Dataset Information

TRF&tiRNA sequencing of human PTC tissues and corresponding paracancer tissues

ABSTRACT: Purpose: To study the expression and potential significance of tRF and tiRNA in PTC (Papillary thyroid carcinoma) by sequencing tRF and tiRNA in PTC tissues and corresponding paracancer tissues of thyroid cancer patients. Methods: Four pairs of PTC tissues and paracancer tissues were collected. Small RNA sequencing was performed on Illumina NexSeq instrument. Results: If P ≤ 0.05, fold change > 1.5 as the cutoff, there were 27 up-regulated tRFs & tiRNAs and 20 down-regulated tRFs & tiRNAs. Conclusions: Among the differentially expressed tRFs & tiRNAs, tiRNA-1:34-Lys-CTT-2 and tRF-1:30-Gly-CCC-3 may be the potential novel regulatory factors.

ORGANISM(S): Homo sapiens

PROVIDER: GSE197438 | GEO | 2022/02/26

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:Context: Papillary thyroid cancer (PTC) is the most common thyroid cancer with dramatically increasing worldwide. Accurate diagnosis is crucial to avoid unnecessary overtreatment for low-risk patients, but the currently available markers are still insufficient. tRNA-derived fragments (tRFs) are emerging as a new class of small non-coding RNAs due to their potential roles as novel biomarkers and therapeutic targets in cancer. However, their involvement in papillary thyroid carcinoma (PTC) is still unclear. Objectives: This study was performed to identify differentially expressed tRFs in PTC and investigate the role of serum tRFs to discriminate PTC from nodular goiters (NGs).Methods and Materials: tRF expression profiles were measured in pooled sera from patients with PTCs (n=6), NGs (n=6) and healthy subjects (n=6) using high-throughput sequencing (cohort1). One selected tRF candidate was validated in the same individual samples (cohort1) by qRT-PCR. The confirmed tRF was further validated in a larger second cohort including patients with PTCs (n=30), NGs (n=20) and healthy individuals (n=18).Results: Our sequencing results showed that circulating tRFs were differentially expressed in patients with PTC compared with those with NG and healthy people. After the validation in individual samples, tRF-Pro-AGG-018 was confirmed as differentially elevated in serum samples of patients with PTC. These results were further confirmed in a larger second cohort. Moreover, tRF-Pro-AGG-018 exhibited good diagnostic performance with a sensitivity of 0.7222 and a specificity of 0.8846 for PTC and it was associated with several targeted genes of PTC. Conclusions: Our study identified that the serum tRFs were differentially expressed in PTC compared with NG and healthy individuals. Notably, circulating tRF-Pro-AGG-018 was found to have a significant elevation in patients with PTC and exhibited good diagnostic performance with relatively high sensitivity and specificity for PTC. Our findings suggest tRFs might serve as novel circulating biomarkers in predicting patients with PTC, which may prevent unnecessary thyroid surgeries for low-risk and benefit from optimal

Dataset Information

TRF&tiRNA sequencing of human PTC tissues and corresponding paracancer tissues

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure