Evaluation of serum tRF-23-Q99P9P9NDD as a potential biomarker for the clinical diagnosis of gastric cancer

Identification of serum tRNA-derived small RNAs biosignature for diagnosis of tuberculosis

The tRNA-derived small RNAs (tsRNAs) are a new class of non coding RNAs, which are stable in body fluids and can be used as potential biomarkers for disease diagnosis. However, the exact value of tsRNAs in the diagnosis of tuberculosis (TB) is still unclear. The objective of the present study was to evaluate the performance of the serum tsRNAs biosignature to distinguish between active TB, healthy controls, latent TB infection, and other respiratory diseases. The differential expression profiles of tsRNAs in serum from active TB patients and healthy controls were analyzed by high-throughput sequencing. A total of 905 subjects were prospectively recruited for our study from three different cohorts. Levels of tsRNA-Gly-CCC-2, tsRNA-Gly-GCC-1, and tsRNA-Lys-CTT-2-M2 were significantly elevated in the serum of TB patients compared to non-TB individuals, showing a correlation with lung injury severity and acid-fast bacilli grades in TB patients. The accuracy of the three-tsRNA biosignature for TB diagnosis was evaluated in the training (n = 289), test (n = 124), and prediction (n = 292) groups. By utilizing cross-validation with a random forest algorithm approach, the training cohort achieved a sensitivity of 100% and specificity of 100%. The test cohort exhibited a sensitivity of 75.8% and a specificity of 91.2%. Within the prediction group, the sensitivity and specificity were 73.1% and 92.5%, respectively. The three-tsRNA biosignature generally decreased within 3 months of treatment and then remained stable. In conclusion, the three-tsRNA biosignature might serve as biomarker to diagnose TB and to monitor the effectiveness of treatment in a high-burden TB clinical setting.

tRF-3019A/STAU1/BECN1 axis promotes autophagy and malignant progression of colon cancer

BACKGROUND

Tumor incidence, progression, and metastasis may be linked to the aberrant levels of novel non-coding RNA tRNA-derived fragments (tRFs). Uncertainty surrounds the role and possible mechanism of tRF-3019 A in causing colon cancer to proceed malignantly.

METHODS

By using qRT-PCR, transcription levels of tRF-3019 A were found in colon cancer cell lines and clinical samples. Locked nucleic acid (LNA)-tRF-3019 A or small molecule mimic was utilized to control the levels of tRF-3019 A in cells, and the CCK8 test was employed to assess the cells' capacity for proliferation. The rate of cell migration and invasiveness were assessed using the Transwell Assay. GFP-LC3B formation was seen using fluorescence microscopy, and autophagy-related protein expression was found using western blot analysis. The interactions between STAU1 and BECN1 and between tRF-3019 A and STAU1 were confirmed by RNA pull-down assay and RNA immunoprecipitation analyses. The mRNA and protein expression of STAU1 and BECN1 were found using qRT-PCR and western blot (WB). A xenograft tumor model was constructed to observe the growth of mouse tumors. qRT-PCR was used to detect the transcription levels of tRF-3019 A, STAU1, and BECN1, while WB was used to detect the expression of STAU1, BECN1, autophagy-related proteins, and epithelial-mesenchymal transition (EMT) -related proteins in tumor tissues.

RESULTS

In colon cancer tissues and cells, tRF-3019 A was overexpressed, and by triggering autophagy, it may encourage cell division, migration, and invasion. From a mechanistic perspective, tRF-3019 A competitively bound to the STAU1 protein with BECN1 mRNA, thereby enhancing the stable expression of the autophagy-related protein BECN1. In the model of xenograft tumor mice with knockdown of STAU1, blocking tRF-3019 A led to a substantial decrease in the pace of tumor development, a reduction in the expression of EMT-related proteins and autophagy, and an inhibition of autophagy.

CONCLUSION

tRF-3019A activated tumor cell autophagy and promoted the malignant progression of colon cancer by competitively binding to the STAU1 protein with BECN1 mRNA.

tRF-23-R9J89O9N9:A novel liquid biopsy marker for diagnosis of hepatocellular carcinoma

BACKGROUND

Non-coding small RNA, specifically tRNA-derived small RNAs (tsRNAs), are readily detectable in cancer patients, exhibit remarkable stability, and are present in high abundance. They play a significant role in tumor development. However, the clinical significance of serum tsRNAs in hepatocellular carcinoma (HCC) remains poorly understood. In this study, we explored the impact of a novel tsRNA, named tRF-23-R9J89O9N9, in the adjuvant diagnosis, disease monitoring, and prognosis assessment of HCC.

METHODS

The tRF-23-R9J89O9N9 was identified as the target molecule through screening the The Cancer Genome Atlas(TCGA) database. Its expression levels were measured using qRT-PCR. Various methods, including agarose gel electrophoresis, Sanger sequencing, gradient dilution experiments, room temperature stability tests, and repeated freeze-thaw assessments, were employed to evaluate the performance of tRF-23-R9J89O9N9. The correlation between tRF-23-R9J89O9N9 levels and clinicopathological parameters was analyzed using the χ2 test. The diagnostic value of tRF-23-R9J89O9N9 in HCC was assessed with ROC curve analysis, while the prognostic value was evaluated using Kaplan-Meier curves.

RESULTS

Serum tRF-23-R9J89O9N9 expression levels were significantly elevated in HCC patients, while levels in postoperative patients were restored to those of healthy subjects. Additionally, the expression of tRF-23-R9J89O9N9 related to TNM stage(P = 0.009), lymph node metastasis(P＜0.0001), and degree of differentiation(P＜0.0001). Furthermore, the combination of AFP, PIVKA-II, and CEA greatly improved the diagnostic value for HCC. Serum tRF-23-R9J89O9N9 was also identified as a potential biomarker for dynamic monitoring and prognosis of HCC.

CONCLUSIONS

tRF-23-R9J89O9N9 may regard as a potential novel biomarker for the adjuvant diagnosis of HCC.

tRNA-derived small RNAs in digestive tract diseases: Progress and perspectives

tRNA-derived small RNAs (tsRNAs) are non-coding small RNAs that are produced through the precise cleavage of tRNA molecules under specific conditions. tsRNA has multiple functions, including inhibiting translation, acting in association with classical small RNA effector mechanisms, or acting in conjunction with Argonaute proteins that affect cell proliferation, migration, cycle, and apoptosis. Recent studies have revealed the clinical potential of tsRNAs in numerous diseases. This article aims to provide a comprehensive and up-to-date review of the classification and biological function of tsRNAs in gastrointestinal diseases. Furthermore, this review explores the underlying mechanisms by which tsRNAs are believed to exert their effects in both tumor and non-tumor digestive tract diseases. Therefore, specific tsRNAs prove promising for disease diagnosis, prognosis prediction, and therapeutic interventions as novel biomarkers for digestive tract diseases.

