CrossRefPubMed 14 Sato A, Kobayashi G, Hayashi H, Yoshida H, Wad

CrossRefPubMed 14. Sato A, Kobayashi G, Hayashi H, Yoshida H, Wada A, Maeda M, Hiraga S, Takeyasu K, Wada C: The GTP binding protein Obg homolog ObgE is involved in ribosome maturation. Genes Cells 2005, 10:393–408.CrossRefPubMed 15. Uicker WC, Schaefer L, Koenigsknecht M, Britton RA: The essential GTPase YqeH is required for BAY 63-2521 in vivo proper ribosome assembly in Bacillus subtilis. J Bacteriol 2007, 189:2926–2929.CrossRefPubMed 16. Dassain M, Leroy A, Colosetti L, Carole S, Bouche JP: A new essential gene of the ‘minimal

genome’ affecting cell division. Biochimie 1999, 81:889–895.CrossRefPubMed 17. Pragai Z, Harwood CR: YsxC, a putative GTP-binding protein essential for growth of Bacillus subtilis 168. J Bacteriol 2000, 182:6819–6823.CrossRefPubMed 18. Ruzheinikov SN, Das SK, Sedelnikova SE, Baker PJ, Artymiuk PJ, Garcia-Lara J, Foster SJ, Rice DW: Analysis of the open and closed conformations of the GTP-binding protein YsxC from Bacillus subtilis. J Mol Biol 2004, 339:265–278.CrossRefPubMed 19. Blaha G, Stelzl U, Spahn CM, Agrawal RK, Frank J, Nierhaus KH: Preparation of functional ribosomal complexes and effect of buffer conditions on tRNA positions observed by cryoelectron microscopy. Methods Enzymol 2000, 317:292–309.CrossRefPubMed 20. Champney WS, Burdine R: Macrolide antibiotics inhibit 50 S ribosomal subunit assembly in Bacillus subtilis and Staphylococcus aureus. Antimicrob

Agents Chemother 1995, 39:2141–2144.PubMed 21. Jana https://www.selleckchem.com/products/ars-1620.html M, Luong TT, Komatsuzawa H, Shigeta M, Lee CY: A method for demonstrating gene essentiality in Staphylococcus aureus. Plasmid 2000, 44:100–104.CrossRefPubMed 22. Sobral RG, Ludovice AM, de Lencastre H, Tomasz A: Role of murF in cell wall biosynthesis: isolation and characterization of a murF conditional mutant of Staphylococcus

aureus. J Bacteriol 2006, 188:2543–2553.CrossRefPubMed 23. Zheng L, Yang J, Landwehr C, Fan F, Ji Y: Identification of an essential glycoprotease in Staphylococcus aureus. Acesulfame Potassium FEMS Microbiol Lett 2005, 245:279–285.CrossRefPubMed 24. Dubrac S, Msadek T: Identification of genes controlled by the essential YycG/YycF two-component system of Staphylococcus aureus. J Bacteriol 2004, 186:1175–1181.CrossRefPubMed 25. Forsyth RA, Haselbeck RJ, Ohlsen KL, Yamamoto RT, Xu H, Trawick JD, Wall D, Wang L, Brown-Driver V, Froelich JM, et al.: A Captisol in vivo genome-wide strategy for the identification of essential genes in Staphylococcus aureus. Mol Microbiol 2002, 43:1387–1400.CrossRefPubMed 26. Galperin MY, Koonin EV: ‘Conserved hypothetical’ proteins: prioritization of targets for experimental study. Nucleic Acids Res 2004, 32:5452–5463.CrossRefPubMed 27. Puig O, Caspary F, Rigaut G, Rutz B, Bouveret E, Bragado-Nilsson E, Wilm M, Seraphin B: The tandem affinity purification (TAP) method: a general procedure of protein complex purification. Methods 2001, 24:218–229.CrossRefPubMed 28. Butland G, Peregrin-Alvarez JM, Li J, Yang W, Yang X, Canadien V, Starostine A, Richards D, Beattie B, Krogan N, et al.

