FLIBase: a comprehensive repository of full-length isoforms across human cancers and tissues.

Regulatory processes at the RNA transcript level play a crucial role in generating transcriptome diversity and proteome composition in human cells, impacting both physiological and pathological states. This study introduces FLIBase (www.FLIBase.org), a specialized database that focuses on annotating full-length isoforms using long-read sequencing techniques. We collected and integrated long-read (351 samples) and short-read (12 469 samples) RNA sequencing data from diverse normal and cancerous human tissues and cells. The current version of FLIBase comprises a total of 983 789 full-length spliced isoforms, identified through long-read sequences and verified using short-read exon-exon splice junctions. Of these, 188 248 isoforms have been annotated, while 795 541 isoforms remain unannotated. By overcoming the limitations of short-read RNA sequencing methods, FLIBase provides an accurate and comprehensive representation of full-length transcripts. These comprehensive annotations empower researchers to undertake various downstream analyses and investigations. Importantly, FLIBase exhibits a significant advantage in identifying a substantial number of previously unannotated isoforms and tumor-specific RNA transcripts. These tumor-specific RNA transcripts have the potential to serve as a source of immunogenic recurrent neoantigens. This remarkable discovery holds tremendous promise for advancing the development of tailored RNA-based diagnostic and therapeutic strategies for various types of human cancer.

Inactivation of the tumor suppressor p53 by long noncoding RNA RMRP.

p53 inactivation is highly associated with tumorigenesis and drug resistance. Here, we identify a long noncoding RNA, the RNA component of mitochondrial RNA-processing endoribonuclease (RMRP), as an inhibitor of p53. RMRP is overexpressed and associated with an unfavorable prognosis in colorectal cancer. Ectopic RMRP suppresses p53 activity by promoting MDM2-induced p53 ubiquitination and degradation, while depletion of RMRP activates the p53 pathway. RMRP also promotes colorectal cancer growth and proliferation in a p53-dependent fashion in vitro and in vivo. This anti-p53 action of RMRP is executed through an identified partner protein, SNRPA1. RMRP can interact with SNRPA1 and sequester it in the nucleus, consequently blocking its lysosomal proteolysis via chaperone-mediated autophagy. The nuclear SNRPA1 then interacts with p53 and enhances MDM2-induced proteasomal degradation of p53. Remarkably, ablation of SNRPA1 completely abrogates RMRP regulation of p53 and tumor cell growth, indicating that SNRPA1 is indispensable for the anti-p53 function of RMRP. Interestingly and significantly, poly (ADP-ribose) polymerase (PARP) inhibitors induce RMRP expression through the transcription factor C/EBPß, and RMRP confers tumor resistance to PARP inhibition by preventing p53 activation. Altogether, our study demonstrates that RMRP plays an oncogenic role by inactivating p53 via SNRPA1 in colorectal cancer.

Gain of LINC00624 Enhances Liver Cancer Progression by Disrupting the Histone Deacetylase 6/Tripartite Motif Containing 28/Zinc Finger Protein 354C Corepressor Complex.

BACKGROUND AND AIMS: Long noncoding RNAs (lncRNAs) are involved in almost every stage of tumor initiation and progression. Here, we have identified an antisense lncRNA, LINC00624, that arises from the antisense strand of chromo-domain-helicase-DNA-binding protein 1-like (CHD1L), located on chr1q21.1, with significant copy number gain and transcriptional activation of CHD1L and B-cell CLL/lymphoma 9 protein (BCL9), in hepatocellular carcinoma (HCC). APPROACH AND RESULTS: Overexpression of LINC00624 enhances tumor growth and metastasis in vitro and in vivo. Mechanistically, higher levels of LINC00624 strengthen the interaction between histone deacetylase 6 (HDAC6) and tripartite motif containing 28 (TRIM28), which accelerates HDAC6 ubiquitination and degradation. Moreover, LINC00624 binds to the RBCC domain of TRIM28, inhibits trimer formation, and weakens the interaction between TRIM28 and zinc finger protein 354C (ZNF354C). Thus, LINC00624 overexpression disrupts the formation of the HDAC6-TRIM28-ZNF354C transcriptional corepressor complex, resulting in the dissociation of the complex from the promoter of CHD1L and BCL9, thereby removing transcription inhibition. CONCLUSIONS: Our findings suggest that LINC00624 acts as a molecular decoy that sequesters the HDAC6-TRIM28-ZNF354C transcriptional corepressor complex away from the specific genomic loci, and that it can potentially be a therapeutic target in HCC.

