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Chari A, Kaufman JL, Laubach J, Sborov DW, Reeves B, Rodriguez C, Silbermann R, Costa LJ, Anderson LD, Nathwani N, Shah N, Bumma N, Holstein SA, Costello C, Jakubowiak A, Wildes TM, Orlowski RZ, Shain KH, Cowan AJ, Pei H, Cortoos A, Patel S, Lin TS, Voorhees PM, Usmani SZ, Richardson PG. Daratumumab in transplant-eligible patients with newly diagnosed multiple myeloma: final analysis of clinically relevant subgroups in GRIFFIN. Blood Cancer J 2024; 14:107. [PMID: 38977707 PMCID: PMC11231363 DOI: 10.1038/s41408-024-01088-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 06/11/2024] [Accepted: 06/17/2024] [Indexed: 07/10/2024] Open
Abstract
The randomized, phase 2 GRIFFIN study (NCT02874742) evaluated daratumumab plus lenalidomide/bortezomib/dexamethasone (D-RVd) in transplant-eligible newly diagnosed multiple myeloma (NDMM). We present final post hoc analyses (median follow-up, 49.6 months) of clinically relevant subgroups, including patients with high-risk cytogenetic abnormalities (HRCAs) per revised definition (del[17p], t[4;14], t[14;16], t[14;20], and/or gain/amp[1q21]). Patients received 4 induction cycles (D-RVd/RVd), high-dose therapy/transplant, 2 consolidation cycles (D-RVd/RVd), and lenalidomide±daratumumab maintenance (≤ 2 years). Minimal residual disease-negativity (10-5) rates were higher for D-RVd versus RVd in patients ≥ 65 years (67.9% vs 17.9%), with HRCAs (54.8% vs 32.4%), and with gain/amp(1q21) (61.8% vs 28.6%). D-RVd showed a trend toward improved progression-free survival versus RVd (hazard ratio [95% confidence interval]) in patients ≥ 65 years (0.29 [0.06-1.48]), with HRCAs (0.38 [0.14-1.01]), and with gain/amp(1q21) (0.42 [0.14-1.27]). In the functional high-risk subgroup (not MRD negative at the end of consolidation), the hazard ratio was 0.82 (0.35-1.89). Among patients ≥ 65 years, grade 3/4 treatment-emergent adverse event (TEAE) rates were higher for D-RVd versus RVd (88.9% vs 77.8%), as were TEAEs leading to discontinuation of ≥ 1 treatment component (37.0% vs 25.9%). One D-RVd patient died due to an unrelated TEAE. These results support the addition of daratumumab to RVd in transplant-eligible patients with high-risk NDMM. Video Abstract.
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Affiliation(s)
- Ajai Chari
- Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | | | - Jacob Laubach
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Douglas W Sborov
- Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Brandi Reeves
- University of North Carolina-Department of Medicine-Chapel Hill, Chapel Hill, NC, USA
| | | | - Rebecca Silbermann
- Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
| | | | - Larry D Anderson
- Myeloma, Waldenstrӧm's and Amyloidosis Program, Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, TX, USA
| | - Nitya Nathwani
- Judy and Bernard Briskin Center for Multiple Myeloma Research, City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - Nina Shah
- University of California San Francisco, San Francisco, CA, USA
| | - Naresh Bumma
- Division of Hematology, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Sarah A Holstein
- Division of Oncology and Hematology, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, USA
| | - Caitlin Costello
- Moores Cancer Center, University of California San Diego, La Jolla, CA, USA
| | | | - Tanya M Wildes
- Division of Oncology and Hematology, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, USA
| | - Robert Z Orlowski
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kenneth H Shain
- Department of Malignant Hematology, H. Lee Moffitt Cancer Center, Tampa, FL, USA
| | - Andrew J Cowan
- Clinical Research Division, Fred Hutch Cancer Center, Seattle, WA, USA
| | - Huiling Pei
- Janssen Research & Development, LLC, Titusville, NJ, USA
| | | | | | - Thomas S Lin
- Janssen Scientific Affairs, LLC, Horsham, PA, USA
| | - Peter M Voorhees
- Levine Cancer Institute, Atrium Health Wake Forest University School of Medicine, Charlotte, NC, USA.
| | - Saad Z Usmani
- Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Paul G Richardson
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
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Sun M, Wang L, Wang C, Ma J, Wang W, Lin L, Ren C, Zhang Y, Cheng J. Quantitative Analysis of Whole-Body MRI for Accessing the Degree of Diffuse Infiltration Patterns and Identifying High Risk Cases of Newly Diagnosed Multiple Myeloma. J Magn Reson Imaging 2024; 59:2035-2045. [PMID: 37675995 DOI: 10.1002/jmri.28962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 08/01/2023] [Accepted: 08/03/2023] [Indexed: 09/08/2023] Open
Abstract
BACKGROUND Accurate identification of high-risk multiple myeloma (HRMM) is important for prognostication. The degree of diffuse infiltration patterns on magnetic resonance imaging (MRI) is associated with patient prognosis in multiple myeloma. However, objective indexes to determine the degree of diffuse infiltration patterns are unavailable. PURPOSE To investigate whether qualitative and quantitative evaluations of diffuse infiltration patterns on MRI could identify HRMM. STUDY TYPE Retrospective. SUBJECTS Totally, 180 patients (79 HRMM and 101 standard-risk MM) were assessed. The presence of del(17p), t(4;14), t(14;16), t(14;20), gain 1q, and/or p53 mutations was considered to indicate HRMM. FIELD STRENGTH/SEQUENCE 3.0 T/diffusion-weighted whole-body imaging with background body signal suppression (DWIBS), modified Dixon chemical-shift imaging Quant (mDIXON Quant), and short TI inversion recovery (STIR). ASSESSMENT Qualitative analysis involved assessing the degree of diffuse marrow infiltration (mild, moderate, or severe), and quantitative analysis involved evaluating apparent diffusion coefficient (ADC), fat fraction (FF), and T2* values. Clinical data such as sex, age, hemoglobin, serum albumin, serum calcium, serum creatinine, serum lactate dehydrogenase, β2-microglobulin, and bone marrow plasma cells (BMPCs) were also included. STATISTICAL TESTS Univariate and multivariate analyses, receiver operating characteristic (ROC) curve. P < 0.05 was considered statistically significant. RESULTS The high-risk group had significantly higher ADC and T2* and lower FF compared with the standard-risk group. Multivariate analysis indicated BMPCs as a significant independent risk factor for HRMM (odds ratio (OR) = 1.019, 95% CI 1.004-1.033), while FF was a significant independent protective factor associated with HRMM (OR = 0.972, 95% CI 0.946-0.999). The combination of BMPCs and FF achieved the highest areas under the curve (AUC) of 0.732, with sensitivity and specificity of 70.9% and 68.3%, respectively. DATA CONCLUSION Compared with qualitative analysis, FF value was independently associated with HRMM. The quantitative features of diffuse marrow infiltration on MRI scans are more effective in detecting HRMM. LEVEL OF EVIDENCE 3 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Mengtian Sun