Comprehensive assessment of serum 3'-tRFArg as a novel diagnostic biomarker for gastric cancer

Gastric cancer is one of the malignant tumors with the highest morbidity and mortality rates worldwide. Yet, there is a lack of diagnostic markers with high sensitivity in the clinic. tRNA-derived small RNAs are a novel type of non-coding small RNAs, which are abundant in tumor cells and body fluids. In this study, we explored the potential of 3'-tRFArg as a tumor marker for the diagnosis of GC. Differential expression of 3'-tRFArg was screened by high-throughput sequencing, and Quantitative real-time PCR confirmed its low expression in GC serum with good stability. Differential expression of serum 3'-tRFArg could distinguish between GC patients, gastritis patients, and healthy donors and was significantly correlated with clinical pathological features such as tumor differentiation, lymph node metastasis, and TNM staging. The receiver operating characteristic curve showed that 3'-tRFArg had a higher diagnostic value compared with conventional biomarkers, especially in the diagnosis of early gastric cancer. In conclusion, our results suggest that 3'-tRFArg can serve as a highly sensitive biomarker with a certain value for monitoring tumor development and prognosis.

TsRNA-49-73-Glu-CTC: A promising serum biomarker in non-small cell lung cancer

OBJECTIVE

Lung cancer has the highest incidence and mortality rates globally, with the majority of cases classified as non-small cell lung cancer (NSCLC). Due to the absence of specific tumor biomarkers, most lung cancer cases are diagnosed at an advanced stage. Therefore, the identification of novel molecular biomarkers with high sensitivity and specificity for early diagnosis is deemed crucial for enhancing the treatment of NSCLC. Transfer RNA-derived small RNA (tsRNA) is closely associated with malignant tumors and holds promise as a potential biomarker for tumor diagnosis. This study aimed to investigate whether serum tsRNA could serve as a biomarker for NSCLC.

METHODS

Differentially expressed tsRNAs were identified through high-throughput sequencing of serum samples obtained from patients with NSCLC and healthy individuals. Additional serum samples were collected for validation using Reverse Transcription Quantitative Polymerase Chain Reaction (RT-qPCR). The diagnostic performance of these tsRNAs was assessed through Receiver Operating Characteristic (ROC) Curve Analysis. Furthermore, preliminary functional exploration was undertaken through cell experiments.

RESULTS

tsRNA-49-73-Glu-CTC is highly expressed in the serum of patients with NSCLC and demonstrates superior diagnostic value compared to commonly used tumor markers in clinical practice, such as Carcinoembryonic Antigen (CEA), Neuron-Specific Enolase (NSE), and Cytokeratin 19 Fragment (CYFRA). A combined diagnostic approach enhances the accuracy of NSCLC detection. Additionally, tsRNA-49-73-Glu-CTC is highly expressed in A549 cells, and transfection with a tsRNA-49-73-Glu-CTC inhibitor significantly reduces both proliferation and migration capabilities.

CONCLUSIONS

tsRNA-49-73-Glu-CTC has the potential to serve as a novel molecular diagnostic biomarker for NSCLC and plays a significant role in the biological processes associated with NSCLC proliferation and migration.

New insights into tRNA-derived small RNAs in human digestive diseases

tRNA-derived small RNAs (tsRNAs) is a type of non-coding RNA that is present in large quantities in humans and exhibits high stability. It plays a crucial role in various physiological processes and diseases. In recent years, research on tsRNAs in tumors has expanded significantly, revealing its regulatory effects in non-neoplastic diseases as well. Additionally, tsRNAs has been extensively studied in the context of digestive system diseases, encompassing both digestive system tumors and non-tumor conditions. It is believed to influence the biological characteristics of diseases as well as clinical pathological features. Given its potential, tsRNAs is anticipated to have broad applications in disease diagnosis and prognosis prediction, and it is expected to emerge as a new class of biomarkers. Nevertheless, numerous issues remain that require in-depth discussion. This article presents an overview of the characteristics and roles of tsRNAs in digestive system diseases, aiming to provide a comprehensive perspective and to inspire new ideas for the diagnosis and treatment of these conditions.

The Role of tRNA-Derived Small RNAs (tsRNAs) in Regulating Cell Death of Cardiovascular Diseases

Transfer RNA is a class of non-coding RNA that plays a role in amino acid translocation during protein synthesis. After specific modification, the cleaved fragment is called tRNA-derived small RNA. The advancement of bioinformatics technology has led to an increase in the visibility of small RNA derived from tRNA, and their functions in biological processes are being revealed. These include gene silencing, transcription and translation, epigenetics, and cell death. These properties have led to the implication of tsRNAs in various diseases. Although the current research mainly focuses on the role of tRNA-derived small RNA in cancer, there is mounting evidence that they are also strongly associated with cardiovascular disease, including cardiac hypertrophy, atrial fibrillation, heart failure, and myocarditis. Therefore, the regulatory role of tRNA-derived small RNA in cardiovascular disease will become an emerging therapeutic strategy. This review succinctly summarizes the characteristics, classification, and regulatory effect of tsRNA. By exploring the mechanism of tsRNA, it will provide a new tool for the diagnosis and prognosis of cardiovascular disease.

Combinatorial Analysis of miRNAs and tRNA Fragments as Potential Biomarkers for Cancer Patients in Liquid Biopsies

Background: Liquid biopsy has gained significant attention as a non-invasive method for cancer detection and monitoring. IsomiRs and tRNA-derived fragments (tRFs) are small non-coding RNAs that arise from non-canonical microRNA (miRNAs) processing and the cleavage of tRNAs, respectively. These small non-coding RNAs have emerged as pro-mising cancer biomarkers, and their distinct expression patterns highlight the need for further exploration of their roles in cancer research. Methods: In this study, we investigated the differential expression profiles of miRNAs, isomiRs, and tRFs in plasma extracellular vesicles (EVs) from colorectal and prostate cancer patients compared to healthy controls. Subsequently, a combinatorial analysis using the CombiROC package was performed to identify a panel of biomarkers with optimal diagnostic accuracy. Results: Our results demonstrate that a combination of miRNAs, isomiRs, and tRFs can effectively di- stinguish cancer patients from healthy controls, achieving accuracy and an area under the curve (AUC) of approximately 80%. Conclusions: These findings highlight the potential of a combinatorial approach to small RNA analysis in liquid biopsies for improved cancer diagnosis and management.

