2023 World Conference on Lung Cancer (Posters)-EP03.05. Identification of Oncogenic Non-coding Regions Inducing the ANKZF1 Expression in Lung Cancer by a Multi-omics Website Omics3D

EP03.05. Identification of Oncogenic Non-coding Regions Inducing the ANKZF1 Expression in Lung Cancer by a Multi-omics Website Omics3D - PDF(Slides)

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Researchers at Zhejiang University in China have developed a website called Omics3D that displays a multi-omics database generated from seven different cancer types. They used this website to identify oncogenic non-coding regions that induce the expression of a gene called ANKZF1 in lung cancer. Non-coding regions, which do not contain genes that produce proteins, have been found to play a role in tumorigenesis in some types of cancer. However, their functions in lung cancer development are not well understood due to a lack of adequate tools for omics analyses.<br /><br />The researchers used various techniques including RNA sequencing (RNA-Seq), assay for transposase-accessible chromatin with high-throughput sequencing (ATAC-Seq), chromosome conformation capture (Hi-C), and chromatin immunoprecipitation sequencing (ChIP-Seq) to analyze the transcriptome, open chromatin regions, chromatin loops, and binding of RNA polymerase II on the promoter region, respectively. They then performed Kaplan-Meier survival analysis to predict the correlation between ANKZF1 expression and the prognosis of lung cancer patients.<br /><br />By identifying the oncogenic non-coding regions that regulate ANKZF1 expression, the researchers provided potential therapeutic targets for treating lung cancer. They suggested that inhibiting the ANKZF1 expression by targeting the regulators of these non-coding regions could be a promising approach. The research was supported by funding from the Natural Science Foundation and the Development Fund for Regenerative Medicine at Zhejiang University.<br /><br />In conclusion, the researchers utilized the Omics3D website to identify non-coding regions that induce the expression of ANKZF1 in lung cancer. This finding could potentially lead to the development of targeted therapies for the treatment of this disease. The study highlights the importance of understanding the role of non-coding regions in cancer development and the potential for using omics analysis to reveal new therapeutic targets.

Asset Subtitle

Chen Lian

Meta Tag

Speaker Chen Lian

Topic Tumor Biology: Translational Biology - Omics and New Technologies

Keywords

Omics3D

cancer types

oncogenic non-coding regions

gene expression

ANKZF1

lung cancer

tumorigenesis

omics analyses

RNA sequencing

non-coding regions