Literature DB >> 30008829

REV-ERBα reduction is associated with clinicopathological features and prognosis in human gastric cancer.

Xiaoshan Wang1, Nana Wang2, Xiang Wei3, Haoyuan Yu1, Zhengguang Wang1.   

Abstract

Gastric cancer is a serious threat to human health. Nuclear receptor subfamily 1 group D member 1 (REV-ERBα) is a member of the nuclear hormone receptor family that regulates lipid metabolism, inflammatory responses and circadian rhythms. However, the role of REV-ERBα in the pathogenesis of human gastric cancer is unclear. The present study employed gastric cancer tissues from 74 patients and determined the association between REV-ERBα expression with clinicopathological variables and prognosis. Furthermore, the association between REV-ERBα and apoptosis in undifferentiated and moderately differentiated human gastric cancer cells was determined. It was identified that REV-ERBα expression was decreased in gastric cancer, which was positively associated with poor differentiation (P=0.009), T stage (P=0.001), Tumor-Node-Metastasis (TMN) stage (P=0.001) and lymph node metastasis (P=0.007). In the survival analysis, the 3- and 5-year survival times of patients were significantly associated with REV-ERBα expression (P=0.009 and P=0.002, respectively). Low REV-ERBα expression was associated with poor prognosis (P<0.05). Concurrently, cleaved caspase-3 expression was downregulated, whereas expression levels of Bcl-2 and the Bcl-2/Bax ratio were upregulated in gastric cancer tissues compared with normal tissues. REV-ERBα activator GSK4112 caused apoptosis in SGC-7901 and BGC-823 cell lines. REV-ERBα levels were decreased in human gastric cancer, which was associated with poor differentiation, TMN stages and poor prognosis. REV-ERBα is a potential biomarker for tumor development and prognosis, and a potential therapeutic target for gastric cancer.

Entities:  

Keywords:  apoptosis; biomarker; gastric cancer; nuclear receptor subfamily 1 group D member 1; prognosis

Year:  2018        PMID: 30008829      PMCID: PMC6036475          DOI: 10.3892/ol.2018.8809

Source DB:  PubMed          Journal:  Oncol Lett        ISSN: 1792-1074            Impact factor:   2.967


Introduction

Gastric cancer is the most common cancer, with the fourth highest incidence rate of all gastric adenocarcinomas and >723,000 mortalities every year worldwide (1). Despite the decreased incidence and mortality rates due to the major improved diagnosis and treatment, the ≤5-year survival rate is <20% (1). This may be due to lack of understanding of the mechanisms underlying the development and prognosis of gastric cancer. Therefore, it is urgent to develop effective therapeutic approaches for gastric cancer. Nuclear receptor subfamily 1 group D member 1 (REV-ERBα) belongs to the nuclear hormone receptor family (2), which is abundantly expressed in liver, adipose, muscle and brain tissue. REV-ERBα serves an important role in regulating lipid metabolism, inflammatory responses and circadian rhythm (2–4). Previous studies have demonstrated that REV-ERBα may modulate the proliferation and apoptosis of HER2+ breast cancer cells, which is associated with poor clinical outcomes and survival (5,6). However, to the best of our knowledge, there are no studies regarding the regulation of REV-ERBα in gastric cancer. It is also unknown whether REV-ERBα alterations are associated with the clinicopathological factors and prognosis of human gastric cancer. We hypothesize that the levels of REV-ERBα in gastric cancer are altered compared with normal tissues, and is associated with the clinicopathological features and prognosis of this disease. To examine this hypothesis, samples from patients who were diagnosed with gastric cancer were utilized, and the REV-ERBα gene and protein levels in normal and cancer tissues in those patients were compared. The associations between REV-ERBα expression with the Tumor-Node-Metastasis (TMN) stages and survival times were also analyzed in patients with gastric cancer. Finally, human gastric cancer cells were treated with REV-ERBα activator GSK4112 to determine its effects on apoptosis. Conclusively, the reduction of REV-ERBα was associated with clinical features and prognosis in gastric cancer, and REV-ERBα agonist resulted in apoptosis in gastric cancer cells.

