ABSTRACT
Objective:To explore the prognostic factors of epithelial ovarian carcinoma (EOC), construct a nomogram model, and evaluate the prognosis of EOC patients.Methods:A retrospective analysis was performed on clinicopathological data of 208 cases of EOC patients who received initial treatment in the First Affiliated Hospital of Army Medical University from August 11, 2016 to July 11, 2018, including age, preoperative ascites, preoperative neoadjuvant chemotherapy, surgical method, pathological type, pathological differentiation degree, surgical pathology stage, preoperative and post-chemotherapy serum cancer antigen 125 (CA 125) level, human epididymal protein 4 (HE4) level, platelet count and platelet/lymphocyte number ratio (PLR). The univariate and multivariate Cox risk ratio models were used to analyze the related factors affecting progression free survival (PFS) in EOC patients, and the prediction nomogram of PFS in EOC patients was established to evaluate its efficacy in predicting PFS. Results:Univariate analysis showed that preoperative neoadjuvant chemotherapy, pathological type, pathological differentiation degree, surgical pathology stage, serum CA 125 and HE4 level before operation and after chemotherapy, platelet count and PLR before operation and after chemotherapy were significantly correlated with PFS in EOC patients (all P<0.05). Multivariate analysis showed that surgical pathology stage, preoperative PLR, serum CA 125 and HE4 level after chemotherapy were independent prognostic factors affecting PFS of EOC patients (all P<0.01). The index coefficient of the prediction model for the prognosis of EOC patients established by this method was 0.749 (95% CI: 0.699-0.798), which had good prediction ability, and could help clinicians to more accurately evaluate the prognosis of EOC patients. Conclusion:The nomogram model constructed based on surgical pathology stage, preoperative PLR, serum CA 125 and HE4 level after chemotherapy could effectively predict the PFS of EOC patients after initial treatment, could help clinicians to screen high-risk patients, provide individualized treatment, and improve the prognosis of EOC patients.
ABSTRACT
Objective To investigate the copy number changes on chromosome 3q26. 1 in urothelial carcinoma of the bladder, and to explore its potential clinical significance. Methods The microarray-based comparative genomic hybridization (Array-CGH) approach was used to analyze the genome-wide copy number changes of 35 tumor tissue samples of bladder cancer. To confirm the loss of a small fragment in 3q26. 1 detected by Array-CGH, real-time fluorescent quantitative polymerase chain reaction (real-time PCR) was performed with 57 frozen tumor tissue samples and 34 formalinfixed paraffin-embedded (FFPE) tumor tissue samples. The urine sediment cells collected from 15 healthy volunteers and 29 bladder cancer patients were checked as above. Results The Array-CGH data showed that the copy number loss of a small fragment in 3q26. 1 was detected in 77.1% (27/35)of the tumor tissue samples investigated. Real-time PCR analysis validated this loss of a small fragment of 3q26.1 with high frequencies in both 57 frozen tumor samples and 34 FFPE tumor samples.The percentage of samples exhibiting loss was 78.9% (45/57) and 100. 0% (34/34) respectively.Furthermore, the relative copy number of the 3q26.1 small fragment was significantly lower in the urinary sediment cells of the patients (median=0. 0020), comparing with that of healthy controls (median=0. 0030) (P＜0.01). Conclusions Loss of the small fragment in 3q26.1 could be a characteristic genetic change of urothelial carcinoma of the bladder. It may serve as a potential molecular marker for bladder cancer.