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Adrenocortical carcinoma (ACC) is a rare cancer in which tissue-specific differentiation is paradoxically associated with dismal outcomes. The differentiated ACC subtype CIMP-high is prevalent, incurable, and routinely fatal. CIMP-high ACC possess abnormal DNA methylation and frequent β-catenin activating mutations. Here, we demonstrated that ACC differentiation is maintained by a balance between nuclear, tissue-specific β-catenin-containing complexes and the epigenome. On chromatin, β-catenin bound master adrenal transcription factor SF1 and hijacked the adrenocortical super-enhancer landscape to maintain differentiation in CIMP-high ACC; off chromatin, β-catenin bound histone methyltransferase EZH2. SF1/β-catenin and EZH2/β-catenin complexes present in normal adrenals persisted through all phases of ACC evolution. Pharmacologic EZH2 inhibition in CIMP-high ACC expelled SF1/β-catenin from chromatin and favored EZH2/β-catenin assembly, erasing differentiation and restraining cancer growth in vitro and in vivo. These studies illustrate how tissue-specific programs shape oncogene selection, surreptitiously encoding targetable therapeutic vulnerabilities.

Supplementary Data from Molecular Classification and Prognostication of Adrenocortical Tumors by Transcriptome Profiling

Complete clinical and molecular data of all samples used in this study.

Results of DMRcate analysis on ACC-TCGA non-CIMP-high v. CIMP-high.

Results of differentially expressed genes analysis on ACC-TCGA CIMP-high v. non-CIMP-high and results of gene ontology analysis on ACC-TCGA CIMP-high v. non-CIMP-high.

Purpose:Adrenocortical carcinoma (ACC) is a rare, aggressive malignancy with few therapies; however, patients with locoregional disease have variable outcomes. The Cancer Genome Atlas project on ACC (ACC-TCGA) identified that cancers of patients with homogeneously rapidly recurrent or fatal disease bear a unique CpG island hypermethylation phenotype, “CIMP-high.” We sought to identify a biomarker that faithfully captures this subgroup.Experimental Design: We analyzed ACC-TCGA data to characterize differentially regulated biological processes, and identify a biomarker that is methylated and silenced exclusively in CIMP-high ACC. In an independent cohort of 114 adrenocortical tumors (80 treatment-naive primary ACC, 22 adrenocortical adenomas, and 12 non-naive/nonprimary ACC), we evaluated biomarker methylation by a restriction digest/qPCR-based approach, validated by targeted bisulfite sequencing. We evaluated expression of this biomarker and additional prognostic markers by qPCR.Results:We show that CIMP-high ACC is characterized by upregulation of cell cycle and DNA damage response programs, and identify that hypermethylation and silencing of G0S2 distinguishes this subgroup. We confirmed G0S2 hypermethylation and silencing is exclusive to 40% of ACC, and independently predicts shorter disease-free and overall survival (median 14 and 17 months, respectively). Finally, G0S2 methylation combined with validated molecular markers (BUB1B-PINK1) stratifies ACC into three groups, with uniformly favorable, intermediate, and uniformly dismal outcomes.Conclusions:G0S2 hypermethylation is a hallmark of rapidly recurrent or fatal ACC, amenable to targeted assessment using routine molecular diagnostics. Assessing G0S2 methylation is straightforward, feasible for clinical decision-making, and will enable the direction of efficacious adjuvant therapies for patients with aggressive ACC.

This compiled PDF includes Supplementary Tables S3, S4, S6, S7, and S8, as follows: Supp. Table S3. G0S2 hypermethylation predicts CIMP-high. Supp. Table S4. Clinical characteristics of FMUSP+UM ACC and ACA Cohorts. Supp. Table S6. EpiTect accurately measures binary G0S2 methylation status. Supp. Table S7. Hypermethylation and silencing of G0S2 is heterogeneous in recurrent, metastatic, and non-treatment naive carcinomas. Supp. Table S8. BUB1B-PINK1 can predict any history of metastasis in patients with G0S2 Unmethylated ACC.

