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Circulating Transfer RNA Related Fragment (tRF) Abundance After Experimental Endometriosis Induction in Baboons

ABSTRACT: Endometriosis is a chronic systemic disease affecting approximately 10–15% of women of reproductive age, often resulting in chronic pelvic pain and infertility. Despite its high prevalence, diagnosis is frequently delayed. Transfer RNA-derived fragments (tRFs) are an emerging class of small non-coding RNAs that have been implicated in gene regulation and various pathological processes but remain understudied in endometriosis. This study aimed to characterize temporal changes in circulating tRF abundance after experimentally induced endometriosis in a baboon model, with the goal of identifying non-invasive biomarkers for early disease detection. Endometriosis was induced in eight female baboons, and peripheral blood samples were collected at five time points: pre-inoculation and at 3-, 6-, 9-, and 15-months post-inoculation. RNA was extracted from serum samples and sequenced to profile tRF abundance. Differential expression analysis was performed using a linear modeling approach. Significant changes in tRFs were observed as early as three months after induction. Both upregulated and downregulated tRFs were identified at each time point. A ranking based on log fold change and adjusted p-values revealed the ten most significantly altered tRFs, none of which had been previously described in the context of endometriosis. These tRFs demonstrated consistent differential abundance throughout all time points. This is the first study to investigate circulating tRFs in endometriosis. There is a rapid induction of tRFs after the onset of endometriosis in the non-human primate model. Our longitudinal findings suggest that tRFs may serve as promising early biomarkers for endometriosis.

ORGANISM(S): Papio anubis

PROVIDER: GSE327533 | GEO | 2026/04/09

REPOSITORIES: GEO

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Project description:Background: Colorectal liver metastases (CRLM) are the leading cause of colorectal cancer (CRC)-related mortality. Transfer RNA-derived fragments (tRFs), a novel class of small non-coding RNAs (sncRNA), regulate gene expression, stress response, and immune functions in cancer. While tRFs are increasingly implicated in CRC progression, their prognostic significance in CRLM remains unknown. This study investigates the abundance and prognostic value of genomic (ge) and mitochondrial (mt) tRFs in CRLM. Methods: This single-center retrospective cohort study included all CRLM patients who underwent curative liver resection between January 2012 and December 2015. Small RNA sequencing (sRNA-seq) quantified ge- and mt-tRF expression in tumor samples. Event-free survival (EFS) was the primary outcome, and the impact of tRFs on EFS was assessed using Cox regression, spline modeling of the effects of tRFs on EFS, and network analysis. Results: Among 588 screened samples, 40 met eligibility criteria (18 females [45%], median age 64 [42-79]). A total of 432 tRFs were identified, with ge-tRFs (67%) being more abundant than mt-tRFs (33%). Using spline regressions, tRFs were classified into 10 ten prognostic groups. High ge-tRF abundance correlated predominantly with unfavorable EFS (FDR<0.2; 94%), whereas mt-tRFs were significantly (p<0.001; χ2 test) more often associated with favorable EFS (FDR<0.2; 26%). Network analysis of tRF abundance correlations revealed a significantly higher intra-mitochondrial network density compared to the intra-genomic tRF network. However, no significant differences in network structure were observed between prognostically significant vs. non-significant or favorable vs. unfavorable tRFs. Finally, key tRF candidates, such as tRHalve3-His-CAU (mt-tRF) or tRNAleader-Gln-UUG (mt-tRF) paired with tRFmisc-Tyr-GTA (ge-tRF), remained independent prognostic markers after adjustment for clinical covariates. Conclusion: This study provides the first comprehensive characterization of tRF expression in CRLM, revealing distinct prognostic roles for ge- and mt-tRFs. While ge-tRFs were predominantly associated with unfavorable prognosis, a subset of mt-tRFs demonstrated a favorable impact on EFS. These findings highlight the potential of tRFs as novel prognostic biomarkers and therapeutic targets in CRLM, warranting validation in prospective studies.

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

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Circulating Transfer RNA Related Fragment (tRF) Abundance After Experimental Endometriosis Induction in Baboons

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