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Zou YS, Klausner M, Ghabrial J, Stinnett V, Long P, Morsberger L, Murry JB, Beierl K, Gocke CD, Xian RR, Toomer KH, Ye JC, Orlowski RZ, Huff CA, Ali SA, Imus PH, Gocke CB, Tang G. A comprehensive approach to evaluate genetic abnormalities in multiple myeloma using optical genome mapping. Blood Cancer J 2024; 14:78. [PMID: 38702349 PMCID: PMC11068911 DOI: 10.1038/s41408-024-01059-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 04/15/2024] [Accepted: 04/17/2024] [Indexed: 05/06/2024] Open
Affiliation(s)
- Ying S Zou
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Melanie Klausner
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jen Ghabrial
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Victoria Stinnett
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Patty Long
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Laura Morsberger
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jaclyn B Murry
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Katie Beierl
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Christopher D Gocke
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Rena R Xian
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kevin H Toomer
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jing Christine Ye
- Department of Lymphoma & Myeloma, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA
| | - Robert Z Orlowski
- Department of Lymphoma & Myeloma, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA
- Department of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA
| | - Carol Ann Huff
- Department of Oncology, The Sydney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Syed Abbas Ali
- Department of Oncology, The Sydney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Philip H Imus
- Department of Oncology, The Sydney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Christian B Gocke
- Department of Oncology, The Sydney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Guilin Tang
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, 6565 MD Anderson Blvd, Houston, TX, 77030, USA
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Giguère A, Raymond-Bouchard I, Collin V, Claveau JS, Hébert J, LeBlanc R. Optical Genome Mapping Reveals the Complex Genetic Landscape of Myeloma. Cancers (Basel) 2023; 15:4687. [PMID: 37835381 PMCID: PMC10571866 DOI: 10.3390/cancers15194687] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 09/15/2023] [Accepted: 09/17/2023] [Indexed: 10/15/2023] Open
Abstract
Fluorescence in situ hybridization (FISH) on enriched CD138 plasma cells is the standard method for identification of clinically relevant genetic abnormalities in multiple myeloma. However, FISH is a targeted analysis that can be challenging due to the genetic complexity of myeloma. The aim of this study was to evaluate the potential of optical genome mapping (OGM) to detect clinically significant cytogenetic abnormalities in myeloma and to provide larger pangenomic information. OGM and FISH analyses were performed on CD138-purified cells of 20 myeloma patients. OGM successfully detected structural variants (SVs) (IGH and MYC rearrangements), copy number variants (CNVs) (17p/TP53 deletion, 1p deletion and 1q gain/amplification) and aneuploidy (gains of odd-numbered chromosomes, monosomy 13) classically expected with myeloma and led to a 30% increase in prognosis yield at our institution when compared to FISH. Despite challenges in the interpretation of OGM calls for CNV and aneuploidy losses in non-diploid genomes, OGM has the potential to replace FISH as the standard of care analysis in clinical settings and to efficiently change how we identify prognostic and predictive markers for therapies in the future. To our knowledge, this is the first study highlighting the feasibility and clinical utility of OGM in myeloma.
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Affiliation(s)
- Amélie Giguère
- Cytogenetics Laboratory, Maisonneuve-Rosemont Hospital, Montreal, QC H1T 2M4, Canada; (I.R.-B.); (V.C.); (J.H.)
| | - Isabelle Raymond-Bouchard
- Cytogenetics Laboratory, Maisonneuve-Rosemont Hospital, Montreal, QC H1T 2M4, Canada; (I.R.-B.); (V.C.); (J.H.)
| | - Vanessa Collin
- Cytogenetics Laboratory, Maisonneuve-Rosemont Hospital, Montreal, QC H1T 2M4, Canada; (I.R.-B.); (V.C.); (J.H.)
| | - Jean-Sébastien Claveau
- Division of Hematology, Oncology and Transplantation, Department of Medicine, Maisonneuve-Rosemont Hospital, Université de Montréal, Montreal, QC H1T 2M4, Canada; (J.-S.C.); (R.L.)
| | - Josée Hébert
- Cytogenetics Laboratory, Maisonneuve-Rosemont Hospital, Montreal, QC H1T 2M4, Canada; (I.R.-B.); (V.C.); (J.H.)
- Division of Hematology, Oncology and Transplantation, Department of Medicine, Maisonneuve-Rosemont Hospital, Université de Montréal, Montreal, QC H1T 2M4, Canada; (J.-S.C.); (R.L.)
| | - Richard LeBlanc
- Division of Hematology, Oncology and Transplantation, Department of Medicine, Maisonneuve-Rosemont Hospital, Université de Montréal, Montreal, QC H1T 2M4, Canada; (J.-S.C.); (R.L.)
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Zhang B, Bian B, Zhang Y, Zhang L, Zhang R, Wang J. The Apparent Diffusion Coefficient of Diffusion-Weighted Whole-Body Magnetic Resonance Imaging Affects the Survival of Multiple Myeloma Independently. Front Oncol 2022; 12:780078. [PMID: 35311101 PMCID: PMC8931198 DOI: 10.3389/fonc.2022.780078] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Accepted: 02/07/2022] [Indexed: 02/03/2023] Open
Abstract
Background Diffusion-weighted whole-body MRI (DW-MRI) is increasingly used to evaluate bone diseases of multiple myeloma (MM), but there is lack of quantitative indicator for DW-MRI to reflect the prognosis of MM. Apparent diffusion coefficient (ADC) values in DW-MRI has potential correlations between some indexes of MM, but the influence of ADC on MM survival needs to be further verified. Methods A total of 381 newly diagnosed MM patients were enrolled in the study to analyze the effect of ADC values in DW-MRI on progression-free survival (PFS) and overall survival (OS). The Kaplan–Meier method was used to perform univariate survival analysis, and the Cox proportional hazards model was used for multivariate analysis. In addition to the ADC value, genetic and serological indexes were also included. Results The survivals were observed in univariate ADC stratification with median PFS of 52.0, 45.0, 34.0, and 26.0 months (the unit of ADC value was 10−3 mm2/s; the ADC ranges were ADC < 0.4886, 0.4886 ≤ ADC < 0.6545, 0.6545 ≤ ADC < 0.7750, and ADC ≥ 0.7750; 95% CI, 43.759–62.241, 46.336–53.664, 39.753–46.247, and 27.812–32.188). The OS were 81.0, 61.0, 47.0, and 36.0 months (p < 0.001; 95% CI, 71.356–82.644, 67.630–70.370, 57.031–60.969, and 36.107–43.893). In Cox proportional hazards model, the ADC value was considered to be an independent risk factor affecting PFS and OS of MM (both p < 0.001). Conclusions This study supports that ADC in DW-MRI may independently stratify MM patients and better predict their prognosis. The combined use of DW-MRI and other parameters allows more accurate evaluation of MM survival. Trial Registration http://www.chictr.org.cn/showproj.aspx?proj=49012, ChiCTR2000029587.
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Affiliation(s)
- Bei Zhang
- Department of Radiology, First Hospital of Jilin University, Changchun, China
| | - Bingyang Bian
- Department of Radiology, First Hospital of Jilin University, Changchun, China
| | - Yanjiao Zhang
- Department of Radiology, First Hospital of Jilin University, Changchun, China
| | - Li Zhang
- Department of Radiology, First Hospital of Jilin University, Changchun, China
| | - Rongkui Zhang
- Department of Hematology, First Hospital of Jilin University, Changchun, China
| | - Jiping Wang
- Department of Radiology, First Hospital of Jilin University, Changchun, China
- *Correspondence: Jiping Wang,
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