Immunohistochemical Expression of MUC4 in Different Meningioma Subtypes in Comparison to Some Mesenchymal Non-Meningothelial Tumors

Autor: Kareman Mansour, Heba A. Ibrahim, Dalal Anwar Elwi, Sara E Khalifa
Rok vydání: 2021
Předmět:
Zdroj: Open Access Macedonian Journal of Medical Sciences. 9:626-631
ISSN: 1857-9655
DOI: 10.3889/oamjms.2021.6783
Popis: BACKGROUND: Meningiomas are the most common primary tumors of the central nervous system worldwide. Routinely used immunohistochemical markers for diagnosis of confusing meningioma cases as epithelial membrane antigen lack specificity and sensitivity. MUC4 is glycosylated membrane-associated mucin expressed by normal epithelia and many cancers. However, it is recently noticed to be expressed in meningiomas. AIM: Intensity of MUC4 expression is needed to be verified whether it is the same among different subtypes or not. MATERIALS AND METHODS: Fifty cases of different intracranial meningioma subtypes and thirty cases of mesenchymal nonmeningothelial tumors were immunohistochemically stained with MUC4 antibody. The results of MUC4 expression intensity were associated with some clinical and pathological parameters. RESULTS: Most studied meningioma cases (84%) showed positive MUC4 expression. Meningothelial meningioma subtype showed characteristic pattern of diffuse and moderate to strong MUC4 staining. While fibroblastic meningioma showed mostly negative staining pattern and focal weak staining pattern if positive. A statistically significant relationship was detected between tumor subtype and intensity of MUC4 expression. On contrary, most included mesenchymal cases were MUC4 negative with statistical significance. Hence, the sensitivity of MUC4 as diagnostic marker for meningioma was 84%, while the specificity was 93.3%. Furthermore, meningioma histologic subtype showed significant relationship with age. CONCLUSION: The current study results suggest that MUC4 could be used as meningioma diagnostic marker with some limitations. Moreover, meningioma should be included in the differential diagnosis of MUC4 positive tumors.
Databáze: OpenAIRE