Literature DB >> 31111762

The National MDS Natural History Study: design of an integrated data and sample biorepository to promote research studies in myelodysplastic syndromes.

Mikkael A Sekeres1, Steven D Gore2, Donald M Stablein3, Nancy DiFronzo4, Gregory A Abel5, Amy E DeZern6, Jesse D Troy7, Dana E Rollison8, John W Thomas4, Myron A Waclawiw4, Jane Jijun Liu9, Tareq Al Baghdadi10, Matthew J Walter11, Rafael Bejar12, Edward J Gorak13, Daniel T Starczynowski14, James M Foran15, James R Cerhan16, Lynn C Moscinski8, Rami S Komrokji8, H Joachim Deeg17, Pearlie K Epling-Burnette8.   

Abstract

Myelodysplastic syndromes (MDS), a spectrum of heterogeneous hematopoietic stem cell diseases, vary in clinical severity, response to therapy, and propensity toward progression to acute myeloid leukemia. These are acquired clonal disorders resulting from somatic mutations within the hematopoietic stem or progenitor cell population. Understanding the natural history and the risk of developing leukemia and other adverse outcomes is dependent on access to well-annotated biospecimens linked to robust clinical and molecular data. To facilitate the acquisition and distribution of MDS biospecimens to the wider scientific community and support scientific discovery in this disease, the National MDS Natural History study was initiated by the National Heart, Lung, and Blood Institute (NHLBI) and is being conducted in collaboration with community hospitals and academic medical centers supported by the National Cancer Institute (NCI). The study will recruit up to 2000 MDS patients or overlapping myeloproliferative neoplasms (MDS/MPN) and up to 500 cases of idiopathic cytopenia of undetermined significance (ICUS). The National MDS Natural History Study (NCT02775383) will offer the world's largest disease-focused tissue biobank linked to longitudinal clinical and molecular data in MDS. Here, we report on the study design features and describe the vanguard phase of 200 cases. The study assembles a comprehensive clinical database, quality of life results, laboratory data, histopathology slides and images, genetic information, hematopoietic and germline tissues representing high-quality biospecimens and data from diverse centers across the United States. These resources will be available to the scientific community for investigator-initiated research.

Entities:  

Keywords:  Myelodysplastic syndromes; biorepository; natural history; quality of life

Mesh:

Year:  2019        PMID: 31111762      PMCID: PMC7757428          DOI: 10.1080/10428194.2019.1616186

Source DB:  PubMed          Journal:  Leuk Lymphoma        ISSN: 1026-8022


  40 in total

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2.  The genomics and Personalized Medicine Act of 2006.

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3.  Myelodysplastic Syndromes, Version 2.2017, NCCN Clinical Practice Guidelines in Oncology.

Authors:  Peter L Greenberg; Richard M Stone; Aref Al-Kali; Stefan K Barta; Rafael Bejar; John M Bennett; Hetty Carraway; Carlos M De Castro; H Joachim Deeg; Amy E DeZern; Amir T Fathi; Olga Frankfurt; Karin Gaensler; Guillermo Garcia-Manero; Elizabeth A Griffiths; David Head; Ruth Horsfall; Robert A Johnson; Mark Juckett; Virginia M Klimek; Rami Komrokji; Lisa A Kujawski; Lori J Maness; Margaret R O'Donnell; Daniel A Pollyea; Paul J Shami; Brady L Stein; Alison R Walker; Peter Westervelt; Amer Zeidan; Dorothy A Shead; Courtney Smith
Journal:  J Natl Compr Canc Netw       Date:  2017-01       Impact factor: 11.908

Review 4.  Integrating Frailty, Comorbidity, and Quality of Life in the Management of Myelodysplastic Syndromes.

Authors:  Gregory A Abel; Rena Buckstein
Journal:  Am Soc Clin Oncol Educ Book       Date:  2016

Review 5.  Prognostic factors and scoring systems in myelodysplastic syndromes.

Authors:  G F Sanz; M A Sanz; P L Greenberg
Journal:  Haematologica       Date:  1998-04       Impact factor: 9.941

6.  Spectrum of Clonal Large Granular Lymphocytes (LGLs) of αβ T Cells: T-Cell Clones of Undetermined Significance, T-Cell LGL Leukemias, and T-Cell Immunoclones.

Authors:  Timothy P Singleton; Bin Yin; Andinet Teferra; Jenny Z Mao
Journal:  Am J Clin Pathol       Date:  2015-07       Impact factor: 2.493

Review 7.  Application of the molecular analysis of the T-cell receptor repertoire in the study of immune-mediated hematologic diseases.

Authors:  Magdalena Plasilova; Antonio Risitano; Jaroslaw P Maciejewski
Journal:  Hematology       Date:  2003-06       Impact factor: 2.269

8.  Prognostic implications of morphology and karyotype in primary myelodysplastic syndromes.

Authors:  R H Jacobs; M A Cornbleet; J W Vardiman; R A Larson; M M Le Beau; J D Rowley
Journal:  Blood       Date:  1986-06       Impact factor: 22.113

9.  Personalized medicine: challenges and opportunities for translational bioinformatics.

Authors:  Casey Lynnette Overby; Peter Tarczy-Hornoch
Journal:  Per Med       Date:  2013-07-01       Impact factor: 2.512

10.  Randomized Phase II Study of Azacitidine Alone or in Combination With Lenalidomide or With Vorinostat in Higher-Risk Myelodysplastic Syndromes and Chronic Myelomonocytic Leukemia: North American Intergroup Study SWOG S1117.

Authors:  Mikkael A Sekeres; Megan Othus; Alan F List; Olatoyosi Odenike; Richard M Stone; Steven D Gore; Mark R Litzow; Rena Buckstein; Min Fang; Diane Roulston; Clara D Bloomfield; Anna Moseley; Aziz Nazha; Yanming Zhang; Mario R Velasco; Rakesh Gaur; Ehab Atallah; Eyal C Attar; Elina K Cook; Alyssa H Cull; Michael J Rauh; Frederick R Appelbaum; Harry P Erba
Journal:  J Clin Oncol       Date:  2017-05-09       Impact factor: 50.717

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  2 in total

Review 1.  Assessing clonal haematopoiesis: clinical burdens and benefits of diagnosing myelodysplastic syndrome precursor states.

Authors:  Lukasz P Gondek; Amy E DeZern
Journal:  Lancet Haematol       Date:  2019-12-03       Impact factor: 18.959

2.  Failure to Detect Mutations in U2AF1 due to Changes in the GRCh38 Reference Sequence.

Authors:  Christopher A Miller; Jason R Walker; Travis L Jensen; William F Hooper; Robert S Fulton; Jeffrey S Painter; Mikkael A Sekeres; Timothy J Ley; David H Spencer; Johannes B Goll; Matthew J Walter
Journal:  J Mol Diagn       Date:  2022-01-15       Impact factor: 5.568

  2 in total

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