1
|
Cai SF, Huang Y, Lance JR, Mao HC, Dunbar AJ, McNulty SN, Druley T, Li Y, Baer MR, Stock W, Kovacsovics T, Blum WG, Schiller GJ, Olin RL, Foran JM, Litzow M, Lin T, Patel P, Foster MC, Boyiadzis M, Collins RH, Chervin J, Shoben A, Vergilio JA, Heerema NA, Rosenberg L, Chen TL, Yocum AO, Druggan F, Marcus S, Stefanos M, Druker BJ, Mims AS, Borate U, Burd A, Byrd JC, Levine RL, Stein EM. A study to assess the efficacy of enasidenib and risk-adapted addition of azacitidine in newly diagnosed IDH2-mutant AML. Blood Adv 2024; 8:429-440. [PMID: 37871309 PMCID: PMC10827405 DOI: 10.1182/bloodadvances.2023010563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 08/23/2023] [Accepted: 08/23/2023] [Indexed: 10/25/2023] Open
Abstract
ABSTRACT Enasidenib (ENA) is an inhibitor of isocitrate dehydrogenase 2 (IDH2) approved for the treatment of patients with IDH2-mutant relapsed/refractory acute myeloid leukemia (AML). In this phase 2/1b Beat AML substudy, we applied a risk-adapted approach to assess the efficacy of ENA monotherapy for patients aged ≥60 years with newly diagnosed IDH2-mutant AML in whom genomic profiling demonstrated that mutant IDH2 was in the dominant leukemic clone. Patients for whom ENA monotherapy did not induce a complete remission (CR) or CR with incomplete blood count recovery (CRi) enrolled in a phase 1b cohort with the addition of azacitidine. The phase 2 portion assessing the overall response to ENA alone demonstrated efficacy, with a composite complete response (cCR) rate (CR/CRi) of 46% in 60 evaluable patients. Seventeen patients subsequently transitioned to phase 1b combination therapy, with a cCR rate of 41% and 1 dose-limiting toxicity. Correlative studies highlight mechanisms of clonal elimination with differentiation therapy as well as therapeutic resistance. This study demonstrates both efficacy of ENA monotherapy in the upfront setting and feasibility and applicability of a risk-adapted approach to the upfront treatment of IDH2-mutant AML. This trial is registered at www.clinicaltrials.gov as #NCT03013998.
Collapse
Affiliation(s)
- Sheng F. Cai
- Division of Hematologic Malignancies, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Ying Huang
- Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Jennie R. Lance
- Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Hsiaoyin Charlene Mao
- Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Andrew J. Dunbar
- Division of Hematologic Malignancies, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | | | | | - Yan Li
- Bristol Myers Squibb, New York, NY
| | - Maria R. Baer
- University of Maryland Greenebaum Comprehensive Cancer Center, Baltimore, MD
| | - Wendy Stock
- Department of Hematology and Oncology, University of Chicago Medical Center, Chicago, IL
| | | | - William G. Blum
- Department of Hematology and Medical Oncology, Emory University, Atlanta, GA
| | - Gary J. Schiller
- David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA
| | - Rebecca L. Olin
- Helen Diller Family Comprehensive Cancer Center, San Francisco, CA
| | | | - Mark Litzow
- Department of Hematology, Mayo Clinic, Rochester, MN
| | - Tara Lin
- Division of Hematologic Malignancies and Cellular Therapeutics, University of Kansas, Kansas City, KS
| | - Prapti Patel
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX
| | | | - Michael Boyiadzis
- Division of Hematolog/Oncology, Department of Medicine, University of Pittsburgh Cancer Institute, Pittsburgh, PA
| | - Robert H. Collins
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX
| | - Jordan Chervin
- Division of Hematologic Malignancies, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Abigail Shoben
- Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | | | - Nyla A. Heerema
- Division of Hematologic Malignancies, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | | | - Timothy L. Chen
- Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | | | - Franchesca Druggan
- Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | | | - Mona Stefanos
- Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | | | - Alice S. Mims
- Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Uma Borate
- Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, Columbus, OH
| | - Amy Burd
- Leukemia and Lymphoma Society, Rye Brook, NY
| | - John C. Byrd
- Department of Internal Medicine, University of Cincinnati, Cincinnati, OH
| | - Ross L. Levine
- Division of Hematologic Malignancies, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Eytan M. Stein
- Division of Hematologic Malignancies, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| |
Collapse
|
2
|
Frankell AM, Abbosh C, Garnett A, Kisistok J, Harrison T, Weichert M, Licon A, Veeriah S, Daber B, Moreau M, Shahpurwalla A, Odell A, Chesh A, Litchfield K, Lim E, Cook DE, Puttick C, Al-Bakir M, Gomes F, Patel A, Manzano L, Roberts P, Huebner A, Carey N, Riley J, Druley T, Shaw JA, McGranahan N, Jamal-Hanjani M, Stahl J, Birkbak N, Swanton C. Abstract 2144: Holistic sampling of clonal dynamics using cfDNA in lung TRACERx. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-2144] [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: Minimal residual disease (MRD) detection using liquid biopsy has the potential to improve patient outcomes in non-small cell lung cancer (NSCLC). Liquid biopsy may also provide representative clonal sampling through the disease course, but current clonal deconvolution methods are ineffective in plasma samples with <1% tumor content, common in the localised or MRD setting.
Methods: We analysed 1071 plasma samples from 198 TNM I-III NSCLC patients in TRACERx who underwent multiregion exome sequencing of primary tumor and relapse tissue, with 416 standard of care surveillance scans. Seventy-four patients suffered a relapse. We targeted a median of 200 tumor-specific mutations per patient consisting of clonal and subclonal variants and sequenced cell-free DNA (cfDNA) using anchored multiplex PCR to a median unique depth of 2230X with 5 supporting duplicates. We used library-specific trinucleotide background models to call MRD. We developed ECLIPSE (Extraction of CLonality from LIquid bioPSiEs), to perform formal clonal deconvolution in <1% purity plasma samples by leveraging copy number and mutation clone identities from tumor tissue.
Results: Median MRD lead time was 119 days (range 0-1137) in patients with pre-operative circulating tumor DNA (ctDNA) detection. In the 13% of relapse patients lacking pre-operative ctDNA detection the median MRD lead time was 0 days (range 0-589). MRD lead times positively correlated with clonal ctDNA fraction doubling times (DTs). Cancer cell fractions (CCFs) of subclones estimated in plasma with ECLIPSE and tissue collected concurrently were proportional (P < 0.001, R2 = 0.6). Subclonal mutations that would appear clonal in single biopsies could be separated from true clonal mutations using their CCF in plasma (P < 0.001, OR = 0.44), distinguishing clonal from subclonal mutations, where the latter are unlikely to represent effective therapeutic targets. Where cfDNA and tissue was available at relapse we detected 28/29 metastatic tissue subclones in cfDNA with an additional 8 cfDNA-unique subclones. These subclones were more frequently estimated as present in only a subset of metastatic cells using cfDNA (P = 0.008, OR = 5.5) consistent with localisation to unsampled metastatic sites. Metastatic competent subclones had higher CCFs in pre-operative plasma (P < 0.001, OR = 4.5). Shifts in clonal dynamics were concurrent with treatment. Finally, patients with cfDNA-detected polyphyletic metastatic seeding had shorter disease-free survival than those with monophyletic seeding (HR = 2.89, 95% CIs 1.46-5.73).
Conclusions: Tumor-informed anchored multiplex PCR most commonly detected MRD before clinical relapse and allowed determination of clonal ctDNA DT. Using ECLIPSE, plasma samples of <1% purity allow formal measurements of clonal dynamics from diagnosis to relapse, which impacts patient outcome and has the potential to guide personalised medicine.
Citation Format: Alexander Mark Frankell, Christopher Abbosh, Aaron Garnett, Judit Kisistok, Thomas Harrison, Morgan Weichert, Abel Licon, Selvaraju Veeriah, Bob Daber, Mike Moreau, Aamir Shahpurwalla, Aaron Odell, Adrian Chesh, Kevin Litchfield, Emilia Lim, Daniel E. Cook, Clare Puttick, Maise Al-Bakir, Fabio Gomes, Akshay Patel, Lizi Manzano, Paula Roberts, Ariana Huebner, Nicolas Carey, Joan Riley, Todd Druley, Jacqui A. Shaw, Nicholas McGranahan, Mariam Jamal-Hanjani, Josh Stahl, Nicolai Birkbak, the Lung TRACERx consortium, Charles Swanton. Holistic sampling of clonal dynamics using cfDNA in lung TRACERx [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2144.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | - Emilia Lim
- 1Francis Crick Institute, London, United Kingdom
| | | | | | | | - Fabio Gomes
- 5The Christie NHS Foundation Trust, London, United Kingdom
| | - Akshay Patel
- 6University of Birmingham, Birmingham, United Kingdom
| | - Lizi Manzano
- 4University College London, London, United Kingdom
| | | | | | | | - Joan Riley
- 7University of Leicester, Leicester, United Kingdom
| | | | | | | | | | | | | | | | | |
Collapse
|
3
|
Walsh K, Raghavachari N, Kerr C, Bick AG, Cummings SR, Druley T, Dunbar CE, Genovese G, Goodell MA, Jaiswal S, Maciejewski J, Natarajan P, Shindyapina AV, Shuldiner AR, Van Den Akker EB, Vijg J. Clonal Hematopoiesis Analyses in Clinical, Epidemiologic, and Genetic Aging Studies to Unravel Underlying Mechanisms of Age-Related Dysfunction in Humans. Front Aging 2022; 3:841796. [PMID: 35821803 PMCID: PMC9261374 DOI: 10.3389/fragi.2022.841796] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 02/07/2022] [Indexed: 11/13/2022]
Abstract
Aging is characterized by increased mortality, functional decline, and exponential increases in the incidence of diseases such as cancer, stroke, cardiovascular disease, neurological disease, respiratory disease, etc. Though the role of aging in these diseases is widely accepted and considered to be a common denominator, the underlying mechanisms are largely unknown. A significant age-related feature observed in many population cohorts is somatic mosaicism, the detectable accumulation of somatic mutations in multiple cell types and tissues, particularly those with high rates of cell turnover (e.g., skin, liver, and hematopoietic cells). Somatic mosaicism can lead to the development of cellular clones that expand with age in otherwise normal tissues. In the hematopoietic system, this phenomenon has generally been referred to as "clonal hematopoiesis of indeterminate potential" (CHIP) when it applies to a subset of clones in which mutations in driver genes of hematologic malignancies are found. Other mechanisms of clonal hematopoiesis, including large chromosomal alterations, can also give rise to clonal expansion in the absence of conventional CHIP driver gene mutations. Both types of clonal hematopoiesis (CH) have been observed in studies of animal models and humans in association with altered immune responses, increased mortality, and disease risk. Studies in murine models have found that some of these clonal events are involved in abnormal inflammatory and metabolic changes, altered DNA damage repair and epigenetic changes. Studies in long-lived individuals also show the accumulation of somatic mutations, yet at this advanced age, carriership of somatic mutations is no longer associated with an increased risk of mortality. While it remains to be elucidated what factors modify this genotype-phenotype association, i.e., compensatory germline genetics, cellular context of the mutations, protective effects to diseases at exceptional age, it points out that the exceptionally long-lived are key to understand the phenotypic consequences of CHIP mutations. Assessment of the clinical significance of somatic mutations occurring in blood cell types for age-related outcomes in human populations of varied life and health span, environmental exposures, and germline genetic risk factors will be valuable in the development of personalized strategies tailored to specific somatic mutations for healthy aging.