Progress in application and research of tsRNAs in digestive system tumors

Transfer RNA-derived small RNAs (tsRNAs) are a class of non-coding small RNAs derived from mature transfer RNAs or transfer RNA precursors under specific conditions, and they exhibit abnormal expression in various digestive system tumors. In recent years, research has revealed that abnormal expression of tsRNAs can not only serve as biomarkers for the early diagnosis of digestive system tumors but also play significant regulatory roles in the proliferation, invasion, and metastasis of digestive system tumor cells. tsRNAs provide a novel group of biomarkers for early diagnosis and new therapeutic directions for patients with digestive system tumors. This article reviews the progress in application and research of tsRNAs in common digestive system tumors such as gastric cancer, liver cancer, and colorectal cancer, providing new directions for their clinical diagnosis and treatment.

Dysregulated transfer RNA-derived small RNAs as potential gastric cancer biomarkers

Gastric cancer (GC) is the kind of carcinoma that has the highest rates of morbidity and death worldwide. In the early stages of GC, there is currently an absence of sensitive and specific biomarkers. The newly-discovered class of non-coding RNAs (ncRNAs) known as transfer RNA-derived small RNAs (tsRNAs) is highly expressed in bodily fluids and neoplastic cells. High-throughput sequencing was initially employed to identify differentially expressed tsRNAs in early GC patients, followed by validation in patient serum, GC tissues, and cell lines by quantitative real-time polymerase chain reaction (qRT-PCR). We identified dysregulated tsRNAs (the up-regulated tsRNAs included tRF-31-PNR8YP9LON4VD, tRF-30-MIF91SS2P4FI, and tRF-30-IK9NJ4S2I7L7, whereas the down-regulated tsRNAs included tRF-38-W6RM7KYUPRENRHD2, tRF-37-LBRY73W0K5KKOV2, tRF-36-JB59V3WD8YQ84VD, tRF-25-MBQ4NKKQBR, and tRF-36-0KFMNKYUHRF867D) in GC, and we verified that the serum of patients, GC cells and tissues both consistently expressed these tsRNAs. Additionally, GC patients' serum had considerably greater expression levels of the three up-regulated tsRNAs than did healthy controls. Receiver operating characteristic (ROC) curve analysis demonstrated that the sensitivity and specificity of the three up-regulated tsRNAs were superior to those of CEA, CA199, and CA724 in the process of diagnosing GC, particularly in its early stages. This suggests that tsRNAs have great diagnostic efficacy and potential as new "liquid biopsy" biomarkers for the diagnosis of GC. Using bioinformatics software, we predicted that dysregulation of tsRNAs may be a potential regulatory mechanism for the development of GC.

tRNA-derived small RNAs (tsRNAs): establishing their dominance in the regulation of human cancer

The main function of transfer RNAs (tRNAs) is to carry amino acids into the ribosome and synthesize proteins under the guidance of messenger RNAs (mRNAs). In addition to this, it has been observed that tRNAs undergo precise cleavage at specific loci, giving rise to an extensive array of distinct small RNAs, termed tRNA-derived small RNAs (tsRNAs). Existing studies have shown that tsRNAs are widely present across various organisms and comprehensively regulate gene expression, aberrant expression of tsRNAs is inextricably linked to tumorigenesis and development, thus, a systematic understanding of tsRNAs is necessary. This review aims to comprehensively delineate the genesis and expression patterns of tsRNAs, elucidate their diverse functions and emphasize their prospective clinical application as biomarkers and targets for therapy. It is noteworthy that we innovatively address the roles played by tsRNAs in human cancers at the level of the hallmarks of tumorigenesis proposed by Hanahan in anticipation of a broad understanding of tsRNAs and to guide the treatment of tumors.

Identification of serum tsRNA-Thr-5-0015 and combined with AFP and PIVKA-II as novel biomarkers for hepatocellular carcinoma

Accumulating evidence has shown that tRNA-derived small RNAs (tsRNAs) play crucial roles in malignant tumor development. However, whether serum tsRNAs can act as potential biological markers for hepatocellular carcinoma (HCC) are still largely unknown. In the current study, a novel tsRNA, namely tsRNA-Thr-5-0015, was prominently elevated in the sera of HCC patients than that of hepatitis cases and healthy check-ups, and it was related with TNM stage and lymphatic metastasis of HCC patients. Moreover, methodological evaluation confirmed that tsRNA-Thr-5-0015 had excellent stability, precision, accuracy and linear range. Additionally, the combined detection of serum tsRNA-Thr-5-0015 with AFP as well as PIVKA-II improved the diagnostic sensitivity for HCC. Furthermore, dynamic monitoring found that the serum tsRNA-Thr-5-0015 was drastically decreased in the postoperative HCC patients. Besides, Kaplan-Meier analysis displayed that patients with high level of serum tsRNA-Thr-5-0015 had shorter overall survival than that of the low level ones. In addition, bioinformatic prediction unveiled that the downstream targets of tsRNA-Thr-5-0015 were enriched in several signaling pathways, such as MAPK, PI3K-Akt, etc. In summary, tsRNA-Thr-5-0015 may be a promising biomarker for HCC diagnosis, therapeutic effect assessment and prognosis judgement. Especially, the combination with serum tsRNA-Thr-5-0015, AFP and PIVKA-II can enhance the diagnostic efficiency for HCC.

