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The Value of miR-296 and miR-517c in Evaluating the Prognosis of Patients with Glioma after Radiotherapy and Chemotherapy
OBJECTIVE: To explore the value of miR-296 and miR-517c in evaluating the prognosis of patients with glioma after radiotherapy and chemotherapy. METHODS: 732 patients with glioma were selected from January 2012 to January 2018. According to the effect of postoperative chemotherapy, the patients were...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8702355/ https://www.ncbi.nlm.nih.gov/pubmed/34956365 http://dx.doi.org/10.1155/2021/6082458 |
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author | Wang, Weiyu Shi, Aigang Lei, Bing Yang, Kaichuang Zhang, Weihua An, Peng |
author_facet | Wang, Weiyu Shi, Aigang Lei, Bing Yang, Kaichuang Zhang, Weihua An, Peng |
author_sort | Wang, Weiyu |
collection | PubMed |
description | OBJECTIVE: To explore the value of miR-296 and miR-517c in evaluating the prognosis of patients with glioma after radiotherapy and chemotherapy. METHODS: 732 patients with glioma were selected from January 2012 to January 2018. According to the effect of postoperative chemotherapy, the patients were divided into two groups: the effective group and the ineffective group. The serum miR-296, miR-517c, and clinicopathological parameters of the two groups before chemotherapy were compared. The factors affecting the sensitivity of radiotherapy and chemotherapy and the predictive efficacy of miR-296 and miR-517c on the prognosis of patients were analyzed. RESULTS: The expression level of miR-296 in glioma tissue was significantly correlated with tumor pathological grade and depth of invasion (P < 0.05), and the expression level of miR-296 in glioma tissue was significantly correlated with tumor pathological grade (P < 0.05). Logistic regression analysis showed that tumor size, WHO grade, and serum miR-296 and miR-517c levels were all factors affecting chemosensitivity (P < 0.05). The sensitivity, specificity, accuracy, and AUC of serum miR-296 prediction were 76.95%, 89.64%, 85.35%, and 0.891, respectively. The sensitivity, specificity, accuracy, and AUC of serum miR-517c prediction were 72.81%, 86.50%, 82.19%, and 0.739, respectively. CONCLUSION: miR-296 and miR-517c are closely related to the chemosensitivity and prognosis of glioma patients. High levels of miR-296 and miR-517c can enhance chemosensitivity and serve as reliable indexes to predict the prognosis of patients with glioma. |
format | Online Article Text |
id | pubmed-8702355 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-87023552021-12-24 The Value of miR-296 and miR-517c in Evaluating the Prognosis of Patients with Glioma after Radiotherapy and Chemotherapy Wang, Weiyu Shi, Aigang Lei, Bing Yang, Kaichuang Zhang, Weihua An, Peng J Oncol Research Article OBJECTIVE: To explore the value of miR-296 and miR-517c in evaluating the prognosis of patients with glioma after radiotherapy and chemotherapy. METHODS: 732 patients with glioma were selected from January 2012 to January 2018. According to the effect of postoperative chemotherapy, the patients were divided into two groups: the effective group and the ineffective group. The serum miR-296, miR-517c, and clinicopathological parameters of the two groups before chemotherapy were compared. The factors affecting the sensitivity of radiotherapy and chemotherapy and the predictive efficacy of miR-296 and miR-517c on the prognosis of patients were analyzed. RESULTS: The expression level of miR-296 in glioma tissue was significantly correlated with tumor pathological grade and depth of invasion (P < 0.05), and the expression level of miR-296 in glioma tissue was significantly correlated with tumor pathological grade (P < 0.05). Logistic regression analysis showed that tumor size, WHO grade, and serum miR-296 and miR-517c levels were all factors affecting chemosensitivity (P < 0.05). The sensitivity, specificity, accuracy, and AUC of serum miR-296 prediction were 76.95%, 89.64%, 85.35%, and 0.891, respectively. The sensitivity, specificity, accuracy, and AUC of serum miR-517c prediction were 72.81%, 86.50%, 82.19%, and 0.739, respectively. CONCLUSION: miR-296 and miR-517c are closely related to the chemosensitivity and prognosis of glioma patients. High levels of miR-296 and miR-517c can enhance chemosensitivity and serve as reliable indexes to predict the prognosis of patients with glioma. Hindawi 2021-12-16 /pmc/articles/PMC8702355/ /pubmed/34956365 http://dx.doi.org/10.1155/2021/6082458 Text en Copyright © 2021 Weiyu Wang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Wang, Weiyu Shi, Aigang Lei, Bing Yang, Kaichuang Zhang, Weihua An, Peng The Value of miR-296 and miR-517c in Evaluating the Prognosis of Patients with Glioma after Radiotherapy and Chemotherapy |
title | The Value of miR-296 and miR-517c in Evaluating the Prognosis of Patients with Glioma after Radiotherapy and Chemotherapy |
title_full | The Value of miR-296 and miR-517c in Evaluating the Prognosis of Patients with Glioma after Radiotherapy and Chemotherapy |
title_fullStr | The Value of miR-296 and miR-517c in Evaluating the Prognosis of Patients with Glioma after Radiotherapy and Chemotherapy |
title_full_unstemmed | The Value of miR-296 and miR-517c in Evaluating the Prognosis of Patients with Glioma after Radiotherapy and Chemotherapy |
title_short | The Value of miR-296 and miR-517c in Evaluating the Prognosis of Patients with Glioma after Radiotherapy and Chemotherapy |
title_sort | value of mir-296 and mir-517c in evaluating the prognosis of patients with glioma after radiotherapy and chemotherapy |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8702355/ https://www.ncbi.nlm.nih.gov/pubmed/34956365 http://dx.doi.org/10.1155/2021/6082458 |
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