Evidence map›Paper›PMID 39145073›Full record

ArticleTranslational cancer research2024

Expression profiles of serum transfer RNA-derived fragments and their potential roles in non-small cell lung cancer.

Yulan Song, Jipeng Li

Abstract read
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Article in Translational cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Yulan SongBlood Purification Center, The Affiliated People's Hospital of Ningbo University, Ningbo, China.
Jipeng LiDepartment of Central Laboratory, The Affiliated People's Hospital of Ningbo University, Ningbo, China.ORCID https://orcid.org/0000-0001-5091-8432

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Non-small cell lung cancer (NSCLC) is one of the malignant tumors with the highest morbidity and mortality in the world. Early diagnosis can significantly improve the prognosis of patients. Transfer RNA (tRNA)-derived fragments (tRFs) have been found to have a crucial function in the pathophysiology of cancers. However, the role of tRFs/tRNA halves (tiRNAs) in NSCLC is yet unknown. The present study aimed to investigate unique expression profiles of tRFs/tiRNAs in NSCLC and search novel biomarkers for the diagnosis. Methods: RNA-sequencing was utilized for determining differently expressed tRFs/tiRNAs in serum in NSCLC and healthy controls. Stem-loop quantitative polymerase chain reaction (PCR) was used to confirm the selected tRFs/tiRNAs expressions. Their possible roles in NSCLC were predicted using bioinformatic research. Results: Eleven up-regulated tRFs/tiRNAs and 18 down-regulated tRFs/tiRNAs were determined. Levels of tRF-31-87R8WP9N1EWJ0 and tRF-31-79MP9P9NH57SD were significantly higher in NSCLC serum samples than those of healthy controls; the receiver operating characteristic (ROC) curve suggested that they could serve as new diagnostic biomarkers. Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis hinted that tRF-31-87R8WP9N1EWJ0 and tRF-31-79MP9P9NH57SD might influence the development and manifestation of NSCLC. Conclusions: In NSCLC patients' serum, the tRFs/tiRNAs were abnormally regulated and that tRF-31-87R8WP9N1EWJ0 and tRF-31-79MP9P9NH57SD might be the potential biological markers for NSCLC.

Indexed as

biomarkerNon-small cell lung cancer (NSCLC)serumtransfer RNA-derived fragments (tRFs)

Identifiers

PMID39145073
PMCPMC11322679

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