Project description:Cancer Gastric (CG) is a multifactorial disease with an important genetics background, per example copy number variants (CNV). Microarray data analysis were performed to identify CNV that could be contributing to those Mexican patient's clinical phenotypes
Project description:Gene expression of tumor sample of mexican patients with breast cancer. Samples obtained from the Hospital San Jose Tec de Monterrey.
Project description:miRNAs expression of tumor sample of mexican patients with breast cancer. Samples obtained from the Hospital San Jose Tec de Monterrey.
Project description:Gene expression of tumor sample of mexican patients with breast cancer. Samples obtained from the Hospital San Jose Tec de Monterrey. The experiments were with one color per patient, gene expression profile is from a tumor sample of mexican patients with breast cancer.
Project description:miRNAs expression of tumor sample of mexican patients with breast cancer. Samples obtained from the Hospital San Jose Tec de Monterrey. The experiments were with one color per patient, miRNAs expression profile is from a tumor sample of mexican patients with breast cancer.
Project description:Our aim was to decipher the underlying molecular mechanism of synchronous ovarian metastasis of gastric cancer. We hereby conducted transcriptome sequencing of triple-matched samples including normal gastric mucosa, primary gastric cancer and ovarian metastatic tumors from 3 individual patients with the application of Illumina sequencing platform with 150-bp paired-end. Follow-up analyses not only identified differentially expressed genes between different sample sets (a threshold of fold change >2 and adjusted P value <0.05) but also uncovered significantly enriched signaling pathways of individual type. To sum up, our comparative transcriptomic analyses of triple-matched fresh samples stored in liquid nitrogen profiled the molecular expression and revealed functionally enriched pathways underlying the ovarian metastasis of gastric cancer.
Project description:Acute lymphoblastic leukemia (ALL) is the most common childhood cancer worldwide, with higher incidence and lower survival rates observed in the Mexican population. This study aimed to characterize the genome-wide DNA methylation landscape in a cohort of Mexican pediatric ALL patients. Bone marrow (BM) or peripheral blood (PB) samples were collected at diagnosis from 53 children under 17 years old with B-cell ALL, alongside BM samples from 5 pediatric non-ALL controls. DNA methylation profiling was performed using the Illumina Infinium MethylationEPIC v2.0 array. Data processing and identification of differentially methylated positions (DMPs) were conducted using the ChAMP package in R. This dataset provides a comprehensive epigenomic resource for investigating methylation-based biomarkers and dysregulated pathways in this understudied population.