Intestinal-Type Adenocarcinoma in Head and Neck: Dissecting Oncogenic Gene Alterations Through Whole Transcriptome and Exome Analysis.

Adenocarcinomas of the nasal/paranasal sinuses are uncommon, but intestinal-type adenocarcinomas (ITACs) are important. Due to the rarity of these tumors, their molecular profile is not well known. To further investigate the molecular profile and find potential oncogenic drivers, we compared the whole transcriptome and exome of ITACs at different anatomic locations in the head and neck. Twenty-one head and neck adenocarcinomas were used in this study, divided into 10 sinonasal adenocarcinomas (SNT) and 11 extrasinonasal (T) head and neck adenocarcinomas according to anatomic location and histology. Tumor samples along with normal mucosa were microdissected from formalin-fixed, paraffin-embedded samples, and RNA and DNA were subjected to whole-transcriptome and -exome shotgun sequencing. Analysis of ITACs at sinonasal locations showed 410 subtype-specific differentially expressed (DE) genes and noncoding transcripts compared with the group of other anatomic locations, with 2909 subtype-specific DE genes. The groups shared 872 genes, with 17 highly different or opposing DE genes. Whole-exome mutation analysis revealed the gene MLL3 (KMT2C) to be exhibiting the most frequent loss-of-function mutations in all adenocarcinomas investigated. The results suggest that the head and neck ITACs investigated were mainly caused by loss-of-function mutations in MLL3 that disabled chromatin methylation and remodeling of all MLL3-targeted enhancers in the tumors. This changed the activity of multiple genes/gene clusters, supporting oncogenicity mostly via pathways of signaling, dedifferentiation, proliferation, migration, and immune and inflammatory deregulation, indicating a truly epigenetic event as the root cause for the heterogenous diversity of these enteric types of cancer. The data of this study form the basis for understanding cell fate determination and cellular homeostasis in the normal respiratory mucosa at different anatomic sites and show the contribution of different mucosal components to the etiology/molecular pathology of ITAC.

Magnifying glass on spiradenoma and cylindroma histogenesis and tumorigenesis using systematic transcriptome analysis.

Spiradenoma and cylindroma are related sweat gland tumors. To delineate their histogenesis, gene profiles, and their potential drivers, we performed a whole-transcriptome sequencing analysis of fourteen samples of spiradenoma/cylindroma in comparison to normal samples. A total of 12 spiradenomas, 5 cylindromas, 3 hybrid spiradenomas/cylindromas and 2 adnexal carcinomas were included in this study. 1335 characteristic genes and transcripts expressed over all 14 spiradenoma/cylindroma tumors were identified, and two groups of expression profiles were observed. Highest upregulated top 7 gene signatures characterized benign tumors with developmental and differentiation related genes, and carcinomas with top 7 genes mainly related to signaling, reorganization and metabolism of membranes. Immunohistochemistry of protein expressions validated 4 upregulated genes (ODAM, HOXB13, MYB and SOX10) considered important and as potential biomarkers for spiradenomas and cylindromas. We further compared the transcriptome of eccrine adnexal tumors with the transcriptome of adenoid cystic carcinoma (ACC) to identify the overlapping genes that may indicate histogenesis. There were 36 specific genes overlapping between adnexal carcinomas and the epithelial-dominant subtype of ACC, and 27 specific genes overlapping benign adnexal tumors with the myoepithelial-dominant subtype of ACC, At this point there is no known specific biomarker to aid in the diagnosis of eccrine spiradenoma and cylindroma in small samples or biopsies within the context of morphological overlap with ACC. In conclusion, spiradenomas and cylindromas are characterized by overexpressed developmental genes, where LHX2 and activated WNT signaling possibly drive associated carcinomas.

In-depth characterization of the salivary adenoid cystic carcinoma transcriptome with emphasis on dominant cell type.

BACKGROUND: Adenoid cystic carcinoma (ACC), 1 of the most common salivary gland malignancies, arises from the intercalated ducts, which are composed of inner ductal epithelial cells and outer myoepithelial cells. The objective of this study was to determine the genomic subtypes of ACC with emphasis on dominant cell type to identify potential specific biomarkers for each subtype and to improve the understanding of this disease. METHODS: A whole-genome expression study was performed based on 42 primary salivary ACCs and 5 normal salivary glands. RNA from these specimens was subjected to expression profiling with RNA sequencing, and results were analyzed to identify transcripts in epithelial-dominant ACC (E-ACC), myoepithelial-dominant ACC (M-ACC), and all ACC that were expressed differentially compared with the transcripts in normal salivary tissue. RESULTS: In total, the authors identified 430 differentially expressed transcripts that were unique to E-ACC, 392 that were unique to M-ACC, and 424 that were common to both M-ACC and E-ACC. The sets of E-ACC-specific and M-ACC-specific transcripts were sufficiently large to define and differentiate E-ACC from M-ACC. Ingenuity pathway analysis identified known cancer-related genes for 60% of the E-ACC transcripts, 69% of the M-ACC transcripts, and 68% of the transcripts that were common in both E-ACC and M-ACC. Three sets of highly expressed candidate genes-distal-less homeobox 6 (DLX6) for E-ACC; protein keratin 16 (KRT16), SRY box 11 (SOX11), and v-myb avian myeloblastosis viral oncogene homolog (MYB) for M-ACC; and engrailed 1 (EN1) and statherin (STATH), which are common to both E-ACC and M-ACC)-were further validated at the protein level. CONCLUSIONS: The current results enabled the authors to identify novel potential therapeutic targets and biomarkers in E-ACC and M-ACC individually, with the implication that EN1, DLX6, and OTX1 (orthodenticle homeobox 1) are potential drivers of these cancers. Cancer 2016;122:1513-22. © 2016 American Cancer Society.

