CA125, human epididymis secretary protein 4 (HE4) and the Risk of Ovarian Malignancy Algorithm (ROMA) could be used for diagnosing ovarian cancer (OCa). However, it has not been conclusively determined which of these markers yields the best diagnostic accuracy. Therefore, we conducted a meta-analysis to evaluate the diagnostic value of these markers. We systematically searched the PubMed and ScienceDirect databases and identified 32 studies that evaluated the role of CA125, HE4 and ROMA in diagnosing OCa. The bivariate random-effects approach was used to calculate the pooled estimates by considering the heterogeneity of major related parameters such as the menopausal status, International Federation of Gynecology and Obstetrics stages, detection method and blinded design. Three tests yielded similar discriminatory performances in the OCa diagnosis (AUC [95 % CI]-0.89 [0.86-0.92] for HE4; 0.87 [0.84-0.90] for CA125; 0.91 [0.88-0.93] for ROMA). HE4 yielded a higher specificity than CA125 and ROMA (HE4 93.60 [90.00-95.90] >CA125 82.10 [76.60-86.50] and ROMA 82.40 [77.40-86.50]), especially in the premenopausal subgroup (HE4 93.80 [88.40-96.80] >CA125 76.30 [63.30-85.70] and ROMA 85.10 [80.40-88.80]). In contrast, CA125 and ROMA performed significantly better in the postmenopausal subgroup than in the premenopausal subgroup (AUC [95 % CI]-CA125-premenopausal 0.85 [0.82-0.88]
Ovarian cancer is the most lethal gynecological malignancy worldwide, and early detection of this disease using serum or plasma biomarkers may improve its clinical outcome. In the present study, a large scale protein database derived from ovarian cancer was created to enable tumor marker discovery. First, primary organ cultures were established with the tumor tissues and corresponding normal tissues obtained from six ovarian cancer patients, and the serum-free conditioned medium (CM) samples were collected for proteomic analysis. The total proteins from the CM sample were separated by SDS-PAGE, digested with trypsin and then analyzed by LC-MS/MS. Combining data from the tumor tissues and the normal tissues, 1129 proteins were identified in total, of which those categorized as "extracellular proteins" and "plasma membrane proteins" accounted for 21.4% and 16.9%, respectively. For validation, three secretory proteins (NID1, TIMP2, and VCAN) involved in "organ development"-associated subnetwork, showed significant differences between their levels in the circulating plasma samples from ovarian cancer patients and healthy women. In conclusion, this ovarian cancer-derived protein database provides a credible repertoire of potential biomarkers in blood for this malignant disease, and deserves mining further.
Our study suggests that plasma nidogen-1 may be used as a diagnostic biomarker for ovarian serous carcinoma and can reflect the tumor burden.
Background Metastatic cervical squamous cell carcinoma (CSCC) has poor prognosis and is recalcitrant to the current treatment strategies, which warrants the necessity to identify novel prognostic markers and therapeutic targets. Given that CSCC is a virus-induced malignancy, we hypothesized that the pattern recognition receptors (PRRs) involved in the innate immune response likely play a critical role in tumor development. Methods A bioinformatics analysis, qPCR, IHC, immunofluorescence, and WB were performed to determine the expression of NOD1/NOD2. The biological characteristics of overexpression NOD1 or NOD2 CSCC cells were compared to parental cells: proliferation, migration/invasion and cytokines secretion were examined in vitro through CCK8/colony formation/cell cycle profiling/cell counting, wound healing/transwell, and ELISA assays, respectively. The proliferative and metastatic capacity of overexpression NOD1 or NOD2 CSCC cells were also evaluated in vivo. FCM, mRNA and protein arrays, ELISA, and WB were used to identify the mechanisms involved, while novel pharmacological treatment were evaluated in vitro and in vivo. Quantitative variables between two groups were compared by Student’s t test (normal distribution) or Mann-Whitney U test (non-normal distribution), and one-way or two-way ANOVA was used for comparing multiple groups. Pearson χ2 test or Fisher’s exact test was used to compare qualitative variables. Survival curves were plotted by the Kaplan-Meier method and compared by the log-rank test. P values of < 0.05 were considered statistically significant. Results NOD1 was highly expressed in CSCC with lymph-vascular space invasion (LVSI, P < 0.01) and lymph node metastasis (LM, P < 0.01) and related to worse overall survival (OS, P = 0.016). In vitro and in vivo functional assays revealed that the upregulation of NOD1 or NOD2 in CSCC cells promoted proliferation, invasion, and migration. Mechanistically, NOD1 and NOD2 exerted their oncogenic effects by activating NF-κb and ERK signaling pathways and enhancing IL-8 secretion. Inhibition of the IL-8 receptor partially abrogated the effects of NOD1/2 on CSCC cells. Conclusions NOD1/2-NF-κb/ERK and IL-8 axis may be involved in the progression of CSCC; the NOD1 significantly enhanced the progression of proliferation and metastasis, which leads to a poor prognosis. Anti-IL-8 was identified as a potential therapeutic target for patients with NOD1high tumor.
ProblemSince not too many human uterus cervical squamous cell carcinoma (CSCC) cell lines in existence, efficient isolation, culture, and purification protocols for primary CSCC cells were optimized as a tool for the study of uterus CSCC.Method of studyThe protocols for partial multiple enzymatic digestion and explant cell culture were combined and then the resulting mixed cell component cultures were purified by magnetic‐activated cell sorting. Colony‐forming assay was utilized for detection of cell carcinogenesis potential, and immunofluorescence was used to detect protein expression of CSCC. Finally, flow cytometry (FCM) was performed to analyze cancer stem cells (CSCs) phenotypic markers as well as programmed cell death ligand 1(PD‐L 1).ResultsFreshly isolated cells containing tumor cells and cancer‐associated fibroblasts (CAFs) efficiently proliferate to 85% confluence on a 6 cm petri dish in 5‐7 days. Anti‐epithelial cell adhesion molecule antibody (EpCAM) microbeads were used to successfully separate a homogeneous subpopulation of epithelial tumor cells. Both EpCAM+ and EpCAM− cell subpopulations were able to be passaged more than 30 times. Proportions of tumor cell populations expressed CSCs markers such as CD133, CD24, aldehyde dehydrogenase 1 (ALDH1), and CD44. The vimentin+ & EpCAM− population, defined with CAFs, could express CD146 mesenchymal stem cells marker. Meanwhile, PD‐L 1 was identified in most subpopulation of CD44+ cells at low passage numbers.ConclusionEfficient isolation, culture, and purification protocols for primary CSCC cells were successfully built. Additionally, the profiling of CSCs cell markers might provide promising therapeutic targets and clinic strategies.
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