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Pilcher WC, Yao L, Gonzalez-Kozlova E, Pita-Juarez Y, Karagkouni D, Acharya CR, Michaud ME, Hamilton M, Nanda S, Song Y, Sato K, Wang JT, Satpathy S, Ma Y, Schulman J, D'Souza D, Jayasinghe RG, Cheloni G, Bakhtiari M, Pabustan N, Nie K, Foltz JA, Saldarriaga I, Alaaeldin R, Lepisto E, Chen R, Fiala MA, Thomas BE, Cook A, Dos Santos JV, Chiang IL, Figueiredo I, Fortier J, Slade M, Oh ST, Rettig MP, Anderson E, Li Y, Dasari S, Strausbauch MA, Simon VA, Rahman AH, Chen Z, Lagana A, DiPersio JF, Rosenblatt J, Kim-Schulze S, Dhodapkar MV, Lonial S, Kumar S, Bhasin SS, Kourelis T, Vij R, Avigan D, Cho HJ, Mulligan G, Ding L, Gnjatic S, Vlachos IS, Bhasin M. A single-cell atlas characterizes dysregulation of the bone marrow immune microenvironment associated with outcomes in multiple myeloma. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.15.593193. [PMID: 38798338 PMCID: PMC11118283 DOI: 10.1101/2024.05.15.593193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Multiple Myeloma (MM) remains incurable despite advances in treatment options. Although tumor subtypes and specific DNA abnormalities are linked to worse prognosis, the impact of immune dysfunction on disease emergence and/or treatment sensitivity remains unclear. We established a harmonized consortium to generate an Immune Atlas of MM aimed at informing disease etiology, risk stratification, and potential therapeutic strategies. We generated a transcriptome profile of 1,149,344 single cells from the bone marrow of 263 newly diagnosed patients enrolled in the CoMMpass study and characterized immune and hematopoietic cell populations. Associating cell abundances and gene expression with disease progression revealed the presence of a proinflammatory immune senescence-associated secretory phenotype in rapidly progressing patients. Furthermore, signaling analyses suggested active intercellular communication involving APRIL-BCMA, potentially promoting tumor growth and survival. Finally, we demonstrate that integrating immune cell levels with genetic information can significantly improve patient stratification.
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2
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Özlü C, Yalçin C. Effects of methane emissions on multiple myeloma-related mortality rates: A World Health Organization perspective. Medicine (Baltimore) 2024; 103:e37580. [PMID: 38608057 PMCID: PMC11018147 DOI: 10.1097/md.0000000000037580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 02/21/2024] [Indexed: 04/14/2024] Open
Abstract
In this research, it was aimed to evaluate effects of methane emissions on multiple myeloma related mortality rates. Two countries in Europe (Germany and Netherlands) and 1 country for each region (Turkey, USA, Brazil, Egypt, and Australia) were selected within The World Health Organization Database. Multiple myeloma mortality rates of countries between 2009 and 2019 were used as dependent variable of the research. Methane emission level and agriculture methane levels of countries were used as independent variables from The World Bank Database. Current health expenditure and healthy life expectancy were used as controlling variables. Multiple myeloma-related mortality rate was the highest in the USA, followed by Germany, Brazil, Turkey, Australia, Netherlands, and Egypt. Difference analysis results were significant (P < .05). Methane and agriculture methane emissions were the highest in the USA. Multiple myeloma mortality was positively correlated with methane emissions (R = 0.504; P < .01), agricultural methane emissions (R = 0.705; P < .01), and current health expenditure (R = 0.528; P < .01). According to year and country controlled correlation analysis results, multiple myeloma mortality (MMM) was positively correlated with methane emissions (R = 0.889; P < .01), agricultural methane emissions (R = 0.495; P < .01), and current health expenditure (R = 0.704; P < .01). Methane emission (B = 0.01; P < .05), Germany (B = 9010.81; P < .01), the USA (B = 26516.77; P < .01), and Brazil (B = 4886.14; P < .01) had significant effect on MMM. Nonagricultural methane production has an increasing effect on MMM. Therefore, by looking at the differences between agricultural methane emissions and general methane emissions, studies can be conducted that allow for more effective global comparisons.
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Affiliation(s)
- Can Özlü
- Internal Diseases, Hematology, Medicine Faculty, Kutahya Health Sciences University, Kütahya, Turkey
| | - Cumali Yalçin
- Internal Diseases, Hematology, Medicine Faculty, Kutahya Health Sciences University, Kütahya, Turkey
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3
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Nakamura N, Arima N, Takakuwa T, Yoshioka S, Imada K, Fukushima K, Hotta M, Fuchida SI, Kanda J, Uoshima N, Shimura Y, Tanaka H, Ohta K, Kosugi S, Yagi H, Yoshihara S, Yamamura R, Adachi Y, Hanamoto H, Shibayama H, Hosen N, Ito T, Shimazaki C, Takaori-Kondo A, Kuroda J, Matsumura I, Hino M. Efficacy of elotuzumab for multiple myeloma deteriorates after daratumumab: a multicenter retrospective study. Ann Hematol 2024:10.1007/s00277-024-05705-z. [PMID: 38492020 DOI: 10.1007/s00277-024-05705-z] [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: 11/30/2023] [Accepted: 03/10/2024] [Indexed: 03/18/2024]
Abstract
Elotuzumab-based regimens are sometimes selected for multiple myeloma treatment after daratumumab-based regimens. However, there has been insufficient discussion on the efficacy of elotuzumab after daratumumab. We used Kansai Myeloma Forum registration data in a multicenter retrospective evaluation of the efficacy of elotuzumab after daratumumab. Overall survival (OS) rate and time to next treatment (TTNT) were significantly worse in the cohort given elotuzumab after daratumumab (Dara cohort, n = 47) than in the cohort with no history of daratumumab administration before elotuzumab (No-Dara cohort, n = 80, OS: P = 0.03; TTNT: P = 0.02; best response: P < 0.01). In the Dara cohort, OS and TTNT rates were worse with sequential elotuzumab use after daratumumab than with non-sequential (OS: P = 0.02; TTNT: P = 0.03). In patients given elotuzumab < 180 days after daratumumab, OS (P = 0.08) and best response (P = 0.21) tended to be worse, and TTNT was significantly worse (P = 0.01), than in those given elotuzumab after ≥ 180 days. These findings were confirmed by subgroup analyses and multivariate analyses. Monoclonal-antibody-free treatment might be preferable after daratumumab-based regimens. If possible, elotuzumab-based regimens should be considered only ≥ 180 days after daratumumab use.
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Affiliation(s)
- Naokazu Nakamura
- Department of Hematology, Shinko Hospital, 1-4-47, Wakihamacho, Chuo-Ku, Kobe, Hyogo, 651-0072, Japan.
- Department of Hematology and Oncology Graduate School of Medicine, Kyoto University, Kyoto, Japan.
| | - Nobuyoshi Arima
- Department of Hematology, Shinko Hospital, 1-4-47, Wakihamacho, Chuo-Ku, Kobe, Hyogo, 651-0072, Japan
| | - Teruhito Takakuwa
- Department of Hematology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan
| | - Satoshi Yoshioka
- Department of Hematology, Japanese Red Cross Osaka Hospital, Osaka, Japan
| | - Kazunori Imada
- Department of Hematology, Japanese Red Cross Osaka Hospital, Osaka, Japan
| | - Kentaro Fukushima
- Department of Hematology and Oncology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Masaaki Hotta
- First Department of Internal Medicine, Kansai Medical University, Hirakata, Japan
| | - Shin-Ichi Fuchida
- Department of Hematology, Japan Community Health Care Organization Kyoto Kuramaguchi Medical Center, Kyoto, Japan
| | - Junya Kanda
- Department of Hematology and Oncology Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Nobuhiko Uoshima
- Department of Hematology, Japanese Red Cross Kyoto Daini Hospital, Kyoto, Japan
| | - Yuji Shimura
- Division of Hematology and Oncology, Department of Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Hirokazu Tanaka
- Department of Hematology and Rheumatology, Faculty of Medicine, Kindai University, Osakasayama, Japan
| | | | - Satoru Kosugi
- Department of Internal Medicine (Hematology), Toyonaka Municipal Hospital, Toyonaka, Japan
| | - Hideo Yagi
- Department of Hematology and Oncology, Nara Prefecture General Medical Center, Nara, Japan
| | - Satoshi Yoshihara
- Division of Hematology, Department of Internal Medicine, Hyogo College of Medicine, Nishinomiya, Japan
| | - Ryosuke Yamamura
- Department of Hematology, Osaka Saiseikai Nakatsu Hospital, Nakatsu, Japan
| | - Yoko Adachi
- Department of Internal Medicine, JCHO Kobe Central Hospital, Kobe, Japan
| | - Hitoshi Hanamoto
- Department of Hematology, Kindai University Nara Hospital, Nara, Japan
| | - Hirohiko Shibayama
- Department of Hematology, National Hospital Organization Osaka National Hospital, Osaka, Japan
| | - Naoki Hosen
- Department of Hematology and Oncology, Osaka University Graduate School of Medicine, Suita, Japan
| | - Tomoki Ito
- First Department of Internal Medicine, Kansai Medical University, Hirakata, Japan
| | - Chihiro Shimazaki
- Department of Hematology, Japan Community Health Care Organization Kyoto Kuramaguchi Medical Center, Kyoto, Japan
| | - Akifumi Takaori-Kondo
- Department of Hematology and Oncology Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Junya Kuroda
- Division of Hematology and Oncology, Department of Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Itaru Matsumura
- Department of Hematology and Rheumatology, Faculty of Medicine, Kindai University, Osakasayama, Japan
| | - Masayuki Hino
- Department of Hematology, Osaka Metropolitan University Graduate School of Medicine, Osaka, Japan
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4
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Liu H, Chan S, Li M, Chen S. Cuproptosis-Related Gene Signature Contributes to Prognostic Prediction and Immunosuppression in Multiple Myeloma. Mol Biotechnol 2024; 66:475-488. [PMID: 37213025 DOI: 10.1007/s12033-023-00770-7] [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: 01/14/2023] [Accepted: 05/08/2023] [Indexed: 05/23/2023]
Abstract
Cuproptosis is a type of programmed cell death triggered by accumulation of intracellular copper which was considered closely related to tumor progression. The study of cuproptosis in multiple myeloma (MM) is however limited. To determine the prognostic significance of cuproptosis-related gene signature in MM, we interrogated gene expression and overall survival with other available clinical variables from public datasets. Four cuproptosis-related genes were included to establish a prognostic survival model by least absolute shrinkage and selection operator (LASSO) Cox regression analysis, which showed a good performance on prognosis prediction in both training and validation cohorts. Patients with higher cuproptosis-related risk score (CRRS) exhibited worse prognosis compared with lower risk score. Survival prediction capacity and clinical benefit were elevated after integrating CRRS to existing prognostic stratification system (International Staging System, ISS or Revised International Staging System, RISS) both on 3-year and 5-year survival. Based on CRRS groups, functional enrichment analysis and immune infiltration in bone marrow microenvironment revealed correlation between CRRS and immunosuppression. In conclusion, our study found that cuproptosis-related gene signature is an independent poor prognostic factor and functions negatively on immune microenvironment, which provides another perspective on prognosis assessment and immunotherapy strategy in MM.
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Affiliation(s)
- Huixin Liu
- Department of Hematopathology, The First Affiliated Hospital, Sun Yat-sen University, No. 58, Zhongshan 2Nd Road, Guangzhou, 510080, China.