- Department of Magnetic Resonance, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Linlin Wang
- Department of Magnetic Resonance, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Chong Wang
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jie Ma
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Weimin Wang
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Liangjie Lin
- Clinical and Technical Support, Philips Healthcare, Beijing, China
| | - Cuiping Ren
- Department of Magnetic Resonance, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yong Zhang
- Department of Magnetic Resonance, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jingliang Cheng
- Department of Magnetic Resonance, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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Adam R, Lotankar Y, Sas C, Powell D, Martinez V, Green S, Cooper J, Bradbury K, Sive J, Hill DL. Understanding patterns of fatigue in health and disease: protocol for an ecological momentary assessment study using digital technologies. BMJ Open 2024; 14:e081416. [PMID: 38802273 PMCID: PMC11131111 DOI: 10.1136/bmjopen-2023-081416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 05/10/2024] [Indexed: 05/29/2024] Open
Abstract
INTRODUCTION Fatigue is prevalent across a wide range of medical conditions and can be debilitating and distressing. It is likely that fatigue is experienced differently according to the underlying aetiology, but this is poorly understood. Digital health technologies present a promising approach to give new insights into fatigue.The aim of this study is to use digital health technologies, real-time self-reports and qualitative interview data to investigate how fatigue is experienced over time in participants with myeloma, long COVID, heart failure and in controls without problematic fatigue. Objectives are to understand which sensed parameters add value to the characterisation of fatigue and to determine whether study processes are feasible, acceptable and scalable. METHODS AND ANALYSIS An ecological momentary assessment study will be carried out over 2 or 4 weeks (participant defined). Individuals with fatigue relating to myeloma (n=10), heart failure (n=10), long COVID (n=10) and controls without problematic fatigue or a study condition (n=10) will be recruited. ECG patches will measure heart rate variability, respiratory rate, body temperature, activity and posture. A wearable bracelet accompanied by environment beacons will measure physical activity, sleep and room location within the home. Self-reports of mental and physical fatigue will be collected via smartphone app four times daily and on-demand. Validated fatigue and affect questionnaires will be completed at baseline and at 2 weeks. End-of-study interviews will investigate experiences of fatigue and study participation. A feedback session will be offered to participants to discuss their data.Data will be analysed using multilevel modelling and machine learning. Interviews and feedback sessions will be analysed using content or thematic analyses. ETHICS AND DISSEMINATION This study was approved by the East of England-Cambridge East Research Ethics Committee (22/EE/0261). The results will be disseminated in peer-reviewed journals and at international conferences. TRIAL REGISTRATION NUMBER NCT05622669.
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Affiliation(s)
- Rosalind Adam
- Academic Primary Care, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK
| | - Yojana Lotankar
- Psychology and Neuroscience, University of Westminster, London, UK
| | - Corina Sas
- School of Computing and Communications, Lancaster University, Lancaster, UK
| | - Daniel Powell
- Health Psychology, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK
| | | | - Stephen Green
- Department of Engineering, University of Cambridge, Cambridge, UK
| | - Jonathan Cooper
- James Watt School of Engineering, University of Glasgow, Glasgow, UK
| | | | - Jonathan Sive
- University College London Hospitals NHS Foundation Trust, London, UK
| | - Derek L Hill
- Medical Physics & Biomedical engineering, University College London Faculty of Engineering Sciences, London, UK
- Panoramic Digital Health Ltd, Grenoble, France
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Thongon N, Ma F, Baran N, Lockyer P, Liu J, Jackson C, Rose A, Furudate K, Wildeman B, Marchesini M, Marchica V, Storti P, Todaro G, Ganan-Gomez I, Adema V, Rodriguez-Sevilla JJ, Qing Y, Ha MJ, Fonseca R, Stein C, Class C, Tan L, Attanasio S, Garcia-Manero G, Giuliani N, Berrios Nolasco D, Santoni A, Cerchione C, Bueso-Ramos C, Konopleva M, Lorenzi P, Takahashi K, Manasanch E, Sammarelli G, Kanagal-Shamanna R, Viale A, Chesi M, Colla S. Targeting DNA2 overcomes metabolic reprogramming in multiple myeloma. Nat Commun 2024; 15:1203. [PMID: 38331987 PMCID: PMC10853245 DOI: 10.1038/s41467-024-45350-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 01/18/2024] [Indexed: 02/10/2024] Open
Abstract
DNA damage resistance is a major barrier to effective DNA-damaging therapy in multiple myeloma (MM). To discover mechanisms through which MM cells overcome DNA damage, we investigate how MM cells become resistant to antisense oligonucleotide (ASO) therapy targeting Interleukin enhancer binding factor 2 (ILF2), a DNA damage regulator that is overexpressed in 70% of MM patients whose disease has progressed after standard therapies have failed. Here, we show that MM cells undergo adaptive metabolic rewiring to restore energy balance and promote survival in response to DNA damage activation. Using a CRISPR/Cas9 screening strategy, we identify the mitochondrial DNA repair protein DNA2, whose loss of function suppresses MM cells' ability to overcome ILF2 ASO-induced DNA damage, as being essential to counteracting oxidative DNA damage. Our study reveals a mechanism of vulnerability of MM cells that have an increased demand for mitochondrial metabolism upon DNA damage activation.
