Robert T. Sweeney

Transcriptional profiling of long non-coding RNAs and novel transcribed regions across a diverse panel of archived human cancers

BackgroundMolecular characterization of tumors has been critical for identifying important genes in cancer biology and for improving tumor classification and diagnosis. Long non-coding RNAs, as a new, relatively unstudied class of transcripts, provide a rich opportunity to identify both functional drivers and cancer-type-specific biomarkers. However, despite the potential importance of long non-coding RNAs to the cancer field, no comprehensive survey of long non-coding RNA expression across various cancers has been reported.ResultsWe performed a sequencing-based transcriptional survey of both known long non-coding RNAs and novel intergenic transcripts across a panel of 64 archival tumor samples comprising 17 diagnostic subtypes of adenocarcinomas, squamous cell carcinomas and sarcomas. We identified hundreds of transcripts from among the known 1,065 long non-coding RNAs surveyed that showed variability in transcript levels between the tumor types and are therefore potential biomarker candidates. We discovered 1,071 novel intergenic transcribed regions and demonstrate that these show similar patterns of variability between tumor types. We found that many of these differentially expressed cancer transcripts are also expressed in normal tissues. One such novel transcript specifically expressed in breast tissue was further evaluated using RNA in situ hybridization on a panel of breast tumors. It was shown to correlate with low tumor grade and estrogen receptor expression, thereby representing a potentially important new breast cancer biomarker.ConclusionsThis study provides the first large survey of long non-coding RNA expression within a panel of solid cancers and also identifies a number of novel transcribed regions differentially expressed across distinct cancer types that represent candidate biomarkers for future research.

Genome evolution during progression to breast cancer.

Cancer evolution involves cycles of genomic damage, epigenetic deregulation, and increased cellular proliferation that eventually culminate in the carcinoma phenotype. Early neoplasias, which are often found concurrently with carcinomas and are histologically distinguishable from normal breast tissue, are less advanced in phenotype than carcinomas and are thought to represent precursor stages. To elucidate their role in cancer evolution we performed comparative whole-genome sequencing of early neoplasias, matched normal tissue, and carcinomas from six patients, for a total of 31 samples. By using somatic mutations as lineage markers we built trees that relate the tissue samples within each patient. On the basis of these lineage trees we inferred the order, timing, and rates of genomic events. In four out of six cases, an early neoplasia and the carcinoma share a mutated common ancestor with recurring aneuploidies, and in all six cases evolution accelerated in the carcinoma lineage. Transition spectra of somatic mutations are stable and consistent across cases, suggesting that accumulation of somatic mutations is a result of increased ancestral cell division rather than specific mutational mechanisms. In contrast to highly advanced tumors that are the focus of much of the current cancer genome sequencing, neither the early neoplasia genomes nor the carcinomas are enriched with potentially functional somatic point mutations. Aneuploidies that occur in common ancestors of neoplastic and tumor cells are the earliest events that affect a large number of genes and may predispose breast tissue to eventual development of invasive carcinoma.

Breakpoint analysis of transcriptional and genomic profiles uncovers novel gene fusions spanning multiple human cancer types.

Gene fusions, like BCR/ABL1 in chronic myelogenous leukemia, have long been recognized in hematologic and mesenchymal malignancies. The recent finding of gene fusions in prostate and lung cancers has motivated the search for pathogenic gene fusions in other malignancies. Here, we developed a “breakpoint analysis” pipeline to discover candidate gene fusions by tell-tale transcript level or genomic DNA copy number transitions occurring within genes. Mining data from 974 diverse cancer samples, we identified 198 candidate fusions involving annotated cancer genes. From these, we validated and further characterized novel gene fusions involving ROS1 tyrosine kinase in angiosarcoma (CEP85L/ROS1), SLC1A2 glutamate transporter in colon cancer (APIP/SLC1A2), RAF1 kinase in pancreatic cancer (ATG7/RAF1) and anaplastic astrocytoma (BCL6/RAF1), EWSR1 in melanoma (EWSR1/CREM), CDK6 kinase in T-cell acute lymphoblastic leukemia (FAM133B/CDK6), and CLTC in breast cancer (CLTC/VMP1). Notably, while these fusions involved known cancer genes, all occurred with novel fusion partners and in previously unreported cancer types. Moreover, several constituted druggable targets (including kinases), with therapeutic implications for their respective malignancies. Lastly, breakpoint analysis identified new cell line models for known rearrangements, including EGFRvIII and FIP1L1/PDGFRA. Taken together, we provide a robust approach for gene fusion discovery, and our results highlight a more widespread role of fusion genes in cancer pathogenesis.

A shared transcriptional program in early breast neoplasias despite genetic and clinical distinctions

BackgroundThe earliest recognizable stages of breast neoplasia are lesions that represent a heterogeneous collection of epithelial proliferations currently classified based on morphology. Their role in the development of breast cancer is not well understood but insight into the critical events at this early stage will improve efforts in breast cancer detection and prevention. These microscopic lesions are technically difficult to study so very little is known about their molecular alterations.ResultsTo characterize the transcriptional changes of early breast neoplasia, we sequenced 3′- end enriched RNAseq libraries from formalin-fixed paraffin-embedded tissue of early neoplasia samples and matched normal breast and carcinoma samples from 25 patients. We find that gene expression patterns within early neoplasias are distinct from both normal and breast cancer patterns and identify a pattern of pro-oncogenic changes, including elevated transcription of ERBB2, FOXA1, and GATA3 at this early stage. We validate these findings on a second independent gene expression profile data set generated by whole transcriptome sequencing. Measurements of protein expression by immunohistochemistry on an independent set of early neoplasias confirms that ER pathway regulators FOXA1 and GATA3, as well as ER itself, are consistently upregulated at this early stage. The early neoplasia samples also demonstrate coordinated changes in long non-coding RNA expression and microenvironment stromal gene expression patterns.ConclusionsThis study is the first examination of global gene expression in early breast neoplasia, and the genes identified here represent candidate participants in the earliest molecular events in the development of breast cancer.

Desktop Transcriptome Sequencing From Archival Tissue to Identify Clinically Relevant Translocations

Somatic mutations, often translocations or single nucleotide variations, are pathognomonic for certain types of cancers and are increasingly of clinical importance for diagnosis and prediction of response to therapy. Conventional clinical assays only evaluate 1 mutation at a time, and targeted tests are often constrained to identify only the most common mutations. Genome-wide or transcriptome-wide high-throughput sequencing (HTS) of clinical samples offers an opportunity to evaluate for all clinically significant mutations with a single test. Recently a “desktop version” of HTS has become available, but most of the experience to date is based on data obtained from high-quality DNA from frozen specimens. In this study, we demonstrate, as a proof of principle, that translocations in sarcomas can be diagnosed from formalin-fixed paraffin-embedded (FFPE) tissue with desktop HTS. Using the first generation MiSeq platform, full transcriptome sequencing was performed on FFPE material from archival blocks of 3 synovial sarcomas, 3 myxoid liposarcomas, 2 Ewing sarcomas, and 1 clear cell sarcoma. Mapping the reads to the “sarcomatome” (all known 83 genes involved in translocations and mutations in sarcoma) and using a novel algorithm for ranking fusion candidates, the pathognomonic fusions and the exact breakpoints were identified in all cases of synovial sarcoma, myxoid liposarcoma, and clear cell sarcoma. The Ewing sarcoma fusion gene was detectable in FFPE material only with a sequencing platform that generates greater sequencing depth. The results show that a single transcriptome HTS assay, from FFPE, has the potential to replace conventional molecular diagnostic techniques for the evaluation of clinically relevant mutations in cancer.

Molecular pathological analysis of sarcomas using paraffin-embedded tissue: current limitations and future possibilities.

Sarcomas of soft tissue and bone are rare neoplasms that can be separated into a large number of different diagnostic entities. Over the years, a number of diagnostic markers have been developed that aid pathologists in reaching the appropriate diagnoses. Many of these markers are sarcoma‐specific proteins that can be detected by immunohistochemistry in formalin‐fixed, paraffin‐embedded (FFPE) sections. In addition, a wide range of molecular studies have been developed that can detect gene mutations, gene amplifications or chromosomal translocations in FFPE material. Until recently, most sequencing‐based approaches relied on the availability of fresh frozen tissue. However, with the advent of next‐generation sequencing technologies, FFPE material is increasingly being used as a tool to identify novel immunohistochemistry markers, gene mutations, and chromosomal translocations, and to develop diagnostic tests.

Abstract 3182: Tumor associated macrophages in undifferentiated uterine sarcoma: association with angiogenesis and therapeutic implications