| | - Szehoi Chan
- Department of Pharmacology, Molecular Cancer Research Center, School of Medicine, Sun Yat-sen University, No.66, Gongchang Road, Shenzhen, 518107, China
| | - Miao Li
- Department of Pharmacology, Molecular Cancer Research Center, School of Medicine, Sun Yat-sen University, No.66, Gongchang Road, Shenzhen, 518107, China
| | - Shuna Chen
- Department of Pharmacology, Molecular Cancer Research Center, School of Medicine, Sun Yat-sen University, No.66, Gongchang Road, Shenzhen, 518107, China
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5
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Terragna C, Poletti A, Solli V, Martello M, Zamagni E, Pantani L, Borsi E, Vigliotta I, Mazzocchetti G, Armuzzi S, Taurisano B, Testoni N, Marzocchi G, Kanapari A, Pistis I, Tacchetti P, Mancuso K, Rocchi S, Rizzello I, Cavo M. Multi-dimensional scaling techniques unveiled gain1q&loss13q co-occurrence in Multiple Myeloma patients with specific genomic, transcriptional and adverse clinical features. Nat Commun 2024; 15:1551. [PMID: 38378709 PMCID: PMC10879136 DOI: 10.1038/s41467-024-45000-z] [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: 04/28/2023] [Accepted: 01/11/2024] [Indexed: 02/22/2024] Open
Abstract
The complexity of Multiple Myeloma (MM) is driven by several genomic aberrations, interacting with disease-related and/or -unrelated factors and conditioning patients' clinical outcome. Patient's prognosis is hardly predictable, as commonly employed MM risk models do not precisely partition high- from low-risk patients, preventing the reliable recognition of early relapsing/refractory patients. By a dimensionality reduction approach, here we dissect the genomic landscape of a large cohort of newly diagnosed MM patients, modelling all the possible interactions between any MM chromosomal alterations. We highlight the presence of a distinguished cluster of patients in the low-dimensionality space, with unfavorable clinical behavior, whose biology was driven by the co-occurrence of chromosomes 1q CN gain and 13 CN loss. Presence or absence of these alterations define MM patients overexpressing either CCND2 or CCND1, fostering the implementation of biology-based patients' classification models to describe the different MM clinical behaviors.
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Affiliation(s)
- Carolina Terragna
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy.
| | - Andrea Poletti
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
- DIMEC-Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Vincenza Solli
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
- DIMEC-Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Marina Martello
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
- DIMEC-Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Elena Zamagni
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
- DIMEC-Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Lucia Pantani
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
| | - Enrica Borsi
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
| | - Ilaria Vigliotta
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
- DIMEC-Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Gaia Mazzocchetti
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
- DIMEC-Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Silvia Armuzzi
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
- DIMEC-Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Barbara Taurisano
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
- DIMEC-Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Nicoletta Testoni
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
- DIMEC-Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Giulia Marzocchi
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
- DIMEC-Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Ajsi Kanapari
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
- DIMEC-Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Ignazia Pistis
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
| | - Paola Tacchetti
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
| | - Katia Mancuso
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
- DIMEC-Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Serena Rocchi
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
- DIMEC-Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Ilaria Rizzello
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
- DIMEC-Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
| | - Michele Cavo
- IRCCS Azienda Ospedaliero-Universitaria di Bologna-Istituto di Ematologia "Seràgnoli", Bologna, Italy
- DIMEC-Department of Medical and Surgical Science, University of Bologna, Bologna, Italy
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6
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Singh RK, Jones RJ, Shirazi F, Qin L, Zou J, Hong S, Wang H, Lee HC, Patel KK, Wan J, Choudhary RK, Kuiatse I, Pahl A, Orlowski RZ. Novel Anti-B-cell Maturation Antigen Alpha-Amanitin Antibody-drug Conjugate HDP-101 Shows Superior Activity to Belantamab Mafodotin and Enhanced Efficacy in Deletion 17p Myeloma Models. RESEARCH SQUARE 2024:rs.3.rs-3843028. [PMID: 38260385 PMCID: PMC10802748 DOI: 10.21203/rs.3.rs-3843028/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
B-cell maturation antigen (BCMA) plays a pathobiologic role in myeloma and is a validated target with five BCMA-specific therapeutics having been approved for relapsed/refractory disease. However, these drugs are not curative, and responses are inferior in patients with molecularly-defined high-risk disease, including those with deletion 17p (del17p) involving the tumor suppressor TP53, supporting the need for further drug development. Del17p has been associated with reduced copy number and gene expression of RNA polymerase II subunit alpha (POLR2A) in other tumor types. We therefore studied the possibility that HDP-101, an anti-BCMA antibody drug conjugate (ADC) with the POLR2A poison α-amanitin could be an attractive agent in myeloma, especially with del17p. HDP-101 reduced viability in myeloma cell lines representing different molecular disease subtypes, and overcame adhesion-mediated and both conventional and novel drug resistance. After confirming that del17p is associated with reduced POLR2A levels in publicly available myeloma patient databases, we engineered TP53 wild-type cells with a TP53 knockout (KO), POLR2A knockdown (KD), or both, the latter to mimic del17p. HDP-101 showed potent anti-myeloma activity against all tested cell lines, and exerted enhanced efficacy against POLR2A KD and dual TP53 KO/POLR2A KD cells. Mechanistic studies showed HDP-101 up-regulated the unfolded protein response, activated apoptosis, and induced immunogenic cell death. Notably, HDP-101 impacted CD138-positive but not-negative primary cells, showed potent efficacy against aldehyde dehydrogenase-positive clonogenic cells, and eradicated myeloma in an in vivo cell line-derived xenograft (CDX). Interestingly, in the CDX model, prior treatment with HDP-101 precluded subsequent engraftment on tumor cell line rechallenge in a manner that appeared to be dependent in part on natural killer cells and macrophages. Finally, HDP-101 was superior to the BCMA-targeted ADC belantamab mafodotin against cell lines and primary myeloma cells in vitro, and in an in vivo CDX. Together, the data support the rationale for translation of HDP-101 to the clinic, where it is now undergoing Phase I trials, and suggest that it could emerge as a more potent ADC for myeloma with especially interesting activity against the high-risk del17p myeloma subtype.
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Affiliation(s)
| | | | | | - Li Qin
- The University of Texas MD Anderson Cancer Center
| | - Jianxuan Zou
- The University of Texas MD Anderson Cancer Center
| | - Samuel Hong
- The University of Texas MD Anderson Cancer Center
| | - Hua Wang
- The University of Texas MD Anderson Cancer Center
| | - Hans C Lee
- The University of Texas MD Anderson Cancer Center
| | | | - Jie Wan
- The University of Texas MD Anderson Cancer Center
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7
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Gay F. A rational approach to functional high-risk myeloma. HEMATOLOGY. AMERICAN SOCIETY OF HEMATOLOGY. EDUCATION PROGRAM 2023; 2023:433-442. [PMID: 38066896 PMCID: PMC10727111 DOI: 10.1182/hematology.2023000443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
Multiple myeloma is a clinically and biologically highly heterogeneous disease, as the overall survival can vary from more than a decade in patients with standard risk disease treated with intensive chemotherapy to 2-3 years in patients with high-risk features. The current staging systems, which rely on baseline biological risk factors to stratify patients into groups with differing risks of progression or death, are sometimes suboptimal tools for identifying high-risk patients. This is particularly evident when considering the so-called functional high-risk patients-patients who do not necessarily display baseline high-risk features but typically show a suboptimal response to induction therapy or relapse early after treatment initiation: the survival of these patients is particularly poor even in the context of newer therapies. The prompt identification, as well as a consistent definition, of this subset of patients, as well as their management, currently represents an unmet medical need. In this review we explore the main characteristics of functional high-risk patients, the available known risk factors and scoring systems, and the possible management.
