Literature DB >> 26125451

miR-9-3p plays a tumour-suppressor role by targeting TAZ (WWTR1) in hepatocellular carcinoma cells.

T Higashi1, H Hayashi1, T Ishimoto1, H Takeyama1, T Kaida1, K Arima1, K Taki1, K Sakamoto1, H Kuroki1, H Okabe1, H Nitta1, D Hashimoto1, A Chikamoto1, T Beppu1, H Baba1.   

Abstract

BACKGROUND: The inactivation of the Hippo pathway lead to TAZ (PDZ-binding motif)/YAP (yes-associated protein) overexpression, and is associated with worse prognostic outcomes in various cancers including hepatocellular carcinoma (HCC). Although there are several reports of microRNA (miR) targeting for YAP, miR targeting for TAZ remains unclear. The aim of this study is to identify the miR targeting TAZ expression in HCC.
METHODS: MicroRNA expression was analysed using the Human miFinder 384HC miScript miR PCR array, and was compared between low and high TAZ expression cell lines. Then, we extracted miR-9-3p as a tumour-suppressor miR targeting TAZ. We examined the functional role of miR-9-3p using miR-9-3p mimic and inhibitor in HCC cell lines).
RESULTS: In HCC cell lines and HCC clinical samples, there was the inverse correlation between miR-9-3p and TAZ expressions. TAZ expression was induced by treatment of miR-9-3p inhibitor and was downregulated by treatment of miR-9-3p mimic. Treatment of miR-9-3p mimic inhibited cell proliferative ability with downregulated phosphorylations of Erk1/2, AKT, and β-catenin in HLF. Inversely, treatment of miR-9-3p inhibitor accelerated cell growth compared with control in HuH1.
CONCLUSIONS: MicroRNA-9-3p was identified as the tumour-suppressor miR targetting TAZ expression in HCC cells.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 26125451      PMCID: PMC4506379          DOI: 10.1038/bjc.2015.170

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


Hepatocellular carcinoma (HCC) is the sixth most prevalent cancer and the third most frequent cause of cancer-related death (Forner ). Despite recent advances in cancer treatment including the development of molecular-targeted drugs, the prognosis of patients with HCC remains poor. In 2003, the Hippo pathway was identified as a novel signalling cascade that controls organ size by inhibiting cell proliferation and promoting apoptosis (Wu ; Ramos and Camargo, 2012). Defects in the Hippo pathway induce the hyperactivation of its downstream effectors such as transcriptional co-activator with PDZ-binding motif (TAZ) and yes-associated protein (YAP) (Qin ); their overexpression is often detectable and is associated with worse prognostic outcome in various cancers including HCC (Zhao ; Xu ; Liu ; Zhao ; Huo ; Yuen ; Bartucci ; Han ; Ma ), suggesting that TAZ and YAP could be novel therapeutic targets. MicroRNAs (miRs) are small non-coding RNAs that repress the translation of their target mRNAs by base pairing to partially complementary sequences in their 3′-untranslated region (UTR). MicroRNAs have important regulatory functions in processes such as differentiation, proliferation, and inhibiting apoptosis (Chen ; Croce and Calin, 2005), and regulate the expression of many target genes, and dysregulation of miRs are associated with various cancers. Although there are some reports of miR targeting of YAP, such as miR-375 (Liu ), -135b (Lin ), -29 (Tumaneng ), and -let7 (Chen ), there are no reports of miR targeting of TAZ. The aim of this study was to identify the miR that controls TAZ expression in HCC.

Materials and Methods

Cell lines and culture

Established HCC cell lines (HepG2, HuH1, HuH7, HLE, HLF, PLC, and SKHep1) were used in the current study. These cell lines were obtained from the Japanese Collection of Research Bioresources Cell Bank and Riken BioResource Center Cell Bank. All lines were cultured under 5% CO2 at 37 °C in Dulbecco's modified Eagle's medium (Wako, Osaka, Japan) supplemented with 10% fetal bovine serum (FBS). All cultures were maintained in a 5% CO2 air-humidified atmosphere at 37 °C.

