3.Extramammary Paget's disease due to underlying anal canal adenocarcinoma.
Shan-xian LOU ; Li-xia WANG ; Hong-qi SHI
Chinese Journal of Pathology 2006;35(11):701-701
Adenocarcinoma
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metabolism
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secondary
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surgery
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Anal Canal
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chemistry
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pathology
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surgery
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Anus Neoplasms
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metabolism
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pathology
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surgery
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Carcinoembryonic Antigen
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analysis
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Diagnosis, Differential
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Humans
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Immunohistochemistry
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Keratin-20
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analysis
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Male
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Middle Aged
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Mucin-1
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analysis
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Paget Disease, Extramammary
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metabolism
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secretion
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surgery
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Skin Neoplasms
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metabolism
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secretion
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surgery
4.A case of retroperitoneal fibrosis.
Xiang-Shan XU ; Yuan-Zhe JIN ; Qi WANG
Chinese Journal of Cardiology 2009;37(11):1047-1048
5.The role of tumor associated macrophages in tumor progression
Hongmei WU ; Lei QI ; Lihui SHAN ; Cuicui CHAI ; Lifeng WANG
Practical Oncology Journal 2014;(3):258-262
Tumor associate macrophages ( TAMs) play a significant role in the interaction of tumor inflam-mative microenvironment and tumor cells .TAMs originate from monocytic precursors ,recruiting into tumor tissue by colony stimulating factor ( CSF) .This review summarized that TAMs promote tumor progression and metastasis though angiogenesis ,lymphogenesis , immunosuppression , matrix remodeling and affecting cancer stem cells .The article pointed that targeting TAMs is a new strategy for future tumor therapy .
6.Impact of transrectal real-time tissue elastography guiding biopsy combined with peak strain index for diagnosing prostate cancer
Qi MA ; Hanbing CHEN ; Caishan WANG ; Dongrong YANG ; Yuxi SHAN
Chinese Journal of Urology 2017;38(8):619-623
Objective To evaluate the value of transrectal real-time tissue elastography (RTE) targeted prostate biopsy in the peripheral zone combined with peak strain index.Methods One hundred and forty-one patients with suspicious prostate lesions in the peripheral zone were evaluated from February 2011 to February 2014.All the patients underwent RTE with a mean age of 71.6 years,PSA of 30 ng/ml,prostate volume of 50.3 ml and measured peak strain index (PSI).The diagnostic value of PSI was assessed by receiver operating characteristic (ROC) curve.Two-core RTE combined with PSI targeted prostate biopsy was taken and subsequently a 10-core systematic biopsy was taken.The value of RTE was evaluated.The data of targeted biopsy and systematic biopsy in prostate were both reviewed and statistically compared.Results Cancer was detected in 72 of 141 patients (PSI,mean 24.79),and 69 patients had benign prostate disease (PSI,mean 3.02).PSI value of prostate cancer was significantly higher than that of the benign lesions (P < 0.05).Prostate cancer could be predicted with the highest sensitivity (87.5%) and specificity (88.6%) using the cutoff value of PSI ≥ 5.97 with an area under the curve of 0.95.RTE targeted biopsy combined with PSI could detect 95.6% of moderate or high risk prostate cancer.One hundred and fifty-nine suspicious areas detected by RTE in 141 patients were biopsied with 2 cores for each area.The positive incidence of prostate cancer in RTE-targeted biopsy cores was 44% and in systematic biopsy was 30.2% (P < 0.05).Among the 72 prostate cancer patients,63 cases (87.5%) were detected by RTE-targeted biopsy,62 cases (86.1%) by systematic biopsy (P > 0.05).Conclusions RTE combined PSI can improve the detection rate of prostate cancer in the peripheral zone and likewise guide targeted biopsy combined with svstematic biopsy to detect more moderate or high risk prostate cancer.
