1
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Tembhare PR, Sriram H, Khanka T, Gawai S, Bagal B, Ghogale SG, Deshpande N, Girase K, Patil J, Hasan SK, Shetty D, Ghosh K, Chatterjee G, Rajpal S, Patkar NV, Jain H, Punatar S, Gokarn A, Nayak L, Mirgh S, Jindal N, Sengar M, Khattry N, Subramanian PG, Gujral S. Circulating tumor plasma cells and peripheral blood measurable residual disease assessment in multiple myeloma patients not planned for upfront transplant. Hemasphere 2024; 8:e63. [PMID: 38566804 PMCID: PMC10983024 DOI: 10.1002/hem3.63] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Revised: 01/16/2024] [Accepted: 03/01/2024] [Indexed: 04/04/2024] Open
Abstract
Circulating tumor plasma cells (CTPCs) provide a noninvasive alternative for measuring tumor burden in newly diagnosed multiple myeloma (NDMM). Moreover, measurable residual disease (MRD) assessment in peripheral blood (PBMRD) can provide an ideal alternative to bone marrow MRD, which is limited by its painful nature and technical challenges. However, the clinical significance of PBMRD in NDMM still remains uncertain. Additionally, data on CTPC in NDMM patients not treated with transplant are scarce. We prospectively studied CTPC and PBMRD in 141 NDMM patients using highly sensitive multicolor flow cytometry (HS-MFC). PBMRD was monitored at the end of three cycles (PBMRD1) and six cycles (PBMRD2) of chemotherapy in patients with detectable baseline CTPC. Patients received bortezomib-based triplet therapy and were not planned for an upfront transplant. Among baseline risk factors, CTPC ≥ 0.01% was independently associated with poor progression-free survival (PFS) (hazard ratio [HR] = 2.77; p = 0.0047) and overall survival (OS) (HR = 2.9; p = 0.023) on multivariate analysis. In patients with detectable baseline CTPC, undetectable PBMRD at both subsequent time points was associated with longer PFS (HR = 0.46; p = 0.0037), whereas detectable PBMRD at any time point was associated with short OS (HR = 3.25; p = 0.004). Undetectable combined PBMRD (PBMRD1 and PBMRD2) outperformed the serum-immunofixation-based response. On multivariate analysis, detectable PBMRD at any time point was independently associated with poor PFS (HR = 2.0; p = 0.025) and OS (HR = 3.97; p = 0.013). Thus, our findings showed that CTPC and PBMRD assessment using HS-MFC provides a robust, noninvasive biomarker for NDMM patients not planned for an upfront transplant. Sequential PBMRD monitoring has great potential to improve the impact of the existing risk stratification and response assessment models.
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Affiliation(s)
- Prashant R. Tembhare
- Department of Hematopathology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Harshini Sriram
- Department of Hematopathology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Twinkle Khanka
- Department of Hematopathology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Sanghamitra Gawai
- Department of Hematopathology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Bhausaheb Bagal
- Department of Medical Oncology, Tata Memorial CentreHBNI UniversityMumbaiMaharashtraIndia
| | - Sitaram G. Ghogale
- Department of Hematopathology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Nilesh Deshpande
- Department of Hematopathology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Karishma Girase
- Department of Hematopathology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Jagruti Patil
- Department of Hematopathology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Syed Khaizer Hasan
- Hasan Laboratory, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Dhanalaxmi Shetty
- Department of Cancer Cytogenetics, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Kinjalka Ghosh
- Department of Biochemistry, Tata Memorial CentreHBNI UniversityMumbaiMaharashtraIndia
| | - Gaurav Chatterjee
- Department of Hematopathology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Sweta Rajpal
- Department of Hematopathology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Nikhil V. Patkar
- Department of Hematopathology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Hasmukh Jain
- Department of Medical Oncology, Tata Memorial CentreHBNI UniversityMumbaiMaharashtraIndia
| | - Sachin Punatar
- Bone Marrow Transplant Unit, Department of Medical Oncology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Anant Gokarn
- Bone Marrow Transplant Unit, Department of Medical Oncology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Lingaraj Nayak
- Bone Marrow Transplant Unit, Department of Medical Oncology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Sumeet Mirgh
- Bone Marrow Transplant Unit, Department of Medical Oncology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Nishant Jindal
- Bone Marrow Transplant Unit, Department of Medical Oncology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Manju Sengar
- Department of Medical Oncology, Tata Memorial CentreHBNI UniversityMumbaiMaharashtraIndia
| | - Navin Khattry
- Bone Marrow Transplant Unit, Department of Medical Oncology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Papagudi G. Subramanian
- Department of Hematopathology, ACTREC, Tata Memorial CentreHBNI UniversityNavi MumbaiMaharashtraIndia
| | - Sumeet Gujral
- Department of Pathology, Tata Memorial Hospital, Tata Memorial CentreHBNI UniversityMumbaiMaharashtraIndia
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2
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Chen H, Shu J, Maley CC, Liu L. A Mouse-Specific Model to Detect Genes under Selection in Tumors. Cancers (Basel) 2023; 15:5156. [PMID: 37958330 PMCID: PMC10647215 DOI: 10.3390/cancers15215156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 10/16/2023] [Accepted: 10/18/2023] [Indexed: 11/15/2023] Open
Abstract
The mouse is a widely used model organism in cancer research. However, no computational methods exist to identify cancer driver genes in mice due to a lack of labeled training data. To address this knowledge gap, we adapted the GUST (Genes Under Selection in Tumors) model, originally trained on human exomes, to mouse exomes via transfer learning. The resulting tool, called GUST-mouse, can estimate long-term and short-term evolutionary selection in mouse tumors, and distinguish between oncogenes, tumor suppressor genes, and passenger genes using high-throughput sequencing data. We applied GUST-mouse to analyze 65 exomes of mouse primary breast cancer models and 17 exomes of mouse leukemia models. Comparing the predictions between cancer types and between human and mouse tumors revealed common and unique driver genes. The GUST-mouse method is available as an open-source R package on github.