Materials and methods

Patients and tissues collection

All samples were obtained from 74 patients with diagnosed gastric cancer who underwent surgery (surgical resection) at The First Affiliated Hospital of Anhui Medical University in 2014, as previously described (7). The median age of the study population was 63.4 years (range, 33–84 years) and the sex distribution was 58 males and 16 females. The clinical characteristics are summarized in Table I. None of the patients had received any other therapies, including radiotherapy or chemotherapy prior to surgery. The hepatic, renal and bone marrow functions of all patients were normal, and the Eastern Cooperative Oncology Group Performance Status scores were between 0–2 (8). Patients with abnormal function rest results, and those who were pregnant or breast-feeding were excluded.
Table I.

Association between REV-ERBα expression and clinicopathological variables.

REV-ERBα expression level, n

Clinicopathological variablesNumbers of patients, n (n=74)Low (n=43)High (n=31)P-value
Sex
  Male5835230.322
  Female1688
Age, years
  <60231670.138
  ≥60512724
Primary tumor site
  Gastric cardia or fundus3622140.392
  Gastric antrum or body382117
Diameter of tumor, cm
  <53118130.995
  ≥5432518
Level of differentiation
  Moderate228140.009
  Poor523715
T stage
  T1-T2215160.001
  T3-T4533914
TNM stage
  I–II184140.001
  III–IV564016
Lymph node metastasis
  Present5841170.007
  Absent16511

TNM, Tumor-Node-Metastasis; REV-ERBα, nuclear receptor subfamily 1 group D member 1.

All patients provided written informed consent. The study protocol was approved by the Clinical Research Ethics Committee of Anhui Medical University (Hefei, China). All methods were performed in accordance with the human ethics guidelines in the clinical research project (9).

Cell culture

The human gastric cancer SGC-7,901 [American Type Culture Collection (ATCC), Manassas, VA, USA] and BGC-823 (ATCC) cell lines and human normal gastric epithelial GES-1 (ATCC) cell line were employed to detect REV-ERBα expression. Cells were maintained in Dulbecco's modified Eagle's medium (DMEM; Gibco; Thermo Fisher Scientific, Inc., Waltham, MA, USA) containing high glucose, 1 mmol/l L-glutamine, pyridoxine hydrochloride, 110 mg/l sodium pyruvate and bicarbonate. Additionally, 10% heat inactivated foetal calf serum (Clark Bioscience, Richmond, VA, USA), 100 U/ml penicillin and 100 µg/ml streptomycin were added to the DMEM. Cells were cultured at 37°C in a humidified atmosphere of 5% CO2.

Immunohistochemistry

REV-ERBα expression in human gastric cancer and normal tissues (5 cm from the tumor site) was measured by immunohistochemistry as described previously (7). Immunohistochemistry was performed on 4-µm-thick sections from 10% formalin-fixed paraffin-embedded tissue specimens. Sections were deparaffinized with 100% xylene at 25°C for 10 min and removed xylene through a graded series (100, 85 and 70% ethanol) and were subjected to microwaving with 10 mm citrate buffer (pH=6.0) at 100°C for 5 min. Briefly, the sections were blocked with 3% hydrogen peroxide and 10% normal goat serum (Clark Bioscience) each for 10 min at room temperature, and then incubated with REV-ERBα rabbit antibody (cat no. AB174309; 1:100 dilution; Abcam, Cambridge, MA, USA) overnight at 4°C. Following incubation with a biotin-conjugated secondary antibody (cat. no. PV6000; 1:100 dilution; ZSGB-BIO; OriGene Technologies, Inc., Beijing, China), the tissue slides were incubated with a streptavidin-biotin horseradish peroxidase complex for 30 min at room temperature, followed by incubation with 3,3′-diaminobenzidine (ZSGB-BIO; OriGene Technologies, Inc.) for 5 min at room temperature. The counterstaining with 20% hematoxylin was then performed for 60 sec at room temperature, and images of stained samples were captured in a single-blinded manner under a fluorescent microscope at a magnification of ×200. The relative protein expression of all images was calculated using mean optical density units, and the sequences were analyzed using IPWIN Application software version 6.0.0260 (Media Cybernetics, Inc., Rockville, MD, USA). The staining intensity was scored according to the number of cells: 0, no staining; 1 (≤25%), weakly stained; 2 (25–50%), moderately stained; or 3 (≥50%), markedly stained. A low REV-ERBα expression was defined as score ‘0’, ‘1’ or ‘2’, and a high REV-ERBα expression was defined as score ‘3’. The patients were divided into two groups: The low expression group (n=43) and high expression group (n=31), as summarized in Table I.