7.The effect of metformin on lipid disorders as measured by nuclear magnetic metabolomics and metabolic flux analysis
Qi-feng LIU ; Xue-qi LÜ ; Cong-cong GUO ; Shan-shan SUN ; Ya-nan WANG ; Xiang-ju JIN ; Ying-hong WANG
Acta Pharmaceutica Sinica 2021;56(4):1109-1119
Studies have found that metformin is not only the preferred drug for lowering blood sugar, but also shows lipid-lowering and weight-loss effects. The purpose of this study was to use a hyperlipidemia hamster model to investigate the lipid-lowering effect of metformin and its effect on important metabolic pathways in lipid metabolism disorders. Fifty golden hamsters were divided into a control group, a model group, metformin high- and low-dose groups, and a simvastatin group. A high-fat diet was fed for 1 week to create the model, and then drug was administered for 11 weeks with the high-fat diet. Serum was taken for measurement of blood lipid and blood glucose at 2, 6, and 9 weeks after administration, and at weeks 3, 5, and 9 feces and urine were collected for 1H NMR metabolomics tests. After 11 weeks of intravenous injection of [U-13C6] glucose, serum was collected for a 13C NMR metabolic flux test. The results showed that the administration of metformin can significantly reduce blood lipids and glucose levels and can significantly affect metabolic pathways such as sugar metabolism, lipid metabolism, ketone metabolism, amino acid metabolism, and intestinal flora metabolism. The results of the metabolic flux analysis showed that the high-fat diet reduced the metabolism of tricarboxylic acids by 37.48%. After administration of low and high doses of metformin the metabolism of tricarboxylic acid increased by 98.14% and 143.10%, respectively. After administration of simvastatin tricarboxylic acid metabolism increased by 33.18%. The results indicate that metformin has a significant effect on promoting energy metabolism. This study used a combination of metabolomics and metabolic flow to explore the effect of metformin on lipid metabolism disorders and quantifies changes in the key pathway of energy metabolism-the tricarboxylic acid cycle. This study provides useful information for the study of the efficacy and mechanism of metformin, as well as a practical technical method for the screening of lipid-lowering drugs based on a hamster model.
8.Antimicrobial and disinfectant resistance of pathogens isolated from hospi-tal environmental inanimate surfaces and hands of health care workers
Huiping WANG ; Hongjiang ZHANG ; Qi DONG ; Jie LIU ; Shan DUAN ; Junqi GE ; Zhonghua WANG
Chinese Journal of Infection Control 2016;15(12):921-925
Objective To investigate the types,antimicrobial resistance,and disinfectant resistance of pathogens isolated from hospital environmental inanimate surfaces and hands of health care workers (HCWs).Methods Pathogens isolated from hospital environmental inanimate surfaces and hands of HCWs in intensive care units and general wards in 16 hospitals in Beijing were performed bacterial identification,antimicrobial susceptibility testing,and disinfectant re-sistance testing. The carriage of antimicrobial resistance genes and disinfectant genes in pathogens were also detec-ted.Results A total of 979 specimens were collected from inanimate surfaces and hands of HCWs in 16 hospitals,75 (7.66% )pathogenic strains were isolated,78.67% of which were gram-negative bacilli. The top 3 pathogens were Pseud-omonasaeruginosa (P.aeruginosa,n= 24),Enterobactercloacae (E. cloacae,n= 14),and Klebsiella pneumoniae (K. pneumoniae,n= 4 ). One P. aeruginosa strain was resistant to aztreonam,gentamycin,tobramycin,ciprofloxacin,and levofloxacin;One E. cloacae strain was resistant to piperacillin,7 strains were resistant to nitrofurantoin;4 K. pneumoni-ae strains were all resistant to piperacillin,2 were resistant to cephalosporins,and 1 was resistant meropenem. P. aerugi-nosahad7drug-resistantgenes,positiverateofmirwas100.00% ;E.cloacaehad4drug-resistantgenes,positiveratesof tem 1and shv were both 100.00% ;K. pneumoniae had 5 drug-resistant genes,positive rates of shv and mir were both 100.00% . The resistant rates of P. aeruginosa and E. cloacae to chlorhexidine gluconate were 4.17% and 57.14% re-spectively,to trichloroisocyanuric acid were both 50.00% ,positive rates of drug-resistant genes (qacE△1-sul 1)were 79. 17% and 57.14% respectively;K. pneumoniae had no resistance to two kinds of disinfectant,dug-resistance gene was not found.Conclusion Multiple common pathogens which can cause healthcare-associated infection exist in hospital environ-mental inanimate surfaces and hands of HCWs,which are dominated by gram-negative bacilli,pathogens had resistance to antimicrobial agents and disinfectant in different degrees.
