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  • 1
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2022
    In:  Molecular Cancer Research Vol. 20, No. 10 ( 2022-10-04), p. 1481-1488
    In: Molecular Cancer Research, American Association for Cancer Research (AACR), Vol. 20, No. 10 ( 2022-10-04), p. 1481-1488
    Abstract: Chromosomal rearrangements often result in active regulatory regions juxtaposed upstream of an oncogene to generate an expressed gene fusion. Repeated activation of a common downstream partner–with differing upstream regions across a patient cohort–suggests a conserved oncogenic role. Analysis of 9,638 patients across 32 solid tumor types revealed an annotated long noncoding RNA (lncRNA), Breast Cancer Anti-Estrogen Resistance 4 (BCAR4), was the most prevalent, uncharacterized, downstream gene fusion partner occurring in 11 cancers. Its oncogenic role was confirmed using multiple cell lines with endogenous BCAR4 gene fusions. Furthermore, overexpressing clinically prevalent BCAR4 gene fusions in untransformed cell lines was sufficient to induce an oncogenic phenotype. We show that the minimum common region to all gene fusions harbors an open reading frame that is necessary to drive proliferation. Implications: BCAR4 gene fusions represent an underappreciated class of gene fusions that may have biological and clinical implications across solid tumors.
    Type of Medium: Online Resource
    ISSN: 1541-7786 , 1557-3125
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
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  • 2
    In: NAR Cancer, Oxford University Press (OUP), Vol. 5, No. 2 ( 2023-03-11)
    Abstract: Colorectal cancer (CRC) is the most common gastrointestinal malignancy and a leading cause of cancer deaths in the United States. More than half of CRC patients develop metastatic disease (mCRC) with an average 5-year survival rate of 13%. Circular RNAs (circRNAs) have recently emerged as important tumorigenesis regulators; however, their role in mCRC progression remains poorly characterized. Further, little is known about their cell-type specificity to elucidate their functions in the tumor microenvironment (TME). To address this, we performed total RNA sequencing (RNA-seq) on 30 matched normal, primary and metastatic samples from 14 mCRC patients. Additionally, five CRC cell lines were sequenced to construct a circRNA catalog in CRC. We detected 47 869 circRNAs, with 51% previously unannotated in CRC and 14% novel candidates when compared to existing circRNA databases. We identified 362 circRNAs differentially expressed in primary and/or metastatic tissues, termed circular RNAs associated with metastasis (CRAMS). We performed cell-type deconvolution using published single-cell RNA-seq datasets and applied a non-negative least squares statistical model to estimate cell-type specific circRNA expression. This predicted 667 circRNAs as exclusively expressed in a single cell type. Collectively, this serves as a valuable resource, TMECircDB (accessible at https://www.maherlab.com/tmecircdb-overview), for functional characterization of circRNAs in mCRC, specifically in the TME.
    Type of Medium: Online Resource
    ISSN: 2632-8674
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
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  • 3
    In: European Urology, Elsevier BV, Vol. 71, No. 2 ( 2017-02), p. 257-266
    Type of Medium: Online Resource
    ISSN: 0302-2838
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2017
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  • 4
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2023
    In:  Cancer Research Vol. 83, No. 7_Supplement ( 2023-04-04), p. 3803-3803
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 83, No. 7_Supplement ( 2023-04-04), p. 3803-3803
    Abstract: Colorectal cancer (CRC) is the most common gastrointestinal malignancy and a leading cause of cancer death in the U.S.. Approximately 50% of patients with CRC develop metastatic disease (mCRC) with an average 5-year survival rate of 13%. Circular RNAs (circRNAs), covalently closed RNA molecules produced from pre-mRNAs through backsplicing, have recently emerged as an important class of non-coding RNAs regulating CRC tumorigenesis and progression. In this study we established a comprehensive catalog of circRNAs in mCRC. To evaluate circRNAs in mCRC progression, total RNA-Seq was performed on 30 matched normal, primary, and distant metastatic samples from 14 mCRC patients. Additionally, the transcriptome of five CRC cell lines were sequenced to evaluate circRNAs expressed in cell lines. CircRNAs were identified and quantified using the number of backspliced reads, normalized against the total number of mapped reads. Differential expression (DE) analysis was performed to identify circRNAs deregulated between normal, primary, and