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  • 1
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    German Medical Science GMS Publishing House; Düsseldorf
    In:  124. Kongress der Deutschen Gesellschaft für Chirurgie; 20070501-20070504; München; DOC07dgch7244 /20071001/
    Publication Date: 2007-10-02
    Keywords: ddc: 610
    Language: German
    Type: conferenceObject
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  • 2
    Keywords: RENAL-FUNCTION ; ASSOCIATION ; MYOCARDIAL-INFARCTION ; PREVALENCE ; ARTERY-DISEASE ; US ADULTS ; GLOMERULAR-FILTRATION-RATE ; CHINA HEART SURVEY ; GLUCOSE REGULATION ; MICROALBUMINURIA
    Abstract: AIM: Chronic kidney disease is highly prevalent in the diabetic population and it is also associated with adverse outcomes in patients with acute coronary syndrome (ACS). However, the risk of reduced kidney function (RKF) in ACS patients with undiagnosed diabetes or pre-diabetes is yet to be clear. Herein, the present study attempts to investigate the risk for RKF in ACS patients with special reference to undiagnosed diabetes and pre-diabetes, generating possible recommendations for early intervention and management in ACS patients. METHODS: A cross-sectional design was performed to evaluate the risk for RKF in 2232 ACS patients according to glycaemic status from the China Heart Survey between June 2005 and August 2005 by using multivariate logistic regression. RESULTS: The prevalence of RKF in ACS patients with normal glucose metabolism, pre-diabetes, undiagnosed diabetes and diagnosed diabetes was 11.6%, 17.7%, 16.7% and 28.8%, respectively. In multivariate analysis, apart from ACS patients with diagnosed diabetes, those with pre-diabetes (odds ratio = 1.58, 95%:1.08-2.31) and undiagnosed diabetes (odds ratio = 1.51, 95%:1.01-2.26) also suffered from an increased risk for RKF, compared with those with normal glucose metabolism. Stratified by ACS subtypes, the associations of RKF with ACS subtypes remained statistically significant. CONCLUSIONS: The increased risk of RKF was significantly associated with undiagnosed diabetes and pre-diabetes, relative to normal glucose metabolism. Screenings for RKF among ACS patients with pre-diabetes or newly diagnosed diabetes would be highly recommended.
    Type of Publication: Journal article published
    PubMed ID: 23332008
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  • 3
    Abstract: Purpose: Elevated levels of neutrophils have been associated with poor survival in various cancers, but direct evidence supporting a role for neutrophils in the immunopathogenesis of human cancers is lacking.Experimental Design: A total of 573 patients with gastric cancer were enrolled in this study. Immunohistochemistry and real-time PCR were performed to analyze the distribution and clinical relevance of neutrophils in different microanatomic regions. The regulation and function of neutrophils were assessed both in vitro and in vivoResults: Increased neutrophil counts in the peripheral blood were associated with poor prognosis in gastric cancer patients. In gastric cancer tissues, neutrophils were enriched predominantly in the invasive margin, and neutrophil levels were a powerful predictor of poor survival in patients with gastric cancer. IL17+ neutrophils constitute a large portion of IL17-producing cells in human gastric cancer. Proinflammatory IL17 is a critical mediator of the recruitment of neutrophils into the invasive margin by CXC chemokines. Moreover, neutrophils at the invasive margin were a major source of matrix metalloproteinase-9, a secreted protein that stimulates proangiogenic activity in gastric cancer cells. Accordingly, high levels of infiltrated neutrophils at the invasive margin were positively correlated with angiogenesis progression in patients with gastric cancer.Conclusions: These data provide direct evidence supporting the pivotal role of neutrophils in gastric cancer progression and reveal a novel immune escape mechanism involving fine-tuned collaborative action between cancer cells and immune cells in the distinct tumor microenvironment. Clin Cancer Res; 23(6); 1575-85. (c)2016 AACR.