The regulatory role of tRNA-derived small RNAs in the prognosis of gastric cancer

In recent years, tRNA-derived small RNAs (tsRNAs) including tRNA-derived stress-induced RNAs (tiRNAs) and tRNA-derived fragments (tRFs), with specific structure and enriched in body fluids, have been found to have specific biological functions. In this paper, the biogenesis, classification, subcellular localization, and biological functions of tsRNAs were summarized. It has been proved that tsRNAs affected tumor cells in proliferation, apoptosis, migration and invasion, and played roles in regulating the occurrence and development of various tumors. In gastric cancer (GC), the imbalance of tsRNAs, such as tRF-33-P4R8YP9LON4VDP, tRF-17-WS7K092, tRF-23-Q99P9P9NDD and others, was closely related to the clinicopathological characteristics of GC patients. Some tsRNAs, such as tRF-23-Q99P9P9NDD, tRF-31-U5YKFN8DYDZDD, and tRF-27-FDXXE6XRK45 promoted the proliferation, migration and invasion of GC cells. Other tsRNAs, such as tRF-41-YDLBRY73W0K5KKOVD, tRF-18-79MP9PO4, and tRF-Glu-TTC-027 inhibited the proliferation, migration and invasion of GC cells. The tsRNAs played roles in the occurrence of GC were through several signaling pathways, such as phosphoinositide 3-kinase (PI3K)-AKT serine/threonine kinase (AKT), Wnt-β-Catenin, and mitogen-activated protein kinase (MAPK) pathways. These findings may provide new strategies for the diagnosis and treatment of GC.

tRNA-derived fragments: Unveiling new roles and molecular mechanisms in cancer progression

tRNA-derived fragments (tRFs) are novel small noncoding RNAs (sncRNAs) that range from approximately 14 to 50 nt. They are generated by the cleavage of mature tRNAs or precursor tRNAs (pre-tRNAs) at specific sites. Based on their origin and length, tRFs can be classified into three categories: (1) tRF-1 s; (2) tRF-3 s, tRF-5 s, and internal tRFs (i-tRFs); and (3) tRNA halves. They play important roles in stress response, signal transduction, and gene expression processes. Recent studies have identified differential expression of tRFs in various tumors. Aberrantly expressed tRFs have critical clinical value and show promise as new biomarkers for tumor diagnosis and prognosis and as therapeutic targets. tRFs regulate the malignant progression of tumors via various mechanisms, primarily including modulation of noncoding RNA biogenesis, global chromatin organization, gene expression regulation, modulation of protein translation, regulation of epigenetic modification, and alternative splicing regulation. In conclusion, tRF-mediated regulatory pathways could present new avenues for tumor treatment, and tRFs could serve as promising therapeutic targets for cancer therapy.

A versatile and efficient method for detecting tRNA-derived fragments

Recently, it has been discovered surprisingly that tRNA can be cleaved into specific small fragments under certain conditions. Most importantly, these tRNA-derived fragments (tRFs) participate in the regulation of gene expression, playing pivotal roles in various physiological and pathological processes and thus attracting widespread attention. Detecting tRF expression in tissues and cells often involves using tRF-specific stem-loop primers for reverse transcription. However, the high specificity offered by this method limits it to transcribing only one specific tRF sequence per reaction, necessitating separate reverse transcription and qPCR steps for multiple tRFs, leading to substantially increased time and resource consumption. This becomes especially challenging in precious samples with limited RNA availability. To address these issues, there is an urgent need for a universal and cost-effective tRF identification method. This study introduces a versatile tRF detection approach based on the uniform polyadenylation of all tRFs, allowing reverse transcription with a universal oligo(dT) primer. This method enables simultaneous reverse transcription of all target tRFs in one reaction, greatly facilitating subsequent qPCR analysis. Furthermore, it demonstrates exceptional sensitivity and specificity, offering significant value in tRF-related research.

Potential Diagnostic Biomarkers of tRNA-Derived Small RNAs in PBMCs for Nonproliferative Diabetic Retinopathy in Patients With Type 2 Diabetes Mellitus

Purpose

This study aimed to reveal the altered expressions of transfer RNA (tRNA)-derived small RNAs (tsRNAs) in peripheral blood mononuclear cells and identify potential diagnostic biomarkers for nonproliferative diabetic retinopathy (NPDR) from patients with type 2 diabetes mellitus.

Methods

Fifty-three patients diagnosed with type 2 diabetes mellitus were enrolled, including 25 patients with NPDR and 28 patients without diabetic retinopathy (DR) as the control group. A small RNA microarray was performed to screen the differentially expressed tsRNAs. Reverse transcriptase quantitative polymerase chain reaction was used to validate the significantly altered tsRNAs in a screening cohort and a verification cohort. The target genes, their enriched functions, and signaling pathways were predicted by bioinformatics analyses.

Results

In total, 668 upregulated and 485 downregulated tsRNAs were found in the NPDR group by microarray. Eight tsRNAs were validated preliminarily to be altered significantly by reverse transcriptase quantitative polymerase chain reaction, and their target genes were enriched in cellular macromolecule metabolic process and ubiquitin-mediated proteolysis. The verification experiments confirmed the increased levels of 5'tiRNA-35-PheGAA-8, tRF3-28-PheGAA-1, and tRF3b-PheGAA-6, and the decreased levels of mt-tRF3-19-ArgTCG, mt-tRF3-20-ArgTCG, and mt-tRF3-21-ArgTCG in patients with NPDR, which may serve as potential biomarkers with clinical significance.

Conclusions

The study recognized the tsRNA expression changes in peripheral blood mononuclear cells from patients with NPDR and discovered potential diagnostic biomarkers that hold clinical significance.

Translational Relevance

The significantly altered tsRNAs identified in the study may serve as potential diagnostic biomarkers for patients with NPDR as well as possible molecular targets of the occurrence and development of DR.

Circulating serum exosomes i-tRF-AspGTC and tRF-1-SerCGA as diagnostic indicators for non-small cell lung cancer

BACKGROUND

tRF-RNA-a representative of non-coding RNA (ncRNA)-is a precursor or fragment of mature tRNA and plays a crucial regulatory role in the occurrence and development of cancer. There is currently little research on tRF-RNA as a diagnostic marker in cancer, especially for NSCLC from serum exosomes.

METHOD

Serum exosomes were successfully extracted from serum; their physical morphology was captured by transmission electron microscopy (TEM); appropriate particle size detection was performed using qNano; surface labeling was verified through western blotting. Serum exosomes i-tRF-AspGTC and tRF-1-SerCGA were selected through gene microarray, and qPCR was used to validate their significance in 242 patients and 201 healthy individuals. The area under the curve (AUC) was used to evaluate the diagnostic indicators of non-small cell lung cancer (NSCLC).

RESULT

Compared with 201 healthy individuals, i-tRF-AspGTC and tRF-1-SerCGA were significantly downregulated in 242 NSCLC patients and 95 early-stage patients. For tRF-AspGTC and tRF-1-SerCGA, the predictive diagnostic efficiency rates of AUC were 0.690 and 0.680, respectively, whereas the early diagnostic efficiency rates were 0.656 and 0.688, respectively. The result of combined diagnosis with CEA and CYFRA21-1 was 0.928, and the early diagnostic efficiency was 0.843, which is a very high biological predictive factor for NSCLC.

