MUC2 polymorphisms are associated with endometriosis development and infertility: a case-control study

<p>Abstract</p> <p>Background</p> <p>Mucins are highly glycosylated proteins protecting and lubricating epithelial surface of respiratory, gastrointestinal and reproductive tracts. Members of the mucin protein family have been suggested to play an important role in development of endometriosis and infertility. This study investigates genetic association of mucin2 (<it>MUC2</it>) with the risk of endometriosis and endometriosis-related infertility.</p> <p>Methods</p> <p>This case-control study was conducted at China Medical University Hospital, with 195 endometriosis patients and 196 healthy controls enrolled. Genotyping of six SNPs (rs2856111, rs11245936, rs10794288, rs10902088, rs7103978 and rs11245954) within <it>MUC2 </it>gene were performed by using <it>Taqman </it>genotyping assay; individual SNP and haplotype associations with endometriosis and endometriosis-related infertility were assessed by <it>χ</it>²test.</p> <p>Results</p> <p>Endometriosis patients exhibit significantly lower frequency of the rs10794288 C allele, the rs10902088 T allele and the rs7103978 G allele (<it>P </it>= 0.030, 0.013 and 0.040, respectively). In addition, the rs10794288 C allele and the rs10902088 T allele were also less abundant in patients with infertility versus fertile ones (<it>P </it>= 0.015 and 0.024, respectively). Haplotype analysis of the endometriosis associated SNPs in <it>MUC2 </it>also showed significantly association between the most common haplotypes and endometriosis or endometriosis-related infertility.</p> <p>Conclusions</p> <p><it>MUC2 </it>polymorphisms, especially rs10794288 and rs10902088, are associated with endometriosis as well as endometriosis-related infertility. Our data present MUC2 as a new candidate involved in development of endometriosis and related infertility in Taiwanese Han women.</p

Digitization and production of tactual maps and graphics

No abstract availabl

Proteomics in obstetrics and gynecology

Proteomics helps to understand the basic biological processes critical to normal cellular functions as well as the development of diseases. It identifies the essential components of these processes and exploits these components as targets in the development of new methods to prevent or treat diseases. Proteomics, although in an infancy stage in India, has the potential to complement and further enlarge the wealth of information in medicine, especially in the field of cancer. This article reviews the recent progress in proteomic techniques and their applications in the field of obstetrics and gynecology

Breast Tissue Composition and Immunophenotype and Its Relationship with Mammographic Density in Women at High Risk of Breast Cancer

<div><p>Aim</p><p>To investigate the cellular and immunophenotypic basis of mammographic density in women at high risk of breast cancer.</p><p>Methods</p><p>Mammograms and targeted breast biopsies were accrued from 24 women at high risk of breast cancer. Mammographic density was classified into Wolfe categories and ranked by increasing density. The histological composition and immunophenotypic profile were quantified from digitized haematoxylin and eosin-stained and immunohistochemically-stained (ERα, ERβ, PgR, HER2, Ki-67, and CD31) slides and correlated to mammographic density.</p><p>Results</p><p>Increasing mammographic density was significantly correlated with increased fibrous stroma proportion (rs (22) = 0.5226, p = 0.0088) and significantly inversely associated with adipose tissue proportion (rs (22) = -0.5409, p = 0.0064). Contrary to previous reports, stromal expression of ERα was common (19/20 cases, 95%). There was significantly higher stromal PgR expression in mammographically-dense breasts (p=0.026).</p><p>Conclusions</p><p>The proportion of stroma and fat underlies mammographic density in women at high risk of breast cancer. Increased expression of PgR in the stroma of mammographically dense breasts and frequent and unexpected presence of stromal ERα expression raises the possibility that hormone receptor expression in breast stroma may have a role in mediating the effects of exogenous hormonal therapy on mammographic density.</p></div

Proportion of fibrous stroma, fat, epithelium, and vascular area by mammographic density rank.

<p>Proportion of fibrous stroma, fat, epithelium, and vascular area by mammographic density rank.</p

Stromal and epithelial immunophenotype and mammographic density by Wolfe categories.

<p>*indicates statistically significant difference, ns = not statistically significant.</p

Quantification of proportion of fibrous stroma, fat, and epithelium in breast biopsies.

<p>a) H&E-stained section; b) marked-up image of panel a showing strongly staining pixels in red, largely corresponding to epithelium, moderately and weakly staining pixels in orange and yellow respectively, largely corresponding to fibrous stroma, and non-stained pixels in blue, largely corresponding to fat.</p