ObjectiveTo detect the level of serum melanoma-inbibiting activity (MIA) in patients with uveal melanomas, and investigate the value of MIA in diagnosing and inspecting uveal melanomas.MethodsEnzyme-linked immunosorbent assay (ELISA) was used to detect the concentrations of MIA in peripheral serum of 27 patients with uveal melanoma, 6 with melanocyte tumor, 7 with other ocular tumors and 16 healthy individuals, respectively.ResultsThe concentration of MIA in patients with uveal melanoma was significantly higher than that in the healthy ones (16 individuals) and the patients with adenoma of non pigmented ciliary epithelium (4 patients), retinoblastoma (2 patients), and retinal angioma 91 patient). The concnetration of MIA in patients with uveal melanoma without scleral infiltration or remote metastasis was obviously lower than that in the patients with scleral infiltration or remote metastasis, but didn′t differ much from which in the patients with melanocyte tumor. In the patients with uveal melanoma without infiltration or remote metastasis, there was no significant difference of MIA level between patients with spindle cell and mixed and epithelioid cell.ConclusionThe level of serum MIA may be an effective index in diagnosing uveal melanoma, which can monitor the metastasis of uveal melanoma.(Chin J Ocul Fundus Dis, 2005,21:153-155)
Objective To investigate the relationship between the expression of vascular endothelial growth factor(VEGF)and the retinoblastome(RB)differentiation degree and the infitration capability. Method The VEGF expression in RB tissues of 40 cases was analysed by using LSAB immunohistochemical method. Results The VEGF expression in differentiated RB tissues of 13 cases was markedly lower than that in non-differentiaed RB tissues of 27 cases(P＜0.05);The VEGF expression in RB tissues of the optic nerve infiltrated group(14 cases) was significantly higher than of the optic nerve noninfiltrated group(26 cases)(P＜0.05)． Conclusion The results indicate that the VEGF expression is signficantly related with the differentiation degree and infiltration capability of RB. (Chin J Ocul Fundus Dis, 1999, 15: 238-240)
ObjectiveTo develop an immune-related genes (IRGs) based prognostic signature and evaluate the value in predicting prognosis in patients with colon cancer.MethodsGene chip data sets of 452 colon cancer patients were collected from the TCGA database, and 2 498 IRGs data sets were obtained from the ImmPort database. After taking the intersection, univariate and multivariate Cox proportional hazards regression analysis were used to screen and construct the IRGs gene model. To evaluate the prognostic value of genetic models, Cox proportional hazards regression was used to analyze the correlation between IRGs model/clinicopathological features with prognosis of colon cancer. The relationship between risk score and immune cell infiltration was analyzed too.ResultsA total of 206 differentially expressed IRGs were identified in colon cancer tissues, and 11 kinds of IRGs were identified by univariate and multivariate Cox proportional hazards regression analysis: solute carrier family 10 member 2 (SLC10A2), C-X-C motif chemokine ligand 5 (CXCL5), C-C motif chemokine ligand 28 (CCL28), immunoglobulin kappa variable 1D-42 (IGKV1D-42), chromogranin A (CHGA), endothelial cell specific molecule 1 (ESM1), gastrin releasing peptide (GRP), stanniocalcin 2 (STC2), urocortin (UCN), oxytocin receptor (OXTR) and immunoglobulin heavy constant gamma 1 (IGHG1). Colon cancer patients were divided into high risk group and low risk group according to the median value of risk value of IRGs risk markers. Patients in the high risk group had shorter overall survival (OS) than that in the low risk group (P<0.001). The area of the time-dependent ROC curve (AUC) was 0.754, suggesting that IRGs model had a good ability to predict the prognosis of colon cancer patients. The higher the risk value of IRGs, the later T stage of colon cancer (T3–T4), the more lymph node metastasis (N1–N2) and the later clinical stage of colon cancer (Ⅲ–Ⅳ), P<0.05. Except for neutrophils, the infiltration density of B cells, CD4+ T cells, CD8+ T cells, dendritic cells and macrophages were significantly increased with the increased of the risk value (P<0.05).ConclusionThe risk values of the 11 kinds of IRGs gene models screened in this study can be used to predict the prognosis of colon cancer patients, and can be used as biomarkers to evaluate the prognosis of colon cancer patients.