Purpose: Our understanding of adrenocortical carcinoma (ACC) has improved considerably, yet many unanswered questions remain. For instance, can molecular subtypes of ACC be identified? If so, what is their underlying pathogenetic basis and do they possess clinical significance?Experimental Design: We did a whole genome gene expression study of a large cohort of adrenocortical tissues annotated with clinicopathologic data. Using Affymetrix Human Genome U133 Plus 2.0 oligonucleotide arrays, transcriptional profiles were generated for 10 normal adrenal cortices (NC), 22 adrenocortical adenomas (ACA), and 33 ACCs.Results: The overall classification of adrenocortical tumors was recapitulated using principal component analysis of the entire data set. The NC and ACA cohorts showed little intragroup variation, whereas the ACC cohort revealed much greater variation in gene expression. A robust list of 2,875 differentially expressed genes in ACC compared with both NC and ACA was generated and used in functional enrichment analysis to find pathways and attributes of biological significance. Cluster analysis of the ACCs revealed two subtypes that reflected tumor proliferation, as measured by mitotic counts and cell cycle genes. Kaplan-Meier analysis of these ACC clusters showed a significant difference in survival (P < 0.020). Multivariate Cox modeling using stage, mitotic rate, and gene expression data as measured by the first principal component for ACC samples showed that gene expression data contains significant independent prognostic information (P < 0.017).Conclusions: This study lays the foundation for the molecular classification and prognostication of adrenocortical tumors and also provides a rich source of potential diagnostic and prognostic markers.

Results of G0S2 targeted bisulfite sequencing.

Adrenocortical carcinoma (ACC) is a rare cancer in which tissue-specific differentiation is paradoxically associated with dismal outcomes. The differentiated ACC subtype CIMP-high is prevalent, incurable, and routinely fatal. CIMP-high ACC possess abnormal DNA methylation and frequent β-catenin activating mutations. Here, we demonstrate that ACC differentiation is maintained by a balance between nuclear, tissue-specific β-catenin-containing complexes and the epigenome. On chromatin, β-catenin binds master adrenal transcription factor SF1 and hijacks the adrenocortical super-enhancer landscape to maintain differentiation. Off chromatin, β-catenin binds histone methyltransferase EZH2, which is redistributed by the CIMP-high DNA methylation signature. SF1/β-catenin and EZH2/β-catenin complexes exist in normal adrenals and are selected for through all phases of ACC evolution. Pharmacologic EZH2 inhibition in CIMP-high ACC favors EZH2/β-catenin assembly and purges SF1/β-catenin from chromatin, erasing differentiation and restraining cancer growth in vitro and in vivo. Our studies illustrate how tissue-specific programs shape oncogene selection, surreptitiously encoding targetable therapeutic vulnerabilities.

Purpose: Adrenocortical carcinoma (ACC) is a rare, aggressive malignancy with few therapies; however, patients with locoregional disease have variable outcomes. The Cancer Genome Atlas project on ACC (ACC-TCGA) identified that cancers of patients with homogeneously rapidly recurrent or fatal disease bear a unique CpG island hypermethylation phenotype, “CIMP-high.” We sought to identify a biomarker that faithfully captures this subgroup. Experimental Design: We analyzed ACC-TCGA data to characterize differentially regulated biological processes, and identify a biomarker that is methylated and silenced exclusively in CIMP-high ACC. In an independent cohort of 114 adrenocortical tumors (80 treatment-naive primary ACC, 22 adrenocortical adenomas, and 12 non-naive/nonprimary ACC), we evaluated biomarker methylation by a restriction digest/qPCR-based approach, validated by targeted bisulfite sequencing. We evaluated expression of this biomarker and additional prognostic markers by qPCR. Results: We show that CIMP-high ACC is characterized by upregulation of cell cycle and DNA damage response programs, and identify that hypermethylation and silencing of G0S2 distinguishes this subgroup. We confirmed G0S2 hypermethylation and silencing is exclusive to 40% of ACC, and independently predicts shorter disease-free and overall survival (median 14 and 17 months, respectively). Finally, G0S2 methylation combined with validated molecular markers (BUB1B-PINK1) stratifies ACC into three groups, with uniformly favorable, intermediate, and uniformly dismal outcomes. Conclusions: G0S2 hypermethylation is a hallmark of rapidly recurrent or fatal ACC, amenable to targeted assessment using routine molecular diagnostics. Assessing G0S2 methylation is straightforward, feasible for clinical decision-making, and will enable the direction of efficacious adjuvant therapies for patients with aggressive ACC.

