Faculty Bibliography

Background: As hepatocellular carcinoma (HCC) develops from premalignant lesions (low and high grade dysplastic nodules; LGDN and HGDN), there is a corresponding accumulation of molecular alterations, some of which have been well described. However, the molecular features of lesions comprising the hepatocellular dysplasia-carcinoma sequence as they relate to different etiologies have not yet been explored. Herein, we characterize the molecular landscape of such lesions in cirrhotic explants with alcohol-related liver disease (ALD) and chronic hepatitis C (CHC).
Design(s): Tissue was assessed from 27 liver explants (14 CHC, 13 ALD) including 10 LGDNs (5 CHC, 5 ALD), 8 HGDNs (3 CHC, 5 ALD), 10 HCCs arising from HGDNs (5 CHC, 5 ALD), and 10 small HCCs defined as HCC < 2 cm (5 CHC, 5 ALD), as well as non-lesional cirrhotic parenchyma and matched normal non-liver tissue (e.g. porta hepatis structures). DNA was extracted from FFPE tissue for next generation sequencing (NGS) using a customized NGS580 panel targeting all exonic and select intronic areas in 580 cancer related genes. Data was analyzed using customized bioinformatics pipelines with an R package.
Result(s): TERT promoter HS C228T mutations were identified in 6 of 10 (60%) CHC related HCCs and only 1 of 9 (11%) alcohol related HCC (Figure 1). There was a significant association between TERT promoter HS C228T mutations and CHC related HCCs (p<0.02). In contrast, ALD related lesions showed deleterious events affecting tumor suppressor genes (NF1, BRCA1; CDKN2C) and histone methylation/chromatin remodeling genes (KMT2A; KMT2C; ASXL1; RAD21), which were found in 6 of 13 ALD related lesions (46.2% [3 of 5 small HCCs, 2 of 4 HGDNs, and 1 of 4 HCCs arising in HGDNs]). These events only occurred in 3 of 14 (21.4%) CHC related lesions (Figures 1 and 2). Within the CHC group, 1 HCC arising in HGDN showed copy number gains (CNG) in MARK4, ERCC2, FGFR4 and FLT4 and two HGDNs showed CNGs in NOTCH1 and TERT, respectively. No differences in the tumor mutational burden (TMB) were noted between CHC related and ALD related lesions, nor across the DN-HCC sequence. Non-lesional liver and LGDNs did not show recurrent mutations pertaining to a specific pathway. (Figure presented)
Conclusion(s): Our findings suggest that the pathways of hepatocarcinogenesis are distinct in ALD and CHC. While upregulation of telomerase activity (TA) and cancer cell immortalization play a pivotal role in CHC related HCC, defective chromatin remodeling appears to contribute to tumorigenesis in ALD related HCC

Background: Encapsulated papillary carcinomas (EPC) of the breast is a variant of papillary carcinoma that are confined to a cystic space, surrounded by a fibrous capsule and lack the myoepithelial coat. Despite the latter finding, it is recommended that EPC be staged as pTis due to its indolent course. Concurrent frank invasive carcinomas are staged commensurate with their size. We sought to investigate the molecular pathways differentially expressed in pure EPC and EPC with frank invasion at the genomic and transcriptomic level. In addition, we compared EPC with its corresponding invasive ductal carcinoma (IDC) at the transcriptomic level.
Design(s): We selected 3 cases of pure EPC (C1-C3) and 3 cases of EPC (C4e-C6e) with corresponding IDC (C4i-C6i).We performed whole transcriptome analysis on laser-capture microdissected samples from formalin-fixed, paraffin-embedded tissue. We used CloneTech Mammalian stranded pico kit for sequencing RNA. KEGG pathway analysis and Gene Ontology (GO) analysis was performed using the cluster Profiler R package (v3.0.0) and Database for Annotation, Visualization and Integrated Discovery. DNA analysis was performed using our in-house next generation sequencing hybrid capture covering 580 genes on C1-C3 and C4e-C6e.
Result(s): There were 5 female and 1 male patients. The mean age was 73 years (range 62-90). All cases were hormone receptor positive. C4e-C6e showed upregulation of NTRK2 and MAGI2 (lg2FC= 3.14 and lg2FC = 3.0 fold, respectively) and downregulation of PRKACB (lg2FC= -4.4) compared to C1-C3 on RNAseq. C4i-C6i showed upregulation of collagen-related genes (COL10A1, COL11A1, COL14A1, COL16A1, COL1A1, COL3A1, COL8A1) (lg2FC range: 6.28 fold change) and ADAM12/ADAMTS2 (lg2FC=6.2 and lg2FC= 6.9 fold change) compared to C4e-C6e (FDR =0.014). Pathway analysis showed upregulation of collagen fibril organization and extracellular matrix organization pathways in C4i-C6i compared to C4e-C6e and upregulation of kinase activity pathway (GO: 0016301) in C4e-C6e compared to C1-C3.Recurrent PIK3CA hotspot non-synonymous mutation was identified in C3, C4e, C5e and C6e (c.G1633A in C5 and c.A3140G in C3, C4 and C6).
Conclusion(s): Our findings suggest that kinase and matrix metalloproteinase pathways contribute to EPC with invasion compared to pure EPC cases. Furthermore, enrichment of collagen-related genes in IDCs compared to their corresponding EPC suggest a synergistic potential with the aforementioned pathways. Mechanistic studies are warranted to validate the findings

