Eight-signature classifier for prediction of nasopharyngeal [corrected] carcinoma survival.

PURPOSE: Currently, nasopharyngeal carcinoma (NPC) prognosis evaluation is based primarily on the TNM staging system. This study aims to identify prognostic markers for NPC. PATIENTS AND METHODS: We detected expression of 18 biomarkers by immunohistochemistry in NPC tumors from 209 patients and evaluated the association between gene expression level and disease-specific survival (DSS). We used support vector machine (SVM)--based methods to develop a prognostic classifier for NPC (NPC-SVM classifier). Further validation of the NPC-SVM classifier was performed in an independent cohort of 1,059 patients. RESULTS: The NPC-SVM classifier integrated patient sex and the protein expression level of seven genes, including Epstein-Barr virus latency membrane protein 1, CD147, caveolin-1, phospho-P70S6 kinase, matrix metalloproteinase 11, survivin, and secreted protein acidic and rich in cysteine. The NPC-SVM classifier distinguished patients with NPC into low- and high-risk groups with significant differences in 5-year DSS in the evaluated patients (87% v 37.7%; P < .001) in the validation cohort. In multivariate analysis adjusted for age, TNM stage, and histologic subtype, the NPC-SVM classifier was an independent predictor of 5-year DSS in the evaluated patients (hazard ratio, 4.9; 95% CI, 3.0 to 7.9) in the validation cohort. CONCLUSION: As a powerful predictor of 5-year DSS among patients with NPC, the newly developed NPC-SVM classifier based on tumor-associated biomarkers will facilitate patient counseling and individualize management of patients with NPC.

[Relationship between combined multigene detection and response to adjuvant chemotherapy in early-stage non-small cell lung cancer].

OBJECTIVE: To evaluate the relationship between combined multigene detection and response to adjuvant chemotherapy and prognosis in early-stage non-small cell lung cancer (NSCLC). METHODS: Tissue microarray was prepared from samples of 86 cases of early-stage NSCLC who received adjuvant chemotherapy after radical surgery. The expressions of caspase-3, Fas, bax, bcl-2, survivin, PCNA, Ki67, MGMT, p53, p63, p73, p16, p27, VEGF, nm23, P-gp, MRP, LRP, GST-pi, Topo II, c-myc, cyclin-D1, Her-2, Cox-2, Ku70, Ku80, DNA-PKcs, ERCC1, MSH2, BCRP proteins were detected using immunohistochemical two-step method. RESULTS: The positive rate of the 30 genes in lung cancer tissue were 27.9% - 91.9%, respectively. By univariate analysis, the expression of 8 genes was shown to be related with SCLC adjuvant chemotherapy. The cases with higher expression of survivin, P-gp, LRP, Ki67, p53, ERCC1 and lower expression of bax,VEGF had worse prognosis. By logistic regression analysis, the ERCC1, survivin, bax and VEGF were a marker group. Multivariate analysis showed the predict value of the response to adjuvant chemotherapy in early-stage NSCLC was 96.5%. CONCLUSION: Survivin, ERCC1, bax and VEGF are an ideal marker group to predict the effect of adjuvant chemotherapy in early-stage NSCLC.

[Relationship between combined multigene detection and response to chemotherapy and prognosis in epithelial ovarian carcinomas].

OBJECTIVE: To evaluate the relationship between combined multigene detection and response to chemotherapy and prognosis in epithelial ovarian carcinomas (EOCS). METHODS: A total of 80 ovarian tissue samples taken from the surgical specimens of patients with EOCS of our hospital in the last two decades who had received chemotherapy after surgery were paraffin-embedded. The samples were divided into 2 groups, good prognosis group (patients who survived more than 2 years, n = 46) and poor prognosis group (patients who survived less than 2 years, n = 34). The expression levels of ToPo-II, Ki-67, MGMT, PCNA, p27, p53, p16, P-gp, LRP, GST-pi, bcl-2, C-myc, Fas, bax, MSH2, MRP and BCRP were investigated by the combination of tissue arrays and immunohistochemical streptavidin-biotin peroxidase (SP) method in all samples. Data were analysed with SPSS 12.0 for windows. RESULTS: There were statistically significant differences in the positive expression levels of P-gp, BCRP, MGMT, MSH2, p27 and p16 (62%, 50% and 50% in poor prognosis group vs 33%, 28% and 28% respectively, P < 0.05) in the good prognosis group, suggesting that the positive expression levels of P-gp, BCRP, MGMT, MSH2, p27 and p16 were related to the response to chemotherapy and prognosis in EOCS. And the positive expression of P-gp, BCRP and MSH2 (43%, 54% and 43%) indicated poor prognosis, while the positive expression of MGMT, p27 and p16 (18%, 29% and 24%, P < 0.05) indicated good prognosis. Cox multigene expression analysis confirmed that the positive expression levels of MRP, C-myc, LRP, p16, p27, MGMT, ToPo-II, P-gp and GST-pi were related to the response to chemotherapy and prognosis in EOCS. And the positive expression of MRP, C-myc, LRP, ToPo-II, P-gp and GST-pi indicated poor prognosis, while the positive expression of MGMT, p27 and p16 indicated good prognosis. Combined multigene detections were conducted among P-gp, BCRP, MGMT, MSH2, p27 and p16, and there were statistically significant differences in the positive coexpression of P-gp plus MGMT in the two groups (P < 0.05); indicating that the combined multigene expression were related to the response to chemotherapy and prognosis in EOCS. The predictive value to response to chemotherapy and prognosis of the positive coexpression of P-gp plus MGMT was 70%. CONCLUSIONS: By univariate and multivariate analyses, the positive expression of P-gp, MGMT, p27 and p16 are related to the response to chemotherapy and prognosis in EOCS. The combined multigene expression of P-gp plus MGMT are related to the response to chemotherapy and prognosis and could predict prognosis more effectively.