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Affiliation(s)
- Natthakan Thongon
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Feiyang Ma
- Division of Rheumatology, Department of Internal Medicine, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Natalia Baran
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Pamela Lockyer
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jintan Liu
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Christopher Jackson
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ashley Rose
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ken Furudate
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Bethany Wildeman
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Matteo Marchesini
- IRCCS Instituto Romagnolo per lo Studio dei Tumori (IRST) Dino Amadori, Meldola, Italy
| | | | - Paola Storti
- Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Giannalisa Todaro
- Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Irene Ganan-Gomez
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Vera Adema
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Yun Qing
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Min Jin Ha
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Caleb Stein
- Department of Medicine, Mayo Clinic, Scottsdale, AZ, USA
| | - Caleb Class
- Department of Pharmaceutical Sciences, College of Pharmacy and Health Sciences, Butler University, Indianapolis, IN, USA
| | - Lin Tan
- Metabolomics Core Facility, Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sergio Attanasio
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Nicola Giuliani
- Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - David Berrios Nolasco
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Andrea Santoni
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Claudio Cerchione
- IRCCS Instituto Romagnolo per lo Studio dei Tumori (IRST) Dino Amadori, Meldola, Italy
| | - Carlos Bueso-Ramos
- Department of Hemopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Marina Konopleva
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Philip Lorenzi
- Metabolomics Core Facility, Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Koichi Takahashi
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Elisabet Manasanch
- Department of Lymphoma and Myeloma, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Rashmi Kanagal-Shamanna
- Department of Hemopathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Andrea Viale
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Marta Chesi
- Department of Medicine, Mayo Clinic, Scottsdale, AZ, USA
| | - Simona Colla
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
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Fan H, Yan W, Li L, Xu J, Liu J, Xu Y, Sui W, Deng S, Du C, Yi S, Zou D, Qiu L, An G. The prognostic utility of dynamic risk stratification at disease progression in patients with multiple myeloma. Hematology 2023; 28:2182156. [PMID: 36815749 DOI: 10.1080/16078454.2023.2182156] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2023] Open
Abstract
OBJECTIVES There may be a shift in risk stratification at progression compared to that at diagnosis in patients with multiple myeloma (MM). We aimed to evaluate whether re-staging and stage migration is of prognostic impact. METHODS Real-world data from the National Longitudinal Cohort of Hematologic Diseases-multiple myeloma were collected; 263 consecutive patients demonstrating disease progression were finally included. Staging at diagnosis and re-staging at progression were performed using the International Staging System (ISS) and Revised International Staging System (RISS). RESULTS Based on ISS re-staging, the median post-progression survival (mPPS) of patients with stage I, II, and III was 44.2, 21.7, and 11.6 months, respectively (P < 0.0001). Based on RISS re-staging, the mPPS of patients with stage I, II, and III was 50.3, 22.2, and 11.4 months, respectively (P < 0.0001). The mPPS in patients with improved, maintained, and deteriorated ISS stage migration from diagnosis was 33.6, 20.9, and 16 months, respectively (P = 0.0051) and that with improved, maintained, and deteriorated RISS stage migration was 48.4, 23.1, and 13.9 months, respectively (P < 0.001). Compared to patients with maintained or improved disease stage, those with deteriorated ISS/RISS migration showed significantly higher incidence of Del(17P) at progression and worse PPS. Multivariate analyses indicated both re-staging and stage migration by ISS/RISS at progression were independent predictors for PPS. CONCLUSIONS We demonstrated that ISS/RISS re-staging showed superior prognostic utility over ISS/RISS staging in predicting PPS. Patients with deteriorated stage migration or maintained advanced stage at progression may need more individualized treatment.
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Affiliation(s)
- Huihsou Fan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Department of Hematology, The Affiliated Hospital of Qingdao University, Shandong, China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Wenqiang Yan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Lingna Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Jingyu Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Jiahui Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Yan Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Weiwei Sui
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Shuhui Deng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Chenxing Du
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Shuhua Yi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Dehui Zou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Lugui Qiu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
| | - Gang An
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, People's Republic of China.,Tianjin Institutes of Health Science, Tianjin, People's Republic of China
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Wei M, Xie C, Huang J, Liu Q, Lai Y. Autologous followed by allogeneic versus tandem-autologous transplantation in high-risk, newly diagnosed multiple myeloma: a systematic review and meta-analysis. Hematology 2023; 28:2269509. [PMID: 37850613 DOI: 10.1080/16078454.2023.2269509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 10/07/2023] [Indexed: 10/19/2023] Open
Abstract
OBJECTIVES High-risk multiple myeloma (HRMM) is associated with poor survival, despite many advances in antimyeloma strategies. Autologous followed by allogeneic stem cell transplantation (auto-allo-SCT) has yielded controversial results compared to tandem autologous stem cell transplantation (auto-SCT) in patients with HRMM. We conducted this meta-analysis to compare the efficacy and safety of auto-allo-SCT and tandem-auto-SCT in patients with HRMM. METHODS Embase, Cochrane Library, and PubMed databases were searched until March 2023. Prospective or retrospective studies comparing the effects of auto-allo-SCT and tandem-auto-SCT were included. Hazard ratios (HRs) and 95% confidence intervals (CIs) for time-to-event outcomes, and odds ratios (ORs) and 95%CIs for dichotomous outcomes were pooled using random-effects models. RESULTS Three studies involving 491 patients were included. Despite auto-allo-SCT seemed to be associated with improvements in progression-free survival (PFS) (HR [95%CI], 0.71 [0.51-1.00]) and complete response (CR) (OR [95%CI], 3.16 [1.67-5.99]), and reduced relapse/progression rates (47% vs. 55%) in comparison with tandem-auto-SCT, no marked improvement in overall survival (OS). In comparison to tandem-auto-SCT, patients assigned to auto-allo-SCT exhibited a higher risk of transplant-related mortality (TRM) (11.9% vs. 4.1%) and non-relapse mortality (NRM) (12.3% vs. 3.1%). CONCLUSION Auto-allo-SCT seemed to be associated with improvements in PFS and CR when compared to tandem-auto-SCT in patients with HRMM, but it did not lead to a significant improvement in OS. Furthermore, patients in the auto-allo-SCT group were at a higher risk of developing TRM and NRM. Auto-allo-SCT transplantation should not be routinely incorporated into HRMM therapy but rather should be considered investigational.
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Affiliation(s)
- Min Wei
- Department of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, People's Republic of China
- Department of Hematology, Liuzhou People's Hospital Affiliated to Guangxi Medical University, Liuzhou, People's Republic of China
| | - Chunhong Xie
- Department of Hematology, Liuzhou People's Hospital Affiliated to Guangxi Medical University, Liuzhou, People's Republic of China
| | - Jinxiong Huang
- Department of Hematology, Liuzhou People's Hospital Affiliated to Guangxi Medical University, Liuzhou, People's Republic of China
| | - Qin Liu
- Department of Hematology, Liuzhou People's Hospital Affiliated to Guangxi Medical University, Liuzhou, People's Republic of China
| | - Yongrong Lai
- Department of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, People's Republic of China
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7
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Gagelmann N, Ayuk FA, Klyuchnikov E, Wolschke C, Berger SC, Kröger N. Impact of high-risk disease on the efficacy of chimeric antigen receptor T-cell therapy for multiple myeloma: a meta-analysis of 723 patients. Haematologica 2023; 108:2799-2802. [PMID: 36815380 PMCID: PMC10542827 DOI: 10.3324/haematol.2022.282510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Accepted: 02/17/2023] [Indexed: 02/24/2023] Open
Affiliation(s)
- Nico Gagelmann
- Department of Stem Cell Transplantation, University Medical Center Hamburg-Eppendorf, Hamburg
| | - Francis A Ayuk
- Department of Stem Cell Transplantation, University Medical Center Hamburg-Eppendorf, Hamburg
| | - Evgeny Klyuchnikov
- Department of Stem Cell Transplantation, University Medical Center Hamburg-Eppendorf, Hamburg
| | - Christine Wolschke
- Department of Stem Cell Transplantation, University Medical Center Hamburg-Eppendorf, Hamburg
| | - Susanna Carolina Berger
- Department of Stem Cell Transplantation, University Medical Center Hamburg-Eppendorf, Hamburg
| | - Nicolaus Kröger
- Department of Stem Cell Transplantation, University Medical Center Hamburg-Eppendorf, Hamburg.
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Geng C, Yang G, Zhou H, Wang H, Li Y, Leng Y, Zhang Z, Jian Y, Chen W. Characteristics and Risk Factors of Ultra-High-Risk Patients with Newly Diagnosed Multiple Myeloma. J Pers Med 2023; 13:jpm13040666. [PMID: 37109052 PMCID: PMC10146518 DOI: 10.3390/jpm13040666] [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: 03/05/2023] [Revised: 04/02/2023] [Accepted: 04/12/2023] [Indexed: 04/29/2023] Open
Abstract
OBJECTIVE To investigate the clinical characteristics and risk factors of ultra-high-risk (UHR) patients with newly diagnosed multiple myeloma (MM). METHODS We screened UHR patients with a survival of less than 24 months and we selected patients with a concurrent survival of more than 24 months as a control group. We retrospectively analyzed the clinical characteristics of UHR patients with newly diagnosed MM and screened related risk factors. RESULTS In total we analyzed 477 patients, which included 121 (25.4%) UHR patients and 356 (74.6%) control patients. Median overall survival (OS) and progression-free survival (PFS) of UHR patients was 10.5 months (7.5-13.5 months) and 6.3 months (5.4-7.2 months), respectively. Univariate logistic regression analysis showed that age > 65 years, hemoglobin (HGB) < 100 g/L, lactate dehydrogenase (LDH) > 250 U/L, serum creatinine (SCr) > 2 mg/dL, corrected serum calcium (CsCa) > 2.75 mmol/L, B-type natriuretic peptide (BNP) or N-terminal prohormone BNP (NT-proBNP) > 2 upper limit of normal (ULN), high-risk cytogenetics, Barthel index score, and International Staging System (ISS) stage III were associated with UHR MM. In a multivariate analysis, age > 65 years, LDH > 250 U/L, CsCa > 2.75 mmol/L, BNP or NT-proBNP > 2 ULN, high-risk cytogenetics, and Barthel index score were independent risk factors for UHR MM. Moreover, UHR patients had a worse response rate than control patients. CONCLUSION Our study highlighted the characteristics of UHR MM patients and suggested that the combination of organ insufficiency and highly malignant myeloma cells resulted in poor outcomes of patients with UHR MM.
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Affiliation(s)
- Chuanying Geng
- Department of Hematology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - Guangzhong Yang
- Department of Hematology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - Huixing Zhou
- Department of Hematology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - Huijuan Wang
- Department of Hematology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - Yanchen Li
- Department of Hematology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - Yun Leng
- Department of Hematology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - Zhiyao Zhang
- Department of Hematology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - Yuan Jian
- Department of Hematology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - Wenming Chen
- Department of Hematology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
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Katodritou E, Kastritis E, Dalampira D, Delimpasi S, Spanoudakis E, Labropoulou V, Ntanasis-Stathopoulos I, Gkioka AI, Giannakoulas N, Kanellias N, Papadopoulou T, Sevastoudi A, Michalis E, Papathanasiou M, Kotsopoulou M, Sioni A, Triantafyllou T, Daiou A, Papadatou M, Kyrtsonis MC, Pouli A, Kostopoulos I, Verrou E, Dimopoulos MA, Terpos E. Improved survival of patients with primary plasma cell leukemia with VRd or daratumumab-based quadruplets: A multicenter study by the Greek myeloma study group. Am J Hematol 2023; 98:730-738. [PMID: 36869876 DOI: 10.1002/ajh.26891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Revised: 01/24/2023] [Accepted: 02/13/2023] [Indexed: 03/05/2023]
Abstract
We evaluated the efficacy and prognostic impact of bortezomib-lenalidomide triplet (VRd) or daratumumab-based quadruplets (DBQ) versus previous anti-myeloma therapies, that is, bortezomib standard combinations (BSC) or conventional chemotherapy (CT), in a large cohort of patients with primary plasma cell leukemia (pPCL), including those fulfilling the revised diagnostic criteria, that is, circulating plasma cells (cPCS): ≥5%; 110 pPCL patients (M/F: 51/59; median age 65 years, range: 44-86) out of 3324 myeloma patients (3%), registered in our database between 2001 and 2021, were studied; 37% had cPCS 5%-19%; 89% received novel combinations including DBQ (21%), VRd (16%) and BSC (52%); 35% underwent autologous stem cell transplantation. 83% achieved objective responses. Treatment with VRd/DBQ strongly correlated with a higher complete response rate (41% vs. 17%; p = .008). After a median follow-up of 51 months (95% CI: 45-56), 67 patients died. Early mortality was 3.5%. Progression-free survival was 16 months (95% CI: 12-19.8), significantly longer in patients treated with VRd/DBQ versus BSC/CT (25 months, 95% CI: 13.5-36.5 vs. 13 months 95% CI: 9-16.8; p = .03). Median overall survival (OS) was 29 months (95% CI: 19.6-38.3), significantly longer in patients treated with VRd/DBQ versus BSC/CT (not reached vs. 20 months, 95% CI: 14-26; 3-year OS: 70% vs. 32%, respectively; p < .001; HzR: 3.88). In the multivariate analysis VRd/DBQ therapy, del17p(+) and PLT <100.000/μL, independently predicted OS (p < .05). Our study has demonstrated that in the real-world setting, treatment with VRd/DBQ induces deep and durable responses and is a strong prognostic factor for OS representing currently the best therapeutic option for pPCL.
