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Absolute quantification of a plasma tRNA-derived fragment for the diagnosis and prognosis of gastric cancer
BACKGROUND: The transition from a healthy gastric mucosa to gastric cancer is a multi-step process. Early screening can significantly improve the survival rate of gastric cancer patients. A reliable liquid biopsy for gastric cancer prediction is urgently needed and since tRNA-derived fragments (tRFs...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151007/ https://www.ncbi.nlm.nih.gov/pubmed/37139153 http://dx.doi.org/10.3389/fonc.2023.1106997 |
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author | Zhang, Shuangshuang Xie, Yaoyao Yu, Xiuchong Ge, Jiaxin Ye, Guoliang Guo, Junming |
author_facet | Zhang, Shuangshuang Xie, Yaoyao Yu, Xiuchong Ge, Jiaxin Ye, Guoliang Guo, Junming |
author_sort | Zhang, Shuangshuang |
collection | PubMed |
description | BACKGROUND: The transition from a healthy gastric mucosa to gastric cancer is a multi-step process. Early screening can significantly improve the survival rate of gastric cancer patients. A reliable liquid biopsy for gastric cancer prediction is urgently needed and since tRNA-derived fragments (tRFs) are abundant in various body fluids, tRFs are possible new biomarkers for gastric cancer. METHODS: A total of 438 plasma samples from patients with different gastric mucosal lesions as well as healthy individuals were collected. A specific reverse transcription primer, a forward primer, a reverse primer, and a TaqMan probe were designed. A standard curve was constructed and an absolute quantitation method was devised for detection of tRF-33-P4R8YP9LON4VDP in plasma samples of individuals with differing gastric mucosa lesions. Receiver operating characteristic curves were constructed to evaluate the diagnostic values of tRF-33-P4R8YP9LON4VDP for individual with differing gastric mucosa. A Kaplan–Meier curve was established to calculate the prognostic value of tRF-33-P4R8YP9LON4VDP for advanced gastric cancer patients. Finally, a multivariate Cox regression analysis was performed to assess the independent prognostic value of tRF-33-P4R8YP9LON4VDP for advanced gastric cancer patients. RESULTS: A detection method for plasma tRF-33-P4R8YP9LON4VDP was successfully established. Levels of plasma tRF-33-P4R8YP9LON4VDP were shown to reflect a gradient change from healthy individuals to gastritis patients to early and advanced gastric cancer patients. Significant differences were found among individuals with differing gastric mucosa, with reduced levels of tRF-33-P4R8YP9LON4VDP significantly related to a poor prognosis. tRF-33-P4R8YP9LON4VDP was found to be an independent predictor of an unfavorable survival outcome. CONCLUSIONS: In this study, we developed a quantitative detection method for plasma tRF-33-P4R8YP9LON4VDP that exhibited hypersensitivity, convenience, and specificity. Detection of tRF-33-P4R8YP9LON4VDP was found to be a valuable means by which to monitor different gastric mucosa and to predict patient prognosis. |
format | Online Article Text |
id | pubmed-10151007 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101510072023-05-02 Absolute quantification of a plasma tRNA-derived fragment for the diagnosis and prognosis of gastric cancer Zhang, Shuangshuang Xie, Yaoyao Yu, Xiuchong Ge, Jiaxin Ye, Guoliang Guo, Junming Front Oncol Oncology BACKGROUND: The transition from a healthy gastric mucosa to gastric cancer is a multi-step process. Early screening can significantly improve the survival rate of gastric cancer patients. A reliable liquid biopsy for gastric cancer prediction is urgently needed and since tRNA-derived fragments (tRFs) are abundant in various body fluids, tRFs are possible new biomarkers for gastric cancer. METHODS: A total of 438 plasma samples from patients with different gastric mucosal lesions as well as healthy individuals were collected. A specific reverse transcription primer, a forward primer, a reverse primer, and a TaqMan probe were designed. A standard curve was constructed and an absolute quantitation method was devised for detection of tRF-33-P4R8YP9LON4VDP in plasma samples of individuals with differing gastric mucosa lesions. Receiver operating characteristic curves were constructed to evaluate the diagnostic values of tRF-33-P4R8YP9LON4VDP for individual with differing gastric mucosa. A Kaplan–Meier curve was established to calculate the prognostic value of tRF-33-P4R8YP9LON4VDP for advanced gastric cancer patients. Finally, a multivariate Cox regression analysis was performed to assess the independent prognostic value of tRF-33-P4R8YP9LON4VDP for advanced gastric cancer patients. RESULTS: A detection method for plasma tRF-33-P4R8YP9LON4VDP was successfully established. Levels of plasma tRF-33-P4R8YP9LON4VDP were shown to reflect a gradient change from healthy individuals to gastritis patients to early and advanced gastric cancer patients. Significant differences were found among individuals with differing gastric mucosa, with reduced levels of tRF-33-P4R8YP9LON4VDP significantly related to a poor prognosis. tRF-33-P4R8YP9LON4VDP was found to be an independent predictor of an unfavorable survival outcome. CONCLUSIONS: In this study, we developed a quantitative detection method for plasma tRF-33-P4R8YP9LON4VDP that exhibited hypersensitivity, convenience, and specificity. Detection of tRF-33-P4R8YP9LON4VDP was found to be a valuable means by which to monitor different gastric mucosa and to predict patient prognosis. Frontiers Media S.A. 2023-04-17 /pmc/articles/PMC10151007/ /pubmed/37139153 http://dx.doi.org/10.3389/fonc.2023.1106997 Text en Copyright © 2023 Zhang, Xie, Yu, Ge, Ye and Guo https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Zhang, Shuangshuang Xie, Yaoyao Yu, Xiuchong Ge, Jiaxin Ye, Guoliang Guo, Junming Absolute quantification of a plasma tRNA-derived fragment for the diagnosis and prognosis of gastric cancer |
title | Absolute quantification of a plasma tRNA-derived fragment for the diagnosis and prognosis of gastric cancer |
title_full | Absolute quantification of a plasma tRNA-derived fragment for the diagnosis and prognosis of gastric cancer |
title_fullStr | Absolute quantification of a plasma tRNA-derived fragment for the diagnosis and prognosis of gastric cancer |
title_full_unstemmed | Absolute quantification of a plasma tRNA-derived fragment for the diagnosis and prognosis of gastric cancer |
title_short | Absolute quantification of a plasma tRNA-derived fragment for the diagnosis and prognosis of gastric cancer |
title_sort | absolute quantification of a plasma trna-derived fragment for the diagnosis and prognosis of gastric cancer |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10151007/ https://www.ncbi.nlm.nih.gov/pubmed/37139153 http://dx.doi.org/10.3389/fonc.2023.1106997 |
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