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PDF file, 148K, Univariate and multivariate analysis of features associated with overall survival in the test and independent sets (n = 106).

PDF file, 132K, Differential expression of miRNAs between clinical features.

PDF file, 40K.

PDF file, 97K, Overall survival (OS) and disease-free survival (DFS) in Training set, Test Set and Independent Cohort.

PDF file, 148K, Class Prediction with PAM in Test Set and Independent Cohort.

PDF file, 131K, The relationship between 20-miRNA signature risk score and survival status of HCC patients in combination of training and test sets.

PDF file, 220K, Classification and Prediction of HCC and NC samples by 30-miRNA signature.

PDF file, 118K, The relationship between 20-miRNA signature risk score and survival status of HCC patients.

PDF file, 125K, Univariate and multivariate analysis of features associated with overall survival.

Purpose: MicroRNAs (miRNAs) play important roles in the development and progression of cancer. The aim of this study is to identify miRNA expression signatures in hepatocellular carcinoma and delineate their clinical significance for hepatocellular carcinoma.Experimental Design: Patients with hepatocellular carcinoma, undergoing hepatectomy were randomly divided into training set (60 patients) and test set (50 patients). Other 56 patients were used as an independent cohort. The miRNA expression levels were detected by microarray and verified by quantitative real-time reverse transcription-PCR (qRT-PCR).Results: A 30-miRNA signature consisting of 10 downregulated and 20 upregulated miRNAs was established for distinguishing hepatocellular carcinoma from noncancerous liver tissues in the training set with 99.2% accuracy. The classification accuracies of this signature were 97% and 90% in the test set and independent cohort, respectively. The expression level of four miRNAs in the 30-miRNA signature was verified by qRT-PCR in the training set. Twenty miRNAs were then selected to construct prognostic signature in the training set. Of the 20 miRNAs, six were risk factors and 14 were protective factors. A formula based on the 20 miRNAs was built to compute prognostic index. Kaplan–Meier analysis showed that patients with a higher prognostic index had a significantly lower survival than those with a low index. This was verified in the test and independent sets. Multivariate analysis indicated that the 20-miRNA signature was an independent prognostic predictor.Conclusions: The 30- and 20-miRNA signatures identified in this study should provide new molecular approaches for diagnosis and prognosis of patients with hepatocellular carcinoma and clues for elucidating molecular mechanism of hepatocarcinogenesis. Clin Cancer Res; 19(17); 4780–91. ©2013 AACR.

Mammalian target of rapamycin (mTOR) is one of the most commonly activated pathways in human cancers, including lung cancer. Targeting mTOR with molecule inhibitors is considered as a useful therapeutic strategy. However, the results obtained from the clinical trials with the inhibitors so far have not met the original expectations, largely because of the drug resistance. Thus, combined or multiple drug therapy can bring about more favorable clinical outcomes. Here, we found that activation of ERK pathway was responsible for rapamycin drug resistance in non-small-cell lung cancer (NSCLC) cells. Accordingly, rapamycin-resistant NSCLC cells were more sensitive to ERK inhibitor (ERKi), trametinib, and in turn, trametinib-resistant NSCLC cells were also susceptible to rapamycin. Combining rapamycin with trametinib led to a potent synergistic antitumor efficacy, which induced G1-phase cycle arrest and apoptosis. In addition, rapamycin synergized with another ERKi, MEK162, and in turn, trametinib synergized with other mTORi, Torin1 and OSI-027. Mechanistically, rapamycin in combination with trametinib resulted in a greater decrease of phosphorylation of AKT, ERK, mTOR and 4EBP1. In xenograft mouse model, co-administration of rapamycin and trametinib caused a substantial suppression in tumor growth without obvious drug toxicity. Overall, our study identifies a reasonable combined strategy for treatment of NSCLC.

Emerging evidence suggests that long non-coding RNAs (lncRNA) play critical roles in the development and progression of diverse cancers including hepatocellular carcinoma (HCC), but the underlying molecular mechanisms of lncRNAs that are involved in hepatocarcinogenesis have not been fully explored. Methods: In this study, we profiled lncRNA expression in 127 pairs of HCC and nontumor liver tissues (a Discovery Cohort) using a custom microarray. The expression and clinical significance of lncCSMD1-1 were then validated with qRT-PCR and COX regression analysis in a Validation Cohort (n=260) and two External Validation Cohorts (n=92 and n=124, respectively). In vitro and in vivo assays were performed to explore the biological effects of lncCSMD1-1 on HCC cells. The interaction of lncCSMD1-1 with MYC was identified by RNA pull-down and RNA immunoprecipitation. The role of LncCSMD1-1 in the degradation of MYC protein was also investigated. Results: With microarray, we identified a highly upregulated lncRNA, lncCSMD1-1, which was associated with tumor progression and poor prognosis in the Discovery Cohort, and validated in another 3 HCC cohorts. Consistently, ectopic expression of lncCSMD1-1 notably promotes cell proliferation, migration, invasion, tumor growth and metastasis of HCC cells in in vitro and in vivo experiments. Gene expression profiling on HCC cells and gene sets enrichment analysis indicated that the MYC target gene set was significantly enriched in HCC cells overexpressing lncCSMD1-1, and lncCSMD1-1 was found to directly bind to MYC protein in the nucleus of HCC cells, which resulted in the elevation of MYC protein. Mechanistically, lncCSMD1-1 interacted with MYC protein to block its ubiquitin-proteasome degradation pathway, leading to activation of its downstream target genes. Conclusion: lncCSMD1-1 is upregulated in HCC and promotes progression of HCC by activating the MYC signaling pathway. These results provide the evidence that lncCSMD1-1 may serve as a novel prognostic marker and potential therapeutic target for HCC.

