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Qu X, Stevens E, Fitzgibbon MP, Beppu L, Monahan TM, Yeung C, Stirewalt DL, Wu D, Radich JP, Deeg HJ, Fang M. Pretransplant Chromosome Genomic Array Testing Improves Prognostication for Myelofibrosis Patients Undergoing Transplantation. Transplant Cell Ther 2025; 31:170.e1-170.e8. [PMID: 39722322 DOI: 10.1016/j.jtct.2024.12.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2024] [Revised: 12/13/2024] [Accepted: 12/20/2024] [Indexed: 12/28/2024]
Abstract
BACKGROUND Despite its known superior diagnostic yield for chromosomal anomalies compared with karyotype and fluorescence in situ hybridization (FISH) studies, chromosome genomic array testing (CGAT) is not used as a routine clinical test for myelofibrosis. Although many prognostic systems exist that risk stratify patients at diagnosis, limited tools are available to prognosticate transplant outcome. OBJECTIVE The current study aimed at testing whether CGAT results obtained before transplantation improves prognosis of post-transplant outcome in patients with myelofibrosis compared with current risk categorization systems, for example, DIPSS plus (Dynamic International Prognostic Scoring System). STUDY DESIGN We studied patients with myelofibrosis who underwent hematopoietic cell transplantation between 2000 and 2017 at our center (N = 44). We assessed the prognostic significance of CGAT, DIPSS plus, and the total count of gene mutations for post-transplant clinical outcomes, including relapse-free survival (RFS), overall survival (OS), and graft-versus-host-disease (GVHD). RESULTS Abnormal CGAT results were seen in 24 patients (55%), including 18 with copy-neutral loss of heterozygosity (cnLOH, 41%). With a median follow-up of 91 (range 2-258) months starting from the CGAT sample date, RFS was 59% and OS was 68%. The outcome analysis showed significant prognostic implication from CGAT (normal vs. abnormal), specifically for patients with intermediate risk by DIPSS-plus scores and those with 0∼2 mutations. CGAT alone significantly stratified the patients' RFS outcome (P = .03). The addition of CGAT to DIPSS-plus improved the significance from a P value of .08 to .003, whereas the addition of CGAT to mutation count improved the P value from .02 to .01. The best stratification system for RFS was achieved when CGAT, DIPSS-plus, and mutation count were all considered (P = 1e-08). The current study also confirmed individual anomalies that are prognostically significant, including U2AF1 mutation (n = 5, P = .03) and 1q gain (n = 3, P = .01), which were associated with worse RFS. ASXL1 mutations (n = 14) appeared to associate with a later onset of chronic GVHD (P =.03). CONCLUSION Pretransplant CGAT analysis augments the existing risk stratification tools and may be considered as routine clinical testing for myelofibrosis.
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Affiliation(s)
- Xiaoyu Qu
- Fred Hutchinson Cancer Center, Seattle, Washington
| | - Emily Stevens
- Virginia Mason Franciscan Health, Seattle, Washington
| | | | - Lan Beppu
- Fred Hutchinson Cancer Center, Seattle, Washington
| | | | - Cecilia Yeung
- Fred Hutchinson Cancer Center, Seattle, Washington; University of Washington, Seattle, Washington
| | - Derek L Stirewalt
- Fred Hutchinson Cancer Center, Seattle, Washington; University of Washington, Seattle, Washington
| | - David Wu
- University of Washington, Seattle, Washington
| | - Jerald P Radich
- Fred Hutchinson Cancer Center, Seattle, Washington; University of Washington, Seattle, Washington
| | - H Joachim Deeg
- Fred Hutchinson Cancer Center, Seattle, Washington; University of Washington, Seattle, Washington
| | - Min Fang
- Fred Hutchinson Cancer Center, Seattle, Washington; University of Washington, Seattle, Washington.
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Lestringant V, Guermouche-Flament H, Jimenez-Pocquet M, Gaillard JB, Penther D. Cytogenetics in the management of hematological malignancies: An overview of alternative technologies for cytogenetic characterization. Curr Res Transl Med 2024; 72:103440. [PMID: 38447270 DOI: 10.1016/j.retram.2024.103440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 12/22/2023] [Accepted: 01/11/2024] [Indexed: 03/08/2024]
Abstract
Genomic characterization is an essential part of the clinical management of hematological malignancies for diagnostic, prognostic and therapeutic purposes. Although CBA and FISH are still the gold standard in hematology for the detection of CNA and SV, some alternative technologies are intended to complement their deficiencies or even replace them in the more or less near future. In this article, we provide a technological overview of these alternatives. CMA is the historical and well established technique for the high-resolution detection of CNA. For SV detection, there are emerging techniques based on the study of chromatin conformation and more established ones such as RTMLPA for the detection of fusion transcripts and RNA-seq to reveal the molecular consequences of SV. Comprehensive techniques that detect both CNA and SV are the most interesting because they provide all the information in a single examination. Among these, OGM is a promising emerging higher-solution technique that offers a complete solution at a contained cost, at the expense of a relatively low throughput per machine. WGS remains the most adaptable solution, with long-read approaches enabling very high-resolution detection of CAs, but requiring a heavy bioinformatics installation and at a still high cost. However, the development of high-resolution genome-wide detection techniques for CAs allows for a much better description of chromoanagenesis. Therefore, we have included in this review an update on the various existing mechanisms and their consequences and implications, especially prognostic, in hematological malignancies.
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Affiliation(s)
| | | | | | - Jean-Baptiste Gaillard
- Unité de Génétique Chromosomique, Service de Génétique moléculaire et cytogénomique, CHU Montpellier, Montpellier, France
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Akkari Y, Baughn LB, Kim A, Karaca E, Raca G, Shao L, Mikhail FM. Section E6.1-6.6 of the American College of Medical Genetics and Genomics (ACMG) Technical Laboratory Standards: Cytogenomic studies of acquired chromosomal abnormalities in neoplastic blood, bone marrow, and lymph nodes. Genet Med 2024; 26:101054. [PMID: 38349293 DOI: 10.1016/j.gim.2023.101054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 12/08/2023] [Indexed: 04/09/2024] Open
Abstract
Cytogenomic analyses of acquired clonal chromosomal abnormalities in neoplastic blood, bone marrow, and/or lymph nodes are instrumental in the clinical management of patients with hematologic neoplasms. Cytogenetic analyses assist in the diagnosis of such disorders and can provide important prognostic information. Furthermore, cytogenetic studies can provide crucial information regarding specific genetically defined subtypes of these neoplasms that may have targeted therapies. At time of relapse, cytogenetic analysis can confirm recurrence of the original neoplasm, detect clonal disease evolution, or uncover a new unrelated neoplastic process. This section deals specifically with the technical standards applicable to cytogenomic studies of acquired clonal chromosomal abnormalities in neoplastic blood, bone marrow, and/or lymph nodes. This updated Section E6.1-6.6 supersedes the previous Section E6 in Section E: Clinical Cytogenetics of the American College of Medical Genetics and Genomics Technical Standards for Clinical Genetics Laboratories.
