The utility of splicing factor SRSF1 in gliomas grading: A meta-analysis.

Q3 Medicine
Mona Mlika, Mohamed Majdi Zorgati, Aymen Makhlouf, Faouzi Mezni
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引用次数: 0

Abstract

Introduction: The grading of glial tumors is based on morphological and sometimes on molecular features. Many markers have been assessed in order to grade the glial tumours without a real consensus. Some authors reported that SRSF1, a spiling factor, presents an expression correlated to the tumours grades.

Aim: In this study, we aimed to assess the utility of the SRSF1 into the grading of gliomas based on its immunohistochemical expression.

Methods: The authors conducted a meta-analysis under the PRISMA guidelines during a 10-year-period (2013-2023). The Meta-Disc software 5.4 (free version) was used. Q test and I2 statistics were carried out to explore the heterogeneity among studies. Meta-regression was performed in case of significant heterogeneity. Publication bias was assessed using the funnel plot test and the Egger's test (free version JASP).

Results: According to the inclusion criteria, 4 studies from 193 articles were included. The pooled SEN, SPE and DOR accounted respectively for 0.592, 0.565 and 1.852. The AUC was estimated to 0.558 suggesting a bad diagnostic accuracy. The heterogeneity in the pooled SEN and SPE was statistically significant. The meta-regression analysis focusing on the technique used, the clones, the dilution, the interpretation technique revealed no covariate factors (P>0.05).

Conclusion: Even if this meta-analysis highlighted the absence of a real diagnostic utility of the SRSF1 in grading the glial tumours, the heterogeneity revealed reinforces the need for more prospective studies performed according to the quality assessment criteria.

剪接因子 SRSF1 在胶质瘤分级中的作用:荟萃分析
导言胶质瘤的分级基于形态学特征,有时也基于分子特征。为了对胶质瘤进行分级,对许多标记物进行了评估,但并未达成真正的共识。目的:在本研究中,我们旨在根据 SRSF1 的免疫组化表达评估其在胶质瘤分级中的作用:作者根据 PRISMA 指南进行了一项为期 10 年(2013-2023 年)的荟萃分析。使用了 Meta-Disc 软件 5.4(免费版)。通过 Q 检验和 I2 统计来探讨研究之间的异质性。如果存在显著的异质性,则进行元回归。使用漏斗图检验和 Egger 检验(免费版 JASP)评估发表偏倚:根据纳入标准,193 篇文章中的 4 项研究被纳入。汇总的 SEN、SPE 和 DOR 分别为 0.592、0.565 和 1.852。AUC估计为0.558,表明诊断准确性较差。汇总 SEN 和 SPE 的异质性具有显著的统计学意义。以所用技术、克隆、稀释、解释技术为重点的元回归分析没有发现协变量因素(P>0.05):尽管这项荟萃分析强调了 SRSF1 在胶质瘤分级中没有真正的诊断作用,但所揭示的异质性加强了根据质量评估标准进行更多前瞻性研究的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Tunisie Medicale
Tunisie Medicale Medicine-Medicine (all)
CiteScore
1.00
自引率
0.00%
发文量
72
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