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Affiliation(s)
- Francesca Gay
- Division of Hematology 1, Clinical Trial Unit, AOU Città della Salute e della Scienza, Department of Molecular Biotechnology and Health Science, University of Torino, Torino, Italy
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8
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Bar N, Firestone RS, Usmani SZ. Aiming for the cure in myeloma: Putting our best foot forward. Blood Rev 2023; 62:101116. [PMID: 37596172 DOI: 10.1016/j.blre.2023.101116] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 07/12/2023] [Accepted: 07/13/2023] [Indexed: 08/20/2023]
Abstract
Frontline therapy for multiple myeloma (MM) is evolving to include novel combinations that can achieve unprecedented deep response rates. Several treatment strategies exist, varying in induction regimen composition, use of transplant and or consolidation and maintenance. In this sea of different treatment permutations, the overarching theme is the powerful prognostic factors of disease risk and achievement of minimal residual disease (MRD) negativity. MM has significant inter-patient variability that requires treatment to be individualized. Risk-adapted and response-adapted strategies which are increasingly being explored to define the extent and duration of therapy, and eventually aim for functional curability. In addition, with T-cell redirection therapies rapidly revolutionizing myeloma treatments, the current standard of care for myeloma will change. This review analyzes the current relevant literature in upfront therapy for fit myeloma patients and provides suggestions for treatment approach while novel clinical trials are maturing.
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Affiliation(s)
- Noffar Bar
- Section of Hematology, Department of Internal Medicine, Yale School of Medicine University, New Haven, CT, USA.
| | - Ross S Firestone
- Multiple Myeloma Service, Department of medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Saad Z Usmani
- Multiple Myeloma Service, Department of medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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9
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Schavgoulidze A, Perrot A, Cazaubiel T, Leleu X, Montes L, Jacquet C, Belhadj K, Brechignac S, Frenzel L, Chalopin T, Rey P, Schiano de Collela JM, Dib M, Caillot D, Macro M, Fontan J, Buisson L, Pavageau L, Roussel M, Manier S, Mohty M, Martinet L, Avet-Loiseau H, Corre J. Prognostic impact of translocation t(14;16) in multiple myeloma according to the presence of additional genetic lesions. Blood Cancer J 2023; 13:160. [PMID: 37880285 PMCID: PMC10600097 DOI: 10.1038/s41408-023-00933-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 10/09/2023] [Accepted: 10/17/2023] [Indexed: 10/27/2023] Open
Affiliation(s)
- Anaïs Schavgoulidze
- Unit for Genomics in Myeloma, University Hospital IUCT-Oncopole, Toulouse, France
- Cancer Research Center of Toulouse (CRCT), Institut National de la Santé et de la Recherche Médicale (INSERM), Centre National de la Recherche Scientifique (CNRS), Université Toulouse III-Paul Sabatier (UPS), Toulouse, France
| | - Aurore Perrot
- Cancer Research Center of Toulouse (CRCT), Institut National de la Santé et de la Recherche Médicale (INSERM), Centre National de la Recherche Scientifique (CNRS), Université Toulouse III-Paul Sabatier (UPS), Toulouse, France
- Hematology Department, IUCT-Oncopole, Toulouse, France
| | | | - Xavier Leleu
- Hematology Department, University Hospital, Poitiers, France
| | - Lydia Montes
- Hematology Department, University Hospital, Amiens, France
| | | | - Karim Belhadj
- Hematology Department, University Hospital, Créteil, France
| | | | - Laurent Frenzel
- Hematology Department, Necker University Hospital, Paris, France
| | | | - Philippe Rey
- Hematology Department, Centre Léon Bérard, Lyon, France
| | | | - Mamoun Dib
- Hematology Department, University Hospital, Angers, France
| | - Denis Caillot
- Hematology Department, Institut de Cancérologie de Bourgogne, Dijon, France
| | - Margaret Macro
- Hematology Department, University Hospital, Caen, France
| | - Jean Fontan
- Hematology Department, University Hospital, Besançon, France
| | - Laure Buisson
- Unit for Genomics in Myeloma, University Hospital IUCT-Oncopole, Toulouse, France
- Cancer Research Center of Toulouse (CRCT), Institut National de la Santé et de la Recherche Médicale (INSERM), Centre National de la Recherche Scientifique (CNRS), Université Toulouse III-Paul Sabatier (UPS), Toulouse, France
| | - Luka Pavageau
- Unit for Genomics in Myeloma, University Hospital IUCT-Oncopole, Toulouse, France
- Cancer Research Center of Toulouse (CRCT), Institut National de la Santé et de la Recherche Médicale (INSERM), Centre National de la Recherche Scientifique (CNRS), Université Toulouse III-Paul Sabatier (UPS), Toulouse, France
| | | | - Salomon Manier
- Hematology Department, University Hospital, Lille, France
| | - Mohamad Mohty
- Hematology Department, Saint-Antoine University Hospital, Paris, France
| | - Ludovic Martinet
- Cancer Research Center of Toulouse (CRCT), Institut National de la Santé et de la Recherche Médicale (INSERM), Centre National de la Recherche Scientifique (CNRS), Université Toulouse III-Paul Sabatier (UPS), Toulouse, France
| | - Hervé Avet-Loiseau
- Unit for Genomics in Myeloma, University Hospital IUCT-Oncopole, Toulouse, France
- Cancer Research Center of Toulouse (CRCT), Institut National de la Santé et de la Recherche Médicale (INSERM), Centre National de la Recherche Scientifique (CNRS), Université Toulouse III-Paul Sabatier (UPS), Toulouse, France
| | - Jill Corre
- Unit for Genomics in Myeloma, University Hospital IUCT-Oncopole, Toulouse, France.
- Cancer Research Center of Toulouse (CRCT), Institut National de la Santé et de la Recherche Médicale (INSERM), Centre National de la Recherche Scientifique (CNRS), Université Toulouse III-Paul Sabatier (UPS), Toulouse, France.