Inflammation-Induced Long Intergenic Noncoding RNA (LINC00665) Increases Malignancy Through Activating the Double-Stranded RNA-Activated Protein Kinase/Nuclear Factor Kappa B Pathway in Hepatocellular Carcinoma.

BACKGROUND AND AIMS: The nuclear factor kappa B (NF-κB) signaling pathway is important for linking inflammation and tumorigenesis. Here, we characterized an NF-κB signaling activation-induced long intergenic noncoding (LINC) RNA in hepatocellular carcinoma (HCC), LINC00665, that contributes to the enhanced cell proliferation of HCC cells both in vitro and in vivo. APPROACH AND RESULTS: LINC00665 physically interacts with the double-stranded RNA (dsRNA)-activated protein kinase (PKR), enhances its activation, and maintains its protein stability by blocking ubiquitin/proteasome-dependent degradation, resulting in a positive feedback regulation of NF-κB signaling in HCC cells. Notably, patients with HCC and higher LINC00665 have poorer outcomes in the clinic. CONCLUSIONS: Our findings indicate that LINC00665 is involved in the NF-κB signaling activation in HCC cells and that the inflammatory LINC00665/PKR/NF-κB loop plays important oncogenic roles in hepatic cancer progression and may be a potential therapeutic target.

Splicing Regulator p54nrb /Non-POU Domain-Containing Octamer-Binding Protein Enhances Carcinogenesis Through Oncogenic Isoform Switch of MYC Box-Dependent Interacting Protein 1 in Hepatocellular Carcinoma.

BACKGROUND AND AIMS: Alternative splicing (AS) is a key step that increases the diversity and complexity of the cancer transcriptome. Recent evidence has highlighted that AS has an increasingly crucial role in cancer. Nonetheless, the mechanisms underlying AS and its dysregulation in hepatocellular carcinoma (HCC) remain elusive. Here, we report that the expression of RNA-binding protein p54nrb /non-POU domain-containing octamer-binding protein (NONO) is frequently increased in patients with HCC and is associated with poor outcomes. APPROACH AND RESULTS: Knockdown of NONO significantly abolished liver cancer cell proliferation, migration, and tumor formation. RNA-sequencing revealed that NONO regulates MYC box-dependent interacting protein 1 (or bridging integrator 1 [BIN1]; also known as amphiphysin 2 3P9) exon 12a splicing. In the normal liver, BIN1 generates a short isoform (BIN1-S) that acts as a tumor suppressor by inhibiting the binding of c-Myc to target gene promoters. In HCC, NONO is highly up-regulated and produces a long isoform (BIN1-L, which contains exon 12a) instead of BIN1-S. High levels of BIN1-L promote carcinogenesis by binding with the protein polo-like kinase 1 to enhance its stability through the prevention of ubiquitin/proteasome-dependent cullin 3 degradation. Further analysis revealed that NONO promotes BIN1 exon 12a inclusion through interaction with DExH-box helicase 9 (DHX9) and splicing factor proline and glutamine-rich (SFPQ). Notably, frequent coexpression of DHX9-NONO-SFPQ is observed in patients with HCC. CONCLUSIONS: Taken together, our findings identify the DHX9-NONO-SFPQ complex as a key regulator manipulating the oncogenic splicing switch of BIN1 and as a candidate therapeutic target in liver cancer.

Tumor-Specific Transcripts Are Frequently Expressed in Hepatocellular Carcinoma With Clinical Implication and Potential Function.