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Affiliation(s)
- Yassmine Akkari
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH
| | - Linda B Baughn
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Annette Kim
- Department of Pathology, University of Michigan, Ann Arbor, MI
| | - Ender Karaca
- Department of Pathology, Baylor University Medical Center, Dallas, TX; Texas A&M School of Medicine, Texas A&M University, Dallas, TX
| | - Gordana Raca
- Department of Pathology and Laboratory Medicine, Children's Hospital Los Angeles, Los Angeles, CA; Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Lina Shao
- Department of Pathology, University of Michigan, Ann Arbor, MI
| | - Fady M Mikhail
- Department of Genetics, University of Alabama at Birmingham, Birmingham, AL
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Maurya N, Shanmukhaiah C, Dhangar S, Madkaikar M, Vundinti BR. Comprehensive Study of Chromosomal Copy Number Variations and Genomic Variations Predicting Overall Survival in Myelodysplastic Syndromes. Oncology 2024; 102:897-906. [PMID: 38442690 DOI: 10.1159/000536446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 01/13/2024] [Indexed: 03/07/2024]
Abstract
INTRODUCTION Myelodysplastic syndrome (MDS) is a heterogeneous disease characterized by cytopenia, marrow dysplasia and has a propensity to develop into acute myeloid leukemia. The disease progression is majorly affected by genetic defects. However, about 40-50% of patients with MDS present with a normal karyotype and develop different courses of disease. Hence, there remains a room to advance the biological understanding and find molecular prognostic markers for cytogenetically normal MDS. METHODS We performed a high-resolution CGH + SNP array along with next-generation sequencing (NGS) of 77 primary diagnosed MDS patients, and also they were clinically followed up. RESULTS Our study revealed 82 clinically significant genomic lesions (losses/gains) in 49% of MDS patients. CGH + SNP array reduced the proportion of normal karyotype by 30%. SNP array in combination with NGS confirmed the biallelic loss of function of the TP53 gene (2/6), which is a clinically relevant biomarker and new genetic-based MDS entity, i.e., MDS-biTP53, as per the new WHO classification 2022. Genomic region 2p22.3 presented with frequent lesions and also with a more hazard ratio (2.7, 95% CI: 0.37-21) when analyzed by Kaplan-Meier survival analysis. CONCLUSION CGH + SNP array changed the cytogenetic and IPSS-R risk group in 18% and 13% of patients, respectively, with an improved prediction of prognosis. This study emphasizes the cytogenetic heterogeneity of MDS and highlights that abnormality with chromosome 2 may have a diagnostic and prognostic impact.
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Affiliation(s)
- Nehakumari Maurya
- Department of Cytogenetics, ICMR-National Institute of Immunohaematology, Mumbai, India
| | | | - Somprakash Dhangar
- Department of Cytogenetics, ICMR-National Institute of Immunohaematology, Mumbai, India
| | - Manisha Madkaikar
- Department of Cytogenetics, ICMR-National Institute of Immunohaematology, Mumbai, India
| | - Babu Rao Vundinti
- Department of Cytogenetics, ICMR-National Institute of Immunohaematology, Mumbai, India
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Rafati M, Brown DW, Zhou W, Jones K, Luo W, St. Martin A, Wang Y, He M, Spellman SR, Wang T, Deeg HJ, Gupta V, Lee SJ, Bolon YT, Chanock SJ, Machiela MJ, Saber W, Gadalla SM. JAK2 V617F mutation and associated chromosomal alterations in primary and secondary myelofibrosis and post-HCT outcomes. Blood Adv 2023; 7:7506-7515. [PMID: 38011490 PMCID: PMC10758737 DOI: 10.1182/bloodadvances.2023010882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 10/02/2023] [Accepted: 10/02/2023] [Indexed: 11/29/2023] Open
Abstract
JAK2 V617F is the most common driver mutation in primary or secondary myelofibrosis for which allogeneic hematopoietic cell transplantation (HCT) is the only curative treatment. Knowledge of the prognostic utility of JAK2 alterations in the HCT setting is limited. We identified all patients with MF who received HCT between 2000 and 2016 and had a pre-HCT blood sample (N = 973) available at the Center of International Blood and Marrow Transplant Research biorepository. PacBio sequencing and single nucleotide polymorphism-array genotyping were used to identify JAK2V617F mutation and associated mosaic chromosomal alterations (mCAs), respectively. Cox proportional hazard models were used for HCT outcome analyses. Genomic testing was complete for 924 patients with MF (634 primary MF [PMF], 135 postpolycythemia vera [PPV-MF], and 155 postessential thrombocytopenia [PET-MF]). JAK2V617F affected 562 patients (57.6% of PMF, 97% of PPV-MF, and 42.6% of PET-MF). Almost all patients with mCAs involving the JAK2 region (97.9%) were JAK2V617-positive. In PMF, JAK2V617F mutation status, allele burden, or identified mCAs were not associated with disease progression/relapse, nonrelapse mortality (NRM), or overall survival. Almost all PPV-MF were JAK2V617F-positive (97%), with no association between HCT outcomes and mutation allele burden or mCAs. In PET-MF, JAK2V617F high mutation allele burden (≥60%) was associated with excess risk of NRM, restricted to transplants received in the era of JAK inhibitors (2013-2016; hazard ratio = 7.65; 95% confidence interval = 2.10-27.82; P = .002). However, allele burden was not associated with post-HCT disease progression/relapse or survival. Our findings support the concept that HCT can mitigate the known negative effect of JAK2V617F in patients with MF, particularly for PMF and PPV-MF.
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Affiliation(s)
- Maryam Rafati
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Derek W. Brown
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Weiyin Zhou
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
- Leidos Biomedical Research, Inc, Frederick National Laboratory for Cancer Research, Frederick, MD
| | - Kristine Jones
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
- Leidos Biomedical Research, Inc, Frederick National Laboratory for Cancer Research, Frederick, MD
| | - Wen Luo
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
- Leidos Biomedical Research, Inc, Frederick National Laboratory for Cancer Research, Frederick, MD
| | - Andrew St. Martin
- Center for International Blood and Marrow Transplant Research, Minneapolis, MN
| | - Youjin Wang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Meilun He
- Center for International Blood and Marrow Transplant Research, Minneapolis, MN
| | - Stephen R. Spellman
- Center for International Blood and Marrow Transplant Research, Minneapolis, MN
| | - Tao Wang
- Center for International Blood and Marrow Transplant Research, Milwaukee, WI
- Division of Biostatistics, Medical College of Wisconsin, Milwaukee, WI
| | - H. Joachim Deeg
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Vikas Gupta
- MPN Program, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada
| | - Stephanie J. Lee
- Center for International Blood and Marrow Transplant Research, Milwaukee, WI
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Yung-Tsi Bolon
- Center for International Blood and Marrow Transplant Research, Minneapolis, MN
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Mitchell J. Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Wael Saber
- Center for International Blood and Marrow Transplant Research, Milwaukee, WI
| | - Shahinaz M. Gadalla
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD
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Scarpelli I, Stalder VB, Tsilimidos G, Rapakko K, Costanza M, Blum S, Schoumans J. Refined cytogenetic IPSS-R evaluation by the use of SNP array in a cohort of 290 MDS patients. Genes Chromosomes Cancer 2023; 62:721-731. [PMID: 37449676 DOI: 10.1002/gcc.23191] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 07/04/2023] [Accepted: 07/05/2023] [Indexed: 07/18/2023] Open
Abstract
Genetic testing plays a central role in myelodysplastic neoplasms (MDS) diagnosis, prognosis, and therapeutic decisions. The widely applied cytogenetic revised international prognostic scoring system (IPSS-R) was based on chromosome banding analysis (CBA). However, subsequently developed genetic methodologies, such as single nucleotide polymorphism (SNP) array, demonstrated to be a valid alternative test for MDS. SNP array is, in fact, able to detect the majority of MDS-associated cytogenetic aberrations, by providing further genomic information due to its higher resolution. In this study, 290 samples from individuals with a confirmed or suspected diagnosis of MDS were tested by both CBA and SNP array, in order to evaluate and compare their cytogenetic IPSS-R score in the largest MDS cohort reported so far. A concordant or better refined cytogenetic IPSS-R array-based score was obtained for 95% of cases (277). Therefore, this study confirms the effective applicability of SNP array toward the cytogenetic IPSS-R evaluation and consequently, toward the molecular international prognostic scoring system for MDS (IPSS-M) assessment, which ensures an improved MDS risk stratification refinement. Considering the advent of additional genetic technologies interrogating the whole genome with increased resolutions, counting cytogenetic abnormalities based on their size may result in a simplistic approach. On the contrary, assessing overall genomic complexity may provide additional crucial information. Independently of the technology used, genetic results should indeed aim at ensuring a highly refined stratification for MDS patients.
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Affiliation(s)
- Ilaria Scarpelli
- Oncogenomic laboratory, Hematology Service, University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Valérie Beyer Stalder
- Oncogenomic laboratory, Hematology Service, University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Gerasimos Tsilimidos
- Hematology Service and Central Laboratory of Hematology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Katrin Rapakko
- Oncogenomic laboratory, Hematology Service, University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Mariangela Costanza
- Hematology Service, University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Sabine Blum
- Hematology Service, University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Jacqueline Schoumans
- Oncogenomic laboratory, Hematology Service, University Hospital and University of Lausanne, Lausanne, Switzerland
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7
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Mallo M, Tuechler H, Arenillas L, Raynaud S, Cluzeau T, Shih L, Tung‐Liang C, Ganster C, Shirneshan K, Haase D, Mascaró M, Palomo L, Cervera J, Such E, Trim N, Jeffries S, Ridgway E, Marconi G, Martinelli G, Solé F. Regions of homozygosity confer a worse prognostic impact in myelodysplastic syndrome with normal karyotype. EJHAEM 2023; 4:446-449. [PMID: 37206269 PMCID: PMC10188467 DOI: 10.1002/jha2.651] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 01/18/2023] [Indexed: 05/21/2023]
Abstract
Half of the myelodysplastic syndromes (MDS) have normal karyotype by conventional banding analysis. The percentage of true normal karyotype cases can be reduced by 20-30% with the complementary application of genomic microarrays. We here present a multicenter collaborative study of 163 MDS cases with a normal karyotype (≥10 metaphases) at diagnosis. All cases were analyzed with the ThermoFisher® microarray (either SNP 6.0 or CytoScan HD) for the identification of both copy number alteration(CNA) and regions of homozygosity (ROH). Our series supports that 25 Mb cut-off as having the most prognostic impact, even after adjustment by IPSS-R. This study highlights the importance of microarrays in MDS patients, to detect CNAs and especially to detect acquired ROH which has demonstrated a high prognostic impact.
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Affiliation(s)
- Mar Mallo
- MDS Research GroupInstitut de Recerca Contra la Leucèmia Josep Carreras (IJC)ICO‐Hospital Germans Trias i PujolUniversitat Autònoma de BarcelonaBadalonaSpain
- Microarrays UnitInstitut de Recerca Contra la Leucèmia Josep Carreras (IJC)ICO‐Hospital Germans Trias i PujolUniversitat Autònoma de BarcelonaBadalonaSpain
| | - Heinz Tuechler
- Boltzmann Institute for Leukaemia Research and HematologyViennaAustria
| | - Leonor Arenillas
- Hematological Cytology LaboratoryPathology DepartmentHospital del MarGRETNHE, IMIM (Hospital del Mar Research Institute)BarcelonaSpain
| | - Sophie Raynaud
- Hematology DepartmentCote d'Azur UniversityCHU of NiceNiceFrance
| | - Thomas Cluzeau
- Hematology DepartmentCote d'Azur UniversityCHU of NiceNiceFrance
| | - Lee‐Yung Shih
- Division of HematologyChang Gung Memorial Hospital‐LinkuoChang Gung UniversityTaoyuan CityTaiwan
| | - Chiang Tung‐Liang
- Division of HematologyChang Gung Memorial Hospital‐LinkuoChang Gung UniversityTaoyuan CityTaiwan
| | - Christina Ganster
- Clinics of Hematology and Medical OncologyUniversity Medical Center GöttingenGöttingenGermany
| | - Katayoon Shirneshan
- Clinics of Hematology and Medical OncologyUniversity Medical Center GöttingenGöttingenGermany
| | - Detlef Haase
- Clinics of Hematology and Medical OncologyUniversity Medical Center GöttingenGöttingenGermany
| | - Martí Mascaró
- Hematology ServiceHospital Son LlàtzerPalma de MallorcaSpain
| | - Laura Palomo
- Experimental HematologyVall d'Hebron Institute of Oncology (VHIO)Vall d'Hebron Barcelona Hospital CampusBarcelonaSpain
| | - José Cervera
- Hematology ServiceHospital Universitario La FeValenciaSpain
| | - Esperanza Such
- Hematology ServiceHospital Universitario La FeValenciaSpain
| | - Nicola Trim
- West Midlands Regional Genetics LaboratoryBirmingham Women's HospitalBirminghamUK
| | - Sally Jeffries
- West Midlands Regional Genetics LaboratoryBirmingham Women's HospitalBirminghamUK
| | - Emma Ridgway
- West Midlands Regional Genetics LaboratoryBirmingham Women's HospitalBirminghamUK
| | - Giovanni Marconi
- IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”MeldolaItaly
| | - Giovanni Martinelli
- IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”MeldolaItaly
| | - Francesc Solé
- MDS Research GroupInstitut de Recerca Contra la Leucèmia Josep Carreras (IJC)ICO‐Hospital Germans Trias i PujolUniversitat Autònoma de BarcelonaBadalonaSpain
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Nguyen-Khac F, Bidet A, Daudignon A, Lafage-Pochitaloff M, Ameye G, Bilhou-Nabéra C, Chapiro E, Collonge-Rame MA, Cuccuini W, Douet-Guilbert N, Eclache V, Luquet I, Michaux L, Nadal N, Penther D, Quilichini B, Terre C, Lefebvre C, Troadec MB, Véronèse L. The complex karyotype in hematological malignancies: a comprehensive overview by the Francophone Group of Hematological Cytogenetics (GFCH). Leukemia 2022; 36:1451-1466. [DOI: 10.1038/s41375-022-01561-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 03/24/2022] [Accepted: 03/28/2022] [Indexed: 12/16/2022]
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9
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Akkari YM, Baughn LB, Dubuc AM, Smith AC, Mallo M, Dal Cin P, Diez Campelo M, Gallego MS, Granada Font I, Haase DT, Schlegelberger B, Slavutsky I, Mecucci C, Levine RL, Hasserjian RP, Solé F, Levy B, Xu X. Guiding the global evolution of cytogenetic testing for hematologic malignancies. Blood 2022; 139:2273-2284. [PMID: 35167654 PMCID: PMC9710485 DOI: 10.1182/blood.2021014309] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Accepted: 02/03/2022] [Indexed: 12/15/2022] Open
Abstract
Cytogenetics has long represented a critical component in the clinical evaluation of hematologic malignancies. Chromosome banding studies provide a simultaneous snapshot of genome-wide copy number and structural variation, which have been shown to drive tumorigenesis, define diseases, and guide treatment. Technological innovations in sequencing have ushered in our present-day clinical genomics era. With recent publications highlighting novel sequencing technologies as alternatives to conventional cytogenetic approaches, we, an international consortium of laboratory geneticists, pathologists, and oncologists, describe herein the advantages and limitations of both conventional chromosome banding and novel sequencing technologies and share our considerations on crucial next steps to implement these novel technologies in the global clinical setting for a more accurate cytogenetic evaluation, which may provide improved diagnosis and treatment management. Considering the clinical, logistic, technical, and financial implications, we provide points to consider for the global evolution of cytogenetic testing.
