Project description:Gene expression profiling of normal cervix, CIN's and cancer cervix, with an intent to identify genes involved in the malignant transformation of normal cervix and to identify genes which can be used as biomarkers for early diagnosis. Identification of genes for predicting radiation response using microarray gene expression studies Keywords: Patient tissue samples
Project description:mRNA, lncRNA, and miRNA signatures were identified to discriminate cervical adenocarcinoma from normal cervix by whole transcriptome sequencing. We confirmed the RNA-seq data in another cohort of clinical cervical tissue samples by qRT-PCR.We demonstrated that miR-192-5p/HNF1A-AS1/VIL1 panel could accurately discriminates adenocarcinoma from normal cervix. Moreover,we also identified the circRNA expression profiles in cervical adenocarcinoma tissues and explored the function roles and mechanisms of circular RNA circEYA1 and circSPIDR in cervical adenocarcinoma cells.
Project description:This SuperSeries is composed of the following subset Series: GSE30758: Epigenome analysis of normal cells from the uterine cervix in a nested prospective case control study within the ARTISTIC trial GSE30759: Epigenome analysis of normal and cancer tissue from the uterine cervix Refer to individual Series
Project description:Gene expression profiling of normal cervix, CIN's and cancer cervix, with an intent to identify genes involved in the malignant transformation of normal cervix and to identify genes which can be used as biomarkers for early diagnosis. Identification of genes for predicting radiation response using microarray gene expression studies Keywords: Patient tissue samples Two dye experiments using Universal control RNA (Stratagene) and RNA from tissues. Biological replicates: Normal = 5; CIN1=4; CIN3=3; Cervical cancers = 28. One replicate per array.
Project description:10 normal squamous cervical epitheilia samples, 7 high grade squamous intraepithelial lesions, and 21 invasive squamous cell carcinomas of the cervix samples were obtained using laser capture miicrodissection. Two rounds of T7-based linear RNA amplification using the Arcturus RiboAmp kit were performed for each sample, and assayed using Affymetrix HG_U133A arrays. Keywords: disease state analysis
Project description:CircRNAs have been found to regulate mRNA expression levels and serve an important role in cervix carcinogenesis. To explore the circRNA expression profiles during the development and progression of cervical cancer, we performed microarray analysis with total RNA in normal cervical epithelium(n=7), HPV16 positive high-grade squamous intraepithelial lesion (HSIL)(n=6), and HPV16 positive cervical squamous cell carcinoma tissues(n=7).
Project description:Genome wide DNA methylation profiling of cervical cancer samples and normal tissue. The Illumina Infinium 450K Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles across approximately 450,000 CpGs in cervical cancer samples. Samples included 102 cervical cancer samples and 29 histologicall normal samples.
Project description:Background. MicroRNAs (miRNAs) are short (~22 nt) non-coding regulatory RNAs that control gene expression at the translational level. Deregulation of miRNA expression has been discovered in a wide variety of tumours and it is now clear that they contribute to cancer development and progression. This prompted the development of miRNA-chips for cancer diagnosis or prognosis, opening a new door to understand carcinogenesis. Cervical cancer is one of the most common cancers in women worldwide. Therefore, there is a strong need for a non-invasive, fast and efficient method to diagnose the disease. We investigated miRNA expression profiles in cervical cancer using a microarray platform developed in house containing probes for mature miRNAs. Results. We have evaluated miRNA expression profiles of a heterogeneous set of cervical tissues from 25 different patients. This set included 19 normal cervical tissues, 4 squamous cell carcinoma, 5 high-grade squamous intraepithelial lesion (HSIL) and 9 low-grade squamous intraepithelial lesion (LSIL) samples. We observed high variability in miRNA expression especially among normal cervical samples, which prevented us from obtaining a unique miRNA expression signature for this tumour type. However, miRNAs deregulation in malignant and pre-malignant cervical tissues was detected after tackling the high variability observed. We were also able to identify putative targets of relevant candidate miRNAs. Conclusions. Our results show that miRNA deregulation may play an important role in the malignant transformation of cervical squamous cells. In addition, deregulated miRNAs highlight new candidate targets allowing a better understanding of the molecular mechanism of this tumour type. In this study we used a common reference design experiment where the common reference used was a commercial RNA from normal cervix (Ambion) and the test samples were 4 pre-treatment squamous cell cervical carcinoma, 7 high-grade Squamous Intraepithelial Lesion (CINII, n=2 and CIN III, n=5) sample, 9 low-grade Squamous Intraepithelial Lesion (CIN I) samples, 19 normal cervix samples and 4 pools of normal cervix samples.
Project description:Utilizing methylation DNA immunoprecipitation (MeDIP) coupled with promoter tiling arrays, we analyzed the methylation profiles of pooled DNA from human cervical carcinoma and normal cervix
Project description:Utilizing methylation DNA immunoprecipitation (MeDIP) coupled with promoter tiling arrays, we analyzed the methylation profiles of pooled DNA from human cervical carcinoma and normal cervix Cervical carcinoma compaire with normal cervix