• Breast cancer
• LncRNA
• NF-κB
• Notch
• TGF-β
• Wnt/β-catenin

• Humans
• Female
• Animals
• Breast Neoplasms/genetics
• RNA, Long Noncoding/genetics
• RNA, Long Noncoding/metabolism
• beta Catenin/metabolism
• Proto-Oncogene Proteins c-akt/metabolism
• NF-kappa B/metabolism
• Hedgehogs/genetics
• Hedgehogs/metabolism
• Signal Transduction
• TOR Serine-Threonine Kinases/metabolism
• Transforming Growth Factor beta/metabolism
• Phosphatidylinositol 3-Kinases/metabolism
• Gene Expression Regulation, Neoplastic/genetics

• LINC01133
• cancer biomarkers
• diagnosis
• lncRNA
• long non-coding RNA
• prognosis

Hepatocellular carcinoma (HCC) is one of the most common primary malignancies. Drug resistance has significantly prevented the clinical application of sorafenib (SF), a first‐line targeted medicine for the treatment of HCC. Solamargine (SM), a natural alkaloid, has shown potential antitumor activity, but studies about antitumor effect of SM are obviously insufficient in HCC. In the present study, we found that SM significantly inhibited the growth of HCC and enhanced the anticancer effect of SF. In brief, SM significantly inhibited the growth of HepG2 and Huh‐7 cells. The combination of SM and SF showed a synergistic antitumor effect. Mechanistically, SM downregulated the expression of long noncoding RNA HOTTIP and TUG1, followed by increasing the expression of miR‐4726‐5p. Moreover, miR‐4726‐5p directly bound to the 3′‐UTR region of MUC1 and decreased the expression of MUC1 protein. Overexpression of MUC1 partially reversed the inhibitory effect of SM on HepG2 and Huh‐7 cells viability, which suggested that MUC1 may be the key target in SM‐induced growth inhibition of HCC. More importantly, the combination of SM and SF synergistically restrained the expression of MUC1 protein. Taken together, our study revealed that SM inhibited the growth of HCC and enhanced the anticancer effect of SF through HOTTIP‐TUG1/miR‐4726‐5p/MUC1 signaling pathway. These findings will provide potential therapeutic targets and strategies for the treatment of HCC.

• MUC1
• hepatocellular carcinoma
• solamargine
• sorafenib
• synergistic anticancer effect

The highly conserved homology cassette family (HOX) as well as 18 referenced long non-coding antisense transcripts (HOXATs) play vital roles in the development of some cancers. Nevertheless, their expression patterns as well as their association with cancer prognosis and the tumor microenvironment (TME) in pan-cancers are still unclear. Here, based on public databases, the expression levels of HOXATs, their prognostic potentials, and correlation with tumor mutation burden (TMB), immune cell infiltration, immune subtype, immune response-related genes, and stemness scores corresponding to 33 tumor types were analyzed systematically using R language. The results of the analysis indicated that different cancer tissues show different HOXAT expression profiles. Further, HOXAT expression showed association with cancer prognosis and immune and stemness regulation. Gene set enrichment analysis also demonstrated that HOXATs participate in cancer- and immune-related pathways, and based on their expression levels, HOTAIRM1 and HOXB-AS1 showed potential involvement in oncogenesis as well as possible involvement in immune regulation across a variety of cancer types. Further investigation also confirmed a significantly higher expression of HOXB-AS1 in GBM than in lower grade glioma tissues. Importantly, in vitro cell function experiments indicated that HOXB-AS1 supports cancer stem cell and plays a fundamental role in glioma metastasis. In conclusion, our results provide valuable resources that can guide the investigation of the mechanisms related to the role of HOXATs in cancers as well as therapeutic analysis in this regard.