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Affiliation(s)
- Hai Chen
- College of Health Solutions, Arizona State University, Phoenix, AZ 85004, USA; (H.C.); (J.S.)
- Biodesign Institute, Arizona State University, Tempe, AZ 85281, USA;
| | - Jingmin Shu
- College of Health Solutions, Arizona State University, Phoenix, AZ 85004, USA; (H.C.); (J.S.)
- Biodesign Institute, Arizona State University, Tempe, AZ 85281, USA;
| | - Carlo C. Maley
- Biodesign Institute, Arizona State University, Tempe, AZ 85281, USA;
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ 85281, USA
| | - Li Liu
- College of Health Solutions, Arizona State University, Phoenix, AZ 85004, USA; (H.C.); (J.S.)
- Biodesign Institute, Arizona State University, Tempe, AZ 85281, USA;
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ 85281, USA
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3
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Dang M, Wang R, Lee HC, Patel KK, Becnel MR, Han G, Thomas SK, Hao D, Chu Y, Weber DM, Lin P, Lutter-Berka Z, Berrios Nolasco DA, Huang M, Bansal H, Song X, Zhang J, Futreal A, Moreno Rueda LY, Symer DE, Green MR, Rojas Hernandez CM, Kroll M, Afshar-Khargan V, Ndacayisaba LJ, Kuhn P, Neelapu SS, Orlowski RZ, Wang L, Manasanch EE. Single cell clonotypic and transcriptional evolution of multiple myeloma precursor disease. Cancer Cell 2023; 41:1032-1047.e4. [PMID: 37311413 PMCID: PMC10317474 DOI: 10.1016/j.ccell.2023.05.007] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 03/02/2023] [Accepted: 05/09/2023] [Indexed: 06/15/2023]
Abstract
Multiple myeloma remains an incurable disease, and the cellular and molecular evolution from precursor conditions, including monoclonal gammopathy of undetermined significance and smoldering multiple myeloma, is incompletely understood. Here, we combine single-cell RNA and B cell receptor sequencing from fifty-two patients with myeloma precursors in comparison with myeloma and normal donors. Our comprehensive analysis reveals early genomic drivers of malignant transformation, distinct transcriptional features, and divergent clonal expansion in hyperdiploid versus non-hyperdiploid samples. Additionally, we observe intra-patient heterogeneity with potential therapeutic implications and identify distinct patterns of evolution from myeloma precursor disease to myeloma. We also demonstrate distinctive characteristics of the microenvironment associated with specific genomic changes in myeloma cells. These findings add to our knowledge about myeloma precursor disease progression, providing valuable insights into patient risk stratification, biomarker discovery, and possible clinical applications.
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Affiliation(s)
- Minghao Dang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ruiping Wang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Hans C Lee
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Krina K Patel
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Melody R Becnel
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Guangchun Han
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sheeba K Thomas
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Dapeng Hao
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yanshuo Chu
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Donna M Weber
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Pei Lin
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Zuzana Lutter-Berka
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - David A Berrios Nolasco
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Mei Huang
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Hima Bansal
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xingzhi Song
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jianhua Zhang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Andrew Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Luz Yurany Moreno Rueda
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - David E Symer
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Michael R Green
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Cristhiam M Rojas Hernandez
- Department of Internal Medicine, Section of Benign Hematology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Michael Kroll
- Department of Internal Medicine, Section of Benign Hematology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Vahid Afshar-Khargan
- Department of Internal Medicine, Section of Benign Hematology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Peter Kuhn
- University of Southern California, Los Angeles, CA, USA
| | - Sattva S Neelapu
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Robert Z Orlowski
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Linghua Wang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; The University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Houston, TX, USA.