The 2004 World Health Organization (WHO) classification of RCC re

The 2004 World Health Organization (WHO) classification of RCC recognized selleck chemical several subtypes of RCC. Most common subtypes are: clear cell RCC (70%), papillary RCC (10-15%), chromophobe RCC (4-6%), collecting duct carcinoma (about 1%) and unclassified RCC (4-5%) [3, 4]. Chromophobe RCC (ChRCC) is diagnosed mainly in 6th decade of life. An incidence of ChRCC is similar in both men and woman [5]. 86% of ChRCCs are diagnosed in stage 1 or 2 [3]. Renal vein invasion is seen in about 5% of cases [5]. Incidence of metastatic disease in chromophobe renal cell carcinoma is 6-7% [6, 7]. In summary

of 28 cases based on 7 reports, most common metastatic sites were liver (39%) and lung (36%) [6]. Pathology Chromophobe RCC was first described in patients by Thoenes in 1985 [8]. Macroscopically, ChRCC is a solitary, circumscribed, and not capsulated mass with a homogeneous light brown cut surface. The median tumor size of ChRCC is 6.0 cm, and it is click here larger than that CYT387 price of other subtypes [7]. Microscopically, it contains of large, polygonal cells with prominent cell membrane [5]. Cytoplasm is pale and resistant to staining with hematoxylin and eosin. ChRCC cells have irregular nuclei with perinuclear clear halo. The tumor blood

vessels have thick walls and are eccentrically hyalinized [3]. Chromophobe RCC is a heterogeneous group including classic type, eosinophilic type and mixed type. Eosinophilic variant (containing greater than 80% eosinophilic cells) has areas similar to renal oncocytomas (nested, alveolar or sheetlike architecture with eosinophilic granularity, perinuclear clearing, peripheral accentuation of cytoplasm) and it is often bilateral (11%) and multifocal (22%). Classic type of chromophobe RCC

(containing greater than 80% pale cells) is associated with necrosis or sarcomatoid change. It has alveolar or Sitaxentan sheetlike architecture and cytoplasm with flocculent “”soap-bubble”" appearance. Chromophobe RCCs with mixed histology have variable architecture (containing admixture of pale and eosinophilic cells) [6]. Microscopic tumor necrosis and sarcomatoid change are known to be aggressive with a high potential for distant metastases [6]. One of the diagnostic criteria of ChRCC is Hale colloidal iron [5], another are intracytoplasmatic microvesicles between 250-400 nm in diameter [9] (Figure 1- Chromophobe renal cell carcinoma, HE, 200×; Figure 2 – Positive reaction showing the presence of colloidal iron in cytoplasm of ChRCC, 400×). Figure 1 Chromophobe renal cell carcinoma, HE, 200×. Figure 2 Positive reaction showing the presence of colloidal iron in cytoplasm of ChRCC, 400×. They can be demonstrated by electron microscopy, which is not used routinely in diagnosis of chromophobe RCC. The main diagnostic criteria of chromophobe RCC is morphology coupled with characteristic immunophenotype (diffuse CK7, and KIT positivity).

Approved standard, NCCLS document M2-A8 8 Edition NCCLS, Wayne, P

Approved standard, NCCLS document M2-A8 8 Edition NCCLS, Wayne, Pa 2003. 19. Ward LR, de Sa JD, Rowe B: A phage-typing scheme for Salmonella enteritidis. Epidemiol Infect 1987,99(2):291–294.CrossRefPubMed 20. Anderson ES, Ward LR, Saxe MJ, de Sa JD: Bacteriophage-typing designations of Salmonella typhimurium. J Hyg (Lond) 1977,78(2):297–300.CrossRef 21. Ribot EM, Fair MA, Doramapimod datasheet Gautom R, Cameron DN, Hunter SB, Swaminathan B, Barrett TJ: Standardization of pulsed-field gel electrophoresis

protocols for the subtyping of Escherichia coli O157:H7, Salmonella, and Shigella for PulseNet. Foodborne Pathog Dis 2006,3(1):59–67.CrossRefPubMed 22. Lindstedt BA, Vardund T, Aas L, Kapperud G: Multiple-locus variable-number tandem-repeats analysis of Salmonella enterica subsp. enterica serovar Typhimurium using PCR multiplexing and multicolor capillary electrophoresis. J

