Ontology highlight
ABSTRACT:
PROVIDER: PRJNA427217 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Human renal clear-cell carcinoma cells : control vs MUC1 overexpressing cells
| PRJNA214360 | ENA
Project description:Purpose: To identify tissue microRNAs predictive of sunitinib activity in patients with metastatic renal-cell carcinoma (MRCC) and to validate them in a cellular model. Selected microRNAs were studied in serum from MRCC patients and healthy individuals. Methods: We screened 673 microRNAs using TaqMan Low-density Arrays (TLDAs) in tumors from MRCC patients with extreme phenotypes of marked efficacy and resistance to sunitinib, selected from an identification cohort (n=41). Differentially expressed microRNAs were selected using bioinformatics-based target prediction analysis and quantified by qRT-PCR in tumors from patients presenting similar phenoytpes selected from an independent cohort (n=117). Results were validated in a cellular model of sunitinib resistance and studied in serum from healthy individuals and MRCC patients. Results: TLDAs identified 64 microRNAs differentially expressed in the identification cohort. Seven candidates were quantified by qRT-PCR in the independent series. MiR-942 was the most accurate predictor of sunitinib efficacy (p=0.0074). High expression of miR-942, miR-133a, miR484, and miR-628-5p was significantly associated with decreased time-to-progression and overall survival. These microRNAs were overexpressed in the sunitinib resistant cell line Caki-2 in comparison with the sensitive parental cell line. Serum levels of miR-942, miR-133a, miR-484, miR-146a-5p, miR-374a and miR-486-5p were significantly reduced in MRCC patients compared to healthy controls. Conclusions: Our strategy identified differentially expressed microRNAs in MRCC patients presenting marked sensitivity and resistance to sunitinib. Mir-942 was the best predictor of efficacy. Results were confirmed in a cellular model of sunitinib resistance. We also identified exosome derived serum microRNAs differentially expressed in MRCC patients and healthy individuals. Taqman Low Density Array for 6 FFPE tissues obtained from extreme phenotype MRCC patients, (n=3 marked resistance to sunitinib treatment patients and n=3 marked sensitivity to sunitinib treatment patients), was performanced to screen 667 microRNAs.
2014-09-30 | E-GEOD-37766 | biostudies-arrayexpress
Project description:Purpose: To identify tissue microRNAs predictive of sunitinib activity in patients with metastatic renal-cell carcinoma (MRCC) and to validate them in a cellular model. Selected microRNAs were studied in serum from MRCC patients and healthy individuals. Methods: We screened 673 microRNAs using TaqMan Low-density Arrays (TLDAs) in tumors from MRCC patients with extreme phenotypes of marked efficacy and resistance to sunitinib, selected from an identification cohort (n=41). Differentially expressed microRNAs were selected using bioinformatics-based target prediction analysis and quantified by qRT-PCR in tumors from patients presenting similar phenoytpes selected from an independent cohort (n=117). Results were validated in a cellular model of sunitinib resistance and studied in serum from healthy individuals and MRCC patients. Results: TLDAs identified 64 microRNAs differentially expressed in the identification cohort. Seven candidates were quantified by qRT-PCR in the independent series. MiR-942 was the most accurate predictor of sunitinib efficacy (p=0.0074). High expression of miR-942, miR-133a, miR484, and miR-628-5p was significantly associated with decreased time-to-progression and overall survival. These microRNAs were overexpressed in the sunitinib resistant cell line Caki-2 in comparison with the sensitive parental cell line. Serum levels of miR-942, miR-133a, miR-484, miR-146a-5p, miR-374a and miR-486-5p were significantly reduced in MRCC patients compared to healthy controls. Conclusions: Our strategy identified differentially expressed microRNAs in MRCC patients presenting marked sensitivity and resistance to sunitinib. Mir-942 was the best predictor of efficacy. Results were confirmed in a cellular model of sunitinib resistance. We also identified exosome derived serum microRNAs differentially expressed in MRCC patients and healthy individuals.
2014-09-30 | GSE37766 | GEO
Project description:Transcriptional profiling of human renal clear-cell carcinoma cells comparing control unexpressing MUC1 cells (82-F7 and 82-65 samples) with MUC1 overexpressing cells (83-2 and 83-5 samples)
2014-08-25 | GSE49594 | GEO
Project description:Investigation of whole genome gene expression level changes in laryngeal squamous carcinoma cell line TU177 in response to overexpressed miR-145-5p. Differentially expressed protein-coding genes in the human laryngeal squamous carcinoma cells TU177 overexpressing miR-145-5p were identified by microarray analysis.
2017-12-31 | GSE92678 | GEO
Project description:To identify target genes of oncogenic or tumor suppressive microRNAs in human cancer, several cell lines (bladder cancer, prostate cancer, renal cell carcinoma. lung squamous cell carcinoma and head and neck squamous cell carcinoma) were subject to Agilent whole genome microarray. miR-183 and miR-96 function as oncogene. miR-1, miR-133a, miR-135a, miR-145 and miR-375 function as tumor suppressor
2012-02-09 | GSE26032 | GEO
Project description:To identify target genes of tumor suppressive microRNAs in human cancer, several cell lines (bladder cancer, prostate cancer, renal cell carcinoma, and head and neck squamous cell carcinoma) were subjected to Agilent whole genome microarrays. miR-517a, miR-218, miR-145, miR-1 and miR-874 function as tumor suppressors.
2012-02-09 | GSE24782 | GEO
Project description:To identify target genes of oncogenic or tumor suppressive microRNAs in human cancer, several cell lines (bladder cancer, prostate cancer, renal cell carcinoma. lung squamous cell carcinoma and head and neck squamous cell carcinoma) were subject to Agilent whole genome microarray. miR-183 and miR-96 function as oncogene. miR-1, miR-133a, miR-135a, miR-145 and miR-375 function as tumor suppressor The miRNA transfected human cancer cell lines (KK47, T24, A498, PC3, DU145, FaDu, SAS, PC10 and H157) were compared to control cell lines.
2012-02-09 | E-GEOD-26032 | biostudies-arrayexpress
Project description:To identify target genes of tumor suppressive microRNAs in human cancer, several cell lines (bladder cancer, prostate cancer, renal cell carcinoma, and head and neck squamous cell carcinoma) were subjected to Agilent whole genome microarrays. miR-517a, miR-218, miR-145, miR-1 and miR-874 function as tumor suppressors. Human cancer cell lines (BOY, T24, A498, PC3, DU145, FaDu, SAS, HSC3, IMC3) were transfected with miRNAs (miR-517a, miR-218, miR-145, miR-1, miR-874). The miRNA-transfected human cancer cell lines were compared to control cell lines.
2012-02-09 | E-GEOD-24782 | biostudies-arrayexpress
Project description:To identify target genes of cancer-related microRNAs in human cancer, several cell lines (bladder cancer, prostate cancer, renal cell carcinoma, esophageal squamous cell carcinoma, and head and neck squamous cell carcinoma) were subjected to Agilent whole genome microarrays. Human cancer cell lines (BOY, T24, A498, 786-O, caki-1, LNCap, PC3, TE2, T.Tn, FaDu, SAS, HSC3, and IMC-3) were transfected with miRNAs (miR-375, miR-145, miR-200a, miR-200b, miR-200c, miR-141, miR-429, miR-138, miR-218, miR-874, miR-31, miR-222, miR-1285, and miR-206) or siRNAs (si-FOXA1_1, si-FOXA1_3, and si-TAGLN2). The miRNA-transfected human cancer cell lines were compared to control cell lines.
2012-11-12 | E-GEOD-37119 | biostudies-arrayexpress