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North K, Benbarche S, Liu B, Pangallo J, Chen S, Stahl M, Bewersdorf JP, Stanley RF, Erickson C, Cho H, Pineda JMB, Thomas JD, Polaski JT, Belleville AE, Gabel AM, Udy DB, Humbert O, Kiem HP, Abdel-Wahab O, Bradley RK. Synthetic introns enable splicing factor mutation-dependent targeting of cancer cells. Nat Biotechnol 2022; 40:1103-1113. [PMID: 35241838 PMCID: PMC9288984 DOI: 10.1038/s41587-022-01224-2] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 01/17/2022] [Indexed: 11/16/2022]
Abstract
Many cancers carry recurrent, change-of-function mutations affecting RNA splicing factors. Here, we describe a method to harness this abnormal splicing activity to drive splicing factor mutation-dependent gene expression to selectively eliminate tumor cells. We engineered synthetic introns that were efficiently spliced in cancer cells bearing SF3B1 mutations, but unspliced in otherwise isogenic wild-type cells, to yield mutation-dependent protein production. A massively parallel screen of 8,878 introns delineated ideal intronic size and mapped elements underlying mutation-dependent splicing. Synthetic introns enabled mutation-dependent expression of herpes simplex virus-thymidine kinase (HSV-TK) and subsequent ganciclovir (GCV)-mediated killing of SF3B1-mutant leukemia, breast cancer, uveal melanoma and pancreatic cancer cells in vitro, while leaving wild-type cells unaffected. Delivery of synthetic intron-containing HSV-TK constructs to leukemia, breast cancer and uveal melanoma cells and GCV treatment in vivo significantly suppressed the growth of these otherwise lethal xenografts and improved mouse host survival. Synthetic introns provide a means to exploit tumor-specific changes in RNA splicing for cancer gene therapy.
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Affiliation(s)
- Khrystyna North
- Computational Biology Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Basic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Salima Benbarche
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Bo Liu
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Joseph Pangallo
- Computational Biology Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Basic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Molecular and Cellular Biology Graduate Program, University of Washington, Seattle, Washington, USA
| | - Sisi Chen
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Maximilian Stahl
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jan Philipp Bewersdorf
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Robert F Stanley
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Caroline Erickson
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Hana Cho
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jose Mario Bello Pineda
- Computational Biology Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Basic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Medical Scientist Training Program, University of Washington, Seattle, WA, USA
| | - James D Thomas
- Computational Biology Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Basic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jacob T Polaski
- Computational Biology Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Basic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Andrea E Belleville
- Computational Biology Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Basic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Molecular and Cellular Biology Graduate Program, University of Washington, Seattle, Washington, USA
- Medical Scientist Training Program, University of Washington, Seattle, WA, USA
| | - Austin M Gabel
- Computational Biology Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Basic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Medical Scientist Training Program, University of Washington, Seattle, WA, USA
| | - Dylan B Udy
- Computational Biology Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Basic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Molecular and Cellular Biology Graduate Program, University of Washington, Seattle, Washington, USA
| | - Olivier Humbert
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Hans-Peter Kiem
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Omar Abdel-Wahab
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Robert K Bradley
- Computational Biology Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
- Basic Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
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Abstract
PURPOSE OF REVIEW Splicing mutations are among the most recurrent genetic perturbations in hematological malignancies, highlighting an important impact of splicing regulation in hematopoietic development. However, compared to our understanding of splicing factor mutations in hematological malignancies, studies of splicing components and alternative splicing in normal hematopoiesis have been less well investigated. Here, we outline the most recent findings on splicing regulation in normal hematopoiesis and discuss the important questions in the field. RECENT FINDINGS Recent studies have highlighted the critical role of splicing regulation in hematopoiesis, including characterization of splicing components in normal hematopoiesis, investigation of transcriptional alterations on splicing, and identification of stage-specific alternative splicing events during hematopoietic development. SUMMARY These interesting findings provide insights on hematopoietic regulation at a co-transcriptional level. More high-throughput RNA ribonucleic acid (RNA) sequencing and functional genomic screens are needed to advance our knowledge of critical alternative splicing patterns in shaping hematopoiesis.