Microbiol Methods 2004,59(2):163–172.CrossRefPubMed Authors’ contributions ND and MC conceived of and TH-302 in vitro participated in Ilomastat research buy the design of the study. ND drafted the manuscript. ND, JOC, GMD and GD carried out the serotyping, AST, PFGE and VNTR. MC helped to draft the manuscript. All authors read and approved the final manuscript.”
“Background Salmonella enterica serovar Enteritidis (SE) is one of the leading etiologic agents of non-typhoid fever [1]. The disease usually manifests as a self-limiting enteritis, although systemic spread of the infections accompanied by mortalities occurs in young and immunocompromised human patients [2]. Epidemiological studies suggest that poultry flocks may serve as a major reservoir for SE organisms implicated in human clinical cases [3]. Salmonella enterica silently colonizes the intestinal and reproductive tracts of chickens, which can provide a mechanism for SE-contamination of chicken meat, shell-eggs, and hatchery eggs if proper 17-DMAG (Alvespimycin) HCl processing and handling are not observed [4]. Recent investigations have shown that SE utilizes its type three secretion systems (T3SS) encoded by Salmonella pathogenicity island-1 and -2 (SPI-1

and SPI-2), respectively, to promote intestinal and reproductive tract colonization [5–7]. The T3SS of Salmonellae functions as a needle-like apparatus that injects an array of effector proteins into host cells. The T3SS-1 effectors act in concert to modulate host cell cytoskeleton rearrangement, thereby facilitating bacterial entry into host epithelial cells [8]. The T3SS-2 effectors promote bacterial survival or replication within host phagocytes [9]. The T3SS effectors also shape the type of pathological changes associated with Salmonella infection via modulating host cytokine and chemokine expressions [10]. It has been commonly accepted that the outcomes of microbial infections, including salmonellosis, are largely determined by the type and magnitude of host systemic and local immune responses.

Debatteren over genetische screeningscriteria [Witness seminar D

Debatteren over genetische screeningscriteria [Witness seminar. Debating genetic screening criteria]. Prelum Uitgevers, Houten. Weinans MJ, Huijssoon AM, Tijmstra T, Gerrits MC, Beekhuis JR, Mantingh A (2000) How women deal with the results of serum screening for Down syndrome in the second trimester of pregnancy. Prenat Diagn 20:705–708PubMedCrossRef Wilson JMG, Jungner G (1968) Principles and practice of screening for disease. WHO, Geneva World Health

Organization (1981) Global Strategy for health for all by HDAC inhibitor the year 2000. WHO Geneva. http://​whqlibdoc.​who.​int/​publications/​9241800038.​pdf Footnotes 1 The publisher, Profil Verlag, Munchen/Wien, has given permission to reproduce parts of this book chapter.   2 The choice for this focus was inspired by the Genetics and Democracy series organised in Lund, Sweden, where part of this paper was presented on October 5, 2009.   3 Speaking of untreatable disorders in several cases Selleck HSP990 is or has become questionable, and it would be better to regard these disorders as treatable ‘to a lesser extent’. Recent advances in medication and care have made a significant contribution to boosting quality of life and life expectancy by tackling some aspects of the phenotype or co-morbidity.”
“Genetics and Democracy“

opens a series of special issues in the Journal of Community Genetics (JOCG), dedicated to topics of central interest in this field. JOCG special issues are created under the full editorial