RNA and miRNA isolation

Total RNA was isolated from cell lines and frozen tissues using a miRNeasy Mini Kits (Qiagen, Valencia, CA, USA) and finally eluted into 30 μl of heated elution solution, according to the manufacturer's protocol. The purity and concentration of all RNA samples was evaluated by their absorbance ratio at 260/280 nm, determined using a NanoDrop ND-1000 spectrophotometer (NanoDrop Technologies, Rockland, DE, USA).

MicroRNA PCR array

MicroRNA expression was analysed using the Human miFinder 384HC miScript miRNA PCR Array (Qiagen; MIHS-3001Z), which profiles the expression of the 372 most abundantly expressed and best-characterised miRNAs in miRBase, according to the manufacturer's instructions.

Luciferase assays

HLF cells in 96-well plates were transfected with pmirGLO Dual-Luciferase miRNA Target Expression Vector (Promega, Tokyo, Japan: E1330) containing firefly luciferase and renilla luciferase, and Luc-TAZ-a, aM, b, bM, or control (non-insert), and mimic negative control (NC) or mimic miR-9-3p (Invitrogen, Carlsbad, CA, USA) using MultiFectam (Promega: ETF5000). Reporter assays were performed at 48 h after transfection, and firefly and renilla luciferase activities were measured using the Dual-Glo Luciferase Assay System (Promega: E2940). All transfection experiments were conducted in triplicate.

Quantitative real-time reverse transcription PCR

The expression levels of miR-9-3p were determined by quantitative real-time reverse transcription PCR (qRT–PCR) using TaqMan MicroRNA Assay Kits (Applied Biosystems, Foster City, CA, USA). For synthesis of cDNA, 10 ng of total RNA for each serum sample was used for individual assays in a 15-μl reaction mixture containing 5 μl RNA extract, 0.15 μl of 100 mM dNTPs, 1 μl multiscribe reverse transcriptase (50 U ml−1), 1.5 μl of 109 reverse transcription buffer, 0.19 μl RNase inhibitor (20 U ml−1), 1 μl gene-specific TaqMan primer (Supplementary Table 1), and 4.16 μl nuclease-free water. TAZ expression levels were quantified by SYBR Green qRT–PCR using a LightCycler 480 SYBR Green I Master (Roche Diagnostics, Mannheim, Germany) and normalised to ACTB (β-actin). The reaction mixture was incubated at 16 °C for 30 min, 42 °C for 60 min, and 85 °C for 5 min. Subsequently, 5 μl cDNA template was amplified using 10 μl LightCycler 480 SYBR Green I Master (Roche Diagnostics), 3 μl of nuclease-free water, and 2 μl gene-specific primers (Supplementary Table 1) mix in a final volume of 20 μl. Quantitative RT–PCR was run on a LightCycler 480 System II (Roche Diagnostics). The reaction mixture was incubated at 95 °C for 5 min, followed by 40 cycles of 95 °C for 10 s, 60 °C for 30 s, and 72 °C for 1 s. All qRT–PCRs were run using the LightCycler 480 System II (Roche Diagnostics). The relative amounts of miR-9-3p and TAZ were measured with the 2−ΔΔCT method. All qRT–PCRs were performed in triplicate.

MicroRNA transfection

Cells were transfected with 20 nM miR-9-3p mimic or inhibitor (Applied Biosystems) using Lipofectamine 2000 or RNAiMax transfection reagent (Invitrogen), according to the manufacturer's instructions. The specificity of the transfection was verified using a NC mimic (Applied Biosystems). The expression levels of miR-9-3p were quantified 48 h after transfection, and the cells were used for subsequent experiments.