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Affiliation(s)
- Eirini Katodritou
- Department of Hematology, Theagenion Cancer Hospital, Thessaloniki, Greece
| | - Efstathios Kastritis
- Department of Clinical Therapeutics, National and Kapodistrian University of Athens, Athens, Greece
| | - Dimitra Dalampira
- Department of Hematology, Theagenion Cancer Hospital, Thessaloniki, Greece
| | - Sosana Delimpasi
- Department of Hematology and Bone Marrow Transplantation Unit, Evangelismos Hospital, Athens, Greece
| | - Emmanouil Spanoudakis
- Department of Hematology, University Hospital of Alexandroupolis, Alexandroupoli, Greece
| | - Vasiliki Labropoulou
- Department of Internal Medicine, Division of Hematology, University of Patras Medical School, Patras, Greece
| | | | - Annita-Ioanna Gkioka
- First Department of Propaedeutic Internal Medicine, Laikon General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Nikos Giannakoulas
- Department of Hematology, School of Medicine, University of Thessaly, Larisa, Greece
| | - Nikolaos Kanellias
- Department of Clinical Therapeutics, National and Kapodistrian University of Athens, Athens, Greece
| | | | | | - Eyrydiki Michalis
- Department of Hematology, "G. Gennimatas" General Hospital, Athens, Greece
| | - Maria Papathanasiou
- Department of Hematology and Bone Marrow Transplantation Unit, George Papanikolaou Hospital, Thessaloniki, Greece
| | | | - Anastasia Sioni
- Department of Hematology, Agios Savvas Cancer Hospital, Athens, Greece
| | | | - Aikaterini Daiou
- Department of Hematology, Theagenion Cancer Hospital, Thessaloniki, Greece
| | - Mavra Papadatou
- First Department of Propaedeutic Internal Medicine, Laikon General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Marie-Christine Kyrtsonis
- First Department of Propaedeutic Internal Medicine, Laikon General Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Anastasia Pouli
- Department of Hematology, Agios Savvas Cancer Hospital, Athens, Greece
| | - Ioannis Kostopoulos
- Department of Biology, National and Kapodistrian University of Athens, Athens, Greece
| | - Evgenia Verrou
- Department of Hematology, Theagenion Cancer Hospital, Thessaloniki, Greece
| | | | - Evangelos Terpos
- Department of Clinical Therapeutics, National and Kapodistrian University of Athens, Athens, Greece
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10
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Thongon N, Ma F, Lockyer P, Baran N, Liu J, Jackson C, Rose A, Wildeman B, Marchesini M, Marchica V, Storti P, Giuliani N, Ganan-Gomez I, Adema V, Qing Y, Ha M, Fonseca R, Class C, Tan L, Kanagal-Shamanna R, Nolasco DB, Cerchione C, Montalban-Bravo G, Santoni A, Bueso-Ramos C, Konopleva M, Lorenzi P, Garcia-Manero G, Manasanch E, Viale A, Chesi M, Colla S. Targeting DNA2 Overcomes Metabolic Reprogramming in Multiple Myeloma. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.22.529457. [PMID: 36865225 PMCID: PMC9980056 DOI: 10.1101/2023.02.22.529457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Abstract
DNA damage resistance is a major barrier to effective DNA-damaging therapy in multiple myeloma (MM). To discover novel mechanisms through which MM cells overcome DNA damage, we investigated how MM cells become resistant to antisense oligonucleotide (ASO) therapy targeting ILF2, a DNA damage regulator that is overexpressed in 70% of MM patients whose disease has progressed after standard therapies have failed. Here, we show that MM cells undergo an adaptive metabolic rewiring and rely on oxidative phosphorylation to restore energy balance and promote survival in response to DNA damage activation. Using a CRISPR/Cas9 screening strategy, we identified the mitochondrial DNA repair protein DNA2, whose loss of function suppresses MM cells' ability to overcome ILF2 ASO-induced DNA damage, as being essential to counteracting oxidative DNA damage and maintaining mitochondrial respiration. Our study revealed a novel vulnerability of MM cells that have an increased demand for mitochondrial metabolism upon DNA damage activation. STATEMENT OF SIGNIFICANCE Metabolic reprogramming is a mechanism through which cancer cells maintain survival and become resistant to DNA-damaging therapy. Here, we show that targeting DNA2 is synthetically lethal in myeloma cells that undergo metabolic adaptation and rely on oxidative phosphorylation to maintain survival after DNA damage activation.
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11
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Marcon C, Simeon V, Deias P, Facchin G, Corso A, Derudas D, Montefusco V, Offidani M, Petrucci MT, Zambello R, Stocchi R, Fanin R, Patriarca F. Experts' consensus on the definition and management of high risk multiple myeloma. Front Oncol 2023; 12:1096852. [PMID: 36755858 PMCID: PMC9899889 DOI: 10.3389/fonc.2022.1096852] [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: 11/12/2022] [Accepted: 12/16/2022] [Indexed: 01/24/2023] Open
Abstract
High risk multiple myeloma (HRMM) at diagnosis is currently recognized according to the Revised International Staging System (R-ISS) which was set up in 2015. Since then, new clinical and biological prognostic factors have been developed, which could implement the definition of High Risk (HR) category. We conducted a survey in order to identify which additional parameters, both clinical and biological, are considered more useful for the clinical practice and to evaluate if the management of Multiple Myeloma (MM) should change on the basis of the risk category. A questionnaire, consisting of 8 statements, was submitted to 6 Italian experts, from the European Myeloma Network (EMN) Research Italy, using the Delphi method. The colleagues were asked to answer each question using a scale between 0 and 100. If a statement did not reach at least 75 out of 100 points from all the participants, it was rephrased on the basis of the proposal of the experts and resubmitted in a second or further round, until a consensus was reached among all. From the first round of the survey a strong consensus was reached regarding the opportunity to revise the R-ISS including chromosome 1 abnormality, TP53 mutation or deletion, circulating plasma cells by next generation flow and extramedullary plasmacytomas. No consensus was reached for the definition of "double hit" MM and for the application in clinical practice of treatment strategies based on the risk category. In the second round of the Delphi questionnaire, "double-hit" MM was recognized by the association of at least two high-risk cytogenetic or molecular abnormalities. Moreover, the experts agreed to reserve an intensified treatment only to specific conditions, such as plasma cell leukaemia or patients with multiple extramedullary plasmacytomas, while they admitted that there are not sufficient real word data in order to modify treatment on the basis of MRD assessment in clinical practice. This survey suggests that the definition of HRMM should be implemented by additional clinical and biological risk factors, that will be useful to guide treatment in the future.
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Affiliation(s)
- Chiara Marcon
- Division of Hematology, S. Maria della Misericordia Hospital, Azienda Sanitaria Universitaria Friuli Centrale, Udine, Italy,Department of Area Medica, Udine University, Udine, Italy,*Correspondence: Chiara Marcon,
| | - Valentina Simeon
- Division of Hematology, S. Maria della Misericordia Hospital, Azienda Sanitaria Universitaria Friuli Centrale, Udine, Italy,Department of Area Medica, Udine University, Udine, Italy
| | - Paola Deias
- Division of Hematology and Bone Marrow Transplant Center, Department of Medical Science, R. Binaghi Hospital, Cagliari University, Cagliari, Italy
| | - Gabriele Facchin
- Division of Hematology, S. Maria della Misericordia Hospital, Azienda Sanitaria Universitaria Friuli Centrale, Udine, Italy
| | | | - Daniele Derudas
- Division of Hematology and Bone Marrow Transplant Center, A. Businco Cancer Hospital, Cagliari, Italy
| | - Vittorio Montefusco
- Division of Hematology, Azienda Socio Sanitaria Territoriale (ASST) Santi Paolo e Carlo, Milan, Italy
| | - Massimo Offidani
- Clinical Hematology, Azienda Ospedaliera Universitaria (AOU) Ospedali Riuniti di Ancona, Ancona, Italy
| | - Maria Teresa Petrucci
- Division of Hematology, Department of Translational and Precision Medicine, Azienda Ospedaliera Policlinico Umberto I, Sapienza University of Rome, Rome, Italy
| | - Renato Zambello
- Clinical Hematology, Azienda Ospedaliera di Padova, Padua, Italy
| | - Raffaella Stocchi
- Division of Hematology, S. Maria della Misericordia Hospital, Azienda Sanitaria Universitaria Friuli Centrale, Udine, Italy
| | - Renato Fanin
- Division of Hematology, S. Maria della Misericordia Hospital, Azienda Sanitaria Universitaria Friuli Centrale, Udine, Italy,Department of Area Medica, Udine University, Udine, Italy
| | - Francesca Patriarca
- Division of Hematology, S. Maria della Misericordia Hospital, Azienda Sanitaria Universitaria Friuli Centrale, Udine, Italy,Department of Area Medica, Udine University, Udine, Italy
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12
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Zheng T, Chen P, Xu Y, Jia P, Li Y, Li Y, Cao J, Li W, Zhen Y, Zhang Y, Zhang S, Du J, Zhang J. Comprehensive analysis of thirteen-gene panel with prognosis value in Multiple Myeloma. Cancer Biomark 2023; 38:583-593. [PMID: 37980648 DOI: 10.3233/cbm-230115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2023]
Abstract
BACKGROUND Although there are many treatments for Multiple myeloma (MM), patients with MM still unable to escape the recurrence and aggravation of the disease. OBJECTIVE We constructed a risk model based on genes closely associated with MM prognosis to predict its prognostic value. METHODS Gene function enrichment and signal pathway enrichment analysis, Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis, univariate and multivariate Cox regression analysis, Kaplan-Meier (KM) survival analysis and Receiver Operating Characteristic (ROC) analysis were used to identify the prognostic gene signature for MM. Finally, the prognostic gene signature was validated using the Gene Expression Omnibus (GEO) database. RESULTS Thirteen prognostic genes were screened by univariate Cox analysis and LASSO regression analysis. Multivariate Cox analysis revealed risk score to be an independent prognostic factor for patients with MM [Hazard Ratio (HR) = 2.564, 95% Confidence Interval (CI) = 2.223-2.958, P< 0.001]. The risk score had a high level of predictive value according to ROC analysis, with an area under the curve (AUC) of 0.744. CONCLUSIONS The potential prognostic signature of thirteen genes were assessed and a risk model was constructed that significantly correlated with prognosis in MM patients.
