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Borad MJ, Egan JB, Condjella RM, Liang WS, Fonseca R, Ritacca NR, McCullough AE, Barrett MT, Hunt KS, Champion MD, Patel MD, Young SW, Silva AC, Ho TH, Halfdanarson TR, McWilliams RR, Lazaridis KN, Ramanathan RK, Baker A, Aldrich J, Kurdoglu A, Izatt T, Christoforides A, Cherni I, Nasser S, Reiman R, Cuyugan L, McDonald J, Adkins J, Mastrian SD, Valdez R, Jaroszewski DE, Von Hoff DD, Craig DW, Stewart AK, Carpten JD, Bryce AH. Clinical Implementation of Integrated Genomic Profiling in Patients with Advanced Cancers. Sci Rep 2016; 6:25. [PMID: 28003660 PMCID: PMC5431338 DOI: 10.1038/s41598-016-0021-4] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2016] [Accepted: 11/02/2016] [Indexed: 12/20/2022] Open
Abstract
DNA focused panel sequencing has been rapidly adopted to assess therapeutic targets in advanced/refractory cancer. Integrated Genomic Profiling (IGP) utilising DNA/RNA with tumour/normal comparisons in a Clinical Laboratory Improvement Amendments (CLIA) compliant setting enables a single assay to provide: therapeutic target prioritisation, novel target discovery/application and comprehensive germline assessment. A prospective study in 35 advanced/refractory cancer patients was conducted using CLIA-compliant IGP. Feasibility was assessed by estimating time to results (TTR), prioritising/assigning putative therapeutic targets, assessing drug access, ascertaining germline alterations, and assessing patient preferences/perspectives on data use/reporting. Therapeutic targets were identified using biointelligence/pathway analyses and interpreted by a Genomic Tumour Board. Seventy-five percent of cases harboured 1–3 therapeutically targetable mutations/case (median 79 mutations of potential functional significance/case). Median time to CLIA-validated results was 116 days with CLIA-validation of targets achieved in 21/22 patients. IGP directed treatment was instituted in 13 patients utilising on/off label FDA approved drugs (n = 9), clinical trials (n = 3) and single patient IND (n = 1). Preliminary clinical efficacy was noted in five patients (two partial response, three stable disease). Although barriers to broader application exist, including the need for wider availability of therapies, IGP in a CLIA-framework is feasible and valuable in selection/prioritisation of anti-cancer therapeutic targets.
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Affiliation(s)
- Mitesh J Borad
- Division of Hematology/Oncology Mayo Clinic, Scottsdale, AZ, USA. .,Mayo Clinic Cancer Center, Scottsdale, AZ, USA. .,Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.
| | - Jan B Egan
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
| | | | - Winnie S Liang
- Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Rafael Fonseca
- Division of Hematology/Oncology Mayo Clinic, Scottsdale, AZ, USA.,Mayo Clinic Cancer Center, Scottsdale, AZ, USA.,Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
| | | | | | - Michael T Barrett
- Mayo Clinic Cancer Center, Scottsdale, AZ, USA.,Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Katherine S Hunt
- Division of Hematology/Oncology Mayo Clinic, Scottsdale, AZ, USA
| | - Mia D Champion
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.,Department of Biomedical Statistics and Informatics, Mayo Clinic, Scottsdale, AZ, USA
| | | | - Scott W Young
- Department of Radiology, Mayo Clinic, Scottsdale, AZ, USA
| | - Alvin C Silva
- Department of Radiology, Mayo Clinic, Scottsdale, AZ, USA
| | - Thai H Ho
- Division of Hematology/Oncology Mayo Clinic, Scottsdale, AZ, USA.,Mayo Clinic Cancer Center, Scottsdale, AZ, USA.,Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
| | - Thorvardur R Halfdanarson
- Division of Hematology/Oncology Mayo Clinic, Scottsdale, AZ, USA.,Mayo Clinic Cancer Center, Scottsdale, AZ, USA.,Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
| | - Robert R McWilliams
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.,Mayo Clinic Cancer Center, Rochester, MN, USA
| | | | - Ramesh K Ramanathan
- Division of Hematology/Oncology Mayo Clinic, Scottsdale, AZ, USA.,Mayo Clinic Cancer Center, Scottsdale, AZ, USA
| | - Angela Baker
- Translational Genomics Research Institute, Phoenix, AZ, USA
| | | | - Ahmet Kurdoglu
- Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Tyler Izatt
- Translational Genomics Research Institute, Phoenix, AZ, USA
| | | | - Irene Cherni
- Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Sara Nasser
- Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Rebecca Reiman
- Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Lori Cuyugan
- Translational Genomics Research Institute, Phoenix, AZ, USA
| | | | | | | | | | | | | | - David W Craig
- Translational Genomics Research Institute, Phoenix, AZ, USA
| | - A Keith Stewart
- Division of Hematology/Oncology Mayo Clinic, Scottsdale, AZ, USA.,Mayo Clinic Cancer Center, Scottsdale, AZ, USA.,Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
| | - John D Carpten
- Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Alan H Bryce
- Division of Hematology/Oncology Mayo Clinic, Scottsdale, AZ, USA.,Mayo Clinic Cancer Center, Scottsdale, AZ, USA.,Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
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Champion MD, Francis P, Pockaj BA, Barrett MT. Abstract 4861: Hybrid clustering methodologies to distinguish CNAs and/or SNVs that drive subclonal differentiation in samples from a breast cancer patient primary tumor and metastatic lymph nodes. Cancer Res 2015. [DOI: 10.1158/1538-7445.am2015-4861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Next generation sequencing (NGS) has revealed that the genetic profiles of individual tumors are highly heterogeneous due to their subclonal composition. Tumor heterogeneity has profound clinical implications affecting differences in treatment response and therapeutic resistance.
Methods: An estrogen receptor positive, Her2 normal breast cancer patient underwent definitive surgical treatment with modified radical mastectomy. Multiple samples were obtained from the primary cancer and metastatic lymph nodes. Flow cytometry based methods were used to isolate and classify distinct cell subpopulations according to their ploidy, and samples were processed for whole exome sequencing (WES). Comparative Genomic Hybridization (CGH) methods were used to identify somatic unique copy-number alterations (CNAs). WES-Single Nucleotide Variations (SNVs) were used to infer subclonal phylogenetic relationships using Maximum Parsimony methods and annotated with variation-cluster-barcodes (vc-barcodes) generated using a variation Bayesian mixture model (VBMM) approach that focuses on copy-number neutral sequence variations for subclone identification (SciClone). Our comparative phylogenetic-VBMM clustering method was used to identify CNA and/or SNV drivers that are key in differentiating subclonal populations at multiple tumor sites.
Results: CNA-neutral WES-SNVs from 25 subclonal populations (isolated from 4 distinct sites) clustered into 6 major groups and were used to generate vc-barcodes. A phylogenetic reconstruction of subclonal architecture annotated with vc-barcode information expedited identification of key variations underlying the differentiation of subclones at distinct tumor sites. For example, we identified an amplification event involving the Anaplastic Lymphoma Kinase (ALK) gene that was more frequent in primary biopsy subclones (12/17, ∼71%) in comparison to metastatic subclones (2/6, ∼34%). As the ALK amplification is lost, we find that most of the metastatic subclones also acquire a predicted damaging mutation in this oncogene (4/6, ∼67%). In addition, we identified a potential driver metastatic cell lineage that carries the ALK amplification in the absence of the nonsynonymous mutation.
Conclusions: We developed a hybrid clustering methodology and used it to reconstruct the subclonal architecture in primary and metastatic tumors from a single breast cancer patient. Our methods have identified several CNAs and/or SNVs underlying subclonal differentiation, as well as potential biomarkers of disease progression and indicators of emerging resistance. Application of these methods to larger cohorts and types of tumors should be conducted to ascertain more precise estimates of the predictive accuracy of our processes.