Western blot analysis

Gastric tissues and cells were lysed in lysis buffer (25 mM HEPES, 2 mM MgCl2, 2 mM DTT, 1 mM EDTA, 1 mM PSMF, 5 µg/ml leupeptin, pH 7.4). Subsequent to freeze-thawing the suspension liquid containing the extracted protein 3 times, the lysates were centrifuged at 32,869.2 × g at 4°C for 30 min. The concentration of all the extracted protein was determined by the BCA assay. The protein extracts (10 µl) were separated by 12% SDS-PAGE and transferred to polyvinylidene fluoride (PVDF) membranes. Following non-specific blocking with 5% skimmed milk at room temperature for 2 h, PVDF membranes were washed 2 times with TBST (TBS contained 0.1% Tween-20) for 10 min each time. The membranes were then incubated with primary antibodies against: REV-ERBα (rabbit; cat no. AB174309; 1:500 dilution; Abcam); cleaved caspase-3 (mouse; cat no. SC70497; 1:500 dilution; Santa Cruz Biotechnology, Inc., Dallas, TX, USA); B-cell lymphoma 2 (Bcl-2; mouse; cat no. SC23960; 1:500 dilution; Santa Cruz Biotechnology, Inc.); Bcl-2-associated X protein (Bax; mouse; cat no. SC23959; 1:500 dilution; Santa Cruz Biotechnology, Inc.); and β-actin (mouse; cat no. AB8226; 1:1,000 dilution; Abcam) overnight at 4°C, and then washed 3 times with TBST for 10 min each time. The membranes were incubated with the corresponding Goat anti-mouse horseradish peroxidase-conjugated secondary antibody (mouse; cat no. AP124P; 1:1,000 dilution; EMD Millipore, Billerica, MA, USA) or rabbit anti-Goat horseradish peroxidase-conjugated secondary antibody (rabbit; cat no. AP106P; 1:1,000 dilution; EMD Millipore) for 2 h at 20°C, and then washed 3 times with TBST again for 10 min each time. Finally, the detection of the molecules of interest was performed using enhanced chemiluminescence (Beyotime Institute of Biotechnology, Haimen, China). The bands were quantified to calculate relative protein expression levels using Quantity one software version 4.99.5.2.0 (Bio-Rad Laboratories, Inc., Hercules, CA, USA).

Reverse transcription quantitative polymerase chain reaction (RT-qPCR)

Total RNA was extracted from human tissues and cells using TRIzol® (Life Technologies; Thermo Fisher Scientific, Inc.) according to the manufacturer's protocol. Total RNA was reverse transcribed by cDNA synthesis using a PrimeScript RT Reagent kit with gDNA Eraser (Perfect Real Time; Takara Bio, Inc., Otsu, Japan) at 37°C for 30 min and 85°C for 5 sec. qPCR was performed using a 7,900 Thermal Cycler (ABI, Applied Biosystems; Thermo Fisher Scientific, Inc.) with GoTaq® Green Master Mix (Promega Corporation, Madison, WI USA) at an initial denaturation at 95°C for 30 sec, followed by 40 cycles of denaturation for 5 sec at 95°C, annealing for 30 sec at 60°C and extension for 15 sec at 72°C. The qPCR primers for REV-ERBα were 5′-ACAGAATCGAACTCTGCACTTCT-3′ (forward) and 5′-GGGGAGGGAGGCAGGTATT-3′ (reverse) (10). The primers for β-actin were 5′-CATGTACGTTGCTATCCAGGC-3′ (forward) and 5′-CTCCTTAATGTCACGCACGAT-3 (reverse). The cycle threshold (Cq) values were obtained in each sample. Relative levels of mRNA were determined using the 2−ΔΔCq method (10). β-actin was used as an internal gene for normalization.

