Project description:In this study, we investigated CNAs of 59 tumor samples from 27 patients with submucosal-invasive gastric cancers (SMGC) by 44k oligonucleotide-based array comparative genomic hybridization (array CGH). 23 mucosal portion of SMGC vs 23 paired submucosal (SM) portion of SMGC, 9 SM portion vs 9 paired lymph node (LN) metastasis, 12 SMGC with LN metastasis vs 15 SMGC without LN metastasis
Project description:The expression of miRNA in cancer tissues of gastric cancer patients with different lymph node stages was compared. N0 indicated no lymph node metastasis, and N3 indicated 7 or more lymph node metastasis
Project description:Human primary gastric cancer tissue SAGE libraries. Profile of the genes expressed in well and poorly differentiated gastric cancer, early and advanced gastric cancer, scirrhous type gastric cancer, and lymph node metastasis determined through SAGE. Keywords = gastric cancer, histology, early gastric cancer, advanced gastric cancer, lymph node metastasis, scirrhous type gastric cancer Keywords: other
Project description:LncRNA and mRNA expression profiling for 7 human gastric cancr samples (3 tumor tissues and 3 tumor lymph node and 1 normal tissue) We have completed the metastasis-related Long Noncoding RNA expression profiling data microarray analysis of the 7 human gastric cancer related samples
Project description:Lymph node metastasis is one of the main causes for the low survival rate of gastric cancer patients. Exploring key proteins players in the progression of gastric adenocarcinoma (GAC) may provide new prognostic parkers and therapeutic strategies. we applied proteomic analysis to compare tumor tissues from GAC patients with or without lymph node metastasis, and captured unique molecular features of GAC patients with LNM. Analysis of the phosphoproteome provided a snapshot of abnormal phosphorylation signaling pathways and abnormal kinases activities. Furthermore, we found that TNXB and SPON1, two ECM proteins are associated with LNM status in GAC patients. Thus, our study suggests a number of proteins and kinases that has the potential to serve as prognosis markers to predict patient outcome.
Project description:Gastric cancer (GC) is a leading cause of cancer-induced mortality with poor prognosis with metastasis. However, the mechanism of gastric carcinoma lymph node metastasis remains unknown due to traditional bulk-leveled approaches mask roles of subpopulations. To answer questions from the gastric carcinoma intratumoral perspective in the metastasis, we performed single-cell level analysis on three gastric cancer patients with primary cancer and paired metastatic lymph node cancer tissues using scRNA-seq. Results showed distinct carcinoma profiles from each patient, and diverse microenvironmental subsets were shared by a different patient. Clustering data showed significant intratumoral heterogeneity. Results also revealed a subgroup of cells bridging the metastatic group and primary group, implying the transition state of cancer during the metastatic process. In the present study we obtained a more comprehensive picture over gastric cancer lymph node metastasis, and we discovered some GC lymph node metastasis marker genes (ERBB2, CLDN11 and CDK12), as well as potential gastric cancer evolutionary driving genes (FOS and JUN), which provide a basis for the treatment of heterogeneity.
Project description:To determine the lncRNA expression profile in Lung adenocarcinoma (LAD) with or without lymph node metastasis and matched non-tumor tissues, we uesed lncRNA microArray analysis form Arraystar to examine the expression of lncRNAs in LAD with or without lymph node metastasis and matched non-tumor tissues.
Project description:Genome-wide methylation analysis was performed by methylated DNA immunoprecipitation-CGI microarray analysis. A pool of four cancer samples without lymph node metastasis, two pools of four cancer samples with lymph node metastasis, and three metastatic lymph nodes were prepared from the patients, and analyzed by MeDIP-CGI microarray.
Project description:Gene expression profiling of early stage cervical cancer tumours with and without lymph node metastasis, in order to predict lymph node metastasis before treatment. Subsequently, comparing gene expression profiles between healthy cervical tissue and early stage cervical cancer tissue. Keywords: Disease stage analysis
Project description:LncRNA and mRNA expression profiling for 7 human gastric cancr samples (3 tumor tissues and 3 tumor lymph node and 1 normal tissue) We have completed the metastasis-related Long Noncoding RNA expression profiling data microarray analysis of the 7 human gastric cancer related samples In the study presented here, a consecutively operated, well-defined cohort of three gastric cancer tissues and three metastatic lymph nodes tissues compared with the normal tissues and lymph nodes tissues, followed up more than five years, was used to acquire expression profiles of a total of 1942 lncRNA and 1976 mRNA, leading to the successful construction of supervised