• cancer immunity
• homology cassette HOX
• immune infiltration
• long non-coding RNA
• prognostic signature

• Chondrocyte apoptosis
• Extracellular matrix
• Long non-coding RNA
• Osteoarthritis

• Competing endogenous RNA/ceRNA
• Head and neck squamous cell carcinoma/HNSCC
• LncRNA
• Prognosis
• TCGA

• apoptosis
• autophagy
• chondrocytes
• noncoding RNA
• osteoarthritis

Non-coding RNAs (ncRNAs), which do not encode proteins, have pivotal roles in manipulating gene expression in development, physiology, and pathology. Emerging data have shown that ncRNAs can regulate lymphangiogenesis, which refers to lymphatics deriving from preexisting vessels, becomes established during embryogenesis, and has a close relationship with pathological conditions such as lymphatic developmental diseases, inflammation, and cancer. This review summarizes the molecular mechanisms of lymphangiogenesis in lymphatic development, inflammation and cancer metastasis, and discusses ncRNAs' regulatory effects on them. Therapeutic targets with regard to lymphangiogenesis are also discussed.

• cancer metastasis
• inflammation
• lymphangiogenesis
• lymphatic development
• non-coding RNA (ncRNA)

• HOTTIP
• PVT1
• UCA1
• biomarker
• colorectal cancer
• lymph node metastasis

Head and neck squamous cell carcinoma (HNSC) is one of most common types of cancer worldwide, and mRNAs and long non-coding RNAs (lncRNAs) have been identified as prognostic biomarkers in HNSC. In the present study, using gene expression datasets from multiple platforms, survival-associated genes in HNSC were identified. Subsequently, a combination of 17 genes (14 mRNAs and 3 lncRNA) was optimized using random forest variable hunting and a risk score model for HNSC prognosis was developed using a cohort from The Cancer Genome Atlas. Patients with high-risk scores tend to have earlier disease recurrence and lower survival rates, compared with those with low-risk scores. This observation was further validated in three independent datasets (GSE41613, GSE10300 and E-MTAB-302). Association analysis revealed that the risk score is independent of other clinicopathological observations. On the basis of the results depicted in the nomogram, the risk score performs better in 3-year survival rate prediction than other clinical observations. In summary, the lncRNA-mRNA signature-based risk score successfully predicts the survival of HNSC and serves as an indicator of prognosis.

• head and neck squamous cell carcinoma
• mRNA and long non-coding RNA
• prognosis

Accumulating evidence has demonstrated the pivotal role of long noncoding RNAs (lncRNAs) in competing endogenous RNA (ceRNA) networks for predicting survival and evaluating prognosis in cancer patients. However, the pathogenesis of head and neck squamous cell carcinoma (HNSCC) remains unclear, and prognostic biomarkers for HNSCC are still lacking.

A total of 546 RNA sequencing profiles of HNSCC patients with clinical outcome data were obtained from the Cancer Genome Atlas (TCGA) database, providing a large sample of RNA sequencing data. From these, 71 Long noncoding RNAs lncRNAs, 8 microRNAs (miRNAs), and 16 messenger RNAs (mRNAs) were identified to construct a HNSCC-specific ceRNA network (fold change >2, P < 0.05). Univariate and multivariate Cox proportional regression models were used to assess independent indicators of prognosis. Then the expression of lncRNAs harboring prognostic value was validated in human HNSCC cell lines and tumor samples from our cohort and another two datasets from GEO (Gene Expression Omnibus) databases.

As a result, a 3-mRNA signature and 6-lncRNA signature were identified. The six-lncRNA signature exhibited the highest prognostic value. Notably, in the six lncRNAs, HOTTIP showed the greatest prognostic value and was significantly correlated with clinical stage and histological grade of HNSCC patients. Furthermore, it was proved that HOTTIP was upregulated in HNSCC cell lines and cancerous tissues compared with corresponding normal cell lines and normal tissues. Functional assessment analysis revealed that HOTTIP might play a key role in the oncogenesis and progression of HNSCC.

The present study deepened our understanding of the ceRNA-related regulatory mechanism in the pathogenesis of HNSCC and identified candidate prognostic biomarkers for clinical outcome prediction in HNSCC. HOTTIP may function as a key candidate biomarker in HNSCC and serve as a prognostic marker for HNSCC patients.

