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:RATIONALE: Studying the genes expressed in samples of tissue from patients with cancer may help doctors identify biomarkers related to cancer.
PURPOSE: This laboratory study is using gene expression profiling to evaluate normal tissue and tumor tissue from patients with colon cancer that has spread to the liver, lungs, or peritoneum.
Project description:Cervical cancer is one of the most common cancers in women worldwide. The role of HPV in cervical cancer is well studied, however, the underlying mechanism promoting cervical tumorigenesis is still not fully understood. Recently, emodin was shown to induce cell cycle arrest, induction of differentiation, downregulation of TGF β signaling pathway and apoptosis in cervical cancer cell lines. Further, recent studies have shown the role of miRNAs in mediating abnormal regulatory mechanisms leading to the pathogenesis of cervical cancer and large scale miRNA profiling studies have examined the use of miRNAs as cervical cancer diagnostic markers. However, to date, there is no study being performed to analyze the changes in miRNAs following emodin treatment to determine whether emodin mediates its effects by regulating the expression of miRNAs. Therefore, the aim of the current study is to perform miRNA profiling in cervical cancer cells following emodin treatment and to analyze the roles of differentially expressed miRNAs in regulating the pathogenesis and treatment of cervical cancer.
Project description:Gene expression profiling of 82 patients with cervical cancer was performed. The expression data were correlated with copy number alterations of the same patients, as assessed with array CGH in a separate study, in order to identify drivers of cervical cancer carcinogenesis.
Project description:Affymetrix-U133-plus2.0-based gene expression analysis of laser-captured epithelium from 128 cervical tissue specimens from women enrolled in SUCCEED Cervical cancer (CC) is the second most frequent cancer in women and the third leading cause of cancer death in women worldwide. Our analysis of normal, precancerous, and cancerous cervical tissue shows that progress of the disease is a cascade of increased DNA replication/repair and cell proliferation followed by substantial metabolic shifts. The data show a sharp decrease in estrogen receptor alpha (ERα) in tumor cells, and ranking tissue specimens by estrogen-responsive gene expression correlates remarkably closely with histological pathology. Johan, den Boon, Morgridge Institute for Research at University of Wisconsin-Madison Paul, Ahlquist, Howard Hughes Medical Institute and Morgridge Institute for Research at University of Wisconsin-Madison Nicolas, Wentzensen, National Cancer Institute