Western blot analysis

To isolate the proteins, cells collected from six-well plates were washed once in phosphate-buffered saline and lysed in RIPA buffer. Each protein sample (12 μg) was resolved by SDS–polyacrylamide gel electrophoresis, transferred onto polyvinylidene difluoride membranes, and incubated with monoclonal antibodies, as follows: TAZ/YAP (1:1000; Cell Signaling, Danvers, MA, USA), N-cadherin (1:1000; clone 56, BD Biosciences, Tokyo, Japan), E-cadherin (1:1000; Cell Signaling), phosphorylated-AKT (p-AKT; 1:1000; Cell Signaling), AKT (1:1000; Cell Signaling), phosphorylated-ERK1/2 (p-ERK1/2; 1:1000; Cell Signaling), ERK1/2 (1:1000; Cell Signaling), phosphorylated β-catenin (p-β-catenin; 1:1000; Cell Signaling), β-catenin (1:1000; Cell Signaling), β-actin (1:2000; Cell Signaling), α-tubulin (1:20 000; Abcam, Cambridge, MA, USA), or histone H3 (1:20 000; Abcam). The signals were detected by incubation with secondary antibodies labelled with the ECL Detection System (GE Healthcare, Little Chalfont, UK).

Cell fractionation

To prepare cytoplasmic and nuclear extracts for western blotting, transfected cell pellets were resuspended in hypotonic buffer (20 mM HEPES (pH 8.0), 10 mM KCl, 1 mM MgCl2, 0.1% Triton X-100, and 20% glycerol) and incubated on ice for 10 min. Cytoplasmic fractions were obtained by collecting supernatants following centrifugation at 1500 g for 5 min. Pellets were washed twice in hypotonic buffer, centrifuged at 5000 g for 5 min, and lysed on ice for 1 h in RIPA buffer (50 mM Tris (pH 7.5) 150 mM NaCl, 0.1% SDS, 0.5% sodium deoxycholate, and 1% NP40) followed by centrifugation at 21 000 g for 10 min. All buffers were supplemented with complete protease inhibitor cocktail (Thermo Scientific, Waltham, MA, USA).

Invasion assay

Biocoat Matrigel-coated invasion chambers (BD Biosciences, San Jose, CA, USA) were used to examine cell invasion. In brief, 1.0 × 105 HLF and 1.5 × 105 HuH1 cells in 500 μl serum-free medium were added to the upper chamber. Medium containing 10% FBS was added to the lower chamber. The cells were allowed to invade the Matrigel for 24 h at 37 °C in 5% CO2 atmosphere. After 22 h, the non-invading cells were removed with a cotton swab, and the invading cells were stained with 1% toluidine blue and counted under a microscope at × 20 magnification.

Proliferation assay

Cells were seeded in a 96-well plate at a density of 2000 cells per well. The medium in each well was changed daily. Viable cell numbers were measured with a Cell Counting Kit-8 containing 2-(2-methoxy-4-nitrophenyl)-3-(4-nitrophenyl)-5-(2,4-disulfophenyl)-2H-tetrazolium (WST-8; Dojin Laboratories, Kumamoto, Japan) for 0, 24, 48, 72, and 96 h, according to the manufacturer's instructions. Optical density (450 nm) was measured using an automatic microplate reader (Molecular Devices, Osaka, Japan). Each experiment was performed in triplicate.

Clinical samples

Frozen HCC tissue was obtained from patients who had undergone hepatic resection. The study was approved by the Medical Ethics Committee of Kumamoto University, and written informed consent was obtained from the human subjects.

Statistical analysis

Statistical analyses were performed using the JMP programme (SAS Institute, Cary, NC, USA). Quantitative data were expressed as mean±s.d., unless otherwise stated. The χ2-test was used to analyse relationships between categorical variables. P<0.05 was considered significant.