Androgen receptor (AR) has been reported to play an important role in the development and progression of man's prostate cancer. Hepatocellular carcinoma (HCC) is also male-dominant, but the role of AR in HCC remains poorly understood. Mechanistic target of rapamycin complex 1 (mTORC1) also has been reported to be highly activated in HCC. In this study, we aimed to explore the role of AR phosphorylation and its relationship with mTORC1 in hepatocarcinogenesis.In vitro experiment, we observed that mTORC1 interacts with hepatic AR and phosphorylates it at S96 in response to nutrient and mitogenic stimuli in HCC cells. S96 phosphorylation promotes the stability, nuclear localization, and transcriptional activity of AR, which enhances de novo lipogenesis and proliferation in hepatocytes and induces liver steatosis and hepatocarcinogenesis in mice independently and cooperatively with androgen. Furthermore, high ARAR S96 phosphorylation by mTORC1 drives liver steatosis and HCC development and progression independently and cooperatively with androgen, which not only explains why HCC is man-biased but also provides a target molecule for prevention and treatment of HCC and a potential survival predictor in patients with HCC.

New prognostic factors are needed to establish indications for haematopoietic stem cell transplantation (HSCT) in first complete remission (CR1) for T-cell lymphoblastic lymphoma (T-LBL) patients. We used microarray to compare T-LBL tissue samples (n = 75) and fetal thymus tissues (n = 20), and identified 35 differentially expressed miRNAs. Using 107 subjects as the training group, we developed a five-miRNA-based classifier to predict patient survival with LASSO Cox regression: lower risk was associated with better prognosis (disease-free survival (DFS): hazard ratio (HR) 4.548, 95% CI 2.433–8.499, p

Background: Nasopharyngeal carcinoma (NPC) is a highly aggressive neoplasm mainly distributed in the eastern and southeastern parts of Asia. NPC has a poor prognosis among head and neck cancers, and molecular-targeted therapies showed limited clinical efficacy. Methods: We reviewed publications in the PubMed database and extracted genes associated with NPC. The online tool WebGestalt was used to perform Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis for these genes. Next, the two parameters, Jaccard Coefficient (JC) and Overlap Coefficient (OC), were used to analyze the crosstalk of each pair of selected pathways. The new NPC-related genes were predicted by protein-protein interaction (PPI) network combined with hub genes extraction. Western blotting, qRT-PCR, and immunohistochemistry (IHC) were used to detect the expression of candidate genes in NPC cells and tissues, and cellular function assays were used to explore the effects of genes on NPC cells. Results: A total of 552 genes were identified and used to build an NPC-related gene set (NPCgset). Pathways enriched in KEGG pathway analysis were further used for crosstalk analysis and were grouped into two modules: one was related to the carcinogenesis process, and the other was correlated with the immune response. Eight genes from the NPCgset were selected to build a PPI network, and two hub genes PIK3CA and AKT1 were chosen. Proteins interacting with PIK3CA were analyzed; among them, the expression of RRAS was down-regulated in NPC and associated with poor prognosis of NPC patients. Furthermore, RRAS suppressed proliferation, invasion and the epithelial-mesenchymal transformation (EMT) of the HK1 and 5-8F cell lines. Conclusions: Our study may help to explore the biological processes underlying NPCgset and suggests that RRAS may act as a tumor suppressor gene in NPC.

Background Long non-coding RNAs (lncRNAs) play vital roles in the development and progression of non-small-cell lung cancer (NSCLC); however, the role of most lncRNAs in NSCLC remains unknown. This study explored the clinical significance, biological function and underlying mechanism of lnc-GAN1 in NSCLC. Methods With a custom lncRNA microarray we found that lnc-GAN1 is markedly downregulated in NSCLC tissues. Then lnc-GAN1 expression level was measured using qRT-PCR in NSCLC tissues and cell lines. Survival was assessed using the Kaplan-Meier method. The biological functions of lnc-GAN1 in lung cancer cells were evaluated in vitro and in vivo. RNA fluorescence in situ hybridization and subcellular localization assays revealed the subcellular distribution of lnc-GAN1 in cells. Bioinformatic analysis was adopted to predict miRNAs and signaling pathways regulated by lnc-GAN1. RNA immunoprecipitation and Dual-luciferase reporter assays were used to assess the interaction between lnc-GAN1 and miR-26a-5p in lung cancer cells. Results lnc-GAN1 is downregulated in HCC tissues and associated with larger tumor size and poor overall survival and disease-free survival; its ectopic expression suppresses cell proliferation, colony formation, and cell cycle progression and induces apoptosis in NSCLC cells; it also inhibits tumor growth in the NSCLC xenograft model. We further proved that lnc-GAN1 is localized in cytoplasm and transcribed independently from its parental gene GAN. Mechanistically, lnc-GAN1 acts as a sponge for miR-26a-5p by two seed sequences, and the two non-coding RNAs have a negative relationship in NSCLC tissues; we further prove that PTEN is a direct target of miR-26a-5p and lnc-GAN1 inhibits cell cycle signaling pathway by activating PTEN, whose expression level correlated negatively with miR-26a-5p level but positively with lnc-GAN1 level in NSCLC samples. Conclusions Lnc-GAN1 is downregulated and associated with poor survival of NSCLC patients, and mechanistically acts as a tumor suppressor via sponging and inhibiting miR-26a-5p to upregulate PTEN. This study provides a potential prognostic biomarker and treatment target for NSCLC.