Hepatocellular carcinoma (HCC) is a highly lethal cancer and its underlying etiology remains understudied. The immense diversity and complexity of the cancer transcriptome hold the potential to yield tumor-specific transcripts (TSTs). Here, we showed that hundreds of TSTs are frequently expressed in HCC by an assembling spliced junction analysis of RNA sequencing raw data from approximately 1,000 normal and HCC tissues. Many of the TSTs were found to be unannotated and noncoding RNAs. We observed that intergenic TSTs are generated from transcription initiation sites frequently harboring long terminal repeat (LTR) elements. The strong presence of TSTs indicates significantly poor prognoses in HCC. Functional screening revealed a noncoding TST (termed TST1), which acted as a regulator of HCC cell proliferation and tumorigenesis. TST1 is generated from an LTR12C promoter regulated by DNA methylation and retinoic-acid-related drugs. Additionally, we observed that TSTs may be detected in the blood extracellular vesicles of patients with HCC. Conclusion: Our findings suggest an abundance of TSTs in HCC and their potential in clinical settings. The identification and characterization of TSTs may help toward the development of strategies for cancer diagnosis and treatment.

Plasma extracellular vesicle long RNA profiling identifies a diagnostic signature for the detection of pancreatic ductal adenocarcinoma.

OBJECTIVE: Pancreatic ductal adenocarcinoma (PDAC) is difficult to diagnose at resectable stage. Recent studies have suggested that extracellular vesicles (EVs) contain long RNAs. The aim of this study was to develop a diagnostic (d-)signature for the detection of PDAC based on EV long RNA (exLR) profiling. DESIGN: We conducted a case-control study with 501 participants, including 284 patients with PDAC, 100 patients with chronic pancreatitis (CP) and 117 healthy subjects. The exLR profile of plasma samples was analysed by exLR sequencing. The d-signature was identified using a support vector machine algorithm and a training cohort (n=188) and was validated using an internal validation cohort (n=135) and an external validation cohort (n=178). RESULTS: We developed a d-signature that comprised eight exLRs, including FGA, KRT19, HIST1H2BK, ITIH2, MARCH2, CLDN1, MAL2 and TIMP1, for PDAC detection. The d-signature showed high accuracy, with an area under the receiver operating characteristic curve (AUC) of 0.960, 0.950 and 0.936 in the training, internal validation and external validation cohort, respectively. The d-signature was able to identify resectable stage I/II cancer with an AUC of 0.949 in the combined three cohorts. In addition, the d-signature showed superior performance to carbohydrate antigen 19-9 in distinguishing PDAC from CP (AUC 0.931 vs 0.873, p=0.028). CONCLUSION: This study is the first to characterise the plasma exLR profile in PDAC and to report an exLR signature for the detection of pancreatic cancer. This signature may improve the prognosis of patients who would have otherwise missed the curative treatment window.

Hypoxia induced LUCAT1/PTBP1 axis modulates cancer cell viability and chemotherapy response.

BACKGROUND: Hypoxic tumors are refractory to DNA damage drugs. However, the underlying mechanism has yet to be elucidated. We aimed to identify lncRNAs that upregulated under hypoxia and their effects on colorectal cancer (CRC). METHODS: CRC cells were treated with 1% O2 to identify lncRNAs that upregulated under hypoxia. We integrated these lncRNAs with RNA-seq of 4 paired CRC tissues and TCGA data to get candidate lncRNAs. Multiple in vitro and in vivo assays were used to explore the role of LUCAT1 in CRC. RESULTS: We identified a hypoxia-induced lncRNA LUCAT1 that facilitated the growth of CRC cells and contributed to drug resistance of CRC cells both in vitro and in vivo. Mechanically, LUCAT1 interacts with polypyrimidine tract binding protein 1 (PTBP1) in CRC cells, facilitates the association of a set of DNA damage related genes with PTBP1, thus resulting in altered alternative splicing of these genes. Moreover, ectopic expression of PTBP1 in CRC cells with knockdown of LUCAT1 abrogated the effects induced by LUCAT1 knockdown. Chemotherapeutics drug combined with LUCAT1 knockdown via antisense oligonucleotides (ASO) would get a better outcome in vivo, compared with group treated with chemotherapeutic drug only. Notably, LUCAT1 is upregulated in CRC tissues, compared to adjacent normal tissues; and CRC patients with higher LUCAT1 have a worse prognosis and poorly responded to chemotherapy in the clinic. CONCLUSIONS: Our data suggested CRC cells utilizes LUCAT1 to develop resistance to DNA damage drugs, and disrupting the LUCAT1/PTBP1 axis might be a promising therapeutic strategy for refractory hypoxic tumors.

