Meta-analysis of SATB2 immunohistochemical expression in colorectal cancer versus primary ovarian mucinous neoplasms

IF 1.5 4区医学 Q3 PATHOLOGY Annals of Diagnostic Pathology Pub Date : 2024-04-16 DOI:10.1016/j.anndiagpath.2024.152302

Barry Maguire , William P. Duggan , Jochen H.M. Prehn , John P. Burke

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Abstract

Background

Reliably distinguishing primary ovarian mucinous neoplasms (POMNs) from metastatic colorectal cancers (CRCs) is both challenging to the histopathologist and of great clinical importance. Special AT-rich sequence binding protein-2 (SATB2) has emerged as a useful diagnostic immunohistochemical marker of colorectal cancer. This meta-analysis compares SATB2 expression in POMNs and CRC.

Methods

A systematic literature search for relevant studies was conducted. Meta-analysis of SATB2 positivity was undertaken using a random effects model.

Results

Seven studies including 711 CRCs and 528 POMNs were included. SATB2 positivity was seen in 81 % (95 % CI: 72–88 %) of CRCs and 4 % (95 % CI: 1–11 %) of POMNs. Variation was seen in immunohistochemical methods used for SATB2 detection and threshold for positivity.

Conclusion

SATB2 staining remains high in CRC and low in POMNs, supporting its use in differentiating these two pathologies with vastly differing prognosis and treatment.

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结直肠癌与原发性卵巢黏液瘤中 SATB2 免疫组化表达的 Meta 分析

背景可靠地区分原发性卵巢粘液瘤（POMN）和转移性结直肠癌（CRC）对组织病理学家来说既具有挑战性，又具有重要的临床意义。特殊富AT序列结合蛋白-2（SATB2）已成为诊断结直肠癌的有用免疫组化标记物。这项荟萃分析比较了 SATB2 在 POMNs 和 CRC 中的表达情况。结果纳入了七项研究，包括 711 例 CRC 和 528 例 POMN。81%（95% CI：72-88%）的 CRC 和 4%（95% CI：1-11%）的 POMN 可见 SATB2 阳性。结论SATB2在CRC中的染色率仍然很高，而在POMN中的染色率很低，这表明SATB2可用于区分这两种预后和治疗方法大相径庭的病变。

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

Annals of Diagnostic Pathology 医学-病理学

CiteScore

3.90

自引率

5.00%

发文量

149

审稿时长

26 days

期刊介绍： A peer-reviewed journal devoted to the publication of articles dealing with traditional morphologic studies using standard diagnostic techniques and stressing clinicopathological correlations and scientific observation of relevance to the daily practice of pathology. Special features include pathologic-radiologic correlations and pathologic-cytologic correlations.