Guangzhou Kingmed Center for Clinical Laboratory

Guangzhou, China

Guangzhou Kingmed Center for Clinical Laboratory

Guangzhou, China

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Dai Q.-S.,Sun Yat Sen University | Hua R.-X.,Sun Yat Sen University | Zhang R.,William Harvey Research Institute | Huang Y.-S.,Guangzhou Kingmed Center for Clinical Laboratory | And 4 more authors.
Gene | Year: 2013

Numerous studies have investigated the association between xeroderma pigmentosum complementation group C ( XPC) poly (AT) deletion/insertion (PAT -/+) polymorphism and cancer susceptibility; however, the findings are inconsistent. Therefore, we performed a meta-analysis based on 32 publications including 10,214 cases and 11,302 controls to acquire a more robust estimation of the relationship. We searched publications from MEDLINE, EMBASE and CBM which assessed the associations between XPC PAT -/+ polymorphism and cancer risk. We calculated pooled odds ratio (OR) and 95% confidence interval (CI) by using either fixed-effects or random-effects model. We found that individuals carrying the PAT +/+ genotype have significantly increased cancer risk (PAT +/+ vs. PAT -/-: OR. = 1.18, 95% CI. = 1.03-1.35 and recessive model: OR. = 1.19, 95% CI. = 1.06-1.33). Further stratification analysis showed a significantly increased risk for prostate cancer (PAT +/+ vs. PAT -/-: OR. = 2.20, 95% CI. = 1.39-3.48, recessive model: OR. = 2.07, 95% CI. = 1.33-3.23 and PAT + vs. PAT -: OR. = 1.39, 95% CI. = 1.12-1.71), bladder cancer (recessive model: OR. = 1.33, 95% CI. = 1.03-1.72), Caucasian ethnicity (recessive model: OR. = 1.21, 95% CI. = 1.02-1.43), population-based studies (recessive model: OR. = 1.23, 95% CI. = 1.05-1.43) and studies with relatively large sample size (PAT +/+ vs. PAT -/-: OR. = 1.18, 95% CI. = 1.04-1.35 and recessive model: OR. = 1.20, 95% CI. = 1.08-1.33). Despite some limitations, this meta-analysis established solid statistical evidence for the association between the XPC PAT +/+ genotype and cancer risk, especially for urinary system cancer, but this association warrants further validation in single large studies. © 2013 Elsevier B.V.


Zhang Y.,Sun Yat Sen University | Huang Y.-S.,Guangzhou Kingmed Center for Clinical Laboratory | Lin W.-Q.,Sun Yat Sen University | Zhang S.-D.,Sun Yat Sen University | And 6 more authors.
Tumor Biology | Year: 2014

A number of studies have investigated the association between the NBS1 Glu185Gln (rs1805794, 8360 G > C) polymorphism and risk for urinary system cancer including bladder cancer, prostate cancer, and renal cell cancer; however, the findings are conflicting. We conducted a meta-analysis focusing on eight published studies with 3,542 cases and 4,210 controls to derive a more precise evaluation of the relationship between the NBS1 Glu185Gln polymorphism and urinary system cancer susceptibility. Overall, the NBS1 Glu185Gln polymorphism was significantly related to increased risk for urinary system cancer (homozygous model: odds ratio (OR) = 1.23, 95 % confidence interval (95 % CI) = 1.05–1.44, p = 0.011; heterozygous model: OR = 1.14, 95 % CI = 1.04–1.26, p = 0.008; dominant model: OR = 1.16, 95 % CI = 1.05–1.27, p = 0.002; and Gln vs. Glu: OR = 1.12, 95 % CI = 1.04–1.20, p = 0.002) and further stratification analysis indicated an increased risk for bladder cancer (heterozygous model: OR = 1.13, 95 % CI = 1.02–1.26, p = 0.022; dominant model: OR = 1.14, 95 % CI = 1.03–1.26, p = 0.014; and Gln vs. Glu: OR = 1.09, 95 % CI = 1.01–1.18, p = 0.023) and Caucasian populations (homozygous model: OR = 1.33, 95 % CI = 1.11–1.59, p = 0.002; heterozygous model: OR = 1.16, 95 % CI = 1.04–1.30, p = 0.009; dominant model: OR = 1.19, 95 % CI = 1.07–1.32, p = 0.001; and Gln vs. Glu: OR = 1.15, 95 % CI = 1.06–1.25, p < 0.001). Despite some limitations, this meta-analysis established some solid statistical evidence for the association between NBS1 Glu185Gln polymorphism and increased risk for urinary system cancer, especially for bladder cancer, but more well-designed prospective studies are needed to further verify our findings. © 2014, International Society of Oncology and BioMarkers (ISOBM).