responsibility of their guest editors. All contributions undergo the regular peer-review process and are made available on-line in the same way as contributions to regular issues, typically within about two weeks after acceptance. The Genetics and Democracy issue is based on a cycle of seminars, starting in 2007 at the University of Lund (Sweden), which resulted from a broad collaboration of researchers from the fields of Galeterone clinical genetics, political science, Selleck JQ-EZ-05 history, ethnology, sociology, and population genetics. Topics covered in this special issue include biobanking governance, genetic screening and its public oversight, transgenic and carcinogenic risk assessment of pharmaceuticals, the Internet and genetic testing, legal definitions of genetic testing, and genetic testing legislation. A subsequent special issue will review “Genetic Aspects of Preconception Consultation in Primary Care”, with Jon Emery (Australia), Anne L. Dunlop (USA) and Leo P. ten Kate (The Netherlands) acting as guest editors. It will cover: factors determining genetic risk, what can be offered to couples at (possibly) increased risk, taking a medical family history, consanguinity, preconception carrier screening, exposure to mutagens, psychosocial issues, ethical issues, and the future of genetic risk assessment. Two further upcoming special issues are currently being put together under the guest editorship of Irma Nippert (Germany).

Age and sex composition counts of wildlife Ogutu et al (2006), i

Age and sex composition counts of wildlife Ogutu et al. (2006), in collaboration with the World Wide Fund for Nature (WWF), carried out two further vehicle ground sample counts of impala, warthog, topi, hartebeest, zebra, and giraffe including their age and sex. These counts were conducted in the MMNR, Koyiaki and a small section of Siana ranch in November 2003 and April 2004. The November 2003 survey was also conducted during the dry season. In contrast, the April 2004 survey was conducted

in the late-wet season. They used a strip-transect sampling technique assuming complete census of all animals within a fixed strip width of 100 m either side of the transect centerline (Ogutu find more et al. 2006). The transects were distributed over the MMNR and pastoral ranches in proportion to their areas,

with 22 transects established in the reserve and 13 in Koyiaki. Each transect was 10 km long. After every 1 km along each transect, the vehicle was stopped and the numbers, age class BB-94 relative to adult size, sex and GPS locations of wildlife were recorded within 200 m on either side of the transect centerline. These species were classified, whenever possible, into three age classes: newborns (<1 month), juveniles (1–18 months), adults (>18 months). A combination of horn shape and length and body size were used to assign the herbivores to sex and age categories, Cyclic nucleotide phosphodiesterase however, ages were not assigned to adults (Sinclair VX-680 order 1995; Ogutu et al. 2008). Only the number of individuals sighted per age class in each transect, summed over all transects in the reserve and the ranches, from this dataset were used in analyses. Comparing wildlife and livestock densities between landscapes To account for clustering, non-normality and non-homogenous variances of animal counts, and varying frequency of counts we used negative binomial regression model

for overdispersed count data to compare the mean density for each herbivore species in each 5 × 5 km2 grid cell between the MMNR and Koyiaki pastoral ranch using the aod package in R (Lesnoff and Lancelot 2010; R Development Core Team 2010). More specifically, we used the log link function and specified the variance function for the negative binomial model as φu(1 + (u/k)), where u is the mean, φ is the overdispersion parameter and k is the ‘aggregation parameter’. Differences in the expected herbivore counts between landscapes were tested for significance using the Wald Chi-squared test (Draper and Smith 1998). A similar analysis was performed to compare the mean densities from the ground mapping censuses per 1 × 1 km2 grid cells between the MMNR and Koyiaki pastoral ranch (Reid et al. 2003).

Figure 3 Pattern type 3: complex nodulation, with undetectable co

Figure 3 Pattern type 3: complex nodulation, with undetectable contours, with fluid and macrocalcified areas. The lesion presents well defined borders. B) Histologic section at low power. The proliferation is surrounded by connectival stroma, and is edged by a basaloid epithelia with RAD001 tricholemmal and shadow cells, associated to a moderate inflammatory reaction (E-E1, 25x). Figure 4 Pattern type 4: A)Pseuso-cystic, Lesion borders and sizes are not well evaluable. Fluid nodule with feature similar to a thickened wall cyst, extending up to the derma. buy 7-Cl-O-Nec1 Figure 5 Pattern

