Search

Long noncoding RNAs (lncRNAs) constitute a major class of the human transcriptome which play crucial roles in the key biological processes of both normal and malignant breast cells. Although the aberrant expression of lncRNAs has been well‐documented in breast cancer (BC), little is currently known about the association between their expression levels in the breast tissue of healthy women and BC risk factors, especially the reproductive or demographic characteristics that are among the most well‐known BC risk modifiers. This study was an attempt to investigate the correlation between the expression levels of 2 breast cancer‐related lncRNAs, including GAS5 and LSINCT5, and reproductive and demographic characteristics in 145 normal breast tissues that were obtained from women without breast cancer undergoing cosmetic surgery. Total RNA was extracted from fresh normal breast tissues, and the expression level of target lncRNAs was quantified using real‐time qPCR. Differences in the mean normalized gene expression among the subgroups of different variables were analyzed. The expression levels of both genes was lower in the overweight‐obese (BMI ≥ 25) subgroup than that in the normal BMI (BMI < 25) subgroup (GAS5 P = .019, LSINCT5 P = .036). Moreover, the expression level of GAS5 was negatively correlated with BMI (r: −.170, P:.041). The expression level of GAS5 was higher in women with late menarche (>13 years) than that with early menarche (≤13 years; P = .017). These findings may assist to obtain insights into the molecular mechanisms through which the reproductive or obesity‐related estrogen changes contribute to the breast carcinogenesis. In conclusion, this study presents the first evidence for the presence of a link between the lncRNA expression and the reproductive or obesity related factors in the breast tissue of healthy women. [ABSTRACT FROM AUTHOR]

Small supernumerary marker chromosomes (sSMCs), or markers, are abnormal chromosomal fragments that can be hereditary or de novo. Despite the importance of sSMCs diagnosis, de novo sSMCs are rarely detected during the prenatal diagnosis process. Usually, prenatally diagnosed de novo sSMCs cannot be correlated with a particular phenotype without knowing their chromosomal origin and content; therefore, molecular cytogenetic techniques are applied to achieve this goal. The present study aimed to characterize an sSMC in a case of Klinefelter syndrome using an in-house microsatellite analysis method and fluorescent in situ hybridization (FISH) technique. Amniotic fluid was collected from a pregnant woman who was considered to have risk factors for trisomy higher than the screening cut-off. Karyotype analysis was followed by the amplification of different microsatellite loci and FISH technique. Karyotype analysis identified a fetus with an extra X chromosome and also an sSMC with unknown identity. Further investigation of the parents showed that the sSMC is de novo. Microsatellite amplification by quantitative fluorescent PCR (QF-PCR) and FISH analysis showed that the sSMC is a derivative of chromosome 18. Eventually, the patient decided to terminate the pregnancy. Here, the first case of the coincidence of sSMC 18 in a Klinefelter fetus is reported. [ABSTRACT FROM AUTHOR]

Long none coding RNAs (lncRNAs) AOC4P, PRNCR1, and PCAT-1 are dysregulated in various types of malignancies. However, their expression and clinicopathological significances are uncertain in breast cancer (BC). Quantitative real-time polymerase chain reaction (RT- qPCR) was used to measure the expression levels of the selected lncRNAs in tumor tissues obtained from 50 BC patients compared to the normal adjacent tissues (NATs) and 50 clinically healthy normal tissues. Our results revealed a significant downregulation of AOC4P, however, upregulated PRNCR1 and PCAT1 were found in tumor tissues compared to NATs and clinically healthy normal tissues (P < 0.05). Interestingly, remarkable decreased expression of AOC4P was observed in NATs than clinically healthy normal tissues. Dysregulation of the lncRNAs was correlated with worse outcomes of patients. Furthermore, our data showed that the altered expression levels of lncRNAs AOC4P, PRNCR1, and PCAT1 might be occurred through the function of demographic and reproductive variables. Taken together, the altered regulation of AOC4P, PRNCR1, and PCAT1 may highlight their crucial roles in BC development and pathogenesis. Our findings also proposed demographic and reproductive variables as risk factors in BC through the possible influence on the expression of the studied lncRNAs. Nevertheless, further explorations are required to elucidate the more detailed functions of these lncRNAs in BC., (Copyright © 2020. Published by Elsevier GmbH.)