Morphological measurement of apoptosis

The morphological changes associated with apoptosis were assayed using fluorescence microscopy following Hoechst33258 staining. The number of cells was counted in five random fields under a fluorescence microscope at a magnification of ×200. Briefly, SGC-7901 and BGC-823 cells (3,500 cells/well) were fixed for 30 min at room temperature in 70% ethanol, followed by Hoechst33258 (10 µg/ml) staining for 2 min at 37°C and then visualization using the UV fluorescence microscope. Apoptotic cells were considered as cells exhibiting nuclear and cytoplasmic shrinkage, chromatin condensation and apoptotic bodies. A minimum of 400 cells were counted, and the percentage of apoptotic cells, or the apoptotic index, was calculated as described previously (11).

Statistical analysis

Data are expressed as the mean ± standard deviation. Data analysis was performed using SPSS 17.0 software (SPSS, Inc., Chicago, IL, USA). Comparison between different groups was performed using analysis of variance. The Student-Newman-Keuls test was the post-hoc test used following analysis of variance. The χ2 test was utilized to analyze the associations between REV-ERBα expression levels and clinicopathological variables and survival time. A Kaplan-Meier test was utilized to describe survival curves and the log-rank test was used to analyze survival curves. P<0.05 was considered to indicate a statistically significant difference.

Results

REV-ERBα expression is decreased in human gastric cancer tissues

The REV-ERBα expression levels in normal gastric and mucous gastric cancer tissues, and gastric cancer tissues with different TNM stages, were determined by immunohistochemistry. As demonstrated in Fig. 1A and B, REV-ERBα protein levels were decreased in gastric cancer tissues, which was associated with increased TNM stage. Additionally, REV-ERBα expression in mucous gastric cancer tissues was also decreased compared with normal gastric tissues. Furthermore, the REV-ERBα expression in normal gastric and gastric cancer tissues was confirmed by western blot analysis (Fig. 1C and D). The mRNA levels of REV-ERBα were also measured by RT-qPCR (Fig. 1E). It was identified that the levels of REV-ERBα mRNA were also decreased in gastric cancer tissues, which was associated with incremental TNM stage. These results suggest that REV-ERBα levels are decreased significantly in gastric cancer tissues with higher TNM stages.
Figure 1.

REV-ERBα is decreased in human gastric cancer tissues. (A) The expression of REV-ERBα in normal gastric and mucous gastric cancer tissues, and gastric cancer tissues from patients with TNM I to IV stages was determined by immunohistochemistry. Scale bars=100 µm (original magnification, ×200). (B) The MOD indicated the changes in the expression levels of REV-ERBα by immunohistochemistry. (C) The expression of REV-ERBα in normal gastric and gastric cancer tissues from patients with TNM I to IV stages was measured by western blot analysis. β-actin was used a loading control. (D) Relative protein expression of REV-ERBα was normalized to that of β-actin in normal gastric and gastric cancer tissues. (E) The mRNA levels of REV-ERBα in normal gastric and gastric cancer tissues from patients with TNM I to IV stages were measured by reverse transcription quantitative polymerase chain reaction. Data are presented as the mean ± standard deviation. n=3. *P<0.05 vs. normal gastric tissues. N, normal gastric tissues; Mucous, mucous gastric cancer tissues; TNM, Tumor-Node-Metastasis; MOD, mean optical density; REV-ERBα, nuclear receptor subfamily 1 group D member 1.