Citation Format: Mia D. Champion, Princy Francis, Barbara A. Pockaj, Michael T. Barrett. Hybrid clustering methodologies to distinguish CNAs and/or SNVs that drive subclonal differentiation in samples from a breast cancer patient primary tumor and metastatic lymph nodes. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 4861. doi:10.1158/1538-7445.AM2015-4861
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Ho TH, Park IY, Zhao H, Tong P, Champion MD, Yan H, Monzon FA, Hoang A, Tamboli P, Parker AS, Joseph RW, Qiao W, Dykema K, Tannir NM, Castle EP, Nunez-Nateras R, Teh BT, Wang J, Walker CL, Hung MC, Jonasch E. High-resolution profiling of histone h3 lysine 36 trimethylation in metastatic renal cell carcinoma. Oncogene 2015; 35:1565-74. [PMID: 26073078 PMCID: PMC4679725 DOI: 10.1038/onc.2015.221] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2014] [Revised: 03/01/2015] [Accepted: 03/06/2015] [Indexed: 02/07/2023]
Abstract
Mutations in SETD2, a histone H3 lysine trimethyltransferase, have been identified in clear cell renal cell carcinoma (ccRCC); however it is unclear if loss of SETD2 function alters the genomic distribution of histone 3 lysine 36 trimethylation (H3K36me3) in ccRCC. Furthermore, published epigenomic profiles are not specific to H3K36me3 or metastatic tumors. To determine if progressive SETD2 and H3K36me3 dysregulation occurs in metastatic tumors, H3K36me3, SETD2 copy number (CN) or SETD2 mRNA abundance was assessed in two independent cohorts: metastatic ccRCC (n=71) and the Cancer Genome Atlas Kidney Renal Clear Cell Carcinoma data set (n=413). Although SETD2 CN loss occurs with high frequency (>90%), H3K36me3 is not significantly impacted by monoallelic loss of SETD2. H3K36me3-positive nuclei were reduced an average of ~20% in primary ccRCC (90% positive nuclei in uninvolved vs 70% positive nuclei in ccRCC) and reduced by ~60% in metastases (90% positive in uninvolved kidney vs 30% positive in metastases) (P<0.001). To define a kidney-specific H3K36me3 profile, we generated genome-wide H3K36me3 profiles from four cytoreductive nephrectomies and SETD2 isogenic renal cell carcinoma (RCC) cell lines using chromatin immunoprecipitation coupled with high-throughput DNA sequencing and RNA sequencing. SETD2 loss of methyltransferase activity leads to regional alterations of H3K36me3 associated with aberrant RNA splicing in a SETD2 mutant RCC and SETD2 knockout cell line. These data suggest that during progression of ccRCC, a decline in H3K36me3 is observed in distant metastases, and regional H3K36me3 alterations influence alternative splicing in ccRCC.
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Affiliation(s)
- T H Ho
- Division of Hematology and Medical Oncology, Mayo Clinic, Scottsdale, AZ, USA.,Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA
| | - I Y Park
- Center for Translational Cancer Research, Institute of Biosciences and Technology, Texas A&M Health Science Center, Houston, TX, USA
| | - H Zhao
- Department of Bioinformatics and Computational Biology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - P Tong
- Department of Bioinformatics and Computational Biology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - M D Champion
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.,Department of Biomedical Statistics and Informatics, Mayo Clinic, Scottsdale, AZ, USA
| | - H Yan
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.,Department of Biomedical Statistics and Informatics, Rochester, MN, USA
| | - F A Monzon
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, TX, USA
| | - A Hoang
- Department of Genitourinary Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - P Tamboli
- Department of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - A S Parker
- Department of Health Sciences Research, Mayo Clinic, Jacksonville, FL, USA
| | - R W Joseph
- Division of Hematology and Medical Oncology, Mayo Clinic, Jacksonville, FL, USA
| | - W Qiao
- Division of Quantitative Sciences, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - K Dykema
- Center for Cancer Genomics and Computational Biology, Van Andel Institute, Grand Rapids, MI, USA
| | - N M Tannir
- Department of Genitourinary Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - E P Castle
- Department of Urology, Mayo Clinic, Scottsdale, AZ, USA
| | | | - B T Teh
- Center for Cancer Genomics and Computational Biology, Van Andel Institute, Grand Rapids, MI, USA
| | - J Wang
- Department of Bioinformatics and Computational Biology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - C L Walker
- Center for Translational Cancer Research, Institute of Biosciences and Technology, Texas A&M Health Science Center, Houston, TX, USA
| | - M-C Hung
- Department of Molecular and Cellular Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.,Center for Molecular Medicine and Graduate Institute of Cancer Biology, China Medical University, Taichung, Taiwan
| | - E Jonasch
- Department of Genitourinary Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
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Yamada D, Rizvi S, Razumilava N, Bronk SF, Davila JI, Champion MD, Borad MJ, Bezerra JA, Chen X, Gores GJ. IL-33 facilitates oncogene-induced cholangiocarcinoma in mice by an interleukin-6-sensitive mechanism. Hepatology 2015; 61:1627-42. [PMID: 25580681 PMCID: PMC4406813 DOI: 10.1002/hep.27687] [Citation(s) in RCA: 104] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2014] [Accepted: 01/05/2015] [Indexed: 12/15/2022]
Abstract
UNLABELLED Cholangiocarcinoma (CCA) is a lethal hepatobiliary neoplasm originating from the biliary apparatus. In humans, CCA risk factors include hepatobiliary inflammation and fibrosis. The recently identified interleukin (IL)-1 family member, IL-33, has been shown to be a biliary mitogen which also promotes liver inflammation and fibrosis. Our aim was to generate a mouse model of CCA mimicking the human disease. Ectopic oncogene expression in the biliary tract was accomplished by the Sleeping Beauty transposon transfection system with transduction of constitutively active AKT (myr-AKT) and Yes-associated protein. Intrabiliary instillation of the transposon-transposase complex was coupled with lobar bile duct ligation in C57BL/6 mice, followed by administration of IL-33 for 3 consecutive days. Tumors developed in 72% of the male mice receiving both oncogenes plus IL-33 by 10 weeks but in only 20% of the male mice transduced with the oncogenes alone. Tumors expressed SOX9 and pancytokeratin (features of CCA) but were negative for HepPar1 (a marker of hepatocellular carcinoma). Substantive overlap with human CCA specimens was revealed by RNA profiling. Not only did IL-33 induce IL-6 expression by human cholangiocytes but it likely facilitated tumor development in vivo by an IL-6-sensitive process as tumor development was significantly attenuated in Il-6(-/-) male animals. Furthermore, tumor formation occurred at a similar rate when IL-6 was substituted for IL-33 in this model. CONCLUSION The transposase-mediated transduction of constitutively active AKT and Yes-associated protein in the biliary epithelium coupled with lobar obstruction and IL-33 administration results in the development of CCA with morphological and biochemical features of the human disease; this model highlights the role of inflammatory cytokines in CCA oncogenesis.
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Affiliation(s)
- Daisaku Yamada
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN
| | - Sumera Rizvi
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN
| | | | - Steven F. Bronk
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN
| | - Jaime I. Davila
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Mia D. Champion
- Department of Biomedical Statistics and Informatics, Mayo Clinic, Scottsdale, Arizona
| | - Mitesh J. Borad
- Division of Hematology/Oncology, Mayo Clinic, Scottsdale, AZ
| | - Jorge A. Bezerra
- Division of Gastroenterology, Hepatology and Nutrition, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Xin Chen
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA
| | - Gregory J. Gores
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN
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Kortüm KM, Langer C, Monge J, Bruins L, Egan JB, Zhu YX, Shi CX, Jedlowski P, Schmidt J, Ojha J, Bullinger L, Liebisch P, Kull M, Champion MD, Van Wier S, Ahmann G, Rasche L, Knop S, Fonseca R, Einsele H, Stewart AK, Braggio E. Targeted sequencing using a 47 gene multiple myeloma mutation panel (M(3) P) in -17p high risk disease. Br J Haematol 2014; 168:507-10. [PMID: 25302557 DOI: 10.1111/bjh.13171] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2014] [Accepted: 09/04/2014] [Indexed: 02/03/2023]
Abstract
We constructed a multiple myeloma (MM)-specific gene panel for targeted sequencing and investigated 72 untreated high-risk (del17p) MM patients. Mutations were identified in 78% of the patients. While the majority of studied genes were mutated at similar frequency to published literature, the prevalence of TP53 mutation was increased (28%) and no mutations were found in FAM46C. This study provides a comprehensive insight into the mutational landscape of del17p high-risk MM. Additionally, our work demonstrates the practical use of a customized sequencing panel, as an easy, cheap and fast approach to characterize the mutational profile of MM.
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Affiliation(s)
- Klaus M Kortüm
- Division of Hematology - Oncology, Mayo Clinic, Scottsdale, AZ, USA
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Egan JB, Bryce AH, Champion MD, Liang WS, Fonseca R, McCullough AE, Barrett MT, Hunt K, Condjella RM, McWilliams RR, Mastrian SD, LoBello J, Hoff DV, Craig DW, Stewart AK, Carpten JD, Borad MJ. Abstract 4694: Indices of actionability and clinical utility in a CLIA-enabled study of whole genome/exome/RNA sequencing in 33 cancer patients: Actionable vs. utility. Cancer Res 2014. [DOI: 10.1158/1538-7445.am2014-4694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Whole genome/exome/RNA sequencing has revolutionized the ability to assess the genomic landscape of cancer and is increasingly being utilized for clinical decision-making. Initial clinical applications have been constrained by specimen quantity, analyte quality and the time from sample acquisition to results report.
Methods: Patients with advanced cancers underwent surgical resection, excisional/core biopsies, or bone marrow biopsy. Samples were analyzed by whole genome or exome sequencing in addition to RNA sequencing, bioinformatics analysis, and therapeutic target prioritization by a multi-disciplinary Clinical Genomics Board. All prioritized targets were CLIA validated using Sanger sequencing, RT-qPCR, FISH, or IHC as appropriate. Treatment was delivered using off-label FDA approved drugs, clinical trials, or single patient INDs.
Results: We have enrolled 40 patients for whom sequencing data is available on 33. The initial 6 patients were evaluated in a non-CLIA pilot phase and 27 in a CLIA-enabled phase. Tumor types in the CLIA-enabled phase with the highest enrollment were pancreatic cancer (n=8) and cholangiocarcinoma (n=8). We sought to quantify the targets identified along with clinical benefit, defining these as the “Actionable Index” (AI) (proportion of patients with ≥ 1 putative drug target) and “Utility Index” (UI) (proportion of patients who derive clinical benefit). Putative therapeutic targets were identified in 7/8 (AI=0.88) cholangiocarcinoma (CC) patients and in 5/8 (AI=0.63) pancreatic cancer (PC) patients. All 3 CC patients who received target directed treatment achieved a partial response (UI=0.38). In contrast, none of the 4 PC patients who received target directed therapy had treatment response (UI=0.0). Interestingly no actionable targets were identified in 1 CC and in 2 PCs. One CC with an identified target was unable to access the drug and subsequently died. A CC patient and a PC patient, each with identified targets, expired prior to the initiation of therapy.
Conclusions: While whole genome/exome/RNA sequencing is providing unparalleled detail of tumor genomes, the application to the clinic must be carefully considered. Actionability of targets will eventually need to be defined in close relation to eventual clinical utility and appropriate refinements to disease-gene-drug databases implemented. Preliminary observations in pancreatic cancer and cholangiocarcinoma demonstrate disparity in correlation between utility indices and actionable indices. Application of these tools in larger cohorts and types of tumors will need to be conducted to ascertain more precise estimates. Additional measures that are organ-site agnostic but pertain to specific targets (e.g. BRAF) will also need to be developed in order to facilitate more judicious application of sequencing in the clinical setting.
Citation Format: Jan B. Egan, Alan H. Bryce, Mia D. Champion, Winnie S. Liang, Rafael Fonseca, Ann E. McCullough, Michael T. Barrett, Katherine Hunt, Rachel M. Condjella, Robert R. McWilliams, Stephen D. Mastrian, Janine LoBello, Daniel Von Hoff, David W. Craig, A. Keith Stewart, John D. Carpten, Mitesh J. Borad. Indices of actionability and clinical utility in a CLIA-enabled study of whole genome/exome/RNA sequencing in 33 cancer patients: Actionable vs. utility. [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 4694. doi:10.1158/1538-7445.AM2014-4694
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Zhu YX, Braggio E, Shi CX, Kortüm KM, Bruins LA, Schmidt JE, Chang XB, Langlais P, Moulun L, Jedlowski P, LaPlant B, Laumann KM, Fonseca R, Bergsagel PL, Mikhael J, Lacy M, Champion MD, Stewart AK. Ikaros expression levels to predict response and survival following pomalidomide and dexamethasone in multiple myeloma (MM). J Clin Oncol 2014. [DOI: 10.1200/jco.2014.32.15_suppl.8540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
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Champion MD, Yan H, Evans J, Nie J, Lee JH, Davila JI, Moore R, Ordog T, Zhang Z, Joseph RW, Stewart AK, Kocher JPA, Jonasch E, Ho TH. A tool to predict post-transcriptional instability related to the dysregulation of the SETD2 histone methyltransferase in renal cell carcinoma (RCC). J Clin Oncol 2014. [DOI: 10.1200/jco.2014.32.15_suppl.11072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | - Eric Jonasch
- The University of Texas MD Anderson Cancer Center, Houston, TX
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Borad MJ, Champion MD, Egan JB, Liang WS, Fonseca R, Bryce AH, McCullough AE, Barrett MT, Hunt K, Patel MD, Young SW, Collins JM, Silva AC, Condjella RM, Block M, McWilliams RR, Lazaridis KN, Klee EW, Bible KC, Harris P, Oliver GR, Bhavsar JD, Nair AA, Middha S, Asmann Y, Kocher JP, Schahl K, Kipp BR, Barr Fritcher EG, Baker A, Aldrich J, Kurdoglu A, Izatt T, Christoforides A, Cherni I, Nasser S, Reiman R, Phillips L, McDonald J, Adkins J, Mastrian SD, Placek P, Watanabe AT, LoBello J, Han H, Von Hoff D, Craig DW, Stewart AK, Carpten JD. Integrated genomic characterization reveals novel, therapeutically relevant drug targets in FGFR and EGFR pathways in sporadic intrahepatic cholangiocarcinoma. PLoS Genet 2014; 10:e1004135. [PMID: 24550739 PMCID: PMC3923676 DOI: 10.1371/journal.pgen.1004135] [Citation(s) in RCA: 315] [Impact Index Per Article: 31.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2013] [Accepted: 12/06/2013] [Indexed: 12/18/2022] Open
Abstract
Advanced cholangiocarcinoma continues to harbor a difficult prognosis and therapeutic options have been limited. During the course of a clinical trial of whole genomic sequencing seeking druggable targets, we examined six patients with advanced cholangiocarcinoma. Integrated genome-wide and whole transcriptome sequence analyses were performed on tumors from six patients with advanced, sporadic intrahepatic cholangiocarcinoma (SIC) to identify potential therapeutically actionable events. Among the somatic events captured in our analysis, we uncovered two novel therapeutically relevant genomic contexts that when acted upon, resulted in preliminary evidence of anti-tumor activity. Genome-wide structural analysis of sequence data revealed recurrent translocation events involving the FGFR2 locus in three of six assessed patients. These observations and supporting evidence triggered the use of FGFR inhibitors in these patients. In one example, preliminary anti-tumor activity of pazopanib (in vitro FGFR2 IC50≈350 nM) was noted in a patient with an FGFR2-TACC3 fusion. After progression on pazopanib, the same patient also had stable disease on ponatinib, a pan-FGFR inhibitor (in vitro, FGFR2 IC50≈8 nM). In an independent non-FGFR2 translocation patient, exome and transcriptome analysis revealed an allele specific somatic nonsense mutation (E384X) in ERRFI1, a direct negative regulator of EGFR activation. Rapid and robust disease regression was noted in this ERRFI1 inactivated tumor when treated with erlotinib, an EGFR kinase inhibitor. FGFR2 fusions and ERRFI mutations may represent novel targets in sporadic intrahepatic cholangiocarcinoma and trials should be characterized in larger cohorts of patients with these aberrations. Cholangiocarcinoma is a cancer that affects the bile ducts. Unfortunately, many patients diagnosed with cholangiocarcinoma have disease that cannot be treated with surgery or has spread to other parts of the body, thus severely limiting treatment options. New advances in drug treatment have enabled treatment of these cancers with “targeted therapy” that exploits an error in the normal functioning of a tumor cell, compared to other cells in the body, thus allowing only tumor cells to be killed by the drug. We sought to identify changes in the genetic material of cholangiocarcinoma patient tumors in order to identify potential errors in cellular functioning by utilizing cutting edge genetic sequencing technology. We identified three patient tumors possessing an FGFR2 gene that was aberrantly fused to another gene. Two of these patients were able to receive targeted therapy for FGFR2 with resulting tumor shrinkage. A fourth tumor contained an error in a gene that controls a very important cellular mechanism in cancer, termed epidermal growth factor pathway (EGFR). This patient received therapy targeting this mechanism and also demonstrated response to treatment. Thus, we have been able to utilize cutting edge technology with targeted drug treatment to personalize medical treatment for cancer in cholangiocarcinoma patients.