9.Novel hybrids of (phenylsulfonyl)furoxan and N-benzyl matrinol as anti-hepatocellular carcinoma agents.
Li-qin HE ; Qi YANG ; Ya-xian WU ; Xiao-shan WANG
Acta Pharmaceutica Sinica 2015;50(5):574-578
N-Benzyl matrinol was obtained by hydrolysis, benzylation and reduction reaction from matrine. A series of hybrids (8a-8n) from (phenylsulfonyl)furoxan and N-benzyl matrinol were synthesized and biologically evaluated as anti-hepatocellular carcinoma agents. All target compounds were evaluated for anti-proliferative activity against human hepatocellular Bel-7402, SMMC-7721, Bel-7404, and HepG2 cells in vitro by MTT method. The results indicated that all of these compounds had potent anti-proliferative activity which were more potent than their parent compound and 5-FU, especially 8a-8h and 8j showed the strongest anti-HCC HepG2 cell activity with IC50 values of 0.12-0.93 μmol x L(-1).
Antineoplastic Agents
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pharmacology
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Carcinoma, Hepatocellular
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Fluorouracil
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Hep G2 Cells
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Humans
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Liver Neoplasms
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Oxadiazoles
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pharmacology
10.Thrombin light chain and GRO-1 as potential serum biomarkers and their relationship with clinicopathological features of hepatocellular carcinoma
Feixiang WU ; Qi WANG ; Shengxin HUANG ; Liang MA ; Shan HUANG ; Lequn LI ; Yinnong ZHAO
Chinese Journal of Hepatobiliary Surgery 2012;18(8):592-596
Objective To identify potential serum biomarkers specific for hepatocellular carcinoma (HCC).Methods Eighty-one patients wilh hepatitis B-related HCC and 80 healthy controls were randomly divided into a training set (48 HCC,47 controls) and a testing set (33 HCC,33 controls).Serum proteomic profiles were measured using surface-enhanced laser desorption/ionization time-offlight mass spectroscopy (SELDI-TOF-MS).A classification tree was established by the Biomarker Pattern Software.Candidate biomarkcrs were separated by HPLC and identified by MA1DI-MS/MS and database searching.Forty-eight patients with HCC,54 cirrhotic patients and 42 healthy subjects were clinically validated using candidate biomarkers by SELDI-Immunoassay.Real-time reverse transcriptase-polymerase chain reaction was performed to observe GRO-1 and Thrombin in 55 HCC tissues and 13 normal hepatolage tissues.Results Two up-regulated protein peaks were automatically chosen as a classification tree in the training set.These biomarkers were identified as thrombin light chain and CXC chemokines ligand 1 (GRO-1).The sensitivity and specificity of this classification tree were 89.6%.The multivariate model using the two biomarkers and alpha-fetoprotein (AFP) resulted in a sensitivity of 91.7% and specificity of 92.7%,which was significantly better than AFP alone.The mRNA expression of GRO-1 and Thrombin were found in all HCC tissues.There were significant associations between GRO-1 gene expression and some clinical and pathological findings such as metastasis and recurrence (P<0.05).Significant differences of 5-year survival rates wee observed among subgroups according to the expression of GRO-1 (P<0.05).There were significant associations between Thrombin gene expression and some clinical and pathological findings such as recurrence and AFP (P<0.05).Significant differences of 5-year survival rates were observed among the subgroups according to the expression of THROMBIN (P<0.05).A positive correlation was found between GRO-1 and Thrombin (r=0.73,P<0.01).Conclusion Thrombin light chain and GRO-1 are potential biomarkers of HCC.The expression of GRO-1 in HCC tissues was a valuable indicator in estimating metastasis and recurrence in HCC patients.