Collapse
Affiliation(s)
- Kenneth Walsh
- University of Virginia, Charlottesville, VA, United States
| | - Nalini Raghavachari
- National Institute on Aging, NIH, Bethesda, MD, United States,*Correspondence: Nalini Raghavachari,
| | - Candace Kerr
- National Institute on Aging, NIH, Bethesda, MD, United States
| | | | - Steven R. Cummings
- University of California, San Francisco, San Francisco, CA, United States
| | - Todd Druley
- Angle Biosciences, St. Louis, MO, United States
| | - Cynthia E. Dunbar
- National Heart, Lung and Blood Institute, NIH, Bethesda, MD, United States
| | | | | | | | | | | | | | | | | | - Jan Vijg
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands
| |
Collapse
|
4
|
Erez N, Israitel L, Bitman-Lotan E, Wong WH, Raz G, Cornelio-Parra DV, Danial S, Flint Brodsly N, Belova E, Maksimenko O, Georgiev P, Druley T, Mohan RD, Orian A. A Non-stop identity complex (NIC) supervises enterocyte identity and protects from premature aging. eLife 2021; 10:62312. [PMID: 33629655 PMCID: PMC7936876 DOI: 10.7554/elife.62312] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Accepted: 02/17/2021] [Indexed: 02/06/2023] Open
Abstract
A hallmark of aging is loss of differentiated cell identity. Aged Drosophila midgut differentiated enterocytes (ECs) lose their identity, impairing tissue homeostasis. To discover identity regulators, we performed an RNAi screen targeting ubiquitin-related genes in ECs. Seventeen genes were identified, including the deubiquitinase Non-stop (CG4166). Lineage tracing established that acute loss of Non-stop in young ECs phenocopies aged ECs at cellular and tissue levels. Proteomic analysis unveiled that Non-stop maintains identity as part of a Non-stop identity complex (NIC) containing E(y)2, Sgf11, Cp190, (Mod) mdg4, and Nup98. Non-stop ensured chromatin accessibility, maintaining the EC-gene signature, and protected NIC subunit stability. Upon aging, the levels of Non-stop and NIC subunits declined, distorting the unique organization of the EC nucleus. Maintaining youthful levels of Non-stop in wildtype aged ECs safeguards NIC subunits, nuclear organization, and suppressed aging phenotypes. Thus, Non-stop and NIC, supervise EC identity and protects from premature aging.
Collapse
Affiliation(s)
- Neta Erez
- Rappaport Research Institute and Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Lena Israitel
- Rappaport Research Institute and Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Eliya Bitman-Lotan
- Rappaport Research Institute and Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Wing H Wong
- Division of Pediatric Hematology and Oncology, Washington University, Saint-Louis, United States
| | - Gal Raz
- Rappaport Research Institute and Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Dayanne V Cornelio-Parra
- Department of Genetics, Developmental & Evolutionary Biology, School of Biological and Chemical Sciences University of Missouri, Kansas City, United States
| | - Salwa Danial
- Rappaport Research Institute and Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Na'ama Flint Brodsly
- Rappaport Research Institute and Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Elena Belova
- Department of the Control of Genetic Processes, Institute of Gene Biology Russian Academy of Sciences, Moscow, Russian Federation
| | - Oksana Maksimenko
- Department of the Control of Genetic Processes, Institute of Gene Biology Russian Academy of Sciences, Moscow, Russian Federation
| | - Pavel Georgiev
- Department of the Control of Genetic Processes, Institute of Gene Biology Russian Academy of Sciences, Moscow, Russian Federation
| | - Todd Druley
- Division of Pediatric Hematology and Oncology, Washington University, Saint-Louis, United States
| | - Ryan D Mohan
- Department of Genetics, Developmental & Evolutionary Biology, School of Biological and Chemical Sciences University of Missouri, Kansas City, United States
| | - Amir Orian
- Rappaport Research Institute and Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| |
Collapse
|
5
|
Bolton KL, Ptashkin RN, Gao T, Braunstein L, Devlin SM, Kelly D, Patel M, Berthon A, Syed A, Yabe M, Coombs CC, Caltabellotta NM, Walsh M, Offit K, Stadler Z, Mandelker D, Schulman J, Patel A, Philip J, Bernard E, Gundem G, Ossa JEA, Levine M, Martinez JSM, Farnoud N, Glodzik D, Li S, Robson ME, Lee C, Pharoah PDP, Stopsack KH, Spitzer B, Mantha S, Fagin J, Boucai L, Gibson CJ, Ebert BL, Young AL, Druley T, Takahashi K, Gillis N, Ball M, Padron E, Hyman DM, Baselga J, Norton L, Gardos S, Klimek VM, Scher H, Bajorin D, Paraiso E, Benayed R, Arcila ME, Ladanyi M, Solit DB, Berger MF, Tallman M, Garcia-Closas M, Chatterjee N, Diaz LA, Levine RL, Morton LM, Zehir A, Papaemmanuil E. Cancer therapy shapes the fitness landscape of clonal hematopoiesis. Nat Genet 2020; 52:1219-1226. [PMID: 33106634 PMCID: PMC7891089 DOI: 10.1038/s41588-020-00710-0] [Citation(s) in RCA: 312] [Impact Index Per Article: 78.0] [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: 04/05/2020] [Accepted: 09/02/2020] [Indexed: 01/30/2023]
Abstract
Acquired mutations are pervasive across normal tissues. However, understanding of the processes that drive transformation of certain clones to cancer is limited. Here we study this phenomenon in the context of clonal hematopoiesis (CH) and the development of therapy-related myeloid neoplasms (tMNs). We find that mutations are selected differentially based on exposures. Mutations in ASXL1 are enriched in current or former smokers, whereas cancer therapy with radiation, platinum and topoisomerase II inhibitors preferentially selects for mutations in DNA damage response genes (TP53, PPM1D, CHEK2). Sequential sampling provides definitive evidence that DNA damage response clones outcompete other clones when exposed to certain therapies. Among cases in which CH was previously detected, the CH mutation was present at tMN diagnosis. We identify the molecular characteristics of CH that increase risk of tMN. The increasing implementation of clinical sequencing at diagnosis provides an opportunity to identify patients at risk of tMN for prevention strategies.
Collapse
MESH Headings
- Adolescent
- Adult
- Aged
- Aged, 80 and over
- Antineoplastic Agents/pharmacology
- Cell Transformation, Neoplastic/drug effects
- Cell Transformation, Neoplastic/genetics
- Cell Transformation, Neoplastic/radiation effects
- Child
- Child, Preschool
- Clonal Evolution
- Clonal Hematopoiesis/drug effects
- Clonal Hematopoiesis/genetics
- Cohort Studies
- Female
- Genetic Fitness
- Humans
- Infant
- Infant, Newborn
- Leukemia, Myeloid/genetics
- Male
- Middle Aged
- Models, Biological
- Mutation
- Neoplasms/drug therapy
- Neoplasms/radiotherapy
- Neoplasms, Second Primary/genetics
- Selection, Genetic
- Young Adult
Collapse
Affiliation(s)
- Kelly L Bolton
- Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ryan N Ptashkin
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Teng Gao
- Computational Oncology Service, Department of Epidemiology & Biostatistics, Center for Computational Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Lior Braunstein
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sean M Devlin
- Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Daniel Kelly
- Department of Information Systems, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Minal Patel
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Antonin Berthon
- Computational Oncology Service, Department of Epidemiology & Biostatistics, Center for Computational Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Aijazuddin Syed
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mariko Yabe
- Department of Pathology, Hematopathology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Catherine C Coombs
- Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Nicole M Caltabellotta
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mike Walsh
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kenneth Offit
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Zsofia Stadler
- Department of Medicine, Clinical Genetics Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Diana Mandelker
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jessica Schulman
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Akshar Patel
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - John Philip
- Department of Health Informatics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Elsa Bernard
- Computational Oncology Service, Department of Epidemiology & Biostatistics, Center for Computational Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Gunes Gundem
- Computational Oncology Service, Department of Epidemiology & Biostatistics, Center for Computational Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Juan E Arango Ossa
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Max Levine
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Noushin Farnoud
- Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Dominik Glodzik
- Computational Oncology Service, Department of Epidemiology & Biostatistics, Center for Computational Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Sonya Li
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mark E Robson
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Choonsik Lee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Paul D P Pharoah
- Department of Oncology, University of Cambridge, Addenbrooke's Hospital, Cambridge, UK
- Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge, UK
| | - Konrad H Stopsack
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Barbara Spitzer
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Simon Mantha
- Department of Medicine, Hematology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - James Fagin
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Laura Boucai
- Department of Medicine, Endocrinology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Benjamin L Ebert
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Andrew L Young
- Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Todd Druley
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA
| | - Koichi Takahashi
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Nancy Gillis
- Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
- Department of Malignant Hematology, Moffitt Cancer Center, Tampa, FL, USA
| | - Markus Ball
- Department of Malignant Hematology, Moffitt Cancer Center, Tampa, FL, USA
- Institute of Pathology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Eric Padron
- Department of Malignant Hematology, Moffitt Cancer Center, Tampa, FL, USA
| | - David M Hyman
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - Jose Baselga
- Research & Development, AstraZeneca, Milton, Cambridge, UK
| | - Larry Norton
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - Stuart Gardos
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - Virginia M Klimek
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - Howard Scher
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - Dean Bajorin
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Weill Cornell Medical College, New York, NY, USA
| | - Eder Paraiso
- Department of Medicine, Endocrinology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Center for Strategy & Innovation, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ryma Benayed
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Maria E Arcila
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Marc Ladanyi
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - David B Solit
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Endocrinology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Michael F Berger
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Endocrinology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Marie-Josée and Henry R. Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Martin Tallman
- Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Montserrat Garcia-Closas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Nilanjan Chatterjee
- Department of Biostatistics, Bloomberg School of Public Health Department of Oncology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Luis A Diaz
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Program in Precision Interception and Prevention, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Solid Tumor Division, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ross L Levine
- Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ahmet Zehir
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Elli Papaemmanuil
- Computational Oncology Service, Department of Epidemiology & Biostatistics, Center for Computational Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| |
Collapse
|
6
|
Rajan V, Melong N, Wong WH, King B, Tong RS, Mahajan N, Gaston D, Lund T, Rittenberg D, Dellaire G, Campbell CJ, Druley T, Berman JN. Humanized zebrafish enhance human hematopoietic stem cell survival and promote acute myeloid leukemia clonal diversity. Haematologica 2020; 105:2391-2399. [PMID: 33054079 PMCID: PMC7556680 DOI: 10.3324/haematol.2019.223040] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [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: 03/27/2019] [Accepted: 12/05/2019] [Indexed: 11/25/2022] Open
Abstract
Xenograft models are invaluable tools in establishing the current paradigms of hematopoiesis and leukemogenesis. The zebrafish has emerged as a robust alternative xenograft model but, like mice, lack specific cytokines that mimic the microenvironment found in human patients. To address this critical gap, we generated the first humanized zebrafish that express human hematopoietic-specific cytokines (GM-CSF, SCF, and SDF1α). Termed GSS fish, these zebrafish promote survival, self-renewal and multilineage differentiation of human hematopoietic stem and progenitor cells and result in enhanced proliferation and hematopoietic niche-specific homing of primary human leukemia cells. Using error-corrected RNA sequencing, we determined that patient-derived leukemias transplanted into GSS zebrafish exhibit broader clonal representation compared to transplants into control hosts. GSS zebrafish incorporating error-corrected RNA sequencing establish a new standard for zebrafish xenotransplantation that more accurately recapitulates the human context, providing a more representative cost-effective preclinical model system for evaluating personalized response-based treatment in leukemia and therapies to expand human hematopoietic stem and progenitor cells in the transplant setting.
Collapse
Affiliation(s)
- Vinothkumar Rajan
- Department of Microbiology and Immunology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Nicole Melong
- Department of Pediatrics, University of Ottawa, Ottawa, Ontario, Canada
| | - Wing Hing Wong
- Department of Pediatrics, Division of Hematology-Oncology, Washington University, St. Louis, MO, USA
| | - Benjamin King
- Department of Ocean Sciences, Memorial University, St. John’s, Newfoundland and Labrador, Canada
| | - R. Spencer Tong
- MRC Weatherall Institute of Molecular Medicine, University of Oxford, John Radcliffe Hospital, Oxford, UK
| | - Nitin Mahajan
- Department of Pediatrics, Division of Hematology-Oncology, Washington University, St. Louis, MO, USA
| | - Daniel Gaston
- Department of Pathology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Troy Lund
- Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
| | - David Rittenberg
- Department of Obstetrics and Gynecology, IWK Health Science Center, Halifax, Nova Scotia, Canada
| | - Graham Dellaire
- Departments of Pathology and Biochemistry & Molecular Biology, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Clinton J.V. Campbell
- Stem Cell and Cancer Research Institute, McMaster University, Hamilton, Ontario, Canada and
| | - Todd Druley
- Department of Pediatrics, Division of Hematology-Oncology, Washington University, St. Louis, MO, USA
| | - Jason N. Berman
- Department of Microbiology and Immunology, Dalhousie University, Halifax, Nova Scotia, Canada
- Department of Pediatrics, University of Ottawa, Ottawa, Ontario, Canada
- CHEO Research Institute, Ottawa, Ontario, Canada
| |
Collapse
|
7
|
Abbosh C, Frankell A, Garnett A, Harrison T, Weichert M, Licon A, Veeriah S, Daber B, Moreau M, Chesh A, Litchfield K, Lim E, Cooke D, Puttick C, Al Bakir M, Gomes F, Patel A, Manzano L, Huebner A, Carey N, Riley J, Roberts P, Druley T, Shaw JA, McGranahan N, Jamal-Hanjani M, Birkbak N, Stahl J, Swanton C. Abstract CT023: Phylogenetic tracking and minimal residual disease detection using ctDNA in early-stage NSCLC: A lung TRACERx study. Cancer Res 2020. [DOI: 10.1158/1538-7445.am2020-ct023] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [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
Introduction Minimal residual disease (MRD) detection in solid tumors describes isolation of circulating tumor DNA (ctDNA) molecules in plasma following definitive treatment of a cancer. Detection of MRD following surgical tumor excision categorizes patients as high risk for disease recurrence. Establishing an MRD approach to treating early-stage NSCLC will facilitate escalation of standard of care (SoC) treatment only in patients destined to relapse from their cancer and overcome challenges associated with conventional adjuvant drug-trial design. Here, we present data from the lung TRACERx study where patients with early-stage NSCLC underwent phylogenetic ctDNA profiling following resection. Methods Patient specific anchored-multiplex PCR (AMP) enrichment panels were generated for 78 lung TRACERx patients who underwent surgery for stage I-III NSCLC; 608 plasma samples were analyzed. Extensive patient-specific cfDNA enrichment panels targeted a median of 196 (range 72 to 482) clonal and subclonal variants detected in primary tumor tissue by multi-region exome sequencing. A novel MRD-caller controlled and estimated background sequencing error to maximize ctDNA detection at low mutant allele frequencies (MAFs). Analytical validation experiments benchmarked assay performance. Results Analytical validation of a 50-variant AMP-MRD assay demonstrated a sensitivity of 89% for mutant DNA at a MAF of 0.008% (with 25ng of DNA input into the assay), specificity was 100% experimentally and 99.9% (95% CI: 99.67 to 99.99%) modelled in-silico. 45 patients suffered relapse of their primary NSCLC; ctDNA was detected at or before clinical relapse in 37 of 45 patients. In these 37 patients the median ctDNA lead-time (time from ctDNA detection to clinical relapse) was 151 days (range 0 to 984 days) and the median time to relapse from surgery was 413 days (range 41 to 1242 days). In 10 of 10 patients who developed second primary cancers during follow-up no ctDNA was detected, reflecting specificity of the MRD assay toward the primary tumor. In 23 patients who remained relapse-free during a median of 1184 days of study follow-up, ctDNA was detected in 1 of 199 time-points analyzed. Analysis of SoC adjuvant surveillance imaging (CT, PET-CT or MRI, 220 encounters) revealed examples of MRD positive patients where SoC radiological surveillance was negative for impending relapse. Through application of large cfDNA enrichment panels targeting up to 483 variants per patient we observed dynamic changes in clonal composition and copy-number status prior to NSCLC relapse, categorized relapse as monoclonal or polyclonal and identified distinct subclonal dynamics during systemic intervention for disease recurrence. Conclusions ctDNA is an adjuvant biomarker capable of both detecting MRD following surgery and defining the clonality of relapsing disease. These data pave the way for clinical trials predicated on escalation of adjuvant standard of care in NSCLC patients who exhibit MRD positive status following surgery.
Citation Format: Chris Abbosh, Alexander Frankell, Aaron Garnett, Thomas Harrison, Morgan Weichert, Abel Licon, Selvaraju Veeriah, Bob Daber, Mike Moreau, Adrian Chesh, Kevin Litchfield, Emilia Lim, Daniel Cooke, Clare Puttick, Maise Al Bakir, Fabio Gomes, Akshay Patel, Lizi Manzano, Ariana Huebner, Nicolas Carey, Joan Riley, Paula Roberts, Todd Druley, Jacqui A. Shaw, Nicholas McGranahan, Mariam Jamal-Hanjani, Nicolai Birkbak, Josh Stahl, Charles Swanton, Lung TRACERx consortium. Phylogenetic tracking and minimal residual disease detection using ctDNA in early-stage NSCLC: A lung TRACERx study [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr CT023.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - Emilia Lim
- 2Francis Crick Institute, London, United Kingdom
| | - Daniel Cooke
- 2Francis Crick Institute, London, United Kingdom
| | | | | | - Fabio Gomes
- 5The Christie NHS Foundation Trust, Manchester, United Kingdom
| | - Akshay Patel
- 6University of Birmingham, Birmingham, United Kingdom
| | | | | | | | - Joan Riley
- 7University of Leicester, Leicester, United Kingdom
| | | | | | | | | | | | | | | | | | | |
Collapse
|
8
|
Bolton KL, Ptashkin RN, Gao T, Braunstein L, Devlin SM, Patel M, Berthon A, Syed A, Yabe M, Coombs C, Caltabellotta NM, Walsh M, Offit K, Stadler Z, Lee C, Pharoah P, Stopsack KH, Spitzer B, Mantha S, Fagin J, Boucai L, Gibson CJ, Ebert B, Young AL, Druley T, Takahashi K, Gillis N, Ball M, Padron E, Hyman D, Baselga J, Norton L, Gardos S, Klimek V, Scher H, Bajorin D, Paraiso E, Benayed R, Arcilla M, Ladanyi M, Solit D, Berger M, Tallman M, Garcia-Closas M, Chatterjee N, Diaz L, Levine R, Morton L, Zehir A, Papaemmanuil E. Abstract 5703: Oncologic therapy shapes the fitness landscape of clonal hematopoiesis. Cancer Res 2020. [DOI: 10.1158/1538-7445.am2020-5703] [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
Recent studies among healthy individuals show evidence of somatic mutations in leukemia-associated genes, referred to as clonal hematopoiesis (CH). To determine the relationship between CH and oncologic therapy we collected sequential blood samples from 525 cancer patients (median sampling interval time = 23 months, range: 6-53 months) of whom 61% received cytotoxic therapy or external beam radiation therapy and 39% received either targeted/immunotherapy or were untreated. Samples were sequenced using deep targeted capture-based platforms. To determine whether CH mutational features were associated with tMN risk, we performed Cox proportional hazards regression on 9,549 cancer patients exposed to oncologic therapy of whom 75 cases developed tMN (median time to transformation=26 months). To further compare the genetic and clonal relationships between tMN and the proceeding CH, we analyzed 35 cases for which paired samples were available. We compared the growth rate of the variant allele fraction (VAF) of CH clones across treatment modalities and in untreated patients. A significant increase in the growth rate of CH mutations was seen in DDR genes among those receiving cytotoxic (p=0.03) or radiation therapy (p=0.02) during the follow-up period compared to patients who did not receive therapy. Similar growth rates among treated and untreated patients were seen for non-DDR CH genes such as DNMT3A. Increasing cumulative exposure to cytotoxic therapy (p=0.01) and external beam radiation therapy (2x10-8) resulted in higher growth rates for DDR CH mutations. Among 34 subjects with at least two CH mutations in which one mutation was in a DDR gene and one in a non-DDR gene, we studied competing clonal dynamics for multiple gene mutations within the same patient. The risk of tMN was positively associated with CH in a known myeloid neoplasm driver mutation (HR=6.9, p<10-6), and increased with the total number of mutations and clone size. The strongest associations were observed for mutations in TP53 and for CH with mutations in spliceosome genes (SRSF2, U2AF1 and SF3B1). Lower hemoglobin, lower platelet counts, lower neutrophil counts, higher red cell distribution width and higher mean corpuscular volume were all positively associated with increased tMN risk. Among 35 cases for which paired samples were available, in 19 patients (59%), we found evidence of at least one of these mutations at the time of pre-tMN sequencing and in 13 (41%), we identified two or more in the pre-tMN sample. In all cases the dominant clone at tMN transformation was defined by a mutation seen at CH Our serial sampling data provide clear evidence that oncologic therapy strongly selects for clones with mutations in the DDR genes and that these clones have limited competitive fitness, in the absence of cytotoxic or radiation therapy. We further validate the relevance of CH as a predictor and precursor of tMN in cancer patients. We show that CH mutations detected prior to tMN diagnosis were consistently part of the dominant clone at tMN diagnosis and demonstrate that oncologic therapy directly promotes clones with mutations in genes associated with chemo-resistant disease such as TP53.
Citation Format: Kelly L. Bolton, Ryan N. Ptashkin, Teng Gao, Lior Braunstein, Sean M. Devlin, Minal Patel, Antonin Berthon, Aijazuddin Syed, Mariko Yabe, Catherine Coombs, Nicole M. Caltabellotta, Mike Walsh, Ken Offit, Zsofia Stadler, Choonsik Lee, Paul Pharoah, Konrad H. Stopsack, Barbara Spitzer, Simon Mantha, James Fagin, Laura Boucai, Christopher J. Gibson, Benjamin Ebert, Andrew L. Young, Todd Druley, Koichi Takahashi, Nancy Gillis, Markus Ball, Eric Padron, David Hyman, Jose Baselga, Larry Norton, Stuart Gardos, Virginia Klimek, Howard Scher, Dean Bajorin, Eder Paraiso, Ryma Benayed, Maria Arcilla, Marc Ladanyi, David Solit, Michael Berger, Martin Tallman, Montserrat Garcia-Closas, Nilanjan Chatterjee, Luis Diaz, Ross Levine, Lindsay Morton, Ahmet Zehir, Elli Papaemmanuil. Oncologic therapy shapes the fitness landscape of clonal hematopoiesis [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 5703.
Collapse
Affiliation(s)
| | | | - Teng Gao
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | | | | | - Minal Patel
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | | | | | - Mariko Yabe
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | | | | | - Mike Walsh
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | - Ken Offit
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | | | - Choonsik Lee
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | - Paul Pharoah
- 3University of Cambridge, Cambridge, United Kingdom
| | | | | | - Simon Mantha
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | - James Fagin
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | - Laura Boucai
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | | | | | | | | | | | | | | | | | - David Hyman
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jose Baselga
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | - Larry Norton
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | - Stuart Gardos
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | | | - Howard Scher
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | - Dean Bajorin
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | - Eder Paraiso
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | - Ryma Benayed
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | - Maria Arcilla
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | - Marc Ladanyi
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | - David Solit
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | | | | | | | | | - Luis Diaz
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | - Ross Levine
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | | | - Ahmet Zehir
- 1Memorial Sloan Kettering Cancer Center, New York, NY
| | | |
Collapse
|
9
|
Carlson P, Wojczynski MK, Druley T, Lee JH, Zmuda JM, Thyagarajan B. Prevalence of clinically actionable disease variants in exceptionally long-lived families. BMC Med Genomics 2020; 13:61. [PMID: 32272925 PMCID: PMC7146901 DOI: 10.1186/s12920-020-0710-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Accepted: 03/27/2020] [Indexed: 12/15/2022] Open
Abstract
Background Phenotypic expression of pathogenic variants in individuals with no family history of inherited disorders remains unclear. Methods We evaluated the prevalence of pathogenic variants in 25 genes associated with Mendelian-inherited disorders in 3015 participants from 485 families in the Long Life Family Study (LLFS). Boot-strapping and Fisher’s exact test were used to determine whether allele frequencies in LLFS were significantly different from the allele frequencies reported in publicly available genomic databases. Results The proportions of pathogenic autosomal dominant mutation carriers in BRCA1 and SDHC in LLFS study participants were similar to those reported in publicly available genomic databases (0.03% vs. 0.0008%, p = 1 for BRCA1, and 0.08% vs. 0.003%, p = 0.05 for SDHC). The frequency of carriers of pathogenic autosomal recessive variants in CPT2, ACADM, SUMF1, WRN, ATM, and ACADVL were also similar in LLFS as compared to those reported in genomic databases. The lack of clinical disease among LLFS participants with well-established pathogenic variants in BRCA1 and SDHC suggests that penetrance of pathogenic variants may be different in long lived families. Conclusion Further research is needed to better understand the penetrance of pathogenic variants before expanding large scale genomic testing to asymptomatic individuals.
Collapse
Affiliation(s)
- Paige Carlson
- University of Minnesota Medical School, Duluth, MN, USA
| | - Mary K Wojczynski
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - Todd Druley
- Center for Genome Sciences and Systems Biology, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8116, St. Louis, MO, 63108, USA.,Department of Pediatrics, Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8116, St. Louis, MO, 63108, USA
| | - Joseph H Lee
- Sergievsky Center, College of Physicians and Surgeons, Columbia University New York, New York, NY, USA.,Taub Institute, College of Physicians and Surgeons, Columbia University New York, New York, NY, USA.,Departments of Epidemiology and Neurology, Columbia University New York, New York, NY, USA
| | - Joseph M Zmuda
- Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, USA
| | - Bharat Thyagarajan
- Department of Laboratory Medicine and Pathology, University of Minnesota, MMC 609, 420 Delaware street, Minneapolis, MN, 55455, USA.
| |
Collapse
|
10
|
Camet ML, Hayashi SS, Druley T, Henry J, Gettinger K, Stacy A, Hayashi RJ. Scope of hearing loss in Beckwith–Wiedemann syndrome and hemihypertrophy. Am J Med Genet A 2019; 179:2307-2310. [DOI: 10.1002/ajmg.a.61308] [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] [Received: 10/31/2018] [Revised: 05/09/2019] [Accepted: 07/03/2019] [Indexed: 11/10/2022]
Affiliation(s)
- Miranda L. Camet
- Washington University in Saint Louis School of Medicine St. Louis Missouri
| | | | - Todd Druley
- Washington University in Saint Louis School of Medicine St. Louis Missouri
| | - Jennifer Henry
- Washington University in Saint Louis School of Medicine St. Louis Missouri
| | - Katie Gettinger
- Washington University in Saint Louis School of Medicine St. Louis Missouri
| | - Andrea Stacy
- Washington University in Saint Louis School of Medicine St. Louis Missouri
| | - Robert J. Hayashi
- Washington University in Saint Louis School of Medicine St. Louis Missouri
| |
Collapse
|
11
|
Wong WH, Young A, Druley T. Abstract LB-052: Detection of rare, deleterious clonal mutations during unrelated allogeneic hematopoietic stem cell transplants using an error correction pipeline for NGS. Cancer Res 2019. [DOI: 10.1158/1538-7445.am2019-lb-052] [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
While next-generation sequencing (NGS) has transformed our ability to characterize the genome, it is limited in detection of rare mutations due to a high error rate of ~0.5-2.0%. We have developed an error correction pipeline and previously demonstrated that our process is capable of detecting variants as rare as 1:10,000 or 0.0001 VAF. Using our error correction pipeline, we have recently identified leukemia-related hematopoietic clones in a cohort of young healthy bone marrow donors (median age 26). In the context of allogeneic hematopoietic stem cell transplantation (HSCT), we sought to determine whether these detected leukemia-related clones of donor origin selectively engraft and correlate with transplant-related morbidities in recipients post-HSCT. Genomic profiles of pre-transplant donor samples were compared to the genomic profiles of corresponding recipient samples post-HSCT. Results show that two-thirds of the healthy donor samples harbor deleterious hematopoietic clones and that these specific clones are significantly more likely to engraft compared to benign clones. We also found that 75% of recipients who had at least one persistently engrafted, deleterious mutation developed chronic GvHD versus 50% of those without persistently engrafted clones with deleterious mutations. In comparing the results from our error correction pipeline and conventional short tandem repeat (STR) testing for donor-patient chimerism, we showed that our method provides a highly sensitive approach to both screening for donors without deleterious clones and monitoring residual disease in recipients following hematopoietic stem cell transplants (HSCT). Furthermore, the clinical implications of these results warrant a large-scale study using our error correction pipeline to detect rare variants in HSCT.
