Shimeng Liu, Yang Ou, Yi Zhu, Jianqi Li, Runze Jiang, Feng Zhao, Xinwei Wang
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引用次数: 0
Abstract
Colorectal cancer (CRC) progression involves complex genetic changes. This study examines circRNA expression in CRC to identify biomarkers for improved diagnosis and staging. The objective of this study is to explore the role of circular RNA (circRNA) in CRC progression and identify specific circRNA biomarkers. Using high-throughput circRNA chip technology, cancerous and adjacent tissues from three CRC patients (staged as T1-3N0M0) were analyzed to identify differentially expressed circRNAs. Bioinformatics analyses, including co-expression network construction, Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) annotations, were performed to evaluate circRNA function and pathways. A total of 404 differentially expressed circRNAs were identified, with significant variations between cancerous and adjacent tissues. Trend analysis revealed that circRNA expression decreased progressively with CRC advancement. Co-expression network analysis highlighted eight key circRNAs, including hsa_circ_0000007, associated with CRC progression. GO and KEGG analyses indicated these circRNAs are involved in ribosome biogenesis, metabolism, and the regulation of G1-S phase transcription through the RB1 gene. The expression of hsa_circ_0000007, hsa_circ_0023608, hsa_circ_0026694, and hsa_circ_0029903 decreased as CRC progressed, suggesting their potential as biomarkers for CRC diagnosis and staging. These findings offer insights into the molecular mechanisms underlying CRC progression.
期刊介绍:
Published since 1979, Biotechnology and Applied Biochemistry is dedicated to the rapid publication of high quality, significant research at the interface between life sciences and their technological exploitation.
The Editors will consider papers for publication based on their novelty and impact as well as their contribution to the advancement of medical biotechnology and industrial biotechnology, covering cutting-edge research in synthetic biology, systems biology, metabolic engineering, bioengineering, biomaterials, biosensing, and nano-biotechnology.