Dysregulation of miRNA in adenocarcinoma of the uterine cervix
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Hyun Park
PROVIDER: E-GEOD-55478 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
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:Background: As degradation of formalin-fixed paraffin-embedded (FFPE) samples limits ability to expression profile, we explored factors predicting success for FFPE profiling and investigated an approach overcoming this limitation. Methods: Bladder (n=141, stored 3-8 years) and cervix (n=160, stored 8-23 years) carcinoma FFPE samples were hybridised to Affymetrix Exon1.0ST arrays. Percent detection above background (%DABG) measured technical success. Biological signal was assessed by distinguishing cervix squamous cell carcinoma (SCC) and adenocarcinoma (AC) using a gene signature. Precursor mir-205 was measured by Exon array and mature miR-205 by qRT-PCR. Eight-old and -young cervix samples were compared using Affymetrix miRNA 2.0 arrays. For comparison, the 'cervix_tumour_cs1_113' (previsously submitted GSM677307) was included and re-analyzed with the samples from the current study (total 161 Cervix samples). Results: RNA quality controls (e.g. RNA integrity number) failed to predict profiling success, but sample age correlated with %DABG in bladder (R2=-0.30, p<0.01) and cervix (R2=-0.69, p<0.01). Biological signal was lost in older samples and neither a signature nor precursor mir-205 separated samples by histology. miR-205 qRT-PCR discriminated SCC from AC, validated by miRNA profiling (26-fold higher in SCC; p=1.10x10-5). Median miRNA probeset expression of eight-old and eight-young cervix samples correlated well (R2=0.95) overcoming the age-related bias of mRNA probesets, suggesting miR-205 stability generalises across microRNA. Conclusions: microRNA profiling overcomes the limitation of degraded FFPE samples 113 Cervix tumour FFPE samples hybridized to exon arrays
2012-07-03 | E-GEOD-39013 | biostudies-arrayexpress
Project description:Background: As degradation of formalin-fixed paraffin-embedded (FFPE) samples limits ability to expression profile, we explored factors predicting success for FFPE profiling and investigated an approach overcoming this limitation. Methods: Bladder (n=141, stored 3-8 years) and cervix (n=160, stored 8-23 years) carcinoma FFPE samples were hybridised to Affymetrix Exon1.0ST arrays. Percent detection above background (%DABG) measured technical success. Biological signal was assessed by distinguishing cervix squamous cell carcinoma (SCC) and adenocarcinoma (AC) using a gene signature. Precursor mir-205 was measured by Exon array and mature miR-205 by qRT-PCR. Eight-old and -young cervix samples were compared using Affymetrix miRNA 2.0 arrays. For comparison, the 'cervix_tumour_cs1_113' (previsously submitted GSM677307) was included and re-analyzed with the samples from the current study (total 161 Cervix samples). Results: RNA quality controls (e.g. RNA integrity number) failed to predict profiling success, but sample age correlated with %DABG in bladder (R2=-0.30, p<0.01) and cervix (R2=-0.69, p<0.01). Biological signal was lost in older samples and neither a signature nor precursor mir-205 separated samples by histology. miR-205 qRT-PCR discriminated SCC from AC, validated by miRNA profiling (26-fold higher in SCC; p=1.10x10-5). Median miRNA probeset expression of eight-old and eight-young cervix samples correlated well (R2=0.95) overcoming the age-related bias of mRNA probesets, suggesting miR-205 stability generalises across microRNA. Conclusions: microRNA profiling overcomes the limitation of degraded FFPE samples 48 Cervix tumour FFPE samples hybridised to exon arrays
2012-07-03 | E-GEOD-39014 | 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: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: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: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:Thiele2013 - Cervix uterine squamous epithelial cells
The model of cervix uterine squamous epithelial 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: MODEL1310110044
.
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 | MODEL1310110044 | BioModels
Project description:Background: As degradation of formalin-fixed paraffin-embedded (FFPE) samples limits ability to expression profile, we explored factors predicting success for FFPE profiling and investigated an approach overcoming this limitation. Methods: Bladder (n=141, stored 3-8 years) and cervix (n=160, stored 8-23 years) carcinoma FFPE samples were hybridised to Affymetrix Exon1.0ST arrays. Percent detection above background (%DABG) measured technical success. Biological signal was assessed by distinguishing cervix squamous cell carcinoma (SCC) and adenocarcinoma (AC) using a gene signature. Precursor mir-205 was measured by Exon array and mature miR-205 by qRT-PCR. Eight-old and -young cervix samples were compared using Affymetrix miRNA 2.0 arrays. For comparison, the 'cervix_tumour_cs1_113' (previsously submitted GSM677307) was included and re-analyzed with the samples from the current study (total 161 Cervix samples). Results: RNA quality controls (e.g. RNA integrity number) failed to predict profiling success, but sample age correlated with %DABG in bladder (R2=-0.30, p<0.01) and cervix (R2=-0.69, p<0.01). Biological signal was lost in older samples and neither a signature nor precursor mir-205 separated samples by histology. miR-205 qRT-PCR discriminated SCC from AC, validated by miRNA profiling (26-fold higher in SCC; p=1.10x10-5). Median miRNA probeset expression of eight-old and eight-young cervix samples correlated well (R2=0.95) overcoming the age-related bias of mRNA probesets, suggesting miR-205 stability generalises across microRNA. Conclusions: microRNA profiling overcomes the limitation of degraded FFPE samples
2012-07-04 | GSE39015 | GEO