The Role of ZNF275/AKT Pathway in Carcinogenesis and Cisplatin Chemosensitivity of Cervical Cancer Using Patient-Derived Xenograft Models.

Zinc finger protein 275 (ZNF275) is a C2H2-type transcription factor that is localized on chromosome Xq28. Whether ZNF275 participates in modulating the biological behaviors of cervical cancer has not been determined to our knowledge. The present study employed CCK-8, BrdU, flow cytometry, and a transwell assay to investigate the cell viability, proliferation, apoptosis, migration, and invasion of cervical cancer cells. The application of Western blotting and immunohistochemistry (IHC) aims to assess ZNF275 protein expression and identify the signaling pathway relevant to ZNF275-mediated effects on cervical cancer. The therapeutic impact of the combined therapy of the AKT inhibitor triciribine and cisplatin was evaluated on cervical cancer patient-derived xenograft (PDX) models expressing high ZNF275. The current research illustrated that cervical cancer tissue exhibited a higher expression of ZNF275 in contrast to the surrounding normal cervical tissue. The downregulation of ZNF275 suppressed cell viability, migration, and invasion, and facilitated the apoptosis of SiHa and HeLa cells via weakening AKT/Bcl-2 signaling pathway. Moreover, triciribine synergized with cisplatin to reduce cell proliferation, migration, and invasion, and enhanced the apoptosis of SiHa cells expressing high ZNF275. In addition, the combination treatment of triciribine and cisplatin was more effective in inducing tumor regression than single agents in cervical cancer PDX models expressing high ZNF275. Collectively, the current findings demonstrated that ZNF275 serves as a sufficiently predictive indicator of the therapeutic effectiveness of the combined treatment of triciribine and cisplatin on cervical cancer. Combining triciribine with cisplatin greatly broadens the therapeutic options for cervical cancer expressing high ZNF275, but further research is needed to confirm these results.

Establishment and genetically characterization of patient-derived xenograft models of cervical cancer.

PURPOSE: Patient-derived xenograft (PDX) models were established to reproduce the clinical situation of original cancers and have increasingly been applied to preclinical cancer research. Our study was designed to establish and genetically characterize cervical cancer PDX models. METHODS: A total of 91 fresh fragments obtained from 22 surgically resected cervical cancer tissues were subcutaneously engrafted into female NOD-SCID mice. Hematoxylin and eosin (H&E) staining was performed to assess whether the established PDX models conserved the histological features of original patient cervical cancer tissues. Moreover, a Venn diagram was applied to display the overlap of all mutations detected in whole-genome sequencing (WGS) data from patient original cervical cancer (F0) and F2-, F3-PDX models. The whole exome sequencing (WES) and the "maftools" package were applied to determine the somatic mutations among primary cervical cancers and the established PDX models. RESULTS: Our study successfully developed a panel of cervical cancer PDX models and the latency time of cervical cancer PDX model establishment was variable with a progressive decrease as the passage number increased, with a mean time to initial growth of 94.71 days in F1 engraftment to 40.65 days in F3 engraftment. Moreover, the cervical cancer PDX models preserved the histological features of their original cervical cancer. WGS revealed that the genome of original cervical cancer was preserved with high fidelity in cervical cancer PDX models throughout the xenografting and passaging process. Furthermore, WES demonstrated that the cervical cancer PDX models maintained the majority somatic mutations of original cervical cancer, of which the KMT2D, LRP1B, NAV3, TP53, FAT1, MKI67 and PKHD1L1 genes were identified as the most frequently mutated genes. CONCLUSIONS: The cervical cancer PDX models preserved the histologic and genetic characteristics of their original cervical cancer, which helped to gain a deeper insight into the genetic alterations and lay a foundation for further investigation of the molecular targeted therapy of cervical cancer.

The Application of Patient-Derived Xenograft Models in Gynecologic Cancers.

Recently, due to the limitations of cell line models and animal models in the preclinical research with insufficient reflecting the physiological situation of humans, patient-derived xenograft (PDX) models of many cancers have been widely developed because of their better representation of the tumor heterogeneity and tumor microenvironment with retention of the cellular complexity, cytogenetics, and stromal architecture. PDX models now have been identified as a powerful tool for determining cancer characteristics, developing new treatment, and predicting drug efficacy. An increase in attempts to generate PDX models in gynecologic cancers has emerged in recent years to understand tumorigenesis. Hence, this review summarized the generation of PDX models and engraftment success of PDX models in gynecologic cancers. Furthermore, we illustrated the similarity between PDX model and original tumor, and described preclinical utilization of PDX models in gynecologic cancers. It would help supply better personalized therapy for gynecologic cancer patients.

Characteristics and Treatments of Patients Aged 65 Years or Over with Cervical Cancer.

PURPOSE: Although the mortality of elderly women with cervical cancer is high, their characteristics and prognosis have not attracted sufficient attention. This study aims to clarify the prognostic factors of cervical cancer patients aged ≥65. PATIENT AND METHODS: The incidences and characteristics of patients diagnosed with cervical cancer (aged ≥65 and <65) during 2004-2015 were obtained through the Surveillance, Epidemiology, and End Results Program (SEER) database. The differences of distributions of characteristics between two age groups were compared by chi-squared (χ2) test. Kaplan-Meier survival method, Log-rank test, Cox-regression and visual nomogram were utilized for survival analysis. RESULTS: The annual incidences of two age groups with cervical cancer were (5.5-7.5)/100,000 and (3.4-3.9)/100,000, respectively, during 2004-2015. The 1-year and 5-year cancer-specific survival rates of old patients were both lower than those of young patients (P <0.001). The proportions of unmarried state and advanced International Federation of Gynecology and Obstetrics (FIGO) stage in old patients were higher than those in relatively young patients, and fewer elderly patients received surgery. Univariate and multivariate survival analysis showed non-squamous cell carcinoma, poor differentiation and late FIGO stage were independent poor prognostic factors for patients aged ≥65. Treatments improved the outcomes of elderly patients, and the effect of surgery was better than non-surgical treatment on elderly patients with FIGO I. Besides, geriatric score and survival probability could be accomplished by our nomogram with a c-index of 0.7945. CONCLUSION: Delayed diagnosis and insufficient treatment were two distinct features of elderly patients and correlated with their poor clinical outcomes. More attention and active treatments should be adopted in elderly women based on their general condition.

A Five-Genes-Based Prognostic Signature for Cervical Cancer Overall Survival Prediction.

Aims. This study is aimed at identifying a prognostic signature for cervical cancer. Main Methods. The gene expression data and clinical information of cervical cancer and normal cervical tissues were acquired from The Cancer Genome Atlas and from three datasets of the Gene Expression Omnibus database. DESeq2 and Limma were employed to screen differentially expressed genes (DEGs). The overlapping DEGs among all datasets were considered the final DEGs. Then, the functional enrichment analysis was performed. Moreover, the Cox proportional hazards regression was performed to establish a prognostic signature of the DEGs. The Kaplan-Meier analysis was applied to test the model. Relationships between gene expression and clinicopathological parameters in cervical cancer, including age, HPV status, histology, stage, and lymph node metastasis, were analysed by the chi-square test. The somatic mutations of these prognostic genes were assessed through cBioPortal. The robustness of the model was verified in another two independent validation cohorts. Key Findings. In total, 169 overlapping upregulated genes and 29 overlapping downregulated genes were identified in cervical cancer compared with normal cervical tissues. Functional enrichment analysis indicated that the DEGs were mainly enriched in DNA replication, the cell cycle, and the p53 signalling pathway. Finally, a 5-gene- (ITM2A, DSG2, SPP1, EFNA1, and MMP1) based prognostic signature was built. According to this model, each patient was given a prognostic-related risk value. The Kaplan-Meier analysis showed that a higher risk was related to worse overall survival in cervical cancer, with an area under the receiver operating characteristic curve of 0.811 for 15 years. The validity of this model in the prediction of cervical cancer outcome was verified in another two independent datasets. In addition, our study also found that the low expression of ITM2A was associated with cervical adenocarcinoma. Interestingly, DSG2 was associated with the HPV status of cervical cancer. Significance. Our study constructed a prognostic model in cervical cancer and discovered two novel genes, ITM2A and DSG2, associated with cervical carcinogenesis and survival.

Mifepristone inhibits IGF-1 signaling pathway in the treatment of uterine leiomyomas.