Background: Clear cell papillary renal cell carcinoma (ccpRCC) is a relatively new entity and it has been described as an indolent renal neoplasm. ccpRCC shares features of clear cell RCC (ccRCC) and papillary RCC (pRCC) morphologically and immunohistochemically, even though it carries a very different prognostic potential. Epigenetic alterations play a significant role in the development and progression of human tumors. A large scale sequencing efforts demonstrated that hypermethylation in RCC tumors is associated with poor prognosis and may dictate treatment options. However, ccpRCC has not been included and further molecular elucidation is to be done. In this study, we attempt to investigate the methylation patterns in ccpRCC and test if differential patterns can be correlated with histologic subtypes and known biological behaviors.
Design(s): Nephrectomy specimens from our institution were reviewed and 8 cases from 2017-2019 were selected and confirmed as ccpRCC by three pathologists. Tumors were microdissected and DNA from FFPE was extracted and profiled using the Illumina MethylationEPIC array. Methylation data were analyzed with the R Bioconductor package minfi, including quality control, data normalization and differentially methylated CpG site analysis. Subsequent filtering was performed using a p-value cutoff = 0.01 and a minimum mean difference of the Beta-value of 0.1. Clustering was performed using tSNE analysis. Copy numbers were analyzed using conumee package. The methylation data were compared to ccRCC and pRCC from publicly available TCGA dataset.
Result(s): All 8 cases passed QC metrics on bisulfite conversion, hybridization and signal intensity confirming that the DNA quality was optimal for methylation study. ccpRCC clustered very tightly together illustrating that they represented a homogeneous group of tumors. When this cluster was compared to the TCGA dataset, ccpRCC was found to be located in between ccRCC and pRCC which might explain the characteristic features of this tumor subtype (figure 1). (Figure presented)
Conclusion(s): 1. DNA methylation is a useful molecular hallmark of many cancers including renal cancers and is increasingly utilized in diagnosis, prognostication, and clinical trials (epigenetic therapy). 2. Morphologically and immunohistochemically confirmed ccpRCC forms a tight cluster validating the use of methylation assay for future studies. 3. Promotor and pathway specific methylation patterns will be further studied which can distinguish the indolent clinical behavior

Gene fusions are caused by chromosomal rearrangements and encode fusion proteins that can act as oncogenic drivers in cancers. Traditional methods for detecting oncogenic fusion transcripts include fluorescence in situ hybridization (FISH), reverse transcription polymerase chain reaction (RT-PCR) and immunohistochemistry (IHC). However, these methods are limited in scalability and pose significant technical and interpretational challenges. Next-generation sequencing (NGS) is a high-throughput method for detecting genetic abnormalities and providing prognostic and therapeutic information for cancer patients. We present our experience with the validation of a custom-designed Archer Anchored Multiplex PCR (AMP™) technology-based NGS technology, "NYU FUSION-SEQer" using RNA sequencing. We examine both analytical performance and clinical utility of the panel using 75 retrospective validation samples and 84 prospective clinical samples of solid tumors. Our panel showed robust sequencing performance with strong enrichment for target regions. The lower limit of detection was 12.5% tumor fraction at 125 ng of RNA input. The panel demonstrated excellent analytic accuracy, with 100% sensitivity, 100% specificity and 100% reproducibility on validation samples. Finally, in the prospective cohort, the panel detected fusions in 61% cases (n = 51), out of which 41% (n = 21) enabling diagnosis and 59% (n = 30) enabling treatment and prognosis. We demonstrate that the fusion panel can accurately, efficiently and cost-effectively detect the majority of known fusion genes, novel clinically relevant fusions and provides an excellent tool for discovery of new fusion genes in solid tumors.

