FOXL2 mutation and large-scale genomic imbalances in adult granulosa cell tumors of the ovary.

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作者:

Geiersbach KBJarboe EAJahromi MSBaker CLPaxton CNTripp SRSchiffman JD

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摘要:

Adult granulosa cell tumors (AGCTs) are a rare class of ovarian tumors with recurrent cytogenetic abnormalities including trisomy 12, trisomy 14, monosomy 16/deletion 16q, and monosomy 22. Over 90% contain a missense point mutation (C134W) in the FOXL2 gene at 3q22.3. The relationship between FOXL2 mutation and cytogenetic abnormalities is unclear, although both are presumably early events in tumorigenesis. In addition, FOXL2 C134W mutant allele imbalance has been noted in a minority of AGCTs, but the mechanism for allelic imbalance has not yet been described. We used a microarray platform designed for formalin-fixed, paraffin-embedded (FFPE) tissue specimens, the Affymetrix OncoScan FFPE Express 330K Molecular Inversion Probe (MIP) array, to explore the correlation between genomic imbalances detected by microarray and FOXL2 mutation status detected by pyrosequencing in a series of 21 archived AGCTs. Tumors were characterized by histopathologic features, stage, and alpha-inhibin expression by immunohistochemistry. All tumors were positive for inhibin, and 18/21 tumors contained a FOXL2 mutation. The most common genomic imbalances were a gain of 14q, a loss of 16q, and a loss of 22q. Three tumors showed evidence of FOXL2 mutant allele imbalance by pyrosequencing; microarray revealed a 32.5 Mb deletion encompassing FOXL2 in 1 case and a 70.9 Mb stretch of homozygosity encompassing FOXL2 in the other case. The third case, with a FOXL2 mutant allele imbalance, showed a diminished mutant allele population (32%) despite high estimated tumor content (>90%), suggesting tumor heterogeneity for the mutation. This study provides the first correlation of FOXL2 mutation status and genomic imbalances in AGCTs, and it further elucidates the mechanisms for mutant allele imbalance in cancer.

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DOI:

10.1016/j.cancergen.2011.10.002

被引量:

11

年份:

2011

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来源期刊

Cancer Genetics

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