CONCLUSION

The expression of serum exosomes i-tRF-AspGTC and tRF-1-SerCGA was significantly downregulated in NSCLC patients. These exosomes could be used as predictive indicators for diagnosis or early diagnosis of NSCLC.

Transfer RNA‑derived small RNAs: A class of potential biomarkers in multiple cancers (Review)

Transfer (t)RNA-derived small RNAs (tsRNAs) are a class of novel non-coding small RNAs that are created via precise cleavage of tRNAs or tRNA precursors by different enzymes. tsRNAs are specific biological molecules that serve essential roles in cell proliferation, apoptosis, transcriptional regulation, post-transcriptional modification and translational regulation. Additionally, tsRNAs participate in the pathogenesis of several diseases, particularly in the development of malignant tumors. At present, the process of discovering and understanding the functions of tsRNAs is still in its early stages. The present review introduces the known biological functions and mechanisms of tsRNAs, and discusses the tsRNAs progression in several types of cancers as well as the possibility of tsRNAs becoming novel tumor biomarkers. Furthermore, tsRNAs may promote and hinder tumor formation according to different mechanisms and act as oncogenic or oncostatic molecules. Therefore, tsRNAs may be future potential tumor biomarkers or therapeutic targets.

Transfer RNA-derived fragment tRF-23-Q99P9P9NDD promotes progression of gastric cancer by targeting ACADSB

Gastric cancer (GC) is one of the most common gastrointestinal tumors. As a newly discovered type of non-coding RNAs, transfer RNA (tRNA)‍-derived small RNAs (tsRNAs) play a dual biological role in cancer. Our previous studies have demonstrated the potential of tRF-23-Q99P9P9NDD as a diagnostic and prognostic biomarker for GC. In this work, we confirmed for the first time that tRF-23-Q99P9P9NDD can promote the proliferation, migration, and invasion of GC cells in vitro. The dual luciferase reporter gene assay confirmed that tRF-23-Q99P9P9NDD could bind to the 3' untranslated region (UTR) site of acyl-coenzyme A dehydrogenase short/branched chain (ACADSB). In addition, ACADSB could rescue the effect of tRF-23-Q99P9P9NDD on GC cells. Next, we used Gene Ontology (GO), the Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA) to find that downregulated ACADSB in GC may promote lipid accumulation by inhibiting fatty acid catabolism and ferroptosis. Finally, we verified the correlation between ACADSB and 12 ferroptosis genes at the transcriptional level, as well as the changes in reactive oxygen species (ROS) levels by flow cytometry. In summary, this study proposes that tRF-23-Q99P9P9NDD may affect GC lipid metabolism and ferroptosis by targeting ACADSB, thereby promoting GC progression. It provides a theoretical basis for the diagnostic and prognostic monitoring value of GC and opens up new possibilities for treatment.

Clinical value assessment for serum hsa_tsr013526 in the diagnosis of gastric carcinoma

Gastric carcinoma (GC) is a malignant tumor that is detrimental to human health. Transfer RNA-derived small RNAs are a newly identified class of noncoding small RNAs with specific biological functions that are aberrantly expressed in cancer. The aim of this study was to investigate the potential of hsa_tsr013526 as a biomarker for GC. Quantitative real-time fluorescence polymerase chain reaction was used to detect the expression level of hsa_tsr013526. The molecular characteristics of hsa_tsr013526 were verified by agarose gel electrophoresis, Sanger sequencing, and separation of nuclear and cytoplasmic RNA fractions. By testing the receiver operating characteristic (ROC) curves, the diagnostic efficiency of GC using hsa_tsr013526 was determined. Finally, we predicted the downstream of hsa_tsr013526 using functional assays and bioinformatics analysis. Serum expression of hsa_tsr013526 was higher in GC patients than in healthy donors. Serum expression showed differential changes in GC patients, gastritis patients, and healthy donors. Chi-squared tests showed that high expression of hsa_tsr013526 was significantly correlated with T stage, lymphatic metastasis, and tumor node metastasis stage. ROC curve analysis indicated that GC patients could be discriminated from healthy donors or gastritis patients based on their serum levels of hsa_tsr013526. Furthermore, hsa_tsr013526 expression was significantly reduced in postoperative GC patients (p = .0016). High expression of hsa_tsr013526 promotes gastric cancer cell proliferation, invasion, and migration. Serum hsa_tsr013526 was stable and specific, and could be used for dynamic monitoring of GC patients. Therefore, hsa_tsr013526 may be a new biomarker for the diagnosis and postoperative monitoring of GC patients.

tRNA-derived small RNAs in human cancers: roles, mechanisms, and clinical application

Transfer RNA (tRNA)-derived small RNAs (tsRNAs) are a new type of non-coding RNAs (ncRNAs) produced by the specific cleavage of precursor or mature tRNAs. tsRNAs are involved in various basic biological processes such as epigenetic, transcriptional, post-transcriptional, and translation regulation, thereby affecting the occurrence and development of various human diseases, including cancers. Recent studies have shown that tsRNAs play an important role in tumorigenesis by regulating biological behaviors such as malignant proliferation, invasion and metastasis, angiogenesis, immune response, tumor resistance, and tumor metabolism reprogramming. These may be new potential targets for tumor treatment. Furthermore, tsRNAs can exist abundantly and stably in various bodily fluids (e.g., blood, serum, and urine) in the form of free or encapsulated extracellular vesicles, thereby affecting intercellular communication in the tumor microenvironment (TME). Meanwhile, their abnormal expression is closely related to the clinicopathological features of tumor patients, such as tumor staging, lymph node metastasis, and poor prognosis of tumor patients; thus, tsRNAs can be served as a novel type of liquid biopsy biomarker. This review summarizes the discovery, production, and expression of tsRNAs and analyzes their molecular mechanisms in tumor development and potential applications in tumor therapy, which may provide new strategies for early diagnosis and targeted therapy of tumors.