    Type of Publication: Journal article published
    PubMed ID: 27620275
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  • 4
    Keywords: RISK ; OVARIAN-CANCER ; BRCA2 MUTATIONS ; SINGLE-NUCLEOTIDE POLYMORPHISMS ; ALLELES ; LOCI ; GENOME-WIDE ASSOCIATION ; CONFER SUSCEPTIBILITY ; COMMON VARIANTS ; IDENTIFIES 2
    Abstract: Background: Breast cancer is one of the most common malignancies in women. Genome-wide association studies have identified FGFR2 as a breast cancer susceptibility gene. Common variation in other fibroblast growth factor (FGF) receptors might also modify risk. We tested this hypothesis by studying genotyped single-nucleotide polymorphisms (SNPs) and imputed SNPs in FGFR1, FGFR3, FGFR4 and FGFRL1 in the Breast Cancer Association Consortium. Methods: Data were combined from 49 studies, including 53 835 cases and 50 156 controls, of which 89 050 (46 450 cases and 42 600 controls) were of European ancestry, 12 893 (6269 cases and 6624 controls) of Asian and 2048 (1116 cases and 932 controls) of African ancestry. Associations with risk of breast cancer, overall and by disease sub-type, were assessed using unconditional logistic regression. Results: Little evidence of association with breast cancer risk was observed for SNPs in the FGF receptor genes. The strongest evidence in European women was for rs743682 in FGFR3; the estimated per-allele odds ratio was 1.05 (95% confidence interval 1.02-1.09, P=0.0020), which is substantially lower than that observed for SNPs in FGFR2. Conclusion: Our results suggest that common variants in the other FGF receptors are not associated with risk of breast cancer to the degree observed for FGFR2.
    Type of Publication: Journal article published
    PubMed ID: 24548884
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  • 5
    Keywords: APOPTOSIS ; GENES ; TUMORS ; ACTIVATION ; PROMOTER ; SUBTYPES ; susceptibility loci ; GENOME-WIDE ASSOCIATION ; CYCLIN D1 EXPRESSION ; FUNCTIONAL VARIANTS
    Abstract: Genome-wide association studies (GWASs) have revealed SNP rs889312 on 5q11.2 to be associated with breast cancer risk in women of European ancestry. In an attempt to identify the biologically relevant variants, we analyzed 909 genetic variants across 5q11.2 in 103,991 breast cancer individuals and control individuals from 52 studies in the Breast Cancer Association Consortium. Multiple logistic regression analyses identified three independent risk signals: the strongest associations were with 15 correlated variants (iCHAV1), where the minor allele of the best candidate, rs62355902, associated with significantly increased risks of both estrogen-receptor-positive (ER-: odds ratio [OR] = 1.24, 95% confidence interval [CI] = 1.21-1.27, p(trend) = 5.7 3 10(-44)) and estrogen-receptor-negative (ER-: OR = 1.10, 95% CI = 1.05-1.15, p(trend) = 3.0 x 10(-4)) tumors. After adjustment for rs62355902, we found evidence of association of a further 173 variants (iCHAV2) containing three subsets with a range of effects (the strongest was rs113317823 [p(cond) = 1.61 x 10(-5)]) and five variants composing iCHAV3 (lead rs11949391; ER-: OR = 0.90, 95% CI = 0.87-0.93, p(cond) = 1.4 x 10(-4)). Twenty-six percent of the prioritized candidate variants coincided with four putative regulatory elements that interact with the MAP3K1 promoter through chromatin looping and affect MAP3K1 promoter activity. Functional analysis indicated that the cancer risk alleles of four candidates (rs74345699 and rs62355900 [iCHAV1], rs16886397 [iCHAV2a], and rs17432750 [iCHAV3]) increased MAP3K1 transcriptional activity. Chromatin immunoprecipitation analysis revealed diminished GATA3 binding to the minor (cancer-protective) allele of rs17432750, indicating a mechanism for its action. We propose that the cancer risk alleles act to increase MAP3K1 expression in vivo and might promote breast cancer cell survival.