Association between REV-ERBα expression and clinicopathological factors in gastric cancer

The association between the REV-ERBα expression and clinicopathological factors was analyzed using immunohistochemistry data (Table I). A low expression of REV-ERBα was significantly associated with poor differentiation (P=0.009), T stage (P=0.001), TMN stage (P=0.001) and lymph node metastasis (P=0.007). The results indicated that REV-ERBα level is associated with the progression of gastric cancer.

Association between REV-ERBα expression and survival time of patients with gastric cancer

The different survival times of patients with low and high REV-ERBα expression levels are summarized in Table II. The 3- and 5-year survival times of patients were significantly associated with REV-ERBα expression (P=0.009 and P=0.002, respectively). The patients with low REV-ERBα expression exhibited poor prognosis (P<0.05) compared with patients with high REV-ERBα expression (Fig. 2).
Table II.

Association between REV-ERBα expression and survival time of patients with gastric cancer.

3-year survival time5-year survival time


REV-ERBα expressionSurvival, nMortality, nP-valueSurvival, nMortality, nP-value
Low12310.0098350.002
High18131615

REV-ERBα, nuclear receptor subfamily 1 group D member 1.

Figure 2.

Log-rank test analysis of the association between REV-ERBα expression and survival time of patients with gastric cancer. Patients with high REV-ERBα expression survived (median survival, 32.70 months) significantly longer compared with patients with low REV-ERBα expression (median survival, 12.40 months). REV-ERBα, nuclear receptor subfamily 1 group D member 1.

Cleaved caspase-3 expression is downregulated, whereas the Bcl-2 expression and Bcl-2/Bax are upregulated, in gastric cancer tissues

To determine whether REV-ERBα was associated with the expression of cleaved caspase-3, Bcl-2 and Bax, western blot analysis was employed to detect the levels of these proteins. As indicated in Fig. 3A and B, the expression levels of cleaved caspase-3 were downregulated in gastric cancer tissues, which was associated with enhanced TNM stage. The Bcl-2 expression levels were upregulated in gastric cancer tissues, which were also associated with enhanced TNM stage. Additionally, the ratio of Bcl-2 to Bax, according to the densitometry of the western blot analysis bands (Fig. 3C), was increased in gastric cancer tissues compared with normal gastric tissues. Therefore, these results suggest that the level of REV-ERBα is decreased in human gastric cancer, which is associated with decreased levels of apoptosis.
Figure 3.

In gastric cancer tissues, the cleaved caspase-3 expression level is downregulated, whereas the expression levels of Bcl-2 and the Bcl-2/Bax ratio are upregulated. (A) Expression of cleaved caspase-3, Bcl-2 and Bax in normal gastric tissues and gastric cancer tissues from patients with TNM I to IV stages was evaluated by western blot analysis. β-actin was used as a loading control. (B) Relative protein expression of cleaved caspase-3, Bcl-2 and Bax was normalized to that of β-actin. (C) Densitometry of Bcl-2/Bax ratio according to western blot analysis bands. Data are represented as the mean ± standard deviation. n=3. *P<0.05 vs. normal gastric tissues. N, normal; Bcl-2, B-cell lymphoma 2; Bax, Bcl-2-associated X protein; TNM, Tumor-Node-Metastasis; REV-ERBα, nuclear receptor subfamily 1 group D member 1.

REV-ERBα expression is decreased in human gastric cancer cells, and activation of REV-ERBα causes apoptosis in gastric cancer cells

To additionally investigate the REV-ERBα expression in gastric cancer, GES-1, SGC-7901 and BGC-823 cell lines were employed to determine the expression level of REV-ERBα (Fig. 4A and B). The REV-ERBα expression levels were significantly decreased in SGC-7901 (moderately differentiated) and BGC-823 (undifferentiated) compared with the GES-1 cell line. The mRNA levels of REV-ERBα were also decreased in SGC-7901 and BGC-823 cells compared with the GES-1 cell line (Fig. 4C). Furthermore, SGC-7901 and BGC-823 cells were treated with the REV-ERBα activator GSK4112 (20 and 40 µM; MedChemExpress, Monmouth Junction, NJ, USA), and it was identified that GSK4112 treatment for 48 h at 37°C caused an increase in apoptosis in a dose-dependent manner (Fig. 5). Therefore, these results suggest that REV-ERBα activation induces apoptosis in human gastric cancer cells.
Figure 4.

