The provision of e-government service has proposed a user-oriented approach. The user demand has been placed at the center of electronic public services. Nonetheless, the demand side research has not received adequate attention in the e-government literature. This paper proposes a framework for perception of citizen demand which posits that, given a lack of first-hand information on user responses, government tend to adopt an approach integrating using process and satisfaction to find citizen demand. This analysis may give a certain degree of reference to the e-government service development.
Monocytic leukemia zinc-finger protein (MOZ) has been found to form fusion proteins with many regulators in acute myeloid leukemia (AML). However, the molecular functions and underlying mechanism of MOZ in AML is not well understood. Here, clinical MOZ expression analysis combined with data integration from the TCGA and GEO databases indicated that a low level of MOZ was associated with poor prognosis. MOZ knockdown inhibited monocyte differentiation and increased resistance to chemotherapeutic drug-induced apoptosis in THP-1 or U937 cells. In addition, we found that genetic silencing of MOZ suppressed AP-1 and AKT activity in the context of lipopolysaccharide stimulation, resulting in diminished M1 activation of macrophages. We further showed that MOZ was a validated target of miR-223 and functioned as a repressor of miR-223 expression. Our study indicates that a molecular network involving MOZ and miR-223 contributes to the monocyte differentiation and polarization program, which is deregulated in AML.
Ovarian cancer is one of the most common gynecologic cancers that has the highest mortality rate. Endometrioid ovarian cancer, a distinct subtype of epithelial ovarian cancer, is associated with endometriosis and Lynch syndrome, and is often accompanied by synchronous endometrial carcinoma. In recent years, dysbiosis of the microbiota within the female reproductive tract has been suggested to be involved in the pathogenesis of endometrial cancer and ovarian cancer, with some specific pathogens exhibiting oncogenic having been found to contribute to cancer development. It has been shown that dysregulation of the microenvironment and accumulation of mutations are stimulatory factors in the progression of endometrioid ovarian carcinoma. This would be a potential therapeutic target in the future. Simultaneously, multiple studies have demonstrated the role of four molecular subtypes of endometrioid ovarian cancer, which are of particular importance in the prediction of prognosis. This literature review aims to compile the potential mechanisms of endometrioid ovarian cancer, molecular characteristics, and molecular pathological types that could potentially play a role in the prediction of prognosis, and the novel therapeutic strategies, providing some guidance for the stratified management of ovarian cancer.
e17525 Background: Histopathological information obtained from surgical specimen is important to identify patients at increased risk for disease relapse and mortality. Lymph node metastasis (LNM) carries the highest impact on decreased survival in suspected early-stage cervical cancer. To further identify risk factors for LNM and prognosis in early stage cervical cancer patients is definitely necessary owing to the findings from different centers are inconsistent. Methods: A total 1495 cervical cancer patients were diagnosed with stage IA2-IIA cervical cancer according to clinical stage and underwent radical hysterectomy between April 2009 and December 2020. The stage of all the patients were reclassified after surgery according to FIGO 2018. We analyzed their clinicopathologic data to identify the risk factors for LNM. Among all the patients, the progression-free survival (PFS) and overall survival (OS) of 1109 patients between 2015 and 2020 were collected and analyzed. Results: The incidence of LNM is 18.8% in all 1495 patients, which increases with depth of cervical stromal invasion, tumor size, lymphovascular space involvement (LVSI) and vaginal wall invasion in univariate analysis. Multivariable analysis shows only stromal invasion (OR, 3.0; 95% CI, 1.7–5.3; P < 0.001) and LVSI (OR, 4.9; 95% CI, 3.6-6.7; P<0.001) are to be independent risk factors for LNM. In addition, the clinical parameters age is a protective factor against LNM in both univariate and multivariable analysis(P<0.001). Among the 1109 patients, the median follow-up time is 49.7 months. Multivariate analyses using the Cox proportional hazards model show that LNM (HR, 8.5; 95% CI, 3.0-23.9; P<0.001), stromal invasion (HR, 3.4; 95% CI, 2.2-5.4;P<0.001) and special histologic type (HR, 3.2; 95% CI, 1.4-7.6; P=0.006) are independent prognostic factors for OS as well as PFS in early stage cervical cancer. Conclusions: The pattern of cervical stromal invasion and presence LVSI, but not the primary tumor size, predict risk of nodal metastasis. Cervical stromal invasion, LNM and special histologic type (non-squamous cell carcinoma; non-Adenocarcinoma) are independent prognostic factors for OS as well as PFS in early stage cervical cancer. [Table: see text]
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