Results

Identification of miRs regulating TAZ expression using cancer-related miR screening in HCC cell lines

We first examined the expression profile of TAZ/YAP by western blotting in seven HCC cell lines (HepG2, HuH1, HuH7, HLE, HLF, PLC, and SKHep1). TAZ protein was the predominant expression profile in HCC cell lines (Figure 1A). By qRT–PCR, HepG2, HLE, and HLF revealed high TAZ mRNA levels, whereas HuH1, PLC, and SKHep1 expressed low levels (Figure 1B). To identify the miRs that regulate TAZ expression, miR qRT–PCR array analysis was performed to compare the high TAZ-expressing cell lines (HepG2, HLE, and HLF) and the low TAZ-expressing cell lines (HuH1, PLC, and SKHep1). Twenty-four miRs showed low expression in high TAZ-expressing cells by less than three-fold compared with the low TAZ-expressing cell group (Table 1). In addition, 133 miRs were highlighted as candidates that directly target human TAZ 3′-UTR using online databases (miRTarBase, TarBase, microRNA.org, and TargetScanHuman). Finally, miR-9-3p was extracted as a candidate that met both requirements (Figure 1C).
Figure 1

Identification of miRs regulating TAZ expression via cancer-related miR screening in HCC cell lines. (A and B) TAZ and YAP expression in seven HCC cell lines by qRT–PCR and western blot analysis. (C) Analysis of the Human miFinder 384HC miScript miRNA PCR Array. Twenty-four miRs showed low expression by less than three-fold in high TAZ-expressing cells (HepG2, HLE, and HLF) compared with low TAZ-expressing cells (HuH1, PLC, and SKHep1). Of 133 miRs that were highlighted as candidates directly targeting the human TAZ 3′-UTR using online databases, miR-9-3p directly targeted TAZ.

Table 1

MicroRNAs lists showing low expression in high TAZ-expressing cell group with less than three-fold compared with low TAZ-expressing cell group

miRsFolds change
let-7b-5p4.6
miR-122-5p15.7
miR-122-3p6.9
miR-126-3p8.9
miR-126-5p8.6
miR-135a-5p7.6
miR-135b-5p4.0
miR-149-5p4.2
miR-155-5p5.8
miR-182-3p4.2
miR-192-5p9.4
miR-192-3p7.1
miR-194-5p6.5
miR-196a-5p5.1
miR-196b-5p14.2
miR-203a5.6
miR-208a8.8
miR-2157.3
miR-218-1-3p9.3
miR-34a-3p4.4
miR-424-5p6.0
miR-551b-3p15.1
miR-9-5p7.5
miR-9-3p6.8

TAZ as a direct binding target of miR-9-3p

Next, using luciferase reporter assays, we confirmed whether miR-9-3p targeted the 3′-UTR of TAZ mRNA. The predicted target sequence of miR-9-3p in the TAZ 3′-UTR was checked using the miRanda algorithm. Luc-TAZ-a and -b represent alignments of the predicted miR-9-3p target sequences in the wild-type TAZ 3′-UTR mRNA. Seed sequences are indicated by lines in Figure 2A. HLF cells transfected with a miR-9-3p mimic significantly suppressed luciferase activity from the reporter vectors containing Luc-TAZ-a but not Luc-TAZ-b compared with the control vectors (P<0.001; Figure 2B). We also constructed reporter vectors containing the mutated TAZ 3′-UTR (Luc-TAZ-aM and Luc-TAZ-bM). HLF cells transfected with a miR-9-3p mimic failed to suppress luciferase activity from the reporter vectors containing the mutated 3′-UTR of TAZ compared with the wild-type 3′-UTR-containing vector (Figure 2B). These results indicated that miR-9-3p regulated TAZ expression by directly targeting its 3′-UTR.
Figure 2