Citation Format: Wing Hing Wong, Andrew Young, Todd Druley. Detection of rare, deleterious clonal mutations during unrelated allogeneic hematopoietic stem cell transplants using an error correction pipeline for NGS [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr LB-052.
Collapse
Affiliation(s)
| | - Andrew Young
- Washington University in St. Louis, Saint Louis, MO
| | - Todd Druley
- Washington University in St. Louis, Saint Louis, MO
| |
Collapse
|
12
|
Gopalakrisnapillai A, Crowgey E, Ruhl D, Hamill D, Mahajan N, Druley T, Kolb EA, Barwe SP. Abstract LB-322: Identification of a novel fusion protein SPTAN1-ABL1 in a child with T-cell acute lymphoblastic leukemia: Functional characterization and therapeutic implications. Cancer Res 2019. [DOI: 10.1158/1538-7445.am2019-lb-322] [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
Precursor T-cell acute lymphoblastic leukemia (T-ALL) is a genetically heterogenous hematologic malignancy resulting from accumulation of molecular lesions in a multistep process. Although survival rates have improved considerably, event free survival for patients with T-ALL are generally inferior compared to B-cell ALL. Genetic alterations are important determinants of responsiveness to therapy and serve as targets for molecularly tailored therapies. More than 75 chimeric fusion genes have been reported in T-ALL, the majority of which encode factors involved in transcriptional regulation, while only a smaller percentage codes for tyrosine kinases. We report a case of relapsed T-ALL, despite low risk stratification at the time of diagnosis, harboring a novel fusion protein SPTAN1-ABL1. Primary bone marrow specimen collected at diagnosis was transplanted in NSG-B2m mice and propagated as a patient-derived xenograft (PDX) line. For transcriptomic characterization, RNA isolated from primary and PDX samples was subjected to error-corrected targeted next-generation sequencing using ArcherDX FusionPlex HemeV2 kit. Bioinformatics analysis identified the novel SPTAN1-ABL1 gene fusion in which exon 2 of SPTAN1 was fused with exon 4 of ABL1. This fusion was confirmed by Sanger sequencing. Translation of the fusion product sequence showed in-frame fusion leading to the generation of a chimeric protein containing N-terminal SPTAN1 and C-terminal ABL1 with intact kinase domain. SPTAN1 encodes non-erythryocytic-1-spectrin-alpha protein, an actin-binding protein, with N-terminal domain possessing oligomerization activity. Because oligomerization of ABL1 promotes its kinase activity, it is possible that SPTAN1-ABL1 possesses constitutive kinase activity. The full-length SPTAN1-ABL1 fusion protein was cloned in a mammalian expression vector and expressed in BaF3 cells. SPTAN1-ABL1 fusion was detected at similar allelic frequencies in primary and PDX samples indicating the concordance between the two. Furthermore, treatment of engrafted mice with dasatinib (Qd10, 5 mg/Kg, p.o.) significantly prolonged survival compared to untreated mice (n=5 each, P<0.005). Taken together, these data suggest the possibility that the presence of SPTAN1-ABL1 fusion gene may confer a higher risk disease thereby leading to early recurrence, similar to the treatment failures observed in B-ALL patients later found to harbor BCR-ABL1 fusion gene. This study also indicates a potential therapeutic role for tyrosine kinase inhibitors in the treatment of T-ALL patients with ABL1 fusion.
Citation Format: Anilkumar Gopalakrisnapillai, Erin Crowgey, Demetria Ruhl, Darcy Hamill, Nitin Mahajan, Todd Druley, E. Anders Kolb, Sonali P. Barwe. Identification of a novel fusion protein SPTAN1-ABL1 in a child with T-cell acute lymphoblastic leukemia: Functional characterization and therapeutic implications [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr LB-322.
Collapse
Affiliation(s)
| | - Erin Crowgey
- 1Nemours/A. I. duPont Hospital for Children, Wilmington, DE
| | - Demetria Ruhl
- 1Nemours/A. I. duPont Hospital for Children, Wilmington, DE
| | - Darcy Hamill
- 1Nemours/A. I. duPont Hospital for Children, Wilmington, DE
| | | | | | - E. Anders Kolb
- 1Nemours/A. I. duPont Hospital for Children, Wilmington, DE
| | | |
Collapse
|
13
|
Barwe SP, Gopalakrishnapillai A, Mahajan N, Druley T, Kolb EA, Crowgey EL. Abstract 2076: Identification of novel fusion genes and expression variants in primary and patient-derived xenograft samples of pediatric leukemia using error-corrected RNA sequencing. Cancer Res 2018. [DOI: 10.1158/1538-7445.am2018-2076] [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
Introduction
Chromosomal rearrangements generating gene fusions are more common in pediatric malignancies compared to adults, and possess diagnostic, prognostic and therapeutic value. Traditionally chromosomal rearrangements including structural variants (SVs) are identified using karyotyping and fluorescence in situ hybridization (FISH); however, these methods are not sensitive for small rearrangements and single nucleotide variants (SNVs). The need to detect these cryptic SV and SNVs in pediatric cancers demands the development of assays to analyze complex RNA molecules.
Methods
Primary bone marrow samples obtained from Nemours Biobank were used for RNA isolation. Targeted error-corrected RNA sequencing using ArcherDX HemeV2 kit was conducted on 30 primary pediatric leukemia samples and their corresponding mouse passaged xenograft samples. RNA data (fastq) was analyzed via a custom cloud environment leveraging ArcherDx Version 5.1.3 software. The gene fusion data produced by the Archer panel was initially correlated with diagnostic FISH data available for each primary sample.
Results
Ten out of 30 primary bone marrow samples possessed gene fusions detected by routinely tested FISH probes for diagnostic purposes, and including ETV6-RUNX1, BCR-ABL1, TCF3-PBX1, and KMT2A. In addition, this approach detected cryptic gene fusions in 10 samples that were negative for chromosomal rearrangements via FISH, including SPTAN1-ABL1, RUNX1-MKL1, NUP98-NSD1, P2RY8-CRLF2 and TCF3-HLF. The remaining 10 samples, which did not possess detectable gene fusions, showed abnormal exon usage and domain duplications for several, key oncogenes along with novel mutations.
A comparison of the primary sample and mouse passaged xenograft sample revealed that majority of gene fusions representing the abundant clone remained consistent between the primary and xenograft sample in secondary and tertiary passages. Certain gene fusions representing minor clones appeared and disappeared in xenograft samples and subsequent passages in mice in comparison to the primary patient sample, highlighting the heterogeneity of the disease. Thus, the presence of major driver mutations at similar allelic frequencies in xenografts compared to primary samples and over multiple passages confirms the utility of xenograft models for preclinical drug testing.
Discussion
Using a novel approach that utilizes targeted error-corrected sequencing, all the aberrations detected by clinical diagnostic testing were verified, plus several novel fusion events were identified with high confidence. This method also validated the concordance between primary and xenograft samples. Characterization of these novel cryptic fusions and exonal variants in leukemogenesis will enable identification of new drug targets and prognostic factors for pediatric leukemia.
Citation Format: Sonali P. Barwe, Anilkumar Gopalakrishnapillai, Nitin Mahajan, Todd Druley, E. Anders Kolb, Erin L. Crowgey. Identification of novel fusion genes and expression variants in primary and patient-derived xenograft samples of pediatric leukemia using error-corrected RNA sequencing [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 2076.
Collapse
Affiliation(s)
| | | | | | | | - E. Anders Kolb
- 1Nemours/A. I. duPont Hospital for Children, Wilmington, DE
| | | |
Collapse
|
14
|
Kalish JM, Biesecker LG, Brioude F, Deardorff MA, Di Cesare-Merlone A, Druley T, Ferrero GB, Lapunzina P, Larizza L, Maas S, Macchiaiolo M, Maher ER, Maitz S, Martinez-Agosto JA, Mussa A, Robinson P, Russo S, Selicorni A, Hennekam RC. Cover Image, Volume 173A, Number 7, July 2017. Am J Med Genet A 2017. [DOI: 10.1002/ajmg.a.38334] [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: 11/11/2022]
Affiliation(s)
- Jennifer M. Kalish
- Division of Human Genetics; Children's Hospital of Philadelphia, and Department of Pediatrics; Perelman School of Medicine; University of Pennsylvania; Philadelphia Pennsylvania
| | - Leslie G. Biesecker
- Medical Genomics and Metabolic Genetics Branch; National Human Genome Research Institute; National Institutes of Health; Bethesda Maryland
| | | | - Matthew A. Deardorff
- Division of Human Genetics; Children's Hospital of Philadelphia, and Department of Pediatrics; Perelman School of Medicine; University of Pennsylvania; Philadelphia Pennsylvania
| | | | - Todd Druley
- Department of Pediatrics; Center for Genome Sciences and Systems Biology and Department of Genetics; Washington University School of Medicine; St. Louis Missouri
| | - Giovanni B. Ferrero
- Department of Pediatric and Public Health Sciences; University of Torino; Torino Italy
| | - Pablo Lapunzina
- Instituto de Genética Médica y Molecular (INGEMM)-IdiPAZ; Hospital Universitario La Paz-UAM, and CIBERER, ISCIII; Madrid Spain
| | - Lidia Larizza
- Medical Cytogenetics and Molecular Genetics Laboratory; Centro di Ricerche e Tecnologie Biomediche IRCCS; Istituto Auxologico Italiano; Milan Italy
| | - Saskia Maas
- Department of Clinical Genetics; Academic Medical Center; University of Amsterdam; Amsterdam Netherlands
| | | | - Eamonn R. Maher
- Department of Medical Genetics; University of Cambridge, and Cambridge NIHR Biomedical Research Center; Cambridge United Kingdom
| | - Silvia Maitz
- Clinical Pediatric Genetics Unit; Pediatrics Clinics; MBBM Foundation; S. Gerardo Hospital; Monza Italy
| | - Julian A. Martinez-Agosto
- Department of Human Genetics; Division of Medical Genetics; Department of Pediatrics; David Geffen School of Medicine at UCLA; Los Angeles California
| | - Alessandro Mussa
- Department of Pediatric and Public Health Sciences; University of Torino; Torino Italy
| | - Peter Robinson
- The Jackson Laboratory for Genomic Medicine; Farmington Connecticut
| | - Silvia Russo
- Medical Cytogenetics and Molecular Genetics Laboratory; Centro di Ricerche e Tecnologie Biomediche IRCCS; Istituto Auxologico Italiano; Milan Italy
| | | | - Raoul C. Hennekam
- Department of Pediatrics; Academic Medical Center; University of Amsterdam; Amsterdam Netherlands
| |
Collapse
|
15
|
Wong-Siegel JR, Johnson K, Gettinger K, Druley T. Abstract 277: A retrospective analysis of pediatric and adolescent oncology patients and congenital anomalies. Cancer Res 2017. [DOI: 10.1158/1538-7445.am2017-277] [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
Introduction: Congenital anomalies (CAs) are a leading cause of infant death and contribute to long-term disability and repeated hospitalizations. Many epidemiology studies have suggested that children with CAs have an increased cancer risk compared to those without CAs. This retrospective case series further investigates associations between CAs and cancer in a large academic center’s pediatric and adolescent oncology patient population.