Adrenocortical carcinoma (ACC) is a rare, aggressive cancer. Up to 75% of patients develop incurable metastatic disease, highlighting an urgent need for novel medical therapies. We recently identified a rapidly progressive ACC subtype characterized by CpG island hypermethylation (CIMP-high), sustained Wnt/β-catenin signaling, steroidogenic differentiation, and cell cycle activation. CIMP-high status alone accounts for 40% of ACC, but predicts 70% of recurrences and >50% of deaths. Intriguingly, hypermethylated CpG islands in CIMP-high ACC are unmethylated in fetal and adult adrenal cortex, suggesting DNA methylation is supported by cancer-specific mechanisms. We therefore sought to investigate how aberrant epigenetic programming contributes to ACC biology. In embryonic stem cells, the Polycomb repressive complex 2 (PRC2) represses differentiation programs through EZH2-mediated histone H3 lysine 27 trimethylation (H3K27me3) deposition in promoter CpG islands free of DNA methylation. Gain or loss of EZH2/PRC2 function prevails in a variety of human cancers, enabling proliferation in a tissue-specific manner. Here, we identify that CIMP-high ACC exhibit high expression of EZH2/H3K27me3, but paradoxically bear DNA hypermethylation in annotated PRC2 target regions. To determine if DNA methylation of PRC2 targets disrupts or is controlled by EZH2, we characterized EZH2’s role in CIMP-high ACC cell line NCI-H295R at baseline and in response to EZH2 inhibition (EZH2i). EZH2-directed IP-MS revealed EZH2 interacts with PRC2 members and DNA methylation-sensitive accessory proteins, but no DNA methyltransferase machinery. ChIP-seq revealed EZH2 and H3K27me3 colocalize in repressive domains genome-wide, but DNA methylation and H3K27me3 are mutually exclusive. EZH2i induced H3K27 demethylation and loss of viability, but with no effect on CIMP-high DNA methylation. These data suggest PRC2 target DNA methylation in CIMP-high ACC is maintained independently of EZH2, enabling EZH2/PRC2 to coordinate alternative programs required for cell survival. We then measured the consequences of EZH2i on the NCI-H295R transcriptome (RNA-seq), EZH2/H3K27me3 deposition genome-wide (ChIP-seq), and chromatin accessibility landscape (ATAC-seq). EZH2i led to global downregulation of cell cycle, Wnt/β-catenin transcriptional programming, and steroidogenic differentiation, partially explained by EZH2i-induced offloading of EZH2 from H3K27me3 domains to accessible promoters genome-wide. Taken together, our studies illustrate how aberrant CpG island hypermethylation in CIMP-high ACC participates in a targetable repressive epigenetic cascade that reinforces oncogenic adrenocortical transcriptional programs. Ultimately, we hope to illuminate novel strategies for tissue-specific disruption of the aberrant epigenetic wiring that defines CIMP-high ACC.

Adrenocortical carcinoma (ACC) is a rare malignancy with frequently dismal prognosis and few therapies. Patients with locoregional ACC routinely receive surgery and adjuvant mitotane, but >50% recur with metastases even after complete resection. Histological grade (Ki67>10% or >20 mitoses/50 HPF) is the strongest clinical predictor of recurrence, but time to recurrence in patients with high grade disease is variable and patients with low grade disease frequently recur. Recent molecular profiling studies suggest risk stratification by DNA methylation may better identify patients with homogenously dismal outcomes; in The Cancer Genome Atlas study on ACC (ACC-TCGA), we similarly identified that patients with tumors bearing CpG island hypermethylation (CIMP-high) exhibit rapid recurrence and early death. However, clinical translation of this complex molecular signature remains challenging. Here, we reanalyzed ACC-TCGA data and show that CIMP-high ACC is characterized by upregulation of cell cycle and DNA damage response programs, and identify that hypermethylation and silencing of G0S2 distinguishes this subgroup. We evaluated G0S2 methylation in a multi-institutional retrospective cohort of treatment-naive primary ACC (n=80) and adrenocortical adenomas (n=22) using a straightforward, overnight restriction digest/qPCR-based assay, validated by targeted bisulfite sequencing. We identified that G0S2 hypermethylation is exclusive to a subset of ACC (40%). G0S2 hypermethylation is associated with decreased disease-free survival (median DFS=14 mo., HR=6.91, p

