👤 Marc Ladanyi

Hepatoid lung carcinomas, similar to hepatoid carcinomas of other sites, are defined as extrahepatic tumors exhibiting divergent hepatocellular differentiation. Uniquely, hepatoid carcinomas of lung origin are reported to commonly express only hepatocyte paraffin 1 (HepPar1)-a hepatocellular marker, which recognizes mitochondrial enzyme carbamoyl-phosphate synthetase-1 (CPS1). Recently, HepPar1/CPS1 was found to accumulate in lung adenocarcinomas (LUADs) harboring STK11mutations, presumably as a genotype-associated metabolic adaptation. The impact of these insights on the concept of hepatoid lung carcinoma has not been explored. Here, we performed a detailed clinicopathologic and genomic analysis of carcinomas prospectively regarded as hepatoid with isolated HepPar1 expression (n = 17). We found that although robustly positive for HepPar1, these tumors were entirely negative for an extended panel of other hepatocellular markers (alpha-fetoprotein, Arginase1, Glypican3, and albumin-in situ hybridization). Morphologically, tumors exhibited solid-trabecular architecture with expanded granular-vacuolated-clear cytoplasm, thus evoking hepatoid morphology; however, focal-to-moderate intracytoplasmic mucin was consistently present, and hepatoid resemblance was variable. Pneumocytic markers (TTF1 and Napsin A) were entirely negative (except for cytoplasmic TTF1), commonly leading to diagnostic challenges at metastatic sites. Remarkably, next-generation sequencing revealed invariable STK11 mutations/loss (P < .00001 vs unselected LUAD, n > 2.5K). Patient survival was dismal (median, 5.8 vs 25 months for stage-matched LUAD, P = .0002). Tumors harbored high mitochondrial content by electron microscopy and other methods. For comparison, we reviewed conventional, predominantly acinar LUAD with HepPar1 expression (n = 22) and found that they also lacked any other hepatocellular markers, had invariable STK11 mutations/loss, increased granular cytoplasm, lower TTF1, and poor prognosis. We conclude that isolated HepPar1 expression in LUAD reflects mitochondrial adaptation to STK11 mutations rather than bona fide hepatocellular differentiation, and that HepPar1-expressing solid and granular adenocarcinomas represent an undifferentiated (solid, TTF1 negative) variant in this spectrum of tumors. Recognition of these tumors is warranted due to their exceptionally aggressive behavior, distinct pathogenomic features, and common association with diagnostic challenges. Show less

Although molecular tests developed for a growing list of oncogenic alterations have significantly aided in the classification of head and neck carcinomas, tumours in which prototypical histologic and immunophenotypic features are lacking or only partially developed continue to pose diagnostic challenges. Searching for known diagnostic and therapeutic targets by clinical next-generation sequencing (NGS) assays can often lead to new discoveries. We present our institutional experience in applying targeted RNA NGS in 36 head and neck carcinomas that were morphologically difficult to classify between 2016 and 2023. The patients ranged in age from 5 to 83 years (median, 64), with the majority of tumors occurring in the major salivary glands and the sinonasal tract. Overall, seven (19%) cases showed unusual gene rearrangements, including five novel alterations: MON2::STAT6 in a hard palate adenocarcinoma with mucinous features, POC5::RAF1 in apocrine intraductal carcinoma of the lacrimal gland, EWSR1::CDADC1 fusion in a basaloid carcinoma of the submandibular gland, NFATC2::NUTM2B in myoepithelial carcinoma, and NSD3::NCOA2 fusion in a peculiar high-grade carcinoma with a peritheliomatous growth pattern, and focal myogenic differentiation. Potential therapeutic actionability was identified in three cases (RAF1 and FGFR2 fusions). These findings broaden the current spectrum of gene rearrangements in head and neck carcinomas and support the utility of clinical NGS in identifying unusual, actionable alterations in diagnostically challenging cases. Show less

DNA methylation is an essential molecular assay for central nervous system (CNS) tumor diagnostics. While some fusions define specific brain tumors, others occur across many different diagnoses. We performed a retrospective analysis of 219 primary CNS tumors with whole genome DNA methylation and RNA next-generation sequencing. DNA methylation profiling results were compared with RNAseq detected gene fusions. We detected 105 rare fusions involving 31 driver genes, including 23 fusions previously not implicated in brain tumors. In addition, we identified 6 multi-fusion tumors. Rare fusions and multi-fusion events can impact the diagnostic accuracy of DNA methylation by decreasing confidence in the result, such as BRAF, RAF, or FGFR1 fusions, or result in a complete mismatch, such as NTRK, EWSR1, FGFR, and ALK fusions. DNA methylation signatures need to be interpreted in the context of pathology and discordant results warrant testing for novel and rare gene fusions. Show less