TAZ as a direct binding target of miR-9-3p. (A) The predicted target sequence of miR-9-3p in the TAZ 3′-UTR. (B) Luciferase reporter assays to establish whether miR-9-3p targeted the 3′-UTR of TAZ mRNA. HLF cells transfected with a miR-9-3p mimic significantly suppressed Luc-TAZ-a but not Luc-TAZ-b luciferase activity compared with the control vectors (P<0.001). HLF cells transfected with a miR-9-3p mimic did not suppress Luc-TAZ-aM and Luc-TAZ-bM luciferase activity compared with the wild-type 3′-UTR-containing vector. (C) Analysis of TAZ expression levels in cells transfected with miR-9-3p mimic and inhibitor by western blotting. TAZ protein levels were reduced in HLF cells transfected with miR-9-3p mimic compared with the controls, and the levels were increased in HuH1 cells treated with miR-9-3p inhibitor. (D) miR-9-3p mimic and inhibitor also influenced TAZ localisation. HuH1 cells treated with miR-9-3p inhibitor revealed upregulated TAZ expression and accelerated the nuclear localisation of TAZ. The converse results were confirmed in HLF cells treated with miR-9-3p mimic.

We investigated whether miR-9-3p successfully modulated TAZ protein expression in HLF cells with high TAZ expression and HuH1 cells with low TAZ expression. HLF cells transfected with miR-9-3p mimic showed decreased TAZ protein levels, whereas HuH1 cells treated with miR-9-3p inhibitor displayed increased TAZ protein levels in comparison with the controls (Figure 2C). TAZ nuclear localisation was indeed inhibited with miR-9-3p mimic treatment in HLF cells, and was upregulated by miR-9-3p inhibitor treatment in HuH1 cells (Figure 2D). In 55 human HCC tissues, we examined miR-9-3p and TAZ expression levels using qRT–PCR. We divided them into two subgroups according to their miR-9-3p expression (low vs. high) based on the median value. Cancer tissues with high miR-9-3p expression displayed significantly lower TAZ mRNA levels compared with those exhibiting high miR-9-3p expression (P=0.016; Figure 3A). There was an inverse correlation between miR-9-3p and TAZ mRNA expression in HCC cell lines (Figure 3B).
Figure 3

Inverse correlation between miR-9-3p and TAZ mRNA expressions in HCC patients. (A) High miR-9-3p expression was significantly associated with low TAZ mRNA level in HCC (P=0.016). (B) There was an inverse correlation between miR-9-3p and TAZ mRNA expressions in HCC cell lines.

miR-9-3p promotes cancer cell proliferation but not invasiveness by modulating AKT, ERK1/2, and β-catenin signalling

We examined the functional relevance of miR-9-3p expression in cancer cells. HLF cells transfected with miR-9-3p mimic showed significantly reduced cell proliferation compared with the control (P<0.01; Figure 4A). Inversely, HuH1 cells treated with miR-9-3p inhibitor displayed accelerated cell proliferation compared with the control (P<0.01; Figure 4A). The expression of p-AKT, p-ERK1/2, and p-β-catenin was decreased by transfection with miR-9-3p mimic. Treatment with miR-9-3p inhibitor increased these expression patterns (Figure 4B). These results indicated that miR-9-3p had a crucial role in cancer cell proliferation via AKT, ERK, and β-catenin signalling in HCC cells.
Figure 4

miR-9-3p affects cancer cell proliferation, but not invasiveness. (A) Cell proliferation was significantly reduced in HLF cells transfected with miR-9-3p mimics compared with the controls; an inverse result was shown in HuH1 cells treated with miR-9-3p inhibitors (P<0.01). (B) Phosphorylation of AKT (p-AKT), ERK (p-ERK), and β-catenin (p-β-catenin) was decreased by transfection with miR-9-3p mimic. Treatment with miR-9-3p inhibitor increased these expression. (C) The protein levels of E- and N-cadherin were not altered by miR-9-3p mimics and inhibitors. (D) Cell invasiveness was not affected by miR-9-3p mimics and inhibitors.