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Affiliation(s)
- Sisi Chen
- Human Oncology and Pathogenesis Program, Dept. of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065
| | - Omar Abdel-Wahab
- Human Oncology and Pathogenesis Program, Dept. of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065
- Leukemia Service, Dept. of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065
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Obeng EA, Stewart C, Abdel-Wahab O. Altered RNA Processing in Cancer Pathogenesis and Therapy. Cancer Discov 2019; 9:1493-1510. [PMID: 31611195 PMCID: PMC6825565 DOI: 10.1158/2159-8290.cd-19-0399] [Citation(s) in RCA: 75] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Revised: 06/21/2019] [Accepted: 08/08/2019] [Indexed: 12/17/2022]
Abstract
Major advances in our understanding of cancer pathogenesis and therapy have come from efforts to catalog genomic alterations in cancer. A growing number of large-scale genomic studies have uncovered mutations that drive cancer by perturbing cotranscriptional and post-transcriptional regulation of gene expression. These include alterations that affect each phase of RNA processing, including splicing, transport, editing, and decay of messenger RNA. The discovery of these events illuminates a number of novel therapeutic vulnerabilities generated by aberrant RNA processing in cancer, several of which have progressed to clinical development. SIGNIFICANCE: There is increased recognition that genetic alterations affecting RNA splicing and polyadenylation are common in cancer and may generate novel therapeutic opportunities. Such mutations may occur within an individual gene or in RNA processing factors themselves, thereby influencing splicing of many downstream target genes. This review discusses the biological impact of these mutations on tumorigenesis and the therapeutic approaches targeting cells bearing these mutations.
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Affiliation(s)
- Esther A Obeng
- Department of Oncology, St. Jude Children's Research Hospital, Memphis, Tennessee.
| | - Connor Stewart
- Human Oncology and Pathogenesis Program and Leukemia Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Omar Abdel-Wahab
- Human Oncology and Pathogenesis Program and Leukemia Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
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Abstract
BACKGROUND Gene mutations with important prognostic role have been identified in patients with myelodysplastic syndrome (MDS). We performed a meta-analysis to investigate the effects of RNA splicing machinery gene mutations on prognosis of MDS patients. METHODS We searched English database including PubMed, Embase, Cochrane Library for literatures published within recent 10 years on the effect of RNA splicing machinery genes in MDS. Revman version 5.2 software was used for all the statistical processing. We calculated risk ratio and 95% confidence interval (CI) of continuous variables, and find hazard ratio (HR) and 95% CI of time-to-event data. RESULTS We included 19 studies enrolling 4320 patients. There is a significant superior overall survival (OS) in splicing factor 3b, subunit 1 (SF3B1)-mutation group compared to unmutated group (HR = 0.58, 95% CI: 0.5-0.67, P < .00001); OS decreased significantly in serine/arginine-rich splicing factor 2/ U2 auxiliary factor protein 1 (SRSF2/U2AF1) mutation group compared to unmutated group, (HR = 1.62, 95% CI: 1.34-1.97, P < .00001 and HR = 1.61, 95% CI: 1.35-1.9, P < .00001, respectively). In terms of leukemia-free survival (LFS), the group with SF3B1 mutation had better outcome than unmutated group, HR = 0.63 (95% CI: 0.53-0.75, P < .00001). Other RNA splicing gene mutation group showed significant poor LFS than unmutated groups, (HR = 1.89, 95% CI: 1.6-2.23, P < .00001; HR = 2.77, 95% CI: 2.24-3.44, P < .00001; HR = 1.48, 95% CI: 1.08-2.03, P < .00001; for SRSF2, U2AF1, and zinc finger CCCH-type, RNA binding motif and serine/arginine rich 2 [ZRSR2], respectively). As for subgroup of low- or intermediate-1-IPSS risk MDS, SRSF2, and U2AF1 mutations were related to poor OS. (HR = 1.83, 95% CI: 1.43-2.35, P < .00001; HR = 2.11, 95% CI: 1.59-2.79, P < .00001 for SRSF2 and U2AF1, respectively). SRSF2 and U2AF1 mutations were strongly associated with male patients. SF3B1 mutation was strongly associated with disease staging. CONCLUSION This meta-analysis indicates a positive effect of SF3B1 and an adverse prognostic effect of SRSF2, U2AF1, and ZRSR2 mutations in patients with MDS. Mutations of RNA splicing genes have important effects on the prognosis of MDS.
