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lncRNA - Long Non-coding RNAs

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...

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A Blood-based Test for the Detection of ROS1 and RET Fusion Transcripts from Circulating Ribonucleic Acid Using Digital Polymerase Chain Reaction

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Published on: April 5, 2018

Diagnostic and prognostic values of tsRNAs in lung cancer: a meta-analysis.

Cheng Tang¹, Su-Xia Sun¹, Chao Gu²

¹Department of Respiratory Medicine, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China.

|January 28, 2025

Summary

This summary is machine-generated.

High levels of tRNA-derived small RNAs (tsRNAs) show potential as biomarkers for diagnosing lung cancer (LC) and predicting patient prognosis. Further research is needed to confirm these findings.

Keywords:

Diagnostic Lung cancer Meta-analysis Prognostic tsRNAs

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Area of Science:

Biomarkers
Molecular Oncology
Diagnostic Accuracy

Background:

Lung cancer (LC) is a leading cause of cancer mortality worldwide.
tRNA-derived small RNAs (tsRNAs) are emerging as critical players in LC development.
Investigating tsRNAs as novel biomarkers for LC is essential.

Purpose of the Study:

To evaluate the diagnostic and prognostic value of differentially expressed tsRNAs in lung cancer.
To conduct a meta-analysis of existing studies on tsRNAs in LC.

Main Methods:

Systematic literature search of PubMed and Web of Science up to January 10, 2024.
Meta-analysis using diagnostic odds ratios (DORs) and area under the receiver operating characteristic curve (AUCs) for diagnosis.
Hazard ratios (HRs) and 95% confidence intervals (95% CIs) were used for prognostic analysis.

Main Results:

Twelve studies were included, indicating tsRNAs have diagnostic potential for LC (combined DOR=7.32, AUC=0.81).
Serum tsRNA levels demonstrated strong diagnostic efficacy (DOR=16.56, AUC=0.88).
Elevated tsRNA levels were significantly associated with poorer LC patient prognosis (HR=1.59, 95% CI: 1.33-1.90).

Conclusions:

High tsRNA levels show promise for both diagnosing lung cancer and predicting patient outcomes.
Further high-quality studies are warranted to validate these findings and clinical utility.