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Affiliation(s)
- Mitesh J. Borad
- Division of Hematology/Oncology Mayo Clinic, Scottsdale, Arizona, United States of America
- Mayo Clinic Cancer Center, Scottsdale, Arizona, United States of America
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, United States of America
- * E-mail: (MJB); (JDC)
| | - Mia D. Champion
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, United States of America
- Department of Biomedical Statistics and Informatics, Mayo Clinic, Scottsdale, Arizona, United States of America
| | - Jan B. Egan
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Winnie S. Liang
- Translational Genomics Research Institute, Phoenix, Arizona, United States of America
| | - Rafael Fonseca
- Division of Hematology/Oncology Mayo Clinic, Scottsdale, Arizona, United States of America
- Mayo Clinic Cancer Center, Scottsdale, Arizona, United States of America
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Alan H. Bryce
- Division of Hematology/Oncology Mayo Clinic, Scottsdale, Arizona, United States of America
- Mayo Clinic Cancer Center, Scottsdale, Arizona, United States of America
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Ann E. McCullough
- Department of Pathology, Mayo Clinic, Scottsdale, Arizona, United States of America
| | - Michael T. Barrett
- Mayo Clinic Cancer Center, Scottsdale, Arizona, United States of America
- Translational Genomics Research Institute, Phoenix, Arizona, United States of America
| | - Katherine Hunt
- Division of Hematology/Oncology Mayo Clinic, Scottsdale, Arizona, United States of America
| | - Maitray D. Patel
- Department of Radiology, Mayo Clinic, Scottsdale, Arizona, United States of America
| | - Scott W. Young
- Department of Radiology, Mayo Clinic, Scottsdale, Arizona, United States of America
| | - Joseph M. Collins
- Department of Radiology, Mayo Clinic, Scottsdale, Arizona, United States of America
| | - Alvin C. Silva
- Department of Radiology, Mayo Clinic, Scottsdale, Arizona, United States of America
| | | | - Matthew Block
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, United States of America
- Mayo Clinic Cancer Center, Rochester, Minnesota, United States of America
| | - Robert R. McWilliams
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, United States of America
- Mayo Clinic Cancer Center, Rochester, Minnesota, United States of America
| | | | - Eric W. Klee
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, United States of America
- Department of Biomedical Statistics and Informatics, Mayo Clinic, Scottsdale, Arizona, United States of America
| | - Keith C. Bible
- Mayo Clinic Cancer Center, Rochester, Minnesota, United States of America
| | - Pamela Harris
- Investigational Drug Branch, National Cancer Institute, Rockville, Maryland, United States of America
| | - Gavin R. Oliver
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, United States of America
- Department of Biomedical Statistics and Informatics, Mayo Clinic, Scottsdale, Arizona, United States of America
| | - Jaysheel D. Bhavsar
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, United States of America
- Department of Biomedical Statistics and Informatics, Mayo Clinic, Scottsdale, Arizona, United States of America
| | - Asha A. Nair
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, United States of America
- Department of Biomedical Statistics and Informatics, Mayo Clinic, Scottsdale, Arizona, United States of America
| | - Sumit Middha
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, United States of America
- Department of Biomedical Statistics and Informatics, Mayo Clinic, Scottsdale, Arizona, United States of America
| | - Yan Asmann
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, United States of America
- Department of Biomedical Statistics and Informatics, Mayo Clinic, Scottsdale, Arizona, United States of America
| | - Jean-Pierre Kocher
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, United States of America
- Department of Biomedical Statistics and Informatics, Mayo Clinic, Scottsdale, Arizona, United States of America
| | - Kimberly Schahl
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Benjamin R. Kipp
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Emily G. Barr Fritcher
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Angela Baker
- Translational Genomics Research Institute, Phoenix, Arizona, United States of America
| | - Jessica Aldrich
- Translational Genomics Research Institute, Phoenix, Arizona, United States of America
| | - Ahmet Kurdoglu
- Translational Genomics Research Institute, Phoenix, Arizona, United States of America
| | - Tyler Izatt
- Translational Genomics Research Institute, Phoenix, Arizona, United States of America
| | - Alexis Christoforides
- Translational Genomics Research Institute, Phoenix, Arizona, United States of America
| | - Irene Cherni
- Translational Genomics Research Institute, Phoenix, Arizona, United States of America
| | - Sara Nasser
- Translational Genomics Research Institute, Phoenix, Arizona, United States of America
| | - Rebecca Reiman
- Translational Genomics Research Institute, Phoenix, Arizona, United States of America
| | - Lori Phillips
- Translational Genomics Research Institute, Phoenix, Arizona, United States of America
| | - Jackie McDonald
- Translational Genomics Research Institute, Phoenix, Arizona, United States of America
| | - Jonathan Adkins
- Translational Genomics Research Institute, Phoenix, Arizona, United States of America
| | - Stephen D. Mastrian
- Translational Genomics Research Institute, Phoenix, Arizona, United States of America
| | - Pamela Placek
- Translational Genomics Research Institute, Phoenix, Arizona, United States of America
| | - Aprill T. Watanabe
- Translational Genomics Research Institute, Phoenix, Arizona, United States of America
| | - Janine LoBello
- Translational Genomics Research Institute, Phoenix, Arizona, United States of America
| | - Haiyong Han
- Translational Genomics Research Institute, Phoenix, Arizona, United States of America
| | - Daniel Von Hoff
- Mayo Clinic Cancer Center, Scottsdale, Arizona, United States of America
- Translational Genomics Research Institute, Phoenix, Arizona, United States of America
| | - David W. Craig
- Translational Genomics Research Institute, Phoenix, Arizona, United States of America
| | - A. Keith Stewart
- Division of Hematology/Oncology Mayo Clinic, Scottsdale, Arizona, United States of America
- Mayo Clinic Cancer Center, Scottsdale, Arizona, United States of America
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, United States of America
| | - John D. Carpten
- Translational Genomics Research Institute, Phoenix, Arizona, United States of America
- * E-mail: (MJB); (JDC)
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10
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Egan JB, Barrett MT, Champion MD, Middha S, Lenkiewicz E, Evers L, Francis P, Schmidt J, Shi CX, Van Wier S, Badar S, Ahmann G, Kortuem KM, Boczek NJ, Fonseca R, Craig DW, Carpten JD, Borad MJ, Stewart AK. Whole genome analyses of a well-differentiated liposarcoma reveals novel SYT1 and DDR2 rearrangements. PLoS One 2014; 9:e87113. [PMID: 24505276 PMCID: PMC3914808 DOI: 10.1371/journal.pone.0087113] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2013] [Accepted: 12/22/2013] [Indexed: 12/30/2022] Open
Abstract
Liposarcoma is the most common soft tissue sarcoma, but little is known about the genomic basis of this disease. Given the low cell content of this tumor type, we utilized flow cytometry to isolate the diploid normal and aneuploid tumor populations from a well-differentiated liposarcoma prior to array comparative genomic hybridization and whole genome sequencing. This work revealed massive highly focal amplifications throughout the aneuploid tumor genome including MDM2, a gene that has previously been found to be amplified in well-differentiated liposarcoma. Structural analysis revealed massive rearrangement of chromosome 12 and 11 gene fusions, some of which may be part of double minute chromosomes commonly present in well-differentiated liposarcoma. We identified a hotspot of genomic instability localized to a region of chromosome 12 that includes a highly conserved, putative L1 retrotransposon element, LOC100507498 which resides within a gene cluster (NAV3, SYT1, PAWR) where 6 of the 11 fusion events occurred. Interestingly, a potential gene fusion was also identified in amplified DDR2, which is a potential therapeutic target of kinase inhibitors such as dastinib, that are not routinely used in the treatment of patients with liposarcoma. Furthermore, 7 somatic, damaging single nucleotide variants have also been identified, including D125N in the PTPRQ protein. In conclusion, this work is the first to report the entire genome of a well-differentiated liposarcoma with novel chromosomal rearrangements associated with amplification of therapeutically targetable genes such as MDM2 and DDR2.
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Affiliation(s)
- Jan B. Egan
- Comprehensive Cancer Center, Mayo Clinic, Scottsdale, Arizona, United States of America
| | - Michael T. Barrett
- Clinical Translational Research Division, Translational Genomics Research Institute, Phoenix, Arizona, United States of America
| | - Mia D. Champion
- Department of Biomedical Statistics and Informatics, Mayo Clinic, Scottsdale, Arizona, United States of America
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Sumit Middha
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Elizabeth Lenkiewicz
- Clinical Translational Research Division, Translational Genomics Research Institute, Phoenix, Arizona, United States of America
| | - Lisa Evers
- Clinical Translational Research Division, Translational Genomics Research Institute, Phoenix, Arizona, United States of America
| | - Princy Francis
- Research, Mayo Clinic, Scottsdale, Arizona, United States of America
| | - Jessica Schmidt
- Research, Mayo Clinic, Scottsdale, Arizona, United States of America
| | - Chang-Xin Shi
- Research, Mayo Clinic, Scottsdale, Arizona, United States of America
| | - Scott Van Wier
- Research, Mayo Clinic, Scottsdale, Arizona, United States of America
| | - Sandra Badar
- Research, Mayo Clinic, Scottsdale, Arizona, United States of America
| | - Gregory Ahmann
- Research, Mayo Clinic, Scottsdale, Arizona, United States of America
| | - K. Martin Kortuem
- Hematology, Mayo Clinic, Scottsdale, Arizona, United States of America
| | - Nicole J. Boczek
- Mayo Graduate School, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Rafael Fonseca
- Comprehensive Cancer Center, Mayo Clinic, Scottsdale, Arizona, United States of America
- Division of Hematology/Oncology Mayo Clinic, Scottsdale, Arizona, United States of America
| | - David W. Craig
- Neurogenomics Division, Translational Genomics Research Institute, Phoenix, Arizona, United States of America
| | - John D. Carpten
- Integrated Cancer Genomics Division, Translational Genomics Research Institute, Phoenix, Arizona, United States of America
| | - Mitesh J. Borad
- Comprehensive Cancer Center, Mayo Clinic, Scottsdale, Arizona, United States of America
- Division of Hematology/Oncology Mayo Clinic, Scottsdale, Arizona, United States of America
| | - A. Keith Stewart
- Comprehensive Cancer Center, Mayo Clinic, Scottsdale, Arizona, United States of America
- Division of Hematology/Oncology Mayo Clinic, Scottsdale, Arizona, United States of America
- * E-mail:
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11
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Bryce AH, Borad MJ, Condjella RM, Egan JB, Champion MD, Hunt KS, McWilliams RR, McCullough AE, Kurdoglu A, Aldrich J, Izatt T, Nasser S, Christoforides A, Phillips L, Liang WS, Barrett MT, Craig DW, Carpten JD, Stewart AK. A study of real-time CLIA-enabled whole genome tumor sequencing: Results for testicular cancer and sarcomatoid RCC. J Clin Oncol 2014. [DOI: 10.1200/jco.2014.32.4_suppl.463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
463 Background: The genomic assessment of cancer has been revolutionized by next-generation sequencing and is increasingly being applied in the clinic to guide therapeutic decision-making. Time to reporting of results, specimen quantity, and analyte quality have constrained initial clinical applications to gene panels and whole exome based strategies. Methods: Patients underwent surgical resection, excisional or core biopsies, or bone marrow biopsy. Samples were analyzed by whole genome or exome sequencing and RNA sequencing, bioinformatics analysis, and therapeutic target prioritization by a multi-disciplinary Clinical Genomics Board. All prioritized targets were CLIA validated using Sanger sequencing, RT-qPCR, FISH, or IHC as appropriate. Treatment was delivered using off-label FDA approved drugs, clinical trials, or single patient INDs. Results: We have enrolled 40 patients with advanced, treatment-refractory cancers of whom sequencing data is available on 33. The initial 6 patients were evaluated in a non-CLIA pilot phase and 27 in the CLIA enabled phase. Upon availability of the initial report, identified targets of putative therapeutic relevance were then prioritized by the CGB in 22/27 patients (81%) for subsequent CLIA validation. Eleven patients have been treated with genomically selected therapy with partial response in 3/10 assessed patients. A testicular cancer patient had aberrations in two testes specific genes, a copy number gain in TSSK6 and a novel gene fusion between thyroid hormone receptor associated protein 3 (THRAP3) and Tektin 2 (TEKT2). Additionally, a case of papillary renal cell carcinoma had an amplification of YAP1 and a previously unreported P287T mutation in CCND1, suggesting potential benefit with a CDK4/6 inhibitor. Treatment is ongoing and results will be reported. Conclusions: Integrated whole genome analysis in a CLIA setting is feasible. Integration of SNV, copy number and transcriptional data may allow for selection of putative driver genes to enhance targeted therapy decisions. Barriers for future broader implementation include the need for reduced time from biopsy to report and availability of therapies.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Ahmet Kurdoglu
- The Translational Genomics Research Institute, Phoenix, AZ
| | | | - Tyler Izatt
- The Translational Genomics Research Institute, Phoenix, AZ
| | - Sara Nasser
- The Translational Genomics Research Institute, Phoenix, AZ
| | | | - Lori Phillips
- The Translational Genomics Research Institute, Phoenix, AZ
| | | | | | - David W. Craig
- The Translational Genomics Research Institute, Phoenix, AZ
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12
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Schuster SR, Kortuem KM, Zhu YX, Braggio E, Shi CX, Bruins LA, Schmidt JE, Ahmann G, Kumar S, Rajkumar SV, Mikhael J, Laplant B, Champion MD, Laumann K, Barlogie B, Fonseca R, Bergsagel PL, Lacy M, Stewart AK. The clinical significance of cereblon expression in multiple myeloma. Leuk Res 2013; 38:23-8. [PMID: 24129344 DOI: 10.1016/j.leukres.2013.08.015] [Citation(s) in RCA: 66] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2013] [Revised: 08/15/2013] [Accepted: 08/24/2013] [Indexed: 12/25/2022]
Abstract
Cereblon (CRBN) mediates immunomodulatory drug (IMiD) action in multiple myeloma (MM). We demonstrate here that no patient with very low CRBN expression responded to IMiD plus dexamethasone therapy. In 53 refractory MM patients treated with pomalidomide and dexamethasone, CRBN levels predict for decreased response rates and significant differences in PFS (3.0 vs. 8.9 months, p<0.001) and OS (9.1 vs. 27.2 months, p=0.01) (lowest quartile vs. highest three quartiles). While higher CRBN levels can serve as a surrogate for low risk disease, our study demonstrates that low CRBN expression can predict resistance to IMiD monotherapy and is a predictive biomarker for survival outcomes.
