Project description:We have tried to identify molecules associated with lymph node ratio expression by microarray. Expression microarray data prioritized gene candidates according to average expression ratio and its frequency. Among these genes, we examined particular EGFR expression by immunohistochemistry (IHC) in 167 advanced gastric cancer.
Project description:We have tried to identify molecules associated with lymph node ratio expression by microarray. Expression microarray data prioritized gene candidates according to average expression ratio and its frequency. Among these genes, we examined particular EGFR expression by immunohistochemistry (IHC) in 167 advanced gastric cancer. We compared tumor specimens with high LNR (n=4) with those with low one (n=4) at mRNA level by Affymetrix microarray (harboring 54,675 genes) in stage III gastric cancer. We then prioritized the expression data, and enriched genes correlated with LNR, and finally validated EGFR as such candidates in primary advanced gastric cancer who underwent standard treatment (n=167).
Project description:Both the univariate analysis and multivariate analysis showed that the status of primary lymph node was the strongest predict factor. The subgroup analysis confirmed that the lymph node metastasis was associated to worse prognosis only in stage T3 and T4, rather than in stage T1 and T2. We firstly proposed the hypothesis that the status of lymph node reflected delayed diagnose of the disease, rather than the biological behavior of “seed”. The mRNA profile showed that there was minimal difference between lymph node positive and negative subgroups. The status of lymph node reflected delayed diagnose of the disease, rather than the biological behavior of “seed”.
Project description:Molecular Biomarkers Screened by Next-generation RNA Sequencing for non-sentinel lymph node status predicting in breast cancer patients with metastatic sentinel lymph node
Project description:Gene expression patterns and TP53 mutations are associated with HPV RNA status, lymph node metastasis, and survival in head and neck cancer
Project description:Lymph node status is a crucial predictor for the overall survival of invasive breast cancer. However, lymph node involvement is only detected in about half of HER2 positive patients. Currently, there are no biomarkers available for distinguishing small size HER2-positive breast cancers with different lymph node statuses. Thus, in the present study, we applied label-free quantitative proteomic strategy to construct plasma proteomic profiles of ten patients with small size HER2-positive breast cancers (5 patients with lymph node metastasis versus 5 patients with lymph node metastasis).