Genome-wide analysis reveals that exon methylation facilitates its selective usage in the human transcriptome.

DNA methylation, especially in promoter regions, is a well-characterized epigenetic marker related to gene expression regulation in eukaryotes. However, the role of intragenic DNA methylation in the usage of corresponding exons still remains elusive. In this study, we described the DNA methylome across 10 human tissues. The human genome showed both conserved and varied methylation levels among these tissues. We found that the methylation densities in promoters and first exons were negatively correlated with the corresponding gene expression level. Nevertheless, the methylation densities within introns, internal exons and down 1 kb regions showed weak correlation with gene expression levels. Importantly, we observed a remarkably positive relationship between methylation density and exon expression level of intragenic exons. Notably, skip-in exons were much more methylated than skip-out exons. We also identified 260 exons that showed both differential methylation levels and differential expression levels in lung cancer. Genes harboring these differentially regulated exons were significantly enriched in the cancer hallmark-related biological process. Moreover, a 10-exon signature was identified as a promising prognostic predictor for lung cancer. Our study illuminates the DNA methylome, describes its relationship with gene expression across human tissues and provides new insights into intragenic DNA methylation and exon usage during the transcriptional/alternative splicing process and in cancer.

Transcriptome-Wide Analysis Reveals the Landscape of Aberrant Alternative Splicing Events in Liver Cancer.

Alternative splicing (AS) is assumed to be a pivotal determinant for the generation of diverse transcriptional variants in cancer. However, the comprehensive dysregulation of AS and the prospective biological and clinical relevance in hepatocellular carcinoma (HCC) remain obscure. Here, we identified and depicted the AS landscape in HCC by performing reference-based assembly of sequencing reads from over 600 RNA sequencing (RNA-seq) libraries. We detected various differentially spliced ASEs across patients covering not only protein-coding genes, but also considerable numbers of noncoding genes. Strikingly, alternative transcription initiation was found to frequently occur in HCC. These differential ASEs were highly related to "cancer hallmarks" and involved in metabolism-related pathways in particular. In addition, 243 differential ASEs were identified as risk predictors for HCC patient survival. The isoform switch of metabolism-related gene UGP2 (UDP-glucose pyrophosphorylase 2) might play an essential role in HCC. We further constructed regulatory networks between RNA-binding protein (RBP) genes and the corresponding ASEs. Further analysis demonstrated that the regulated networks were enriched in a variety of metabolism-related pathways. Conclusion: Differential ASEs are prevalent in HCC, where alternative transcription initiation was found to frequently occur. We found that genes having differential ASEs were significantly enriched in metabolism-related pathways. The expression variations, binding relations, and even mutations of RBP genes largely influenced differential ASEs in HCC.

Arginine methylation of SIRT7 couples glucose sensing with mitochondria biogenesis.

Sirtuins (SIRTs) are a class of lysine deacylases that regulate cellular metabolism and energy homeostasis. Although sirtuins have been proposed to function in nutrient sensing and signaling, the underlying mechanism remains elusive. SIRT7, a histone H3K18-specific deacetylase, epigenetically controls mitochondria biogenesis, ribosomal biosynthesis, and DNA repair. Here, we report that SIRT7 is methylated at arginine 388 (R388), which inhibits its H3K18 deacetylase activity. Protein arginine methyltransferase 6 (PRMT6) directly interacts with and methylates SIRT7 at R388 in vitro and in vivo R388 methylation suppresses the H3K18 deacetylase activity of SIRT7 without modulating its subcellular localization. PRMT6-induced H3K18 hyperacetylation at SIRT7-target gene promoter epigenetically promotes mitochondria biogenesis and maintains mitochondria respiration. Moreover, high glucose enhances R388 methylation in mouse fibroblasts and liver tissue. PRMT6 signals glucose availability to SIRT7 in an AMPK-dependent manner. AMPK induces R388 hypomethylation by disrupting the association between PRMT6 and SIRT7. Together, PRMT6-induced arginine methylation of SIRT7 coordinates glucose availability with mitochondria biogenesis to maintain energy homeostasis. Our study uncovers the regulatory role of SIRT7 arginine methylation in glucose sensing and mitochondria biogenesis.

exoRBase: a database of circRNA, lncRNA and mRNA in human blood exosomes.

Exosomes, which are nanosized endocytic vesicles that are secreted by most cells, contain an abundant cargo of different RNA species that can modulate the behavior of recipient cells and may be used as circulating biomarkers for diseases. Here, we develop a web-accessible database (http://www.exoRBase.org), exoRBase, which is a repository of circular RNA (circRNA), long non-coding RNA (lncRNA) and messenger RNA (mRNA) derived from RNA-seq data analyses of human blood exosomes. Experimental validations from the published literature are also included. exoRBase features the integration and visualization of RNA expression profiles based on normalized RNA-seq data spanning both normal individuals and patients with different diseases. exoRBase aims to collect and characterize all long RNA species in human blood exosomes. The first release of exoRBase contains 58 330 circRNAs, 15 501 lncRNAs and 18 333 mRNAs. The annotation, expression level and possible original tissues are provided. exoRBase will aid researchers in identifying molecular signatures in blood exosomes and will trigger new exosomal biomarker discovery and functional implication for human diseases.

Transcriptome analysis of luminal breast cancer reveals a role for LOL in tumor progression and tamoxifen resistance.

Luminal breast cancer (BC) has a sustained risk of late disease recurrence and death. Considerable numbers of patients suffer from antiendocrine therapy resistance. Here, we identified a novel lncRNA whose expression is high in breast cancer and especially higher in luminal breast cancer, dubbed LOL (lncRNA of luminal), that acts as a natural sponge for let-7 microRNAs to regulate tumor growth and tamoxifen resistance. LOL overexpression in parental MCF-7 cells exhibited a proliferative advantage in the addition of tamoxifen than negative control. Knocking down LOL in TamR MCF-7 cells, recovered the sensitivity of cells to tamoxifen. Strikingly, we demonstrated that LOL is transcribed from a genomic locus of an enhancer to maintain its high expression in luminal BC and that it is extremely sensitive to enhancer-regulating factors, such as ZMYND8 and BRD4. Estrogen deprivation or ERα signaling pathway blockage can further stimulate LOL expression, which can promote tumor progression. Clinical analysis of 374 luminal breast cancer samples indicated that LOL is an independent prognostic factor for poor survival in luminal BC. In conclusion, targeting LOL using preclinical/clinical drugs, such as BRD4 inhibitors, may represent a promising approach to inhibit luminal breast cancer progression and tamoxifen resistance.

Extracellular Vesicles Long RNA Sequencing Reveals Abundant mRNA, circRNA, and lncRNA in Human Blood as Potential Biomarkers for Cancer Diagnosis.