Methods: Electronic medical records of 1,435 oncology patients diagnosed from birth to 23 years of age at St. Louis Children’s Hospital from January 1, 2004 - December 31, 2014 were reviewed. CA information was extracted and verified with ICD-9 codes when available. Patients followed for <1 year at SLCH (n=193), and those diagnosed with a chromosomal anomaly or known cancer predisposition syndrome (n=113) were excluded from the analysis. Bivariate analyses compared demographic and other characteristics between patients with and without a CA with significant differences determined by chi-square tests. We calculated age-adjusted standardized rate ratios (SRRs) to evaluate whether the observed number of CAs among specific cancer types (benign, bone, CNS, epithelial, leukemia, lymphoma, germ cell, and soft tissue tumors) varied from the expected number using the CA rates from the entire cohort as the reference. Differences in survival time distributions in cancer cases with CAs versus those without CAs were evaluated with the log-rank test.
Results: Of 1,129 SLCH pediatric cancer patients, 156 (14%) patients were identified with a CA. Overall there was an increased proportion of patients with a CNS tumor who also had a CA compared to those without a CA (p=0.005). Neurological anomalies were specifically found to be in excess in CNS tumor cases versus the overall population of pediatric cancer patients (SRR= 1.42 95% CI 1.02-1.92 p=0.038). There were no significant differences by age at primary tumor diagnosis, but patients with a CNS tumor and CA were diagnosed an average of 1.5 years earlier (7.7 vs. 9.2 years, p=0.075) compared to those without a CA. The rate of CAs did not vary significantly by sex, but a significant excess of males with a neurological anomaly was observed among all patients diagnosed <5 years of age (M/F ratio=2.55 95% CI 1.15-5.56 p=0.02). Finally, survival between those with and without a CA was not significantly different (p=0.24).
Conclusions: This study provides additional insight into the association between specific types of CAs and cancer development. Our results suggest children with neurological anomalies are more likely to develop CNS cancers and may be more likely to develop cancer at an earlier age, particularly in males. Our study supports the need for additional longitudinal surveillance and research that may improve outcomes as well as translational research to investigate any associated developmental mechanisms that may underlie tumor predisposition.
Citation Format: Jeannette R. Wong-Siegel, Kimberly Johnson, Katie Gettinger, Todd Druley. A retrospective analysis of pediatric and adolescent oncology patients and congenital anomalies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 277. doi:10.1158/1538-7445.AM2017-277
Collapse
Affiliation(s)
| | | | | | - Todd Druley
- Washington University in St. Louis, St. Louis, MO
| |
Collapse
|
16
|
Crowgey EL, Mahajan N, Wong WH, Kolb EA, Druley T. Abstract 4878: Sensitive and specific DNA and RNA sequencing techniques for detecting minimal residual disease. Cancer Res 2017. [DOI: 10.1158/1538-7445.am2017-4878] [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
The goal of this study was to assess the clinical applicability of molecular genetic techniques in the study of minimal residual disease (MRD) in pediatric acute myeloid leukemia (AML) via DNA and RNA-based methods. Currently, multi-parametric flow cytometry (MPFC) for surface immunophenotypes is the gold standard for MRD with a limit of detection between 0.001-0.002. However, approximately one-third of children with no detectable MRD by MPFC after first induction still relapse and suffer inferior outcomes. One potential reason is that a majority of refractory or recurrent AML clones will present with altered immunophenotypes compared to diagnostic specimens. In contrast, DNA mutations present at diagnosis will remain in refractory disease and therefore, a gene-based MRD platform surveying many genes could enable targeted, gene-specific therapy.
Recently, the heterogeneous and unique genomic landscape of pediatric AML was characterized in the TARGET project and highlights the potential for leveraging companion molecular screens in the analysis of AML MRD. Contrary to adult AML, pediatric AML is not primarily characterized by single nucleotide variants (SNVs), but rather by complex structural variants (SV) that are difficult to detect using standard next generation sequencing techniques and analysis pipelines. The need to detect these complex SV and SNVs, all of which are at low allelic ratios (AR) at the remission state, demands assays that are capable of analyzing both DNA and RNA molecules at levels of detection comparable to MPFC.
As proof of principal, we leveraged a unique capture technique (ArcherDx; CoreAML) to detect an important SV in pediatric AML, the internal tandem duplication in Fms related tyrosine Kinase (FLT3-ITD). Via a serial dilution of cells with known FLT3-ITD allelic ratio (MV4-11 cells), to determine a limit of detection, we were able to detect the mutation as low as 0.001. Next, we bench-marked the technique using diagnostic and relapse samples, and successfully detected FLT3-ITD at AR <0.01.
To complement the DNA-based approach, we compared two error-corrected (EC) RNA assays (a Druley lab developed protocol and the ArcherDx; HemeV2 panel) to further assay SVs that cause novel gene fusions and aberrant exon usage, which are not detectable via DNA assays. Compared to existing cytogenetic and RNA-seq data, this new platform was capable of detecting known and novel cryptic translocations.
Finally, we integrated the results from the FLT3-ITD assay and the RNA assay with our custom error-corrected sequencing data to create a novel bioinformatics workflow for assessing the biological implications of MRD clones detected. Collectively, our data support that EC sequencing, at both the DNA and RNA level, enable accurate detection of low allelic variants that could be used for improved clinical MRD diagnostics, prognostication and therapeutic selection.
Citation Format: Erin L. Crowgey, Nitin Mahajan, Wing H. Wong, Edward A. Kolb, Todd Druley. Sensitive and specific DNA and RNA sequencing techniques for detecting minimal residual disease [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 4878. doi:10.1158/1538-7445.AM2017-4878
Collapse
Affiliation(s)
- Erin L. Crowgey
- 1Nemours Alfred I. duPont Hospital for Children, Wilmington, DE
| | | | | | - Edward A. Kolb
- 1Nemours Alfred I. duPont Hospital for Children, Wilmington, DE
| | | |
Collapse
|
17
|
Kalish JM, Biesecker LG, Brioude F, Deardorff MA, Di Cesare-Merlone A, Druley T, Ferrero GB, Lapunzina P, Larizza L, Maas S, Macchiaiolo M, Maher ER, Maitz S, Martinez-Agosto JA, Mussa A, Robinson P, Russo S, Selicorni A, Hennekam RC. Nomenclature and definition in asymmetric regional body overgrowth. Am J Med Genet A 2017; 173:1735-1738. [PMID: 28475229 DOI: 10.1002/ajmg.a.38266] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [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: 02/20/2017] [Accepted: 04/03/2017] [Indexed: 12/26/2022]
Abstract
We designate a novel term "isolated lateralized overgrowth" (ILO) for the findings previously described as "isolated hemihypertrophy" and "isolated hemihyperplasia." ILO is defined as lateralized overgrowth in the absence of a recognized pattern of malformations, dysplasia, or morphologic variants. ILO is likely genetically heterogeneous. Further study is required to determine more of the underlying genetic etiologies and potential associations with currently unrecognized patterns of malformation.
