Research on the Therapeutic Effect of Qizhu Anti Cancer Recipe on Colorectal Cancer Based on RNA Sequencing Analysis.

IF 1.6 4区医学 Q4 BIOCHEMICAL RESEARCH METHODS Combinatorial chemistry & high throughput screening Pub Date : 2024-11-04 DOI:10.2174/0113862073322752241016110001

Pingping Zhai, Xueshen Qian, Guangyao Liu, Jingjing Wang, Lei Xie, Decai Tang

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Abstract

Background: Colorectal cancer is one of the common malignant tumors in clinical practice, and traditional Chinese medicine, as an important adjuvant treatment method, plays important roles in the treatment of malignant tumors.

Objective: This study aims to explore the mechanism of action of the Qizhu anti-cancer recipe on colorectal cancer through transcriptome sequencing.

Methods: The control group and Qizhu anti-cancer recipe group were established separately, and sequencing of the cells of the two groups was performed using the Illumina sequencing platform. Two sets of Differentially Expressed Genes (DEGs) were screened using the DESeq2 algorithm, and Principal Component Analysis (PCA), Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Reactome, Disease Ontology (DO), and Protein-Protein Interaction (PPI) were used to comprehensively analyze the molecular functions and signaling pathways enriched by DEGs.

Result: A total of 122 DEGs were identified through differential analysis, including 24 upregulated genes and 98 downregulated genes. GO analysis showed that DEGs were mainly enriched in functions such as alkaline phase activity, ion transport, cell differentiation, etc.; KEGG analysis showed that DEGs were mainly enriched in pathways such as Thiamine metabolism, apoptosis, signaling pathways regulating pluripotency of stem cells, cellular senescence and so on. Reactom analysis showed that DEGs were mainly enriched in response pathways such as EGR1,2,3 bind to the NAB2 promoter, EGR binds ARC gene, EGR-dependent NAB2 gene expression, etc.; DO analysis showed that differentially expressed genes were mainly enriched in diseases such as disease of cellular proliferation, disease of anatomical entity, organ system cancer, etc.; PPI analysis identified key differentially expressed genes, including DDIT3, CHAC1, TRIB3, and ASNS.

Conclusion: Based on transcriptome sequencing and bioinformatics analysis, it was found that the Qizhu anti-cancer recipe may involve DEGs and signaling pathways in the treatment of colorectal cancer. Our study may provide potential drug targets for developing new treatment strategies for colorectal cancer.

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基于RNA测序分析的杞菊抗癌方对结直肠癌疗效研究

背景：大肠癌是临床常见的恶性肿瘤之一，中医药作为重要的辅助治疗手段，在恶性肿瘤治疗中发挥着重要作用：结直肠癌是临床上常见的恶性肿瘤之一，中医药作为一种重要的辅助治疗方法，在恶性肿瘤的治疗中发挥着重要作用：本研究旨在通过转录组测序探讨杞菊抗癌方对结直肠癌的作用机制：方法：分别设立对照组和杞菊抗癌方组，利用Illumina测序平台对两组细胞进行测序。采用DESeq2算法筛选两组差异表达基因（DEGs），并利用主成分分析（PCA）、基因本体（GO）、京都基因组百科全书（KEGG）、反应组（Reactome）、疾病本体（DO）和蛋白-蛋白相互作用（PPI）等方法全面分析DEGs富集的分子功能和信号通路：结果：通过差异分析共鉴定出122个DEGs，包括24个上调基因和98个下调基因。GO分析表明，DEGs主要富集在碱性相活动、离子转运、细胞分化等功能中；KEGG分析表明，DEGs主要富集在硫胺素代谢、细胞凋亡、调控干细胞多能性的信号通路、细胞衰老等通路中。Reactom分析表明，DEGs主要富集在EGR1,2,3结合NAB2启动子、EGR结合ARC基因、EGR依赖NAB2基因表达等反应通路中；DO分析表明，差异表达基因主要富集在细胞增殖疾病、解剖实体疾病、器官系统癌症等疾病中；PPI分析发现了DDIT3、CHAC1、TRIB3和ASNS等关键差异表达基因：结论：基于转录组测序和生物信息学分析发现，杞菊抗癌方可能涉及治疗结直肠癌的DEGs和信号通路。我们的研究可能为开发新的结直肠癌治疗策略提供潜在的药物靶点。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Combinatorial chemistry & high throughput screening 化学-生化研究方法

CiteScore

3.10

自引率

5.60%

发文量

327

审稿时长

7.5 months

期刊介绍： Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.