BACKGROUND: Extracellular vesicles (EVs) contain a rich cargo of different RNA species with specialized functions and clinical applications. However, the landscape and characteristics of extracellular vesicle long RNA (exLR) in human blood remain largely unknown. METHODS: We presented an optimized strategy for exLR sequencing (exLR-seq) of human plasma. The sample cohort included 159 healthy individuals, 150 patients with cancer (5 cancer types), and 43 patients with other diseases. Bioinformatics approaches were used to analyze the distribution and features of exLRs. Support vector machine algorithm was performed to construct the diagnosis classifier, and diagnostic efficiency was evaluated by ROC analysis. RESULTS: More than 10000 exLRs, including mRNA, circRNA, and lncRNA, were reliably detected in each exLR-seq sample from 1-2 mL of plasma. We observed that blood EVs contain a substantial fraction of intact mRNAs and a large number of assembling spliced junctions; circRNA was also enriched in blood EVs. Interestingly, blood exLRs reflected their tissue origins and the relative fractions of different immune cell types. Additionally, the exLR profile could distinguish patients with cancer from healthy individuals. We further showed that 8 exLRs can serve as biomarkers for hepatocellular carcinoma (HCC) diagnosis with high diagnostic efficiency in training [area under the curve (AUC) = 0.9527; 95% CI, 0.9170-0.9883], validation cohort (AUC = 0.9825; 95% CI, 0.9606-1), and testing cohort (AUC = 0.9627; 95% CI, 0.9263-0.9991). CONCLUSIONS: In summary, this study revealed abundant exLRs in human plasma and identified diverse specific markers potentially useful for cancer diagnosis.

Long noncoding RNA TSLNC8 is a tumor suppressor that inactivates the interleukin-6/STAT3 signaling pathway.

Long noncoding RNAs can serve as oncogenes or tumor suppressors in human cancer; however, their biological functions and underlying mechanism in hepatocarcinogenesis are largely unknown. Here, we report a novel tumor suppressor long noncoding RNA on chromosome 8p12 (termed TSLNC8) that is frequently deleted and down-regulated in hepatocellular carcinoma (HCC) tissues. The loss of TSLNC8 is highly associated with the malignant features of HCC and serves as a prognostic indicator for HCC patients. TSLNC8 significantly suppresses the proliferation and metastasis of HCC cells in vitro and in vivo. TSLNC8 exerts its tumor suppressive activity by competitively interacting with transketolase and signal transducer and activator of transcription 3 (STAT3) and modulating the STAT3-Tyr705 and STAT3-Ser727 phosphorylation levels and STAT3 transcriptional activity, thus resulting in inactivation of the interleukin-6-STAT3 signaling pathway in HCC cells. CONCLUSION: TSLNC8 is a promising prognostic predictor for patients with HCC, and the TSLNC8-transketolase-STAT3 axis is a potential therapeutic target for HCC treatment. (Hepatology 2018;67:171-187).

Transcriptomic analyses of RNA-binding proteins reveal eIF3c promotes cell proliferation in hepatocellular carcinoma.

RNA-binding proteins (RBPs) play fundamental roles in the RNA life cycle. The aberrant expression of RBPs is often observed in human disease, including cancer. In this study, we screened for the expression levels of 1542 human RBPs in The Cancer Genome Atlas liver hepatocellular carcinoma samples and found 92 consistently upregulated RBP genes in HCC compared with normal samples. Additionally, we undertook a Kaplan-Meier analysis and found that high expression of 15 RBP genes was associated with poor prognosis in patients with HCC. Furthermore, we found that eIF3c promotes HCC cell proliferation in vitro as well as tumorigenicity in vivo. Gene Set Enrichment Analysis showed that high eIF3c expression is positively associated with KRAS, vascular endothelial growth factor, and Hedgehog signaling pathways, all of which are closely associated with specific cancer-related gene sets. Our study provides the basis for further investigation of the molecular mechanism by which eIF3c promotes the development and progression of HCC.

Comprehensive transcriptome analysis identifies novel molecular subtypes and subtype-specific RNAs of triple-negative breast cancer.