Collapse
Affiliation(s)
- Jennifer M Kalish
- Division of Human Genetics, Children's Hospital of Philadelphia, and Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Leslie G Biesecker
- Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland
| | - Frederic Brioude
- UPMC University of Paris 06, Sorbonne Universités, Paris, France
| | - Matthew A Deardorff
- Division of Human Genetics, Children's Hospital of Philadelphia, and Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | | | - Todd Druley
- Department of Pediatrics, Center for Genome Sciences and Systems Biology and Department of Genetics, Washington University School of Medicine, St. Louis, Missouri
| | - Giovanni B Ferrero
- Department of Pediatric and Public Health Sciences, University of Torino, Torino, Italy
| | - Pablo Lapunzina
- Instituto de Genética Médica y Molecular (INGEMM)-IdiPAZ, Hospital Universitario La Paz-UAM, and CIBERER, ISCIII, Madrid, Spain
| | - Lidia Larizza
- Medical Cytogenetics and Molecular Genetics Laboratory, Centro di Ricerche e Tecnologie Biomediche IRCCS, Istituto Auxologico Italiano, Milan, Italy
| | - Saskia Maas
- Department of Clinical Genetics, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands
| | | | - Eamonn R Maher
- Department of Medical Genetics, University of Cambridge, and Cambridge NIHR Biomedical Research Center, Cambridge, United Kingdom
| | - Silvia Maitz
- Clinical Pediatric Genetics Unit, Pediatrics Clinics, MBBM Foundation, S. Gerardo Hospital, Monza, Italy
| | - Julian A Martinez-Agosto
- Department of Human Genetics, Division of Medical Genetics, Department of Pediatrics, David Geffen School of Medicine at UCLA, Los Angeles, California
| | - Alessandro Mussa
- Department of Pediatric and Public Health Sciences, University of Torino, Torino, Italy
| | - Peter Robinson
- The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut
| | - Silvia Russo
- Medical Cytogenetics and Molecular Genetics Laboratory, Centro di Ricerche e Tecnologie Biomediche IRCCS, Istituto Auxologico Italiano, Milan, Italy
| | | | - Raoul C Hennekam
- Department of Pediatrics, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands
| |
Collapse
|
18
|
Wong TN, Ramsingh G, Young AL, Miller CA, Touma W, Welch JS, Lamprecht TL, Shen D, Hundal J, Fulton RS, Heath S, Baty JD, Klco JM, Ding L, Mardis ER, Westervelt P, DiPersio JF, Walter MJ, Graubert TA, Ley TJ, Druley T, Link DC, Wilson RK. Role of TP53 mutations in the origin and evolution of therapy-related acute myeloid leukaemia. Nature 2014; 518:552-555. [PMID: 25487151 PMCID: PMC4403236 DOI: 10.1038/nature13968] [Citation(s) in RCA: 588] [Impact Index Per Article: 58.8] [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: 12/11/2013] [Accepted: 10/13/2014] [Indexed: 12/23/2022]
Abstract
Therapy-related acute myeloid leukaemia (t-AML) and therapy-related myelodysplastic syndrome (t-MDS) are well-recognized complications of cytotoxic chemotherapy and/or radiotherapy. There are several features that distinguish t-AML from de novo AML, including a higher incidence of TP53 mutations, abnormalities of chromosomes 5 or 7, complex cytogenetics and a reduced response to chemotherapy. However, it is not clear how prior exposure to cytotoxic therapy influences leukaemogenesis. In particular, the mechanism by which TP53 mutations are selectively enriched in t-AML/t-MDS is unknown. Here, by sequencing the genomes of 22 patients with t-AML, we show that the total number of somatic single-nucleotide variants and the percentage of chemotherapy-related transversions are similar in t-AML and de novo AML, indicating that previous chemotherapy does not induce genome-wide DNA damage. We identified four cases of t-AML/t-MDS in which the exact TP53 mutation found at diagnosis was also present at low frequencies (0.003-0.7%) in mobilized blood leukocytes or bone marrow 3-6 years before the development of t-AML/t-MDS, including two cases in which the relevant TP53 mutation was detected before any chemotherapy. Moreover, functional TP53 mutations were identified in small populations of peripheral blood cells of healthy chemotherapy-naive elderly individuals. Finally, in mouse bone marrow chimaeras containing both wild-type and Tp53(+/-) haematopoietic stem/progenitor cells (HSPCs), the Tp53(+/-) HSPCs preferentially expanded after exposure to chemotherapy. These data suggest that cytotoxic therapy does not directly induce TP53 mutations. Rather, they support a model in which rare HSPCs carrying age-related TP53 mutations are resistant to chemotherapy and expand preferentially after treatment. The early acquisition of TP53 mutations in the founding HSPC clone probably contributes to the frequent cytogenetic abnormalities and poor responses to chemotherapy that are typical of patients with t-AML/t-MDS.
Collapse
Affiliation(s)
- Terrence N Wong
- Department of Medicine, Division of Oncology, Washington University, St. Louis, MO
| | - Giridharan Ramsingh
- Department of Medicine, Jane Anne Nohl Division of Hematology, University of Southern California, Los Angeles, CA
| | - Andrew L Young
- Department of Pediatrics, Division of Hematology/Oncology, Washington University in St. Louis, St. Louis, MO
| | | | - Waseem Touma
- Department of Medicine, Division of Oncology, Washington University, St. Louis, MO
| | - John S Welch
- Department of Medicine, Division of Oncology, Washington University, St. Louis, MO.,Siteman Cancer Center, Washington University, St. Louis, MO
| | - Tamara L Lamprecht
- Department of Medicine, Division of Oncology, Washington University, St. Louis, MO
| | | | - Jasreet Hundal
- The Genome Institute, Washington University in St. Louis, St. Louis, MO
| | - Robert S Fulton
- The Genome Institute, Washington University in St. Louis, St. Louis, MO
| | - Sharon Heath
- Department of Medicine, Division of Oncology, Washington University, St. Louis, MO
| | - Jack D Baty
- Division of Biostatistics, Washington University, St. Louis, MO
| | - Jeffery M Klco
- Department of Pathology and Immunology, Washington University, St Louis, MO
| | - Li Ding
- Department of Medicine, Division of Oncology, Washington University, St. Louis, MO.,Siteman Cancer Center, Washington University, St. Louis, MO
| | - Elaine R Mardis
- The Genome Institute, Washington University in St. Louis, St. Louis, MO.,Siteman Cancer Center, Washington University, St. Louis, MO.,Department of Genetics, Washington University, St. Louis, MO
| | - Peter Westervelt
- Department of Medicine, Division of Oncology, Washington University, St. Louis, MO.,Siteman Cancer Center, Washington University, St. Louis, MO
| | - John F DiPersio
- Department of Medicine, Division of Oncology, Washington University, St. Louis, MO.,Siteman Cancer Center, Washington University, St. Louis, MO
| | - Matthew J Walter
- Department of Medicine, Division of Oncology, Washington University, St. Louis, MO.,Siteman Cancer Center, Washington University, St. Louis, MO
| | - Timothy A Graubert
- Department of Medicine, Division of Oncology, Washington University, St. Louis, MO.,Siteman Cancer Center, Washington University, St. Louis, MO
| | - Timothy J Ley
- Department of Medicine, Division of Oncology, Washington University, St. Louis, MO.,Siteman Cancer Center, Washington University, St. Louis, MO
| | - Todd Druley
- Department of Pediatrics, Division of Hematology/Oncology, Washington University in St. Louis, St. Louis, MO
| | - Daniel C Link
- Department of Medicine, Division of Oncology, Washington University, St. Louis, MO.,Siteman Cancer Center, Washington University, St. Louis, MO
| | - Richard K Wilson
- The Genome Institute, Washington University in St. Louis, St. Louis, MO.,Siteman Cancer Center, Washington University, St. Louis, MO.,Department of Genetics, Washington University, St. Louis, MO
| |
Collapse
|
19
|
Lee JH, Cheng R, Honig LS, Feitosa M, Kammerer CM, Kang MS, Schupf N, Lin SJ, Sanders JL, Bae H, Druley T, Perls T, Christensen K, Province M, Mayeux R. Genome wide association and linkage analyses identified three loci-4q25, 17q23.2, and 10q11.21-associated with variation in leukocyte telomere length: the Long Life Family Study. Front Genet 2014; 4:310. [PMID: 24478790 PMCID: PMC3894567 DOI: 10.3389/fgene.2013.00310] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2013] [Accepted: 12/20/2013] [Indexed: 11/13/2022] Open
Abstract
Leukocyte telomere length is believed to measure cellular aging in humans, and short leukocyte telomere length is associated with increased risks of late onset diseases, including cardiovascular disease, dementia, etc. Many studies have shown that leukocyte telomere length is a heritable trait, and several candidate genes have been identified, including TERT, TERC, OBFC1, and CTC1. Unlike most studies that have focused on genetic causes of chronic diseases such as heart disease and diabetes in relation to leukocyte telomere length, the present study examined the genome to identify variants that may contribute to variation in leukocyte telomere length among families with exceptional longevity. From the genome wide association analysis in 4,289 LLFS participants, we identified a novel intergenic SNP rs7680468 located near PAPSS1 and DKK2 on 4q25 (p = 4.7E-8). From our linkage analysis, we identified two additional novel loci with HLOD scores exceeding three, including 4.77 for 17q23.2, and 4.36 for 10q11.21. These two loci harbor a number of novel candidate genes with SNPs, and our gene-wise association analysis identified multiple genes, including DCAF7, POLG2, CEP95, and SMURF2 at 17q23.2; and RASGEF1A, HNRNPF, ANF487, CSTF2T, and PRKG1 at 10q11.21. Among these genes, multiple SNPs were associated with leukocyte telomere length, but the strongest association was observed with one contiguous haplotype in CEP95 and SMURF2. We also show that three previously reported genes-TERC, MYNN, and OBFC1-were significantly associated with leukocyte telomere length at p empirical < 0.05.