metastatic tissues. Our analysis identified approximately 62,000 expressed circRNAs in mCRC including approximately 32,000 expressed in patients and 48,000 expressed in cell lines, originating from approximately 9200 linear genes. Approximately 42,000 circRNAs (67%) were unannotated when compared with the circRNA consortium MiOncoCirc annotation. DE analysis identified 376 circRNAs deregulated in CRC progression from normal to primary, and metastasis. A higher proportion of DE circRNAs (82%) was downregulated in primary or metastasis, consistent with earlier reports of lower circRNA concentration in tumor due to rapid cell cycles. Among DE circRNAs were the downregulation of circRNAs that have been known to suppress tumor proliferation, migration, and invasion in mCRC such as circSMARCA5, circFBXW7, and circSETD3, and the upregulation of circFIRRE, a circRNA known to promote tumor progression in osteosarcoma. A significant portion (37%) of deregulated circRNAs also had their parental linear genes found to be deregulated, suggesting parental gene regulation contributed to circRNA regulation. Interestingly, a large portion of circRNAs (63%) were found to be deregulated while their parental linear gene expression was unchanged, suggesting alternative mechanisms of circRNA deregulation. Gene set enrichment analysis showed that linear genes co-deregulated with circRNAs were enriched in signatures of tumor progression including proliferation, epithelial mesenchymal transition, and metastasis, suggesting potential involvement of deregulated circRNAs in tumor progression. Through RNA sequencing of both patients and cell lines, we established a comprehensive compendium of circRNAs and identified those deregulated in mCRC. This provides a valuable resource for further experimental characterization of circRNAs function in mCRC progression. Citation Format: Sidi Zhao, Amy Ly, Jacqueline L. Mudd, Emily B. Rozycki, Ghofran Othoum, Jingqin Luo, Ha X. Dang, Ryan C. Fields, Christopher A. Maher. The landscape of circular RNAs in metastatic colorectal cancer. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3803.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2023
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  • 5
    In: Heliyon, Elsevier BV, Vol. 6, No. 3 ( 2020-03), p. e03521-
    Type of Medium: Online Resource
    ISSN: 2405-8440
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2020
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  • 6
    In: Non-Coding RNA, MDPI AG, Vol. 8, No. 1 ( 2022-01-13), p. 9-
    Abstract: Existing small noncoding RNA analysis tools are optimized for processing short sequencing reads (17–35 nucleotides) to monitor microRNA expression. However, these strategies under-represent many biologically relevant classes of small noncoding RNAs in the 36–200 nucleotides length range (tRNAs, snoRNAs, etc.). To address this, we developed DANSR, a tool for the detection of annotated and novel small RNAs using sequencing reads with variable lengths (ranging from 17–200 nt). While DANSR is broadly applicable to any small RNA dataset, we applied it to a cohort of matched normal, primary, and distant metastatic colorectal cancer specimens to demonstrate its ability to quantify annotated small RNAs, discover novel genes, and calculate differential expression. DANSR is available as an open source tool.
    Type of Medium: Online Resource
    ISSN: 2311-553X
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
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  • 7
    In: Nature Communications, Springer Science and Business Media LLC, Vol. 14, No. 1 ( 2023-03-22)
    Abstract: Somatic mutations within non-coding regions and even exons may have unidentified regulatory consequences that are often overlooked in analysis workflows. Here we present RegTools ( www.regtools.org ), a computationally efficient, free, and open-source software package designed to integrate somatic variants from genomic data with splice junctions from bulk or single cell transcriptomic data to identify variants that may cause aberrant splicing. We apply RegTools to over 9000 tumor samples with both tumor DNA and RNA sequence data. RegTools discovers 235,778 events where a splice-associated variant significantly increases the splicing of a particular junction, across 158,200 unique variants and 131,212 unique junctions. To characterize these somatic variants and their associated splice isoforms, we annotate them with the Variant Effect Predictor, SpliceAI, and Genotype-Tissue Expression junction counts and compare our results to other tools that integrate genomic and transcriptomic data. While many events are corroborated by the aforementioned tools, the flexibility of RegTools also allows us to identify splice-associated variants in known cancer drivers, such as TP53 , CDKN2A , and B2M , and other genes.
