Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: GSE10939
PROVIDER: PRJNA107251 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Plasma samples from 100 early stage (I to IIIA) non–small-cell lung cancer (NSCLC) patients and 100 non-cancer controls were screened for 754 circulating microRNAs via qRT-PCR, using TaqMan MicroRNA Arrays. Our objective was to identify a panel of circulating microRNAs in plasma that will contribute to early detection of lung cancer.
2015-12-31 | GSE64591 | GEO
Project description:We used CCK-8 experiment to determine the chemotherapy tolerance of small cell lung cancer cells, from which we found chemotherapy-sensitive cells (H446) and chemotherapy-tolerant cells (SHP77).By RNA-SEQ, we found 99 miRNAs with abnormal expression associated with chemotherapy tolerance, including 69 up-regulated miRNAs and 30 down-regulated miRNAs. Several miRNAs related to chemotherapy tolerance of small cell lung cancer were found through qRT-PCR verification, which helped us to further clarify the mechanism of chemotherapy tolerance of small cell lung cancer.
2023-06-30 | GSE193853 | GEO
Project description:We used CCK-8 experiment to determine the chemotherapy tolerance of small cell lung cancer cells, from which we found chemotherapy-sensitive cells (H446) and chemotherapy-tolerant cells (SHP77). By RNA-SEQ, we found 972 mRNAs with abnormal expression associated with chemotherapy tolerance, including 560 up-regulated mRNAs and 412 down-regulated mRNAs. Several miRNAs related to chemotherapy tolerance of small cell lung cancer were found through qRT-PCR verification, which helped us to further clarify the mechanism of chemotherapy tolerance of small cell lung cancer.
2023-06-30 | GSE193852 | GEO
Project description:We used CCK-8 experiment to determine the chemotherapy tolerance of small cell lung cancer cells, from which we found chemotherapy-sensitive cells (H446) and chemotherapy-tolerant cells (SHP77).By RNA-SEQ, we identified 401 circRNAs with abnormal expression associated with chemotherapy tolerance, including 212 up-regulated circRNAs and 189 down-regulated circRNAs. Through qRT-PCR verification, several circRNAs related to chemotherapy tolerance of small cell lung cancer were found, which helped us to further clarify the mechanism of chemotherapy tolerance of small cell lung cancer.
2023-06-30 | GSE193851 | GEO
Project description:Gene expression in hypoxic non-small cell lung cancer
| PRJNA146187 | ENA
Project description:We investigated whether the miRNA expression could distinguish lung cancers from normal tissues, examining 116 pairs of primary lung cancers with their corresponding adjacent normal lung tissues collected a minimum of 5 cm from the tumor. Our analysis identified a five microRNA classifier could distinguish malignant lung cancer lesions from adjacent normal tissues. SCLC could be distinguished from non small lung cancer by microRNAs profiling. Survival associations were examined with the SCC and adenocarcinoma subtypes. High hsa-miR-31 expression was associated with poor survival in SCC, and the association was confirmed in 20 independent SCC patients by qRT-PCR assays. Overall these findings may help advance the use of microRNA profiling in personalized diagnosis of lung cancers. Key Words: microRNA; lung cancer; microarray; diagnosis; prognosis cancer vs adjacent normal tissues
2010-02-10 | E-GEOD-15008 | biostudies-arrayexpress
Project description:To identify potential markers for distinction of Small cell (SCLC) from large cell neuroendocrine (LCNEC) carcinoma, we have conducted the gene expression profiling on precisely isolated cancer cells and bronchial epithelial cells from these tumours and normal background lung. After statistical analysis and finding highly differentially expressed genes between these tumour groups, we performed qRT-PCR to delineate markers to test at protein level using immunohistochemistry. Markers showing statistical significance at qRT-PCR level were taken forward to stain tissue microarray sections of SCLC and LCNEC to further delineate markers. This resulted in identification of BAI3, CDX2, VIL1 and CD99 as potential candidates. These markers were then taken forward to stain whole sections of tumour sample available in house (University Hospitals Coventry and Warwickshire) which resulted in elimination of CD99. Thus, BAI3, CDX2 and VIL1 were taken further forward to stain tumour samples acquired externally in UK. Four Small cell lung carcinoma, four large cell neuroendocrine carcinoma and seven background lungs were laser microdissected and profiled on Agilent SurePrint G3 human gene expression 8x60K single channel array to identify potential markers for their classification and validated using qRT-PCR and immunohistochemistry.
2013-11-01 | E-GEOD-44447 | biostudies-arrayexpress