type 5: Pseudo-neoplastic, solid nodulation, hypoechogenic, not homogeneous, with irregular anterior contours, with signal with Colour and Power-Doppler. Figure 6 Shadow cell and thricholemmal keratinization details, interspersed inflammatory cells (E-E 20×). Table 2 US findings of pilomatricomas Type US features No. of lesions Type 1 Fully calcified 10 Type 2 Partially calcified 12 Type 3 Complex lesion 6 Type 4 Pseudocystic lesion 2 Type 5 Pseudotumoural 2 Finally, 2 lesions, with pseudo-neoplastic DZNeP order features, were also studied with a second generation contrast medium (SonoVue, Bracco, Milan, Italy), injected via a bolus in the antecubital vein, and showed moderate enhancement of the lesion and the presence of rather irregular internal vessels. The most experienced radiologist (30 years of general ultrasound

and 11 of dermatological ultrasound), assessed a correct diagnosis in 11/15 cases (74%), misdiagnosed in 2/15 cases (13%) and provided a non conclusive response in the remaining

2/15 cases (13%). There were no significant differences (p = ns) among experienced and less experienced radiologists in diagnosing PM. Due to the small size of the lesions and to the need for immediate surgical treatment, none of our patients were studied by CT scan or MRI. Only 1 case of multiple PM (5 lesions in the same patient) Niclosamide was found, and the genetic examination excluded the coexistence of myotonic dystrophy. Discussion PM is an uncommon cutaneous tumour affecting young adults, especially women. It originates from the matrix cells of the hair follicle. Despite their benign behaviour, very malignant forms have been reported in literature. So far, most of the studies have revealed the difficulties encountered in diagnosing PM clinically. Imaging techniques such as X-ray, CT scan, MRI, and FNAB have failed to differentiate PM from other pathologies. Ultrasounds have only been of significant use in detecting bigger lesions, and most of the authors evaluated images obtained from low-frequency ultrasound (7.5-10 MHz). Since the probe resolution power is a direct proportional function of the frequency used, a very high frequency must be employed to characterize small lesions such as PM. In particular, the following data, provided from the Esaote Research Centre of Genoa, concerning the real experimental resolution power of their manufactured ultrasonographic probes: 7.

CrossRef 7 Eggins BR, Irvine JTS, Murphy EP, Grimshaw J: Formati

CrossRef 7. Eggins BR, Irvine JTS, Murphy EP, Grimshaw J: Formation of two-carbon acids from carbon dioxide by photoreduction on cadmium sulphide. J Chem Soc Chem Commun 1988, 16:1123–1124.CrossRef 8. Guan G, Kida T, Harada T, Isayama M, Yoshida A: Photoreduction of carbon dioxide with water over K 2 Ti 6 O 13 photocatalyst combined with Cu/ZnO catalyst under concentrated sunlight. Appl Catal, A 2003,249(1):11–18.CrossRef 9. Fujishima A, Zhang X, Tryk DA: TiO 2 photocatalysis and related surface phenomena. Surf Sci Rep 2008,63(12):515–582.CrossRef 10. Hashimoto K, Irie H, Fujishima A: TiO 2 photocatalysis: a historical MM-102 in vitro overview and

future prospects. Jpn J Appl Phys 2005, 44:8269–8285.CrossRef 11. Malato S, Fernández-Ibáñez P, Maldonado MI, Blanco J, Gernjak W: Decontamination and disinfection of water by solar

photocatalysis: recent overview and trends. Catal Today 2009,147(1):1–59.CrossRef 12. Ong W-J, Gui MM, Chai S-P, Mohamed AR: Direct growth of carbon nanotubes on Ni/TiO 2 as next generation catalysts for photoreduction of CO 2 to methane by water under visible light irradiation. RSC Adv 2013,3(14):4505–4509.CrossRef 13. Leary R, Westwood A: Carbonaceous nanomaterials for the enhancement of TiO 2 photocatalysis. Epacadostat supplier Carbon 2011,49(3):741–772.CrossRef 14. Tan L-L, Chai S-P, Mohamed AR: Synthesis and applications of graphene-based TiO 2 photocatalysts. ChemSusChem 2012,5(10):1868–1882.CrossRef Meloxicam 15. Xiang Q, Yu J, Jaroniec M: Graphene-based semiconductor photocatalysts. Chem Soc Rev 2012,41(2):782–796.CrossRef 16. Xiang Q, Yu J, Jaroniec M: Enhanced photocatalytic H 2 -production activity of graphene-modified titania nanosheets. Nanoscale 2011,3(9):3670–3678.CrossRef 17. Novoselov KS, Geim AK, Morozov SV, Jiang D, Katsnelson MI, Grigorieva IV, Dubonos SV, Firsov AA: Two-dimensional gas of massless Dirac fermions in graphene. Nature 2005,438(7065):197–200.CrossRef 18. Williams G, Seger B, Kamat PV: TiO 2 -graphene nanocomposites: UV-assisted photocatalytic reduction of graphene oxide. ACS Nano 2008,2(7):1487–1491.CrossRef