Expression of REV-ERBα is decreased in human gastric cells. (A) Expression of REV-ERBα in the normal gastric epithelial GES-1 cell line and human gastric cancer SGC-7901 and BGC-823 cell lines was measured by western blot analysis. β-actin was used as a loading control. (B) Relative protein expression of REV-ERBα was normalized to that of β-actin. (C) The mRNA levels of REV-ERBα was measured by reverse transcription quantitative polymerase chain reaction in the normal gastric epithelial GES-1 cell line and human gastric cancer SGC-7901 and BGC-823 cell lines. Data are presented as the mean ± standard deviation. n=3. *P<0.05 vs. normal gastric epithelial GES-1 cell line. REV-ERBα, nuclear receptor subfamily 1 group D member 1.

Figure 5.

Activation of REV-ERBα causes apoptosis in SGC-7901 and BGC-823 cell lines. SGC-7901 and BGC-823 cells were treated with a REV-ERBα activator GSK4112 (20 and 40 µM) for 48 h. Hoechst33258 staining was performed to detect apoptotic cells that exhibited nuclear and cytoplasmic shrinkage, chromatin condensation and apoptotic bodies using UV fluorescence microscopy (original magnification, ×200) and were illustrated using red arrows. Data are represented as the mean ± standard deviation. n=4. ***P<0.001 vs. Veh. Veh, vehicle; REV-ERBα, nuclear receptor subfamily 1 group D member 1.

Discussion

REV-ERBs were originally regarded as orphan receptors to regulate gene transcription in response to multifarious environmental stimuli (12). The members of REV-ERB family, including REV-ERBα and REV-ERBβ, exhibit abundant and overlapping expression in adipose, muscle, brain and liver tissues (13). However, REV-ERBα is broadly expressed at the similar level in a number of different tissues, whereas REV-ERBβ is highly expressed in parts of the brain, including the pineal gland and prefrontal cortex, thyroid, uterus and pituitary (12). REV-ERBα modulates the circadian rhythm by directly activating the expression of key circadian clock genes, including Clock circadian regulator, Brain and muscle ANRT-like 1, Cryptochrome and Period (14–17). Epidemiological data indicate that disruption of the circadian clock is associated with an increased risk of development of breast cancer (18,19). Dysregulation of the circadian clock genes may have complex effects on energy homeostasis, potentially resulting in metabolic disorders including cancer (20,21). The present study identified that REV-ERBα expression was significantly decreased in human gastric cancer tissues, which was associated with different clinicopathological stages. This was in agreement with the results that the levels of REV-ERBα were additionally decreased in undifferentiated BGC-823 cells compared with moderately differentiated SGC-7,901 cells. These data suggest the possibility of REV-ERBα as a biomarker of gastric cancer. It has also been demonstrated that the REV-ERBα expression leading to apoptosis was affected by circadian rhythms (22). REV-ERBα controls the circadian clock genes and regulates Early growth response 1 expression, causing extensive expression of Tumor protein p73 (p73) (23). p73 activates the transcription of Bax and Bcl-2, causing the release of cytochrome c from the mitochondria (24). Apoptosome assembly, and the eventual cleavage and activation of transducer caspase-9, in turn cleaves and activates executioner caspase-3. Hence, the circadian clock has a regulating role in the expression of apoptosis factors (Caspase-3, Bcl-2 and Bax) and the activation of the apoptosis pathway (24). The present study identified that REV-ERBα expression was decreased in human gastric cancer, and that this decrease may protect against apoptosis by decreasing the levels of cleaved caspase-3 and increasing Bcl-2 levels. However, one limitation of the present study is that there were only 74 patients included. A larger human cohort is required to confirm these results. It was also unknown how REV-ERBα regulates the apoptosis pathway and expression of apoptosis-associated factors, including cleaved caspase-3, Bcl-2 and Bax, in gastric cancer. It has been demonstrated previously that REV-ERBα regulates lipid metabolism during proliferation and apoptosis (2,25,26). The preliminary data from the present study suggested that REV-ERBα decreased glycolysis levels in gastric cancer cells (data not shown). Nevertheless, it is unclear whether a REV-ERBα-mediated decrease of glycolysis is beneficial for therapy in gastric cancer. In summary, the present study employed immunohistochemistry, western blot analysis and RT-qPCR methods, and identified that REV-ERBα expression was decreased in human gastric cancer tissues. The data indicated that REV-ERBα expression was significantly associated with poor differentiation, T stage, TMN stage and lymph node metastasis in human gastric cancer. Additionally, the survival time of patients was significantly associated with REV-ERBα expression, suggesting that REV-ERBα may be an independent prognosis factor in gastric cancer. Furthermore, REV-ERBα activation induced apoptosis in human gastric cancer cells. Therefore, REV-ERBα is a potential biomarker for tumor development and prognosis, and a potential therapeutic target for gastric cancer.
  26 in total