| | - Elisabet E Manasanch
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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4
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Validation of the revised diagnostic criteria for primary plasma cell leukemia by the Korean Multiple Myeloma Working Party. Blood Cancer J 2022; 12:157. [PMID: 36404323 PMCID: PMC9676183 DOI: 10.1038/s41408-022-00755-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 10/25/2022] [Accepted: 11/10/2022] [Indexed: 11/22/2022] Open
Abstract
The International Myeloma Working Group has recently revised the diagnostic criteria for primary plasma cell leukemia (PCL) to circulating plasma cells (CPCs) ≥ 5% in a peripheral blood smear. The present study validated new criteria in patients with multiple myeloma or PCL diagnosed using the previous diagnostic criteria, who were administered immunomodulatory drugs or proteasome inhibitors as induction therapy. We analyzed the medical records of 1357 patients from eight hospitals in South Korea. The median age of the all patients was 64 years, and 187 (13.8%) had CPCs at diagnosis. Only 79 (5.8%) of the patients had ≥ 5% CPCs. The median overall survival (OS) of patients with CPCs ≥ 5% and ≥ 20% was similar, but had significantly inferior median progression-free survival (PFS) and median OS than those with CPCs < 5% (13.1 vs. 21.5 months, P < 0.001, and 21.5 vs. 60.9 months, P < 0.001, respectively). Primary PCL diagnosed using the revised criteria presented with higher total calcium levels and serum creatinine levels, lower platelet counts and frequent organomegaly and plasmacytoma at diagnosis. Univariate and multivariate analyses demonstrated that the presence of plasmacytoma and elevated serum β2-microglobulin were significantly associated with OS in primary PCL. In conclusion, the revised criterion of CPCs ≥ 5% in a peripheral blood smear is appropriate for PCL diagnosis.
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5
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Ge X, Meng W, Wang W, Ma H, Zhao S, Cui K. Causes of death in primary plasma cell leukemia differ from multiple myeloma: A STROBE-compliant descriptive study based on SEER database. Medicine (Baltimore) 2022; 101:e29578. [PMID: 35866755 PMCID: PMC9302293 DOI: 10.1097/md.0000000000029578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
The primary plasma cell leukemia (pPCL) is a rare but aggressive variant of multiple myeloma (MM). Few studies have focused on the differences in the causes of death between pPCL and MM. This study aimed to compare and evaluate the causes of death of patients with pPCL and MM. The data were collected from the Surveillance Epidemiology, and End Results (SEER) database. The demographic characteristics, survival, and causes of death in pPCL and MM patients were evaluated and compared. The competing risk regression model was performed to predict the cause of death. Between 1975 and 2009, the overall mortality rate was 96.13% and 88.71% for pPCL and MM, and the median survival was 9 and 26 months, respectively. In pPCL, leukemia caused 45.05% of the deaths, followed by myeloma (38.83%). In MM, myeloma was the leading cause of death, accounting for 74.89% of the deaths. Older age at diagnosis was a risk factor for dying of leukemia in pPCL patients (HR = 1.49, 95% CI: 1.16-1.91), while older age at death was associated with reduced risk (HR = 0.67, 95% CI: 0.52-0.86). Although the survival of pPCL patients increased with time periods of diagnosis since 1975 to 2009, the risk of dying of leukemia increased with the periods. For MM, most of the demographic characteristics were found to have independently predicting influence on the cause of death. Patients with pPCL and MM had distinct causes of death. Leukemia was the leading and the most serious cause of death in pPCL patients. The demographic factors could not predict the causes of death in pPCL. More large-scale and multi-center studies are needed to evaluate the effect of novel agents in pPCL patients, especially for patients who have progressed to leukemia.
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Affiliation(s)
- Xiaoyan Ge
- Department of Health Statistics, School of Public Health, Jinzhou Medical University, Jinzhou, Liaoning Province, P.R. China
| | - Weihan Meng
- Department of Health Statistics, School of Public Health, Jinzhou Medical University, Jinzhou, Liaoning Province, P.R. China
| | - Wenbo Wang
- Department of Health Statistics, School of Public Health, Jinzhou Medical University, Jinzhou, Liaoning Province, P.R. China
| | - Honglin Ma
- Department of Health Statistics, School of Public Health, Jinzhou Medical University, Jinzhou, Liaoning Province, P.R. China
| | - Siqi Zhao
- Department of Health Statistics, School of Public Health, Jinzhou Medical University, Jinzhou, Liaoning Province, P.R. China
| | - Kai Cui
- Department of Health Statistics, School of Public Health, Jinzhou Medical University, Jinzhou, Liaoning Province, P.R. China
- *Correspondence: Kai Cui, Department of Health Statistics, School of Public Health, Jinzhou Medical University, 40 Songpo Road, Jinzhou 121000, P.R. China (e-mail: )
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6
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[Update on biology of primary plasma cell leukemia]. ZHONGHUA XUE YE XUE ZA ZHI = ZHONGHUA XUEYEXUE ZAZHI 2022; 43:603-607. [PMID: 36709141 PMCID: PMC9395563 DOI: 10.3760/cma.j.issn.0253-2727.2022.07.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
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7
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Jung SH, Lee JJ. Update on primary plasma cell leukemia. Blood Res 2022; 57:62-66. [PMID: 35483928 PMCID: PMC9057670 DOI: 10.5045/br.2022.2022033] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 03/24/2022] [Indexed: 01/01/2023] Open
Abstract
Plasma cell leukemia (PCL) is a rare and highly aggressive plasma cell neoplasm developing in 0.5?4% of patients with multiple myeloma (MM). The diagnostic criteria were recently revised from 20% to ≥5% of circulating plasma cells in peripheral blood smears. PCL is classified as primary or secondary; primary PCL is when it presents in patients with no MM. Primary PCL shows clinical and laboratory features at presentation that differ from MM and exhibits a dismal prognosis even with the use of effective agents against MM. Therefore, intensive chemotherapy should be initiated immediately after diagnosis, and autologous stem cell transplantation is recommended for transplant-eligible patients. Maintenance therapy after transplantation may reduce the rate of early relapses. We reviewed the definitions of PCL, revised diagnostic criteria, clinical features, and appropriate initial treatments for primary PCL.
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Affiliation(s)
- Sung-Hoon Jung
- Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea
| | - Je-Jung Lee
- Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea
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8
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Hofste Op Bruinink D, Kuiper R, van Duin M, Cupedo T, van der Velden VHJ, Hoogenboezem R, van der Holt B, Beverloo HB, Valent ET, Vermeulen M, Gay F, Broijl A, Avet-Loiseau H, Munshi NC, Musto P, Moreau P, Zweegman S, van de Donk NWCJ, Sonneveld P. Identification of High-Risk Multiple Myeloma With a Plasma Cell Leukemia-Like Transcriptomic Profile. J Clin Oncol 2022; 40:3132-3150. [PMID: 35357885 PMCID: PMC9509081 DOI: 10.1200/jco.21.01217] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Primary plasma cell leukemia (pPCL) is an aggressive subtype of multiple myeloma, which is distinguished from newly diagnosed multiple myeloma (NDMM) on the basis of the presence of ≥ 20% circulating tumor cells (CTCs). A molecular marker for pPCL is currently lacking, which could help identify NDMM patients with high-risk PCL-like disease, despite not having been recognized as such clinically.
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Affiliation(s)
- Davine Hofste Op Bruinink
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands.,Department of Immunology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Rowan Kuiper
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands.,SkylineDx, Rotterdam, the Netherlands
| | - Mark van Duin
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Tom Cupedo
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | | | - Remco Hoogenboezem
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Bronno van der Holt
- HOVON Data Center, Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - H Berna Beverloo
- Department of Clinical Genetics, Erasmus University Medical Center, Rotterdam, the Netherlands
| | | | - Michael Vermeulen
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Francesca Gay
- Myeloma Unit, Division of Hematology, University of Torino, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
| | - Annemiek Broijl
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | | | - Nikhil C Munshi
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - Pellegrino Musto
- "Aldo Moro" University School of Medicine, Unit of Hematology and Stem Cell Transplantation, AOUC Policlinico, Bari, Italy
| | - Philippe Moreau
- Hematology Department, University Hospital Hôtel-Dieu, Nantes, France
| | - Sonja Zweegman
- Department of Hematology, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, the Netherlands
| | - Niels W C J van de Donk
- Department of Hematology, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, the Netherlands
| | - Pieter Sonneveld
- Department of Hematology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
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9
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Rojas EA, Gutiérrez NC. Genomics of Plasma Cell Leukemia. Cancers (Basel) 2022; 14:cancers14061594. [PMID: 35326746 PMCID: PMC8946729 DOI: 10.3390/cancers14061594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 03/12/2022] [Accepted: 03/16/2022] [Indexed: 11/30/2022] Open
Abstract
Simple Summary Plasma cell leukemia (PCL) is a very aggressive plasma cell disorder with a dismal prognosis, despite the therapeutic progress made in the last few years. The implementation of genomic high-throughput technologies in the clinical setting has revealed new insights into the genomic landscape of PCL, some of which may have an impact on the development of novel therapeutic approaches. The purpose of this review is to provide a comprehensive overview and update of the genomic studies carried out in PCL. Abstract Plasma cell leukemia (PCL) is a rare and highly aggressive plasma cell dyscrasia characterized by the presence of clonal circulating plasma cells in peripheral blood. PCL accounts for approximately 2–4% of all multiple myeloma (MM) cases. PCL can be classified in primary PCL (pPCL) when it appears de novo and in secondary PCL (sPCL) when it arises from a pre-existing relapsed/refractory MM. Despite the improvement in treatment modalities, the prognosis remains very poor. There is growing evidence that pPCL is a different clinicopathological entity as compared to MM, although the mechanisms underlying its pathogenesis are not fully elucidated. The development of new high-throughput technologies, such as microarrays and new generation sequencing (NGS), has contributed to a better understanding of the peculiar biological and clinical features of this disease. Relevant information is now available on cytogenetic alterations, genetic variants, transcriptome, methylation patterns, and non-coding RNA profiles. Additionally, attempts have been made to integrate genomic alterations with gene expression data. However, given the low frequency of PCL, most of the genetic information comes from retrospective studies with a small number of patients, sometimes leading to inconsistent results.
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Affiliation(s)
- Elizabeta A. Rojas
- Hematology Department, University Hospital of Salamanca, Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain;
- Cancer Research Center-Institute of Cancer Molecular and Cellular Biology (CIC-IBMCC) (USAL-CSIC), 37007 Salamanca, Spain
| | - Norma C. Gutiérrez
- Hematology Department, University Hospital of Salamanca, Institute of Biomedical Research of Salamanca (IBSAL), 37007 Salamanca, Spain;
- Cancer Research Center-Institute of Cancer Molecular and Cellular Biology (CIC-IBMCC) (USAL-CSIC), 37007 Salamanca, Spain
- Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), CB16/12/00233, 28029 Madrid, Spain
- Grupo Español de Mieloma (GEM), 28040 Madrid, Spain
- Correspondence: ; Tel.: +34-923-291-200 (ext. 56617)
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10
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Primary Plasma Cell Leukemia displaying t(11;14) have specific genomic, transcriptional and clinical feature. Blood 2022; 139:2666-2672. [PMID: 35171994 DOI: 10.1182/blood.2021014968] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 02/02/2022] [Indexed: 11/20/2022] Open
Abstract
Primary plasma cell leukemia (pPCL) is an aggressive form of multiple myeloma (MM) that has not benefited from recent therapeutic advances in the field. Because very rare and heterogeneous, it remains poorly understood at the molecular level. To address this issue, we performed DNA and RNA sequencing of sorted plasma cells from a large cohort of 90 newly diagnosed pPCL, and compared to MM. We observed that pPCL presents a specific genomic landscape with a high prevalence of t(11;14) (about half) and high-risk genomic features such as del(17p), gain 1q, del(1p32). In addition, pPCL displays a specific transcriptome when compared to MM. We then aimed at specifically characterize pPCL with t(11;14). We observed that this sub-entity displayed significantly fewer adverse cytogenetic abnormalities. This translated into better overall survival when compared to pPCL without t(11;14) (39.2 months vs 17.9 months, p=0.002). Finally, pPCL with t(11;14) displayed a specific transcriptome, including differential expression of BCL2 family members. This study is the largest series of patients with pPCL reported so far.
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11
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Puła A, Robak P, Mikulski D, Robak T. The Significance of mRNA in the Biology of Multiple Myeloma and Its Clinical Implications. Int J Mol Sci 2021; 22:12070. [PMID: 34769503 PMCID: PMC8584466 DOI: 10.3390/ijms222112070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Revised: 10/28/2021] [Accepted: 11/04/2021] [Indexed: 11/16/2022] Open
Abstract
Multiple myeloma (MM) is a genetically complex disease that results from a multistep transformation of normal to malignant plasma cells in the bone marrow. However, the molecular mechanisms responsible for the initiation and heterogeneous evolution of MM remain largely unknown. A fundamental step needed to understand the oncogenesis of MM and its response to therapy is the identification of driver mutations. The introduction of gene expression profiling (GEP) in MM is an important step in elucidating the molecular heterogeneity of MM and its clinical relevance. Since some mutations in myeloma occur in non-coding regions, studies based on the analysis of mRNA provide more comprehensive information on the oncogenic pathways and mechanisms relevant to MM biology. In this review, we discuss the role of gene expression profiling in understanding the biology of multiple myeloma together with the clinical manifestation of the disease, as well as its impact on treatment decisions and future directions.
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Affiliation(s)
- Anna Puła
- Department of Hematology, Medical University of Lodz, 93-510 Lodz, Poland;
| | - Paweł Robak
- Department of Experimental Hematology, Medical University of Lodz, 93-510 Lodz, Poland;
| | - Damian Mikulski
- Department of Biostatistics and Translational Medicine, Medical University of Lodz, 92-215 Lodz, Poland;
| | - Tadeusz Robak
- Department of Hematology, Medical University of Lodz, 93-510 Lodz, Poland;
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12
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Todoerti K, Taiana E, Puccio N, Favasuli V, Lionetti M, Silvestris I, Gentile M, Musto P, Morabito F, Gianelli U, Bolli N, Baldini L, Neri A, Ronchetti D. Transcriptomic Analysis in Multiple Myeloma and Primary Plasma Cell Leukemia with t(11;14) Reveals Different Expression Patterns with Biological Implications in Venetoclax Sensitivity. Cancers (Basel) 2021; 13:cancers13194898. [PMID: 34638381 PMCID: PMC8508148 DOI: 10.3390/cancers13194898] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 09/25/2021] [Indexed: 12/23/2022] Open
Abstract
Simple Summary The growing interest in BCL2 inhibitors for the treatment of multiple myeloma (MM) has led to the need for biomarkers that are able to predict patient’s sensitivity to the drug. The presence of the chromosomal translocation t(11;14) in MM is mainly associated with sensitivity to venetoclax and good prognosis. The incidence of t(11;14) largely increases in primary Plasma Cell Leukemia (pPCL) in association with an unfavorable outcome. Currently, data concerning pPCL sensitivity to venetoclax are virtually absent. In this context, we investigated the transcriptome of MM and pPCL with t(11;14), evidencing that the two clinical entities are likely responsive to venetoclax based on different molecular programs, thus prompting further studies to elucidate better novel potential predictive biomarkers. Abstract Mechanisms underlying the pathophysiology of primary Plasma Cell Leukemia (pPCL) and intramedullary multiple myeloma (MM) need to be further elucidated, being potentially relevant for improving therapeutic approaches. In such a context, the MM and pPCL subgroups characterized by t(11;14) deserve a focused investigation, as the presence of the translocation is mainly associated with sensitivity to venetoclax. Herein, we investigated a proprietary cohort of MM and pPCL patients, focusing on the transcriptional signature of samples carrying t(11;14), whose incidence increases in pPCL in association with an unfavorable outcome. In addition, we evaluated the expression levels of the BCL2-gene family members and of a panel of B-cell genes recently reported to be associated with sensitivity to venetoclax in MM. Moreover, transcriptional analysis of lncRNAs in the two clinical settings led to the identification of several differentially expressed transcripts, among which the SNGH6 deregulated lncRNA might be relevant in the pathogenesis and prognosis of pPCL with t(11;14). Overall, our data suggest that MMs and pPCLs with t(11;14) might be responsive to venetoclax based on different molecular programs, prompting further studies to elucidate better novel potential predictive biomarkers.
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Affiliation(s)
- Katia Todoerti
- Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy; (K.T.); (E.T.); (N.P.); (V.F.); (M.L.); (I.S.); (N.B.); (L.B.)
- Hematology, Fondazione Cà Granda IRCCS Policlinico, 20122 Milan, Italy
| | - Elisa Taiana
- Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy; (K.T.); (E.T.); (N.P.); (V.F.); (M.L.); (I.S.); (N.B.); (L.B.)
- Hematology, Fondazione Cà Granda IRCCS Policlinico, 20122 Milan, Italy
| | - Noemi Puccio
- Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy; (K.T.); (E.T.); (N.P.); (V.F.); (M.L.); (I.S.); (N.B.); (L.B.)
| | - Vanessa Favasuli
- Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy; (K.T.); (E.T.); (N.P.); (V.F.); (M.L.); (I.S.); (N.B.); (L.B.)
- Hematology, Fondazione Cà Granda IRCCS Policlinico, 20122 Milan, Italy
| | - Marta Lionetti
- Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy; (K.T.); (E.T.); (N.P.); (V.F.); (M.L.); (I.S.); (N.B.); (L.B.)
- Hematology, Fondazione Cà Granda IRCCS Policlinico, 20122 Milan, Italy
| | - Ilaria Silvestris
- Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy; (K.T.); (E.T.); (N.P.); (V.F.); (M.L.); (I.S.); (N.B.); (L.B.)
- Hematology, Fondazione Cà Granda IRCCS Policlinico, 20122 Milan, Italy
| | - Massimo Gentile
- Hematology Unit, “Annunziata” Hospital of Cosenza, 87100 Cosenza, Italy;
| | - Pellegrino Musto
- Department of Emergency and Organ Transplantation, “Aldo Moro” University School of Medicine, 70124 Bari, Italy;
- Unit of Hematology and Stem Cell Transplantation, AOUC Policlinico, 70124 Bari, Italy
| | - Fortunato Morabito
- Hematology and Bone Marrow Transplant Unit, Hemato-Oncology Department, Augusta Victoria Hospital, East Jerusalem 91191, Israel;
- Biotechnology Research Unit, Azienda Ospedaliera di Cosenza, 87100 Cosenza, Italy
| | - Umberto Gianelli
- Department of Pathophysiology and Transplantation, University of Milan, 20122 Milan, Italy;
- Division of Pathology, Fondazione Cà Granda IRCCS Policlinico, 20122 Milan, Italy
| | - Niccolò Bolli
- Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy; (K.T.); (E.T.); (N.P.); (V.F.); (M.L.); (I.S.); (N.B.); (L.B.)
- Hematology, Fondazione Cà Granda IRCCS Policlinico, 20122 Milan, Italy
| | - Luca Baldini
- Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy; (K.T.); (E.T.); (N.P.); (V.F.); (M.L.); (I.S.); (N.B.); (L.B.)
- Hematology, Fondazione Cà Granda IRCCS Policlinico, 20122 Milan, Italy
| | - Antonino Neri
- Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy; (K.T.); (E.T.); (N.P.); (V.F.); (M.L.); (I.S.); (N.B.); (L.B.)
- Hematology, Fondazione Cà Granda IRCCS Policlinico, 20122 Milan, Italy
- Correspondence: (A.N.); (D.R.)
| | - Domenica Ronchetti
- Department of Oncology and Hemato-Oncology, University of Milan, 20122 Milan, Italy; (K.T.); (E.T.); (N.P.); (V.F.); (M.L.); (I.S.); (N.B.); (L.B.)
- Hematology, Fondazione Cà Granda IRCCS Policlinico, 20122 Milan, Italy
- Correspondence: (A.N.); (D.R.)
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Visram A, Suska A, Jurczyszyn A, Gonsalves WI. Practical management and assessment of primary plasma cell leukemia in the novel agent era. Cancer Treat Res Commun 2021; 28:100414. [PMID: 34174530 DOI: 10.1016/j.ctarc.2021.100414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 05/08/2021] [Accepted: 05/27/2021] [Indexed: 10/21/2022]
Affiliation(s)
- A Visram
- University of Ottawa, Ottawa Hospital Research Institute, Ottawa, ON, Canada; Division of Hematology, Mayo Clinic, Rochester, MN, United States
| | - A Suska
- Department of Hematology, Jagiellonian University Medical College, Kopernika 17, Krakow 31-501, Poland
| | - A Jurczyszyn
- Department of Hematology, Jagiellonian University Medical College, Kopernika 17, Krakow 31-501, Poland
| | - W I Gonsalves
- Division of Hematology, Mayo Clinic, Rochester, MN, United States.
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Katiyar A, Kaur G, Rani L, Jena L, Singh H, Kumar L, Sharma A, Kaur P, Gupta R. Genome-wide identification of potential biomarkers in multiple myeloma using meta-analysis of mRNA and miRNA expression data. Sci Rep 2021; 11:10957. [PMID: 34040057 PMCID: PMC8154993 DOI: 10.1038/s41598-021-90424-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Accepted: 04/29/2021] [Indexed: 02/07/2023] Open
Abstract
Multiple myeloma (MM) is a plasma cell malignancy with diverse clinical phenotypes and molecular heterogeneity not completely understood. Differentially expressed genes (DEGs) and miRNAs (DEMs) in MM may influence disease pathogenesis, clinical presentation / drug sensitivities. But these signatures overlap meagrely plausibly due to complexity of myeloma genome, diversity in primary cells studied, molecular technologies/ analytical tools utilized. This warrants further investigations since DEGs/DEMs can impact clinical outcomes and guide personalized therapy. We have conducted genome-wide meta-analysis of DEGs/DEMs in MM versus Normal Plasma Cells (NPCs) and derived unified putative signatures for MM. 100 DEMs and 1,362 DEGs were found deranged between MM and NPCs. Signatures of 37 DEMs ('Union 37') and 154 DEGs ('Union 154') were deduced that shared 17 DEMs and 22 DEGs with published prognostic signatures, respectively. Two miRs (miR-16-2-3p, 30d-2-3p) correlated with survival outcomes. PPI analysis identified 5 topmost functionally connected hub genes (UBC, ITGA4, HSP90AB1, VCAM1, VCP). Transcription factor regulatory networks were determined for five seed DEGs with ≥ 4 biomarker applications (CDKN1A, CDKN2A, MMP9, IGF1, MKI67) and three topmost up/ down regulated DEMs (miR-23b, 195, let7b/ miR-20a, 155, 92a). Further studies are warranted to establish and translate prognostic potential of these signatures for MM.
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Affiliation(s)
- Amit Katiyar
- Bioinformatics Facility, Centralized Core Research Facility, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India
- ICMR-AIIMS Computational Genomics Centre, Division of Biomedical Informatics, Indian Council of Medical Research, Ansari Nagar, New Delhi, 110029, India
- Department of Biophysics, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India
| | - Gurvinder Kaur
- Laboratory Oncology Unit, Dr B. R. A. Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, 110029, India
- Genomics Facility, Centralized Core Research Facility, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India
| | - Lata Rani
- Laboratory Oncology Unit, Dr B. R. A. Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, 110029, India
- Genomics Facility, Centralized Core Research Facility, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India
| | - Lingaraja Jena
- Laboratory Oncology Unit, Dr B. R. A. Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, 110029, India
| | - Harpreet Singh
- ICMR-AIIMS Computational Genomics Centre, Division of Biomedical Informatics, Indian Council of Medical Research, Ansari Nagar, New Delhi, 110029, India
| | - Lalit Kumar
- Department of Medical Oncology, Dr B. R. A. Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India
| | - Atul Sharma
- Department of Medical Oncology, Dr B. R. A. Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India
| | - Punit Kaur
- Bioinformatics Facility, Centralized Core Research Facility, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India.
- Department of Biophysics, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India.
| | - Ritu Gupta
- Laboratory Oncology Unit, Dr B. R. A. Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, 110029, India.
- Genomics Facility, Centralized Core Research Facility, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India.