Background:This study aims to identify a long non-coding RNA (lncRNA) signature for predicting survival in non-small-cell lung carcinoma (NSCLC) patients and providing additional prognostic information to the tumor node metastasis (TNM) staging system. Methods: NSCLC cases from a hospital were divided into a discovery cohort (n=194) and validation cohort (n=172) and analyzed using a custom lncRNA microarray. Another 73 cases obtained from another hospital were assayed using quantitative reverse transcriptase polymerase chain reaction (qRT-PCR). The differentially expressed lncRNAs were detected by significance analysis of microarrays (SAM) program and used for identifying those associated with survival in the discovery cohort, which were then employed to construct a prognostic lncRNA signature using a risk-score method. The signature was then confirmed in the validation and independent cohort as well. Results: The discovery cohort was found to comprise of 305 lncRNAs, which showed differential expression between the NSCLC and the corresponding normal lung tissues, a 4-lncRNA signature was identified that was found to significantly correlate with the survival of the NSCLC patients. This signature was further validated in the validation and independent cohort. Moreover, multivariate Cox analysis demonstrates that the 4-lncRNA signature is independent of the TNM staging system.as a risk-score model. The receiver operating characteristic (ROC) curve indicates that the prognostic value of the combined model is significantly higher than that of TNM staging alone in all the cohorts. Conclusions:This study identified a 4-lncRNA signature, which is a powerful prognostic biomarker which related to patient survival in addition to the traditional TNM staging system.

Background Previous findings have indicated that the tumor, nodes, and metastases (TNM) staging system is not sufficient to accurately predict survival outcomes in patients with non-small lung carcinoma (NSCLC). Thus, this study aims to identify a long non-coding RNA (lncRNA) signature for predicting survival in patients with NSCLC and to provide additional prognostic information to TNM staging system. Methods Patients with NSCLC were recruited from a hospital and divided into a discovery cohort (n = 194) and validation cohort (n = 172), and detected using a custom lncRNA microarray. Another 73 NSCLC cases obtained from a different hospital (an independent validation cohort) were examined with qRT-PCR. Differentially expressed lncRNAs were determined with the Significance Analysis of Microarrays program, from which lncRNAs associated with survival were identified using Cox regression in the discovery cohort. These prognostic lncRNAs were employed to construct a prognostic signature with a risk-score method. Then, the utility of the prognostic signature was confirmed using the validation cohort and the independent cohort. Results In the discovery cohort, we identified 305 lncRNAs that were differentially expressed between the NSCLC tissues and matched, adjacent normal lung tissues, of which 15 are associated with survival; a 4-lncRNA prognostic signature was identified from the 15 survival lncRNAs, which was significantly correlated with survivals of NSCLC patients. This signature was further validated in the validation cohort and independent validation cohort. Moreover, multivariate Cox analysis demonstrates that the 4-lncRNA signature is an independent survival predictor. Then we established a new risk-score model by combining 4-lncRNA signature and TNM staging stage. The receiver operating characteristics (ROC) curve indicates that the prognostic value of the combined model is significantly higher than that of the TNM stage alone, in all the cohorts. Conclusions In this study, we identified a 4-lncRNA signature that may be a powerful prognosis biomarker and can provide additional survival information to the TNM staging system.

Background Long non-coding RNAs (lncRNAs) have been reported to be prognostic biomarkers in many types of cancer. We aimed to identify a lncRNA signature that can predict the prognosis in patients with esophageal squamous cell carcinoma (ESCC). Methods Using a custom microarray, we retrospectively analyzed lncRNA expression profiles in 141 samples of ESCC and 81 paired non-cancer specimens from Sun Yat-Sen University Cancer Center (Guangzhou, China), which were used as a training cohort to identify a signature associated with clinical outcomes. Then we conducted quantitative RT-PCR in another 103 samples of ESCC from the same cancer center as an independent cohort to verify the signature. Results Microarray analysis showed that there were 338 lncRNAs significantly differentially expressed between ESCC and non-cancer esophagus tissues in the training cohort. From these differentially expressed lncRNAs, we found 16 lncRNAs associated with overall survival (OS) of ESCC patients using Cox regression analysis. Then a 7-lncRNA signature for predicting survival was identified from the 16 lncRNAs, which classified ESCC patients into high-risk and low-risk groups. Patients with high-risk have shorter OS (HR: 3.555, 95% CI 2.195–5.757, p Conclusions The 7-lncRNA signature is a potential prognostic biomarker in patients with ESCC and may help in treatment decision when combined with the TNM staging system.