1.  Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

Authors:  K J Livak; T D Schmittgen
Journal:  Methods       Date:  2001-12       Impact factor: 3.608

Review 2.  The therapeutic potential of nuclear receptor modulators for treatment of metabolic disorders: PPARγ, RORs, and Rev-erbs.

Authors:  David P Marciano; Mi Ra Chang; Cesar A Corzo; Devrishi Goswami; Vinh Q Lam; Bruce D Pascal; Patrick R Griffin
Journal:  Cell Metab       Date:  2014-01-16       Impact factor: 27.287

3.  Circadian clock disruption improves the efficacy of chemotherapy through p73-mediated apoptosis.

Authors:  Jin Hyup Lee; Aziz Sancar
Journal:  Proc Natl Acad Sci U S A       Date:  2011-05-31       Impact factor: 11.205

4.  An RNA interference screen identifies metabolic regulators NR1D1 and PBP as novel survival factors for breast cancer cells with the ERBB2 signature.

Authors:  Antonis Kourtidis; Ritu Jain; Richard D Carkner; Cheryl Eifert; M Julia Brosnan; Douglas S Conklin
Journal:  Cancer Res       Date:  2010-02-16       Impact factor: 12.701

5.  Glasgow Prognostic Score is superior to ECOG PS as a prognostic factor in patients with gastric cancer with peritoneal seeding.

Authors:  Shu-Qiang Yuan; Run-Cong Nie; Yong-Ming Chen; Hai-Bo Qiu; Xiao-Ping Li; Xiao-Jiang Chen; Li-Pu Xu; Li-Fang Yang; Xiao-Wei Sun; Yuan-Fang Li; Zhi-Wei Zhou; Shi Chen; Ying-Bo Chen
Journal:  Oncol Lett       Date:  2018-01-19       Impact factor: 2.967

Review 6.  Circadian Genes in Breast Cancer.

Authors:  E Reszka; M Przybek
Journal:  Adv Clin Chem       Date:  2016-04-15       Impact factor: 5.394

7.  DNA Damage and Aging Around the Clock.

Authors:  Paula Gutierrez-Martinez; Derrick J Rossi; Isabel Beerman
Journal:  Trends Mol Med       Date:  2016-06-23       Impact factor: 11.951

8.  Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012.