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Affiliation(s)
- Steven R Schuster
- Cancer Care and Hematology, University of Colorado Health, Fort Collins, CO, USA.
| | - K Martin Kortuem
- Division of Hematology, Mayo Clinic in Arizona, Scottsdale, AZ, USA
| | - Yuan Xiao Zhu
- Division of Hematology, Mayo Clinic in Arizona, Scottsdale, AZ, USA
| | - Esteban Braggio
- Division of Hematology, Mayo Clinic in Arizona, Scottsdale, AZ, USA
| | - Chang-Xin Shi
- Division of Hematology, Mayo Clinic in Arizona, Scottsdale, AZ, USA
| | - Laura A Bruins
- Division of Hematology, Mayo Clinic in Arizona, Scottsdale, AZ, USA
| | | | - Greg Ahmann
- Division of Hematology, Mayo Clinic in Arizona, Scottsdale, AZ, USA
| | - Shaji Kumar
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | | | - Joseph Mikhael
- Division of Hematology, Mayo Clinic in Arizona, Scottsdale, AZ, USA
| | - Betsy Laplant
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA
| | - Mia D Champion
- Division of Hematology, Mayo Clinic in Arizona, Scottsdale, AZ, USA
| | - Kristina Laumann
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA
| | - Bart Barlogie
- Department of Hematology, University of Arkansas, Little Rock, AR, USA
| | - Rafael Fonseca
- Division of Hematology, Mayo Clinic in Arizona, Scottsdale, AZ, USA
| | - P Leif Bergsagel
- Division of Hematology, Mayo Clinic in Arizona, Scottsdale, AZ, USA
| | - Martha Lacy
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | - A Keith Stewart
- Division of Hematology, Mayo Clinic in Arizona, Scottsdale, AZ, USA
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13
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Pearson T, Hornstra HM, Sahl JW, Schaack S, Schupp JM, Beckstrom-Sternberg SM, O'Neill MW, Priestley RA, Champion MD, Beckstrom-Sternberg JS, Kersh GJ, Samuel JE, Massung RF, Keim P. When outgroups fail; phylogenomics of rooting the emerging pathogen, Coxiella burnetii. Syst Biol 2013; 62:752-62. [PMID: 23736103 PMCID: PMC3739886 DOI: 10.1093/sysbio/syt038] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2012] [Revised: 02/19/2013] [Accepted: 05/28/2013] [Indexed: 11/20/2022] Open
Abstract
Rooting phylogenies is critical for understanding evolution, yet the importance, intricacies and difficulties of rooting are often overlooked. For rooting, polymorphic characters among the group of interest (ingroup) must be compared to those of a relative (outgroup) that diverged before the last common ancestor (LCA) of the ingroup. Problems arise if an outgroup does not exist, is unknown, or is so distant that few characters are shared, in which case duplicated genes originating before the LCA can be used as proxy outgroups to root diverse phylogenies. Here, we describe a genome-wide expansion of this technique that can be used to solve problems at the other end of the evolutionary scale: where ingroup individuals are all very closely related to each other, but the next closest relative is very distant. We used shared orthologous single nucleotide polymorphisms (SNPs) from 10 whole genome sequences of Coxiella burnetii, the causative agent of Q fever in humans, to create a robust, but unrooted phylogeny. To maximize the number of characters informative about the rooting, we searched entire genomes for polymorphic duplicated regions where orthologs of each paralog could be identified so that the paralogs could be used to root the tree. Recent radiations, such as those of emerging pathogens, often pose rooting challenges due to a lack of ingroup variation and large genomic differences with known outgroups. Using a phylogenomic approach, we created a robust, rooted phylogeny for C. burnetii. [Coxiella burnetii; paralog SNPs; pathogen evolution; phylogeny; recent radiation; root; rooting using duplicated genes.].
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Affiliation(s)
- Talima Pearson
- Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, AZ, USA
| | - Heidie M. Hornstra
- Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, AZ, USA
| | - Jason W. Sahl
- Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, AZ, USA
- Department of Biology, Reed College, Portland, OR, USA
| | - Sarah Schaack
- Pathogen Genomics Division, Translational Genomics Research Institute, Flagstaff, AZ, USA
| | | | - Stephen M. Beckstrom-Sternberg
- Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, AZ, USA
- Department of Biology, Reed College, Portland, OR, USA
| | - Matthew W. O'Neill
- Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, AZ, USA
| | - Rachael A. Priestley
- Rickettsial Zoonoses Branch, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Mia D. Champion
- Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, AZ, USA
- Department of Biology, Reed College, Portland, OR, USA
| | | | - Gilbert J. Kersh
- Rickettsial Zoonoses Branch, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - James E. Samuel
- Department of Microbial and Molecular Pathogenesis, Texas A&M Health Science Center, College Station, TX, USA
| | - Robert F. Massung
- Rickettsial Zoonoses Branch, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Paul Keim
- Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, AZ, USA
- Department of Biology, Reed College, Portland, OR, USA
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14
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Champion MD, Gray V, Eberhard C, Kumar S. The evolutionary history of amino acid variations mediating increased resistance of S. aureus identifies reversion mutations in metabolic regulators. PLoS One 2013; 8:e56466. [PMID: 23424663 PMCID: PMC3570469 DOI: 10.1371/journal.pone.0056466] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2012] [Accepted: 01/09/2013] [Indexed: 01/11/2023] Open
Abstract
The evolution of resistance in Staphylococcus aureus occurs rapidly, and in response to all known antimicrobial treatments. Numerous studies of model species describe compensatory roles of mutations in mediating competitive fitness, and there is growing evidence that these mutation types also drive adaptation of S. aureus strains. However, few studies have tracked amino acid changes during the complete evolutionary trajectory of antibiotic adaptation or been able to predict their functional relevance. Here, we have assessed the efficacy of computational methods to predict biological resistance of a collection of clinically known Resistance Associated Mutations (RAMs). We have found that >90% of known RAMs are incorrectly predicted to be functionally neutral by at least one of the prediction methods used. By tracing the evolutionary histories of all of the false negative RAMs, we have discovered that a significant number are reversion mutations to ancestral alleles also carried in the MSSA476 methicillin-sensitive isolate. These genetic reversions are most prevalent in strains following daptomycin treatment and show a tendency to accumulate in biological pathway reactions that are distinct from those accumulating non-reversion mutations. Our studies therefore show that in addition to non-reversion mutations, reversion mutations arise in isolates exposed to new antibiotic treatments. It is possible that acquisition of reversion mutations in the genome may prevent substantial fitness costs during the progression of resistance. Our findings pose an interesting question to be addressed by further clinical studies regarding whether or not these reversion mutations lead to a renewed vulnerability of a vancomycin or daptomycin resistant strain to antibiotics administered at an earlier stage of infection.
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Affiliation(s)
- Mia D Champion
- Center for Evolutionary Medicine & Informatics, Biodesign Institute, Arizona State University, Arizona, United States of America.