Recent studies demonstrate that immune checkpoint inhibitor (ICI) therapy has achieved success in many types of advanced cancers including advanced hepatocellular carcinoma (HCC). However, ICI therapy is beneficial in only some HCC patients, suggesting that immune-responses are highly variable in HCCs. Therefore, understanding the immune status in HCC microenvironment will facilitate ICI immunotherapy and guide patient selection for the therapy. In this study, we first analyzed the expression profile of immune-modulating genes and their relationship with survival of HCC patients using the data downloaded from The Cancer Genome Atlas - Liver Hepatocellular Carcinoma (TCGA-LIHC) database, and found that the higher expressions of CD276 (B7-H3) and CD47 were significantly associated with poor survival. Then we identified 4 immune subtypes of HCCs with different survivals by using the combination expression of B7-H3 (or CD47) and CD8. Patients with B7-H3low/CD8high or CD47low/CD8high have the best survival while ones with B7-H3high/CD8low or CD47high/CD8low have the worst survival. The 4 immune subtypes were validated in another 72 HCC patients obtained from South China. In conclusion, our findings suggest that HCC patient prognosis is associated with immunophenotypes by T cell infiltration (CD8 expression) and the expression of the adaptive immune resistance gene (B7-H3 or CD47), and this immune classification system will facilitate HCC patient selection for ICI immunotherapy.

Epithelial cell adhesion molecule (EpCAM) is known to be highly expressed in a variety of epithelial carcinomas, and it is involved in cell adhesion and proliferation. However, its expression profile and biological function in nasopharyngeal carcinoma (NPC) remains unclear. In this study, higher expression of EpCAM was found in NPC samples compared with non-cancer nasopharyngeal mucosa by qRT-PCR. Additionally, immunohistochemistry (IHC) analysis of NPC specimens from 64 cases showed that high EpCAM expression was associated with metastasis and shorter survival. Multivariate survival analysis identified high EpCAM expression as an independent prognostic factor. Ectopic EpCAM expression in NPC cells promoted epithelial-mesenchymal transition (EMT), induced a cancer stem cell (CSC)-like phenotype, and enhanced metastasis in vitro and in vivo without an effect on cell proliferation. Notably, EpCAM overexpression reduced PTEN expression and increased the level of AKT, mTOR, p70S6K and 4EBP1 phosphorylation. Correspondingly, an AKT inhibitor and rapamycin blocked the effect of EpCAM on NPC cell invasion and stem-like phenotypes, and siRNA targeting PTEN rescued the oncogenic activities in EpCAM knockdown NPC cells. Our data demonstrate that EpCAM regulates EMT, stemness and metastasis of NPC cells via the PTEN/AKT/mTOR pathway.

p53R2 is a p53-inducible ribonucleotide reductase subunit involved in deoxyribonucleotide biosynthesis and DNA repair. Although p53R2 has been linked to human cancer, its role in cervical cancer remains unknown. In this study, we investigated the expression and clinical significance of p53R2 in early-stage cervical cancer. p53R2 expression is significantly upregulated at both mRNA and protein levels in cervical cancer cells and tissues, compared with that in matched normal cervical cells and tissues, respectively. p53R2 overexpression is associated with increased risk of pelvic lymph node metastasis (PLNM, p = 0.001) and cancer relapse (p = 0.009). Patients with high p53R2 expression have a shorter overall survival (OS) and disease-free survival (DFS). p53R2 is an independent factor for predicting OS and DFS of cervical cancer patients. We further show that p53R2 is important for oncogenic growth, migration and invasion in cervical cancer cells. Mechanistically, p53R2 promotes Akt signaling and epithelial-mesenchymal transition (EMT). In conclusion, our study demonstrates for the first time that p53R2 protein is overexpressed in early-stage cervical cancer and unravels some unconventional oncogenic functions of p53R2. p53R2 may be a useful prognostic biomarker and therapeutic target for cervical cancer.

Hepatocellular carcinoma (HCC) is a common cancer with very poor survival due to lack of reliable biomarker for early diagnosis. In this study, we investigated microRNA (miRNA) profile of whole blood with a custom microarray containing probes for 1849 miRNA species in a total 213 successive subjects who were divided into a discovery set and a validation set. An 88-miRNA signature was established to diagnose health controls (HC), chronic hepatitis B (CHB), liver cirrhosis (LC) and HCC with 100% accuracy in the discovery set using Fisher discriminant analysis. This diagnostic signature was confirmed in the validation set with accuracy rates of 100%, 95.2%, 93.7% and 98.4% for HC, CHB, LC and HCC patients, respectively. Compared with AFP, the only available non-invasive and routinely used biomarker for diagnosis of HCC, the 88-miRNA signature has much higher accuracy (99.5% vs 76.5%), sensitivity (100% vs 63.8%), and specificity (99.2% vs 84.2%). More importantly, the signature detects small HCCs (