PURPOSE: To investigate the role of IGF-1 signaling pathway in the treatment of uterine leiomyomas with mifepristone. PATIENTS AND METHODS: From October 2015 to December 2018, 50 patients with uterine leiomyoma were included in this study. Overexpression or siRNA of IGF-1 in primary human uterine leiomyoma cells were treated with or without mifepristone. MTT was used to evaluate cell viability in assays of cell proliferation and cytotoxicity. IGF-1 expression in the cells was measured with real-time RT-PCR and Western blotting and manipulated with lentivirus ectopic overexpression or siRNA silencing. RESULTS: Inhibition of cell viability by mifepristone was found dependent on drug concentration and treatment time. IGF-1 and phosphorylation-ERK1/2 expression were decreased, while phosphorylation-AKT expression was increased after mifepristone treatment. IGF-1 significantly promoted cell growth, while IGF-1 knockdown and mifepristone showed synergistic inhibition effects on cell growth. The overexpression of IGF-1 reversed the inhibition of cell growth and ERK1/2 phosphorylation but showed no effect on AKT phosphorylation. CONCLUSION: Our study for the first time demonstrated that IGF-1 signaling via ERK1/2 appears to be an important target of mifepristone in the treatment of uterine leiomyomas, which may provide a new approach to avoid leiomyoma re-growth after cessation of mifepristone.

Overexpression of the 14-3-3γ protein in uterine leiomyoma cells results in growth retardation and increased apoptosis.

Protein 14-3-3γ was significantly reduced in human uterine leiomyoma compared to the adjacent normal myometrium tissue. To investigate the possible link between the reduced 14-3-3γ expression and uterine leiomyoma growth, we have overexpressed 14-3-3γ protein in uterine leiomyomal cells and its effects on cell proliferation and apoptosis were analyzed. Over-expression of 14-3-3γ was achieved by transducing into two types of uterine leiomyoma cells (primary culture cells and immortal stem cells) with a 14-3-3γ expressing adenovirus vector. Differentially expressed proteins were screened by the proteomics tool (TMT-LCTMS), followed by PANTHER database analysis to single out specifically modified signaling pathway proteins, which were confirmed by Phospho-MAPK Antibody Array and Western blots analysis. The results showed that increase in 14-3-3γ expression in both two types of human uterine leiomyoma cells inhibited cell proliferation and induced apoptosis. Proteomic screening has found 42 proteins, among 5846, that were significantly affected. PANTHER database and GeneMANIA analysis of the differentially expressed proteins have found that proteins involved in apoptosis signaling and cytoskeletal/adhesion were among the ones affected the most. Further analysis of the key signaling pathways have found that over-expression of 14-3-3γ resulted in reductions in the phosphorylations of multiple signaling molecules, including AKT, pan, ERK1/2, GSK-3 α/ß, MEK1/2, Foxo1 and Vimentin. In conclusion, the loss of 14-3-3γ may have causal effects on the growth of uterine leiomyoma, which may function through modifying multiple signaling pathways, including AKT-Foxo and/or MEK1/2-ERK1/2.

Effects of Disruption of PMC1 in the tfp1∆/∆ Mutant on Calcium Homeostasis, Oxidative and Osmotic Stress Resistance in Candida albicans.

The vacuolar-type H+-ATPase (V-ATPase) is essential for many cell processes. Our previous study has demonstrated that Tfp1 is a putative subunit of V-ATPase, loss of which causes disorders in calcium homeostasis and decreased resistance to oxidative stress. In this study, we found that further deletion of PMC1, a vacuolar calcium pump, in tfp1∆/∆ mutant led to more severe dysregulation of calcium homeostasis. Besides, the tfp1∆/∆pmc1∆/∆ mutant was more sensitive to H2O2 and had a higher ROS level. As is known, V-ATPase mutants are sensitive to NaCl, and PMC1 mutant is resistant against NaCl. However, the tfp1∆/∆pmc1∆/∆ mutant exhibited sensitivity to NaCl. Mechanism study demonstrated that their sensitivity was associated with reduced osmotic resistance caused by relatively low expression of GPD1. In addition, we first found that NaCl addition significantly declined ROS levels in tfp1∆/∆ and tfp1∆/∆pmc1∆/∆ mutants. In tfp1∆/∆ mutant, decreased ROS levels were relevant to enhanced antioxidant activities. However, in tfp1∆/∆pmc1∆/∆ mutant, reduced ROS resulted from decreased total calcium content, revealing that NaCl affected ROS levels in the two mutants through different mechanisms. Taken together, our data indicated that loss of both TFP1 and PMC1 further affected calcium homeostasis and other cellular processes in Candida albicans and provides a potential antifungal target.