    Type of Publication: Journal article published
    PubMed ID: 25529635
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  • 6
    Abstract: Importance: The current staging system of gastric cancer is not adequate for defining a prognosis and predicting the patients most likely to benefit from chemotherapy. Objective: To construct a survival prediction model based on specific tumor and patient characteristics that enables individualized predictions of the net survival benefit of adjuvant chemotherapy for patients with stage II or stage III gastric cancer. Design, Setting, and Participants: In this multicenter retrospective analysis, a survival prediction model was constructed using data from a training cohort of 746 patients with stage II or stage III gastric cancer who satisfied the study's inclusion criteria and underwent surgery between January 1, 2004, and December 31, 2012, at Nanfang Hospital in Guangzhou, China. Patient and tumor characteristics were included as covariates, and their association with overall survival and disease-free survival with and without adjuvant chemotherapy was assessed. The model was internally validated for discrimination and calibration using bootstrap resampling. To externally validate the model, data were included from a validation cohort of 973 patients with stage II or stage III gastric cancer who met the inclusion criteria and underwent surgery at First Affiliated Hospital in Guangzhou, China, and at West China Hospital of Sichuan Hospital in Chendu, China, between January 1, 2000, and June 30, 2009. Data were analyzed from July 10, 2016, to September 1, 2016. Main Outcomes and Measures: Concordance index and decision curve analysis for each measure associated with postoperative overall survival and disease-free survival. Results: Of the 1719 patients analyzed, 1183 (68.8%) were men and 536 (31.2%) were women and the median (interquartile range) age was 57 (49-66) years. Age, location, differentiation, carcinoembryonic antigen, cancer antigen 19-9, depth of invasion, lymph node metastasis, and adjuvant chemotherapy were significantly associated with overall survival and disease-free survival, with P 〈 .05. The survival prediction model demonstrated good calibration and discrimination, with relatively high bootstrap-corrected concordance indexes in the training and validation cohorts. In the validation cohort, the concordance index for overall survival was 0.693 (95% CI, 0.671-0.715) and for disease-free survival was 0.704 (95% CI, 0.681-0.728). Two nomograms and a calculating tool were built on the basis of specific input variables to estimate an individual's net survival gain attributable to adjuvant chemotherapy. Conclusions and Relevance: The survival prediction model can be used to make individualized predictions of the expected survival benefit from the addition of adjuvant chemotherapy for patients with stage II or stage III gastric cancer.
    Type of Publication: Journal article published
    PubMed ID: 28538950
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  • 7
    Abstract: To determine whether p21-activated Kinase (PAK) 6 is a prognostic and predictive marker in gastric cancer (GC) and to construct a classifier that can identify a subset of patients who are highly sensitive to 5-fluorouracil/oxaliplatin chemotherapy. We retrospectively analyzed the expression levels of PAK6, cyclooxygenase 2, p21WAF1, Ki-67, excision repair cross-complementing gene 1, and thymidylate synthase in 242 paraffin-embedded GC specimens of the training cohort by immunohistochemistry. Then, we used support vector machine (SVM)-based methods to develop a predictive classifier for chemotherapy (chemotherapy score - CS-SVM classifier). Further validation was performed in an independent cohort of 279 patients. High PAK6 expression was associated with poor prognosis and increased chemoresistance to 5-FU/oxaliplatin chemotherapy. The CS-SVM classifier distinguished patients with stage II and III GC into low- and high-CS-SVM groups, with significant differences in the 5-year disease-free survival (DFS) and overall survival (OS) in chemotherapy patients. Moreover, chemotherapy significantly prolonged the DFS and OS of the high CS-SVM patients in the training and validation cohorts. In conclusion, PAK6 was an independent prognostic factor and increased chemoresistance. The CS-SVM classifier distinguished a subgroup of stage II and III patients who would highly benefit from chemotherapy, thus facilitating patient counseling and individualizing the management.