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Affiliation(s)
- Tingting Zheng
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Panpan Chen
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Yuanlin Xu
- The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, Henan, China
| | - Peijun Jia
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Yan Li
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Yating Li
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Jiaming Cao
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Wanxin Li
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Yazhe Zhen
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Ying Zhang
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Shijie Zhang
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Jiangfeng Du
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Jingxin Zhang
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
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13
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Falini B, Martino G, Lazzi S. A comparison of the International Consensus and 5th World Health Organization classifications of mature B-cell lymphomas. Leukemia 2023; 37:18-34. [PMID: 36460764 PMCID: PMC9883170 DOI: 10.1038/s41375-022-01764-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 11/08/2022] [Accepted: 11/10/2022] [Indexed: 12/03/2022]
Abstract
Several editions of the World Health Organization (WHO) classifications of lympho-hemopoietic neoplasms in 2001, 2008 and 2017 served as the international standard for diagnosis. Since the 4th WHO edition, here referred as WHO-HAEM4, significant clinico-pathological, immunophenotypic and molecular advances have been made in the field of lymphomas, contributing to refining diagnostic criteria of several diseases, to upgrade entities previously defined as provisional and to identify new entities. This process has resulted in two recent classifying proposals of lymphoid neoplasms, the International Consensus Classification (ICC) and the 5th edition of the WHO classification (WHO-HAEM5). In this paper, we review and compare the two classifications in terms of diagnostic criteria and entity definition, with focus on mature B-cell neoplasms. The main aim is to provide a tool to facilitate the work of pathologists, hematologists and researchers involved in the diagnosis and treatment of lymphomas.
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Affiliation(s)
- Brunangelo Falini
- Institute of Hematology and CREO, University of Perugia, Perugia, Italy.
| | - Giovanni Martino
- Institute of Hematology and CREO, University of Perugia, Perugia, Italy
| | - Stefano Lazzi
- Institute of Pathology, Department of Medical Biotechnology, University of Siena, Siena, Italy
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14
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Kaloyannidis P, Abdulla F, Mutahar E, Al Hashim H, Al Harbi S, Estanislao A, Al Hashmi H. Risk Assessment for Newly Diagnosed Fit Young Patients with Multiple Myeloma in the Era of Novel Treatment Modalities: Should There Be Additional Factors Taken into Consideration?? J Blood Med 2022; 13:619-630. [PMID: 36317167 PMCID: PMC9617519 DOI: 10.2147/jbm.s380133] [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: 06/29/2022] [Accepted: 09/09/2022] [Indexed: 11/23/2022] Open
Abstract
Introduction The optimal treatment for young patients with high-risk newly diagnosed multiple myeloma (NDMM) remains a challenge. Methods We retrospectively evaluated 58 NDMM patients younger than 55 years treated in our center from 2010 to 2021 with the current recommended protocols. Results After a median follow-up of 48 months, median overall survival (OS) was not reached; however, approximately 25% of them died within 4 years after diagnosis. Advanced disease stage, presence of extramedullary disease, elevated LDH, and less than very good remission before autologous hematopoietic stem-cell transplantation adversely affected patient survival. Based on these factors, we created a risk-assessment scoring system that sufficiently discriminated young NDMM patients at risk of poor outcome. The 4-year OS was superior for patients with zero to two factors to those with three to five factors (86% vs 44%, p<0.001). Conclusion The proposed scoring system could be reliably used at diagnosis and at interim disease evaluation in aiming for personalized treatment for young NDMM patients.