PubMed | Guangzhou Kingmed Center for Clinical Laboratory and Southern Medical University
Type: Journal Article | Journal: Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine | Year: 2015

Triple-negative breast cancer (TNBC) has a more invasive and metastatic potential than the other types of breast cancer and hence is associated with poor prognosis. Zeste homolog 2 (EZH2) and DNA methyltransferase 1 (DNMT1) could lead to tumorigenesis by separately methylating histone H3K27 and CpG islands in tumor suppressor genes. In order to investigate the association between oncogenesis and the distribution of single nucleotide polymorphisms (SNPs) of EZH2, DNMT1, a case-control study on SNPs in TNBC cases from south China was conducted. A total of 13 SNPs were genotyped from 234 cases of TNBC tissues, and 300 normal blood samples from age-matched control group were analyzed using Snapshot technology. The expressions of EZH2 and DNMT1 were examined in the 234 cases of TNBC tissues by immunohistochemistry (IHC). The T allele of rs2288349 and the C allele of rs16999593 increase the risk of TNBC, with relative risk coefficients of 1.76 and 1.69, respectively (p<0.001). The TC genotypes of rs2288349 and rs16999593 were higher in TNBC compared with the control group; the cancer risk increased to 5.27 and 4.13, respectively (p<0.001). There were no significant differences between the frequencies of the other 10 SNPs and the risk of TNBC (p>0.05). Five common haplotypes (>8 % frequency) were identified with a cumulative frequency of 96 % in the controls, while the haplotypes of AAGTAG, GGGTGA, and GACCAG were significantly increased in the control group compared to that in patients (p<0.05). The G allele of rs10274701 significantly increased the EZH2 expression level in TNBC (p=0.01). This is the first study to demonstrate a significant association between TNBC risk and the polymorphisms of EZH2 and DNMT1, and our researches indicate that the SNPs of EZH2 and DNMT1 are risk predictors for TNBC.


Zhan X.-Y.,Guangzhou Kingmed Center for Clinical Laboratory | Li L.-Q.,Shanxi Center for Clinical Laboratories | Hu C.-H.,Guangzhou Kingmed Center for Clinical Laboratory | Zhu Q.-Y.,Guangzhou Kingmed Center for Clinical Laboratory
Journal of Clinical Microbiology | Year: 2010

A rapid two-step scheme based on PCR amplification and enzymatic digestion analysis of a 226-bp fragment of the 16S rRNA gene was developed to identify the Legionella genus by PCR amplification and to differentiate the Legionella pneumophila and non-Legionella pneumophila species by enzymatic digestion analysis. Among 42 ATCC strains (16 strains of L. pneumophila and 26 strains of non-L. pneumophila) and 200 Legionella isolates from environmental water samples, including pools, rivers, lakes, and cooling towers in Guangdong province, 99.59% of L. pneumophila and non-L. pneumophila strains were correctly identified and differentiated by this scheme. The procedure of this two-step identification and differentiation scheme is simple and takes only about 4 h. These results suggest that this two-step scheme provides a simple and convenient method for the rapid identification and differentiation of L. pneumophila and non-L. pneumophila species. Copyright © 2010, American Society for Microbiology. All Rights Reserved.


Zhao L.,Guangzhou Kingmed Center for Clinical Laboratory
Wei sheng wu xue bao = Acta microbiologica Sinica | Year: 2010

To evaluate polymerase chain reaction (PCR) combined with enzymatic digestion for identification of Legionella, and investigate status of Legionella in environmental water systems in Guangzhou. Forty-four water samples collected in Guangzhou were cultivated for Legionella, and Legionella isolates were identified by PCR-enzymatic digestion, 16S rDNA and mip gene sequencing analysis. Sixty-six strains of Legionella pneumophila and 46 Non-L. pneumophila were identified by PCR-enzymatic digestion and sequencing analysis. Forty-six strains of Non-L. pneumophila included 20 strains of L. feeilei, 17 L. gormanii, 7 L. oakridgensis and 2 L. longbeachae. PCR combined with enzymatic digestion is a simple, rapid, and specific method for the identification of Legionella. L. pneumophila was distributed widely, followed by L. feeilei, L. gormanii, L. oakridgensis and L. longbeachae, in environmental water in Guangzhou area.


