRNAs were validated by quantitative real-time polymerase chain reaction (qRT-PCR). A circRNA-miRNA-mRNA regulatory network was constructed by computational biology, and protein-protein interaction (PPI) network, functional enrichment analysis, survival analysis, and infiltrating immune cells analysis were performed to uncover the potential regulatory mechanisms of the network. Results: A total of 22 DEcircRNAs were screened out from four microarray datasets (GSE94508, GSE97332, GSE155949, and GSE164803) utilizing the RRA algorithm. Meanwhile, an HCC-related module containing 404 circRNAs was identified by WGCNA analysis. After intersection, only four circRNAs were recognized in both algorithms. Following qRT-PCR validation, three circRNAs (hsa_circRNA_091581, hsa_circRNA_066568, and hsa_circRNA_105031) were chosen for further analysis. As a result, a circRNA-miRNA-mRNA network containing three circRNAs, 17 miRNAs, and 222 mRNAs was established. Seven core genes (ESR1, BUB1, PRC1, LOX, CCT5, YWHAZ, and DDX39B) were determined from the PPI network of 222 mRNAs, and a circRNA-miRNA-hubgene network was also constructed. Functional enrichment analysis suggested that these seven hub genes were closely correlated with several cancer related pathways. Survival analysis revealed that the expression levels of the seven core genes were significantly associated with the prognosis of HCC patients. In addition, we also found that these seven hub genes were remarkably related to the infiltrating levels of immune cells. Conclusion: Our research identified three pivotal HCC-related circRNAs and provided novel insights into the underlying mechanisms of the circRNA-miRNA-mRNA regulatory network in HCC.

Liver-specific LINC01146, a promising prognostic indicator, inhibits the malignant phenotype of hepatocellular carcinoma cells both in vitro and in vivo.

BACKGROUND: Long non-coding RNAs (lncRNAs) are involved in the development of hepatocellular carcinoma (HCC). We aimed to investigate the function of LINC01146 in HCC. METHODS: The expression of LINC01146 in HCC tissues was explored via The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases and was verified using quantitative real-time polymerase chain reaction (qRT-PCR) in our HCC cohort. Kaplan-Meier analysis was used to assess the relationship between LINC01146 and the prognosis of HCC patients. Cell Counting Kit 8, colony formation assays, Transwell assays, flow cytometric assays, and tumour formation models in nude mice were conducted to reveal the effects of LINC01146 on HCC cells both in vitro and in vivo. Bioinformatic methods were used to explore the possible potential pathways of LINC01146 in HCC. RESULTS: LINC01146 was significantly decreased in HCC tissues compared with adjacent normal tissues and was found to be related to the clinical presentations of malignancy and the poor prognosis of HCC patients. Overexpression of LINC01146 inhibited the proliferation, migration, and invasion of HCC cells in vitro, while promoting their apoptosis. In contrast, downregulation of LINC01146 exerted the opposite effects on HCC cells in vitro. In addition, overexpression of LINC01146 significantly inhibited tumour growth, while downregulation of LINC01146 promoted tumour growth in vivo. Furthermore, the coexpressed genes of LINC01146 were mainly involved in the "metabolic pathway" and "complement and coagulation cascade pathway". CONCLUSION: LINC01146 expression was found to be decreased in HCC tissues and associated with the prognosis of HCC patients. It may serve as a cancer suppressor and prognostic biomarker in HCC.

A cohort study of dysmenorrhea and risk of low birth weight.