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10
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Banerjee R, Cicero KI, Lee SS, Cowan AJ. Definers and drivers of functional high-risk multiple myeloma: insights from genomic, transcriptomic, and immune profiling. Front Oncol 2023; 13:1240966. [PMID: 37849816 PMCID: PMC10577204 DOI: 10.3389/fonc.2023.1240966] [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: 06/15/2023] [Accepted: 09/18/2023] [Indexed: 10/19/2023] Open
Abstract
Traditional prognostic models for newly diagnosed patients with multiple myeloma (MM), including International Staging System criteria and number of high-risk chromosomal abnormalities, are based on disease characteristics at diagnosis. However, the identification of patients at risk of more rapidly progressive MM is inherently a dynamic assessment. In a subset of patients with MM, adverse disease biology only becomes evident after the failure of first-line therapy. We define this entity as functional high-risk MM (FHRMM), encompassing relapse within 18 months of treatment initiation and/or within 12 months of frontline autologous stem cell transplantation. FHRMM is not adequately captured by traditional prognostic models, and there is a need for better understanding of mechanisms or risk factors for early relapse or progression. In this review, we explore potential definitions of FHRMM before delving into its underlying drivers based on genetic, transcriptomic, and immune cell profiling studies. Emerging data suggest that specific features of both myeloma cells and immune cells can enable the FHRMM phenotype. We conclude our review by discussing ongoing and future studies that seek to identify and intervene upon patients with FHRMM preemptively.
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Affiliation(s)
- Rahul Banerjee
- Division of Hematology and Oncology, Department of Medicine, University of Washington, Seattle, WA, United States
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Kara I. Cicero
- Division of Hematology and Oncology, Department of Medicine, University of Washington, Seattle, WA, United States
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
| | - Sarah S. Lee
- Division of Myeloma, Department of Hematology & Hematopoietic Cell Transplantation, City of Hope, CA, United States
| | - Andrew J. Cowan
- Division of Hematology and Oncology, Department of Medicine, University of Washington, Seattle, WA, United States
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, United States
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11
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Daudignon A, Cuccuini W, Bracquemart C, Godon C, Quilichini B, Penther D. Cytogenetics in the management of multiple Myeloma: The guidelines from the Groupe Francophone de Cytogénétique Hématologique (GFCH). Curr Res Transl Med 2023; 71:103427. [PMID: 38035476 DOI: 10.1016/j.retram.2023.103427] [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] [Revised: 10/20/2023] [Accepted: 10/23/2023] [Indexed: 12/02/2023]
Abstract
Multiple myeloma (MM) is characterized by the accumulation of malignant plasma cells (PCs) in the bone marrow. Despite considerable advances in the treatment, MM is considered an incurable chronic disease with a very heterogeneous prognosis, mostly depending on genomic alterations whose complexity evolves over time. The cytogenetic analysis of MM is performed on CD138+ sorted PCs, in order to detect the following high risk cytogenetic abnormalities: t(4;14), 17p/TP53 deletion, 1q21 gain/amplification, 1p32 deletion, as well as t(11;14) because of its therapeutic implication. This minimal panel can be enlarged to detect other recurrent abnormalities, according to the prognostic score chosen by the laboratory. Although the knowledge of the genetic landscape of MM is evolving rapidly with improved molecular technologies, risk scores remain to be refined as they require more time for consensual validation. The GFCH present here the overview of genomics alterations identified in MM and related PCs diseases associated with their prognostic factor, when available, and recommendations from an expert group for identification and characterization of those alterations. This work is the update of previous 2016 recommendations.
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Affiliation(s)
- Agnès Daudignon
- Institut de Génétique Médicale - Hôpital Jeanne de Flandre - CHU de Lille, Lille, France
| | - Wendy Cuccuini
- Laboratoire d'hématologie, Hôpital Saint-Louis -Assistance Publique-Hôpitaux de Paris (APHP), Paris, France
| | - Claire Bracquemart
- Normandie Univ, UNICAEN, CHU de Caen Normandie, Structure Fédérative d'Oncogénétique cyto-moléculaire (MOCAE), Caen, France
| | - Catherine Godon
- Laboratoire d'Hématologie Biologique, CHU Nantes, Nantes, France
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12
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Yavorkovsky LL. The role of staging in multiple myeloma. Expert Rev Hematol 2023; 16:933-942. [PMID: 37902242 DOI: 10.1080/17474086.2023.2277876] [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: 09/22/2023] [Accepted: 10/27/2023] [Indexed: 10/31/2023]
Abstract
INTRODUCTION The importance of cancer staging is determined by how accurately it can predict prognosis, and how useful it is for treatment decisions. Compared to other malignancies, multiple myeloma (MM) staging proved more challenging because of unreliable prognostic factors and wide-ranging life expectancy. As traditional MM staging continues to evolve, it requires reassessment of its prognostic and predictive value. AREAS COVERED The studies that included prognostic and predictive value of MM stages from 1975 through 2023 were selected for this review using PubMed, MEDLINE platforms. The history and evolution of MM staging are revisited, including its role in predicting survival, treatment planning and potential practical implications for the future. The role of MM staging for oncological practice and patient counseling is discussed. EXPERT OPINION The utility of the traditional MM staging remains unsatisfactory because it lacks a strong connection with the disease biology, prognosis or treatment planning. Additionally, it demonstrates a modest value for patient counseling because individual prognosis is subject to under- or overestimation, and the median survival or survival rates are difficult concepts to grasp. Although the role of MM stages may change in the future, the current research upholds the notion that MM staging benefits more medical research and clinical trials than oncological practice.
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Affiliation(s)
- Leonid L Yavorkovsky
- Kaiser Permanente San Jose Medical Center, Oncology Division, 271 International Circle, San Jose, CA, USA
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13
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Ray U, Orlowski RZ. Antibody-Drug Conjugates for Multiple Myeloma: Just the Beginning, or the Beginning of the End? Pharmaceuticals (Basel) 2023; 16:ph16040590. [PMID: 37111346 PMCID: PMC10145905 DOI: 10.3390/ph16040590] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 03/17/2023] [Accepted: 03/27/2023] [Indexed: 04/29/2023] Open
Abstract
Multiple myeloma is a malignancy of immunoglobulin-secreting plasma cells that is now often treated in the newly diagnosed and relapsed and/or refractory settings with monoclonal antibodies targeting lineage-specific markers used either alone or in rationally designed combination regimens. Among these are the anti-CD38 antibodies daratumumab and isatuximab, and the anti-Signaling lymphocytic activation molecule family member 7 antibody elotuzumab, all of which are used in their unconjugated formats. Single-chain variable fragments from antibodies also form a key element of the chimeric antigen receptors (CARs) in the B-cell maturation antigen (BCMA)-targeted CAR T-cell products idecabtagene vicleucel and ciltacabtagene autoleucel, which are approved in the advanced setting. Most recently, the bispecific anti-BCMA and T-cell-engaging antibody teclistamab has become available, again for patients with relapsed/refractory disease. Another format into which antibodies can be converted to exert anti-tumor efficacy is as antibody-drug conjugates (ADCs), and belantamab mafodotin, which also targets BCMA, represented the first such agent that gained a foothold in myeloma. Negative results from a recent Phase III study have prompted the initiation of a process for withdrawal of its marketing authorization. However, belantamab remains a drug with some promise, and many other ADCs targeting either BCMA or other plasma cell surface markers are in development and showing potential. This contribution will provide an overview of some of the current data supporting the possibility that ADCs will remain a part of our chemotherapeutic armamentarium against myeloma moving forward, and also highlight areas for future development.
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Affiliation(s)
- Upasana Ray
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030-4009, USA
| | - Robert Z Orlowski
- Department of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX 77030-4009, USA
- Department of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Unit 429, Houston, TX 77030-4009, USA
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14
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Burgos L, Tamariz-Amador LE, Puig N, Cedena MT, Guerrero C, Jelínek T, Johnson S, Milani P, Cordon L, Perez JJ, Lasa M, Termini R, Oriol A, Hernandez MT, Palomera L, Martinez-Martinez R, de la Rubia J, de Arriba F, Rios R, Gonzalez ME, Gironella M, Cabañas V, Casanova M, Krsnik I, Perez-Montaña A, González-Calle V, Rodriguez-Otero P, Maisnar V, Hajek R, Van Rhee F, Jimenez-Zepeda V, Palladini G, Merlini G, Orfao A, de la Cruz J, Martinez-Lopez J, Lahuerta JJ, Rosiñol L, Blade J, Mateos MV, San-Miguel JF, Paiva B. Definition and Clinical Significance of the Monoclonal Gammopathy of Undetermined Significance-Like Phenotype in Patients With Monoclonal Gammopathies. J Clin Oncol 2023; 41:3019-3031. [PMID: 36930848 DOI: 10.1200/jco.22.01916] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/19/2023] Open
Abstract
PURPOSE The existence of patients with multiple myeloma (MM) and light-chain (AL) amyloidosis who present with a monoclonal gammopathy of undetermined significance (MGUS)-like phenotype has been hypothesized, but methods to identify this subgroup are not standardized and its clinical significance is not properly validated. PATIENTS AND METHODS An algorithm to identify patients having MGUS-like phenotype was developed on the basis of the percentages of total bone marrow (BM) plasma cells (PC) and of clonal PC within the BM PC compartment, determined at diagnosis using flow cytometry in 548 patients with MGUS and 2,011 patients with active MM. The clinical significance of the algorithm was tested and validated in 488 patients with smoldering MM, 3,870 patients with active MM and 211 patients with AL amyloidosis. RESULTS Patients with smoldering MM with MGUS-like phenotype showed significantly lower rates of disease progression (4.5% and 0% at 2 years in two independent series). There were no statistically significant differences in time to progression between treatment versus observation in these patients. In active newly diagnosed MM, MGUS-like phenotype retained independent prognostic value in multivariate analyses of progression-free survival (PFS; hazard ratio [HR], 0.49; P = .001) and overall survival (OS; HR, 0.56; P = .039), together with International Staging System, lactate dehydrogenase, cytogenetic risk, transplant eligibility, and complete remission status. Transplant-eligible patients with active MM with MGUS-like phenotype showed PFS and OS rates at 5 years of 79% and 96%, respectively. In this subgroup, there were no differences in PFS and OS according to complete remission and measurable residual disease status. Application of the algorithm in two independent series of patients with AL predicted for different survival. CONCLUSION We developed an open-access algorithm for the identification of MGUS-like patients with distinct clinical outcomes. This phenotypic classification could become part of the diagnostic workup of MM and AL amyloidosis.
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Affiliation(s)
- Leire Burgos
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Luis-Esteban Tamariz-Amador
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Noemi Puig
- Hospital Universitario de Salamanca (HUSAL), IBSAL, IBMCC (USAL-CSIC), CIBERONC, Salamanca, Spain