    Type of Publication: Journal article published
    PubMed ID: 28687498
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  • 8
    Keywords: brain ; PEPTIDE ; RECEPTOR ; CELLS ; EXPRESSION ; BLOOD ; CELL ; IN-VIVO ; INHIBITION ; MODEL ; NEW-YORK ; ACCUMULATION ; MICE ; BLOOD-FLOW ; blood flow ; FLOW ; ALZHEIMERS-DISEASE ; cytokines ; TARGET ; TRANSPORT ; MOUSE ; TRANSGENIC MICE ; STRESS ; transgenic ; PRODUCT ; RAGE ; CEREBRAL-BLOOD-FLOW ; CEREBROSPINAL-FLUID ; CLEARANCE ; DEMENTIA ; INTERACTS ; MOUSE MODEL ; PARENCHYMA ; PRECURSOR PROTEIN ; SQUIRREL-MONKEY ; TRANSGENIC MODEL ; VASCULATURE ; WALL
    Abstract: Amyloid-beta peptide (Abeta) interacts with the vasculature to influence Abeta levels in the brain and cerebral blood flow, providing a means of amplifying the Abeta-induced cellular stress underlying neuronal dysfunction and dementia. Systemic Abeta infusion and studies in genetically manipulated mice show that Abeta interaction with receptor for advanced glycation end products (RAGE)-bearing cells in the vessel wall results in transport of Abeta across the blood-brain barrier (BBB) and expression of proinflammatory cytokines and endothelin-1 (ET-1), the latter mediating Abeta-induced vasoconstriction. Inhibition of RAGE-ligand interaction suppresses accumulation of Abeta in brain parenchyma in a mouse transgenic model. These findings suggest that vascular RAGE is a target for inhibiting pathogenic consequences of Abeta-vascular interactions, including development of cerebral amyloidosis
    Type of Publication: Journal article published
    PubMed ID: 12808450
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  • 9
    Keywords: CANCER ; CELLS ; EXPRESSION ; proliferation ; SURVIVAL ; tumor ; BLOOD ; CELL ; CELL-PROLIFERATION ; IN-VIVO ; THERAPY ; VIVO ; SUPPORT ; DISEASE ; GENE ; GENES ; TUMORS ; LINES ; MICE ; CELL-LINES ; DOWN-REGULATION ; MOUSE ; LYMPHOMA ; DISRUPTION ; PROMOTER ; genetics ; CELL-LINE ; leukemia ; UNITED-STATES ; cell lines ; METHYLATION ; THERAPIES ; SOLID TUMORS ; regulation ; cell proliferation ; tumor suppressor gene ; USA ; CANCERS ; immunology ; PRECURSOR ; tumor suppressor genes ; virology ; tumor suppressor ; STATE ; Genetic
    Abstract: Aberrant methylation of tumor suppressor genes can lead to their silencing in many cancers. TSC-22 is a gene silenced in several solid tumors, but its function and the mechanism(s) responsible for its silencing are largely unknown. Here we demonstrate that the TSC-22 promoter is methylated in primary mouse T or natural killer (NK) large granular lymphocyte (LGL) leukemia and this is associated with down-regulation or silencing of TSC-22 expression. The TSC-22 deregulation was reversed in vivo by a 5-aza-2'-deoxycytidine therapy of T or NK LGL leukemia, which significantly increased survival of the mice bearing this disease. Ectopic expression of TSC-22 in mouse leukemia or lymphoma cell lines resulted in delayed in vivo tumor formation. Targeted disruption of TSC-22 in wild-type mice enhanced proliferation and in vivo repopulation efficiency of hematopoietic precursor cells (HPCs). Collectively, our data suggest that TSC-22 normally contributes to the regulation of HPC function and is a putative tumor suppressor gene that is hypermethylated and silenced in T or NK LGL leukemia
    Type of Publication: Journal article published
    PubMed ID: 19329776
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  • 10
    Keywords: GENE ; GENE-EXPRESSION ; RETINOIC ACID ; CELL CARCINOMA ; PARATHYROID-HORMONE ; HORMONE-RELATED PROTEIN ; CONFER SUSCEPTIBILITY ; COMMON VARIANTS ; DEVELOPMENTAL REGULATORY MOLECULE ; NEGATIVE-FEEDBACK ; ULNAR-MAMMARY SYNDROME
    Abstract: Breast cancer is the most common cancer among women. To date, 22 common breast cancer susceptibility loci have been identified accounting for similar to 8% of the heritability of the disease. We attempted to replicate 72 promising associations from two independent genome-wide association studies (GWAS) in similar to 70,000 cases and similar to 68,000 controls from 41 case-control studies and 9 breast cancer GWAS. We identified three new breast cancer risk loci at 12p11 (rs10771399; P = 2.7 x 10(-35)), 12q24 (rs1292011; P = 4.3 x 10(-19)) and 21q21 (rs2823093; P = 1.1 x 10(-12)). rs10771399 was associated with similar relative risks for both estrogen receptor (ER)-negative and ER-positive breast cancer, whereas the other two loci were associated only with ER-positive disease. Two of the loci lie in regions that contain strong plausible candidate genes: PTHLH (12p11) has a crucial role in mammary gland development and the establishment of bone metastasis in breast cancer, and NRIP1 (21q21) encodes an ER cofactor and has a role in the regulation of breast cancer cell growth
    Type of Publication: Journal article published
    PubMed ID: 22267197
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