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Detection and Monitoring of Tumor Associated Circulating DNA in Patient Biofluids
Published on: June 8, 2019
Screening and Comprehensive Analysis of Cancer-Associated tRNA-Derived Fragments
Yiran Zhou1,2, Qinghua Cui1,2, Yuan Zhou1,2
1MOE Key Lab of Cardiovascular Sciences, Department of Biomedical Informatics, Center for Noncoding RNA Medicine, School of Basic Medical Sciences, Peking University, Beijing, China.
Abstract:
tRNA-derived fragments (tRFs) constitute a novel class of small non-coding RNA cleaved from tRNAs. In recent years, researches have shown the regulatory roles of a few tRFs in cancers, illuminating a new direction for tRF-centric cancer researches. Nonetheless, more specific screening of tRFs related to oncogenesis pathways, cancer progression stages and cancer prognosis is continuously demanded to reveal the landscape of the cancer-associated tRFs. In this work, by combining the clinical information recorded in The Cancer Genome Atlas (TCGA) and the tRF expression profiles curated by MINTbase v2.0, we systematically screened 1,516 cancer-associated tRFs (ca-tRFs) across seven cancer types. The ca-tRF set collectively combined the differentially expressed tRFs between cancer samples and control samples, the tRFs significantly correlated with tumor stage and the tRFs significantly correlated with patient survival. By incorporating our previous tRF-target dataset, we found the ca-tRFs tend to target cancer-associated genes and onco-pathways like ATF6-mediated unfolded protein response, angiogenesis, cell cycle process regulation, focal adhesion, PI3K-Akt signaling pathway, cellular senescence and FoxO signaling pathway across multiple cancer types. And cell composition analysis implies that the expressions of ca-tRFs are more likely to be correlated with T-cell infiltration. We also found the ca-tRF expression pattern is informative to prognosis, suggesting plausible tRF-based cancer subtypes. Together, our systematic analysis demonstrates the potentially extensive involvements of tRFs in cancers, and provides a reasonable list of cancer-associated tRFs for further investigations.
Insights
This study identified 1,516 cancer-associated tRNA-derived fragments (tRFs) linked to oncogenesis and patient survival across seven cancer types. These tRFs offer potential as biomarkers for cancer prognosis and therapeutic targets.
Area of Science:
- Molecular Biology
- Genomics
- Cancer Research
Background:
- tRNA-derived fragments (tRFs) are novel small non-coding RNAs with emerging roles in cancer.
- Previous research highlighted specific tRFs in cancer, but a comprehensive landscape of cancer-associated tRFs is needed.
Purpose of the Study:
- To systematically screen and identify cancer-associated tRFs (ca-tRFs) across multiple cancer types.
- To investigate the association of ca-tRFs with oncogenesis pathways, cancer progression, and patient prognosis.
Main Methods:
- Combined clinical data from The Cancer Genome Atlas (TCGA) with tRF expression profiles from MINTbase v2.0.
- Screened 1,516 ca-tRFs based on differential expression, correlation with tumor stage, and patient survival.
- Integrated tRF-target data to analyze targeted genes and pathways.
Main Results:
- Identified 1,516 ca-tRFs across seven cancer types, correlating with differential expression, tumor stage, and survival.
- Found ca-tRFs target key cancer-associated genes and pathways, including unfolded protein response, angiogenesis, and cell cycle regulation.
- Observed a correlation between ca-tRF expression and T-cell infiltration, and identified prognostic potential for tRF-based cancer subtyping.
Conclusions:
- This systematic analysis reveals extensive involvement of tRFs in cancer.
- Provides a valuable resource of ca-tRFs for further research into cancer mechanisms and biomarker development.