Comparative transcriptome analysis of sinonasal inverted papilloma and associated squamous cell carcinoma: Out-HOXing developmental genes.

BACKGROUND: Sinonasal papilloma has a tendency toward local destruction, recurrence, and malignant transformation. This study aimed to unravel mechanisms in the malignant transformation of sinonasal papillomas using RNA-seq. METHODS: The cohort consisted of 37 consecutive patients; tumor histology included a continuum spectrum (sinonasal papillomas/dysplastic/carcinomas-in-situ/invasive squamous cell carcinomas). These were microdissected and RNA was subjected to whole-transcriptome shotgun sequencing. RESULTS: RNA-seq and pathway analysis showed that the highest expressed genes/potential drivers were development- and differentiation-related genes. The protein expression of six highly upregulated genes (HOXA9, EN1, DUX4, CA9, CD1a, and CK5/6) validated the RNA-seq results. HOXA9 and CA9 were found to be expressed in most of the carcinoma samples but were largely negative in papillomas; all of the CA9-negative carcinomas were recurrent. CONCLUSIONS: We conclude that sinonasal carcinomas arising from papillomas are mainly defined by overexpressed developmental/homeobox genes, which provide the potential for transformation/plasticity, along with differentiation and proliferation behavior of neoplastic cells. Our results support HOXA9 and CA9 as biomarkers for carcinomas, with CA9 emerging as a predictive marker of recurrence.

Transcriptome comparison identifies potential biomarkers of spine and skull base chordomas.

Chordomas are rare, slowly growing, locally aggressive bone neoplasms that arise from embryonic remnants of the notochord, showing dual epithelial-mesenchymal differentiation. The high plasticity probably is the main reason for the high variety in phenotypes of chordoma, from its high heterogeneity on a cellular level to its subtype variations depending on tissue location, with its potential to develop from an inactive quiescent form to an aggressive cancer with extreme adaptability and resistance to drugs and other treatments. Gene expression profiles of formalin-fixed, paraffin-embedded skull chordoma, spine chordoma, and normal tissue specimens were generated and compared. Using strict criteria, we identified 222 differentially expressed transcripts unique to skull base chordoma, 261 unique to spine chordoma, and 192 common to both chordoma subtypes. Further analysis of these three groups of transcripts allowed the selection of three subsets of highly differentially expressed genes as potential biomarkers, disease drivers, and therapeutic targets in both chordoma subtypes. Immunohistochemistry revealed LMX1A to be dominant in skull base chordoma, SALL3 to be unique to spine chordoma, and T to be common to both chordoma subtypes. In both chordoma subtypes, the genes with the highest expression were predominantly development-related genes, mostly transcription factors. Our findings indicate that these developmental genes play important oncogenic roles in chordoma, mainly causing high plasticity and resistance to therapy in both these cancer subtypes but also determining their differentiation status and proliferation activity, pointing to features expected of heterogeneous stem cell-like tissues with similarities to their notochord origins.

Isoflurane modulates genomic expression in rat amygdala.

General anesthesia, at a minimum, provides amnesia and unresponsiveness. Although anesthetics have many modulatory effects on neuronal ionophore protein complexes, it is not clear that the resulting electrophysiologic changes are the sole mechanisms of clinical anesthetic action. Cells respond to environmental changes in several ways, including alterations in DNA transcription leading to changes in the cell's proteins. We sought to expose the changes in global genomic expression, seeking potential targets involved in the processes of anesthetic-induced amnesia, and persistent long-term side effects of general anesthesia, including nausea and postoperative cognitive decline. Using Affymetrix GeneChips, we surveyed changes in expression across the entire expressed genome of Sprague-Dawley rat (n = 10 baseline, n = 6 isoflurane) basolateral amygdala 6 h after exposure to 15 min of 2% (1.4 MAC) isoflurane. Isoflurane administration was associated with altered expression in 269 unique genes possessing functional annotation. Affected genes were related to DNA transcription, protein synthesis, metabolism, signaling cascades, cytoskeletal structural proteins, and neural-specific proteins, among others. Even brief exposure to isoflurane leads to widespread changes in the genetic control in the amygdala 6 h after exposure. Gene expression is a dynamic process that may explain some long-term effects of anesthesia and that has the potential to modulate some of those effects using specific molecular therapeutics.

Whole-transcriptome analysis of chordoma of the skull base.

Fourteen skull base chordoma specimens and three normal specimens were microdissected from paraffin-embedded tissue. Pools of RNA from highly enriched preparations of these cell types were subjected to expression profiling using whole-transcriptome shotgun sequencing. Using strict criteria, 294 differentially expressed transcripts were found, with 28 % upregulated and 72 % downregulated. The transcripts were annotated using NCBI Entrez Gene and computationally analyzed with the Ingenuity Pathway Analysis program. From these significantly changed expressions, the analysis identified 222 cancer-related transcripts. These 294 differentially expressed genes and non-coding RNA transcripts provide here a set to specifically define skull base chordomas and to identify novel and potentially important targets for diagnosis, prognosis, and therapy of this cancer. Significance Genomic profiling to subtype skull base chordoma reveals potential candidates for specific biomarkers, with validation by IHC for selected candidates. The highly expressed developmental genes T, LMX1A, ZIC4, LHX4, and HOXA1 may be potential drivers of this disease.