19. Zhang H, Lv X, Li Y, Wang Y, Li J: P25-graphene composite as a high performance photocatalyst. ACS Nano 2009,4(1):380–386.CrossRef 20. Shen J, Yan B, Shi M, Ma H, Li N, Ye M: One step hydrothermal synthesis of TiO 2 -reduced graphene oxide sheets. J Mater Chem 2011,21(10):3415–3421.CrossRef 21. Zhou K, Zhu Y, Yang X, Jiang X, Li C: Preparation of graphene-TiO 2 composites with enhanced photocatalytic activity. New J Chem 2011,35(2):353–359.CrossRef 22. Fan W, Lai Q, Zhang Q, Wang Y: Nanocomposites of TiO 2 and reduced graphene oxide as efficient Emricasan cell line photocatalysts for hydrogen evolution. J Phys Chem C 2011,115(21):10694–10701.CrossRef 23. Hummers WS, Offeman RE: Preparation of graphitic oxide. J Am Chem Soc 1958,80(6):1339–1339.CrossRef 24.

In order to characterize the film by microwave measurement, one o

In order to characterize the film by microwave measurement, one of the substrate surfaces was cleaned out with harsh oxygen plasma (200 W/20 sccm/3 min). In the

present communication, we investigate the electromagnetic properties of PyC produced at 75:20 CH4/H2 ratio, which corresponds to 25-nm thickness of films. this website Optical microscope image of the PyC film deposited on silica substrate is presented in Figure 1a. One can watch that the film is semitransparent. Scanning electron microscopy image of the film was obtained by scanning electron microscopy (SEM) LEO – 1455 Vand (Cambridge, UK). One can observe from Figure 1b that the PyC film shows a good homogeneity. In addition to a stylus profiler data, PyC thickness was controlled by atomic force microscope (AFM; Solver P47 PRO, NT-MDT, Moscow, Russia). The PyC film was scraped by a blade avoiding damage of the SiO2 substrate. The AFM image of the PyC film fabricated on quartz substrate (Figure 1c) shows a Doramapimod mw sharp step-like www.selleckchem.com/products/verubecestat.html edge allowing us to perform independent measurement of the film thickness. The lateral position of scratch in the PyC film and the height profile (i.e., PyC film thickness) are presented in Figure 1c,d. Figure 1 Optical microscope, SEM, and AFM images. (a) Optical microscope image of PyC thin film of

25-nm thickness deposited on silica substrate. (b) SEM image of the film surface area scraped by a blade. AFM image of the PyC film: (c) lateral position and (d) height profile

of the PyC film. Optical image of the PyC deposited film on the quartz substrate is presented in (a). Scanning electron microscopy was done by SEM LEO – 1455 Vand and shows good homogeneity of PyC film (b). PyC thickness ZD1839 research buy was controlled by AFM (Solver P47 PRO, NT-MDT). Corresponding AFM image of PyC film deposited on the substrate (the lateral position) is presented in (c). The height profile (the PyC film thickness) is presented in (d). Raman spectroscopy measurements reported elsewhere [8] revealed that morphologically thin PyC film produced at our experiment is composed of randomly intertwined graphite crystallites of the size less than 5 nm but also consisting small amounts of amorphous carbon and sp 2 sp 3 bonds [8]. MW characterization settings The microwave measurements were made using a scalar network analyzer R2-408R (ELMIKA, Vilnius, Lithuania), including sweep generator, waveguide reflectometer, and indicator unit (personal computer). The IEC 62431:2008(E) standard specifying the measurement method for the reflectivity of EM materials was used. The EM response the PyC fim as ratios of transmitted/input (S 21) and reflected/input (S 11) signals has been measured within 26- to 37-GHz frequency range (K a band). The frequency stability of the oscillator was controlled by frequency meter and was as high as 10−6. The power stabilization was provided on the level of 7.0 mW ± 10 μW. Measurement range of EM attenuation was from 0 to −40 dB.