Bone morphogenetic protein-2 (BMP2) is a secreted protein that highly expressed in a variety of cancers and contributes to cell proliferation, migration, invasiveness, mobility, metastasis and EMT. However, its clinical significance and biological function in nasopharyngeal carcinoma (NPC) remain unknown up to now. Up-regulation of BMP2 was first observed in NPC cell lines by a genome-wide transcriptome analysis in our previous study. In this study, BMP2 mRNA was detected by qRT-PCR and data showed that it was upregulated in NPC compared with non-cancerous nasopharynx samples. Immunohistochemistry (IHC) analysis in NPC specimens revealed that high BMP2 expression was significantly associated with clinical stage, distant metastasis and shorter survival of NPC patients. Moreover, overexpression of BMP2 in NPC cells promoted cell proliferation, migration, invasiveness and epithelial-mesenchymal transition (EMT). Mechanistically, BMP2 overexpression increase phosphorylated protein level of mTOR, S6K and 4EBP1. Correspondingly, mTORC1 inhibitor rapamycin blocked the effect of BMP2 on NPC cell proliferation and invasion. In conclusion, our results suggest that BMP2 overexpression in NPC enhances proliferation, invasion and EMT of tumor cells through the mTORC1 signaling pathway.

miR-18a has been reported to be upregulated in nasopharyngeal carcinoma (NPC) tissues by microarray assays. However, the roles and the underlying mechanisms of miR-18a in NPC remain poorly understood. Here we demonstrated by real-time RT-PCR that miR-18a expression is upregulated in NPC tissues, and positively correlated with tumor size and TNM stage. Moreover, miR-18a expression could be upregulated by NF-κB activation or Epstein-Barr virus encoded latent membrane protein 1 expression. The ectopic expression of miR-18a promoted NPC cell proliferation, migration and invasion, while the repression of miR-18a had opposite effects. Candidate genes under regulation by miR-18a were screened out through a whole-genome microarray assay, further identified by a reporter assay and verified in clinical samples. SMG1, a member of the phosphoinositide 3-kinase-related kinases family and an mTOR antagonist, was identified as functional target of miR-18a. Our results confirmed that miR-18a exerts its oncogenic role through suppression of SMG1 and activation of mTOR pathway in NPC cells. Importantly, in vivo xenograft tumor growth in nude mice was effectively inhibited by intratumor injection of miR-18a antagomir. Our data support an oncogenic role of miR-18a through a novel miR-18a/SMG1/mTOR axis and suggest that the antitumor effects of antagomir-18a may make it suitable for NPC therapy.

Cancer metastasis is the main cause of death in breast cancer (BC) patients. Therefore, prediction and treatment of metastasis is critical for enhancing the survival of BC patients. In this study, we aimed to identify biomarkers that can predict metastasis of BC and elucidate the underlying mechanism of the functional involvement of such markers in metastasis. miRNA expression profile was analyzed using a custom microarray system in 422 BC tissues. The relationship between the upregulated miR-665, metastasis and survival of BC was analyzed and verified in another set of 161 BC samples. The biological function of miR-665 in BC carcinogenesis was explored with in vitro and in vivo methods. The target gene of miR-665 and its signaling cascade were also analyzed. There are 399 differentially expressed miRNAs between BC and noncancerous tissues, of which miR-665 is the most upregulated miRNA in the BC tissues compared with non-tumor breast tissues (P

Background Early diagnosis is critical to reduce the mortality caused by nasopharyngeal carcinoma (NPC). MicroRNAs (miRNAs) are dysregulated and play important roles in carcinogenesis. Therefore, this study aimed to identify diagnostically relevant circulating miRNA signatures in patients with NPC. Methods Total RNA was extracted from whole blood samples obtained from 120 patients with NPC, 30 patients with head-neck tumors (HNT), and 30 healthy subjects (HSs), and examined by using a custom microarray. The expression levels of four miRNAs identified by using the microarray were validated with quantitative real-time reverse transcription polymerase chain reaction. The 120 patients with NPC and 30 HSs were randomly assigned to training group-1 and validation group-1, respectively. By using significance analysis of microarray (SAM), the specific miRNA expression profiles in whole blood from patients with NPC are obtained. By using lasso regression and adaptive boosting, a diagnostic signature was identified in training group-1, and its accuracy was verified in validation group-1. By using the same methods, another signature to distinguish patients with NPC from those with HNT and HSs was identified in training group-2 and confirmed in validation group-2. Results There were 117 differentially expressed miRNAs (upregulated and downregulated fold change ≥ 1.5) between the patients with NPC and HSs, among which an 8-miRNA signature was identified with 96.43% sensitivity and 100% specificity [area under the curve (AUC) = 0.995] to diagnose NPC in training group-1 and 86.11% sensitivity and 88.89% specificity (AUC = 0.941) in validation group-1. Compared with traditional Epstein–Barr virus (EBV) seromarkers, this signature was more specific for NPC. Furthermore, a 16-miRNA signature to differentiate NPC from HNT and HS (HNT-HS) was established from 164 differentially expressed miRNAs, which diagnosed NPC and HNT-HS with 100% accuracy (AUC = 1.000) in training group-2 and 87.04% (AUC = 0.924) in validation group-2. Conclusions The present study identified two miRNA signatures for the highly accurate diagnosis and differential diagnosis of patients with NPC from HSs and patients with HNT. The identified miRNAs might represent novel serological biomarkers and potential therapeutic targets for NPC. Electronic supplementary material The online version of this article (10.1186/s12967-019-1923-2) contains supplementary material, which is available to authorized users.