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15
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Desjardins CA, Champion MD, Holder JW, Muszewska A, Goldberg J, Bailão AM, Brigido MM, Ferreira MEDS, Garcia AM, Grynberg M, Gujja S, Heiman DI, Henn MR, Kodira CD, León-Narváez H, Longo LVG, Ma LJ, Malavazi I, Matsuo AL, Morais FV, Pereira M, Rodríguez-Brito S, Sakthikumar S, Salem-Izacc SM, Sykes SM, Teixeira MM, Vallejo MC, Walter MEMT, Yandava C, Young S, Zeng Q, Zucker J, Felipe MS, Goldman GH, Haas BJ, McEwen JG, Nino-Vega G, Puccia R, San-Blas G, Soares CMDA, Birren BW, Cuomo CA. Comparative genomic analysis of human fungal pathogens causing paracoccidioidomycosis. PLoS Genet 2011; 7:e1002345. [PMID: 22046142 PMCID: PMC3203195 DOI: 10.1371/journal.pgen.1002345] [Citation(s) in RCA: 136] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2011] [Accepted: 08/30/2011] [Indexed: 12/29/2022] Open
Abstract
Paracoccidioides is a fungal pathogen and the cause of paracoccidioidomycosis, a health-threatening human systemic mycosis endemic to Latin America. Infection by Paracoccidioides, a dimorphic fungus in the order Onygenales, is coupled with a thermally regulated transition from a soil-dwelling filamentous form to a yeast-like pathogenic form. To better understand the genetic basis of growth and pathogenicity in Paracoccidioides, we sequenced the genomes of two strains of Paracoccidioides brasiliensis (Pb03 and Pb18) and one strain of Paracoccidioides lutzii (Pb01). These genomes range in size from 29.1 Mb to 32.9 Mb and encode 7,610 to 8,130 genes. To enable genetic studies, we mapped 94% of the P. brasiliensis Pb18 assembly onto five chromosomes. We characterized gene family content across Onygenales and related fungi, and within Paracoccidioides we found expansions of the fungal-specific kinase family FunK1. Additionally, the Onygenales have lost many genes involved in carbohydrate metabolism and fewer genes involved in protein metabolism, resulting in a higher ratio of proteases to carbohydrate active enzymes in the Onygenales than their relatives. To determine if gene content correlated with growth on different substrates, we screened the non-pathogenic onygenale Uncinocarpus reesii, which has orthologs for 91% of Paracoccidioides metabolic genes, for growth on 190 carbon sources. U. reesii showed growth on a limited range of carbohydrates, primarily basic plant sugars and cell wall components; this suggests that Onygenales, including dimorphic fungi, can degrade cellulosic plant material in the soil. In addition, U. reesii grew on gelatin and a wide range of dipeptides and amino acids, indicating a preference for proteinaceous growth substrates over carbohydrates, which may enable these fungi to also degrade animal biomass. These capabilities for degrading plant and animal substrates suggest a duality in lifestyle that could enable pathogenic species of Onygenales to transfer from soil to animal hosts.
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Affiliation(s)
| | - Mia D. Champion
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
| | - Jason W. Holder
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
- Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
| | - Anna Muszewska
- Institute of Biochemistry and Biophysics, Polish Academy of Sciences, Warszawa, Poland
| | - Jonathan Goldberg
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
| | - Alexandre M. Bailão
- Laboratório de Biologia Molecular, Instituto de Ciências Biológicas, Universidade Federal de Goiás, Goiânia, Brazil
| | | | | | - Ana Maria Garcia
- Unidad de Biología Celular y Molecular, Corporación para Investigaciones Biológicas, Medellín, Colombia
| | - Marcin Grynberg
- Institute of Biochemistry and Biophysics, Polish Academy of Sciences, Warszawa, Poland
| | - Sharvari Gujja
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
| | - David I. Heiman
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
| | - Matthew R. Henn
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
| | - Chinnappa D. Kodira
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
| | - Henry León-Narváez
- Centro de Microbiología y Biología Celular, Instituto Venezolano de Investigaciones Científicas, Caracas, Venezuela
| | - Larissa V. G. Longo
- Departamento de Microbiologia, Imunologia, e Parasitologia, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Li-Jun Ma
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
| | - Iran Malavazi
- Faculdade de Ciências Farmacêuticas de Ribeirão Preto Universidade de São Paulo, Ribeirão Preto, Brazil
| | - Alisson L. Matsuo
- Departamento de Microbiologia, Imunologia, e Parasitologia, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Flavia V. Morais
- Departamento de Microbiologia, Imunologia, e Parasitologia, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
- Instituto de Pesquisa y Desenvolvimento, Universidade do Vale do Paraíba, São José dos Campos, Brazil
| | - Maristela Pereira
- Laboratório de Biologia Molecular, Instituto de Ciências Biológicas, Universidade Federal de Goiás, Goiânia, Brazil
| | - Sabrina Rodríguez-Brito
- Centro de Microbiología y Biología Celular, Instituto Venezolano de Investigaciones Científicas, Caracas, Venezuela
| | - Sharadha Sakthikumar
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
| | - Silvia M. Salem-Izacc
- Laboratório de Biologia Molecular, Instituto de Ciências Biológicas, Universidade Federal de Goiás, Goiânia, Brazil
| | - Sean M. Sykes
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
| | | | - Milene C. Vallejo
- Departamento de Microbiologia, Imunologia, e Parasitologia, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
| | | | - Chandri Yandava
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
| | - Sarah Young
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
| | - Qiandong Zeng
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
| | - Jeremy Zucker
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
| | - Maria Sueli Felipe
- Instituto de Ciências Biológicas, Universidade de Brasília, Brasília, Brazil
| | - Gustavo H. Goldman
- Faculdade de Ciências Farmacêuticas de Ribeirão Preto Universidade de São Paulo, Ribeirão Preto, Brazil
- Laboratório Nacional de Ciência e Tecnologia do Bioetanol – CTBE, São Paulo, Brazil
| | - Brian J. Haas
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
| | - Juan G. McEwen
- Unidad de Biología Celular y Molecular, Corporación para Investigaciones Biológicas, Medellín, Colombia
- Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Gustavo Nino-Vega
- Centro de Microbiología y Biología Celular, Instituto Venezolano de Investigaciones Científicas, Caracas, Venezuela
| | - Rosana Puccia
- Departamento de Microbiologia, Imunologia, e Parasitologia, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, Brazil
| | - Gioconda San-Blas
- Centro de Microbiología y Biología Celular, Instituto Venezolano de Investigaciones Científicas, Caracas, Venezuela
| | | | - Bruce W. Birren
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
| | - Christina A. Cuomo
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
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Chanturia G, Birdsell DN, Kekelidze M, Zhgenti E, Babuadze G, Tsertsvadze N, Tsanava S, Imnadze P, Beckstrom-Sternberg SM, Beckstrom-Sternberg JS, Champion MD, Sinari S, Gyuranecz M, Farlow J, Pettus AH, Kaufman EL, Busch JD, Pearson T, Foster JT, Vogler AJ, Wagner DM, Keim P. Phylogeography of Francisella tularensis subspecies holarctica from the country of Georgia. BMC Microbiol 2011; 11:139. [PMID: 21682874 PMCID: PMC3224097 DOI: 10.1186/1471-2180-11-139] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2011] [Accepted: 06/17/2011] [Indexed: 11/10/2022] Open
Abstract
Background Francisella tularensis, the causative agent of tularemia, displays subspecies-specific differences in virulence, geographic distribution, and genetic diversity. F. tularensis subsp. holarctica is widely distributed throughout the Northern Hemisphere. In Europe, F. tularensis subsp. holarctica isolates have largely been assigned to two phylogenetic groups that have specific geographic distributions. Most isolates from Western Europe are assigned to the B.Br.FTNF002-00 group, whereas most isolates from Eastern Europe are assigned to numerous lineages within the B.Br.013 group. The eastern geographic extent of the B.Br.013 group is currently unknown due to a lack of phylogenetic knowledge about populations at the European/Asian juncture and in Asia. In this study, we address this knowledge gap by describing the phylogenetic structure of F. tularensis subsp. holarctica isolates from the country of Georgia, and by placing these isolates into a global phylogeographic context. Results We identified a new genetic lineage of F. tularensis subsp. holarctica from Georgia that belongs to the B.Br.013 group. This new lineage is genetically and geographically distinct from lineages previously described from the B.Br.013 group from Central-Eastern Europe. Importantly, this new lineage is basal within the B.Br.013 group, indicating the Georgian lineage diverged before the diversification of the other known B.Br.013 lineages. Although two isolates from the Georgian lineage were collected nearby in the Ukrainian region of Crimea, all other global isolates assigned to this lineage were collected in Georgia. This restricted geographic distribution, as well as the high levels of genetic diversity within the lineage, is consistent with a relatively older origin and localized differentiation. Conclusions We identified a new lineage of F. tularensis subsp. holarctica from Georgia that appears to have an older origin than any other diversified lineages previously described from the B.Br.013 group. This finding suggests that additional phylogenetic studies of F. tularensis subsp. holarctica populations in Eastern Europe and Asia have the potential to yield important new insights into the evolutionary history and phylogeography of this broadly dispersed F. tularensis subspecies.
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Affiliation(s)
- Gvantsa Chanturia
- Center for Microbial Genetics and Genomics, Northern Arizona University, Flagstaff, AZ 86011-4073, USA
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Champion MD. Host-pathogen o-methyltransferase similarity and its specific presence in highly virulent strains of Francisella tularensis suggests molecular mimicry. PLoS One 2011; 6:e20295. [PMID: 21637805 PMCID: PMC3102702 DOI: 10.1371/journal.pone.0020295] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2011] [Accepted: 04/28/2011] [Indexed: 12/28/2022] Open
Abstract
Whole genome comparative studies of many bacterial pathogens have shown an overall high similarity of gene content (>95%) between phylogenetically distinct subspecies. In highly clonal species that share the bulk of their genomes subtle changes in gene content and small-scale polymorphisms, especially those that may alter gene expression and protein-protein interactions, are more likely to have a significant effect on the pathogen's biology. In order to better understand molecular attributes that may mediate the adaptation of virulence in infectious bacteria, a comparative study was done to further analyze the evolution of a gene encoding an o-methyltransferase that was previously identified as a candidate virulence factor due to its conservation specifically in highly pathogenic Francisella tularensis subsp. tularensis strains. The o-methyltransferase gene is located in the genomic neighborhood of a known pathogenicity island and predicted site of rearrangement. Distinct o-methyltransferase subtypes are present in different Francisella tularensis subspecies. Related protein families were identified in several host species as well as species of pathogenic bacteria that are otherwise very distant phylogenetically from Francisella, including species of Mycobacterium. A conserved sequence motif profile is present in the mammalian host and pathogen protein sequences, and sites of non-synonymous variation conserved in Francisella subspecies specific o-methyltransferases map proximally to the predicted active site of the orthologous human protein structure. Altogether, evidence suggests a role of the F. t. subsp. tularensis protein in a mechanism of molecular mimicry, similar perhaps to Legionella and Coxiella. These findings therefore provide insights into the evolution of niche-restriction and virulence in Francisella, and have broader implications regarding the molecular mechanisms that mediate host-pathogen relationships.
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Affiliation(s)
- Mia D Champion
- Division of Pathogen Genomics, Translational Genomics Research Institute, Arizona, United States of America.
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Champion MD, Zeng Q, Nix EB, Nano FE, Keim P, Kodira CD, Borowsky M, Young S, Koehrsen M, Engels R, Pearson M, Howarth C, Larson L, White J, Alvarado L, Forsman M, Bearden SW, Sjöstedt A, Titball R, Michell SL, Birren B, Galagan J. Comparative genomic characterization of Francisella tularensis strains belonging to low and high virulence subspecies. PLoS Pathog 2009; 5:e1000459. [PMID: 19478886 PMCID: PMC2682660 DOI: 10.1371/journal.ppat.1000459] [Citation(s) in RCA: 102] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2008] [Accepted: 04/29/2009] [Indexed: 01/15/2023] Open
Abstract
Tularemia is a geographically widespread, severely debilitating, and occasionally lethal disease in humans. It is caused by infection by a gram-negative bacterium, Francisella tularensis. In order to better understand its potency as an etiological agent as well as its potential as a biological weapon, we have completed draft assemblies and report the first complete genomic characterization of five strains belonging to the following different Francisella subspecies (subsp.): the F. tularensis subsp. tularensis FSC033, F. tularensis subsp. holarctica FSC257 and FSC022, and F. tularensis subsp. novicida GA99-3548 and GA99-3549 strains. Here, we report the sequencing of these strains and comparative genomic analysis with recently available public Francisella sequences, including the rare F. tularensis subsp. mediasiatica FSC147 strain isolate from the Central Asian Region. We report evidence for the occurrence of large-scale rearrangement events in strains of the holarctica subspecies, supporting previous proposals that further phylogenetic subdivisions of the Type B clade are likely. We also find a significant enrichment of disrupted or absent ORFs proximal to predicted breakpoints in the FSC022 strain, including a genetic component of the Type I restriction-modification defense system. Many of the pseudogenes identified are also disrupted in the closely related rarely human pathogenic F. tularensis subsp. mediasiatica FSC147 strain, including modulator of drug activity B (mdaB) (FTT0961), which encodes a known NADPH quinone reductase involved in oxidative stress resistance. We have also identified genes exhibiting sequence similarity to effectors of the Type III (T3SS) and components of the Type IV secretion systems (T4SS). One of the genes, msrA2 (FTT1797c), is disrupted in F. tularensis subsp. mediasiatica and has recently been shown to mediate bacterial pathogen survival in host organisms. Our findings suggest that in addition to the duplication of the Francisella Pathogenicity Island, and acquisition of individual loci, adaptation by gene loss in the more recently emerged tularensis, holarctica, and mediasiatica subspecies occurred and was distinct from evolutionary events that differentiated these subspecies, and the novicida subspecies, from a common ancestor. Our findings are applicable to future studies focused on variations in Francisella subspecies pathogenesis, and of broader interest to studies of genomic pathoadaptation in bacteria. Tularemia is a zoonotic disease that is widely disseminated throughout the Northern Hemisphere and is caused by different strain types of bacteria belonging to the genus Francisella. In general, Francisella tularensis subspecies are able to infect a wide range of mammals including humans and are often transmitted via insect vectors such as ticks. Depending on the strain and route of infection the disease may be fatal in humans. In order to better understand F. tularensis as an etiological agent as well as its potential as a biological weapon, we have completed draft sequence assemblies of five globally diverse strains. We have performed a comparative analysis of these sequences with other available public Francisella sequences of strains of differing virulence. Our analysis suggests that genome rearrangements and gene loss in specific Francisella subspecies may underlie the evolution of niche adaptation and virulence of this pathogen.
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Affiliation(s)
- Mia D Champion
- Microbial Analysis Group, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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Abstract
Meiosis reduces the number of chromosomes carried by a diploid organism by half, partitioning precisely one haploid genome into each gamete. The basic events of meiosis reflect three meiosis-specific processes: first, pairing and synapsis of homologous chromosomes; second, high-frequency, precisely controlled, reciprocal crossover; third, the regulation of sister-chromatid cohesion (SCC), such that during anaphase I, SCC is released along the chromosome arms, but not at the centromeres. The failure of any of these processes can result in aneuploidy or a failure of meiotic segregation.
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Affiliation(s)
- Mia D Champion
- Stowers Institute for Medical Research, 1000 East 50th Street, Kansas City, MO 64110, USA
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