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Affiliation(s)
- Panayotis Kaloyannidis
- Adult Hematology and Stem Cell Transplantation Department, King Fahad Specialist Hospital, Dammam, Saudi Arabia,Correspondence: Panayotis Kaloyannidis, Adults Hematology and Stem Cell Transplantation Department, King Fahad Specialist Hospital, Ammar Bin Thabit Street, Al Muraikabat, Dammam, 31444, Saudi Arabia, Tel +966-330-1174, Fax +966 13 844-2222, Email ;
| | - Fatema Abdulla
- Adult Hematology and Stem Cell Transplantation Department, King Fahad Specialist Hospital, Dammam, Saudi Arabia
| | - Enas Mutahar
- Adult Hematology and Stem Cell Transplantation Department, King Fahad Specialist Hospital, Dammam, Saudi Arabia
| | - Haidar Al Hashim
- Adult Hematology and Stem Cell Transplantation Department, King Fahad Specialist Hospital, Dammam, Saudi Arabia
| | - Salman Al Harbi
- Adult Hematology and Stem Cell Transplantation Department, King Fahad Specialist Hospital, Dammam, Saudi Arabia
| | - Analie Estanislao
- Adult Hematology and Stem Cell Transplantation Department, King Fahad Specialist Hospital, Dammam, Saudi Arabia
| | - Hani Al Hashmi
- Adult Hematology and Stem Cell Transplantation Department, King Fahad Specialist Hospital, Dammam, Saudi Arabia
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15
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Huo Z, Chen F, Liu P, Luo Z. Ixazomib combined with lenalidomide and dexamethasone chemotherapy for newly diagnosed multiple myeloma in China-Compared with bortezomib/lenalidomide/dexamethasone. Cancer Med 2022; 12:2937-2944. [PMID: 36052569 PMCID: PMC9939219 DOI: 10.1002/cam4.5198] [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: 12/05/2021] [Revised: 07/22/2022] [Accepted: 08/23/2022] [Indexed: 11/09/2022] Open
Abstract
BACKGROUND To compare the response and safety of Ixazomib/Lenalidomide/Dexamethasone (IRd) and Bortezomib/Lenalidomide/Dexamethasone (VRd) treatment in newly diagnosed multiple myeloma (MM). METHODS This was a single-center retrospective analysis in Xiangtan Central Hospital. A total of 52 newly diagnosed MM patients from June 2019 to June 2021 were enrolled and divided into the IRd (n = 21) and VRd (n = 31) groups. After 4 cycles of chemotherapy, the best response and adverse events were recorded. Moreover, the progression-free survival (PFS) and overall survival (OS) were calculated. RESULTS Patients in IRd group and VRd group showed similar PFS (Log-rank p = 0.70), OS (Log-rank p = 0.61) and overall response rate (83.87% vs 90.48%, p = 0.803). In addition, patients in VRd group showed lower Eastern Cooperative Oncology Group scores (p = 0.047), and higher incidence of peripheral sensory neuropathy (0.00% vs 19.35%, p = 0.032) than that of patients in IRd group. CONCLUSION Compared to VRd regimen, IRd had the similar efficacy, better safety, and may be more convenient for patients with poor basic condition for newly diagnosed MM. This study provides an insight for physicians to use IRd as first-line treatment in MM.
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Affiliation(s)
- Zhongjun Huo
- Department of HematologyCentral Hospital of XiangtanXiangTanChina
| | - Fang Chen
- Department of HematologyCentral Hospital of XiangtanXiangTanChina
| | - Ping Liu
- Department of HematologyCentral Hospital of XiangtanXiangTanChina
| | - Zimian Luo
- Department of HematologyCentral Hospital of XiangtanXiangTanChina
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16
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Yang X, Liu A, Yang L, Wen T, Wang J, Shi J, Zhou H, Chen Z, Lei M, Zhu Y. Preclinical Pharmacokinetics, Tissue Distribution and in vitro Metabolism of FHND6091, a Novel Oral Proteasome Inhibitor. Drug Des Devel Ther 2022; 16:3087-3107. [PMID: 36124108 PMCID: PMC9482464 DOI: 10.2147/dddt.s371020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 08/05/2022] [Indexed: 11/23/2022] Open
Abstract
Introduction Methods Results Conclusion
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Affiliation(s)
- Xu Yang
- College of Science, Nanjing Forestry University, Nanjing, People’s Republic of China
| | - Amin Liu
- College of Science, Nanjing Forestry University, Nanjing, People’s Republic of China
| | - Lin Yang
- College of Science, Nanjing Forestry University, Nanjing, People’s Republic of China
| | - Tiantian Wen
- College of Life Science, Nanjing Normal University, Nanjing, People’s Republic of China
| | - Jia Wang
- Jiangsu Chia Tai Fenghai Pharmaceutical Co. Ltd, Nanjing, People’s Republic of China
| | - Jingmiao Shi
- Jiangsu Chia Tai Fenghai Pharmaceutical Co. Ltd, Nanjing, People’s Republic of China
| | - Hui Zhou
- College of Life Science, Nanjing Normal University, Nanjing, People’s Republic of China
| | - Zhimeng Chen
- College of Science, Nanjing Forestry University, Nanjing, People’s Republic of China
| | - Meng Lei
- College of Science, Nanjing Forestry University, Nanjing, People’s Republic of China
- Correspondence: Meng Lei; Yongqiang Zhu, Tel +86 25 85427621; +86 25 85891591, Email ;
| | - Yongqiang Zhu
- College of Life Science, Nanjing Normal University, Nanjing, People’s Republic of China
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17
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Zhou F, Guo L. Lncrna ANGPTL1-3 and its target microRNA-30a exhibit potency as biomarkers for bortezomib response and prognosis in multiple myeloma patients. Hematology 2022; 27:596-602. [PMID: 35617291 DOI: 10.1080/16078454.2022.2072062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
OBJECTIVE Long non-coding RNA ANGPTL1-3 (lnc-ANGPTL1-3) is previously observed to induce bortezomib resistance via targeting microRNA-30a (miR-30a) in multiple myeloma (MM). Hence, this study aimed to further explore the relationship between lnc-ANGPTL1-3 and miR-30a and their linkage with disease properties and prognosis in bortezomib-treated MM patients. METHODS Fifty-nine MM patients underwent treatment with the bortezomib-based regimen, and 30 healthy donors were consecutively enrolled. Bone marrow samples were collected from MM patients (before therapy) and healthy donors; then, plasma cells were separated for lnc-ANGPTL1-3 and miR-30a detection by RT-qPCR. Then treatment response, progression-free survival (PFS), and overall survival (OS) of MM patients were assessed. RESULTS Lnc-ANGPTL1-3 was upregulated while miR-30a was downregulated in MM patients compared to healthy donors (both P < 0.001), then a negative correlation between lnc-ANGPTL1-3 and miR-30a was found in MM patients (P < 0.001) instead of in health donors (P = 0.188). In MM patients, lnc-ANGPTL1-3 correlated with increased t (4;14) (P = 0.033), Del (17p) (P = 0.018), ISS stage (P = 0.020), R-ISS stage (P = 0.025) but not t (14;16) (P = 0.255) or Durie-Salmon stage (P = 0.186); while miR-30a only related to decreased t (14;16) (P = 0.025) and R-ISS stage (P = 0.006). Besides, lnc-ANGPTL1-3 predicted lower complete response (CR) (P = 0.034), poor PFS (P = 0.016) and OS (P = 0.041) but not objective response rate (ORR) (P = 0.128). However, miR-30a forecasted higher CR (P = 0.013), prolonged PFS (P = 0.014), and OS (P = 0.045) but not ORR (P = 0.407). CONCLUSION Lnc-ANGPTL1-3 negative correlates with miR-30a, which links with key cytogenetic features, ISS/R-ISS stage, and prognosis in MM patients who underwent treatment of bortezomib-based regimen.