With regard to cell invasiveness, the protein levels of E- and N-cadherin were not affected by the miR-9-3p mimic and inhibitor (Figure 4C). Cell invasiveness was also not affected by the miR-9-3p mimic and inhibitor (Figure 4D).

Discussion

Although TAZ and YAP are downstream effectors in the Hippo pathway, TAZ is the predominantly expressed protein in HCC cells, suggesting that TAZ appears to be a therapeutic target in HCC. The function of TAZ has become evident in several cancers. For example, TAZ has a critical role in migration, invasion, and tumorigenesis in breast cancer cells (Chan ). It has been reported that TAZ promotes cell proliferation in lung cancer cells (Zhou ). Clinically, TAZ overexpression is associated with poor prognosis in breast, lung, and colorectal cancer patients (Yuen ; Bartucci ; Noguchi ). In the present study, we did not found any phenotypical change of cell invasiveness in HCC cells by miR-9-3p mimic and inhibitor. Previously, Chan published that TAZ promoted the migration and invasion in breast cancer cells in Cancer Research. Guo also reported a similar promotion of the same phenotype in HCC cells in Journal of Cellular Biochemistry. Although there are many regulators of TAZ expression, miR-9-3p-mediated TAZ expression may participate in cell proliferation, but not in cell invasiveness. Currently, the potential of miRs as anticancer therapeutic targets has been extensively investigated. There are several reports of miRs (such as miR-375 (Liu ), -135 (Lin ), -29 (Tumaneng ), -let7 (Chaulk ), and miR-31 (Mitamura )) targeting the Hippo pathway, including YAP, which is another downstream effector of the Hippo pathway (Table 2). However, there are no reports of miRs targeting TAZ; this is the first report of a miR that regulates TAZ. TAZ is known to have oncogenic properties in several gastroenterological cancers including HCC (Yuen ; Han ). In the present study, overexpression of miR-9-3p using a mimic decreased TAZ expression and resulted in suppressed cell proliferation in HCC. Inversely, inhibition of miR-9-3p induced TAZ expression and promoted proliferation in HCC cells. Thus, miR-9-3p had an onco-suppressive role in HCC cells by downregulating TAZ. These findings suggest that miR-9-3p could be a pharmacological target in HCC.
Table 2

The list of microRNAs targeting the Hippo pathway

First authorJournalYearMicroRNATarget gene
Chaulk SGJ Biol Chem2014miR-let7YAP
Mitamura TMol Cancer2014miR-31LATS2
Zhang ZWCell Physiol Biochem2013miR-375YAP
Lin CWNat Commun2013miR-135bLATS2
Tumaneng KNat Cell Biol2012miR-29YAP
Present study  miR-9-3pTAZ
miR-9 is known as a brain-enriched miR. In brain cancer, miR-9 has been mostly reported as an oncogene. However, miR-9 has been also thought to function as both an oncogene and a tumour-suppressor gene. It is overexpressed in brain cancers such as medulloblastoma (Fiaschetti ) and glioma (Jeon ). Furthermore, high expression of miR-9 was associated with poor survival in medulloblastoma patients (Adam ). However, it showed anticancer effects in other cancer types such as breast cancer (Selcuklu ; Zawistowski ),oral squamous cell carcinoma (Yu ), and gastric cancer (Zheng ). Furthermore, high expression of miR-9 was associated with poor survival in patients with breast cancer (Zhou ) and medulloblastoma (Adam ). We investigated the relationship between miR-9-3p and TAZ, and then confirmed the inverse association between miR-9-3p expression and TAZ mRNA expression in HCC clinical samples. Although high TAZ protein expression has been reported to be associated with worse prognostic outcome in HCC patients, it was hard to conclude the prognostic significance of miR-9-3p in the present study with the small and limited number of clinical samples (frozen tissues) available. Further study is required to determine the clinical relevance of miR-9-3p in a large number of HCC patients. In conclusion, we have identified miR-9-3 as a tumour-suppressing miR targeting TAZ expression in HCC cells. miR-9-3p has a crucial role in cell proliferation, but not invasion, via AKT, ERK1/2, and β-catenin signalling in HCC cells.
  33 in total