Tripartite motif-containing 24 (TRIM24), a member of the transcription intermediary factor 1 family, is defined as a co-regulator with several nuclear receptors, such as RARα. TRIM24 has been reported to be involved in many cancers. In this study, we aimed to investigate the expression pattern and prognostic significance of TRIM24 and its relationship with RARα in esophageal squamous cell cancer (ESCC). Both mRNA and protein expression levels of TRIM24 were found to be significantly decreased in ESCC, as judged by qRT-PCR and western blot. Immunohistochemistry staining shows that the reduced TRIM24 protein is associated with lymph node metastasis (P=0.024), advance pathological TNM (pTNM) stage (P=0.046) and recurrence/metastasis (P=0.001). Upregulated TRIM24 protein predicts longer overall survival and disease-free survival (both P

The development and progression of hepatocellular carcinoma (HCC) is accompanied with persistent oxidative stress, but the molecular basis is not well defined. Superoxide dismutase 2 (SOD2) is an important mitochondrial antioxidant and a key aging factor. Here we investigated the expression and clinical significance of SOD2 in a large cohort of HBV-positive HCC tumors. Both SOD2 mRNA and protein are reduced in human primary HCCs compared with matching liver tissues. Consistently, the SOD2 DNA copy numbers are decreased in HCCs, providing a genetic basis for the decrease in SOD2 mRNA expression. Reduced SOD2 expression in HCCs is correlated with older age, larger tumor size, multiple tumor nodules and tumor emboli, and cancer recurrence. Moreover, low SOD2 expression is strongly associated with poor overall survival (OS) and recurrence-free survival (RFS). Univariate and multivariate Cox regression analyses indicates that SOD2 is an independent prognostic predictor for OS and RFS. Intriguingly, reduced SOD2 mRNA is strongly associated with poor survival in a separate cohort of HCC patients carrying mutant p53. Altogether, our results provide clinical evidence for the importance of SOD2 in tumor progression and mortality, and the close relationship of SOD2 and p53 in HCC.

MicroRNAs (miRNA) play important roles in the initiation and progression of breast cancer. Here, we investigated the role of miR-601 in breast cancer and found that its expression was significantly down-regulated in breast cancer tissues compared with matched adjacent non-cancerous breast tissues. Moreover, we found that down-regulation of miR-601 was closely associated with distant metastasis and poor distant metastasis-free survival in breast cancer. In addition, miR-601 levels were inversely correlated with metastatic potential of human breast cancer cell lines. Further experiments showed that ectopic overexpression of miR-601 suppressed breast cancer cell proliferation, migration and invasion, whereas miR-601 knockdown promoted breast cancer cell proliferation, migration and invasion. Furthermore, protein tyrosine phosphatase type IVA 1 (PTP4A1) was identified as a direct target of miR-601. Overexpression of miR-601 repressed PTP4A1 mRNA and protein expression. Conversely, inhibition of miR-601 increased PTP4A1 mRNA and protein expression. Taken together, our data suggest that miR-601 inhibits growth and invasion of breast cancer cells by targeting PTP4A1 and that miR-601 is a potential biomarker for prognosis and therapeutic target in breast cancer.

The SWI/SNF chromatin remodeling complexes are increasingly appreciated for their roles in carcinogenesis. Recent progress in human cancer genomic sequencing revealed that chromatin remodeling complexes are frequently targeted by cancer mutations, particularly in hepatocellular carcinomas (HCC). However, their precise role in HCC remains controversial and incompletely understood. AKT and NRAS are two major liver oncogenes that promote aberrant growth, metabolism and proliferation of hepatocytes, leading to initiation and development of HCC. Here, we investigated the role of Arid1a, one of the most mutated subunits of the SWI/SNF chromatin-remodeling complex across all human cancers, in hepatocarcinogenesis. To this end, we used Akt/NRas-driven mouse liver cancer model generated by hydrodynamic transfection (HDT). We found that overexpression of Arid1a strongly attenuated Akt/NRas-driven liver tumorigenesis and prolonged survival of animals. Conversely, knockdown of Arid1a accelerated Akt/NRas-driven liver cancer development and shortened survival in mice. We further showed that Arid1a antagonized activation of multiple molecular pathways downstream of Akt/NRas. Conclusion: Arid1a acts as a tumor suppressor in the Akt/NRas mouse HCC model. These new findings provide in vivo evidence for a tumor suppressive role of Arid1a-dependent chromatin remodeling in Akt/NRas-driven hepatocarinogenesis. Citation Format: Shanshan Zhang, Yufeng Zhou, Di Cao, Qiannan Ren, Meiyin Zhang, Shijuan Mai, Huiyun Wang. Arid1a suppresses Akt/NRas-driven hepatocarcinogenesis in mice [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 4721.

