RESUMO
BACKGROUND: Ovarian cancer (OC) is one of the most lethal gynecological malignancies. This study aimed to identify biomarkers that were sensitive to platinum-based chemotherapeutic agents and can be used in immunotherapy and explore the importance of their mechanisms of action. METHODS: RNA-seq profiles and clinicopathological data for OC samples were obtained from The Cancer Genome Atlas (TCGA) and cBioPortal platform, respectively. Platinum-sensitive and platinum-resistant OC samples in the TCGA cohort were selected based on the clinical information. RNA-seq data for 70 OC samples withSingle-sample gene set enrichment analysis (ssGSEA) and unsupervised clustering were used to classify OC patients from the TCGA cohort into clusters with different proportions of infiltrating immune cells. ESTIMATE analysis was used to assess the immune landscape among clusters. Differential expression, univariate Cox regression, and LASSO regression analyses were performed to construct prognostic model. Spearman correlation analysis was conducted to investigate the correlations among immune checkpoint inhibitors (ICIs) and risk score, half-maximal drug inhibitory concentration (IC50) and risk score. RESULTS: Using ssGSEA and unsupervised clustering, OC samples were divided into two clusters with different immune cell infiltration. Then, 1715 differentially expressed immune-related genes (DEIRGs) were identified between two clusters, 984 differentially expressed platinum-sensitive related genes (DEPSRGs) between 149 platinum-sensitive and 63 platinum-resistant OC samples were identified, and 5384 differentially expressed genes (DEGs) between 380 OC and 194 normal samples were detected from the TCGA cohort. Six biomarkers (GMPPB, SRPK1, STC1, PRSS16, HPDL, and SPTSSB) were detected to establish a prognostic model. The OC patients in the TCGA cohort were classified into high- and low-risk groups. The receive operating characteristic (ROC) curve was plotted and demonstrated that the prognostic model performed well with the area under ROC curve (AUC) greater than 0.6. The expressions of 5 ICIs, including CD200, TNFRSF18, CD160, CD200R1, and CD274 (PD-L1), were significantly different between two risk groups, and the risk score was significant negative associated with CTLA4, TNFRSF4, TNFRSF18, and CD274. Moreover, there were significant differences in IC50 of 10 chemo drugs between two risk groups, patients in the high-risk group could be more resistant to po0tinib, dasatinib, and neratinib. CONCLUSION: In summary, this study constructed a novel prognostic model based on six prognostic biomarkers, including GMPPB, SRPK1, STC1, PRSS16, HPDL, and SPTSSB, which can be utilized for predicting the prognosis of OC patients. These biomarkers were the potential therapeutic targets.
RESUMO
BACKGROUND: The association between clinicopathologic characteristics and the relapse of fibrous gingival hyperplasia is unknown. METHODS: The records of 211 consecutive patients with a clinicopathologic diagnosis of fibrous gingival hyperplasia were retrieved. Patients who experienced relapse after surgical excision of the lesion were considered case patients (n = 30). All control patients were informed that there was no recurrence (n = 181). Logistic regression was used to evaluate the associations among different characteristics and the recurrence. Stratified analyses on sex was applied to identify the different associations. RESULTS: Binary logistic regression showed that patients with ulcer (odds ratio [OR], 3.23; 95% CI, 1.18 to 8.83) or mechanical stimulation (OR, 2.42; 95% CI, 1.03 to 5.68) had a higher risk of experiencing recurrence. Stratified analysis of sex identified significant association in females (ulcer: OR, 4.04; 95% CI, 1.14 to 14.34; mechanical stimulation: OR, 3.30; 95% CI, 1.15 to 9.42). No significant difference was observed in males (ulcer: OR, 2.44; 95% CI, 0.40 to 15.06; mechanical stimulation: OR, 1.62; 95% CI, 0.28 to 9.40). Male patients with larger epulides had fewer recurrence (OR, 0.13; 95% CI, 0.02 to 0.74). There was no significant difference in pathologic calcification between case and control patients (P > .05). CONCLUSIONS: Patients with ulcer and mechanical stimulation may have a high risk of experiencing recurrent epulis. PRACTICAL IMPLICATIONS: More attention should be paid to patients with ulcer and mechanical stimulation. Apart from complete surgical removal, it is important to remove local stimulation to prevent recurrence of these lesions.