Sarcomas of the uterus are derived from uterine smooth muscle (leiomyosarcomas) or from endometrial stromal cells. The latter group includes three subtypes: the low-grade (LG) and high-grade (HG) endometrial stromal sarcomas (ESS), each defined by characteristic chromosomal translocations, and undifferentiated uterine sarcoma (UUS), the most aggressive form. The majority of UUS patients present with high-stage disease and even patients with stage I tumors often die within 2 years from diagnosis. Adjuvant radio- and chemotherapy do not improve the clinical outcome. No prior comprehensive molecular analysis of all three types of endometrial stromal tumors has been reported. We performed genomic analysis (whole exome sequencing and aCGH), gene expression profiling (RNA-seq and microarrays), immunohistochemistry (IHC) and FISH on 31 endometrial stromal tumors, including 17 UUS and 14 LG and HG ESS. All ESS cases carried characteristic JAZF1, PHF1, MBTD1 or YWHAE rearrangements. Selected findings were validated by IHC, qRT-PCR and Sanger sequencing. Genomic analysis revealed that UUS are characterized by complex chromosomal aberrations. The most frequent somatic mutations (in TP53, KRAS, FBXW7, PIK3CA and ERBB3) and copy number changes (e.g. gains of 19q, 8q11.1-q24.3 and 3q26.2-q29) in UUS resemble those seen in uterine carcinosarcomas and carcinomas. UUS over-expressed numerous genes encoding M2 macrophage-specific markers, including CD163, CCL18, mannose receptor, stabilin-1, and macrophage galactose-type C-type lectin 2. Immunohistochemistry for CD163 and CD68 confirmed high tumor-associated macrophages (TAM) counts in UUS tissues compared to the ESS. In UUS, we also observed significantly higher mRNA expression for genes implicated in angiogenesis (CD34, MMP9), immunosuppression and tumor invasion (e.g. CCR2, IL10RA, IRAK3, CCL13, CXCL9, CXCL10). TAMs are associated with progression, resistance to cytotoxic therapy and metastatic spread in most human tumor types. In animal models, TAMs were shown to induce increased angiogenesis. CSF1 is a major regulator of macrophage function and is implicated in these tumor-promoting effects. Clinical trials have shown an effect of inhibitors of the CSF1 pathway in tenosynovial giant cell tumors and our data indicate that these inhibitors may be considered for the treatment of UUS. Our study also showed significantly elevated expression in UUS of two additional therapeutic targets involving macrophage pathways: CCR2 (C-C chemokine receptor type 2) that can be targeted by monoclonal antibodies, and BTK (Bruton9s tyrosine kinase) that can be targeted by ibrutinib. In conclusion, our findings demonstrate abundant presence of TAMs and over-expression of TAM-associated markers in UUS compared to the other tumors derived from endometrial stroma. Moreover, our results indicate novel potential therapeutic targets for UUS patients management. Citation Format: Joanna Przybyl, Magdalena Kowalewska, Anna Quattrone, Barbara Dewaele, Vanessa Vanspauwen, Sushama Varma, Robert T. Sweeney, Michal Swierniak, Elwira Bakula-Zalewska, Janusz A. Siedlecki, Mariusz Bidzinski, Jan Cools, Matt van de Rijn, Maria Debiec-Rychter. Tumor associated macrophages in undifferentiated uterine sarcoma: association with angiogenesis and therapeutic implications. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 3182.

Abstract 3436: Ameloblastoma driver mutations revealed by next-generation sequencing of formalin-fixed paraffin-embedded specimens

Proceedings: AACR Annual Meeting 2014; April 5-9, 2014; San Diego, CA Rare cancer types are not only understudied, but are typically represented by formalin-fixed paraffin-embedded (FFPE) (rather than freshly-frozen) specimens that are suboptimal for genomic analysis. Ameloblastoma is one such rare tumor type, thought to arise from ameloblasts, the cells that deposit enamel during tooth development. Though typically benign, ameloblastomas are locally destructive to the jaw and face, and new non-surgical interventions are needed. To discover novel driver mutations and therapeutic targets, we optimized methods and performed whole-transcriptome sequencing and/or targeted exon sequencing (TruSeq Cancer Panel) of 8 FFPE cases. Identified mutations were verified, and then evaluated on a larger, independent set of 21 FFPE cases by PCR and Sanger sequencing. From the analysis, we identified recurrent somatic mutations in three key developmental or signaling pathways, including Hedgehog, fibroblast growth factor, and MAP kinase pathways. Functional interrogation of a novel Hedgehog pathway mutation confirmed increased basal pathway activity, and defined the response profile to various pharmacologic Hedgehog inhibitors. Together, our results define new ameloblastoma drivers and nominate new molecularly-directed therapies for this rare but disfiguring disease. More generally, our findings validate a robust approach for discovering driver mutations in rare cancers. Citation Format: Andrew C. McClary, Robert T. Sweeney, Jewison Biscocho, Benjamin R. Myers, Lila Neahring, Kevin A. Kwei, Kunbin Qu, Xue Gong, Tony Ng, Carol D. Jones, Sushama Varma, Justin I. Odegaard, Brian Rubin, Megan L. Troxell, Robert J. Pelham, James L. Zehnder, Philip A. Beachy, Jonathan R. Pollack, Robert B. West. Ameloblastoma driver mutations revealed by next-generation sequencing of formalin-fixed paraffin-embedded specimens. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 3436. doi:10.1158/1538-7445.AM2014-3436

Microarrays and High-Throughput Sequencing in Desmoid-Type Fibromatosis and Scar

Genome and transcriptome analysis of desmoid-type fibromatosis (DTF) and scar tissue with DNA microarray and high-throughput sequencing (HTS) has yielded abundant data. Given the similar histologic appearance of normal scars, keloids, and DTF, and yet markedly dissimilar invasive and recurrent nature of DTF, it is critical to elucidate the underlying biologic differences contributing to the aggressiveness of DTF. Multiple gene sets and biologic pathways have been found to be enriched in DTF when compared with other noninvasive fibroblastic lesions. Investigation is required to fully characterize the pathogenesis with the hope of identifying novel diagnostic markers and therapeutic targets.