Huang M.-Z.,Central South University | Li H.-B.,Guangzhou Kingmed Center for Clinical Laboratory | Nie X.-M.,Central South University | Wu X.-Y.,Central South University | Jiang X.-M.,Central South University
Diagnostic Cytopathology | Year: 2010

Human papillomavirus (HPV) infection in cervix is the most important reason for cervical cancer, but only 2% cervical HPV infection will develop into cervical cancer. So how to identify patients at risk of progressive cervical lesions from those infected with HPV to avoid over treatment is a big issue in clinic. The aims of this study were to detect the expression of HPV L1 capsid protein and p16INK4a in cervical lesions and to investigate the combination expression of HPV L1 capsid protein and p16INK4a in cervical lesions and its diagnostic efficiency in clinic. Immunochemical method was used to detect the expression of HPV L1 capsid protein and p16 INK4a in 169 cases of abnormal cytology. Histopathologic test was performed to identify cervical lesions of all the cases. χ2 test and spearman's rank correlation were used for statistical analysis. The diagnostic sensitivity, specificity, positive predictive values (PPV), negative predictive values (NPV), accuracy, and the area under the receive operating characteristic (ROC) curve (denoted by AZ) were calculated with SPSS 13.0. All the statistical tests were two sided at the 5% level of significance. L1 expression decreased (P < 0.001), but p16INK4a expression increased (P < 0.001) with histopathologic diagnosis increasing. The expression rates of HPV L1 capsid protein, p16INK4a, and L1(-)/p16(+) in cervical intraepithelial neoplasia (CIN)2, CIN3, and squamous-cell carcinoma were statistically different from those in CIN1 (P < 0.001). The expressions of HPV L1 capsid protein, L1(+)/p16(+), L1(+)/p16(-), and L1(-)/p16(-) were negatively correlated with the severity of cervical lesions (P < 0.001), whereas the expressions of p16INK4a and L1(-)/p16(+) were positively correlated with the severity of cervical lesions (P < 0.001). The specificity and AZ of combining L1 with p16 INK4a were statistically higher than L1 or p16 INK4a alone (P < 0.05). L1 and p16 INK4a are useful biomarkers for the early diagnosis of cervical lesions. The combination of L1 and p16INK4a has a higher diagnostic accuracy than L1 or p16INK4a alone in diagnosis of cervical lesions. © 2009 Wiley-Liss, Inc.


Mo Z.,Chongqing Medical University | Yu C.,Guangzhou Kingmed Center for Clinical Laboratory | Hu Z.,Guangzhou Kingmed Center for Clinical Laboratory | Feng W.,Chongqing Medical University
Clinical Laboratory | Year: 2012

Most of recognized α-thalassemia mutations include deletions of one or both α-globin genes. Here we describe a newly detected α-thalassemia-2 deletion characterized by a small 2.8 kb deletion involving the α 2 globin gene. This deletion has thus far been observed in one Chinese subject with hemoglobin H disease. Its breakpoints were detected to lie between coordinates 32485 and 35381 of the α-globin gene cluster (NG-000006.1), with a total of 2,894 nucleotides deleted. It was designated as -α2.8 deletion. The proband is a compound heterozygote deletion of --SEA and -α2.8, and the patient displayed very mild hemoglobin H disease phenotype with hemoglobin 9.8 g/dL.


Patent
Guangzhou Kingmed Center For Clinical Laboratory | Date: 2011-03-22

The present disclosure is directed to antibodies specific to carbamazepine, immunogens used to produce the antibodies, and immunoassay kits and methods for using the antibodies.


Patent
Guangzhou Kingmed Center For Clinical Laboratory | Date: 2011-03-22

The present disclosure is directed to antibodies specific to carbamazepine, immunogens used to produce the antibodies, and immunoassay kits and methods for using the antibodies.


PubMed | Guangzhou KingMed Center for Clinical Laboratory
Type: Journal Article | Journal: Archives of microbiology | Year: 2016

A PCR-based method targeting single-nucleotide polymorphisms (SNPs) in the 16S rRNA gene was developed for differential identification of Legionella pneumophila and non-Legionella pneumophila. Based on the bioinformatics analysis for 176 Legionella 16S rRNA gene fragments of 56 different Legionella species, a set of SNPs, A(628)C(629) was found to be highly specific to L. pneumophila strains. A multiplex assay was designed that was able to distinguish sites with limited sequence heterogeneity between L. pneumophila and non-L. pneumophila in the targeted 16S rRNA gene. The assay amplified a 261-bp amplicon for Legionella spp. and a set of 203- and 97-bp amplicons only specific to L. pneumophila species. Among 49 ATCC strains and 284 Legionella isolates from environmental water and clinical samples, 100% of L. pneumophila and non-L. pneumophila strains were correctly identified and differentiated by this assay. The assay presents a more rapid, sensitive and alternative method to the currently available PCR-sequencing detection and differentiation method.

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