Heterogenous chemosensitivity of a panel of organoid lines derived from small cell neuroendocrine carcinoma of the uterine cervix
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ABSTRACT:
PROVIDER: PRJNA690010 | ENA |
REPOSITORIES: ENA
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Project description:Small cell neuroendocrine carcinoma (SCNEC) of the uterine cervix is a rare disease with a poor prognosis. The lack of established disease models has hampered therapy development. We established a panel of organoid from patients of SCNEC of the uterine cervix. Sensitivity assays against clinically used drugs revealed remarkable variations between the lines, and we successfully identified specific gene sets which likely contribute to the sensitivity to the tested drugs. Of note, we found one line which was exceptionally sensitive to irinotecan, and investigated the mode of action in the case. Chemotherapeutic drug sensitivity assays using SCNEC CTOS lines obtained from primary patient samples with a high success rate may provide useful information for treating SCNEC.
2021-01-07 | GSE164329 | GEO
Project description:We identified an altered miRNA expression in adenocarcinoma of the uterine cervix compared with normal cervix and futhermore analyzed their association with clinicopthologic characteristics.
2014-03-01 | GSE55478 | GEO
Project description:We identified an altered miRNA expression in adenocarcinoma of the uterine cervix compared with normal cervix and futhermore analyzed their association with clinicopthologic characteristics. miRNA expression was measured in four cancerous tissues from the cervical adenocarcinoma and four non-cancerous from the normal uterine cerivx respectively, all of which were obtained from different donors.
2014-03-01 | E-GEOD-55478 | biostudies-arrayexpress
Project description:Vaginal microbiota, cervix microbiota, uterine microbiota Raw sequence reads
| PRJNA774109 | ENA
Project description:The Illumina Infinium 27k Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles across approximately 27,000 CpGs in normal and cancer tissue from the uterine cervix. There are a total of 63 samples, 15 samples of normal histology and 48 cervical cancers. The normal cervical samples were from women who underwent a hysterectomy for uterine fibroids. The 48 cervical cancers were from women who were treated at the Innsbruck Medical University between 1990 and 2006.
2012-02-23 | GSE30759 | GEO
Project description:Thiele2013 - Cervix uterine glandular cells
The model of cervix uterine glandular cells metabolism is derived from the community-driven global reconstruction of human metabolism (version 2.02, MODEL1109130000
).
This model is described in the article:
A community-driven global reconstruction of human metabolism.
Thiele I, et al
.
Nature Biotechnology
Abstract:
Multiple models of human metabolism have been reconstructed, but each represents only a subset of our knowledge. Here we describe Recon 2, a community-driven,
consensus 'metabolic reconstruction', which is the most comprehensive representation of human metabolism that is applicable to computational modeling. Compared
with its predecessors, the reconstruction has improved topological and functional features, including ~2x more reactions and ~1.7x more unique metabolites. Using
Recon 2 we predicted changes in metabolite biomarkers for 49 inborn errors of metabolism with 77% accuracy when compared to experimental data. Mapping metabolomic
data and drug information onto Recon 2 demonstrates its potential for integrating and analyzing diverse data types. Using protein expression data, we automatically
generated a compendium of 65 cell type-specific models, providing a basis for manual curation or investigation of cell-specific metabolic properties. Recon 2 will
facilitate many future biomedical studies and is freely available at http://humanmetabolism.org/.
This model is hosted on BioModels Database
and identified by: MODEL1310110026
.
To cite BioModels Database, please use: BioModels Database: An enhanced,
curated and annotated resource for published quantitative kinetic models
.
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer
to CC0 Public Domain Dedication
for more information.