1.  An integrative analysis of the tumorigenic role of TAZ in human non-small cell lung cancer.

Authors:  Satoshi Noguchi; Akira Saito; Masafumi Horie; Yu Mikami; Hiroshi I Suzuki; Yasuyuki Morishita; Mitsuhiro Ohshima; Yoshimitsu Abiko; Johanna Sofia Margareta Mattsson; Helena König; Miriam Lohr; Karolina Edlund; Johan Botling; Patrick Micke; Takahide Nagase
Journal:  Clin Cancer Res       Date:  2014-06-20       Impact factor: 12.531

2.  YAP mediates crosstalk between the Hippo and PI(3)K–TOR pathways by suppressing PTEN via miR-29.

Authors:  Karen Tumaneng; Karin Schlegelmilch; Ryan C Russell; Dean Yimlamai; Harihar Basnet; Navin Mahadevan; Julien Fitamant; Nabeel Bardeesy; Fernando D Camargo; Kun-Liang Guan
Journal:  Nat Cell Biol       Date:  2012-12       Impact factor: 28.824

Review 3.  Hippo-YAP signaling pathway: A new paradigm for cancer therapy.

Authors:  Yanlei Ma; Yongzhi Yang; Feng Wang; Qing Wei; Huanlong Qin
Journal:  Int J Cancer       Date:  2014-07-22       Impact factor: 7.396

Review 4.  The Hippo signaling pathway and stem cell biology.

Authors:  Azucena Ramos; Fernando D Camargo
Journal:  Trends Cell Biol       Date:  2012-05-31       Impact factor: 20.808

Review 5.  Hepatocellular carcinoma.

Authors:  Alejandro Forner; Josep M Llovet; Jordi Bruix
Journal:  Lancet       Date:  2012-02-20       Impact factor: 79.321

6.  MicroRNAs modulate hematopoietic lineage differentiation.

Authors:  Chang-Zheng Chen; Ling Li; Harvey F Lodish; David P Bartel
Journal:  Science       Date:  2003-12-04       Impact factor: 47.728

7.  TAZ is required for metastatic activity and chemoresistance of breast cancer stem cells.

Authors:  M Bartucci; R Dattilo; C Moriconi; A Pagliuca; M Mottolese; G Federici; A Di Benedetto; M Todaro; G Stassi; F Sperati; M I Amabile; E Pilozzi; M Patrizii; M Biffoni; M Maugeri-Saccà; S Piccolo; R De Maria
Journal:  Oncogene       Date:  2014-02-17       Impact factor: 9.867

8.  Liver resection of colorectal metastases in elderly patients.

Authors:  R Adam; A Frilling; D Elias; C Laurent; E Ramos; L Capussotti; G J Poston; D A Wicherts; R J de Haas
Journal:  Br J Surg       Date:  2010-03       Impact factor: 6.939

9.  Mst1 and Mst2 kinases: regulations and diseases.

Authors:  Funiu Qin; Jing Tian; Dawang Zhou; Lanfen Chen
Journal:  Cell Biosci       Date:  2013-08-28       Impact factor: 7.133

10.  microRNA 31 functions as an endometrial cancer oncogene by suppressing Hippo tumor suppressor pathway.

Authors:  Takashi Mitamura; Hidemichi Watari; Lei Wang; Hiromi Kanno; Makiko Kitagawa; Mohamed Kamel Hassan; Taichi Kimura; Mishie Tanino; Hiroshi Nishihara; Shinya Tanaka; Noriaki Sakuragi
Journal:  Mol Cancer       Date:  2014-04-29       Impact factor: 27.401

View more
  48 in total

1.  Elevation of MiR-9-3p suppresses the epithelial-mesenchymal transition of nasopharyngeal carcinoma cells via down-regulating FN1, ITGB1 and ITGAV.