OBJECTIVE: Little is known about the association between maternal history of dysmenorrhea and perinatal outcomes. The aim of this study was to investigate the association between maternal history of dysmenorrhea and low birth weight (LBW). METHODS: A total of 6754 pregnant women were recruited from the ongoing prospective cohort study in Guangxi, China, in 2015-2018. Information on the maternal history of dysmenorrhea was obtained by questionnaires including visual analog scale (VAS) questions during the first antenatal care visit. The association of maternal history of dysmenorrhea and LBW was evaluated using logistic regression analyses adjusted for confounding factors (infant sex, maternal age, parity, pre-pregnancy body mass index (BMI) (kg/m2), gestational age, alcohol use during pregnancy, passive smoking, and occupational status). RESULTS: Mothers with a history of dysmenorrhea were more likely to give birth to LBW infants (adjusted odds ratio (OR)=1.44; 95% confidence interval (CI): 1.12, 1.83). Among women with a history of dysmenorrhea, women ≥29 years old (adjusted OR 1.46; 95% CI 1.02, 2.10), multiparous (adjusted OR 1.59, 95% CI 1.12, 2.25), and women gave birth to female infant (adjusted OR = 1.53, 95% CI = 1.11, 2.11) had a higher risk of LBW. CONCLUSIONS: As the first cohort study to investigate the association between maternal history of dysmenorrhea and LBW, our study shows that dysmenorrhea may increase the risk of LBW.

Predicting cancer-specific mortality in patients with parotid gland carcinoma by competing risk nomogram.

BACKGROUND: The aim of the present study was to establish a competing risk nomogram to predict parotid gland cancer-specific mortality (PGC-SM). METHODS: Seven thousand nine hundred and sixty-two patients extracted from SEER database were randomly categorized into training and validation sets. The competing risk model was used to identify factors associated with PGC-SM. The nomogram was evaluated via concordance indexes (C-indexes), calibration plots, and decision curve analysis (DCA). RESULTS: Male, elderly, white, widowed, larger tumor, no surgery, advanced tumor grade, lymph node (LN) metastasis, adenocarcinoma (ADC), and higher TNM stage were associated with higher incidence of PGC-SM. Calibration plots showed that the nomogram was well calibrated. C-indexes for nomogram were 0.84 (95% CI: 0.81-0.86) and 0.84 (95% CI: 0.82-0.86) in training and validation sets, respectively. DCA demonstrated the clinical usefulness of nomogram. CONCLUSIONS: The competing risk nomogram shows high performance in predicting PGC-SM, which might enable clinicians formulate suitable treatment protocols for patients with parotid gland carcinoma (PGC).

RNA sequencing identifies two novel liver-specific long noncoding RNAs with potential diagnostic value in hepatocellular carcinoma.

Aim: To explore the expression profiles of long noncoding RNAs (lncRNAs) and identify novel lncRNAs as biomarkers for early diagnosis and therapy of hepatocellular carcinoma (HCC). Materials & methods: Expression profiles of lncRNAs and mRNAs in five paired HCC and adjacent normal tissues were obtained by RNA sequencing. Eight lncRNAs, including two novel liver-specific lncRNAs (NONHSAT059247.2 and NONHSAT013897.2), were validated in another 74 pairs of HCC and adjacent normal tissues by quantitative reverse transcription PCR. Results: The results of quantitative reverse transcription PCR showed that NONHSAT252133.1, NONHSAT112116.2 and NONHSAT242657.1 were significantly upregulated in HCC tissues, whereas NONHSAT169790.1, NONHSAT059247.2 and NONHSAT013897.2 were significantly downregulated. Two liver-specific lncRNAs demonstrated excellent diagnostic performance: NONHSAT059247.2 (area under the curve = 0.941, 95% CI: 0.902-0.979, p < 0.0001), NONHSAT013897.2 (area under the curve = 0.944, 95% CI: 0.906-0.983, p < 0.0001). Conclusion: The liver-specific lncRNAs NONHSAT059247.2 and NONHSAT013897.2, may provide new biomarkers for the future study on diagnosis, therapy and mechanisms of HCC.

Identification of a tumor microenvironment-related gene signature to improve the prediction of cervical cancer prognosis.