| | - Maria-Teresa Cedena
- Hematology Department, Hospital Universitario 12 de Octubre, CIBERONC, Instituto de Investigación IMAS12, Madrid, Spain
| | - Camila Guerrero
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Tomas Jelínek
- Department of Haematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Sarah Johnson
- Myeloma Center/Division of Hematology Oncology/Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR
| | - Paolo Milani
- Department of Molecular Medicine, University of Pavia and Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | | | - Jose J Perez
- Hospital Universitario de Salamanca (HUSAL), IBSAL, IBMCC (USAL-CSIC), CIBERONC, Salamanca, Spain
| | - Marta Lasa
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Rosalinda Termini
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Albert Oriol
- Institut Català d'Oncologia and Institut Josep Carreras, Hospital Germans Trias i Pujol, Barcelona, Spain
| | | | - Luis Palomera
- Hospital Clínico Universitario Lozano Blesa, Zaragoza, Spain
| | | | | | - Felipe de Arriba
- Hospital Morales Meseguer, IMIB-Arrixaca, Universidad de Murcia, Murcia, Spain
| | - Rafael Rios
- Hospital Universitario Puerta de Hierro, Hospital, Madrid, Spain
| | | | - Mercedes Gironella
- Department of Hematology, University Hospital Vall d'Hebron, Barcelona, Spain
| | - Valentin Cabañas
- Hospital Clínico Universitario Virgen de la Arrixaca. IMIB-Arrixaca. University of Murcia, Murcia, Spain
| | - Maria Casanova
- Hematology Department, Hospital Costa del Sol Marbella, Marbella, Spain
| | - Isabel Krsnik
- Hospital Universitario Puerta de Hierro, Hospital, Madrid, Spain
| | | | - Verónica González-Calle
- Hospital Universitario de Salamanca (HUSAL), IBSAL, IBMCC (USAL-CSIC), CIBERONC, Salamanca, Spain
| | - Paula Rodriguez-Otero
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Vladimir Maisnar
- 4th Department of Medicine-Haematology, Charles University Hospital, Hradec Králové, Czech Republic
| | - Roman Hajek
- Department of Haematooncology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Fritz Van Rhee
- Myeloma Center/Division of Hematology Oncology/Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR
| | - Victor Jimenez-Zepeda
- Tom Baker Cancer Center, Department of Hematology, University of Calgary, Calgary, AB, Canada
| | - Giovanni Palladini
- Department of Molecular Medicine, University of Pavia and Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Giampaolo Merlini
- Department of Molecular Medicine, University of Pavia and Amyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Alberto Orfao
- Hospital Universitario de Salamanca (HUSAL), IBSAL, Cancer Research Center (IBMCC, USAL-CSIC), Department of Medicine and Cytometry Service, University of Salamanca, CIBERONC, Salamanca, Spain
| | - Javier de la Cruz
- Hematology Department, Hospital Universitario 12 de Octubre, CIBERONC, Instituto de Investigación IMAS12, Madrid, Spain
| | - Joaquin Martinez-Lopez
- Hematology Department, Hospital Universitario 12 de Octubre, CIBERONC, Instituto de Investigación IMAS12, Madrid, Spain
| | - Juan-Jose Lahuerta
- Hematology Department, Hospital Universitario 12 de Octubre, CIBERONC, Instituto de Investigación IMAS12, Madrid, Spain
| | - Laura Rosiñol
- Amyloidosis and Myeloma Unit. Department of Hematology. Hospital Clínic de Barcelona. IDIBAPS., Barcelona, Spain
| | - Joan Blade
- Amyloidosis and Myeloma Unit. Department of Hematology. Hospital Clínic de Barcelona. IDIBAPS., Barcelona, Spain
| | - Maria-Victoria Mateos
- Hospital Universitario de Salamanca (HUSAL), IBSAL, IBMCC (USAL-CSIC), CIBERONC, Salamanca, Spain
| | - Jesus F San-Miguel
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
| | - Bruno Paiva
- Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, Universidad de Navarra, CCUN, IDISNA, CIBERONC, Pamplona, Spain
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15
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Schavgoulidze A, Talbot A, Perrot A, Cazaubiel T, Leleu X, Manier S, Buisson L, Mahéo S, Do Souto Ferreira L, Pavageau L, Hulin C, Marolleau JP, Voillat L, Belhadj K, Divoux M, Slama B, Brechignac S, Macro M, Stoppa AM, Sanhes L, Orsini-Piocelle F, Fontan J, Chretien ML, Demarquette H, Mohty M, Avet-Loiseau H, Corre J. Biallelic deletion of 1p32 defines ultra-high-risk myeloma, but monoallelic del(1p32) remains a strong prognostic factor. Blood 2023; 141:1308-1315. [PMID: 36375118 PMCID: PMC10163308 DOI: 10.1182/blood.2022017863] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 11/01/2022] [Accepted: 11/01/2022] [Indexed: 11/16/2022] Open
Abstract
Cytogenetic abnormalities (CAs) are known to be the preponderant prognostic factor in multiple myeloma. Our team has recently developed a prognostic score based on 6 CAs, with which del(1p32) appears to be the second worst abnormality after del(17p). This study aimed to confirm the adverse effect of 1p32 deletion in patients with newly diagnosed multiple myeloma (NDMM). Among 2551 patients with newly diagnosed multiple myeloma, 11% were harboring del(1p32). Their overall survival (OS) was significantly inferior compared with patients without del(1p32) (median OS: 49 months vs 124 months). Likewise, progression-free survival was significantly shorter. More importantly, biallelic del(1p32) conferred a dramatically poorer prognosis than a monoallelic del(1p32) (median OS: 25 months vs 60 months). As expected, the OS of patients with del(1p32) significantly decreased when this abnormality was associated with other high-risk CAs [del(17p), t(4;14), or gain(1q)]. In the multivariate analysis, del(1p32) appeared as a negative prognostic factor; after adjustment for age and treatment, the risk of progression was 1.3 times higher among patients harboring del(1p32), and the risk of death was 1.9 times higher. At the dawn of risk-adapted treatment strategies, we have confirmed the adverse effect of del(1p32) in multiple myeloma and the relevance of its assessment at diagnosis.