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Affiliation(s)
- Yassmine M.N. Akkari
- Departments of Cytogenetics and Molecular Pathology, Legacy Health, Portland, OR
| | - Linda B. Baughn
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Adrian M. Dubuc
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Adam C. Smith
- Laboratory Medicine Program, University Health Network and Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada
| | - Mar Mallo
- MDS Group, Microarrays Unit, Josep Carreras Leukaemia Research Institute, Barcelona, Spain
| | - Paola Dal Cin
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Maria Diez Campelo
- Hematology Department University Hospital of Salamanca, IBSAL, Salamanca, Spain
| | - Marta S. Gallego
- Laboratory of Cytogenetics and Molecular Cytogenetics, Department of Clinical Pathology, Italian Hospital, Buenos Aires, Argentina
| | - Isabel Granada Font
- Hematology Laboratory, Germans Trias i Pujol University Hospital–Catalan Institute of Oncology, Josep Carreras Leukemia Research Institute, Barcelona, Spain
| | - Detlef T. Haase
- Clinics of Hematology and Medical Oncology, University Medical Center Göttingen, Göttingen, Germany
| | | | - Irma Slavutsky
- Laboratory Genetics of Lymphoid Malignancies, Institute of Experimental Medicine, Buenos Aires, Argentina
| | - Cristina Mecucci
- Laboratory of Cytogenetics and Molecular Medicine, Hematology University of Perugia, Perugia, Italy
| | - Ross L. Levine
- Department of Medicine, Human Oncology and Pathogenesis Program, Memorial Sloan-Kettering Cancer Center, New York, NY
| | | | - Francesc Solé
- MDS Group, Microarrays Unit, Josep Carreras Leukaemia Research Institute, Barcelona, Spain
| | - Brynn Levy
- College of Physicians and Surgeons, Columbia University Medical Center and the New York Presbyterian Hospital, New York, NY
| | - Xinjie Xu
- Division of Hematopathology, Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
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10
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Keel S. The clinical and laboratory evaluation of patients with suspected hypocellular marrow failure. HEMATOLOGY. AMERICAN SOCIETY OF HEMATOLOGY. EDUCATION PROGRAM 2021; 2021:134-142. [PMID: 34889426 PMCID: PMC8791137 DOI: 10.1182/hematology.2021000244] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
The overlap in clinical presentation and bone marrow features of acquired and inherited causes of hypocellular marrow failure poses a significant diagnostic challenge in real case scenarios, particularly in nonsevere disease. The distinction between acquired aplastic anemia (aAA), hypocellular myelodysplastic syndrome (MDS), and inherited bone marrow failure syndromes presenting with marrow hypocellularity is critical to inform appropriate care. Here, we review the workup of hypocellular marrow failure in adolescents through adults. Given the limitations of relying on clinical stigmata or family history to identify patients with inherited etiologies, we outline a diagnostic approach incorporating comprehensive genetic testing in patients with hypocellular marrow failure that does not require immediate therapy and thus allows time to complete the evaluation. We also review the clinical utility of marrow array to detect acquired 6p copy number-neutral loss of heterozygosity to support a diagnosis of aAA, the complexities of telomere length testing in patients with aAA, short telomere syndromes, and other inherited bone marrow failure syndromes, as well as the limitations of somatic mutation testing for mutations in myeloid malignancy genes for discriminating between the various diagnostic possibilities.
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Affiliation(s)
- Siobán Keel
- University of Washington, Seattle, WA
- Correspondence Siobán Keel, University of Washington, Division of Hematology, Seattle, WA 98105; e-mail:
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Chromosomal microarray analysis, including constitutional and neoplastic disease applications, 2021 revision: a technical standard of the American College of Medical Genetics and Genomics (ACMG). Genet Med 2021; 23:1818-1829. [PMID: 34131312 DOI: 10.1038/s41436-021-01214-w] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 05/04/2021] [Accepted: 05/04/2021] [Indexed: 11/08/2022] Open
Abstract
Chromosomal microarray technologies, including array comparative genomic hybridization and single-nucleotide polymorphism array, are widely applied in the diagnostic evaluation for both constitutional and neoplastic disorders. In a constitutional setting, this technology is accepted as the first-tier test for the evaluation of chromosomal imbalances associated with intellectual disability, autism, and/or multiple congenital anomalies. Furthermore, chromosomal microarray analysis is recommended for patients undergoing invasive prenatal diagnosis with one or more major fetal structural abnormalities identified by ultrasonographic examination, and in the evaluation of intrauterine fetal demise or stillbirth when further cytogenetic analysis is desired. This technology also provides important genomic data in the diagnosis, prognosis, and therapy of neoplastic disorders, including both hematologic malignancies and solid tumors. To assist clinical laboratories in the validation of chromosomal microarray methodologies for constitutional and neoplastic applications, the American College of Medical Genetics and Genomics (ACMG) Laboratory Quality Assurance Committee has developed these updated technical laboratory standards, which replace the ACMG technical standards and guidelines for microarray analysis in constitutional and neoplastic disorders previously published in 2013.
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12
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Next Generation Cytogenetics in Myeloid Hematological Neoplasms: Detection of CNVs and Translocations. Cancers (Basel) 2021; 13:cancers13123001. [PMID: 34203905 PMCID: PMC8232573 DOI: 10.3390/cancers13123001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 06/07/2021] [Accepted: 06/14/2021] [Indexed: 12/12/2022] Open
Abstract
Simple Summary Conventional cytogenetic approaches are the gold standard for the identification of chromosomal alterations in myeloid neoplasms. Next-generation sequencing panels are a new approach for the detection of copy number variations (CNV) or translocations. Here we report on a commercial panel utility including frequent mutations, CNVs and translocations in myeloid neoplasms. A total of 135 patients with myeloid neoplasms and three with acute lymphoblastic leukemia were analyzed by NGS. When comparing with gold standard techniques, 48 frequent alterations were detected by both methodologies, ten of them observed only by conventional methods and another eight only by NGS. Additionally, 38 secondary CNVs were detected in any of the genes included in the panel for mutational analysis. With those results we determine that NGS represents a reliable complementary source of information for the analysis of CNVs and translocations. Abstract Conventional cytogenetics are the gold standard for the identification of chromosomal alterations recurrent in myeloid neoplasms. Some next-generation sequencing (NGS) panels are designed for the detection of copy number variations (CNV) or translocations; however, their use is far from being widespread. Here we report on the results of a commercial panel including frequent mutations, CNVs and translocations in myeloid neoplasms. Frequent chromosomal alterations were analyzed by NGS in 135 patients with myeloid neoplasms and three with acute lymphoblastic leukemia. NGS analysis was performed using the enrichment-capture Myeloid Neoplasm-GeneSGKit (Sistemas Genómicos, Spain) gene panel including 35 genes for mutational analysis and frequent CNVs and translocations. NGS results were validated with cytogenetics and/or MLPA when possible. A total of 66 frequent alterations included in NGS panel were detected, 48 of them detected by NGS and cytogenetics. Ten of them were observed only by cytogenetics (mainly trisomy 8), and another eight only by NGS (mainly deletion of 12p). Aside from this, 38 secondary CNVs were detected in any of the genes included mainly for mutational analysis. NGS represents a reliable complementary source of information for the analysis of CNVs and translocations. Moreover, NGS could be a useful tool for the detection of alterations not observed by conventional cytogenetics.
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13
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Mikkelsen SU, Safavi S, Dimopoulos K, O'Rourke CJ, Andersen MK, Holm MS, Marcher CW, Andersen JB, Hansen JW, Grønbæk K. Structural aberrations are associated with poor survival in patients with clonal cytopenia of undetermined significance. Haematologica 2021; 106:1762-1766. [PMID: 33179473 PMCID: PMC8168501 DOI: 10.3324/haematol.2020.263319] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2020] [Indexed: 11/09/2022] Open
Affiliation(s)
- Stine U Mikkelsen
- Department of Hematology, Rigshospitalet, Copenhagen, Denmark; Biotech Research and Innovation Centre (BRIC), Department of Health and Medical Sciences, University of Copenhagen, Copenhagen
| | - Setareh Safavi
- Department of Clinical Genetics, Rigshospitalet, Copenhagen
| | | | - Colm J O'Rourke
- Biotech Research and Innovation Centre (BRIC), Department of Health and Medical Sciences, University of Copenhagen, Copenhagen
| | | | - Mette S Holm
- Department of Hematology, Aarhus University Hospital, Aarhus
| | - Claus W Marcher
- Department of Hematology, Odense University Hospital, Odense
| | - Jesper B Andersen
- Biotech Research and Innovation Centre (BRIC), Department of Health and Medical Sciences, University of Copenhagen, Copenhagen
| | - Jakob W Hansen
- Department of Hematology, Rigshospitalet, Copenhagen, Denmark; Biotech Research and Innovation Centre (BRIC), Department of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; DanStem, University of Copenhagen, Copenhagen
| | - Kirsten Grønbæk
- Department of Hematology, Rigshospitalet, Copenhagen, Denmark; Biotech Research and Innovation Centre (BRIC), Department of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; DanStem, University of Copenhagen, Copenhagen.
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14
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Palomo L, Acha P, Solé F. Genetic Aspects of Myelodysplastic/Myeloproliferative Neoplasms. Cancers (Basel) 2021; 13:cancers13092120. [PMID: 33925681 PMCID: PMC8124412 DOI: 10.3390/cancers13092120] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 04/21/2021] [Accepted: 04/23/2021] [Indexed: 12/19/2022] Open
Abstract
Simple Summary Myelodysplastic/myeloproliferative neoplasms (MDS/MPN) are clonal myeloid neoplasms characterized, at the time of their presentation, by the simultaneous presence of both myelodysplastic and myeloproliferative features. In MDS/MPN, the karyotype is often normal but mutations in genes that are common across myeloid neoplasms can be detected in a high proportion of cases by targeted sequencing. In this review, we intend to summarize the main genetic findings across all MDS/MPN overlap syndromes and discuss their relevance in the management of patients. Abstract Myelodysplastic/myeloproliferative neoplasms (MDS/MPN) are myeloid neoplasms characterized by the presentation of overlapping features from both myelodysplastic syndromes and myeloproliferative neoplasms. Although the classification of MDS/MPN relies largely on clinical features and peripheral blood and bone marrow morphology, studies have demonstrated that a large proportion of patients (~90%) with this disease harbor somatic mutations in a group of genes that are common across myeloid neoplasms. These mutations play a role in the clinical heterogeneity of these diseases and their clinical evolution. Nevertheless, none of them is specific to MDS/MPN and current diagnostic criteria do not include molecular data. Even when such alterations can be helpful for differential diagnosis, they should not be used alone as proof of neoplasia because some of these mutations may also occur in healthy older people. Here, we intend to review the main genetic findings across all MDS/MPN overlap syndromes and discuss their relevance in the management of the patients.
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Affiliation(s)
- Laura Palomo
- MDS Group, Institut de Recerca Contra la Leucèmia Josep Carreras, ICO-Hospital Germans Trias i Pujol, Universitat Autònoma de Barcelona, 08916 Badalona, Spain; (L.P.); (P.A.)
- Experimental Hematology, Vall d’Hebron Institute of Oncology (VHIO), Vall d’Hebron Barcelona Hospital Campus, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain
| | - Pamela Acha
- MDS Group, Institut de Recerca Contra la Leucèmia Josep Carreras, ICO-Hospital Germans Trias i Pujol, Universitat Autònoma de Barcelona, 08916 Badalona, Spain; (L.P.); (P.A.)
| | - Francesc Solé
- MDS Group, Institut de Recerca Contra la Leucèmia Josep Carreras, ICO-Hospital Germans Trias i Pujol, Universitat Autònoma de Barcelona, 08916 Badalona, Spain; (L.P.); (P.A.)
- Correspondence: ; Tel.: +34-93-557-2806
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15
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A Single-Run Next-Generation Sequencing (NGS) Assay for the Simultaneous Detection of Both Gene Mutations and Large Chromosomal Abnormalities in Patients with Myelodysplastic Syndromes (MDS) and Related Myeloid Neoplasms. Cancers (Basel) 2021; 13:cancers13081947. [PMID: 33919541 PMCID: PMC8072643 DOI: 10.3390/cancers13081947] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 04/13/2021] [Accepted: 04/16/2021] [Indexed: 11/18/2022] Open
Abstract
Simple Summary Chromosomal abnormalities and somatic mutations are found in patients with myelodysplastic syndromes (MDS) and myelodysplastic/myeloproliferative neoplasms (MDS/MPN) in around 50–80% of cases. The identification of these alterations is important for the accurate diagnosis and prognostic classification of these patients. Often, an apparently normal or failed karyotype might lead to an inadequate estimation of the prognostic risk, and several strategies should be combined to solve these cases. The aim of this study was to introduce a novel next-generation sequencing (NGS)-based strategy for the simultaneous detection of all the clinically relevant genetic alterations associated with these disorders. We validated this approach on a large cohort of patients by comparing our findings with those obtained with standard-of-care methods (i.e., karyotype and SNP-arrays). We show that our platform represents a significant improvement on current strategies in defining diagnosis and risk stratification of patients with MDS and myeloid-related disorders. Abstract Myelodysplastic syndromes (MDS) and myelodysplastic/myeloproliferative neoplasms are clonal disorders that share most of their cytogenetic and molecular alterations. Despite the increased knowledge of the prognostic importance of genetics in these malignancies, next-generation sequencing (NGS) has not been incorporated into clinical practice in a validated manner, and the conventional karyotype remains mandatory in the evaluation of suspected cases. However, non-informative cytogenetics might lead to an inadequate estimation of the prognostic risk. Here, we present a novel targeted NGS-based assay for the simultaneous detection of all the clinically relevant genetic alterations associated with these disorders. We validated this platform in a large cohort of patients by performing a one-to-one comparison with the lesions from karyotype and single-nucleotide polymorphism (SNP) arrays. Our strategy demonstrated an approximately 97% concordance with standard clinical assays, showing sensitivity at least equivalent to that of SNP arrays and higher than that of conventional cytogenetics. In addition, this NGS assay was able to identify both copy-neutral loss of heterozygosity events distributed genome-wide and copy number alterations, as well as somatic mutations within significant driver genes. In summary, we show a novel NGS platform that represents a significant improvement to current strategies in defining diagnosis and risk stratification of patients with MDS and myeloid-related disorders.
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16
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Kim YJ, Jung SH, Hur EH, Choi EJ, Lee KH, Park HC, Kim HJ, Kwon YR, Park S, Lee SH, Chung YJ, Lee JH. Clinical implications of copy number alteration detection using panel-based next-generation sequencing data in myelodysplastic syndrome. Leuk Res 2021; 103:106540. [PMID: 33667811 DOI: 10.1016/j.leukres.2021.106540] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Revised: 02/11/2021] [Accepted: 02/16/2021] [Indexed: 01/24/2023]
Abstract
Recent advancements in next-generation sequencing (NGS) technologies allow the simultaneous identification of targeted copy number alterations (CNAs) as well as somatic mutations using the same panel-based NGS data. We investigated whether CNAs detected by the targeted NGS data provided additional clinical implications, over somatic mutations, in myelodysplastic syndrome (MDS). Targeted deep sequencing of 28 well-known MDS-related genes was performed for 266 patients with MDS. Overall, 215 (80.8 %) patients were found to have at least one somatic mutation; 67 (25.2 %) had at least one CNA; 227 (85.3 %) had either a somatic mutation or CNA; and 12 had CNA without somatic mutations. Considering the clinical variables and somatic mutations alone, multivariate analysis demonstrated that sex, revised International Prognostic Scoring System (IPSS-R), and NRAS and TP53 mutations were independent prognostic factors for overall survival. For AML-free survival, these factors were sex, IPSS-R, and mutations in NRAS, DNMT3A, and complex karyotype/TP53 mutations. When we consider clinical variables along with somatic mutations and CNAs, genetic alterations in TET2, LAMB4, U2AF1, and CBL showed additional significant impact on the survivals. In conclusion, our study suggests that the concurrent detection of somatic mutations and targeted CNAs may provide clinically useful information for the prognosis of MDS patients.