Authors:  Yu Ding; Yinghua Pan; Shan Liu; Feng Jiang; Junbo Jiao
Journal:  Cancer Biol Ther       Date:  2017-06-14       Impact factor: 4.742

2.  CIZ1 interacts with YAP and activates its transcriptional activity in hepatocellular carcinoma cells.

Authors:  Liu Lei; Jinsheng Wu; Dianhua Gu; Hui Liu; Shaochuang Wang
Journal:  Tumour Biol       Date:  2016-02-23

Review 3.  Understanding the CREB1-miRNA feedback loop in human malignancies.

Authors:  Ya-Wen Wang; Xu Chen; Rong Ma; Peng Gao
Journal:  Tumour Biol       Date:  2016-04-09

4.  TAZ Is a Negative Regulator of PPARγ Activity in Adipocytes and TAZ Deletion Improves Insulin Sensitivity and Glucose Tolerance.

Authors:  Dalila El Ouarrat; Roi Isaac; Yun Sok Lee; Da Young Oh; Joshua Wollam; Denise Lackey; Matthew Riopel; Gautam Bandyopadhyay; Jong Bae Seo; Revathy Sampath-Kumar; Jerrold M Olefsky
Journal:  Cell Metab       Date:  2019-11-07       Impact factor: 27.287

5.  Statin attenuates cell proliferative ability via TAZ (WWTR1) in hepatocellular carcinoma.

Authors:  Takaaki Higashi; Hiromitsu Hayashi; Yuki Kitano; Kensuke Yamamura; Takayoshi Kaida; Kota Arima; Katsunobu Taki; Shigeki Nakagawa; Hirohisa Okabe; Hidetoshi Nitta; Katsunori Imai; Daisuke Hashimoto; Akira Chikamoto; Toru Beppu; Hideo Baba
Journal:  Med Oncol       Date:  2016-10-12       Impact factor: 3.064

6.  Knockdown of microRNA-584 promotes dental pulp stem cells proliferation by targeting TAZ.

Authors:  Songbo Tian; Yanping Liu; Fusheng Dong; Yongqing Dou; Wenjing Li; Jie Wang
Journal:  Cell Cycle       Date:  2020-03-25       Impact factor: 4.534

Review 7.  Hippo Signaling in the Liver Regulates Organ Size, Cell Fate, and Carcinogenesis.

Authors:  Sachin H Patel; Fernando D Camargo; Dean Yimlamai
Journal:  Gastroenterology       Date:  2016-12-19       Impact factor: 22.682

Review 8.  Anti-miRNA oligonucleotides: A comprehensive guide for design.

Authors:  Joana Filipa Lima; Laura Cerqueira; Ceu Figueiredo; Carla Oliveira; Nuno Filipe Azevedo
Journal:  RNA Biol       Date:  2018-03-23       Impact factor: 4.652

9.  Myc target gene, long intergenic noncoding RNA, Linc00176 in hepatocellular carcinoma regulates cell cycle and cell survival by titrating tumor suppressor microRNAs.

Authors:  D D H Tran; C Kessler; S E Niehus; M Mahnkopf; A Koch; T Tamura
Journal:  Oncogene       Date:  2017-09-04       Impact factor: 9.867

10.  Hippo Cascade Controls Lineage Commitment of Liver Tumors in Mice and Humans.

Authors:  Shanshan Zhang; Jingxiao Wang; Haichuan Wang; Lingling Fan; Biao Fan; Billy Zeng; Junyan Tao; Xiaolei Li; Li Che; Antonio Cigliano; Silvia Ribback; Frank Dombrowski; Bin Chen; Wenming Cong; Lixin Wei; Diego F Calvisi; Xin Chen
Journal:  Am J Pathol       Date:  2018-01-31       Impact factor: 4.307

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.