Manual search of references cited in the published studies did no

Manual search of references cited in the published studies did not reveal any additional articles. As a result, a total of seven relevant studies met the inclusion criteria for the meta-analysis [11–15,

18, 19]. Among them, one of the eligible studies contained data on two different ethnic groups [12], and we treated it independently. Therefore, a total of eight separate comparisons including 2069 endometrial cancer cases and 4546 controls were finally included in our meta-analysis. The main characteristics of the studies are presented Tucidinostat in vivo in Table 1. Of all the eligible studies, six were conducted in Caucasian populations, and two were in Asians. Four studies were population–based and four were hospital–based studies. All studies used validated methods including PCR-RFLP, TaqMan assay to genotype the MDM2 SNP309 polymorphism. The endometrial cancer cases were Selonsertib Histologically or pathologically confirmed in five of the eligible studies. The genotype distribution of the controls in one study was not consistent with HWE [13]. Table 1 Characteristics of studies included in this meta-analysis First author (Year) Country Ethnicity Sample size (case/control) Genotyping

methods Matching criteria Source of control EC confirmation Quality scores HWE (P value) Walsh TEW-7197 molecular weight [11] America Caucasian 73/79 PCR-RFLP NA HB NA 5.5 0.650 Terry NHS [12] America Caucasian 394/948 PCR-RFLP Age, menopausal status PB PC 11 0.642 Terry WHS [12] America Caucasian 122/368 PCR-RFLP Age, menopausal status PB PC 11 0.180 Ashton 2009 [14] Australia Caucasian 191/291 TaqMan Assay Age, gender PB HC 9 0.493 Nunobiki [13] Japan

Asian 102/95 PCR-RFLP NA HB HC 5 0.018 Zajac [18] Poland Caucasian 152/100 PCR-RFLP NA HB HC 6.25 0.701 Knappskog [19] Norway Caucasian HAS1 910/2465 TaqMan Assay NA HB NA 8 0.406 Yoneda [15] Japan Asian 125/200 PCR-RFLP NA PB NA 9 0.910 EC, Endometrial cancer; HC, Histologically confirmed; PC, Pathologically confirmed; NA, Not available; PB, Population–based; HB, Hospital–based; HWE, Hardy–Weinberg equilibrium in control population; PCR–RFLP, Polymerase chain reaction-restriction fragment length polymorphism. Meta-analysis The results of the association between MDM2 SNP309 polymorphism and endometrial cancer risk were shown in Table 2. Overall, significant elevated endometrial cancer risk was found when all studies were pooled into the meta-analysis (GG vs. TT: OR = 1.464, 95% CI 1.246–1.721, P < 0.001, Figure 1; GG vs. TG + TT: OR = 1.726, 95% CI 1.251–2.380, P = 0.001; GG + TG vs. TT: OR = 1.169, 95% CI 1.048–1.304, P = 0.005). In subgroup analysis by ethnicity, significant increased endometrial cancer risk was found in Caucasians (GG vs. TT: OR = 1.602, 95% CI 1.208–2.125, P = 0.001; GG vs. TG + TT: OR = 1.748, 95% CI 1.161–2.632, P = 0.007; GG + TG vs. TT: OR = 1.173, 95% CI 1.047–1.315, P = 0.006) but not in Asians.

Mol Gen Genomics 1991, 231:124–138 CrossRef 34 Chen EJ, Sabio EA

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