Authors:  Jacques Ferlay; Isabelle Soerjomataram; Rajesh Dikshit; Sultan Eser; Colin Mathers; Marise Rebelo; Donald Maxwell Parkin; David Forman; Freddie Bray
Journal:  Int J Cancer       Date:  2014-10-09       Impact factor: 7.396

9.  AMPK activator AICAR promotes 5-FU-induced apoptosis in gastric cancer cells.

Authors:  Yan Wu; Yijun Qi; Hu Liu; Xiaoshan Wang; Huaqing Zhu; Zhengguang Wang
Journal:  Mol Cell Biochem       Date:  2015-10-24       Impact factor: 3.396

10.  EGR1 regulates hepatic clock gene amplitude by activating Per1 transcription.

Authors:  Weiwei Tao; Jing Wu; Qian Zhang; Shan-Shan Lai; Shan Jiang; Chen Jiang; Ying Xu; Bin Xue; Jie Du; Chao-Jun Li
Journal:  Sci Rep       Date:  2015-10-16       Impact factor: 4.379

View more
  9 in total

Review 1.  Interplay between Circadian Clock and Cancer: New Frontiers for Cancer Treatment.

Authors:  Gabriele Sulli; Michael Tun Yin Lam; Satchidananda Panda
Journal:  Trends Cancer       Date:  2019-08-03

2.  Exploring the impact of night shift work on methylation of circadian genes.

Authors:  Jennifer A Ritonja; Kristan J Aronson; Lisa Flaten; Danai G Topouza; Qing Ling Duan; Francine Durocher; Joan E Tranmer; Parveen Bhatti
Journal:  Epigenetics       Date:  2021-11-26       Impact factor: 4.861

3.  The Expression of PPAR Pathway-Related Genes Can Better Predict the Prognosis of Patients with Colon Adenocarcinoma.

Authors:  Xiao-Yu Zhou; Jian-Qi Wang; Jin-Xu Chen; Jing-Song Chen
Journal:  PPAR Res       Date:  2022-04-18       Impact factor: 4.385

4.  Rev-erbα inhibits proliferation by reducing glycolytic flux and pentose phosphate pathway in human gastric cancer cells.

Authors:  Linlin Tao; Haoyuan Yu; Rui Liang; Ru Jia; Jingjing Wang; Kai Jiang; Zhengguang Wang
Journal:  Oncogenesis       Date:  2019-10-07       Impact factor: 7.485

5.  Expression Patterns of Clock Gene mRNAs and Clock Proteins in Human Psoriatic Skin Samples.

Authors:  Viktória Németh; Szabina Horváth; Ágnes Kinyó; Rolland Gyulai; Zsuzsanna Lengyel
Journal:  Int J Mol Sci       Date:  2021-12-23       Impact factor: 5.923

6.  RORα and REV-ERBα are Associated With Clinicopathological Parameters and are Independent Biomarkers of Prognosis in Gastric Cancer.

Authors:  Xiaoshan Wang; Ru Jia; Ke Chen; Jingjing Wang; Kai Jiang; Zhengguang Wang
Journal:  Technol Cancer Res Treat       Date:  2021 Jan-Dec

7.  REV-ERBα Agonist GSK4112 attenuates Fas-induced Acute Hepatic Damage in Mice.

Authors:  Ruyue Shao; Yongqiang Yang; Kerui Fan; Xicheng Wu; Rong Jiang; Li Tang; Longjiang Li; Yi Shen; Gang Liu; Li Zhang
Journal:  Int J Med Sci       Date:  2021-10-25       Impact factor: 3.738

8.  Rev-erbα exacerbates hepatic steatosis in alcoholic liver diseases through regulating autophagy.

Authors:  Qingxue Liu; Lei Xu; Meifei Wu; Yiwen Zhou; Junfa Yang; Cheng Huang; Tao Xu; Jun Li; Lei Zhang
Journal:  Cell Biosci       Date:  2021-07-10       Impact factor: 7.133

Review 9.  Targeting REV-ERBα for therapeutic purposes: promises and challenges.

Authors:  Shuai Wang; Feng Li; Yanke Lin; Baojian Wu
Journal:  Theranostics       Date:  2020-03-04       Impact factor: 11.556

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.