Abstract
Extra-cranial rhabdoid tumors (RT) are highly aggressive malignancies of infancy, characterized by undifferentiated histological features and loss of SMARCB1 expression. The diagnosis is all the more challenging that other poorly differentiated cancers lose SMARCB1 expression, such as epithelioid sarcomas (ES), renal medullary carcinomas (RMC) or undifferentiated chordomas (UC). Moreover, late cases occurring in adults are now increasingly reported, raising the question of differential diagnoses and emphasizing nosological issues. To address this issue, we have analyzed the expression profiles of a training set of 32 SMARCB1-deficient tumors (SDT), with ascertained diagnosis of RT (n = 16, all < 5 years of age), ES (n = 8, all > 10 years of age), UC (n = 3) and RMC (n = 5). As compared with other SDT, RT are characterized by an embryonic signature, and up-regulation of key-actors of de novo DNA methylation processes. Using this signature, we then analysed the expression profiling of 37 SDT to infer the appropriate diagnosis. Thirteen adult onset tumors showed strong similarity with pediatric RT, in spite of older age; by exome sequencing, these tumors also showed genomic features indistinguishable from pediatric RT. In contrary, 8 tumors were reclassified within carcinoma, ES or UC categories, while the remaining could not be related to any of those entities. Our results demonstrate that embryonic signature is shared by all RT, whatever the age at diagnosis; they also illustrate that many adult-onset SDT of ambiguous histological diagnosis are clearly different from RT. Finally, our study paves the way for the routine use of expression-based signatures to give accurate diagnosis of SDT.
Highlights
Rhabdoid tumors (RT) have been initially described as rare morphological variants of Wilms tumors, characterized by the presence of rhabdoid cells in aggressive tumors occurring in infants
In order to base our comparisons on a robust dataset, we decided to first analyse a “training set” composed by tumors for which all criteria, i.e. histological, clinical and genetic features converged to ascertain the diagnosis of RT
We analysed a series of samples with uncertain diagnosis based on the results obtained from the training set
Summary
Rhabdoid tumors (RT) have been initially described as rare morphological variants of Wilms tumors, characterized by the presence of rhabdoid cells in aggressive tumors occurring in infants. They were described in soft-parts and, eventually, brain tumors where they are referred to as “Atypical Teratoid Rhabdoid Tumors” (AT/RT). The genetic hallmark of all rhabdoid tumors is the biallelic inactivation of SMARCB1 tumor suppressor gene [1]. RT could be defined as highly aggressive tumors, potentially deriving from early progenitors, occurring in infants and young children, and driven by SMARCB1 biallelic inactivation as the sole and unique genetic event
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