Maf1 is a transcriptional repressor downstream of mTORC1by inhibiting transcription of lipogenic genes by RNA Pol II and ribosomal/transfer RNA genes by RNA Pol III. We recently showed that Maf1 suppresses the growth of cultured liver cancer cells and xenograft tumors by blocking Akt-mTOR signaling through the tumor suppressor PTEN. However, whether Maf1 has tumor suppressor activity has never been demonstrated in physiologically relevant tumor models. Here, we investigated the role of Maf1 in hepatocarcinogenesis in NRas/Akt- and c-Myc-driven mouse liver cancer models generated by hydrodynamic transfection (HDT). We found that Maf1 or Maf1-4A, a non-phosphorylatable and active form of Maf1, significantly attenuated the development of NRas/Akt-driven liver tumors. On the other hand, while knockdown of Maf1 alone did not cause any discernible abnormality in the mouse liver, down-regulation of Maf1 markedly accelerated c-Myc-induced liver tumor development. At the molecular level, Maf1 strongly suppressed phosphorylation of Akt-mTOR pathway components, including Akt and S6. Conclusions: Maf1 suppresses hepatocarcinogenesis through restraining Akt/mTOR signaling. These new findings provide first in vivo evidence that Maf1 is a liver tumor suppressor. Citation Format: Di Cao, Xiaoxing Li, Yang Yang, Yu-Feng Zhou, Mei-Yin Zhang, Shan-Shan Zhang, Qian-Nan Ren, Hui-Zhong Zhang, Yao-Jun Zhang, Shi-Juan Mai, Hui-Yun Wang. Maf1 suppresses hepatocarcinogenesis in mice through inhibition of Akt-mTOR signaling [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 5977.

Background: Long non-coding RNA has been reported to be involved in many cancers. To explore the role of lncRNA in non-small-cell lung cancer (NSCLC), we detected lncRNA expression profile with a custom microarray and found that lnc-GAN1 was significantly downregulated in NSCLC. In this study, we aimed to explore the clinical significance, biological function and mechanism of lnc-GAN1 in NSCLC. Methods: We firstly analyzed relationship between the lncGAN1 expression and clinical features and survival in NSCLC patients from two medical centers. We secondly examined the biological function of lncGAN1 in lung cancer cells with Cell viability, colony formation, migration, invasion, cell cycle and apoptosis assays. Then, we localized the distribution of lnc-GAN1 in lung cancer cells using RNA-FISH and analyzed the interaction between lnc-GAN1 and mir-26a-5p with Dual luciferase reporter and RNA immunoprecipitation (RIP) assay. Finally, the xenograft tumor model was employed to assess tumor suppression role of GAN1. Results: lnc-GAN1 is notably downregulated in NSCLC tissues compared with normal lung tissues and associated with small tumor size, poor overall survival (OS) and disease-free survival in NSCLC patients. In vitro experiments, lnc-GAN1 expression suppresses proliferation, colony formation, cell cycle progression and apoptosis of lung cancer cells. lnc-GAN1 was mainly observed in cytoplasm of lung cancer cells with FISH and subcellular fraction analysis. RNA-seq analysis showed that the genes in cell cycle pathway were changed obviously when lnc-GAN1 was overexpressed. Mechanistically, lnc-GAN1 functions as a sponge of miR-26a-5p, which directly targets PTEN. Ectopically expressed lnc-GAN1 increased the mRNA and protein levels of PTEN and decreased miR-26a-5p level in lung cancer cells. Furthermore, mir-26a-5p mimics caused a decrease in both lnc-GAN1 and PTEN expressions while mir-26a-5p inhibitors led to an increase in both lnc-GAN1 and PTEN levels. Finally, In vivo experiments demonstrated that lnc-GAN1 could suppress tumor growth compared with control vector in nude mice. Conclusions: our study discovered that lnc-GAN1 is significantly downregulated and associated with survival in NSCLC patients, and plays a tumor suppressor role by inhibiting miR-26a-5p and upregulating PTEN expression in lung cancer, which suggest that lnc-GAN1 is a potential prognostic biomarker and innovative therapeutic target in NSCLC. Citation Format: Rui-qi Wang, Xiao-Ran Long, Mei-Yin Zhang, Dong-Ni Chen, Zhe-Sheng Wen, Shi-Juan Mai, Hui-Yun Wang. Long non-coding RNA GAN1 inhibits tumor progression by regulating the mir-26a/PTEN axis in lung cancer [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 1416.

mTORC1 is a master regulator of cell growth and proliferation, and an established anticancer drug target. Aberrant mTORC1 signaling is common in hepatocellular carcinoma (HCC), but the underlying mechanism remains elusive. Rab1A is a newly identified mTORC1 activator that mediates an alternative amino acid (AA) signaling branch to Rag GTPases. Because liver is a physiological hub for nutrient sensing and metabolic homeostasis, we investigated the possible role of Rab1A in HCC. We found that Rab1A is frequently overexpressed in HCC, which enhances hyperactive AA-mTORC1 signaling, promoting malignant growth and metastasis of HCC in vitro and in vivo. Moreover, aberrant Rab1A expression is closely associated with poor prognosis. Strikingly, aberrant Rab1A overexpression leads to increased rapamycin sensitivity, indicating that inappropriate activation of AA signaling is a cancer-driving event in HCC. Our findings further suggest that Rab1A is a valuable biomarker for prognosis and personalized mTORC1-targeted therapy in liver cancer.

Lung cancer is the most frequent cause of mortality in cancer patients; non-small-cell lung cancer (NSCLC) accounts for ~80% of lung cancer cases. MicroRNAs (miRNAs) have been revealed to perform an important role in cancer development and progression. Based on a custom miRNA microarray analysis of patients with NSCLC, miRNA-615-3p (miR-615-3p) downregulation was identified in NSCLC tissues compared with normal lung tissues, which suggested that miR-615-3p acted as a tumor suppressor in lung cancer. The overexpression of miR-615-3p was then validated using 40 pairs of NSCLC and adjacent normal tissue samples using a TaqMan reverse transcription-quantitative polymerase chain reaction assay. In order to investigate the tumor suppressor function of miR-615-3p, the ectopic expression of miR-615-3p in the NSCLC A549, H1299 and H1650 cell lines was established. The results revealed that overexpressed miR-615-3p markedly inhibited cell proliferation and colony formation in the 3 NSCLC cell lines compared with the cells overexpressing the negative control sequence (NC). Additional investigation revealed that miR-615-3p overexpression significantly induced apoptosis and cell cycle arrest at the G1 phase in the A549, H1299 and H1650 cell lines compared with the cells overexpressing NC. Finally, ectopic expression of miR-615-3p was found to repress the cell migration and invasion of the 3 lung cancer cell lines. The results of the present study demonstrate, for the first time, that miR-615-3p functions as a tumor suppressor in NSCLC, and may be a novel potential molecular therapeutic target for patients with NSCLC.

Three monoboronic acids, namely, [3-(benzoylamindo)phenyl]boronic acid (1), [3-(nicotinamido)phenyl]boronic acid (2), and [3-(isonicotinamido)phenyl]boronic acid (3), as well as four diboronic acids, namely, [3,3′-[N,N′-(paraphthalmido)]biphenyl]diboronic acid (4), [3,3′-[N,N′-(isophthalamido)]biphenyl]diboronic acid (5), [3,3′-[N,N′-(2,6-pyridinedicarboxamido)]biphenyl]diboronic acid (6), and [3,3′-[N,N′-(2,5-pyridinedicarboxamido)]biphenyl]diboronic acid (7), are synthesized using their corresponding acyl chlorides and 3-aminobenzeneboronic acid. All compounds are fully characterized. The crystal structure of compound 3 is determined using single-crystal X-ray diffraction analysis. Fluorescence tests are performed using a general fluorescence assay method called indicator displacement assay, which uses alizarin red S as the optical reagent to monitor the binding of the unmodified boronic acid compound with the carbohydrate. The monoboronic acids show fluorescence quenching for d -fructose in aqueous solution, whereas the diboronic acids show fluorescence enhancement in DMF solutions. The Stern–Volmer plot within the total concentration range of the compounds is linear, indicating significant sphere quenching caused by the interaction between d -fructose and boronic acid receptors.

The rocket launch tower is a kind tower of large scale which is used in many important palces, in order to counter the tower faults problems such as leaning, bulking, etc.According to the theory of multimodal analysis, mathematical modeling and simulation of vibrational mode were conducted for the tower. The paper describes how the finite element modal for steel tower is built by means of beam and shell elements by Patran, and the analysis of the tower’s dynamical characteristic, bulking phenomenon employing commercial software Patran/Nastran,show that the results are closer to the test data,providing a basis for the tower optimal design.

Our previous miRNA profiling study indicated that microRNA-34c-3p (miR-34c-3p) was overexpressed and associated with survival in HCC. This study is aimed to confirm its clinical significance and explore the function and underlying mechanism of miR-34c-3p in HCC. We first evaluated miR-34c-3p expression and its relationship with prognosis in HCC patients. We then established stable HCC cell lines with miR-34c-3p overexpression and knockdown by the lentiviral packaging systems and performed the functional assays in vitro and in vivo, respectively. We next identified the target of miR-34c-3p by using microRNA target databases and dual-luciferase assay. Finally, the correlation between the expression of miR-34c-3p and the target gene was analyzed by immunohistochemistry and qRT-PCR in HCC tissues and hepatoma xenografts. Overexpressed miR-34c-3p was confirmed in HCC tissues and significantly associated with poor survival of HCC patients. miR-34c-3p expression was also recognized as an independent risk factor for DFS and OS in multivariate analysis. Ectopic expression of miR-34c-3p significantly promotes the proliferation, colony formation, invasion and cell cycle regression of HCC cell lines. Knockdown of miR-34c-3p remarkably blocked hepatoma growth in the xenograft model. miRNA target databases and luciferase reporter assay showed that NCKAP1 was a direct target of miR-34c-3p in HCC cells and the high expression of NCKAP1 in HCC tissues is significantly correlated with low expression of miR-34c-3p and associated with a favorable prognosis of HCC patients. The current study demonstrates that miR-34c-3p functions as a tumor promoter by targeting NCKAP1 that is associated with prognosis in HCC. miR-34c-3p and NCKAP1 may be new potential molecular targets for HCC therapy.