BACKGROUND: Triple-negative breast cancer (TNBC) is a highly heterogeneous group of cancers, and molecular subtyping is necessary to better identify molecular-based therapies. While some classifiers have been established, no one has integrated the expression profiles of long noncoding RNAs (lncRNAs) into such subtyping criterions. Considering the emerging important role of lncRNAs in cellular processes, a novel classification integrating transcriptome profiles of both messenger RNA (mRNA) and lncRNA would help us better understand the heterogeneity of TNBC. METHODS: Using human transcriptome microarrays, we analyzed the transcriptome profiles of 165 TNBC samples. We used k-means clustering and empirical cumulative distribution function to determine optimal number of TNBC subtypes. Gene Ontology (GO) and pathway analyses were applied to determine the main function of the subtype-specific genes and pathways. We conducted co-expression network analyses to identify interactions between mRNAs and lncRNAs. RESULTS: All of the 165 TNBC tumors were classified into four distinct clusters, including an immunomodulatory subtype (IM), a luminal androgen receptor subtype (LAR), a mesenchymal-like subtype (MES) and a basal-like and immune suppressed (BLIS) subtype. The IM subtype had high expressions of immune cell signaling and cytokine signaling genes. The LAR subtype was characterized by androgen receptor signaling. The MES subtype was enriched with growth factor signaling pathways. The BLIS subtype was characterized by down-regulation of immune response genes, activation of cell cycle, and DNA repair. Patients in this subtype experienced worse recurrence-free survival than others (log rank test, P = 0.045). Subtype-specific lncRNAs were identified, and their possible biological functions were predicted using co-expression network analyses. CONCLUSIONS: We developed a novel TNBC classification system integrating the expression profiles of both mRNAs and lncRNAs and determined subtype-specific lncRNAs that are potential biomarkers and targets. If further validated in a larger population, our novel classification system could facilitate patient counseling and individualize treatment of TNBC.

MicroRNA-127-5p targets the biliverdin reductase B/nuclear factor-κB pathway to suppress cell growth in hepatocellular carcinoma cells.

Nuclear factor-κB (NF-κB) activation is one of the major mediators of inflammation-induced cancer cell growth and progression. In previous studies, we screened a series of microRNAs (miRNAs) that targeted the NF-κB signaling pathway. In this study, we showed that miR-127-5p suppressed NF-κB activity through inhibition of p65 nuclear translocation. In addition, miR-127-5p also inhibited the transcription of downstream targets of the NF-κB signaling pathway. While exploring the mechanism of the inhibition of NF-κB activity by miR-127-5p, we found that miR-127-5p decreased the phosphorylation of p65. MicroRNA-127-5p inhibited the growth and colony formation of hepatocellular carcinoma (HCC) cells and decreased biliverdin reductase B (BLVRB) expression by directly binding to its 3'-UTR. RNA interference of BLVRB suppressed HCC cell growth, whereas the overexpression of BLVRB promoted HCC cell growth. Furthermore, BLVRB blockade inhibited the phosphorylation of p65 protein and the expression of downstream targets of the NF-κB signaling pathway, mimicking the function of miR-127-5p. The restoration of BLVRB in HCC cells overexpressing miR-127-5p impaired the suppression of HCC growth by miR-127-5p. Moreover, miR-127-5p was downregulated in 58% of HCC samples. In summary, we found that miR-127-5p suppressed NF-κB activity by directly targeting BLVRB in HCC cells, and this finding improves our understanding of the molecular mechanism of inflammation-induced HCC growth and proliferation and the successful inhibition of NF-κB activity by cancer treatment.

MicroRNA-124 reduces the pentose phosphate pathway and proliferation by targeting PRPS1 and RPIA mRNAs in human colorectal cancer cells.

