Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: GSE10939
PROVIDER: PRJNA107251 | ENA |
REPOSITORIES: ENA
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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:<p>Non-small cell lung cancer is a malignant tumor with high morbidity and mortality worldwide. Eleutherococcus senticosus can induce apoptosis in non-small cell lung cancer cells, but the mechanism remains unclear. This study aimed to elucidate the role of Eleutherococcus senticosus in inducing apoptosis in non-small cell lung cancer cells and analyze its potential active constituents, targets and molecular mechanisms. The results of network pharmacology analysis showed that Eleutherococcus senticosus contained 49 active ingredients that induced apoptosis in non-small cell lung cancer cells, and these components could act on 66 apoptosis-related targets. Compared to the control group, Eleutherococcus senticosus significantly increased apoptosis in A549 cells with increasing concentration (p < 0.05). The results of transcriptome and metabolomic analyses showed that Eleutherococcus senticosus significantly changed 5836 genes and 418 metabolites in A549 cells (p < 0.05), with the most significant changes in 18 genes and 34 metabolites related to apoptosis. qRT-PCR and Western blot results showed that, after Eleutherococcus senticosus treatment, the mRNA and protein expression of EGFR, MAPK3, and ICAM1 significantly increased, while CTSK decreased (p < 0.01 or p < 0.001). Correlation analysis and molecular docking results indicated that calycanthoside and oleanolic acid can directly modify the expression levels of the transcription factors POU2F3, FOXS1 and TGIF2LY or indirectly influence the binding affinity of these transcription factors to the promoters of key target genes, ultimately leading to the activation of EGFR, MAPK3, ICAM1 and CTSK, which triggers apoptosis in non-small cell lung cancer cells.</p>
2025-05-12 | MTBLS10545 | MetaboLights
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: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.
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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
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Project description:The target sequecing vcf data of tumor and curculating tumor DNA for non-small cell lung cancer patients.
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