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Placenta · 2020

Human epidermal growth factor receptor 2 fluorescence in situ hybridization and P57KIP2 immunohistochemistry using tissue microarray: Improving histopathological subtyping of hydatidiform mole.

СтатьяНазвание и аннотация: Перевод в очереди
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López Consuelo Lozoya, Figueira Gouvêa Ana Luisa, Rodrigues Fabiana Resende, Braga Antonio, Valente Machado Mirna Daumas, Lopes Vania Silami

Аннотация

INTRODUCTION: Trophoblastic neoplasia is detected in approximately 25% of complete hydatidiform moles (CMs) and 0.5% of partial hydatidiform moles (PMs). Hydatidiform mole (HM) subtyping is important to properly monitor and predict patient outcomes. Ploidy studies generally involve diploid CMs and triploid PMs. P57KIP2, expressed in the maternal genome, is usually not detected in CM. We determined whether HER2 FISH and p57 immunostaining contributed to the histopathological classification of HMs.

METHODS: This retrospective cohort study focused on patients diagnosed with HM by histopathological examination who were followed up at a trophoblastic disease center from 2002 to 2017. Pathological samples of 108 products of conception were reviewed and reclassified according to detailed criteria. Tissue microarray technology (TMA) was used for p57 KIP2 immunostaining and HER2 FISH analysis.

RESULTS: Histopathological review showed 57 (53%) CMs, 47 (43%) PMs and 4 (4%) inconclusive cases. P57 immunostaining revealed 59 (55%) negative and 22 (20%) positive specimens, and 27 (25%) were inadequate for analysis. FISH HER2 detected 68 (63%) diploid and 33 (30%) triploid cases; two (2%) had oncogene amplification. The three strategies led to a diagnostic change in 28 samples (26%). The final diagnosis was CM in 75 cases (70%) and PM in 30 (28%); three cases remained inconclusive.

DISCUSSION: TMA is a cost-saving method that allows the simultaneous study of large case series. The combination of histopathology, HER2 FISH and p57 tests can be useful for accurately differentiating CM and PM, thus providing additional information on disease prognosis.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты