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Pandian J, Ganesan K. Delineation of gastric tumors with activated ERK/MAPK signaling cascades for the development of targeted therapeutics. Exp Cell Res 2022; 410:112956. [PMID: 34864005 DOI: 10.1016/j.yexcr.2021.112956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 11/05/2021] [Accepted: 12/01/2021] [Indexed: 11/04/2022]
Abstract
The ERK/MAPK signaling pathway is activated in various cancers including gastric cancer. Targeting the ERK/MAPK/MEK pathway has been considered as a promising strategy for cancer therapy. However, MEK inhibition leads to a series of resistance mechanisms due to mutations in MEK, elevated expression of RAS or RAF proteins and activation of the associated signaling pathways. In the present study, ERK/MAPK pathway specific gene signatures were identified to be highly activated in intestinal subtype gastric tumors. Inhibition of ERK/MAPK pathway with the inhibitor PD98059 in gastric cancer cell lines by in vitro signaling pathway and genome-wide expression profiling revealed the associated signaling pathways. Functional genomic investigation of the ERK/MAPK regulated genes reveals the association of ERK/MAPK pathway with E2F, Myc, SOX-2, TGF-β, OCT4 and Notch pathways in gastric cancer cells. Of these, E2F, Myc and SOX-2 pathways are activated in intestinal subtype gastric tumors and TGF-β, OCT4, Notch pathways are activated in diffuse subtype gastric tumors. Further, the mutational load of gastric tumors was found to have association and correlation with the activation pattern of ERK/MAPK pathways across gastric tumors. ERK/MAPK activation was also found to represent the EBV and MSI activated subtypes of gastric tumors. Identification of potent drug candidates inhibiting the ERK/MAPK and associated pathways would pave a way for developing the targeted therapeutics for a subset of gastric tumors with activated ERK/MAPK signaling cascade.
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Affiliation(s)
- Jaishree Pandian
- Unit of Excellence in Cancer Genetics, Department of Genetics, Centre for Excellence in Genomic Sciences, School of Biological Sciences, Madurai Kamaraj University, Madurai, India.
| | - Kumaresan Ganesan
- Unit of Excellence in Cancer Genetics, Department of Genetics, Centre for Excellence in Genomic Sciences, School of Biological Sciences, Madurai Kamaraj University, Madurai, India.
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2
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Olsson L, Lundin-Ström KB, Castor A, Behrendtz M, Biloglav A, Norén-Nyström U, Paulsson K, Johansson B. Improved cytogenetic characterization and risk stratification of pediatric acute lymphoblastic leukemia using single nucleotide polymorphism array analysis: A single center experience of 296 cases. Genes Chromosomes Cancer 2018; 57:604-607. [PMID: 30203896 DOI: 10.1002/gcc.22664] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Revised: 06/14/2018] [Accepted: 06/18/2018] [Indexed: 01/21/2023] Open
Abstract
Single nucleotide polymorphism array (SNP-A) analyses are increasingly being introduced in routine genetic diagnostics of acute lymphoblastic leukemia (ALL). Despite this, only few studies that have compared the diagnostic value of SNP-A with conventional chromosome banding have been published. We here report such a comparison of 296 ALL cases, the largest series to date. Only genomic imbalances >5 Mb and microdeletions targeting the BTG1, CDKN2A/B, EBF1, ERG, ETV6, IKZF1, PAX5, and RB1 genes and the pseudoautosomal region 1 (PAR1) were ascertained, in agreement with recent guidelines. Of 36 T-cell ALL cases, the karyotypes of 24 cases (67%) were revised by SNP-A analyses that either revealed additional imbalances >5 Mb or better characterized the changes found by G-banding. Of 260 B-cell precursor (BCP) ALL cases, SNP-A analyses identified additional copy number alterations, including the above-mentioned microdeletions, or better characterized the imbalances found by G-banding in 236 (91%) cases. Furthermore, the cytogenetic subtype classification of 41/260 (16%) BCP ALL cases was revised based on the SNP-A findings. Of the subtype revisions, 12/41 (29%) had clinical implications as regards risk stratifying cytogenetic groups or genotype-specific minimal residual disease stratification. We conclude that SNP-A analyses dramatically improve the cytogenetic characterization of both T-cell and BCP ALL and also provide important information pertinent to risk stratification of BCP ALL.
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Affiliation(s)
- Linda Olsson
- Department of Clinical Genetics and Pathology, Office for Medical Services, Division of Laboratory Medicine, Lund, Sweden
| | - Kristina B Lundin-Ström
- Division of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - Anders Castor
- Department of Pediatrics, Skåne University Hospital, Lund, Sweden
| | - Mikael Behrendtz
- Department of Pediatrics, Linköping University Hospital, Linköping, Sweden
| | - Andrea Biloglav
- Division of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund, Sweden
| | | | - Kajsa Paulsson
- Division of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - Bertil Johansson
- Department of Clinical Genetics and Pathology, Office for Medical Services, Division of Laboratory Medicine, Lund, Sweden.,Division of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund, Sweden
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3
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da Silva-Coelho P, Kroeze LI, Yoshida K, Koorenhof-Scheele TN, Knops R, van de Locht LT, de Graaf AO, Massop M, Sandmann S, Dugas M, Stevens-Kroef MJ, Cermak J, Shiraishi Y, Chiba K, Tanaka H, Miyano S, de Witte T, Blijlevens NMA, Muus P, Huls G, van der Reijden BA, Ogawa S, Jansen JH. Clonal evolution in myelodysplastic syndromes. Nat Commun 2017; 8:15099. [PMID: 28429724 PMCID: PMC5530598 DOI: 10.1038/ncomms15099] [Citation(s) in RCA: 104] [Impact Index Per Article: 14.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2016] [Accepted: 02/24/2017] [Indexed: 02/08/2023] Open
Abstract
Cancer development is a dynamic process during which the successive accumulation of mutations results in cells with increasingly malignant characteristics. Here, we show the clonal evolution pattern in myelodysplastic syndrome (MDS) patients receiving supportive care, with or without lenalidomide (follow-up 2.5–11 years). Whole-exome and targeted deep sequencing at multiple time points during the disease course reveals that both linear and branched evolutionary patterns occur with and without disease-modifying treatment. The application of disease-modifying therapy may create an evolutionary bottleneck after which more complex MDS, but also unrelated clones of haematopoietic cells, may emerge. In addition, subclones that acquired an additional mutation associated with treatment resistance (TP53) or disease progression (NRAS, KRAS) may be detected months before clinical changes become apparent. Monitoring the genetic landscape during the disease may help to guide treatment decisions. Myelodysplastic syndromes are a broad group of haematopoietic malignancies that often progress to acute myeloid leukaemia. Here, the authors show that linear and branched evolution occurs within myelodysplastic syndrome and these patterns can be impacted by treatment.
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Affiliation(s)
- Pedro da Silva-Coelho
- Laboratory of Hematology, Radboud University Medical Center, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, The Netherlands.,Department of Haematology, Centro Hospitalar de São João and Faculdade de Medicina da Universidade do Porto, Alameda Professor Hernâni Monteiro, Porto 4200-319, Portugal
| | - Leonie I Kroeze
- Laboratory of Hematology, Radboud University Medical Center, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, The Netherlands
| | - Kenichi Yoshida
- Department of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Yoshida-Konoe-cho, Sakyo-ku, Kyoto-shi, Kyoto 606-8501, Japan
| | - Theresia N Koorenhof-Scheele
- Laboratory of Hematology, Radboud University Medical Center, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, The Netherlands
| | - Ruth Knops
- Laboratory of Hematology, Radboud University Medical Center, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, The Netherlands
| | - Louis T van de Locht
- Laboratory of Hematology, Radboud University Medical Center, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, The Netherlands
| | - Aniek O de Graaf
- Laboratory of Hematology, Radboud University Medical Center, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, The Netherlands
| | - Marion Massop
- Laboratory of Hematology, Radboud University Medical Center, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, The Netherlands
| | - Sarah Sandmann
- Institute of Medical Informatics, University of Münster, Albert-Schweitzer-Campus 1, 48149 Münster, Germany
| | - Martin Dugas
- Institute of Medical Informatics, University of Münster, Albert-Schweitzer-Campus 1, 48149 Münster, Germany
| | - Marian J Stevens-Kroef
- Department of Human Genetics, Radboud University Medical Center, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, The Netherlands
| | - Jaroslav Cermak
- Institute of Hematology and Blood Transfusion, U Nemocnice 1, 128 20 Prague 2, Czech Republic
| | - Yuichi Shiraishi
- Human Genome Center, Institute of Medical Science, The University of Tokyo, 4-6-1, Shirokanedai, Minato-ku, Tokyo 108-8639 Japan
| | - Kenichi Chiba
- Human Genome Center, Institute of Medical Science, The University of Tokyo, 4-6-1, Shirokanedai, Minato-ku, Tokyo 108-8639 Japan
| | - Hiroko Tanaka
- Human Genome Center, Institute of Medical Science, The University of Tokyo, 4-6-1, Shirokanedai, Minato-ku, Tokyo 108-8639 Japan
| | - Satoru Miyano
- Human Genome Center, Institute of Medical Science, The University of Tokyo, 4-6-1, Shirokanedai, Minato-ku, Tokyo 108-8639 Japan
| | - Theo de Witte
- Department of Tumor Immunology, Radboud University Medical Center, Radboud Institute for Molecular Life Sciences, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, The Netherlands
| | - Nicole M A Blijlevens
- Department of Hematology, Radboud University Medical Center, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, The Netherlands
| | - Petra Muus
- Department of Hematology, Radboud University Medical Center, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, The Netherlands
| | - Gerwin Huls
- Department of Hematology, Radboud University Medical Center, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, The Netherlands.,Department of Hematology, University Medical Centre Groningen, PO Box 30001, 9700 RB Groningen, The Netherlands
| | - Bert A van der Reijden
- Laboratory of Hematology, Radboud University Medical Center, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, The Netherlands
| | - Seishi Ogawa
- Department of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Yoshida-Konoe-cho, Sakyo-ku, Kyoto-shi, Kyoto 606-8501, Japan
| | - Joop H Jansen
- Laboratory of Hematology, Radboud University Medical Center, Geert Grooteplein Zuid 8, 6525 GA Nijmegen, The Netherlands
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4
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Kjeldsen E. Characterization of a novel acquired der(1)del(1)(p13p31)t(1;15)(q42;q15) in a high risk t(12;21)-positive acute lymphoblastic leukemia. Gene 2016; 595:39-48. [PMID: 27664585 DOI: 10.1016/j.gene.2016.09.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2016] [Revised: 09/15/2016] [Accepted: 09/20/2016] [Indexed: 11/30/2022]
Abstract
The t(12;21)(p13;q22) with ETV6-RUNX1 fusion occurs in 25% of cases of B-cell precursor acute lymphoblastic leukemia (BCP-ALL); and is generally associated with favorable prognosis. However, 15-20% of the t(12;21)-positive cases are associated with high-risk disease due to for example slow early responses to therapy. It is well-known that development of overt leukemia in t(12;21)-positive ALL requires secondary chromosomal aberrations although the full spectrum of these cytogenetic alterations is yet unsettled, and also, how they may be associated with disease outcome. This report describes the case of an adolescent male with t(12;21)-positive ALL who displayed a G-banded karyotype initially interpreted as del(1)(p22p13) and del(15)(q15). The patient was treated according to NOPHO standard risk protocol at diagnosis, but had minimal residual disease (MRD) at 6,4% on day 29 as determined by flow cytometric immunophenotyping. Because of MRD level>0.1% he was then assigned as a high risk patient and received intensified chemotherapy accordingly. Further molecular cytogenetic studies and oligo-based aCGH (oaCGH) analysis characterized the acquired complex structural rearrangements on chromosomes 1 and 15, which can be described as der(1)del(1)(p13.1p31.1)t(1;15)(q42;q15) with concurrent deletions at 1q31.2-q31.3, 1q42.12-q43, and 15q15.1-q15.3. The unbalanced complex rearrangements have not been described previously. Extended locus-specific FISH analyses showed that the three deletions were on the same chromosome 1 homologue that was involved in the t(1;15), and that the deletion on chromosome 15 also was on the same chromosome 15 homologue as involved in the t(1;15). Together these findings show the great importance of the combined usage of molecular cytogenetic analyses and oaCGH analysis to enhance characterization of apparently simple G-banded karyotypes, and to provide a more complete spectrum of secondary chromosomal aberrations in high risk t(12;21)-positive BCP-ALLs.
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Affiliation(s)
- Eigil Kjeldsen
- Hemodiagnostic Laboratory, Cancer Cytogenetics Section, Department of Hematology, Aarhus University Hospital, Tage-Hansens Gade 2, DK-8000 Aarhus C, Denmark.
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5
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Mikhail FM, Heerema NA, Rao KW, Burnside RD, Cherry AM, Cooley LD. Section E6.1-6.4 of the ACMG technical standards and guidelines: chromosome studies of neoplastic blood and bone marrow-acquired chromosomal abnormalities. Genet Med 2016; 18:635-42. [PMID: 27124785 DOI: 10.1038/gim.2016.50] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2016] [Accepted: 03/01/2016] [Indexed: 12/30/2022] Open
Abstract
DISCLAIMER These American College of Medical Genetics and Genomics standards and guidelines are developed primarily as an educational resource for clinical laboratory geneticists to help them provide quality clinical laboratory genetic services. Adherence to these standards and guidelines is voluntary and does not necessarily ensure a successful medical outcome. These standards and guidelines should not be considered inclusive of all proper procedures and tests or exclusive of other procedures and tests that are reasonably directed to obtaining the same results. In determining the propriety of any specific procedure or test, the clinical laboratory geneticist should apply his or her own professional judgment to the specific circumstances presented by the individual patient or specimen. Clinical laboratory geneticists are encouraged to document in the patient's record the rationale for the use of a particular procedure or test, whether or not it is in conformance with these standards and guidelines. They also are advised to take notice of the date any particular guideline was adopted, and to consider other relevant medical and scientific information that becomes available after that date. It also would be prudent to consider whether intellectual property interests may restrict the performance of certain tests and other procedures.Cytogenetic analyses of hematological neoplasms are performed to detect and characterize clonal chromosomal abnormalities that have important diagnostic, prognostic, and therapeutic implications. At the time of diagnosis, cytogenetic abnormalities assist in the diagnosis of such disorders and can provide important prognostic information. At the time of relapse, cytogenetic analysis can be used to confirm recurrence of the original neoplasm, detect clonal disease evolution, or uncover a new unrelated neoplastic process. This section deals specifically with the standards and guidelines applicable to chromosome studies of neoplastic blood and bone marrow-acquired chromosomal abnormalities. This updated Section E6.1-6.4 has been incorporated into and supersedes the previous Section E6 in Section E: Clinical Cytogenetics of the 2009 Edition (Revised 01/2010), American College of Medical Genetics and Genomics Standards and Guidelines for Clinical Genetics Laboratories.Genet Med 18 6, 635-642.
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Affiliation(s)
- Fady M Mikhail
- Department of Genetics, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Nyla A Heerema
- Department of Pathology, The Ohio State University, Columbus, Ohio, USA
| | - Kathleen W Rao
- Department of Pediatrics, University of North Carolina, Chapel Hill, North Carolina, USA.,Department of Pathology, University of North Carolina, Chapel Hill, North Carolina, USA.,Deceased
| | - Rachel D Burnside
- Laboratory Corporation of America Holdings, Center for Molecular Biology and Pathology, Research Triangle Park, North Carolina, USA
| | - Athena M Cherry
- Department of Pathology, Stanford University School of Medicine, Stanford, California, USA
| | - Linda D Cooley
- Department of Pathology and Laboratory Medicine, Children's Mercy Hospital, University of Missouri Kansas City Medical School, Kansas City, Missouri, USA
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6
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Forero-Castro M, Robledo C, Benito R, Abáigar M, África Martín A, Arefi M, Fuster JL, de las Heras N, Rodríguez JN, Quintero J, Riesco S, Hermosín L, de la Fuente I, Recio I, Ribera J, Labrador J, Alonso JM, Olivier C, Sierra M, Megido M, Corchete-Sánchez LA, Ciudad Pizarro J, García JL, Ribera JM, Hernández-Rivas JM. Genome-Wide DNA Copy Number Analysis of Acute Lymphoblastic Leukemia Identifies New Genetic Markers Associated with Clinical Outcome. PLoS One 2016; 11:e0148972. [PMID: 26872047 PMCID: PMC4752220 DOI: 10.1371/journal.pone.0148972] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2015] [Accepted: 01/26/2016] [Indexed: 01/13/2023] Open
Abstract
Identifying additional genetic alterations associated with poor prognosis in acute lymphoblastic leukemia (ALL) is still a challenge. Aims: To characterize the presence of additional DNA copy number alterations (CNAs) in children and adults with ALL by whole-genome oligonucleotide array (aCGH) analysis, and to identify their associations with clinical features and outcome. Array-CGH was carried out in 265 newly diagnosed ALLs (142 children and 123 adults). The NimbleGen CGH 12x135K array (Roche) was used to analyze genetic gains and losses. CNAs were analyzed with GISTIC and aCGHweb software. Clinical and biological variables were analyzed. Three of the patients showed chromothripsis (cth6, cth14q and cth15q). CNAs were associated with age, phenotype, genetic subtype and overall survival (OS). In the whole cohort of children, the losses on 14q32.33 (p = 0.019) and 15q13.2 (p = 0.04) were related to shorter OS. In the group of children without good- or poor-risk cytogenetics, the gain on 1p36.11 was a prognostic marker independently associated with shorter OS. In adults, the gains on 19q13.2 (p = 0.001) and Xp21.1 (p = 0.029), and the loss of 17p (p = 0.014) were independent markers of poor prognosis with respect to OS. In summary, CNAs are frequent in ALL and are associated with clinical parameters and survival. Genome-wide DNA copy number analysis allows the identification of genetic markers that predict clinical outcome, suggesting that detection of these genetic lesions will be useful in the management of patients newly diagnosed with ALL.
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Affiliation(s)
- Maribel Forero-Castro
- IBSAL, IBMCC, University of Salamanca, CSIC, Cancer Research Center, Salamanca, Spain
- School of Biological Sciences (GEBIMOL), Pedagogical and Technological University of Colombia (UPTC), Tunja, Colombia
| | - Cristina Robledo
- IBSAL, IBMCC, University of Salamanca, CSIC, Cancer Research Center, Salamanca, Spain
| | - Rocío Benito
- IBSAL, IBMCC, University of Salamanca, CSIC, Cancer Research Center, Salamanca, Spain
| | - María Abáigar
- IBSAL, IBMCC, University of Salamanca, CSIC, Cancer Research Center, Salamanca, Spain
| | - Ana África Martín
- IBSAL, IBMCC, University of Salamanca, CSIC, Cancer Research Center, Salamanca, Spain
- Department of Hematology, University Hospital of Salamanca, Salamanca, Spain
| | - Maryam Arefi
- Department of Hematology, Clinical University Hospital of Valladolid, Valladolid, Spain
| | - José Luis Fuster
- Department of Pediatric Oncohematology, Clinical University Hospital Virgen de la Arrixaca, Murcia, Spain
| | | | - Juan N. Rodríguez
- Department of Hematology, Juan Ramón Jiménez Hospital, Huelva, Spain
| | | | - Susana Riesco
- Department of Pediatric Oncohematology, University Hospital of Salamanca, Salamanca, Spain
| | - Lourdes Hermosín
- Department of Hematology, Jerez Hospital, Jerez de la Frontera, Cádiz, Spain
| | | | - Isabel Recio
- Department of Hematology, Nuestra Señora de Sonsoles Hospital, Avila, Spain
| | - Jordi Ribera
- Department of Hematology, ICO-Hospital Germans Trias i Pujol, Josep Carreras Research Institute, Badalona, Spain
| | - Jorge Labrador
- Department of Hematology, University Hospital of Burgos, Burgos, Spain
| | - José M. Alonso
- Department of Hematology, Rio Carrión Hospital, Palencia, Spain
| | - Carmen Olivier
- Department of Hematology, General Hospital of Segovia, Segovia, Spain
| | - Magdalena Sierra
- Department of Hematology, Virgen de la Concha Hospital, Zamora, Spain
| | - Marta Megido
- Department of Hematology, Bierzo Hospital, León/Ponferrada, Spain
| | | | - Juana Ciudad Pizarro
- Cytometry Service (NUCLEUS Research Support Platform), University of Salamanca (USAL), Salamanca, Spain
| | - Juan Luis García
- Institute of Health Science Studies of Castile and León (IESCYL), Salamanca, Spain
| | - José M. Ribera
- Department of Hematology, ICO-Hospital Germans Trias i Pujol, Josep Carreras Research Institute, Badalona, Spain
| | - Jesús M. Hernández-Rivas
- IBSAL, IBMCC, University of Salamanca, CSIC, Cancer Research Center, Salamanca, Spain
- Department of Hematology, University Hospital of Salamanca, Salamanca, Spain
- * E-mail:
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7
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Goud TM, Al Salmani KK, Al Harasi SM, Al Musalhi M, Wasifuddin SM, Rajab A. Importance of FISH combined with Morphology, Immunophenotype and Cytogenetic Analysis of Childhood/ Adult Acute Lymphoblastic Leukemia in Omani Patients. Asian Pac J Cancer Prev 2015; 16:7343-50. [PMID: 26514535 DOI: 10.7314/apjcp.2015.16.16.7343] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
Genetic changes associated with acute lymphoblastic leukemia (ALL) provide very important diagnostic and prognostic information with a direct impact on patient management. Detection of chromosome abnormalities by conventional cytogenetics combined with fluorescence in situ hybridization (FISH) play a very significant role in assessing risk stratification. Identification of specific chromosome abnormalities has led to the recognition of genetic subgroups based on reciprocal translocations, deletions and modal number in B or T-cell ALL. In the last twelve years 102 newly diagnosed childhood/adult ALL bone marrow samples were analysed for chromosomal abnormalities with conventional G-banding, and FISH (selected cases) using specific probes in our hospital. G-banded karyotype analysis found clonal numerical and/or structural chromosomal aberrations in 74.2% of cases. Patients with pseudodiploidy represented the most frequent group (38.7%) followed by high hyperdiploidy group (12.9%), low hyperdiploidy group (9.7%), hypodiploidy (<46) group (9.7%) and high hypertriploidy group (3.2%). The highest observed numerical chromosomal alteration was high hyperdiploidy (12.9%) with abnormal karyotypes while abnormal 12p (7.5%) was the highest observed structural abnormality followed by t(12;21)(p13.3;q22) resulting in ETV6/RUNX1 fusion (5.4%) and t(9;22)(q34.1;q11.2) resulting in BCR/ABL1 fusion (4.3%). Interestingly, we identified 16 cases with rare and complex structural aberrations. Application of the FISH technique produced major improvements in the sensitivity and accuracy of cytogenetic analysis with ALL patients. In conclusion it confirmed heterogeneity of ALL by identifying various recurrent chromosomal aberrations along with non-specific rearrangements and their association with specific immunophenotypes. This study pool is representative of paediatric/adult ALL patients in Oman.
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8
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Array-based comparative genomic hybridization detects copy number variations with prognostic relevance in 80% of ALL with normal karyotype or failed chromosome analysis. Leukemia 2015; 30:318-24. [PMID: 26449660 DOI: 10.1038/leu.2015.276] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2015] [Revised: 09/09/2015] [Accepted: 09/30/2015] [Indexed: 11/08/2022]
Abstract
Pretreatment cytogenetics is an important parameter for risk stratification and therapy approach in acute lymphoblastic leukemia (ALL). However, in up to 30% of cases, chromosome banding analysis (CBA) fails or reveals a normal karyotype. To characterize the subset of ALL with normal karyotype or failed CBA, we performed fluorescence in situ hybridization (FISH) or PCR for BCR-ABL1 and MLL rearrangements as well as array comparative genomic hybridization (aCGH) in 186 adult patients. We further carried out FISH for MYC in cases with Burkitt leukemia phenotype. FISH or PCR revealed one of the respective rearrangements in 22% of patients. In 80% of cases, copy number variations (CNV) were identified by aCGH. In 22% of cases, all CNV were below the resolution of CBA. On the basis of results of FISH, RT-PCR and aCGH, patients were categorized into three groups. The novel subset of patients with submicroscopic CNV only showed an overall survival at 3 years of 84% compared with 64% for patients classified as adverse abnormalities and 77% for cases with other aberrations (P=0.046). Thus, ALL with non-informative CBA can be further classified by FISH and aCGH providing prognostic information, which may be useful for a more individualized therapy.
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9
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Stevens-Kroef MJ, Hebeda KM, Verwiel ET, Kamping EJ, van Cleef PH, Kuiper RP, Groenen PJ. Microarray-based genomic profiling and in situ hybridization on fibrotic bone marrow biopsies for the identification of numerical chromosomal abnormalities in myelodysplastic syndrome. Mol Cytogenet 2015; 8:33. [PMID: 26023320 PMCID: PMC4447009 DOI: 10.1186/s13039-015-0136-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2015] [Accepted: 04/16/2015] [Indexed: 11/21/2022] Open
Abstract
Background Myelodysplastic syndromes (MDS) are a heterogeneous group of clonal hematological malignancies. In MDS patients with a fibrotic bone marrow the aspiration of cells often fails (dry-tap), which hampers standard karyotyping. Obtaining genetic data from these fibrotic marrows is therefore challenging, and up till now in situ hybridization applied to bone marrow biopsies is the only option. The microarray-based genomic profiling technology has already proven its value for bone marrow aspirates and peripheral blood samples, but has never been applied to the technically challenging bone marrow biopsies. We describe an approach for microarray-based genomic profiling on bone marrow biopsies and demonstrate its ability to obtain clinically relevant cytogenetic aberrations. In addition the data were compared with those obtained by in situ hybridization and karyotyping. Results We have evaluated the success rate of microarray-based genomic profiling by studying twenty-one bone marrow biopsies (7 fibrotic MDS, 12 non-fibrotic MDS and 2 reactive), by microarray-based genomic profiling and in situ hybridization (12 of 21 cases). The data obtained with these techniques were compared with conventional karyotyping data on corresponding bone marrow aspirates. Of the 15 copy number aberrations that were detected by in situ hybridization, 13 were concordant with microarray-based genomic profiling and karyotyping, whereas two hybridizations were misinterpreted. In 20 of 21 patients, the data obtained by microarray-based genomic profiling and karyotyping were identical or differences could be explained by the presence of marker chromosomes, complex karyotypes, clonal heterogeneity or disease progression. Conclusions We demonstrate that genome wide microarray-based genomic profiling performed on bone marrow biopsies has a similar success rate compared to in situ hybridization, and prevents misinterpretation of chromosomal losses as observed by FISH. In addition, equal to even higher resolutions were obtained with genomic profiling compared to conventional karyotyping. Our findings indicate that microarray-based profiling, even on bone marrow biopsies, is a valid approach for the identification of genetic abnormalities. This is a valuable substitution in cases of fibrotic MDS lacking cytogenetic results.
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Affiliation(s)
- Marian Jpl Stevens-Kroef
- Department of Human Genetics, Radboud university medical center, P.O. Box 9101, 6500 HB Nijmegen, The Netherlands
| | - Konnie M Hebeda
- Department of Pathology, Radboud university medical center, P.O. Box 9101, 6500 HB Nijmegen, The Netherlands
| | - Eugène T Verwiel
- Department of Human Genetics, Radboud university medical center, P.O. Box 9101, 6500 HB Nijmegen, The Netherlands
| | - Eveline J Kamping
- Department of Human Genetics, Radboud university medical center, P.O. Box 9101, 6500 HB Nijmegen, The Netherlands
| | - Patricia H van Cleef
- Department of Pathology, Radboud university medical center, P.O. Box 9101, 6500 HB Nijmegen, The Netherlands
| | - Roland P Kuiper
- Department of Human Genetics, Radboud university medical center, P.O. Box 9101, 6500 HB Nijmegen, The Netherlands
| | - Patricia Jta Groenen
- Department of Pathology, Radboud university medical center, P.O. Box 9101, 6500 HB Nijmegen, The Netherlands
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10
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Baughn LB, Biegel JA, South ST, Smolarek TA, Volkert S, Carroll AJ, Heerema NA, Rabin KR, Zweidler-McKay PA, Loh M, Hirsch B. Integration of cytogenomic data for furthering the characterization of pediatric B-cell acute lymphoblastic leukemia: a multi-institution, multi-platform microarray study. Cancer Genet 2014; 208:1-18. [PMID: 25678190 DOI: 10.1016/j.cancergen.2014.11.003] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2014] [Revised: 11/03/2014] [Accepted: 11/10/2014] [Indexed: 11/16/2022]
Abstract
It is well documented that among subgroups of B-cell acute lymphoblastic leukemia (B-ALL), the genetic profile of the leukemic blasts has significant impact on prognosis and stratification for therapy. Recent studies have documented the power of microarrays to screen genome-wide for copy number aberrations (CNAs) and regions of copy number-neutral loss of heterozygosity (CNLOH) that are not detectable by G-banding or fluorescence in situ hybridization (FISH). These studies have involved application of a single array platform for the respective cases. The present investigation demonstrates the feasibility and usefulness of integrating array results from multiple laboratories (ARUP, The Children's Hospital of Philadelphia, Cincinnati Children's Hospital Medical Center, and University of Minnesota Medical Center) that utilize different array platforms (Affymetrix, Agilent, or Illumina) in their respective clinical settings. A total of 65 patients enrolled on the Children's Oncology Group (COG) study AALL08B1 were identified for study, as cytogenetic and FISH studies had also been performed on these patients, with a central review of those results available for comparison. Microarray data were first analyzed by the individual laboratories with their respective software systems; raw data files were then centrally validated using NEXUS software. The results demonstrated the added value of integrating multi-platform data with cytogenetic and FISH data and highlight novel findings identified by array including the co-occurrence of low and high risk abnormalities not previously reported to coexist within a clone, novel regions of chromosomal amplification, clones characterized by numerous whole chromosome LOH that do not meet criteria for doubling of a near-haploid, and characterization of array profiles associated with an IKZF1 deletion. Each of these findings raises questions that are clinically relevant to risk stratification.
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Affiliation(s)
- Linda B Baughn
- Department of Laboratory Medicine and Pathology and Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
| | - Jaclyn A Biegel
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Sarah T South
- ARUP Laboratories, Department of Pathology, University of Utah, Salt Lake City, UT, USA
| | - Teresa A Smolarek
- Division of Human Genetics, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Suzanne Volkert
- Department of Laboratory Medicine and Pathology and Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA
| | - Andrew J Carroll
- Department of Genetics, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Nyla A Heerema
- Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Karen R Rabin
- Department of Pediatrics, Texas Children's Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | | | - Mignon Loh
- Department of Pediatrics, Benioff Children's Hospital and the Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | - Betsy Hirsch
- Department of Laboratory Medicine and Pathology and Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA.
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11
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Microarray analysis of serum mRNA in patients with head and neck squamous cell carcinoma at whole-genome scale. BIOMED RESEARCH INTERNATIONAL 2014; 2014:408683. [PMID: 24864240 PMCID: PMC4017838 DOI: 10.1155/2014/408683] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/17/2014] [Accepted: 02/24/2014] [Indexed: 12/18/2022]
Abstract
With the increasing demand for noninvasive approaches in monitoring head and neck cancer, circulating nucleic acids have been shown to be a promising tool. We focused on the global transcriptome of serum samples of head and neck squamous cell carcinoma (HNSCC) patients in comparison with healthy individuals. We compared gene expression patterns of 36 samples. Twenty-four participants including 16 HNSCC patients (from 12 patients we obtained blood samples 1 year posttreatment) and 8 control subjects were recruited. The Illumina HumanWG-6 v3 Expression BeadChip was used to profile and identify the differences in serum mRNA transcriptomes. We found 159 genes to be significantly changed (Storey's P value <0.05) between normal and cancer serum specimens regardless of factors including p53 and B-cell lymphoma family members (Bcl-2, Bcl-XL). In contrast, there was no difference in gene expression between samples obtained before and after surgery in cancer patients. We suggest that microarray analysis of serum cRNA in patients with HNSCC should be suitable for refinement of early stage diagnosis of disease that can be important for development of new personalized strategies in diagnosis and treatment of tumours but is not suitable for monitoring further development of disease.
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12
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Gibson SE, Luo J, Sathanoori M, Liao J, Surti U, Swerdlow SH. Whole-genome single nucleotide polymorphism array analysis is complementary to classical cytogenetic analysis in the evaluation of lymphoid proliferations. Am J Clin Pathol 2014; 141:247-55. [PMID: 24436273 DOI: 10.1309/ajcprhght28duwla] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
OBJECTIVES To explore how much additional information single nucleotide polymorphism (SNP) arrays provide and whether they could partially replace classical cytogenetics. METHODS Twenty-six lymphoid proliferations with available cytogenetic studies were analyzed with the Affymetrix Genome-Wide Human SNP Array 6.0 (Affymetrix, Santa Clara, CA). RESULTS Eleven of 26 cases demonstrated complete concordance between cytogenetics and SNP analysis, and 10 of 26 cases demonstrated partial concordance. Five discordant cases had copy number abnormalities (CNAs) with cytogenetics not identified with SNP arrays. While SNP analysis showed CNAs not apparent by cytogenetics in eight cases and helped clarify the karyotype in six cases, cytogenetics demonstrated CNAs not seen by SNP analysis in 15 cases as well as balanced translocations in 12 cases. CONCLUSIONS The combination of cytogenetics and SNP analysis results in a higher overall yield in identifying numerical chromosomal abnormalities than either technique alone.
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Affiliation(s)
- Sarah E. Gibson
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Jianhua Luo
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Malini Sathanoori
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA
- Pittsburgh Cytogenetics Laboratory, Magee-Womens Hospital of UPMC, Pittsburgh, PA
| | - Jun Liao
- Pittsburgh Cytogenetics Laboratory, Magee-Womens Hospital of UPMC, Pittsburgh, PA
| | - Urvashi Surti
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA
- Pittsburgh Cytogenetics Laboratory, Magee-Womens Hospital of UPMC, Pittsburgh, PA
| | - Steven H. Swerdlow
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA
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13
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Stevens-Kroef MJ, van den Berg E, Olde Weghuis D, Geurts van Kessel A, Pfundt R, Linssen-Wiersma M, Benjamins M, Dijkhuizen T, Groenen PJ, Simons A. Identification of prognostic relevant chromosomal abnormalities in chronic lymphocytic leukemia using microarray-based genomic profiling. Mol Cytogenet 2014; 7:3. [PMID: 24401281 PMCID: PMC3905918 DOI: 10.1186/1755-8166-7-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2013] [Accepted: 12/11/2013] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Characteristic genomic abnormalities in patients with B cell chronic lymphocytic leukemia (CLL) have been shown to provide important prognostic information. Fluorescence in situ hybridization (FISH) and multiplex ligation-dependent probe amplification (MLPA), currently used in clinical diagnostics of CLL, are targeted tests aimed at specific genomic loci. Microarray-based genomic profiling is a new high-resolution tool that enables genome-wide analyses. The aim of this study was to compare two recently launched genomic microarray platforms, i.e., the CytoScan HD Array (Affymetrix) and the HumanOmniExpress Array (Illumina), with FISH and MLPA to ascertain whether these latter tests can be replaced by either one of the microarray platforms in a clinical diagnostic setting. RESULT Microarray-based genomic profiling and FISH were performed in all 28 CLL patients. For an unbiased comparison of the performance of both microarray platforms 9 patients were evaluated on both platforms, resulting in the identification of exactly identical genomic aberrations. To evaluate the detection limit of the microarray platforms we included 7 patients in which the genomic abnormalities were present in a relatively low percentage of the cells (range 5-28%) as previously determined by FISH. We found that both microarray platforms allowed the detection of copy number abnormalities present in as few as 16% of the cells. In addition, we found that microarray-based genomic profiling allowed the identification of genomic abnormalities that could not be detected by FISH and/or MLPA, including a focal TP53 loss and copy neutral losses of heterozygosity of chromosome 17p. CONCLUSION From our results we conclude that although the microarray platforms exhibit a somewhat lower limit of detection compared to FISH, they still allow the detection of copy number abnormalities present in as few as 16% of the cells. By applying similar interpretation criteria, the results obtained from both platforms were comparable. In addition, we conclude that both microarray platforms allow the identification of additional potential prognostic relevant abnormalities such as focal TP53 deletions and copy neutral losses of heterozygosity of chromosome 17p, which would have remained undetected by FISH or MLPA. The prognostic relevance of these novel genomic alterations requires further evaluation in prospective clinical trials.
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Affiliation(s)
- Marian Jpl Stevens-Kroef
- Department of Human Genetics, Radboud university medical center, P,O, Box 9101, Nijmegen 6500 HB, The Netherlands.
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14
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Huh J, Jung CW, Kim HJ, Kim YK, Moon JH, Sohn SK, Kim HJ, Min WS, Kim DHD. Different characteristics identified by single nucleotide polymorphism array analysis in leukemia suggest the need for different application strategies depending on disease category. Genes Chromosomes Cancer 2012; 52:44-55. [DOI: 10.1002/gcc.22005] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2012] [Revised: 08/05/2012] [Accepted: 08/07/2012] [Indexed: 12/19/2022] Open
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15
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Stevens-Kroef M, Weghuis DO, Croockewit S, Derksen L, Hooijer J, Elidrissi-Zaynoun N, Siepman A, Simons A, Kessel AGV. High detection rate of clinically relevant genomic abnormalities in plasma cells enriched from patients with multiple myeloma. Genes Chromosomes Cancer 2012; 51:997-1006. [PMID: 22833442 DOI: 10.1002/gcc.21982] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2012] [Accepted: 06/13/2012] [Indexed: 11/12/2022] Open
Abstract
Multiple myeloma is a heterogeneous disease, which is characterized by the occurrence of specific genomic abnormalities that are both of diagnostic and prognostic relevance. Since the detection of these abnormalities through molecular-genetic techniques is hampered by the overall low percentage of plasma cells present in primary bone marrow aspirates, we assessed the efficacy of these techniques in enriched plasma cell fractions from 61 multiple myeloma patients. Using interphase FISH, genomic abnormalities could be detected in 96% of the enriched samples as compared to 61% in the cultured whole bone marrow samples. We also found that microarray-based genomic profiling of enriched plasma samples facilitates the detection of additional, possibly clinically relevant, genomic abnormalities. We conclude that the genomic delineation of enriched plasma cells from multiple myeloma patients results in a significantly increased detection rate of clinically relevant genomic abnormalities. In order to facilitate molecular-genetic data interpretation, we recommend morphological assessment of plasma cell purity after enrichment.
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Affiliation(s)
- Marian Stevens-Kroef
- Department of Human Genetics, Radboud University Nijmegen Medical Centre, The Netherlands.
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Simons A, Sikkema-Raddatz B, de Leeuw N, Konrad NC, Hastings RJ, Schoumans J. Genome-wide arrays in routine diagnostics of hematological malignancies. Hum Mutat 2012; 33:941-8. [PMID: 22488943 DOI: 10.1002/humu.22057] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2011] [Accepted: 02/03/2012] [Indexed: 11/10/2022]
Abstract
Over the last three decades, cytogenetic analysis of malignancies has become an integral part of disease evaluation and prediction of prognosis or responsiveness to therapy. In most diagnostic laboratories, conventional karyotyping, in conjunction with targeted fluorescence in situ hybridization analysis, is routinely performed to detect recurrent aberrations with prognostic implications. However, the genetic complexity of cancer cells requires a sensitive genome-wide analysis, enabling the detection of small genomic changes in a mixed cell population, as well as of regions of homozygosity. The advent of comprehensive high-resolution genomic tools, such as molecular karyotyping using comparative genomic hybridization or single-nucleotide polymorphism microarrays, has overcome many of the limitations of traditional cytogenetic techniques and has been used to study complex genomic lesions in, for example, leukemia. The clinical impact of the genomic copy-number and copy-neutral alterations identified by microarray technologies is growing rapidly and genome-wide array analysis is evolving into a diagnostic tool, to better identify high-risk patients and predict patients' outcomes from their genomic profiles. Here, we review the added clinical value of an array-based genome-wide screen in leukemia, and discuss the technical challenges and an interpretation workflow in applying arrays in the acquired cytogenetic diagnostic setting.
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Affiliation(s)
- Annet Simons
- Laboratory of Tumor Genetics, Department of Human Genetics, Radboud University Nijmegen Medical Center, Nijmegen, the Netherlands
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Ninomiya S, Tyybäkinoja A, Borze I, Räty R, Saarinen-Pihkala UM, Usvasalo A, Elonen E, Knuutila S. Integrated analysis of gene copy number, copy neutral LOH, and microRNA profiles in adult acute lymphoblastic leukemia. Cytogenet Genome Res 2012; 136:246-55. [PMID: 22456238 DOI: 10.1159/000337297] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/17/2012] [Indexed: 01/13/2023] Open
Abstract
We adopted an integrated analysis of gene copy number alterations (CNAs), copy number neutral loss of heterozygosity (CNN LOH), and microRNA (miRNA) profiling in 21 adult acute lymphoblastic leukemia (ALL) patients. This study revealed the most frequent CNAs to be at chromosomes 9p, 7, and 17 and recurrent CNN LOH at 5p, 9p, and Xq. As for the most differentially expressed miRNAs, they included 8 upregulated and 14 downregulated miRNAs, of which miR-148a at 7p15.2, miR-22 at 17p13.3, miR-223 at Xq12, as well as miR-101-2 at 9p24.1 exhibited recurrent CNAs or CNN LOH. miR-101-2 was recurrently downregulated, and although the related CNN LOH was detected only in BCR-ABL1 negative cases (2/14), deletions of miR-101-2 were observed solely in BCR-ABL1 positive cases (4/7). Finally, BCR-ABL1 positive cases, in contrast to negative ones, were characterized by slightly, but still significantly, higher expression levels of miR-29b.
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Affiliation(s)
- S Ninomiya
- Department of Pathology, HUSLAB and University of Helsinki, Finland
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