Xin Liu

Interaction between the level of human papillomavirus integration and human papillomavirus type on the risk of grade 3 cervical intraepithelial neoplasia or more severe in human papillomavirus integration positive women: A cross‐sectional study

Abstract Background The human papillomavirus (HPV) integration test is a novel cervical cancer screening technique. This study aimed to explore the effect of HPV integration level on the risk of grade 3 cervical intraepithelial neoplasia (CIN) or more severe CIN (3+) in HPV integration‐positive women, as well as the interaction between HPV type and HPV integration level on CIN3+. Method The HPV integration test was conducted using high‐throughput viral integration detection. The number of HPV integration reads (NHIR) is used to represent the level of HPV integration. Multivariable logistic regression models were used to examine the independent and interaction of the NHIR and the HPV type on CIN3+. Results A total of 1053 HPV integration‐positive women enrolled in this study. The percentage of CIN3+ in participants was 32.7%. The risk of CIN3+ increased by 0.9% (odds ratio [OR]: 1.009, 95% confidence interval [CI]: 1.006–1.012) per 10 increases in the NHIR. The risk of CIN3+ in the HPV16/18 group was higher than in the other 12 high‐risk HPV group (OR: 2.875, 95% CI: 2.034–4.064). However, with the elevated NHIR, the risk gap between the two groups gradually narrowed until it disappeared. There is multiplicative ( P  = 0.031) and additive interaction between the NHIR and the HPV type on CIN3+. Conclusion There was an interaction between HPV type and NHIR on CIN3+. HPV integration can further assess a patient's risk based on HPV genotyping detection, which is conducive to reducing missed diagnoses. The NHIR might be a potential biomarker for early warning and precise identification of high‐risk CIN lesions.

Risk of contralateral ovarian cancer in patients undergoing conservative surgery for ovarian cancer

Among patients with ovarian cancer (OC), the risk of contralateral OC remains controversial and few studies have focused on the occurrence of contralateral OC after conservative surgery. Basing on the Surveillance, Epidemiology, and End Results (SEER) database registered between 2000 and 2018, Logistic and Cox regressions were established to test the risk factors of contralateral OC. Kaplan-Meier mothed was used to calculate the cumulative risk curve for contralateral OC and compared using log-rank test. Furthermore, the frequency of contralateral OC and standardized incidence ratios (SIRs) were evaluated. 18807 patients were included, 69 patients developed contralateral OC. Logistic and Cox regressions showed patients diagnosed >50 years had lower risk of contralateral OC (Odds ratio [OR]:0.42, 95% confidence interval [CI]: 0.24-0.73; Hazard ratios [HR]:0.44, 95%CI:0.24-0.77). Patients with radical surgery had lower contralateral OC risk (OR:0.20, 95%CI: 0.11-0.36; HR: 0.17, 95%CI: 0.09-0.30). The SIR for contralateral OC was high in all patients (SIR: 2.37, 95%CI: 1.85-3.00) and highest if patients diagnosed <50 years with conservative surgery (SIR: 27.33, 95%CI: 19.86-36.69). However, the SIR for contralateral OC was low in patients diagnosed ≥50 years with radical surgery (SIR: 0.54, 95%CI: 0.26-1.00). No statistically significant SIRs were observed in patients diagnosed ≥50 years with conservative surgery and patients diagnosed <50 years with radical surgery. Our study provided some information for clinicians to assess the risk of contralateral OC and suggested young patients should not undergo hysterectomy to prevent contralateral OC. Moreover, clinical surveillance cannot be relaxed.

Value of Assessment of Different Neoplasias in the Adnexa in the Differential Diagnosis of Malignant Ovarian Tumor and Benign Ovarian Tumor: A Meta-analysis

To evaluate the accuracy of the assessment of different neoplasias in the adnexa (ADNEX) model in the differential diagnosis of malignant and benign ovarian tumors, the optimal cutoff value and the accuracy in diagnosing ovarian tumors at different stages, PubMed, Web of Science and Cochrane Library databases were retrieved to search literature with per-patient analysis until publication of the last study in November 2021. STATA 14.1, Meta-Disc 1.4 and Revman software 5.3 were used in the performance of meta-analysis. To explore sources of heterogeneity, a subgroup analysis was conducted for the ADNEX model. The pooled sensitivity, specificity, diagnostic odds ratio, positive likelihood, negative likelihood ratio and area under the summary receiver operating characteristic curve were 0.91 (95% confidence interval [CI]: 0.89-0.93), 0.84 (95% CI: 0.80-0.88), 55.55 (95% CI: 40.47-76.26), 5.71 (95% CI: 4.49-7.26), 0.10 (95% CI: 0.08-0.13) and 0.94 (95% CI: 0.92-0.96) in differentiating benign and malignant ovarian tumors, respectively. The area under the curve in identifying benign, borderline, stage I and stages II-IV were 0.93, 0.73, 0.27 and 0.92. The ADNEX model had high diagnostic performance was influential in the diagnosis of benign and stage II-IV ovarian tumors.

LncRNA STARD7-AS1 suppresses cervical cancer cell proliferation while promoting autophagy by regulating miR-31-5p/TXNIP axis to inactivate the mTOR signaling

Cervical cancer (CC) is a serious gynecologic health issue for women worldwide. Long non-coding RNA (lncRNA) has been well-documented in controlling malignant behavior of various cancer cells. The role of lncRNA STARD7-AS1 in regulating CC cell proliferation and autophagy and its possible mechanism were investigated in this work. RNA expression and protein levels were quantified by reverse transcription quantitative polymerase chain reaction and western blotting. The location of STARD7-AS1 in CC cells was examined using subcellular fraction assays. Cell Counting Kit-8 assays and colony forming assays were performed to measure CC cell viability and proliferation. Autophagy in CC cells was evaluated using macrophage-derived chemokine (MDC) staining and transmission electron microscopy. The binding between microRNA (miR)-31-5p and STARD7-AS1 (or thioredoxin-interacting protein [TXNIP]) was determined by performing luciferase reporter, RNA pull-down or RNA immunoprecipitation assays. STARD7-AS1 overexpression significantly suppressed CC cell viability and proliferation while notably inducing autophagy. STARD7-AS1 upregulated TXNIP expression via interaction with miR-31-5p. In addition, the effects of STARD7-AS1 on CC cell proliferation and autophagy were reversed by TXNIP silencing. The suppressive effect of STARD7-AS1 overexpression on phosphorylated levels of mTOR and S6K1 was countervailed by TXNIP deficiency. In conclusion, lncRNA STARD7-AS1 inhibits CC cell proliferation and promotes cell autophagy by targeting the miR-31-5p/TXNIP axis to inactivate the mTOR signaling.