2005-01-01 | MODEL1310110026 | BioModels
Project description:In an effort to develop a genomics-based approach to the prediction of drug response, we have developed an algorithm for classification of cell line chemosensitivity based on gene expression profiles alone. Using oligonucleotide microarrays, the expression levels of 6,817 genes were measured in a panel of 60 human cancer cell lines (the NCI-60) for which the chemosensitivity profiles of thousands of chemical compounds have been determined. We sought to determine whether the gene expression signatures of untreated cells were sufficient for the prediction of chemosensitivity. Gene expression-based classifiers of sensitivity or resistance for 232 compounds were generated and then evaluated on independent sets of data. The classifiers were designed to be independent of the cells' tissue of origin. The accuracy of chemosensitivity prediction was considerably better than would be expected by chance. Eighty-eight of 232 expression-based classifiers performed accurately (with P < 0.05) on an independent test set, whereas only 12 of the 232 would be expected to do so by chance. These results suggest that at least for a subset of compounds genomic approaches to chemosensitivity prediction are feasible. golub-00299 Assay Type: Gene Expression Provider: Affymetrix Array Designs: Hu6800 Organism: Homo sapiens (ncbitax) Tissue Sites: Kidney, Brain, Blood, Lung, Skin, Colon, Breast, Prostate, Ovary Material Types: cell, synthetic_RNA, whole_organism, total_RNA Disease States: Carcinoma, Glioblastoma, Lymphoma, Adenocarcinoma, Melanoma, Amelanotic Melanoma, Large Cell Carcinoma, Precursor Lymphoblastic Leukemia, Carcinosarcoma, Myeloid Leukemia, Plasma Cell Myeloma, Bronchogenic Carcinoma, Chronic Myelogenous Leukemia, Squamous Cell Carcinoma
2015-05-16 | E-GEOD-68936 | biostudies-arrayexpress
Project description:The Illumina Infinium 27k Human DNA methylation Beadchip v1.2 was used to obtain DNA methylation profiles across approximately 27,000 CpGs in normal and cancer tissue from the uterine cervix. There are a total of 63 samples, 15 samples of normal histology and 48 cervical cancers. The normal cervical samples were from women who underwent a hysterectomy for uterine fibroids. The 48 cervical cancers were from women who were treated at the Innsbruck Medical University between 1990 and 2006. Bisulphite converted DNA from the 63 samples were hybridised to the Illumina Infinium 27k Human Methylation Beadchip v1.2
2012-02-23 | E-GEOD-30759 | biostudies-arrayexpress
Project description:In an effort to develop a genomics-based approach to the prediction of drug response, we have developed an algorithm for classification of cell line chemosensitivity based on gene expression profiles alone. Using oligonucleotide microarrays, the expression levels of 6,817 genes were measured in a panel of 60 human cancer cell lines (the NCI-60) for which the chemosensitivity profiles of thousands of chemical compounds have been determined. We sought to determine whether the gene expression signatures of untreated cells were sufficient for the prediction of chemosensitivity. Gene expression-based classifiers of sensitivity or resistance for 232 compounds were generated and then evaluated on independent sets of data. The classifiers were designed to be independent of the cells' tissue of origin. The accuracy of chemosensitivity prediction was considerably better than would be expected by chance. Eighty-eight of 232 expression-based classifiers performed accurately (with P < 0.05) on an independent test set, whereas only 12 of the 232 would be expected to do so by chance. These results suggest that at least for a subset of compounds genomic approaches to chemosensitivity prediction are feasible.
2015-05-16 | GSE68936 | GEO
Project description:The aim of this study was to identify hormonally regulated genes and their related biological pathways in the rhesus macaque cervix during the menstrual cycle. The cervix is the gateway for gamete passage, which is driven by hormonal regulation with progesterone (P) suppressing the passage of gametes. Contraceptives that are progesterone based change the cervix. Progestogen only contraception is reported to act by suppressing ovulation and/or altering cervical mucus secretion. In order to further investigate novel contraceptive targets and their pathways, a microarray was used to discover genes in the cervix that are suppressed under varying lengths of exposure to progesterone throughout an artificial menstrual cycle.
2018-02-13 | GSE110476 | GEO