Cell-free Nucleic Acid as Promising Diagnostic Biomarkers for Gastric Cancer: a Systematic Review

Background: Gastric cancer (GC) is a common malignancy with early detection being crucial for survival. Liquid biopsy analysis using cell-free nucleic acid is a preferred method for detection. Hence, we conducted a systematic review to assess the diagnostic efficacy of cell-free nucleic acid markers for GC. Methods: We searched PubMed and ISI Web of Science databases for articles that conformed to our inclusion and exclusion criteria from 2012 to 2022. The following information was abstracted: first author, year of publication, country/region, age, male proportion, tumor stage for cases, specimen type, measurement method, targeted markers and diagnostic related indicators (including sensitivity, specificity, AUC, P-value). Results: Fifty-eight studies examined cell-free RNAs (cfRNAs) with a total of 62 individual circulating markers and 7 panels in serum or plasma, while 21 studies evaluated cell-free DNAs (cfDNAs) with 29 individual circulating markers and 7 panels. For individual cfRNAs, the median (range) sensitivity and specificity were 80% (21% - 98%) and 80% (54% - 99%), respectively. The median (range) sensitivity and specificity for cfRNA panels were 86% (83% - 90%) and 75% (60% - 98%), respectively. In comparison, the median (range) sensitivity and specificity reported for individual cfDNAs were 50% (18% - 96%) and 93% (57% - 100%), respectively, while cfDNA panels had a median (range) sensitivity and specificity of 85% (41% - 92%) and 73.5% (38% - 90%), respectively. The meta results indicate that cfRNA markers exhibit high sensitivity (80%) and low specificity (80%) for detecting GC, while cfDNA markers have lower sensitivity (59%) but higher specificity (92%). Conclusions: This review has demonstrated that cell-free nucleic acids have the potential to serve as useful diagnostic markers for GC. Given that both cfRNA and cfDNA markers have shown promising diagnostic performance for GC, the combination of the two may potentially enhance diagnostic efficiency.

Exploring the functional role of tRF-39-8HM2OSRNLNKSEKH9 in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is associated with high morbidity and mortality globally. tRNA-derived small RNAs (tsRNAs) have emerged as potential targets for cancer treatment. However, the specific impact of tsRNAs on HCC remains undiscovered. In this study, we aimed to investigate the biological significance of tsRNAs in HCC. First, we screened the differentially expressed tsRNAs in HCC tissues and normal tissues adjacent to the tumor (NAT) using high-throughput sequencing and the results showed that tRF-39-8HM2OSRNLNKSEKH9 was more highly expressed in HCC tissues than NATs. Agarose gel electrophoresis (AGE), nuclear-cytoplasmic separation assays and fluorescence in situ hybridization (FISH) were employed to assess the characterization of tRF-39-8HM2OSRNLNKSEKH9. The relationship between the expression of tRF-39-8HM2OSRNLNKSEKH9 and clinicopathological parameters was evaluated and we found that it was positively associated with tumor size. The cell counting kit-8 (CCK8) assay, colony formation assay and EdU staining assay were employed to investigate the role of tRF-39-8HM2OSRNLNKSEKH9 in the proliferation of HCC cells. Additionally, transwell assays demonstrated that overexpression of tRF-39-8HM2OSRNLNKSEKH9 could accelerate cell migration capability. Taken together, tRF-39-8HM2OSRNLNKSEKH9 was highly expressed in HCC cells, serum and tissues, and it may play an oncogenic role in HCC cells through interacting with downstream mRNA targets.

tRNA-derived fragments: Key determinants of cancer metastasis with emerging therapeutic and diagnostic potentials

Metastasis is a significant clinical challenge responsible for cancer mortality and non-response to treatment. However, the molecular mechanisms driving metastasis remain unclear, limiting the development of efficient diagnostic and therapeutic approaches. Recent breakthroughs in cancer biology have discovered a group of small non-coding RNAs called tRNA-derived fragments (tRFs), which play a critical role in the metastatic behavior of various tumors. tRFs are produced from cleavage modifications of tRNAs and have different functional classes based on the pattern of these modifications. They perform post-transcriptional regulation through microRNA-like functions, displacing RNA-binding proteins, and play a role in translational regulation by inducing ribosome synthesis, translation initiation, and epigenetic regulation. Tumor cells manipulate tRFs to develop and survive the tumor mass, primarily by inducing metastasis. Multiple studies have demonstrated the potential of tRFs as therapeutic, diagnostic, and prognostic targets for tumor metastasis. This review discusses the production and function of tRFs in cells, their aberrant molecular contributions to the metastatic environment, and their potential as promising targets for anti-metastasis treatment strategies.

Biological function and clinical application prospect of tsRNAs in digestive system biology and pathology

tsRNAs are small non-coding RNAs originating from tRNA that play important roles in a variety of physiological activities such as RNA silencing, ribosome biogenesis, retrotransposition, and epigenetic inheritance, as well as involvement in cellular differentiation, proliferation, and apoptosis. tsRNA-related abnormalities have a significant influence on the onset, development, and progression of numerous human diseases, including malignant tumors through affecting the cell cycle and specific signaling molecules. This review introduced origins together with tsRNAs classification, providing a summary for regulatory mechanism and physiological function while dysfunctional effect of tsRNAs in digestive system diseases, focusing on the clinical prospects of tsRNAs for diagnostic and prognostic biomarkers. Video Abstract.

Ushering in the era of tRNA medicines

Long viewed as an intermediary in protein translation, there is a growing awareness that tRNAs are capable of myriad other biological functions linked to human health and disease. These emerging roles could be tapped to leverage tRNAs as diagnostic biomarkers, therapeutic targets, or even as novel medicines. Furthermore, the growing array of tRNA-derived fragments, which modulate an increasingly broad spectrum of cellular pathways, is expanding this opportunity. Together, these molecules offer drug developers the chance to modulate the impact of mutations and to alter cell homeostasis. Moreover, because a single therapeutic tRNA can facilitate readthrough of a genetic mutation shared across multiple genes, such medicines afford the opportunity to define patient populations not based on their clinical presentation or mutated gene but rather on the mutation itself. This approach could potentially transform the treatment of patients with rare and ultrarare diseases. In this review, we explore the diverse biology of tRNA and its fragments, examining the past and present challenges to provide a comprehensive understanding of the molecules and their therapeutic potential.