BACKGROUND: Previous studies have found that the microenvironment of cervical cancer (CESC) affects the progression and treatment of this disease. Thus, we constructed a multigene model to assess the survival of patients with cervical cancer. METHODS: We scored 307 CESC samples from The Cancer Genome Atlas (TCGA) and divided them into high and low matrix and immune scores using the ESTIMATE algorithm for differential gene analysis. Cervical cancer patients were randomly divided into a training group, testing group and combined group. The multigene signature prognostic model was constructed by Cox analyses. Multivariate Cox analysis was applied to evaluate the significance of the multigene signature for cervical cancer prognosis. Prognosis was assessed by Kaplan-Meier curves comparing the different groups, and the accuracy of the prognostic model was analyzed by receiver operating characteristic-area under the curve (ROC-AUC) analysis and calibration curve. The Tumor Immune Estimation Resource (TIMER) database was used to analyze the relationship between the multigene signature and immune cell infiltration. RESULTS: We obtained 420 differentially expressed genes in the tumor microenvironment from 307 patients with cervical cancer. A three-gene signature (SLAMF1, CD27, SELL) model related to the tumor microenvironment was constructed to assess patient survival. Kaplan-Meier analysis showed that patients with high risk scores had a poor prognosis. The ROC-AUC value indicated that the model was an accurate predictor of cervical cancer prognosis. Multivariate cox analysis showed the three-gene signature to be an independent risk factor for the prognosis of cervical cancer. A nomogram combining the three-gene signature and clinical features was constructed, and calibration plots showed that the nomogram resulted in an accurate prognosis for patients. The three-gene signature was associated with T stage, M stage and degree of immune infiltration in patients with cervical cancer. CONCLUSIONS: This research suggests that the developed three-gene signature may be applied as a biomarker to predict the prognosis of and personalized therapy for CESC.

Six-lncRNA Immune Prognostic Signature for Cervical Cancer.

BACKGROUND: This study searched for immune-related long noncoding RNAs (lncRNAs) to predict the prognosis of patients with cervical cancer. METHOD: We obtained immunologically relevant lncRNA expression profiles and clinical follow-up data from cervical cancer patients from The Cancer Genome Atlas database and the Molecular Signatures Database. Cervical cancer patients were randomly divided into a training group, testing group and combined group. The immune prognostic signature was constructed by Least Absolute Shrinkage and Selection Operator Cox regression, prognosis was analyzed by Kaplan-Meier curves between different groups, and the accuracy of the prognostic model was assessed by receiver operating characteristic-area under the curve (ROC-AUC) analysis. RESULTS: A six-lncRNA immune prognostic signature (LIPS) was constructed to predict the prognosis of cervical cancer. The six lncRNAs are as follows: AC009065.8, LINC01871, MIR210HG, GEMIN7-AS1, GAS5-AS1, and DLEU1. A ROC-AUC analysis indicated that the model could predict the prognosis of cervical cancer patients in different subgroups. A Kaplan-Meier analysis showed that patients with high risk scores had a poor prognosis; these results were equally meaningful in the subgroup analyses. Risk scores differed depending on the clinical pathology and tumor grade and were independent risk factors for cervical cancer prognosis. Gene set enrichment analysis revealed an association between the LIPS and the immune response, Wnt signaling pathway, and TGF beta signaling pathway. CONCLUSION: Our study shows that the six-LIPS can predict the prognosis of cervical cancer and contribute to decisions regarding the immunotherapeutic strategy.

LINC02499, a novel liver-specific long non-coding RNA with potential diagnostic and prognostic value, inhibits hepatocellular carcinoma cell proliferation, migration, and invasion.

AIM: Liver-specific non-coding RNAs have been reported to play crucial roles in hepatocellular carcinoma (HCC). We investigated the possible biological performance of a novel liver-specific long non-coding RNA, LINC02499, in HCC. METHODS: The association between LINC02499 expression and HCC was evaluated based on The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases, and then confirmed in a HCC cohort by quantitative real-time polymerase chain reaction. The effects of LINC02499 on HCC cells were verified by gain- and loss-of-function assays. Pathway enrichment analyses were used to explore the potential mechanism of LINC02499 in HCC. RESULTS: LINC02499 expression was remarkably decreased in HCC tissues compared to adjacent non-tumor tissues based on TCGA (P < 0.001) and GEO databases (P < 0.001) and our HCC cohort (P < 0.001). Decreased LINC02499 was also significantly associated with poorer overall survival in both the TCGA database (P = 0.009) and our HCC cohort (P = 0.002). Furthermore, the receiver operating characteristic analysis indicated that LINC02499 showed a good performance in HCC diagnosis (area under the curve = 0.879, P < 0.001), and both sensitivity and specificity were 83.8%. In addition, up- and downregulated LINC02499 significantly impacted proliferation, migration, and invasion abilities of HCC cells in vitro. Pathway enrichment analyses revealed that the potential target genes of LINC02499 were involved in "Complement and coagulation cascades" and "Butanoate metabolism" pathways. CONCLUSION: LINC02499 could be a potential novel diagnostic and prognostic biomarker for HCC patients, and it could exert a tumor suppressor role in the progression of HCC.

Downregulated CMTM2 Poses Potential Clinical Significance in Hepatocellular Carcinoma.

This study aimed to investigate the expression and clinical significance of chemokine-like factor-like MARVEL transmembrane domain-containing family member 2 (CMTM2) in hepatocellular carcinoma (HCC) tissues. Bioinformatics analysis showed that CMTM2 was downregulated in HCC tissues and correlated with vascular invasion of HCC patients. The immunohistochemistry (IHC) method found that CMTM2 expression was negative in 29/75 (38.67%) cases of HCC tissues and 13/75 (17.33%) cases of paracancerous tissues, also showed a significantly lower expression of CMTM2 in HCC tissues than the paired paracancerous tissues (p < 0.05). Moreover, CMTM2 expression was significantly correlated with tumor grade of HCC patients (p < 0.05), but had no relationship with other clinicopathological features. In addition, multivariate logistic regression analysis indicated that tumor grade was an independent risk factor for CMTM2 expression. The survival time of HCC patients between high and low expression of CMTM2 had no difference by bioinformatics analysis, but the IHC result showed that the negative expression of CMTM2 was related to a poor prognosis of HCC patients. Further COX regression analysis showed that CMTM2 expression was an independent protective factor for the prognosis of HCC patients. We identify that CMTM2 is downregulated in HCC tissues and correlated with the prognosis of HCC patients, suggesting a potential tumor suppressor role of CMTM2 in HCC progression.

A liver-specific lncRNA, FAM99B, suppresses hepatocellular carcinoma progression through inhibition of cell proliferation, migration, and invasion.

BACKGROUND: Increasing evidence has shown that long non-coding RNAs (lncRNAs) are important in hepatocellular carcinoma (HCC) development and progression. In this study, we aim to evaluate the expression of lncRNA FAM99B and its biological function in HCC. METHODS: The expression level of FAM99B in HCC was assessed based on data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO), verified using quantitative real-time polymerase chain reaction (qRT-PCR). HCCLM3 was transfected with lentivirus containing full-length FAM99B to obtain stable overexpressing cell line. Cell Counting Kit 8, clone formation, and transwell assays were used to investigate the effects of FAM99B in HCC progression. In addition, Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, and PANTHER pathway analyses were conducted to investigate the underlying molecular mechanisms. RESULTS: FAM99B was found to be downregulated in HCC tissues compared with adjacent normal tissues based on TCGA, GEO, and qRT-PCR data. Our results revealed that downregulated FAM99B was significantly associated with vascular invasion, advanced histologic grade, and T stage. Kaplan-Meier analysis using TCGA data indicated that decreased FAM99B levels were significantly associated with poor overall survival in patients with HCC. Moreover, overexpression of FAM99B significantly inhibited cell proliferation, migration, and invasion in vitro. Pathway analyses showed that the co-expressed genes of FAM99B mainly participated in the pathways "Metabolic pathways" and "Blood coagulation". CONCLUSION: Our results suggest that FAM99B may serve as a tumor suppressor in HCC and may provide a promising therapy target for patients with HCC.

CBX8 exhibits oncogenic properties and serves as a prognostic factor in hepatocellular carcinoma.