Collapse
Affiliation(s)
- Joseph H Lee
- Sergievsky Center, College of Physicians and Surgeons, Columbia University New York, NY, USA ; Taub Institute, College of Physicians and Surgeons, Columbia University New York, NY, USA ; Department of Epidemiology, School of Public Health, Columbia University New York, NY, USA
| | - Rong Cheng
- Sergievsky Center, College of Physicians and Surgeons, Columbia University New York, NY, USA ; Taub Institute, College of Physicians and Surgeons, Columbia University New York, NY, USA
| | - Lawrence S Honig
- Sergievsky Center, College of Physicians and Surgeons, Columbia University New York, NY, USA ; Taub Institute, College of Physicians and Surgeons, Columbia University New York, NY, USA ; Department of Neurology, College of Physicians and Surgeons, Columbia University New York, NY, USA
| | - Mary Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine St. Louis, MO, USA
| | - Candace M Kammerer
- Department of Epidemiology, University of Pittsburgh Pittsburgh, PA, USA ; Department of Human Genetics, University of Pittsburgh Pittsburgh, PA, USA ; Center for Aging and Population Health, University of Pittsburgh Pittsburgh, PA, USA
| | - Min S Kang
- Taub Institute, College of Physicians and Surgeons, Columbia University New York, NY, USA
| | - Nicole Schupf
- Sergievsky Center, College of Physicians and Surgeons, Columbia University New York, NY, USA ; Taub Institute, College of Physicians and Surgeons, Columbia University New York, NY, USA ; Department of Epidemiology, School of Public Health, Columbia University New York, NY, USA ; Department of Psychiatry, College of Physicians and Surgeons, Columbia University New York, NY, USA
| | - Shiow J Lin
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine St. Louis, MO, USA
| | - Jason L Sanders
- Department of Epidemiology, University of Pittsburgh Pittsburgh, PA, USA ; Center for Aging and Population Health, University of Pittsburgh Pittsburgh, PA, USA
| | - Harold Bae
- Department of Biostatistics, Boston University Medical Center Boston, MA, USA
| | - Todd Druley
- Department of Pediatrics and Genetics, Washington University School of Medicine St. Louis, MO, USA
| | - Thomas Perls
- Department of Medicine, Boston University Medical Center Boston, MA, USA
| | - Kaare Christensen
- The Danish Aging Research Center, Epidemiology, University of Southern Denmark Odense, Denmark
| | - Michael Province
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine St. Louis, MO, USA
| | - Richard Mayeux
- Sergievsky Center, College of Physicians and Surgeons, Columbia University New York, NY, USA ; Taub Institute, College of Physicians and Surgeons, Columbia University New York, NY, USA ; Department of Epidemiology, School of Public Health, Columbia University New York, NY, USA ; Department of Neurology, College of Physicians and Surgeons, Columbia University New York, NY, USA ; Department of Psychiatry, College of Physicians and Surgeons, Columbia University New York, NY, USA
| |
Collapse
|
20
|
Kim JH, Song HB, Kim DH, Park KD, Kim JH, Kim JH, Lee BJ, Kim DH, Kim JH, Khatua S, Kalkan E, Brown R, Pearlman M, Vats T, Abela L, Fiaschetti G, Shalaby T, Grunder E, Ma M, Grahlert J, Baumgartner M, Siler U, Nonoguchi N, Ohgaki H, Grotzer M, Adachi JI, Suzuki T, Fukuoka K, Yanagisawa T, Mishima K, Koga T, Matsutani M, Nishikawa R, Sardi I, Giunti L, Bresci C, Cardellicchio S, Da Ros M, Buccoliero AM, Farina S, Arico M, Genitori L, Massimino M, Filippi L, Erdreich-Epstein A, Zhou H, Ren X, Schur M, Davidson TB, Ji L, Sposto R, Asgharzadeh S, Tong Y, White E, Murugesan M, Nimmervoll B, Wang M, Marino D, Ellison D, Finkelstein D, Pounds S, Malkin D, Gilbertson R, Eden C, Ju B, Murugesan M, Phoenix T, Poppleton H, Lessman C, Taylor M, Gilbertson R, Sardi I, la Marca G, Cardellicchio S, Da Ros M, Malvagia S, Giunti L, Fratoni V, Farina S, Arico M, Genitori L, Massimino M, Giovannini MG, Giangaspero F, Badiali M, Gleize V, Paris S, Moi L, Elhouadani S, Arcella A, Morace R, Antonelli M, Buttarelli F, Mokhtari K, Sanson M, Smith S, Ward J, Wilson M, Rahman C, Rose F, Peet A, Macarthur D, Grundy R, Rahman R, Venkatraman S, Birks D, Balakrishnan I, Alimova I, Harris P, Patel P, Foreman N, Vibhakar R, Wu H, Zhou Q, Wang D, Wang G, Dang D, Pencreach E, Nguyen A, Guerin E, Lasthaus C, Guenot D, Entz-Werle N, Unland R, Schlosser S, Farwick N, Plagemann T, Richter G, Juergens H, Fruehwald M, Chien CL, Lee YH, Lin CI, Hsieh JY, Lin SC, Wong TT, Ho DMT, Wang HW, Lagah S, Tan IL, Malcolm S, Grundy R, Rahman R, Majani Y, Smith S, Grundy R, Rahman R, van Vuurden DG, Aronica E, Wedekind LE, Hulleman E, Biesmans D, Bugiani M, Vandertop WP, Kaspers GJL, Wurdinger T, Noske DP, Van der Stoop PM, van Vuurden DG, Shukla S, Wedekind LE, Kuipers GK, Hulleman E, Noske DP, Wurdinger T, Vandertop WP, Slotman BJ, Kaspers GJL, Cloos J, Sun T, Warrington N, Luo J, Ganzhorn S, Tabori U, Druley T, Gutmann D, Rubin J, Castelo-Branco P, Choufani S, Mack S, Galagher D, Zhang C, Lipman T, Zhukova N, Martin D, Merino D, Wasserman J, Samuel C, Alon N, Hitzler J, Wang JCY, Malkin D, Keller G, Dirks PB, Pfister S, Taylor MD, Weksberg R, Tabori U, Leblond P, Meignan S, Dewitte A, Le Tinier F, Wattez N, Lartigau E, Lansiaux A, Hanson R, Gordon I, Zhao S, Camphausen K, Warren K, Warrington NM, Sun T, Gutmann DH, Rubin JB, Nguyen A, Lasthaus C, Jaillet M, Pencreach E, Guerin E, Guenot D, Entz-Werle N, Kovacs Z, Martin-Fiori E, Shalaby T, Grotzer M, Bernasconi M, Werner B, Dyberg C, Baryawno N, Milosevic J, Wickstrom M, Northcott PA, Taylor MD, Kool M, Kogner P, Johnsen JI, Wilson M, Reynolds G, Davies N, Arvanitis T, Peet A, Zoghbi A, Meisterernst M, Fruehwald MC, Kerl K, Orr B, Haffner M, Nelson W, Yegnasubramanian S, Eberhart C, Fotovati A, Abu-Ali S, Wang PS, Deleyrolle L, Lee C, Triscott J, Chen J, Franciosi S, Nakamura Y, Sugita Y, Uchiumi T, Kuwano M, Leavitt B, Singh S, Jury A, Jones C, Wakimoto H, Reynolds B, Pallen C, Dunn S, Fletcher S, Levine J, Li M, Kagawa N, Hirayama R, Chiba Y, Kijima N, Arita H, Kinoshita M, Hashimoto N, Izumoto S, Maruno M, Yoshimine T. BIOLOGY. Neuro Oncol 2012; 14:i7-i15. [PMCID: PMC3483341 DOI: 10.1093/neuonc/nos095] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/24/2023] Open
|
21
|
Haller G, Druley T, Vallania FL, Mitra RD, Li P, Akk G, Steinbach JH, Breslau N, Johnson E, Hatsukami D, Stitzel J, Bierut LJ, Goate AM. Rare missense variants in CHRNB4 are associated with reduced risk of nicotine dependence. Hum Mol Genet 2011; 21:647-55. [PMID: 22042774 DOI: 10.1093/hmg/ddr498] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Genome-wide association studies have identified common variation in the CHRNA5-CHRNA3-CHRNB4 and CHRNA6-CHRNB3 gene clusters that contribute to nicotine dependence. However, the role of rare variation in risk for nicotine dependence in these nicotinic receptor genes has not been studied. We undertook pooled sequencing of the coding regions and flanking sequence of the CHRNA5, CHRNA3, CHRNB4, CHRNA6 and CHRNB3 genes in African American and European American nicotine-dependent smokers and smokers without symptoms of dependence. Carrier status of individuals harboring rare missense variants at conserved sites in each of these genes was then compared in cases and controls to test for an association with nicotine dependence. Missense variants at conserved residues in CHRNB4 are associated with lower risk for nicotine dependence in African Americans and European Americans (AA P = 0.0025, odds-ratio (OR) = 0.31, 95% confidence-interval (CI) = 0.31-0.72; EA P = 0.023, OR = 0.69, 95% CI = 0.50-0.95). Furthermore, these individuals were found to smoke fewer cigarettes per day than non-carriers (AA P = 6.6 × 10(-5), EA P = 0.021). Given the possibility of stochastic differences in rare allele frequencies between groups replication of this association is necessary to confirm these findings. The functional effects of the two CHRNB4 variants contributing most to this association (T375I and T91I) and a missense variant in CHRNA3 (R37H) in strong linkage disequilibrium with T91I were examined in vitro. The minor allele of each polymorphism increased cellular response to nicotine (T375I P = 0.01, T91I P = 0.02, R37H P = 0.003), but the largest effect on in vitro receptor activity was seen in the presence of both CHRNB4 T91I and CHRNA3 R37H (P = 2 × 10(-6)).
Collapse
Affiliation(s)
- Gabe Haller
- Department of Psychiatry, Washington University, St Louis, MO 63110, USA
| | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
22
|
Mansur D, Druley T, Shenoy S, Hayashi R, Zhang J, Trinkaus K, Klein E. A Single-Fraction Total Body Irradiation Conditioning Regimen for Pediatric Allogeneic Stem Cell Transplant. Int J Radiat Oncol Biol Phys 2007. [DOI: 10.1016/j.ijrobp.2007.07.1853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
|
23
|
Mechetner EB, Schott B, Morse BS, Stein WD, Druley T, Davis KA, Tsuruo T, Roninson IB. P-glycoprotein function involves conformational transitions detectable by differential immunoreactivity. Proc Natl Acad Sci U S A 1997; 94:12908-13. [PMID: 9371774 PMCID: PMC24237 DOI: 10.1073/pnas.94.24.12908] [Citation(s) in RCA: 144] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
The MDR1 P-glycoprotein (Pgp), a member of the ATP-binding cassette family of transporters, is a transmembrane ATPase efflux pump for various lipophilic compounds, including many anti-cancer drugs. mAb UIC2, reactive with the extracellular moiety of Pgp, inhibits Pgp-mediated efflux. UIC2 reactivity with Pgp was increased by the addition of several Pgp-transported compounds or ATP-depleting agents, and by mutational inactivation of both nucleotide-binding domains (NBDs) of Pgp. UIC2 binding to Pgp mutated in both NBDs was unaffected in the presence of Pgp transport substrates or in ATP-depleted cells, whereas the reactivities of the wild-type Pgp and Pgps mutated in a single NBD were increased by these treatments to the level of the double mutant. These results indicate the existence of different Pgp conformations associated with different stages of transport-associated ATP hydrolysis and suggest trapping in a transient conformation as a mechanism for antibody-mediated inhibition of Pgp.
Collapse
Affiliation(s)
- E B Mechetner
- Department of Molecular Genetics, University of Illinois, Chicago 60607-7170, USA
| | | | | | | | | | | | | | | |
Collapse
|