We describe a comprehensive genomic characterization of adrenocortical carcinoma (ACC). Using this dataset, we expand the catalogue of known ACC driver genes to include PRKAR1A, RPL22, TERF2, CCNE1, and NF1. Genome wide DNA copy-number analysis revealed frequent occurrence of massive DNA loss followed by whole-genome doubling (WGD), which was associated with aggressive clinical course, suggesting WGD is a hallmark of disease progression. Corroborating this hypothesis were increased TERT expression, decreased telomere length, and activation of cell-cycle programs. Integrated subtype analysis identified three ACC subtypes with distinct clinical outcome and molecular alterations which could be captured by a 68-CpG probe DNA-methylation signature, proposing a strategy for clinical stratification of patients based on molecular markers.

Context: The use of next-generation sequencing has resulted in the identification of recurrent somatic mutations underlying primary aldosteronism (PA). However, significant gaps remain in our understanding of the relationship between tumor aldosterone synthase (CYP11B2) expression and somatic mutation status. Objective: The objective of the study was to investigate tumor CYP11B2 expression and somatic aldosterone-driver gene mutation heterogeneity. Methods: Fifty-one adrenals from 51 PA patients were studied. Immunohistochemistry for CYP11B2 was performed. Aldosterone-producing adenomas with intratumor CYP11B2 heterogeneity were analyzed for mutation status using targeted next-generation sequencing. DNA was isolated from CYP11B2-positive, CYP11B2-negative, and adjacent normal areas from formalin-fixed, paraffin-embedded sections. Results: Of 51 adrenals, seven (14 %) showed distinct heterogeneity in CYP11B2 by immunohistochemistry, including six adenomas with intratumor heterogeneity and one multinodular hyperplastic adrenal with both CYP11B2-positive and -negative nodules. Of the six adrenocortical adenomas with CYP11B2 heterogeneity, three had aldosterone-regulating mutations (CACNA1D p.F747C, KCNJ5 p.L168R, ATP1A1 p.L104R) only in CYP11B2-positive regions, and one had two different mutations localized to two histologically distinct CYP11B2-positive regions (ATP2B3 p.L424_V425del, KCNJ5 p.G151R). Lastly, one adrenal with multiple CYP11B2-expressing nodules showed different mutations in each (CACNA1D p.F747V and ATP1A1 p.L104R), and no mutations were identified in CYP11B2-negative nodule or adjacent normal adrenal. Conclusions: Adrenal tumors in patients with PA can demonstrate clear heterogeneity in CYP11B2 expression and somatic mutations in driver genes for aldosterone production. These findings suggest that aldosterone-producing adenoma tumorigenesis can occur within preexisting nodules through the acquisition of somatic mutations that drive aldosterone production.

PURPOSE: Adrenocortical carcinoma (ACC) is a rare, aggressive malignancy with few therapies; however, patients with locoregional disease have variable outcomes. The Cancer Genome Atlas project on ACC (ACC-TCGA) identified that cancers of patients with homogeneously rapidly recurrent or fatal disease bear a unique CpG island hypermethylation phenotype, “CIMP-high.” We sought to identify a biomarker that faithfully captures this subgroup. EXPERIMENTAL DESIGN: We analyzed ACC-TCGA data to characterize differentially regulated biological processes, and identify a biomarker that is methylated and silenced exclusively in CIMP-high ACC. In an independent cohort of 114 adrenocortical tumors (80 treatment-naive primary ACC, 22 adrenocortical adenomas, and 12 non-naive/non-primary ACC), we evaluated biomarker methylation by a restriction digest/qPCR-based approach, validated by targeted bisulfite sequencing. We evaluated expression of this biomarker and additional prognostic markers by qPCR. RESULTS: We show that CIMP-high ACC is characterized by upregulation of cell cycle and DNA damage response programs, and identify that hypermethylation and silencing of G0S2 distinguishes this subgroup. We confirmed G0S2 hypermethylation and silencing is exclusive to 40% of ACC, and independently predicts shorter disease-free and overall survival (median 14 and 17 months, respectively). Finally, G0S2 methylation combined with validated molecular markers (BUB1B-PINK1) stratifies ACC into three groups, with uniformly favorable, intermediate, and uniformly dismal outcomes. CONCLUSIONS: G0S2 hypermethylation is a hallmark of rapidly recurrent or fatal ACC, amenable to targeted assessment using routine molecular diagnostics. Assessing G0S2 methylation is straightforward, feasible for clinical decision-making, and will enable the direction of efficacious adjuvant therapies for patients with aggressive ACC.