Polycomb group family is a class of proteins that have important roles in both physiological and pathological processes, and its family member Chromobox homolog 8 (CBX8) regulates cell differentiation, aging, and cell cycle progression in numerous carcinomas; however, the effects and underlying mechanisms of CBX8 in hepatocellular carcinoma (HCC) are rarely reported. We found that CBX8 expression in clinical HCC specimens correlates inversely with patient survival. In HCC cells, we found that enforced overexpression of CBX8 induces epithelial-mesenchymal transition, invasive migration, and stem cell-like traits, which are associated with increased tumor growth and metastasis in mice. Conversely, CBX8 silencing inhibits the aggressive phenotype of HCC cells that have high CBX8 expression. Mechanistically, CBX8 modulates H3K27me3 in the gene promoter of bone morphogenetic protein 4 (BMP4), which is associated with active BMP4 transcription and, consequently, the activation of Smads and mitogen-activated protein kinases. BMP4 expression reverses the effects of CBX8 silencing in inhibiting epithelial-mesenchymal transition, stemness, and metastasis. Our results establish CBX8 as a critical driver of HCC stem cell-like and metastatic behaviors and characterize its role in modulating BMP4 expression. These findings have implications for the targeting of CBX8 as an approach to HCC prognosis and treatment.

Bioinformatics analysis of the interactions among lncRNA, miRNA and mRNA expression, genetic mutations and epigenetic modifications in hepatocellular carcinoma.

The present study aimed to investigate the regulatory networks involving long noncoding RNA (lncRNA), microRNA (miRNA), mRNA, genetic mutations and epigenetic modifications in hepatocellular carcinoma (HCC) by analyzing datasets from The Cancer Genome Atlas (TCGA) database. TCGA was mined, and miRNAs, lncRNAs and mRNAs that were differentially expressed in HCC were identified using R software. A gene regulatory network was constructed using Cytoscape software. Representative genes were selected for functional enrichment analysis using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes. The associations among various proteins and protein networks were identified using the online software Search Tool for the Retrieval of Interacting Genes/Proteins. The cBioPortal database was used to analyze the association between genetic mutations and epigenetic modification, and the development of HCC. A total of 35 mRNAs were predicted to be targeted by 77 lncRNAs and 16 miRNAs, establishing a lncRNA­miRNA­mRNA regulatory network for HCC. Multivariable Cox regression analysis suggested that long intergenic non­protein coding RNA 200, miRNA­137, PDZ binding kinase and DNA polymerase θ were independent prognostic factors. In a regulatory network centered on miRNA­424, six mRNA target genes were associated with HCC survival rates. Protein­protein interaction analysis suggested that cell division cycle 25A (CDC25A) interacted with centrosomal protein 55 (CEP55), claspin, E2F transcription factor 7 and cyclin E1 (CCNE1. Mutations in CEP55 affected overall survival and disease­free survival in HCC, whereas, mutations in CDC25A affected overall survival, and mutations in E2F7 affected disease­free survival. Decreased methylation levels of CEP55, CDC25A and CCNE1 were associated with vascular invasion. The survival rate of patients with hypermethylation of CCNE1 and CEP55 was significantly associated with the rate of methylation of these loci. The present study provides an integrated bioinformatics analysis of gene expression, genetic mutations and epigenetic modifications that may be associated with the development of HCC.

Identification of differentially expressed miRNAs in early-stage cervical cancer with lymph node metastasis across The Cancer Genome Atlas datasets.