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Mirtschink P, Jang C, Arany Z, Krek W. Fructose metabolism, cardiometabolic risk, and the epidemic of coronary artery disease. Eur Heart J 2018; 39:2497-2505. [PMID: 29020416 PMCID: PMC6037111 DOI: 10.1093/eurheartj/ehx518] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2017] [Revised: 07/16/2017] [Accepted: 08/15/2017] [Indexed: 02/06/2023] Open
Abstract
Despite strong indications that increased consumption of added sugars correlates with greater risks of developing cardiometabolic syndrome (CMS) and cardiovascular disease (CVD), independent of the caloric intake, the worldwide sugar consumption remains high. In considering the negative health impact of overconsumption of dietary sugars, increased attention is recently being given to the role of the fructose component of high-sugar foods in driving CMS. The primary organs capable of metabolizing fructose include liver, small intestine, and kidneys. In these organs, fructose metabolism is initiated by ketohexokinase (KHK) isoform C of the central fructose-metabolizing enzyme KHK. Emerging data suggest that this tissue restriction of fructose metabolism can be rescinded in oxygen-deprived environments. In this review, we highlight recent progress in understanding how fructose metabolism contributes to the development of major systemic pathologies that cooperatively promote CMS and CVD, reference recent insights into microenvironmental control of fructose metabolism under stress conditions and discuss how this understanding is shaping preventive actions and therapeutic approaches.
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Affiliation(s)
- Peter Mirtschink
- Department of Biology, Institute of Molecular Health Sciences, ETH Zurich, Otto-Stern-Weg 7, Zurich, Switzerland
- Department of Clinical Pathobiochemistry, Institute of Clinical Chemistry and Laboratory Medicine, University Hospital Dresden, Fetscherstr. 74, Dresden, Germany
| | - Cholsoon Jang
- Department of Medicine, Cardiovascular Institute and Institute Diabetes Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, 11th floor, Civic Blvd, Philadelphia, 19104 PA, USA
| | - Zoltan Arany
- Department of Medicine, Cardiovascular Institute and Institute Diabetes Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, 11th floor, Civic Blvd, Philadelphia, 19104 PA, USA
| | - Wilhelm Krek
- Department of Biology, Institute of Molecular Health Sciences, ETH Zurich, Otto-Stern-Weg 7, Zurich, Switzerland
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Johnson DB, Roszik J, Shoushtari AN, Eroglu Z, Balko J, Higham C, Puzanov I, Patel SP, Sosman JA, Woodman SE. Comparative analysis of the GNAQ, GNA11, SF3B1, and EIF1AX driver mutations in melanoma and across the cancer spectrum. Pigment Cell Melanoma Res 2016; 29:470-3. [PMID: 27089234 PMCID: PMC5678944 DOI: 10.1111/pcmr.12482] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Uveal melanoma is characterized by recurrent mutations in GNAQ, GNA11, SF3B1, and EIF1AX, as well as a low total mutational burden. The frequency and clinical significance of these mutations in non-uveal melanoma and other cancers is not well described. We identified that GNAQ/GNA11 mutations occur in 0.5–1% of non-uveal melanomas and are essentially melanoma-specific. Further, these mutations are associated with a lack of other typical melanoma mutations (BRAF, NRAS, KIT, NF1), a low mutational burden, and, in a small subset, lack of response to immunotherapy. We suggest that GNAQ/GNA11 mutations characterize an uncommon but distinct subtype of non-uveal melanomas.
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Affiliation(s)
- Douglas B. Johnson
- Department of Medicine, Division of Hematology/Oncology, Vanderbilt University Medical Center, Nashville, TNs
| | - Jason Roszik
- Department of Melanoma Medical Oncology, University of Texas, MD Anderson Cancer Center, Houston, TX,Department of Systems Biology, University of Texas, MD Anderson Cancer Center, Houston, TX
| | - Alexander N. Shoushtari
- Melanoma and Immunotherapeutics Service, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Zeynep Eroglu
- Department of Cutaneous Oncology, Moffitt Cancer Center, Tampa, FL
| | - Justin Balko
- Department of Medicine, Division of Hematology/Oncology, Vanderbilt University Medical Center, Nashville, TNs,Department of Cancer Biology, Vanderbilt University Medical Center, Nashville, TN
| | - Catherine Higham
- School of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Igor Puzanov
- Department of Medicine, Division of Hematology/Oncology, Vanderbilt University Medical Center, Nashville, TNs
| | - Sapna P. Patel
- Department of Melanoma Medical Oncology, University of Texas, MD Anderson Cancer Center, Houston, TX
| | - Jeffrey A. Sosman
- Department of Medicine, Division of Hematology/Oncology, Vanderbilt University Medical Center, Nashville, TNs
| | - Scott E. Woodman
- Department of Melanoma Medical Oncology, University of Texas, MD Anderson Cancer Center, Houston, TX,Department of Systems Biology, University of Texas, MD Anderson Cancer Center, Houston, TX
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