Transfer RNA-derived small RNAs (tsRNAs) in gastric cancer

Transfer RNA-derived small RNAs (tsRNAs) are newly discovered noncoding RNAs (ncRNAs). According to the specific cleavage of nucleases at different sites of tRNAs, the produced tsRNAs are divided into tRNA-derived stress-inducible RNAs (tiRNAs) and tRNA-derived fragments (tRFs). tRFs and tiRNAs have essential biological functions, such as mRNA stability regulation, translation regulation and epigenetic regulation, and play significant roles in the occurrence and development of various tumors. Although the roles of tsRNAs in some tumors have been intensively studied, their roles in gastric cancer are still rarely reported. In this review, we focus on recent advances in the generation and classification of tsRNAs, their biological functions, and their roles in gastric cancer. Sixteen articles investigating dysregulated tsRNAs in gastric cancer are summarized. The roles of 17 tsRNAs are summarized, of which 9 were upregulated and 8 were downregulated compared with controls. Aberrant regulation of tsRNAs was closely related to the main clinicopathological factors of gastric cancer, such as lymph node metastasis, Tumor-Node-Metastasis (TNM) stage, tumor size, and vascular invasion. tsRNAs participate in the progression of gastric cancer by regulating the PTEN/PI3K/AKT, MAPK, Wnt, and p53 signaling pathways. The available literature suggests the potential of using tsRNAs as clinical biomarkers for gastric cancer diagnosis and prognosis and as therapeutic targets for gastric cancer treatment.

The diagnostic and prognostic value of tsRNAs in gastric cancers: a systematic review and meta-analysis

BACKGROUND

Gastric cancer (GC) is one of the most common types of cancer worldwide. Recent studies have shown that tsRNAs play important roles in GC and that changes in the expression levels of tsRNAs can be used for GC diagnosis and treatment response prediction.

RESEARCH DESIGN AND METHODS

Hazard ratios (HRs), odds ratios (ORs) and 95% confidence intervals (CIs) were used to evaluate the correlation between tsRNA expression and prognosis and other clinicopathologic features of GC patients. The sensitivity, specificity, area under the receiver operating characteristic curve (AUC) and diagnostic odds ratio (DOR) were analyzed to evaluate the diagnostic value of tsRNAs.

RESULTS

The results showed that patients with tsRNA upregulation had a poor prognosis (HR = 2.48, 95% CI: 1.85-3.34), while patients with tsRNA downregulation had a favorable prognosis (HR = 0.55, 95% CI: 0.31-0.98). In addition, tsRNA expression was significantly correlated with various clinicopathological features in patients with GC. Finally, in diagnostic studies, GC-related tsRNAs could differentiate healthy controls (AUC = 0.81, DOR = 7.74) from patients with inflammation (AUC = 0.74, DOR = 4.44).

CONCLUSIONS

tsRNAs have potential clinical application in GC diagnosis and prognosis evaluation. It is necessary to further assess and verify the practicability and feasibility of additional specific tsRNAs as GC markers in the future.

An old friend with a new face: tRNA-derived small RNAs with big regulatory potential in cancer biology

Transfer RNAs (tRNAs) are small non-coding RNAs (sncRNAs) essential for protein translation. Emerging evidence suggests that tRNAs can also be processed into smaller fragments, tRNA-derived small RNAs (tsRNAs), a novel class of sncRNAs with powerful applications and high biological relevance to cancer. tsRNAs biogenesis is heterogeneous and involves different ribonucleases, such as Angiogenin and Dicer. For many years, tsRNAs were thought to be just degradation products. However, accumulating evidence shows their roles in gene expression: either directly via destabilising the mRNA or the ribosomal machinery, or indirectly via regulating the expression of ribosomal components. Furthermore, tsRNAs participate in various biological processes linked to cancer, including apoptosis, cell cycle, immune response, and retroviral insertion into the human genome. It is emerging that tsRNAs have significant therapeutic potential. Endogenous tsRNAs can be used as cancer biomarkers, while synthetic tsRNAs and antisense oligonucleotides can be employed to regulate gene expression. In this review, we are recapitulating the regulatory roles of tsRNAs, with a focus on cancer biology.

Transfer RNA-derived small RNAs (tsRNAs) sequencing revealed a differential expression landscape of tsRNAs between glioblastoma and low-grade glioma

BACKGROUND

Glioblastomas (GBMs) are the most lethal brain cancer with a median survival rate of fewer than 15 months. Both clinical and biological features of GBMs are largely different from those of low-grade gliomas (LGs), but the reasons for this intratumoral heterogeneity are not entirely clear. Transfer RNA (tRNA)-derived small RNAs (tsRNAs) were derived from tRNA precursors and mature tRNA, referring to the specific cleavage of tRNAs by dicer and angiogenin (ANG) in particular cells or tissues or under certain conditions such as stress and hypoxia. With the characteristics of wide expression and high stability, tsRNAs could be used as favorable biomarkers for diagnosis, treatment, and prognosis prediction of the tumor, viral infection, neurological as well as other systemic diseases. In this study, we have compared the differential expressed tsRNAs between GBMs and LGs, so as to investigate the possible pathogenic molecules and provide references for discovering novel nucleic acid drugs in future studies.

METHODS

Fresh tumor tissues of patients that were diagnosed as GBMs (4 cases) and LGs (5 cases) at the First Affiliated Hospital of Wenzhou Medical University from 2019.05 to 2021.01 were collected. The tsRNAs' levels were analyzed and compared through high-throughput sequencing, candidate tsRNAs were chosen according to the expression level, and the expression of the candidate tsRNAs was validated through qPCR. Finally, the potential targets were imputed using the Miranda and TargetScan databases, and possible biological functions of the differentially expressed (DE) tsRNAs' targets were enriched based on GO and KEGG databases.

RESULTS

A total of 4 GBMs and 5 LGs patients were enrolled in the current study. High-throughput sequencing showed that 186 tsRNAs were expressed in two groups, over them, 43 tsRNAs were unique to GBMs, and 24 tsRNAs were unique to LGs. A total of 9 tsRNAs were selected as candidate tsRNAs according to the tsRNA expression level, among which 6 tsRNAs were highly expressed in GBMs and 3 tsRNAs were low expressed in GBMs. qPCR verification further demonstrated that 5 tsRNAs were significantly up-regulated and 1 tsRNA was significantly down-regulated in GBMs: tRF-1-32-chrM.Lys-TTT (p=0.00118), tiRNA-1-33-Gly-GCC-1 (p=0.00203), tiRNA-1-33-Gly-CCC-1 (p=0.00460), tRF-1-31-His-GTG-1 (p=0.00819), tiRNA-1-33-Gly-GCC-2-M3 (p=0.01032), and tiRNA-1-34-Lys-CTT-1-M2 (p=0.03569). Enrichment analysis of the qPCR verified DE tsRNAs showed that the 5 up-regulated tsRNAs seemed to be associated with axon guidance, pluripotent stem cells regulation, nucleotide excision repair, Hippo signaling pathway, and cancer-related pathways, while the down-regulated tsRNA (tRF-1-32-chrM.Lys-TTT) was associated with oocyte meiosis and renin secretion.