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Affiliation(s)
- Yoo-Jin Kim
- Department of Hematology, Seoul St. Mary's Hematology Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Seung-Hyun Jung
- Department of Biochemistry, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Eun-Hye Hur
- Department of Hematology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Eun-Ji Choi
- Department of Hematology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Kyoo-Hyung Lee
- Department of Hematology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea
| | - Hyeon-Chun Park
- Department of Pathology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Hye Joung Kim
- Department of Hematology, Seoul St. Mary's Hematology Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Yong-Rim Kwon
- Department of Hematology, Seoul St. Mary's Hematology Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Silvia Park
- Department of Hematology, Seoul St. Mary's Hematology Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Sug Hyung Lee
- Department of Pathology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Yeun-Jun Chung
- Integrated Research Center for Genome Polymorphism, Precision Medicine Research Center, Department of Microbiology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
| | - Je-Hwan Lee
- Department of Hematology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
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17
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Genomic variations in patients with myelodysplastic syndrome and karyotypes without numerical or structural changes. Sci Rep 2021; 11:2783. [PMID: 33531543 PMCID: PMC7854738 DOI: 10.1038/s41598-021-81467-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Accepted: 12/23/2020] [Indexed: 01/30/2023] Open
Abstract
Myelodysplastic syndrome (MDS) is an onco-hematologic disease with distinct levels of peripheral blood cytopenias, dysplasias in cell differentiation and various forms of chromosomal and cytogenomic alterations. In this study, the Chromosomal Microarray Analysis (CMA) was performed in patients with primary MDS without numerical and/or structural chromosomal alterations in karyotypes. A total of 17 patients was evaluated by GTG banding and eight patients showed no numerical and/or structural alterations. Then, the CMA was carried out and identified gains and losses CNVs and long continuous stretches of homozygosity (LCSHs). They were mapped on chromosomes 1, 2, 3, 4, 5, 6, 7, 9, 10, 12, 14, 16, 17, 18, 19, 20, 21, X, and Y. Ninety-one genes that have already been implicated in molecular pathways important for cell viability were selected and in-silico expression analyses demonstrated 28 genes differentially expressed in mesenchymal stromal cells of patients. Alterations in these genes may be related to the inactivation of suppressor genes or the activation of oncogenes contributing to the evolution and malignization of MDS. CMA provided additional information in patients without visible changes in the karyotype and our findings could contribute with additional information to improve the prognostic and personalized stratification for patients.
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18
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Leeksma AC, Baliakas P, Moysiadis T, Puiggros A, Plevova K, van der Kevie-Kersemaekers AM, Posthuma H, Rodriguez-Vicente AE, Tran AN, Barbany G, Mansouri L, Gunnarsson R, Parker H, van der Berg E, Bellido M, Davis Z, Wall M, Scarpelli I, Österborg A, Hansson L, Jarosova M, Ghia P, Poddighe P, Espinet B, Pospisilova S, Tam C, Ysebaert L, Nguyen-Khac F, Oscier D, Haferlach C, Schoumans J, Stevens-Kroef M, Eldering E, Stamatopoulos K, Rosenquist R, Strefford JC, Mellink C, Kater AP. Genomic arrays identify high-risk chronic lymphocytic leukemia with genomic complexity: a multi-center study. Haematologica 2021; 106:87-97. [PMID: 31974198 PMCID: PMC7776256 DOI: 10.3324/haematol.2019.239947] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Accepted: 01/22/2020] [Indexed: 01/15/2023] Open
Abstract
Complex karyotype (CK) identified by chromosome-banding analysis (CBA) has shown prognostic value in chronic lymphocytic leukemia (CLL). Genomic arrays offer high-resolution genome-wide detection of copy-number alterations (CNAs) and could therefore be well equipped to detect the presence of a CK. Current knowledge on genomic arrays in CLL is based on outcomes of single center studies, in which different cutoffs for CNA calling were used. To further determine the clinical utility of genomic arrays for CNA assessment in CLL diagnostics, we retrospectively analyzed 2293 arrays from 13 diagnostic laboratories according to established standards. CNAs were found outside regions captured by CLL FISH probes in 34% of patients, and several of them including gains of 8q, deletions of 9p and 18p (p<0.01) were linked to poor outcome after correction for multiple testing. Patients (n=972) could be divided in three distinct prognostic subgroups based on the number of CNAs. Only high genomic complexity (high-GC), defined as ≥5 CNAs emerged as an independent adverse prognosticator on multivariable analysis for time to first treatment (Hazard ratio: 2.15, 95% CI: 1.36-3.41; p=0.001) and overall survival (Hazard ratio: 2.54, 95% CI: 1.54-4.17; p<0.001; n=528). Lowering the size cutoff to 1 Mb in 647 patients did not significantly improve risk assessment. Genomic arrays detected more chromosomal abnormalities and performed at least as well in terms of risk stratification compared to simultaneous chromosome banding analysis as determined in 122 patients. Our findings highlight genomic array as an accurate tool for CLL risk stratification.