    Type of Medium: Online Resource
    ISSN: 2041-1723
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
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  • 8
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2017
    In:  Cancer Research Vol. 77, No. 13_Supplement ( 2017-07-01), p. 3447-3447
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 77, No. 13_Supplement ( 2017-07-01), p. 3447-3447
    Abstract: Lung adenocarcinoma accounts for ~40% of lung cancers and is among the deadliest cancers worldwide. Patients with metastatic lung adenocarcinoma exhibit poor outcome with the average 5-year survival of ~1%. Long non-coding RNAs (lncRNAs) have recently emerged as having critical roles in tumorigenesis. While a subset of lncRNAs have been shown to promote tumor invasion and metastasis, little is known about the role of lncRNAs in metastatic lung adenocarcinoma. Therefore, we analyzed publicly available microarray and RNA-Seq gene expression datasets that include primary and metastatic tissues. Through this meta-analysis we discovered 98 metastasis associated lncRNAs that were dysregulated in metastatic tumors compared to non-metastatic tumors (MALLs). Notably, only two lncRNAs (MALL-2 and MALL-36) were found to be down-regulated in primary tumors, relative to normal tissue, and even further down-regulated in metastatic tumors relative to primary tumors. Gene set enrichment analysis revealed that MALL-2, the most down-regulated lncRNA in metastasis, was coexpressed with protein-coding genes enriched with biological concepts associated with repressing tumor growth and metastasis. Furthermore, we found that FOXA2, a metastasis repressor gene, was highly coexpressed with MALL-2 in lung cancer. A pan-cancer analysis using ~7,000 TCGA RNA-Seq tumor samples across 20 cancer types revealed that MALL-2 was also down-regulated and coexpressed with FOXA2 in multiple cancers suggesting the conserved regulatory relationship between the two genes. We confirmed that FOXA2 expression was decreased upon knock-down of MALL-2 and silencing MALL-2 resulted in a significant increase in cellular migration in lung adenocarcinoma cell lines. Last, we found that low expression of MALL-2 was consistently associated with poor overall survival across multiple independent lung adenocarcinoma cohorts. Taken together, our integrative analysis has revealed MALL-2 that acts as a repressor of lung adenocarcinoma metastasis by regulating FOXA2 and could serve as a biomarker of lung adenocarcinoma patient outcome. Citation Format: Ha X. Dang, Nicole M. White, Emily B. Rozycki, Christopher A. Maher. Down-regulation of long non-coding RNA MALL-2 is associated with metastasis and poor survival in lung adenocarcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 3447. doi:10.1158/1538-7445.AM2017-3447
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2017
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  • 9
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2017
    In:  Cancer Research Vol. 77, No. 13_Supplement ( 2017-07-01), p. 3498-3498
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 77, No. 13_Supplement ( 2017-07-01), p. 3498-3498
    Abstract: Lung cancer is the leading cause of death worldwide with the majority of patients presenting with metastasis and moreover, developing resistance to current treatments. One promising therapeutic area is the novel class of long noncoding RNAs (lncRNAs). While emerging evidence implicates them in cancer, lncRNA biology is still largely unexplored in tumor metastasis. To elucidate the function of lncRNAs in lung cancer, our lab used transcriptome sequencing (RNA-Seq) to discover 120 long non-coding RNAs (lncRNAs) that are enriched in metastatic tumors compared to their corresponding primary lung tumors, which we have named Metastasis Associated Lung cancer LncRNAs (MALLs). Notably, metastatic tumors were enriched for differentially expressed protein-coding genes targeted by Polycomb Repressive Complex 2 (PRC2). In lung cancer studies show that the catalytic subunit of PRC2, EZH2 (an H3K27 methylase), is overexpressed, associates with poor prognosis, promotes tumor progression, and epigenetically represses genes to promote metastasis. Specifically, we have found MALL-1 to be (i) highly up-regulated in lung cancer; (ii) promotes proliferation and migration/invasion, hallmarks of oncogenic phenotypes; (iii) binds to EZH2; and (iv) cooperatively represses well-known PRC2 target genes associated with metastasis in patients. Further, we found MALL-1 to be altered in multiple solid tumors thus suggesting a critical conserved oncogenic role of MALL-1 in solid tumor progression. We believe MALL-1 promotes aggressive disease through its interactions with, and recruitment of the PRC2 complex to chromatin, to epigenetically modify genes associated with metastasis. Citation Format: Nicole M. White, Emily B. Rozycki, Ha X. Dang, Christopher A. Maher. Characterization of a novel metastatic lung cancer associated lncRNA [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 3498. doi:10.1158/1538-7445.AM2017-3498
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2017
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  • 10
    In: Nature Communications, Springer Science and Business Media LLC, Vol. 11, No. 1 ( 2020-05-01)
    Abstract: Colorectal cancer (CRC) is the most common gastrointestinal malignancy in the U.S.A. and approximately 50% of patients develop metastatic disease (mCRC). Despite our understanding of long non-coding RNAs (lncRNAs) in primary colon cancer, their role in mCRC and treatment resistance remains poorly characterized. Therefore, through transcriptome sequencing of normal, primary, and distant mCRC tissues we find 148 differentially expressed RNAs Associated with Metastasis ( RAMS ). We prioritize RAMS11 due to its association with poor disease-free survival and promotion of aggressive phenotypes in vitro and in vivo. A FDA-approved drug high-throughput viability assay shows that elevated RAMS11 expression increases resistance to topoisomerase inhibitors. Subsequent experiments demonstrate RAMS11 -dependent recruitment of Chromobox protein 4 (CBX4) transcriptionally activates Topoisomerase II alpha (TOP2α ) . Overall, recent clinical trials using topoisomerase inhibitors coupled with our findings of RAMS11- dependent regulation of TOP2α supports the potential use of RAMS11 as a biomarker and therapeutic target for mCRC.
    Type of Medium: Online Resource
    ISSN: 2041-1723
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
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