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Downregulation of ITGA6 confers to the invasion of multiple myeloma and promotes progression to plasma cell leukaemia. Br J Cancer 2021; 124:1843-1853. [PMID: 33785876 DOI: 10.1038/s41416-021-01362-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Revised: 02/08/2021] [Accepted: 03/11/2021] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Secondary plasma cell leukaemia (sPCL) is an aggressive form of multiple myeloma (MM), but the mechanism underlying MM progresses into PCL remains unknown. METHODS Gene expression profiling of MM patients and PCL patients was analysed to identify the molecular differences between the two diseases. Cox survival regression and Kaplan-Meier analysis were performed to illustrate the impact of integrin subunit alpha 6 (ITGA6) on prognosis of MM. Invasion assays were performed to assess whether ITGA6 regulated the progression of MM to PCL. RESULTS Gene expression profiling analyses showed that cell metastasis pathways were enriched in PCL and ITGA6 was differentially expressed between PCL and MM. ITGA6 expression was an independent prognostic factor for event-free survival (EFS) and overall survival (OS) of MM patients. Moreover, the stratification ability of the International Staging System (ISS) of MM was improved when including ITGA6 expression. Functional studies uncovered that increased ITGA6 reduced the myeloma cell invasion. Additionally, low expression of ITGA6 resulted from epigenetic downregulating of its anti-sense non-coding RNA, ITGA6-AS1. CONCLUSION Our data reveal that ITGA6 gradually decreases during plasma cell dyscrasias progression and low expression of ITGA6 contributes to myeloma metastasis. Moreover, ITGA6 abundance might help develop MM prognostic stratification.
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Elcheva IA, Spiegelman VS. The Role of cis- and trans-Acting RNA Regulatory Elements in Leukemia. Cancers (Basel) 2020; 12:E3854. [PMID: 33419342 PMCID: PMC7766907 DOI: 10.3390/cancers12123854] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 12/07/2020] [Accepted: 12/08/2020] [Indexed: 02/06/2023] Open
Abstract
RNA molecules are a source of phenotypic diversity and an operating system that connects multiple genetic and metabolic processes in the cell. A dysregulated RNA network is a common feature of cancer. Aberrant expression of long non-coding RNA (lncRNA), micro RNA (miRNA), and circular RNA (circRNA) in tumors compared to their normal counterparts, as well as the recurrent mutations in functional regulatory cis-acting RNA motifs have emerged as biomarkers of disease development and progression, opening avenues for the design of novel therapeutic approaches. This review looks at the progress, challenges and future prospects of targeting cis-acting and trans-acting RNA elements for leukemia diagnosis and treatment.
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Affiliation(s)
- Irina A. Elcheva
- Division of Pediatric Hematology and Oncology, Department of Pediatrics, Pennsylvania State University College of Medicine, P.O. Box 850, MC H085, 500 University Drive, Hershey, PA 17033-0850, USA
| | - Vladimir S. Spiegelman
- Division of Pediatric Hematology and Oncology, Department of Pediatrics, Pennsylvania State University College of Medicine, P.O. Box 850, MC H085, 500 University Drive, Hershey, PA 17033-0850, USA
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Kurian CJ, Thomas C, Houtmann S, Klumpp T, Binder AF. Case Report: Concomitant Diagnosis of Plasma Cell Leukemia in Patient With JAK2 Positive Myeloproliferative Neoplasm. Front Oncol 2020; 10:1497. [PMID: 32974181 PMCID: PMC7482648 DOI: 10.3389/fonc.2020.01497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Accepted: 07/13/2020] [Indexed: 11/27/2022] Open
Abstract
Plasma cell dyscrasias and myeloproliferative neoplasms (MPN) are hematologic malignancies arising from two distinct hematopoietic cell lineages. They rarely occur concomitantly. Here, we report a case of a patient with a recent diagnosis of a JAK2 V617F positive MPN who presented with a new diagnosis of plasma cell leukemia. The patient had presented to the hospital with a leukocytosis predominantly comprised of plasma cells, followed by work-up involving peripheral blood flow cytometry, FISH analysis, and bone-marrow biopsy. FISH analysis was suggestive of a common progenitor cell for these distinct hematologic malignancies. To our knowledge, this case represents the second reported instance of a concomitant JAK2 positive MPN with primary plasma cell leukemia.
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Affiliation(s)
- Christine J Kurian
- Department of Internal Medicine, Thomas Jefferson University Hospital, Philadelphia, PA, United States
| | - Colin Thomas
- Department of Internal Medicine, Thomas Jefferson University Hospital, Philadelphia, PA, United States
| | - Sarah Houtmann
- Department of Internal Medicine, Thomas Jefferson University Hospital, Philadelphia, PA, United States
| | - Thomas Klumpp
- Department of Medical Oncology, Thomas Jefferson University Hospital, Philadelphia, PA, United States
| | - Adam Finn Binder
- Department of Medical Oncology, Thomas Jefferson University Hospital, Philadelphia, PA, United States
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