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Affiliation(s)
- Alexander C. Leeksma
- Department of Hematology and Lymphoma and Myeloma Center Amsterdam (LYMMCARE), Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
- Department of Experimental Immunology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
- Cancer Center Amsterdam and Amsterdam Infection and Immunity Institute, Amsterdam, the Netherlands
| | - Panagiotis Baliakas
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Theodoros Moysiadis
- Institute of Applied Biosciences, Center for Research and Technology Hellas, Thessaloniki, Greece
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Anna Puiggros
- Laboratori de Citogenetica Molecular, Servei de Patologia, Hospital del Mar, Barcelona, Spain
- Grup de Recerca Translacional en Neoplasies Hematologiques, Programa de Recerca en Cancer, Institut Hospital del Mar d’Investigacions Mediques (IMIM), Barcelona, Spain
| | - Karla Plevova
- Department of Internal Medicine Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic
| | | | - Hidde Posthuma
- Department of Clinical Genetics, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
| | - Ana E. Rodriguez-Vicente
- Department of Hematology, IBSAL, IBMCC, University of Salamanca, CSIC, Cancer Research Center, University Hospital of Salamanca, Salamanca, Spain
| | - Anh Nhi Tran
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Gisela Barbany
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Larry Mansouri
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Rebeqa Gunnarsson
- Division of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - Helen Parker
- Cancer Genomics, Academic Unit of Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Eva van der Berg
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Mar Bellido
- Department of Hematology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Zadie Davis
- Department of Molecular Pathology, Royal Bournemouth Hospital, Bournemouth, UK
| | - Meaghan Wall
- Cytogenetics Department, St Vincent Hospital, Melbourne, Victoria, Australia
| | - Ilaria Scarpelli
- Oncogenomic Laboratory, Department of Hematology, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Anders Österborg
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
- Department of Hematology, Karolinska University Hospital, Stockholm, Sweden
| | - Lotta Hansson
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
- Department of Hematology, Karolinska University Hospital, Stockholm, Sweden
| | - Marie Jarosova
- Department of Internal Medicine Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic
| | - Paolo Ghia
- Division of Experimental Oncology, IRCCS Ospedale San Raffaele e Universita Vita-Salute San Raffaele, Milan, Italy
| | - Pino Poddighe
- Department of Clinical Genetics, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, the Netherlands
| | - Blanca Espinet
- Laboratori de Citogenetica Molecular, Servei de Patologia, Hospital del Mar, Barcelona, Spain
- Grup de Recerca Translacional en Neoplasies Hematologiques, Programa de Recerca en Cancer, Institut Hospital del Mar d’Investigacions Mediques (IMIM), Barcelona, Spain
| | - Sarka Pospisilova
- Department of Internal Medicine Hematology and Oncology, University Hospital Brno and Faculty of Medicine, Masaryk University, Brno, Czech Republic
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic
| | - Constantine Tam
- Department of Haematology, St Vincent Hospital Melbourne and Peter MacCallum Cancer Center; University of Melbourne, Melbourne, Victoria, Australia
| | - Loïc Ysebaert
- Institut Universitaire du Cancer de Toulouse-Oncopole, Toulouse, France
| | - Florence Nguyen-Khac
- INSERM U1138; Universite Pierre et Marie Curie-Paris; Service d'Hematologie Biologique, Hopital Pitie-Salpetriere, APHP, Paris, France
| | - David Oscier
- Department of Molecular Pathology, Royal Bournemouth Hospital, Bournemouth, UK
| | | | - Jacqueline Schoumans
- Oncogenomic Laboratory, Department of Hematology, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Marian Stevens-Kroef
- Radboud University Medical Center, Department of Human Genetics, Nijmegen, the Netherlands
| | - Eric Eldering
- Department of Experimental Immunology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
- Cancer Center Amsterdam and Amsterdam Infection and Immunity Institute, Amsterdam, the Netherlands
| | - Kostas Stamatopoulos
- Institute of Applied Biosciences, Center for Research and Technology Hellas, Thessaloniki, Greece
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Richard Rosenquist
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Jonathan C. Strefford
- Cancer Genomics, Academic Unit of Cancer Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Clemens Mellink
- Department of Clinical Genetics, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
| | - Arnon P. Kater
- Department of Hematology and Lymphoma and Myeloma Center Amsterdam (LYMMCARE), Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
- Cancer Center Amsterdam and Amsterdam Infection and Immunity Institute, Amsterdam, the Netherlands
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19
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Ronaghy A, Yang RK, Khoury JD, Kanagal-Shamanna R. Clinical Applications of Chromosomal Microarray Testing in Myeloid Malignancies. Curr Hematol Malig Rep 2020; 15:194-202. [PMID: 32382988 DOI: 10.1007/s11899-020-00578-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
PURPOSE OF REVIEW Knowledge of both somatic mutations and copy number aberrations are important for the understanding of cancer pathogenesis and management of myeloid neoplasms. The currently available standard of care technologies for copy number assessment such as conventional karyotype and FISH are either limited by low resolution or restriction to targeted assessment. RECENT FINDINGS Chromosomal microarray (CMA) is effective in characterization of chromosomal and gene aberrations of diagnostic, prognostic, and therapeutic significance at a higher resolution than conventional karyotyping. These results are complementary to NGS mutation studies. Copy-neutral loss of heterozygosity (CN-LOH), which is prognostic in AML, is currently only identified by CMA. Yet, despite the widespread availability, CMA testing is not routinely performed in diagnostic laboratories due to lack of knowledge on best-testing practices for clinical work-up of myeloid neoplasms. In this review, we provide an overview of the clinical significance of CMA in acute myeloid leukemia (AML), myelodysplastic syndromes (MDS), and myelodysplastic/myeloproliferative neoplasms (MDS/MPN). We will also elaborate the specific clinical scenarios where CMA can provide additional information essential for management and could potentially alter treatment. Chromosomal microarray (CMA) is an effective technology for characterizing chromosomal copy number changes and copy-neutral loss of heterozygosity of diagnostic, prognostic, and therapeutic significance at a high resolution in myeloid malignancies.
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MESH Headings
- Chromosome Aberrations
- Chromosomes, Human
- Comparative Genomic Hybridization
- DNA Copy Number Variations
- Genetic Predisposition to Disease
- High-Throughput Nucleotide Sequencing
- Humans
- Leukemia, Myeloid, Acute/diagnosis
- Leukemia, Myeloid, Acute/genetics
- Leukemia, Myelomonocytic, Chronic/diagnosis
- Leukemia, Myelomonocytic, Chronic/genetics
- Loss of Heterozygosity
- Microarray Analysis
- Myelodysplastic Syndromes/diagnosis
- Myelodysplastic Syndromes/genetics
- Polymorphism, Single Nucleotide
- Predictive Value of Tests
- Prognosis
- Reproducibility of Results
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Affiliation(s)
- Arash Ronaghy
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd. Unit 072, Houston, TX, 77030, USA
| | - Richard K Yang
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd. Unit 072, Houston, TX, 77030, USA
| | - Joseph D Khoury
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd. Unit 072, Houston, TX, 77030, USA
| | - Rashmi Kanagal-Shamanna
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd. Unit 072, Houston, TX, 77030, USA.
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20
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Smith SC, Farooqi MS, Gener MA, Ginn K, Joyce JM, Bendorf TM, Cooley LD. Clinical Validation of Somatic Mutation Detection by the OncoScan CNV Plus Assay. J Mol Diagn 2020; 23:29-37. [PMID: 33080408 DOI: 10.1016/j.jmoldx.2020.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 09/02/2020] [Accepted: 10/05/2020] [Indexed: 11/30/2022] Open
Abstract
The OncoScan CNV Plus Assay (OS+) is a single-nucleotide polymorphism microarray platform that can detect 74 hotspot somatic mutations (SMs) in nine genes via molecular inversion probes. We report validation of the SM component of OS+ using a cohort of pediatric high-grade brain tumor specimens. SM calls were generated from 46 brain tumor cases, most tested orthogonally via bidirectional Sanger sequencing. The initial calling algorithm result showed that 31 tumors were positive and 15 were negative for SM, with a total of 71 OS+ SM calls [28 high-confidence (HC) and 43 low-confidence (LC)]. Sanger sequencing was performed for 54 of the 71 calls (27 HC and 27 LC), as well as for 21 randomly selected hotspots across the 15 OS+ negative cases. HC calls (except EGFR) Sanger sequencing confirmed positive, negative calls confirmed negative, but none of the LC calls were Sanger-confirmed positive. An update of the OS+ algorithm resolved the LC calls, but of the 11 HC SM EGFR calls, Sanger sequencing confirmed only one. Two PTEN SM calls by OS+ in two separate cases were also negative per Sanger sequencing. We conclude that a majority of HC OS+ SM calls were accurate, except calls identified in EGFR and PTEN. Clinically, we report SMs identified by OS+ only after Sanger sequencing verification.
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Affiliation(s)
- Scott C Smith
- Department of Pathology & Laboratory Medicine, Children's Mercy Hospital, Kansas City, Missouri; Department of Pathology & Laboratory Medicine, SUNY Upstate Medical University, Syracuse, New York
| | - Midhat S Farooqi
- Department of Pathology & Laboratory Medicine, Children's Mercy Hospital, Kansas City, Missouri; Department of Pathology & Laboratory Medicine, University of Missouri-Kansas City School of Medicine, Kansas City, Missouri
| | - Melissa A Gener
- Department of Pathology & Laboratory Medicine, Children's Mercy Hospital, Kansas City, Missouri; Department of Pathology & Laboratory Medicine, University of Missouri-Kansas City School of Medicine, Kansas City, Missouri
| | - Kevin Ginn
- Department of Pathology & Laboratory Medicine, Children's Mercy Hospital, Kansas City, Missouri; Department of Pathology & Laboratory Medicine, University of Missouri-Kansas City School of Medicine, Kansas City, Missouri
| | - Julie M Joyce
- Department of Pathology & Laboratory Medicine, Children's Mercy Hospital, Kansas City, Missouri; Department of Pathology & Laboratory Medicine, University of Missouri-Kansas City School of Medicine, Kansas City, Missouri
| | - Tara M Bendorf
- Department of Pathology & Laboratory Medicine, Children's Mercy Hospital, Kansas City, Missouri; Department of Pathology & Laboratory Medicine, University of Missouri-Kansas City School of Medicine, Kansas City, Missouri
| | - Linda D Cooley
- Department of Pathology & Laboratory Medicine, Children's Mercy Hospital, Kansas City, Missouri; Department of Pathology & Laboratory Medicine, University of Missouri-Kansas City School of Medicine, Kansas City, Missouri.
