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Xu D.,Guangzhou University | Wang J.,Guangzhou University | Zhou Z.,South China University of Technology | He Z.,Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics | Zhao Q.,Guangzhou University
Molecular Medicine Reports | Year: 2015

Hepatocellular carcinoma (HCC) is the leading cause of cancer-associated mortality worldwide; however, only limited therapeutic treatments are currently available. The present study aimed to investigate the effects of cannabinoids as novel therapeutic targets in HCC. In addition, the mechanism underlying the effects of a synthetic cannabinoid, WIN55, 212-2, on the BEL7402 HCC cell line was investigated. The results demonstrated that WIN55, 212-2 induced cell cycle arrest of the BEL7402 cells at the G0/G1 phase via cannabinoid receptor 2 (CB2) mediated downregulation of phosphorylated-extracellular signal-regulated kinases (ERK)1/2, upregulation of p27, and downregulation of cyclin D1 and cyclin-dependent kinase 4. Furthermore, inhibition of CB2 with the CB2 antagonist AM630 abrogated WIN55, 212-2-induced cell cycle arrest. Inhibition of ERK1/2 also resulted in cell cycle dysregulation and cell cycle arrest at the G0/G1 phase, which subsequently resulted in cell growth inhibition. In addition, the present study detected a significant reduction in matrix metalloproteinase-9, retinoblastoma protein and E2F1 expression, and migration inhibition by WIN treatment. These results suggested that cannabinoid receptor agonists, including WIN, may be considered as novel therapeutics for the treatment of HCC. Source


Zeng J.-C.,Guangdong Medical College | Zeng J.-C.,Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics | Zhang Z.,Guangdong Medical College | Li T.-Y.,Guangdong Medical College | And 18 more authors.
International Journal of Clinical and Experimental Pathology | Year: 2013

Despite the recent realization of Interleukin (IL)-35 in tumorigenesis, its exact impact on colorectal cancer (CRC) progression and prognosis, however, is yet to be elucidated clearly. We thus in the present report conducted comparative analysis of IL-35 levels between CRC patients and matched control subjects. IL-35 is highly expressed in all CRC tissues, which can be detected in vast majority of colorectal cancer cells. IL-35 levels in CRC lysates and serum samples are highly correlated to the severity of malignancy and the clinical stage of tumor. Particularly, a significant reduction for serum IL-35 was noted in patients after surgical resection, indicating that IL-35 promotes CRC progression associated with poor prognosis. Mechanistic study demonstrated a significant correlation between serum IL-35 levels and the number of peripheral regulatory T (Treg) cells in CRC patients, suggesting that IL-35 implicates in CRC pathogenesis probably by inducing Treg cells, while cancer cell-derived IL-35 may also recruit Treg cells into the tumor microenvironment in favor of tumor growth. Together, our data support that IL-35 could be a valuable biomarker for assessing CRC progression and prognosis in clinical settings. Source


Liang Y.-F.,Taiping Peoples Hospital of Dongguan | Zeng J.-C.,Guangdong Medical College | Zeng J.-C.,Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics | Ruan J.-B.,Taiping Peoples Hospital of Dongguan | And 5 more authors.
International Journal of Clinical and Experimental Pathology | Year: 2014

In this article, we described an ovarian sclerosing stromal tumor (SST) in a young woman with ectopic pregnancy. It is important to distinguish SST from fibroma, thecoma, and lipoid cell tumors clinically and histologically. Several unique histologic features including pseudolobulation, sclerosis and prominent vascularity are clearly reflected at histopathological findings. The SST cells were immunopositive for CD34, Desmin and SMA, and negative for factor VIII-related antigen, CD31, S-100, ER and PR. The patient's postoperative recovery was smooth and she was discharged after 21 days. Source


Li S.,Guangdong Medical College | Li S.,Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics | Chen G.,Sun Yat Sen University | Zhang Y.,Guangdong Medical College | And 5 more authors.
Optics Express | Year: 2014

This study aims to detect colorectal cancer with near-infrared Raman spectroscopy and feature selection techniques. A total of 306 Raman spectra of colorectal cancer tissues and normal tissues are acquired from 44 colorectal cancer patients. Five diagnostically important Raman bands in the regions of 815-830, 935-945, 1131-1141, 1447-1457 and 1665-1675cm-1 related to proteins, nucleic acids and lipids of tissues are identified with the ant colony optimization (ACO) and support vector machine (SVM). The diagnostic models built with the identified Raman bands provide a diagnostic accuracy of 93.2% for identifying colorectal cancer from normal Raman spectroscopy. The study demonstrates that the Raman spectroscopy associated with ACO-SVM diagnostic algorithms has great potential to characterize and diagnose colorectal cancer. © 2014 Optical Society of America. Source


Li S.,Guangdong Medical College | Li S.,Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics | Zhang Y.,Guangdong Medical College | Xu J.,Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics | And 7 more authors.
Applied Physics Letters | Year: 2014

This study aims to present a noninvasive prostate cancer screening methods using serum surface-enhanced Raman scattering (SERS) and support vector machine (SVM) techniques through peripheral blood sample. SERS measurements are performed using serum samples from 93 prostate cancer patients and 68 healthy volunteers by silver nanoparticles. Three types of kernel functions including linear, polynomial, and Gaussian radial basis function (RBF) are employed to build SVM diagnostic models for classifying measured SERS spectra. For comparably evaluating the performance of SVM classification models, the standard multivariate statistic analysis method of principal component analysis (PCA) is also applied to classify the same datasets. The study results show that for the RBF kernel SVM diagnostic model, the diagnostic accuracy of 98.1% is acquired, which is superior to the results of 91.3% obtained from PCA methods. The receiver operating characteristic curve of diagnostic models further confirm above research results. This study demonstrates that label-free serum SERS analysis technique combined with SVM diagnostic algorithm has great potential for noninvasive prostate cancer screening. © 2014 AIP Publishing LLC. Source

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