Project description:Liver cancer is one of the most lethal cancers worldwide. Liquid biopsy provides a noninvasive approach in detecting and monitoring cancer biomarkers to overcome current limitations associated with tissue biopsies, comprising the analysis of circulating tumor-derived material. In this study, we profiled plasma cell-free RNA-seq to identify recurrently dysregulated RNA biomarkers for the liquid biopsy of cancer.
Project description:We sequenced cell-free RNA (cfRNA) for five cancer types (colorectal cancer, stomach cancer, liver cancer, lung cancer and esophageal cancer) and healthy individuals in 230 plasma samples collected from 6 clinical centers in China. Cancer related signaling pathway and microbial genus were identified. Cancer detection and specific classification were achieved through combining both host and microbial cfRNA reads.
Project description:We sequenced plasma exosomal RNA obtained from 58 blood samples from 29 cervical cancer patients treated with concurrent chemoradiotherapy (CCRT) followed by intracavitary brachytherapy. The patients with 2018 International Federation of Gynecology and Obstetrics [FIGO] stage IB-IVB at diagnosis were included. The 29 cervical cancer patients had two blood samples for each patient drawn before and after CCRT. Next generation sequencing data from plasma exosome included small RNAs, long non-coding RNAs, and mRNAs, of which miRNAs and mRNAs were used for analysis. The log2 fold change values were calculated between the two samples from each patient to detect miRNAs as predictors of early progression and metastasis. We analysed their biological functions through miRNA-mRNA network analysis after selecting several potential exosomal miRNAs associated with clinical results.
Project description:Gene expression profiling of circulating plasma RNA is a valuable tool to detect cancer and a potential clinical instrument to study tumor progression and therapy responsiveness. In this study, differential gene expression analysis was used to identify genes specifically increased in cancer patients. Keywords: Disease state analysis
Project description:Plasma small noncoding RNA levels were measured in breast cancer patients and healthy control women, to determine whether any of these were associated with either patient prognosis, or as diagnostic markers for breast cancer.