BACKGROUND & AIMS: Cancer cells alter glucose metabolism to support their uncontrolled proliferation. Changes in microRNAs (miRNAs) have been associated with colorectal cancer (CRC) development and progression, but it is not clear whether they regulate metabolism in CRC cells. We aimed to identify miRNAs that alter glucose metabolism in CRC cells and to determine their effects on tumor development. METHODS: CRC tissues and matched nontumor tissues were collected from 78 patients for messenger RNA (mRNA) analysis and from 112 patients for immunohistochemical analysis at the Fudan University Shanghai Cancer Center from 2005 through 2007. We integrated data on 100 miRNAs previously identified as potential regulators of glucose metabolism in a high-throughput screen with data on 66 miRNAs that often are deregulated in CRC cells. miRNAs with the potential to regulate glucose metabolism in CRC cells were blocked with mimics, and effects on lactate production were measured in CRC cell lines. miRNAs and their targets were overexpressed from lentivirals in CRC cell lines (LoVo and HCT-116) or knocked down with small interfering RNAs. The cells were analyzed in proliferation and colony formation assays and for growth as xenograft tumors in mice. RESULTS: We identified 3 miRNAs that significantly inhibited lactate production in 3 CRC cell lines; miR124-3p (miR124) had the strongest effect. By using complementary DNA microarray analyses, we identified 67 mRNAs that were reduced in CRC cell lines that overexpressed miR124; the mRNAs encoding phosphoribosyl pyrophosphate synthetase 1 (PRPS1) and ribose-5-phosphate isomerase-A (RPIA) were found to be direct targets of miR124. Knockdown of PRPS1 and RPIA, as well as overexpression of miR124, each reduced glucose consumption and adenosine triphosphate in level CRC cells. Conversely, overexpression of PRPS1 or RPIA restored glycometabolism to these cells. RPIA and PRPS1 contribute to nucleotide metabolism and supply precursors for DNA and RNA biosynthesis. CRC cells that overexpressed miR124 or with knockdown of RPIA or PRPS1 had reduced DNA synthesis and proliferation, whereas cells incubated with an inhibitor of miR124 had significantly increased DNA synthesis and proliferation and formed more colonies. LoVo cells that overexpressed miR124 formed smaller xenograft tumors that controlled cells in mice, and had lower levels of PRPS1 and RPIA mRNA and protein. Compared with normal colorectal tissues, levels of miR124 were reduced significantly in CRC tissues from patients, whereas levels of PRPS1 and RPIA increased, which was associated with reduced patient survival times. CONCLUSIONS: miR124 inhibits DNA synthesis and proliferation by reducing levels of pentose phosphate pathway enzymes in CRC cells. Expression of miR124 and its targets correlate with survival times and might be used in prognosis.

MiR-199a-5p is negatively associated with malignancies and regulates glycolysis and lactate production by targeting hexokinase 2 in liver cancer.

UNLABELLED: Cancer cells possess a unique metabolic phenotype that allows them to preferentially utilize glucose through aerobic glycolysis. This phenomenon is referred to as the "Warburg effect." Accumulating evidence suggests that microRNAs (miRNAs), a class of small noncoding regulatory RNAs, interact with oncogenes/tumor suppressors and induce such metabolic reprograming in cancer cells. To systematically study the metabolic roles of miRNAs in cancer cells, we developed a gain-of-function miRNA screen in HeLa cells. Subsequent investigation of the characterized miRNAs indicated that miR-199a-5p acts as a suppressor for glucose metabolism. Furthermore, miR-199a-5p is often down-regulated in human liver cancer, and its low expression level was correlated with a low survival rate, large tumor size, poor tumor differentiation status, high tumor-node-metastasis stage and the presence of tumor thrombus of patients. MicroRNA-199a-5p directly targets the 3'-untranslated region of hexokinase 2 (HK2), an enzyme that catalyzes the irreversible first step of glycolysis, thereby suppressing glucose consumption, lactate production, cellular glucose-6-phosphate and adenosine triphosphate levels, cell proliferation, and tumorigenesis of liver cancer cells. Moreover, HK2 is frequently up-regulated in liver cancer tissues and associated with poor patient outcomes. The up-regulation of hypoxia-inducible factor-1α under hypoxic conditions suppresses the expression of miR-199a-5p and promotes glycolysis, whereas reintroduction of miR-199a-5p interferes with the expression of HK2, abrogating hypoxia-enhanced glycolysis. CONCLUSION: miR-199a-5p/HK2 reprograms the metabolic process in liver cancer cells and provides potential prognostic predictors for liver cancer patients.