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Updated: Oct 28, 2025

Analysis of Combinatorial miRNA Treatments to Regulate Cell Cycle and Angiogenesis
Published on: March 30, 2019
Integrated whole transcriptome and small RNA analysis revealed multiple regulatory networks in colorectal cancer
Hibah Shaath1,2, Salman M Toor1, Mohamed Abu Nada3
1College of Health and Life Sciences, Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), Doha, Qatar.
Abstract:
Colorectal cancer (CRC) remains a global disease burden and a leading cause of cancer related deaths worldwide. The identification of aberrantly expressed messenger RNA (mRNA), long non-coding RNA (lncRNA), and microRNA (miRNA), and the resulting molecular interactions and signaling networks is essential for better understanding of CRC, identification of novel diagnostic biomarkers and potential development of therapeutic interventions. Herein, we performed microRNA (miRNA) sequencing on fifteen CRC and their non-tumor adjacent tissues and whole transcriptome RNA-Seq on six paired samples from the same cohort and identified alterations in miRNA, mRNA, and lncRNA expression. Computational analyses using Ingenuity Pathway Analysis (IPA) identified multiple activated signaling networks in CRC, including ERBB2, RABL6, FOXM1, and NFKB networks, while functional annotation highlighted activation of cell proliferation and migration as the hallmark of CRC. IPA in combination with in silico prediction algorithms and experimentally validated databases gave insight into the complex associations and interactions between downregulated miRNAs and upregulated mRNAs in CRC and vice versa. Additionally, potential interaction between differentially expressed lncRNAs such as H19, SNHG5, and GATA2-AS1 with multiple miRNAs has been revealed. Taken together, our data provides thorough analysis of dysregulated protein-coding and non-coding RNAs in CRC highlighting numerous associations and regulatory networks thus providing better understanding of CRC.
Insights
This study reveals key molecular players in colorectal cancer (CRC) by analyzing messenger RNA (mRNA), long non-coding RNA (lncRNA), and microRNA (miRNA) expression. Findings illuminate complex regulatory networks crucial for understanding CRC progression and developing new therapies.
Area of Science:
- Oncology
- Molecular Biology
- Genomics
Background:
- Colorectal cancer (CRC) is a major global health challenge, necessitating deeper molecular insights for improved diagnostics and therapeutics.
- Understanding the roles of non-coding RNAs (ncRNAs) like microRNAs (miRNAs) and long non-coding RNAs (lncRNAs) alongside messenger RNAs (mRNAs) is critical for CRC research.
Purpose of the Study:
- To comprehensively analyze the dysregulated expression of mRNA, lncRNA, and miRNA in colorectal cancer tissues.
- To elucidate the complex molecular interactions and signaling networks underlying CRC pathogenesis.
- To identify potential novel biomarkers and therapeutic targets for colorectal cancer.
Main Methods:
- Performed miRNA sequencing on 15 paired CRC and adjacent non-tumor tissues.
- Conducted whole transcriptome RNA-Seq on 6 paired samples.
- Utilized Ingenuity Pathway Analysis (IPA), in silico prediction, and validated databases for computational analysis.
Main Results:
- Identified significant alterations in miRNA, mRNA, and lncRNA expression profiles in CRC.
- Revealed activated signaling networks (e.g., ERBB2, RABL6, FOXM1, NFKB) and highlighted cell proliferation and migration as key CRC hallmarks.
- Uncovered intricate interactions between differentially expressed miRNAs, mRNAs, and lncRNAs (e.g., H19, SNHG5, GATA2-AS1).
Conclusions:
- The study provides a detailed analysis of dysregulated non-coding and protein-coding RNAs in CRC.
- Elucidated numerous associations and regulatory networks, enhancing the understanding of colorectal cancer biology.
- Offers insights into potential diagnostic biomarkers and therapeutic strategies for CRC.
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