Proteomic identification of neoadjuvant chemotherapy-related proteins in bulky stage IB-IIA squamous cervical cancer.

OBJECTIVE: The aim of this study was to investigate the effect of neoadjuvant chemotherapy (NAC) on the human squamous cervical cancer using proteomics profiling and to obtain related proteins to NAC exposure and response. METHODS: Paired samples of early-stage bulky squamous cervical cancer before and after NAC treatment from patients who responded to NAC were obtained and submitted to 2-dimensional gel electrophoresis and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MS). The expression and localization of the interesting proteins in additional paired samples were confirmed by Western blot analysis and immunohistochemistry. RESULTS: The comparison of the proteins present before and after NAC revealed that 116 protein spots were significantly changed. In all, 31 proteins were analyzed by MS, and 15 proteins were upregulated in the cancer tissue after NAC relative to the level before NAC, whereas 16 proteins were downregulated after NAC. The significantly higher expression of peroxiredoxin 1 and significantly lower expression of galectin 1 after NAC treatment were confirmed by Western blot. CONCLUSIONS: Proteomics can be used to identify the NAC-related proteins in squamous cervical cancer. The change in proteins may be associated with NAC exposure and response, but insight into their relevance requires further study.

Immunohistochemical expression of RAGE and its ligand (S100A9) in cervical lesions.

Altered expressions of receptor for advanced glycation end-products (RAGE) and its ligand (S100A9) are observed in many cancers and play a key role in inflammation-associated cancer. In our previous study, by two-dimensional gel electrophoresis followed by mass spectrometry, the expression of S100A9 protein was found to increase in squamous cervical cancer compared with adjacent normal cervical tissues. Therefore, in the present study we observed the expressions of S100A9 and RAGE in 30 chronic cervicitis, 50 cervical intraepithelial neoplasia (CIN), and 40 squamous cervical cancer (SCC) using immunohistochemical analysis and analyzed the differential expression and possible role of S100A9 and RAGE in cancer development. Immunohistochemical findings were as follows: the expressions of S100A9 and RAGE were demonstrated in chronic cervicitis, CIN, and SCC. Moreover, their expressions were gradually increasing as the tumor progressed. In SCC, the staining scores of S100A9 and RAGE were significantly higher in well-differentiated tumors compared to moderately and poorly differentiated tumors. The expression of S100A9 in epithelial cells exhibited a positive correlation to RAGE expression in chronic cervicitis, CIN, and SCC. There were no significant difference of S100A9 immunoreactivity in stromal cells among chronic cervicitis, CIN, and SCC. Moreover, there was no correlation between S100A9 immunoreactivity in stromal cells of SCC and clinicopathological parameters. Finally, double immunohistochemistry illustrated that RAGE and S100A9 co-express in SCC. In conclusion, RAGE binds its ligand (S100A9), which plays an important role in the development of SCC. In addition, the expressions of S100A9 and RAGE in SCC tumor cells were closely associated with histological differentiation.

Proteomic identification of differentially-expressed proteins in squamous cervical cancer.

OBJECTIVE: To identify candidate biomarkers for squamous cervical cancer as well as reveal the molecular mechanism underlying this disease by a proteomic approach. METHODS: Proteins from 10 pairs of human squamous cervical cancer and matching adjacent normal cervical tissues were separated by two-dimensional gel electrophoresis and the differentially expressed proteins were identified by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Then, some of the interesting proteins obtained were confirmed by Western blotting in the other 20 pairs of tissues. RESULTS: A comparison of protein patterns revealed 55 protein spots significantly changed, of which 24 protein spots with concordantly increased and 31 protein spots with concordantly decreased intensity in squamous cervical cancer compared with adjacent normal cervical tissues. Thirty-two of these proteins were identified by mass spectrometry. The overexpression of the Tyk2, S100A9, and Zinc finger protein 217 in squamous cervical cancer was confirmed by immunoblotting. CONCLUSIONS: Our study suggested that a proteomics-based approach is useful for developing a more complete picture of the protein profile of squamous cervical cancer. Further ongoing analysis of these differential proteins will determine their potential applicability to squamous cervical cancer-specific diagnosis and therapeutics.