BACKGROUND AND AIM: Previous studies have suggested that lymph node metastasis (LNM) in early-stage cervical cancer (CESC) may affect the prognosis of patients and the outcomes of subsequent adjuvant therapy. However, research focused on miRNA expression in early-stage CESC patients with LNM remains limited. Therefore, it is necessary to identify prognostic miRNAs and determine their molecular mechanisms. METHODS: We evaluated the differentially expressed genes in early-stage CESC patients with LNM compared to patients without LNM and evaluated the prognostic significance of these differentially expressed genes by analyzing a public dataset from The Cancer Genome Atlas. Potential molecular mechanisms were investigated by gene ontology, the Kyoto Encyclopedia of Genes and Genomes, and protein-protein interaction network analyses. RESULTS: According to the The Cancer Genome Atlas data, hsa-miR-508, hsa-miR-509-2, and hsa-miR-526b expression levels were significantly lower in early-stage CESC patients with LNM than in patients without LNM. A multivariate analysis suggested that three miRNAs were prognostic factors for CESC (P<0.05). The target genes were identified to be involved in the MAPK, cAMP, PI3K/Akt, mTOR, and estrogen cancer signaling pathways. Protein-protein interaction network analysis showed that TP53, MMP1, NOTCH1, SMAD4, and NFKB1 were the most significant hub proteins. CONCLUSION: Our results indicate that hsa-miR-508, hsa-miR-509-2, and hsa-miR-526b may be potential diagnostic biomarkers for early-stage CESC with LNM, and serve as prognostic predictors for patients with CESC.

Rs2303428 of MSH2 Is Associated with Hepatocellular Carcinoma Prognosis in a Chinese Population.

The defects of DNA repair genes may lead to genomic instability and cancer. As an important DNA mismatch repair gene that maintains genomic stability from DNA replication errors, genetic variants of mutS homolog 2 (MSH2) are associated with some cancers. In this study, 1021 hepatocellular carcinoma (HCC) cases and 1021 non-HCC controls from Guangxi were included to explore the association between MSH2 single-nucleotide polymorphisms (SNPs) and HCC. Among the eight MSH2 SNPs, only genotype distribution of rs2303428 was significantly different from HCC and non-HCC patients (p < 0.05). Moreover, CT, TT, and CT/TT genotype of rs2303428 could increase HCC risk [OR (95% CI) = 1.758 (1.195-2.657), 1.846 (1.213-2.896), and 1.823 (1.219-2.763), respectively] and decrease the survival time of HCC patients [codominant, HR (95% CI) = 1.267 (1.046-1.535); dominant, HR (95% CI) = 1.675 (1.162-2.414)]. In addition, rs2303428 was found to interact with HBV infection and family history to increase HCC risk by gene-environment analysis (p < 0.05). Finally, multivariate COX regression analysis showed that rs2303428, tumor number, tumor staging, and metastasis had a significant influence on HCC prognosis. Our results provide MSH2 SNP, rs2303428, as a new prognostic biomarker for HCC patients.

Single nucleotide polymorphisms in MLH1 predict poor prognosis of hepatocellular carcinoma in a Chinese population.

Hepatocellular carcinoma (HCC) is a malignant cancer causing deleterious health effect worldwide, especially in China. So far clinical cure rate and long-term survival rate of HCC remains low. Most HCC patients after cancer resection have recurrence or metastasis within 5 years. This study aims to explore the genetic association of mutL homolog 1 (MLH1) polymorphisms with HCC risk and prognosis. Four candidate MLH1 polymorphisms, rs1800734, rs10849, rs3774343 and rs1540354 were studied from a hospital-based case-control study including 1,036 cases (HCC patients) and 1,036 controls (non-HCC patients) in Guangxi, China. All these SNPs interacted with environmental risk factors, such as HBV infection, alcohol intake and smoking in the pathogenesis of HCC. However, only rs1800734 had significant difference between cases and controls. Compared to the AA genotype, patients with AG, GG and AG/GG genotype of rs1800734 had an increased risk of HCC [ORs (95% CI) = 1.217 (1.074∼1.536), 1.745 (1.301∼2.591) and 1.291 (1.126∼1.687)] and a decreased survival time [co-dominant, HR (95% CI) = 1.553 (1.257∼1.920); dominant, HR (95% CI) = 2.207 (1.572∼3.100)]. Furthermore, we found that tumor number, tumor staging, metastasis and rs1800734 were associated with the overall survival of HCC patients by multivariate COX regression analysis. No significant difference was found between the other three MLH1 polymorphisms with HCC risk and prognosis. Our study suggests MLH1 SNP, rs1800734 as a new predictor for poor prognosis of HCC patients.