The insulin-like growth factors (IGF) are important players in the development of gynecological malignancies, including epithelial ovarian cancer (EOC). The identification of biomarkers that can help in the diagnosis and scoring of EOC patients is of fundamental importance in clinical oncology. We have recently identified the ZYG11A gene as a new candidate target of IGF1 action. The aim of the present study was to evaluate the expression of ZYG11A in EOC patients and to correlate its pattern of expression with histological grade and pathological stage. Furthermore, and in view of previous analyses showing an interplay between ZYG11A, p53 and the IGF1 receptor (IGF1R), we assessed a potential coordinated expression of these proteins in EOC. In addition, zyg11a expression was assessed in ovaries and uteri of growth hormone receptor (GHR) knock-out mice. Tissue microarray analysis was conducted on 36 patients with EOC and expression of ZYG11A, IGF1R and p53 was assessed by immunohistochemistry. Expression levels were correlated with clinical parameters. qPCR was employed to assess zyg11a mRNA levels in mice tissues. Our analyses provide evidence of reduced ZYG11A expression in high grade tumors, consistent with a putative tumor suppressor role. In addition, an inverse correlation between ZYG11A and p53 levels in individual tumors was noticed. Taken together, our data justify further exploration of the role of ZYG11A as a novel biomarker in EOC.
Introduction: Personal protective equipment (PPE) reduces the risk of pathogens reaching the skin and clothing of health care personnel. We hypothesize that doffing PPE following verbal instructions by a supervisor is more effective in reducing contamination compared with doffing without verbal instructions. Our primary aim was to determine contamination rates with and without supervised doffing. The secondary aim was to determine the number and localization of contaminated body sites and PPE removal times in both groups. Methods: Staff members of Bnai Zion Medical Center participated in this single-center, randomized simulation study (NCT05008627). Using a crossover design, all participants donned and doffed the PPE twice, once under guidance from a trained supervisor and then independently without supervision (group A), or vice versa (group B). Participants were randomized to either group A or B using a computer-generated random allocation sequence. The PPE was "contaminated" with Glo Germ on the thorax, shoulders, arms, hands, legs, and face shield. After doffing the PPE, the participant was examined under ultraviolet light to detect traces of contamination. The following variables were collected: contamination rates, the number and localization of contaminated body sites, and PPE doffing time. Results: Forty-nine staff members were included. In group A, the contamination rate was significantly lower (8% vs. 47%; χ 2 = 17.19; p < 0.001). The sites most frequently contaminated were the neck and hands. Mean PPE doffing time under verbal instructions was significantly longer [mean (SD): 183.98 (3.63) vs. 68.43 (12.75) seconds, P < 0.001] compared with unsupervised doffing. Conclusions: In a simulated setting, PPE doffing following step-by-step verbal instructions from a trained supervisor reduces the rate of contamination but prolongs doffing time. These findings could have important implications for clinical practice and could further protect health care workers against contamination from emerging and high-consequence pathogens.
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