BRAF(V600E) mutation exerts an essential oncogenic function in many tumors, including papillary thyroid carcinoma (PTC). Although BRAF(V600E) inhibitors are available, lack of response has been frequently observed. To study the mechanism underlying intrinsic resistance to the mutant BRAF(V600E) selective inhibitor vemurafenib, we established short-term primary cell cultures of human metastatic/recurrent BRAF(V600E)-PTC, intrathyroidal BRAF(V600E)-PTC, and normal thyroid (NT). We also generated an early intervention model of human BRAF(V600E)-PTC orthotopic mouse. We find that metastatic BRAF(V600E)-PTC cells elicit paracrine-signaling which trigger migration of pericytes, blood endothelial cells and lymphatic endothelial cells as compared to BRAF(WT)-PTC cells, and show a higher rate of invasion. We further show that vemurafenib therapy significantly suppresses these aberrant functions in non-metastatic BRAF(V600E)-PTC cells but lesser in metastatic BRAF(V600E)-PTC cells as compared to vehicle treatment. These results concur with similar folds of down-regulation of tumor microenvironment-associated pro-metastatic molecules, with no effects in BRAF(WT)-PTC and NT cells. Our early intervention preclinical trial shows that vemurafenib delays tumor growth in the orthotopic BRAF(WT/V600E)-PTC mice. Importantly, we identify high copy number gain of MCL1 (chromosome 1q) and loss of CDKN2A (P16, chromosome 9p) in metastatic BRAF(V600E)-PTC cells which are associated with resistance to vemurafenib treatment. Critically, we demonstrate that combined vemurafenib therapy with BCL2/MCL1 inhibitor increases metastatic BRAF(V600E)-PTC cell death and ameliorates response to vemurafenib treatment as compared to single agent treatment. In conclusion, short-term PTC and NT cultures offer a predictive model for evaluating therapeutic response in patients with PTC. Our PTC pre-clinical model suggests that combined targeted therapy might be an important therapeutic strategy for metastatic and refractory BRAF(V600E)-positive PTC.

A significant portion of paragangliomas (PGL) and pheochromocytomas (PCC) occur in patients with hereditary PGL/PCC syndromes, including those with germline mutations in succinate dehydrogenase (SDHx) subunit genes. Recently, germline fumarate hydratase (FH) mutations have been identified in a subset of PGL/PCC, and patients with hereditary leiomyomatosis and renal cell carcinoma (HLRCC) may have an increased risk of developing PGL/PCC. SDHB immunohistochemistry (IHC) has previously been shown to be useful for identifying SDHx-deficient PGL/PCC, however, FH IHC has never been explored in these tumors. Thus, we characterized SDHB and FH IHC in a large cohort of PGL/PCC patients (n = 41) at our institution who were evaluated for hereditary PGL/PCC syndromes. Overall, there was strong, positive correlation between germline SDHx subunit gene mutation status and SDHB IHC status (rφ = 0.77; P < .0001), with high corresponding sensitivity, specificity, positive predictive value, and negative predictive value (95.0%, 81.8%, 82.6%, and 94.7%, respectively). Although SDHB loss by IHC was highly correlated with germline SDHx gene mutations, its utility in this population was dependent on clinicopathologic context: while all head and neck PGL patients with SDHB-deficient tumors had germline SDHx gene mutations, only a small subset (25.0%) of PCC patients with SDHB-deficient tumors harbored a germline SDHx gene mutation. Finally, although our cohort contained only one HLRCC patient, their tumor was FH-deficient by IHC, and all other PGL/PCC showed retained FH IHC. Thus, in the appropriate clinical setting, SDHB and FH IHC may be useful for identifying PGL/PCC patients for Medical Genetics evaluation.