• HOTTIP
• Wnt–β-catenin pathway
• breast cancer
• cancer du sein
• cell migration/invasiveness
• migration/invasion cellulaire
• voie Wnt–β-caténine

Long noncoding RNA FOXF1 adjacent non-coding developmental regulatory RNA (FENDRR) dysregulation associates with multiple types of human cancer. However, the biological functions of FENDRR in renal cell carcinoma are unresolved. Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) was performed to determine the expression level of FENDRR in renal cell carcinoma tissues. An RNA interference assay and ectopic expression experiments were conducted to evaluate the effects of FENDRR on cell proliferation, migration, invasion and colony formation in vitro. RNA immunoprecipitation was conducted to identify proteins associated with FENDRR. It was observed that FENDRR is frequently downregulated in renal cell carcinoma and overexpression of FENDRR attenuated proliferation, migration, invasion and colony growth of renal carcinoma cells. Conversely, knockdown of FENDRR promotes proliferation and invasiveness of renal carcinoma cells. Downregulation of FENDRR associates with poor prognosis of renal cell carcinoma. Mechanistically, it was identified that FENDRR may bind to Polycomb Repressive Complex 2 and lysin methyltransferase 2A histone modifying complexes. In summary, FENDRR acts as an tumor suppressor in renal cell carcinoma and may serve as a candidate target for gene therapy.

• RNA-protein interaction
• long noncoding RNA
• metastasis
• prognosis
• renal cell carcinoma

Melanoma is a deadly malignancy and the poor prognosis of patients with advanced disease is relatively poor. Recent studies indicate that long non-coding RNAs are involved in the pathogenesis of malignant melanoma. This study aims to investigate the role of the long non-coding RNA H19 in melanoma and to explore the underlying molecular mechanisms.

The expression levels of H19 in clinical samples and melanoma cells were determined by quantitative real-time PCR. The cell growth and cell metastasis were assessed by Cell Counting Kit 8, cell invasion and wound healing assays. Cell apoptosis and cell cycle were determined by flow cytometry. Protein levels were determined by Western blotting assay.

H19 was highly expressed in melanoma tissues compared to normal adjacent skin tissues, and the tissue expression level of H19 from melanoma patients with metastasis was significantly higher than that from patients without distant metastasis. In addition, the high expression of H19 in melanoma tissues was associated with advanced tumor invasion and TNM stage, distal metastasis, lymph node metastasis and shorter overall survival in patients with melanoma. The in vitro functional assays showed that knockdown of H19 inhibited cell growth, invasion and migration and also induced cell apoptosis as well as G₀/G₁ arrest in melanoma cells. Further quantitative real-time PCR and Western blot experiments showed that knockdown of H19 differentially regulated the epithelial–mesenchymal transition (EMT)-related gene expressions and reversed EMT in melanoma cell lines. Knockdown of H19 suppressed in vivo tumor growth and modulated the expressions of EMT-related genes in nude mice.

The results from this study suggest that upregulation of H19 contributes to melanoma development and progression.

• H19
• apoptosis
• epithelial–mesenchymal transition
• invasion and migration
• lncRNAs
• melanoma

• HOTTIP
• metabotropic glutamate receptor 1
• pancreatic cancer
• phosphoinositide 3-kinase

• colorectal cancer
• model
• prognosis
• transcription factor

• R21 AA020104 NIAAA NIH HHS

HOTTIP functions as an independent biomarker in multiple cancers. However, the role of HOTTIP in hepatocellular carcinoma (HCC) remains unclear. In this study, we sought to investigate the HOTTIP expression in HCC and normal liver. We combined quantitative reverse transcription-polymerase chain reactions (qRT-PCR), Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA), Multi Experiment Matrix (MEM) and Oncomine database to assess the clinical role and the potential molecular mechanism of HOTTIP in HCC. Furthermore, a meta-analysis was performed to evaluate the relationship between HOTTIP and HCC tumorigenesis and development. Additionally, bioinformatics analysis, which contained Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and network analysis, were applied to investigate the underlying functions, pathways and networks of the potential genes. HOTTIP was obviously upregulated in HCC. A statistically significant higher expression of HOTTIP was found in TNM (III +IV), age (≥60), sex (male), race (white) and cirrhosis (no) compared to the control groups (P<0.05). Furthermore, the meta-analysis of 393 cases from multiple centers indicated that HOTTIP had high diagnostic value in HCC. Additionally, according to GO and KEGG analyses, we found that the most strongly enriched functional terms were gland development, transcription factor activity and extrinsic to membrane. Also, the HOTTIP co-expressed genes were significantly related to PPAR signaling pathway. We speculate that HOTTIP might play a vital part in HCC via regulating various pathways, especially PPAR signaling pathway. However, the detailed mechanism should be confirmed by functional experiments.

Colorectal cancer (CRC) is a common gastrointestinal cancer, with a high incidence and high mortality. Long non-coding RNAs (lncRNAs) are involved in the development, invasion and metastasis, early diagnosis, prognosis, the chemoresistance and radioresistance of CRC through interference with mRNA activity, directly combining with proteins to regulate their activity or alter their localization, influencing downstream gene expression by inhibiting RNA polymerase and regulating gene expression as competing endogenous RNAs. Recent progress in next generation sequencing and transcriptome analysis has revealed that tissue and cancer-type specific lncRNAs could be useful prognostic markers. Here, the CRC-associated lncRNAs from recent studies until October 2016 are reviewed and multiple studies that have confirmed CRC-associated lncRNAs are summarized. This review may be helpful in understanding the overall relationships between the lncRNAs involved in CRC.

• colorectal cancer
• epithelial-mesenchymal transition
• invasion
• long non-coding RNAs

• Apoptosis
• Colorectal cancer
• LncRNA PCAT-1
• Proliferation
• Xenograft
• c-myc

• Biomarker
• Function
• Hepatocellular carcinoma
• Long non-coding RNAs
• Therapeutic target

• Antineoplastic Agents/therapeutic use
• Biomarkers, Tumor/analysis
• Biomarkers, Tumor/antagonists & inhibitors
• Biomarkers, Tumor/genetics
• Biomarkers, Tumor/metabolism
• Carcinogenesis/genetics
• Carcinoma, Hepatocellular/diagnosis
• Carcinoma, Hepatocellular/drug therapy
• Carcinoma, Hepatocellular/genetics
• Carcinoma, Hepatocellular/mortality
• Disease Progression
• Early Detection of Cancer/methods
• Epigenesis, Genetic
• Gene Expression Regulation, Neoplastic
• Humans
• Liver Neoplasms/diagnosis
• Liver Neoplasms/drug therapy
• Liver Neoplasms/genetics
• Liver Neoplasms/mortality
• Molecular Targeted Therapy/methods
• Prognosis
• RNA, Long Noncoding/analysis
• RNA, Long Noncoding/antagonists & inhibitors
• RNA, Long Noncoding/genetics
• RNA, Long Noncoding/metabolism

Dysregulation of mRNAs and long non-coding RNAs (lncRNAs) is one of the most important features of carcinogenesis and cancer development. However, studies integrating the expression of mRNAs and lncRNAs to predict the survival of head and neck squamous cell carcinoma (HNSC) are still limited, hitherto. In current work, we identified survival related mRNAs and lncRNAs in three datasets (TCGA dataset, E-TABM-302, GSE41613). By random forest, seven gene signatures (six mRNAs and lncRNA) were further selected to develop the risk score model. The risk score was significantly associated with survival in both training and testing datasets (E-TABM-302, GSE41613, and E-MTAB-1324). Furthermore, correlation analyses showed that the risk score is independent from clinicopathological features. According to Cox multivariable hazard model and nomogram, the risk score contributes the most to survival than the other clinical information, including gender, age, histologic grade, and alcohol taking. The Gene Set Enrichment Analysis (GSEA) indicates that the risk score is associated with cancer related pathways. In summary, the lncRNA-mRNA based risk score model we developed successfully predicts the survival of 755 HNSC samples in five datasets and two platforms. It is independent from clinical information and performs better than clinical information for prognosis.