Danbo Wang

The association between ambient PM2.5's constituents exposure and cervical cancer survival

Increasing evidence links exposure to ambient particulate matter with a diameter less than 2.5 μm (PM

The role of human papillomavirus genotyping for detecting high-grade intraepithelial neoplasia or cancer in HPV-positive women with normal cytology: a study from a hospital in northeastern China

Abstract Background Human papillomavirus (HPV) testing is more sensitive than cytology for detecting cervical cancer and its precursors. This study aimed to analyze the prevalence of high-risk HPV genotypes and evaluate the role of HPV genotyping triage for detecting high-grade squamous intraepithelial lesions, adenocarcinoma in situ and cervical cancer (HSIL+) in HPV-positive women with normal cytology. Methods A retrospective study was performed in women who had undergone co-screening at the China Medical University-affiliated Shengjing Hospital between 2012 and 2014. Results Of the 34,587 women, 2665 HPV-positive women with normal cytology who had received colposcopy were eligible for analysis. In HSIL+ groups of 204 women, the common genotypes were HPV16, HPV52, HPV58, HPV33, HPV31 and HPV18 in order of prevalence. The proportion of histological HSIL+ in women infected with HPV33 or HPV31 was not significantly different compared to women infected with HPV16 ( P  = 0.30, P  = 0.19, respectively). The odds ratios for histological HSIL+ were 3.26 (95% confidence interval [CI]: 2.41–4.40) in women with HPV16/18, 4.21 (95% CI: 2.99–5.93) in those with HPV16/18/31/33, and 5.73 (95% CI: 3.30–9.97) in those with HPV16/18/31/33/52/58. Including HPV31/33 genotyping together with HPV16/18 significantly increased the proportion of HSIL+ detection from 63.2 to 77.5% ( P  = 0.002) without significantly increasing the colposcopy per HSIL+ detection ratio (7.7 to 8.1, P  = 0.66). Conclusions HPV genotyping played an important role in managing HPV-positive women with normal cytology. Genotyping for HPV31/33 should be added to the previously recommended HPV16/18 genotyping in triaging HPV-positive women in northeastern China.

A Bayesian network predicting survival of cervical cancer patients—Based on surveillance, epidemiology, and end results

AbstractThis study aimed to build a comprehensive model for predicting the overall survival (OS) of cervical cancer patients who received standard treatments and to build a series of new stages based on the International Federation of Gynecologists and Obstetricians (FIGO) stages for better such predictions. We collected the cervical cancer patients diagnosed since the year 2000 from the Surveillance, Epidemiology, and End Results (SEER) database. Cervical cancer patients who received radiotherapy or surgery were included. Log‐rank tests and Cox regression were used to identify potential factors of OS. Bayesian networks (BNs) were built to predict 3‐ and 5‐year survival. We also grouped the patients into new stages by clustering their 5‐year survival probabilities based on FIGO stage, age, and tumor differentiation. Cox regression suggested black ethnicity, adenocarcinoma, and single status as risks for poorer prognosis, in addition to age and stage. A total of 43,749 and 39,333 cases were finally eligible for the 3‐ and 5‐year BNs, respectively, with 11 variables included. Cluster analysis and Kaplan‐Meier curves indicated that it was best to divide the patients into nine modified stages. The BNs had excellent performance, with area under the curve and maximum accuracy of 0.855 and 0.804 for 3‐year survival, and 0.851 and 0.787 for 5‐year survival, respectively. Thus, BNs are excellent candidates for predicting cervical cancer survival. It is necessary to consider age and tumor differentiation when estimating the prognosis of cervical cancer using FIGO stages.

Efficacy and Safety of the Anti–PD-L1 mAb Socazolimab for Recurrent or Metastatic Cervical Cancer: a Phase I Dose-Escalation and Expansion Study