CONCLUSION

The tsRNAs were differentially expressed in tumor tissues between GBMs and LGs, especially tRF-1-32-chrM.Lys-TTT, tiRNA-1-33-Gly-GCC-1, tiRNA-1-33-Gly-CCC-1, tRF-1-31-His-GTG-1, tiRNA-1-33-Gly-GCC-2-M3, and tiRNA-1-34-Lys-CTT-1-M2. These tsRNAs seemed to be associated with nucleotide excision repair, Hippo signaling, and cancer-related pathways. This may be the main reason for the differences in clinical characteristics between GBMs and LGs, which may provide a certain theoretical basis for further functional research and development of related nucleic acid drugs.

CONCLUSION

The tsRNAs were differentially expressed in tumor tissues between GBMs and LGs, especially tRF-1-32-chrM.Lys-TTT, tiRNA-1-33-Gly-GCC-1, tiRNA-1-33-Gly-CCC-1, tRF-1-31-His-GTG-1, tiRNA-1-33-Gly-GCC-2-M3, and tiRNA-1-34-Lys-CTT-1-M2. These tsRNAs seemed to be associated with nucleotide excision repair, Hippo signaling, and cancer-related pathways. This may be the main reason for the differences in clinical characteristics between GBMs and LGs, which may provide a certain theoretical basis for further functional research and development of related nucleic acid drugs.

Transfer RNA-derived small RNAs in tumor microenvironment

Transfer RNAs (tRNAs) are a class of non-coding RNAs responsible for amino acid translocation during protein synthesis and are ubiquitously found in organisms. With certain modifications and under specific conditions, tRNAs can be sheared and fragmented into small non-coding RNAs, also known as tRNA-derived small RNAs (tDRs). With the development of high-throughput sequencing technologies and bioinformatic strategies, more and more tDRs have been identified and their functions in organisms have been characterized. tRNA and it derived tDRs, have been shown to be essential not only for transcription and translation, but also for regulating cell proliferation, apoptosis, metastasis, and immunity. Aberrant expression of tDRs is associated with a wide range of human diseases, especially with tumorigenesis and tumor progression. The tumor microenvironment (TME) is a complex ecosystem consisting of various cellular and cell-free components that are mutually compatible with the tumor. It has been shown that tDRs regulate the TME by regulating cancer stem cells, immunity, energy metabolism, epithelial mesenchymal transition, and extracellular matrix remodeling, playing a pro-tumor or tumor suppressor role. In this review, the biogenesis, classification, and function of tDRs, as well as their effects on the TME and the clinical application prospects will be summarized and discussed based on up to date available knowledge.

Emerging roles of tRNA-derived fragments in cancer

tRNA-derived fragments (tRFs) are an emerging category of small non-coding RNAs that are generated from cleavage of mature tRNAs or tRNA precursors. The advance in high-throughput sequencing has contributed to the identification of increasing number of tRFs with critical functions in distinct physiological and pathophysiological processes. tRFs can regulate cell viability, differentiation, and homeostasis through multiple mechanisms and are thus considered as critical regulators of human diseases including cancer. In addition, increasing evidence suggest the extracellular tRFs may be utilized as promising diagnostic and prognostic biomarkers for cancer liquid biopsy. In this review, we focus on the biogenesis, classification and modification of tRFs, and summarize the multifaceted functions of tRFs with an emphasis on the current research status and perspectives of tRFs in cancer.

tRFs and tRNA Halves: Novel Cellular Defenders in Multiple Biological Processes

tRNA fragments derived from angiogenin or Dicer cleavage are referred to as tRNA-derived fragments (tRFs) and tRNA halves. tRFs and tRNA halves have been identified in both eukaryotes and prokaryotes and are precisely cleaved at specific sites on either precursor or mature tRNA transcripts rather than via random degradation. tRFs and tRNA halves are highly involved in regulating transcription and translation in a canonical or non-canonical manner in response to cellular stress. In this review, we summarize the biogenesis and types of tRFs and tRNA halves, clarify the biological functions and molecular mechanisms of tRNA fragments in both physiological and pathological processes with a particular focus on their cytoprotective roles in defending against oxidation and apoptosis, and highlight their potential application as biomarkers in determining cell fate.

Small Non-Coding RNAs in Human Cancer

Small non-coding RNAs are widespread in the biological world and have been extensively explored over the past decades. Their fundamental roles in human health and disease are increasingly appreciated. Furthermore, a growing number of studies have investigated the functions of small non-coding RNAs in cancer initiation and progression. In this review, we provide an overview of the biogenesis of small non-coding RNAs with a focus on microRNAs, PIWI-interacting RNAs, and a new class of tRNA-derived small RNAs. We discuss their biological functions in human cancer and highlight their clinical application as molecular biomarkers or therapeutic targets.

Comprehensive Evaluation of Serum tRF-17-WS7K092 as a Promising Biomarker for the Diagnosis of Gastric Cancer

Background

Gastric cancer (GC) is a malignant tumor of the gastrointestinal system. Since the early symptoms of GC are not obvious and lack efficient diagnostic markers, it is urgent to find new diagnostic markers with good sensitivity and specificity. tRNA-derived small RNAs (tsRNAs) are an emerging class of small noncoding RNAs with good abundance in body fluids. We aim to find new tsRNAs as biomarkers for GC diagnosis.

Methods

High-throughput sequencing was used to identify differentially expressed tsRNAs in GC tissues, and quantitative real-time PCR was used to detect the expression level of tRF-17-WS7K092. Agarose gel electrophoresis and Sanger sequencing were performed to verify the characteristics of tRF-17-WS7K092. The diagnostic efficacy of tRF-17-WS7K092 was analyzed by the receiver operating characteristic curve.

Results

In this study, the expression levels of tRF-17-WS7K092 were significantly increased in GC tissues, cells, and serum. After GC surgery, the expression level of serum tRF-17-WS7K092 decreased, and its high expression was associated with low survival rates. In addition, the expression level of serum tRF-17-WS7K092 was correlated with the T stage, TNM stage, lymph node metastasis, and nerve/vascular invasion and could distinguish GC patients from gastritis patients and healthy donors as well.

Conclusions

The expression of serum tRF-17-WS7K092 was significantly increased in GC and decreased after GC surgery, suggesting that serum tRF-17-WS7K092 may serve as a promising biomarker for the diagnostic and prognostic monitoring of GC.