Well-differentiated lipomatous neoplasms with p53 alterations: A clinicopathologic and molecular study of eight cases with features of atypical pleomorphic lipomatous tumor.

2021 
AIMS Well-differentiated lipomatous neoplasms encompass a broad spectrum of benign and malignant tumors, many of which are characterized by recurrent genetic abnormalities. Although a key regulator of p53 signaling, MDM2, is characteristically amplified in well-differentiated liposarcoma, recurrent abnormalities of p53 itself have not been reported in well-differentiated adipocytic neoplasms. Here, we present a series of well-differentiated lipomatous tumors characterized by p53 alterations and histologic features in keeping with atypical pleomorphic lipomatous tumor (APLT). METHODS AND RESULTS We reviewed the morphologic, immunohistochemical, and molecular genetic features of eight lipomatous tumors with p53 alterations. Four tumors arose in the thigh, and one case each arose in the shoulder, calf, upper back, and subclavicular regions; six tumors were deep/subfascial and two were subcutaneous. Relevant clinical history included two patients with Li-Fraumeni syndrome. Morphologically, all cases demonstrated well-differentiated adipocytes with prominent nuclear pleomorphism, limited mitotic activity, and no tumor cell necrosis. All cases were negative for MDM2 overexpression and amplification by immunohistochemistry and fluorescence in situ hybridization, respectively. By immunohistochemistry, p16 was diffusely overexpressed in all cases; seven tumors (88%) showed abnormal loss of Rb and p53. TP53 mutation or deletion was identified in 4 of 6 tumors evaluated by exon-targeted hybrid capture-based massively parallel sequencing; RB1 mutation or deletion was present in 5 of 6 cases. CONCLUSIONS We present a series of eight well-differentiated lipomatous neoplasms characterized by p53 alterations in addition to Rb loss and histologic features of APLT. These findings suggest that impaired p53 signaling may contribute to the pathogenesis of APLT in a subset of cases.
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