Abstract Purpose: This study (ClinicalTrials.gov identifier, NCT03676959) is an open, phase I dose-escalation and expansion study investigating the safety and efficacy of the recombinant, fully human anti–programmed death ligand 1 (PD-L1) mAb socazolimab in patients diagnosed with recurrent or metastatic cervical cancer. Patients and Methods: Patients received socazolimab every 2 weeks until disease progression. The study was divided into a dose-escalation phase and a dose-expansion phase. Safety and tolerability were primary endpoints of the dose-escalation phase. The primary endpoints of the dose-expansion phase were safety and the objective response rate (ORR) of the 5 mg/kg dose. Efficacy was assessed by the third-party independent review committee (IRC) using the Response Evaluation Criteria in Solid Tumors version 1.1 (RECIST 1.1). Results: 104 patients were successfully enrolled into the study. Twelve patients were included in the dose-escalation phase, with one complete response and two partial responses in the 5 mg/kg treatment group. Ninety-two patients (5 mg/kg) were enrolled in the dose-expansion phase. Fifty-four patients (59.3%) had baseline PD-L1–positive tumor expression (combined positive score ≥1). ORR was 15.4% [95% confidence interval (CI), 8.7%–24.5%]. Median PFS was 4.44 months (95% CI, 2.37–5.75 months), and the median OS was 14.72 months (95% CI, 9.59–NE months). ORR of PD-L1–positive patients was 16.7%, and the ORR of PD-L1–negative patients was 17.9%. No treatment-related deaths occurred. Conclusions: Our study demonstrates that socazolimab has durable safety and efficacy for the treatment of recurrent or metastatic cervical cancer and exhibits a safety profile similar to other anti–PD-1/PD-L1 mAbs.

CD48 suppresses proliferation and migration as an immune-related prognostic signature in the cervical cancer immune microenvironment

Abstract Cervical cancer (CC) is one of the most common malignant tumors in gynecology. Immunotherapy and targeted therapy are two particularly effective treatments. In this study, weighted gene co-expression network analysis and CIBERSORT algorithm that quantifies the composition of immune cells were used to analyze CC expression data based on the GEO database and identify modules related to T cells. Five candidate hub genes were identified by tumor-infiltrating immune cells estimation and Kaplan–Meier survival analysis according to CC data from The Cancer Genome Atlas (TCGA). Chemotherapeutic response, methylation, and gene mutation analyses were implemented so that the five candidate hub genes identified may be the potential biomarkers and therapeutic targets which were related to T cell infiltration. Moreover, the results of RT-qPCR revealed that CD48 was a tumor suppressor gene, which was negatively correlated with CC stages, lymph node metastasis, and differentiation. Furthermore, the functional study verified that the interference of CD48 was able to boost the proliferation and migration ability in vitro and the growth of transplanted tumors in vivo. Overall, we identified molecular targets related to immune infiltration and prognosis, regarded CD48 as a key molecule involved in the progression of CC, thus providing new insights into the development of molecular therapy and immunotherapeutics against CC.

New insights into molecular mechanisms underlying malignant transformation of endometriosis: BANCR promotes miR-612/CPNE3 pathway activity

Does LncRNA BANCR promote the malignant transformation of endometriosis by activating the miR-612/CPNE3 pathway? The expression patterns of BANCR, miR-612 and CPNE3 in normal endometrium, eutopic endometrium from endometriosis, eutopic endometrium or malignant tissues from endometriosis-associated ovarian cancer. On the basis of primary normal endometrial stromal cells (NESC) and eutopic endometrial stromal cells (EESC), the regulatory relationships between BANCR, miR-612 and CPNE3, and the potential mechanisms that promote the malignant transformation of endometriosis, were elucidated in vitro and in vivo. The expression levels of BANCR and CPNE3 were lowest in normal endometrium, significantly increased in eutopic endometrium (P < 0.05) and was significantly increased in eutopic endometrium (P < 0.05). During the malignant transformation of endometriosis, the expression levels of BANCR and CPNE3 were significantly upregulated (P < 0.05), whereas those of miR-612 were significantly downregulated (P < 0.05). miRNA-612 was found to target BANCR and CPNE3. The overexpression and knockdown of BANCR in NESC and EESC upregulated and downregulated the expression of CPNE3 and promoted or prevented cell proliferation and migration, respectively; these effects were reversed by miR-612 mimics and inhibitor. These changes were all statistically significant (P < 0.05). In-vivo experiments revealed that BANCR significantly increased the survival of subcutaneous endometrial cells by regulating miR-612/CPNE3 (P < 0.05). The expression of BANCR gradually increased with the progression of endometriosis during malignant transformation, and promoted the proliferation and migration of endometrial cells via the miR-612/CPNE3 pathway. BANCR may represent a novel target for monitoring the malignant transformation of endometriosis.

A Clinical Study of PD-L1 Antibody ZKAB001（Drug Code） in Recurrent or Metastatic Cervical Cancer

This is a Phase 1, open-label, dose-escalation, and multidose study, aiming to investigate the safety, tolerability and pharmacokinetics(PK) of ZKAB001 (a fully human monoclonal antibody targeting the Programmed Death - Ligand 1 (PD-L1) membrane receptor on T lymphocytes and other cells of the immune system) administered every 14 days in subjects with recurrent or metastatic cervical cancer.