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Affiliation(s)
- Fangfang Zhou
- Department of Hematology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Liyin Guo
- Department of Hematology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
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Goel U, Usmani S, Kumar S. Current approaches to management of newly diagnosed multiple myeloma. Am J Hematol 2022; 97 Suppl 1:S3-S25. [PMID: 35234302 DOI: 10.1002/ajh.26512] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 02/24/2022] [Accepted: 02/25/2022] [Indexed: 12/16/2022]
Abstract
Major developments in the treatment of multiple myeloma (MM) over the past decade have led to a continued improvement in survival. Significant progress has been made with deeper and longer remissions seen with newer treatment approaches-both for induction as well as maintenance therapy. The treatment approach to MM is guided by several factors including patient age, frailty, comorbidities, eligibility for autologous stem cell transplantation (ASCT), and risk stratification into standard-risk or high-risk MM. High-risk MM is defined by the presence of t(4;14), t(14;16), t(14;20), del (17p), TP53 mutation, or gain (1q). Transplant eligible patients should receive 4-6 cycles of induction followed by stem cell collection. Patients can then undergo ASCT, or continue induction therapy and shift to maintenance, delaying ASCT till first relapse. Transplant ineligible patients should receive induction therapy followed by maintenance. For induction therapy prior to ASCT, a proteasome inhibitor-IMiD combination remains standard with monoclonal antibody-based quadruplets preferred in high-risk patients. Among transplant ineligible patients, those with standard-risk MM should receive DRd continued until disease progression, while bortezomib containing regimens (VRd or VRd lite) can be considered for high-risk patients. Finally, standard-risk patients should receive lenalidomide maintenance after induction/ASCT, while proteasome inhibitor-IMiD combinations should be used for high-risk patients.
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Affiliation(s)
- Utkarsh Goel
- Division of Hematology, Department of Medicine Mayo Clinic Rochester Minnesota USA
| | - Saad Usmani
- Multiple Myeloma Service, Department of medicine Memorial Sloan Kettering Cancer Center New York New York USA
| | - Shaji Kumar
- Division of Hematology, Department of Medicine Mayo Clinic Rochester Minnesota USA
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Revisiting Proteasome Inhibitors: Molecular Underpinnings of Their Development, Mechanisms of Resistance and Strategies to Overcome Anti-Cancer Drug Resistance. Molecules 2022; 27:molecules27072201. [PMID: 35408601 PMCID: PMC9000344 DOI: 10.3390/molecules27072201] [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] [Received: 02/28/2022] [Revised: 03/22/2022] [Accepted: 03/23/2022] [Indexed: 02/04/2023] Open
Abstract
Proteasome inhibitors have shown relevant clinical activity in several hematological malignancies, namely in multiple myeloma and mantle cell lymphoma, improving patient outcomes such as survival and quality of life, when compared with other therapies. However, initial response to the therapy is a challenge as most patients show an innate resistance to proteasome inhibitors, and those that respond to the therapy usually develop late relapses suggesting the development of acquired resistance. The mechanisms of resistance to proteasome inhibition are still controversial and scarce in the literature. In this review, we discuss the development of proteasome inhibitors and the mechanisms of innate and acquired resistance to their activity—a major challenge in preclinical and clinical therapeutics. An improved understanding of these mechanisms is crucial to guiding the design of new and more effective drugs to tackle these devastating diseases. In addition, we provide a comprehensive overview of proteasome inhibitors used in combination with other chemotherapeutic agents, as this is a key strategy to combat resistance.
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Cerchione C, Usmani SZ, Stewart AK, Kaiser M, Rasche L, Kortüm M, Mateos MV, Spencer A, Sonneveld P, Anderson KC. Gene Expression Profiling in Multiple Myeloma: Redefining the Paradigm of Risk-Adapted Treatment. Front Oncol 2022; 12:820768. [PMID: 35211412 PMCID: PMC8861274 DOI: 10.3389/fonc.2022.820768] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 01/14/2022] [Indexed: 12/31/2022] Open
Abstract
Multiple myeloma is a blood cancer characterized by clonal proliferation of plasma cells in the bone marrow. In recent years, several new drugs have been added to the therapeutic landscape of multiple myeloma, which have contributed to increased survival rates. However, while the use of therapeutics has evolved, there is still a group of high-risk patients who do not benefit from current treatment strategies. Risk stratification and risk-adapted treatment are crucial to identify the group of patients with urgent need for novel therapies. Gene expression profiling has been introduced as a tool for risk stratification in multiple myeloma based on the genetic make-up of myeloma cells. In this review we discuss the challenge of defining the high-risk multiple myeloma patient. We focus on the standardized analysis of myeloma cancer cells by gene expression profiling and describe how gene expression profiling provides additional insights for optimal risk-adapted treatment of patients suffering from multiple myeloma.
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Affiliation(s)
- Claudio Cerchione
- Hematology Unit, IRCCS Istituto Scientifico Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Meldola, Italy
| | - Saad Z. Usmani
- Division of Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - A. Keith Stewart
- Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Martin Kaiser
- Division of Molecular Pathology, The Institute of Cancer Research, London, United Kingdom
- Department of Haematology, The Royal Marsden Hospital, London, United Kingdom
| | - Leo Rasche
- Department of Internal Medicine II, University Hospital of Würzburg, Würzburg, Germany
| | - Martin Kortüm
- Department of Internal Medicine II, University Hospital of Würzburg, Würzburg, Germany
| | | | - Andrew Spencer
- Malignant Haematology and Stem Cell Transplantation Service, Alfred Hospital-Monash University, Melbourne, Australia
| | - Pieter Sonneveld
- Department of Hematology, Erasmus MC Cancer Institute Rotterdam, Rotterdam, Netherlands
| | - Kenneth C. Anderson
- Jerome Lipper Multiple Myeloma Center, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, United States
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Gilchrist A, Echeverria SL. Targeting Chemokine Receptor CCR1 as a Potential Therapeutic Approach for Multiple Myeloma. Front Endocrinol (Lausanne) 2022; 13:846310. [PMID: 35399952 PMCID: PMC8991687 DOI: 10.3389/fendo.2022.846310] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 02/08/2022] [Indexed: 02/01/2023] Open
Abstract
Multiple myeloma is an incurable plasma B-cell malignancy with 5-year survival rates approximately 10-30% lower than other hematologic cancers. Treatment options include combination chemotherapy followed by autologous stem cell transplantation. However, not all patients are eligible for autologous stem cell transplantation, and current pharmacological agents are limited in their ability to reduce tumor burden and extend multiple myeloma remission times. The "chemokine network" is comprised of chemokines and their cognate receptors, and is a critical component of the normal bone microenvironment as well as the tumor microenvironment of multiple myeloma. Antagonists targeting chemokine-receptor 1 (CCR1) may provide a novel approach for treating multiple myeloma. In vitro CCR1 antagonists display a high degree of specificity, and in some cases signaling bias. In vivo studies have shown they can reduce tumor burden, minimize osteolytic bone damage, deter metastasis, and limit disease progression in multiple myeloma models. While multiple CCR1 antagonists have entered the drug pipeline, none have entered clinical trials for treatment of multiple myeloma. This review will discuss whether current CCR1 antagonists are a viable treatment option for multiple myeloma, and studies aimed at identifying which CCR1 antagonist(s) are most appropriate for this disease.
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Affiliation(s)
- Annette Gilchrist
- College of Pharmacy-Downers Grove, Department of Pharmaceutical Sciences, Midwestern University, Downers Grove, IL, United States
- *Correspondence: Annette Gilchrist,
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