Tumors of the pineal region comprise several different entities with distinct clinical and histopathological features. Whereas some entities predominantly affect adults, pineoblastoma (PB) constitutes a highly aggressive malignancy of childhood with a poor outcome. PBs mainly arise sporadically, but may also occur in the context of cancer predisposition syndromes including DICER1 and RB1 germline mutation. With this study, we investigate clinico-pathological subgroups of pineal tumors and further characterize their biological features. We performed genome-wide DNA methylation analysis in 195 tumors of the pineal region and 20 normal pineal gland controls. Copy-number profiles were obtained from DNA methylation data; gene panel sequencing was added for 93 tumors and analysis was further complemented by miRNA sequencing for 22 tumor samples. Unsupervised clustering based on DNA methylation profiling separated known subgroups, like pineocytoma, pineal parenchymal tumor of intermediate differentiation, papillary tumor of the pineal region and PB, and further distinct subtypes within these groups, including three subtypes within the core PB subgroup. The novel molecular subgroup Pin-RB includes cases of trilateral retinoblastoma as well as sporadic pineal tumors with RB1 alterations, and displays similarities with retinoblastoma. Distinct clinical associations discriminate the second novel molecular subgroup PB-MYC from other PB cases. Alterations within the miRNA processing pathway (affecting DROSHA, DGCR8 or DICER1) are found in about two thirds of cases in the three core PB subtypes. Methylation profiling revealed biologically distinct groups of pineal tumors with specific clinical and molecular features. Our findings provide a foundation for further clinical as well as molecular and functional characterization of PB and other pineal tumors, including the role of miRNA processing defects in oncogenesis.

Molecular studies have identified distinct genomic drivers providing insights in biology of brain tumors. Advances in genetic and epigenetic analysis, as well as development of mutation-specific antibodies enable more accurate classification of histologically indistinguishable tumors. Compared with histopathologic grading, molecular biomarkers are also superior in predicting natural behavior of tumors and therapeutic response. Diffuse gliomas can be separated in astrocytoma and oligodendroglioma based on IDH1/2, ATRX, and TP53 mutational status. Pediatric gliomas are molecularly distinct from adult tumors and molecular drivers include histone H3 genes and fusions involving the MAPK pathway. Using genetic and epigenetic profiling, ependymal tumors, medulloblastomas, and atypical teratoid/rhabdoid tumors can be separated in biologically and clinically distinct entities. Identification of novel gene fusions and matched DNA methylation signatures enable accurate diagnosis of primitive neuroectodermal tumors, which were previously misdiagnosed. Genomic classification of central nervous system tumors is being readily translated into the clinical practice and will enable molecularly based patient management and clinical trials.

Background/UNASSIGNED:Glioma is a family of primary brain malignancies with limited treatment options and in need of novel therapies. We previously demonstrated that the adhesion G protein-coupled receptor GPR133 (ADGRD1) is necessary for tumor growth in adult glioblastoma, the most advanced malignancy within the glioma family. However, the expression pattern of GPR133 in other types of adult glioma is unknown. Methods/UNASSIGNED:We used immunohistochemistry in tumor specimens and non-neoplastic cadaveric brain tissue to profile GPR133 expression in adult gliomas. Results/UNASSIGNED:We show that GPR133 expression increases as a function of WHO grade and peaks in glioblastoma, where all tumors ubiquitously express it. Importantly, GPR133 is expressed within the tumor bulk, as well as in the brain-infiltrating tumor margin. Furthermore, GPR133 is expressed in both isocitrate dehydrogenase (IDH) wild-type and mutant gliomas, albeit at higher levels in IDH wild-type tumors. Conclusion/UNASSIGNED:The fact that GPR133 is absent from non-neoplastic brain tissue but de novo expressed in glioma suggests that it may be exploited therapeutically.

Intraoperative diagnosis is essential for providing safe and effective care during cancer surgery¹. The existing workflow for intraoperative diagnosis based on hematoxylin and eosin staining of processed tissue is time, resource and labor intensive^2,3. Moreover, interpretation of intraoperative histologic images is dependent on a contracting, unevenly distributed, pathology workforce⁴. In the present study, we report a parallel workflow that combines stimulated Raman histology (SRH)^5-7, a label-free optical imaging method and deep convolutional neural networks (CNNs) to predict diagnosis at the bedside in near real-time in an automated fashion. Specifically, our CNNs, trained on over 2.5 million SRH images, predict brain tumor diagnosis in the operating room in under 150 s, an order of magnitude faster than conventional techniques (for example, 20-30 min)². In a multicenter, prospective clinical trial (n = 278), we demonstrated that CNN-based diagnosis of SRH images was noninferior to pathologist-based interpretation of conventional histologic images (overall accuracy, 94.6% versus 93.9%). Our CNNs learned a hierarchy of recognizable histologic feature representations to classify the major histopathologic classes of brain tumors. In addition, we implemented a semantic segmentation method to identify tumor-infiltrated diagnostic regions within SRH images. These results demonstrate how intraoperative cancer diagnosis can be streamlined, creating a complementary pathway for tissue diagnosis that is independent of a traditional pathology laboratory.

Congenital tumors account for 2% to 4% of all pediatric central nervous system tumors. Glioblastoma multiforme (GBM) represents a small subset of these tumors. Despite harboring histologic features similar to older patients, infants with GBM exhibit improved survival and respond more favorably to surgery and chemotherapy. To highlight this tumor's unique behavior, we report the case of a survivor of infantile GBM who developed a recurrent tumor in the surgical bed 6 months after diagnosis. The tumor was ultimately resected and was a ganglioglioma. This case shows both a favorable clinical outcome to an infantile GBM and this tumor's natural history.