Construction and analysis of dysregulated lncRNA-associated ceRNA network in colorectal cancer

Yiping Zhu1,2, Yinzhu Bian3, Qun Zhang4

  • 1Comprehensive Cancer Center, Nanjing Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, Jiangsu, China.

Insights

This study reveals long noncoding RNA LINC00365 as an oncogene in colorectal cancer (CRC). It influences CRC progression by interacting with microRNAs (miRNAs) and messenger RNAs (mRNAs).

Area of Science:

  • Molecular Biology
  • Genetics
  • Oncology

Background:

  • Colorectal cancer (CRC) is a prevalent digestive system malignancy.
  • Understanding the complex molecular interactions in CRC is crucial for revealing disease mechanisms.

Purpose of the Study:

  • To investigate the intricate interactions among messenger RNAs (mRNAs), microRNAs (miRNAs), and long noncoding RNAs (lncRNAs) in colorectal cancer.
  • To identify key regulatory molecules involved in CRC pathogenesis.

Main Methods:

  • Differential gene expression analysis of public datasets to identify dysregulated mRNAs.
  • Coding-noncoding network analysis to pinpoint regulatory lncRNAs.
  • Validation of gene expression in clinical samples and cell lines.
  • Construction and analysis of a competing endogenous RNA (ceRNA) network.

Main Results:

  • Identified 1,081 common dysregulated mRNAs, suggesting their significant roles in CRC.
  • LINC00365 was identified as a significantly upregulated long noncoding RNA in CRC tissues and cell lines.
  • A ceRNA network involving LINC00365, 70 miRNAs, and 9 mRNAs was constructed.
  • Eight of the nine mRNAs in the network were validated as upregulated in The Cancer Genome Atlas (TCGA) dataset.

Conclusions:

  • LINC00365 functions as an oncogene in colorectal cancer.
  • LINC00365 may regulate multiple mRNA targets by sponging specific miRNAs, contributing to CRC development.

Related Concept Videos

lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
10.0K
lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

3.7K
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.5K
Protein Networks02:26

Protein Networks

2.9K
Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
773
Network Covalent Solids02:18

Network Covalent Solids

Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.2K