Summary Liver cancer has the second highest worldwide cancer mortality rate and has limited therapeutic options. We analyzed 363 hepatocellular carcinoma (HCC) cases by whole-exome sequencing and DNA copy number analyses, and we analyzed 196 HCC cases by DNA methylation, RNA, miRNA, and proteomic expression also. DNA sequencing and mutation analysis identified significantly mutated genes, including LZTR1 , EEF1A1 , SF3B1 , and SMARCA4 . Significant alterations by mutation or downregulation by hypermethylation in genes likely to result in HCC metabolic reprogramming ( ALB , APOB , and CPS1 ) were observed. Integrative molecular HCC subtyping incorporating unsupervised clustering of five data platforms identified three subtypes, one of which was associated with poorer prognosis in three HCC cohorts. Integrated analyses enabled development of a p53 target gene expression signature correlating with poor survival. Potential therapeutic targets for which inhibitors exist include WNT signaling, MDM4, MET, VEGFA, MCL1, IDH1, TERT, and immune checkpoint proteins CTLA-4, PD-1, and PD-L1.

Molecular testing for oncogenic gene alterations provides clinically actionable information essential for the optimal management of follicular cell thyroid cancer. We aimed to establish the distribution and frequency of common oncogenic gene mutations and chromosomal rearrangements in a comprehensive set of benign and malignant thyroid lesions. A case-control study was conducted in 413 surgical cases comprising 17 distinct histopathologic categories, 244 malignant, 169 benign, and 304 double-blinded specimens. Seventeen alterations of BRAF, HRAS, KRAS, NRAS, PAX8, and RET genes were evaluated using a single validated technology platform. Following verification of analytical sensitivity, accuracy, and precision in model and surgical specimens, 152 molecular positive results were generated in lesions representing multiple stages of progression and epithelial differentiation as well as rare subtypes of primary, secondary, or recurring tumors. Single mutations were found in 58% of primary malignant lesions and 12% of benign (P < .001). In the blinded validation set, mutation distribution and frequency were distinct across variants of follicular and papillary carcinomas. BRAF or RET-PTC was detected exclusively in malignant lesions but not in follicular carcinomas (P < .001). RAS or PAX8-PPARG were present in 23% of adenomas, and NRAS was found in a single nonneoplastic lesion (P = .0014). These data substantiate the diagnostic utility of molecular testing for oncogenic mutations and validate its performance in a variety of surgical specimens. Standardized and validated multianalyte molecular panels can complement the preoperative and postoperative assessment of thyroid nodules and support a growing number of clinical and translational applications with potential diagnostic, prognostic, or theranostic utility.

Purpose: Our understanding of adrenocortical carcinoma (ACC) has improved considerably, yet many unanswered questions remain. For instance, can molecular subtypes of ACC be identified? If so, what is their underlying pathogenetic basis and do they possess clinical significance? Experimental Design: We did a whole genome gene expression study of a large cohort of adrenocortical tissues annotated with clinicopathologic data. Using Affymetrix Human Genome U133 Plus 2.0 oligonucleotide arrays, transcriptional profiles were generated for 10 normal adrenal cortices (NC), 22 adrenocortical adenomas (ACA), and 33 ACCs. Results: The overall classification of adrenocortical tumors was recapitulated using principal component analysis of the entire data set. The NC and ACA cohorts showed little intragroup variation, whereas the ACC cohort revealed much greater variation in gene expression. A robust list of 2,875 differentially expressed genes in ACC compared with both NC and ACA was generated and used in functional enrichment analysis to find pathways and attributes of biological significance. Cluster analysis of the ACCs revealed two subtypes that reflected tumor proliferation, as measured by mitotic counts and cell cycle genes. Kaplan-Meier analysis of these ACC clusters showed a significant difference in survival (P < 0.020). Multivariate Cox modeling using stage, mitotic rate, and gene expression data as measured by the first principal component for ACC samples showed that gene expression data contains significant independent prognostic information (P < 0.017). Conclusions: This study lays the foundation for the molecular classification and prognostication of adrenocortical tumors and also provides a rich source of potential diagnostic and prognostic markers.