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21
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Snider JS, Znoyko I, Lindsey KG, Morse J, Baughn LB, Hoppman NL, Pitel BA, Pearce KE, Schandl CA, Wolff DJ. Integrated genomic analysis using chromosomal microarray, fluorescence in situ hybridization and mate pair analyses: Characterization of a cryptic t(9;22)(p24.1;q11.2)/BCR-JAK2 in myeloid/lymphoid neoplasm with eosinophilia. Cancer Genet 2020; 246-247:44-47. [PMID: 32827877 DOI: 10.1016/j.cancergen.2020.08.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 06/10/2020] [Accepted: 08/03/2020] [Indexed: 12/17/2022]
Abstract
The 2016 World Health Organization entity 'Myeloid/lymphoid neoplasms with eosinophilia and rearrangement of PDGFRA, PDGFRB or FGFR1, or with PCM1-JAK2' encompasses a group of rare neoplasms that result from the formation of a fusion gene that leads to expression of an aberrant tyrosine kinase. This entity also contains variant JAK2 fusion partners, and detection of this defining event can be facilitated by various cytogenetic and molecular methods. Cryptic rearrangements of 9p24/JAK2 can be particularly challenging to identify. We describe the use of chromosomal microarray analysis (CMA), fluorescence in situ hybridization (FISH) with a probe for JAK2, and genomic mate pair analysis to describe a complex karyotype with a t(9;22) that produced a functional BCR-JAK2 fusion, leading to the appropriate diagnosis for the patient. This case highlights the importance of using an integrated genomic approach to fully define complex aberrations to assign proper diagnoses.
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Affiliation(s)
- Jessica S Snider
- Medical University of South Carolina, Department of Pathology and Laboratory Medicine, 165 Ashley Ave, MSC 908, Charleston, SC 29425, United States.
| | - Iya Znoyko
- Medical University of South Carolina, Department of Pathology and Laboratory Medicine, 165 Ashley Ave, MSC 908, Charleston, SC 29425, United States.
| | - Kathryn G Lindsey
- Medical University of South Carolina, Department of Pathology and Laboratory Medicine, 165 Ashley Ave, MSC 908, Charleston, SC 29425, United States.
| | - Jennifer Morse
- Medical University of South Carolina, Department of Pathology and Laboratory Medicine, 165 Ashley Ave, MSC 908, Charleston, SC 29425, United States.
| | - Linda B Baughn
- Mayo Clinic, Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, 200 1st St SW, Rochester, MN 55905, United States.
| | - Nicole L Hoppman
- Mayo Clinic, Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, 200 1st St SW, Rochester, MN 55905, United States.
| | - Beth A Pitel
- Mayo Clinic, Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, 200 1st St SW, Rochester, MN 55905, United States.
| | - Kathryn E Pearce
- Mayo Clinic, Division of Laboratory Genetics, Department of Laboratory Medicine and Pathology, 200 1st St SW, Rochester, MN 55905, United States.
| | - Cynthia A Schandl
- Medical University of South Carolina, Department of Pathology and Laboratory Medicine, 165 Ashley Ave, MSC 908, Charleston, SC 29425, United States.
| | - Daynna J Wolff
- Medical University of South Carolina, Department of Pathology and Laboratory Medicine, 165 Ashley Ave, MSC 908, Charleston, SC 29425, United States.
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22
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Miron PM, Fang M. The evolving clinical testing landscape of genomic aberrations in solid tumors and hematological malignancies - Insights from evidence-based reviews for B-ALL and breast, brain, and renal cell neoplasia. Cancer Genet 2020; 244:60-61. [PMID: 32473557 DOI: 10.1016/j.cancergen.2020.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Affiliation(s)
- Patricia M Miron
- UMassMemorial Medical Center, Worcester, MA, USA; Quest Diagnostics, Marlborough, MA, USA
| | - Min Fang
- Fred Hutchinson Cancer Research Center and University of Washington, Seattle, WA, USA
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23
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CHEN D, QI M. [Research progress on uniparental disomy in cancer]. Zhejiang Da Xue Xue Bao Yi Xue Ban 2019; 48:560-566. [PMID: 31901032 PMCID: PMC8800777 DOI: 10.3785/j.issn.1008-9292.2019.10.15] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Accepted: 05/17/2019] [Indexed: 06/10/2023]
Abstract
Uniparental disomy (UPD) refers to a chromosome defect that an individual's homologous chromosome or segments are inherited from one parent. UPD can cause either aberrant patterns of genomic imprinting or homozygosity of mutations, leading to various diseases, including cancer. The mechanisms of UPD formation are diverse but largely due to the incorrect chromosome separation during cell division. UPD does not alter the number of gene copies, thus is difficult to be detected by conventional cytogenetic techniques effectively. Assisted by the new techniques such as single nucleotide polymorphism arrays, more and more UPD-related cases have been reported recently. UPD events are non-randomly distributed across cancer types, which play important role in the occurrence, development and metastasis of cancer. Here we review the research progress on the formation mechanisms, detection methods, the involved chromosomal regions and genes, and clinical significance of UPD; and also discuss the directions for future studies in this field.
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Affiliation(s)
| | - Ming QI
- 祁鸣(1957-), 男, 博士, 教授, 博士生导师, 主要从事遗传与基因组医学研究; E-mail:
;
https://orcid.org/0000-0002-8421-6727
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24
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Technical laboratory standards for interpretation and reporting of acquired copy-number abnormalities and copy-neutral loss of heterozygosity in neoplastic disorders: a joint consensus recommendation from the American College of Medical Genetics and Genomics (ACMG) and the Cancer Genomics Consortium (CGC). Genet Med 2019; 21:1903-1916. [PMID: 31138931 DOI: 10.1038/s41436-019-0545-7] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Accepted: 05/05/2019] [Indexed: 12/11/2022] Open
Abstract
The detection of acquired copy-number abnormalities (CNAs) and copy-neutral loss of heterozygosity (CN-LOH) in neoplastic disorders by chromosomal microarray analysis (CMA) has significantly increased over the past few years with respect to both the number of laboratories utilizing this technology and the broader number of tumor types being assayed. This highlights the importance of standardizing the interpretation and reporting of acquired variants among laboratories. To address this need, a clinical laboratory-focused workgroup was established to draft recommendations for the interpretation and reporting of acquired CNAs and CN-LOH in neoplastic disorders. This project is a collaboration between the American College of Medical Genetics and Genomics (ACMG) and the Cancer Genomics Consortium (CGC). The recommendations put forth by the workgroup are based on literature review, empirical data, and expert consensus of the workgroup members. A four-tier evidence-based categorization system for acquired CNAs and CN-LOH was developed, which is based on the level of available evidence regarding their diagnostic, prognostic, and therapeutic relevance: tier 1, variants with strong clinical significance; tier 2, variants with some clinical significance; tier 3, clonal variants with no documented neoplastic disease association; and tier 4, benign or likely benign variants. These recommendations also provide a list of standardized definitions of terms used in the reporting of CMA findings, as well as a framework for the clinical reporting of acquired CNAs and CN-LOH, and recommendations for how to deal with suspected clinically significant germline variants.
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