A subset of follicular thyroid carcinomas contains a balanced translocation, t(2;3)(q13;p25), that results in fusion of the paired box gene 8 (PAX8) and peroxisome proliferator-activated receptor γ (PPARG) genes with concomitant expression of a PAX8-PPARγ fusion protein, PPFP. PPFP is thought to contribute to neoplasia through a mechanism in which it acts as a dominant-negative inhibitor of wild-type PPARγ. To better understand this type of follicular carcinoma, we generated global gene expression profiles using DNA microarrays of a cohort of follicular carcinomas along with other common thyroid tumors and used the data to derive a gene expression profile characteristic of PPFP-positive tumors. Transient transfection assays using promoters of four genes whose expression was highly associated with the translocation showed that each can be activated by PPFP. PPFP had unique transcriptional activities when compared with PAX8 or PPARγ, although it had the potential to function in ways qualitatively similar to PAX8 or PPARγ depending on the promoter and cellular environment. Bioinformatics analyses revealed that genes with increased expression in PPFP-positive follicular carcinomas include known PPAR target genes; genes involved in fatty acid, amino acid, and carbohydrate metabolism; micro-RNA target genes; and genes on chromosome 3p. These results have implications for the neoplastic mechanism of these follicular carcinomas.

Thyroid cancer poses a significant clinical challenge, and our understanding of its pathogenesis is incomplete. To gain insight into the pathogenesis of papillary thyroid carcinoma, transcriptional profiles of four normal thyroids and 51 papillary carcinomas (PCs) were generated using DNA microarrays. The tumors were genotyped for their common activating mutations: BRAF V600E point mutation, RET/PTC1 and 3 rearrangement and point mutations of KRAS, HRAS and NRAS. Principal component analysis based on the entire expression data set separated the PCs into three groups that were found to reflect tumor morphology and mutational status. By combining expression profiles with mutational status, we defined distinct expression profiles for the BRAF, RET/PTC and RAS mutation groups. Using small numbers of genes, a simple classifier was able to classify correctly the mutational status of all 40 tumors with known mutations. One tumor without a detectable mutation was predicted by the classifier to have a RET/PTC rearrangement and was shown to contain one by fluorescence in situ hybridization analysis. Among the mutation-specific expression signatures were genes whose differential expression was a direct consequence of the mutation, as well as genes involved in a variety of biological processes including immune response and signal transduction. Expression of one mutation-specific differentially expressed gene, TPO, was validated at the protein level using immunohistochemistry and tissue arrays containing an independent set of tumors. The results demonstrate that mutational status is the primary determinant of gene expression variation within these tumors, a finding that may have clinical and diagnostic significance and predicts success for therapies designed to prevent the consequences of these mutations.

Summary Papillary thyroid carcinoma (PTC) is the most common type of thyroid cancer. Here, we describe the genomic landscape of 496 PTCs. We observed a low frequency of somatic alterations (relative to other carcinomas) and extended the set of known PTC driver alterations to include EIF1AX , PPM1D , and CHEK2 and diverse gene fusions. These discoveries reduced the fraction of PTC cases with unknown oncogenic driver from 25% to 3.5%. Combined analyses of genomic variants, gene expression, and methylation demonstrated that different driver groups lead to different pathologies with distinct signaling and differentiation characteristics. Similarly, we identified distinct molecular subgroups of BRAF -mutant tumors, and multidimensional analyses highlighted a potential involvement of oncomiRs in less-differentiated subgroups. Our results propose a reclassification of thyroid cancers into molecular subtypes that better reflect their underlying signaling and differentiation properties, which has the potential to improve their pathological classification and better inform the management of the disease.

Recent publications have reported an association between colon cancer and human papillomaviruses (HPV), suggesting that HPV infection of the colonic mucosa may contribute to the development of colorectal cancer. The GP5+/GP6+ PCR reverse line blot method was used for detection of 37 types of human papillomavirus (HPV) in DNA from paraffin-embedded or frozen tissues from patients with colorectal cancer (n = 279) and normal adjacent tissue (n = 30) in three different study populations, including samples from the United States (n = 73), Israel (n = 106) and Spain (n = 100). Additionally, SPF10 PCR was run on all samples (n = 279) and the Innogenetics INNO-LiPA assay was performed on a subset of samples (n = 15). All samples were negative for all types of HPV using both the GP5+/GP6+ PCR reverse line blot method and the SPF10 INNO-LiPA method. We conclude that HPV types associated with malignant transformation do not meaningfully contribute to adenocarcinoma of the colon.