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Affiliation(s)
- Anaïs Schavgoulidze
- Unit for Genomics in Myeloma, University Hospital IUC-Oncopole and Toulouse Cancer Research Center-Oncopole, Toulouse University, INSERM UMR1037, Toulouse, France
| | - Alexis Talbot
- Hematology Department, Saint-Louis University Hospital, University of Paris, Assistance Publique–Hôpitaux de Paris, Paris, France
| | - Aurore Perrot
- Hematology Department, University Hospital IUC-Oncopole and Toulouse Cancer Research Center-Oncopole, Toulouse, France
| | - Titouan Cazaubiel
- Hematology Department, Bordeaux University Hospital, Bordeaux, France
| | - Xavier Leleu
- Hematology Department, Poitiers University Hospital, Poitiers, France
| | - Salomon Manier
- Hematology Department, Lille University Hospital, Lille, France
| | - Laure Buisson
- Unit for Genomics in Myeloma, University Hospital IUC-Oncopole and Toulouse Cancer Research Center-Oncopole, Toulouse University, INSERM UMR1037, Toulouse, France
| | - Sabrina Mahéo
- Unit for Genomics in Myeloma, University Hospital IUC-Oncopole and Toulouse Cancer Research Center-Oncopole, Toulouse University, INSERM UMR1037, Toulouse, France
| | - Laura Do Souto Ferreira
- Unit for Genomics in Myeloma, University Hospital IUC-Oncopole and Toulouse Cancer Research Center-Oncopole, Toulouse University, INSERM UMR1037, Toulouse, France
| | - Luka Pavageau
- Unit for Genomics in Myeloma, University Hospital IUC-Oncopole and Toulouse Cancer Research Center-Oncopole, Toulouse University, INSERM UMR1037, Toulouse, France
| | - Cyrille Hulin
- Hematology Department, Bordeaux University Hospital, Bordeaux, France
| | | | - Laurent Voillat
- Hematology Department, Chalon-sur-Saône Hospital, Chalon-sur-Saône, France
| | - Karim Belhadj
- Hematology Department, Créteil University Hospital, Créteil, France
| | - Marion Divoux
- Hematology Department, Nancy University Hospital, Nancy, France
| | - Borhane Slama
- Hematology Department, Avignon Hospital, Avignon, France
| | | | - Margaret Macro
- Hematology Department, Caen University Hospital, Caen, France
| | | | - Laurence Sanhes
- Hematology Department, Perpignan Hospital, Perpignan, France
| | | | - Jean Fontan
- Hematology Department, Besançon University Hospital, Besançon, France
| | | | | | - Mohamad Mohty
- Hematology Department, Saint-Antoine University Hospital, Paris, France
| | - Hervé Avet-Loiseau
- Unit for Genomics in Myeloma, University Hospital IUC-Oncopole and Toulouse Cancer Research Center-Oncopole, Toulouse University, INSERM UMR1037, Toulouse, France
| | - Jill Corre
- Unit for Genomics in Myeloma, University Hospital IUC-Oncopole and Toulouse Cancer Research Center-Oncopole, Toulouse University, INSERM UMR1037, Toulouse, France
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16
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Khot A. Del(1p32): prime time in (ultra) high-risk myeloma. Blood 2023; 141:1241-1243. [PMID: 36929439 DOI: 10.1182/blood.2022018967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023] Open
Affiliation(s)
- Amit Khot
- Peter MacCallum Cancer Centre and Royal Melbourne Hospital
- University of Melbourne
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17
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From little subclones grow mighty oaks. Nat Rev Clin Oncol 2023; 20:141-142. [PMID: 36624303 DOI: 10.1038/s41571-022-00727-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
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18
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Zhang C, Wu S, Chen B. A novel prognostic model based on pyroptosis-related genes for multiple myeloma. BMC Med Genomics 2023; 16:32. [PMID: 36823654 PMCID: PMC9948482 DOI: 10.1186/s12920-023-01455-5] [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: 09/22/2022] [Accepted: 02/11/2023] [Indexed: 02/25/2023] Open
Abstract
BACKGROUND Multiple myeloma (MM) is an incurable and relapse-prone disease with apparently prognostic heterogeneity. At present, the risk stratification of myeloma is still incomplete. Pyroptosis, a type of programmed cell death, has been shown to regulate tumor growth and may have potential prognostic value. However, the role of pyroptosis-related genes (PRGs) in MM remains undetermined. The aims of this study were to identify potential prognostic biomarkers and to construct a predictive model related to PRGs. METHODS Sequencing and clinical data were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Non-negative matrix factorization (NMF) was performed to identify molecular subtype screening. LASSO regression was used to screen for prognostic markers, and then a risk score model was constructed. The Maxstat package was utilized to calculate the optimal cutoff value, according to which patients were divided into a high-risk group and a low-risk group, and the survival curves were plotted using the Kaplan-Meier (K-M) method. Nomograms and calibration curves were established using the rms package. RESULTS A total of 33 PRGs were extracted from the TCGA database underlying which 4 MM molecular subtypes were defined. Patients in cluster 1 had poorer survival than those in cluster 2 (p = 0.035). A total of 9 PRGs were screened out as prognostic markers, and the predictive ability of the 9-gene risk score for 3-year survival was best (AUC = 0.658). Patients in the high-risk group had worse survival than those in the low-risk group (p < 0.001), which was consistent with the results verified by the GSE2658 dataset. The nomogram constructed by gender, age, International Staging System (ISS) stage, and risk score had the best prognostic predictive performance with a c-index of 0.721. CONCLUSION Our model could enhance the predictive ability of ISS staging and give a reference for clinical decision-making. The new, prognostic, and pyroptosis-related markers screened out by us may facilitate the development of novel risk stratification for MM. CLINICAL TRIAL REGISTRATION Not applicable.
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Affiliation(s)
- Cuiling Zhang
- grid.41156.370000 0001 2314 964XDepartment of Hematology, Affiliated Drum Tower Hospital, Medical School of Nanjing University, 210008 Nanjing, People’s Republic of China
| | - Sungui Wu
- grid.410745.30000 0004 1765 1045Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, 210023 Nanjing, People’s Republic of China
| | - Bing Chen
- Department of Hematology, Affiliated Drum Tower Hospital, Medical School of Nanjing University, 210008, Nanjing, People's Republic of China. .,Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, 210023, Nanjing, People's Republic of China.
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19
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Mizuguchi M, Okamoto Y, Yagi H, Kagawa K, Sekimoto E, Shibata H, Shigekiyo T, Ozaki S. Clinical relevance of high-risk cytogenetic abnormalities and the second revision of the International Staging System (R2-ISS) in patients with multiple myeloma in clinical practice. Int J Hematol 2023; 117:718-728. [PMID: 36692689 DOI: 10.1007/s12185-023-03541-x] [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: 11/08/2022] [Revised: 01/11/2023] [Accepted: 01/12/2023] [Indexed: 01/25/2023]
Abstract
High-risk cytogenetic abnormalities (HRCAs) are the most critical factor affecting prognosis in multiple myeloma (MM). However, the clinical significance of HRCAs in routine practice has not been fully elucidated. We retrospectively analyzed clinical features and outcome in 60 newly diagnosed MM patients with or without HRCAs including t(4;14), t(14;16), del(17p), and 1q gain/amplification. The median age was 71 years (range, 35-90). Abnormalities with t(4;14), t(14;16), del(17p), and 1q gain/amplification were found in 10, 1, 6, and 21/14 patients, respectively, and 10 patients had ≥ 2 HRCAs. Patients with HRCAs exhibited progressive clinical features such as anemia, high β2-microglobulin, and high LDH. Symptomatic relapse was more common in patients with HRCAs. The median progression-free survival (PFS) by number of HRCAs (0, 1, and ≥ 2) was 51.7, 21.4, and 26.1 months (p = 0.011), and the median overall survival (OS) was not reached, 60.7, and 46.8 months (p = 0.045), respectively. Multivariate analysis revealed that HRCAs were an independent factor for PFS. Accordingly, the second revision of International Staging System (R2-ISS), which incorporates HRCA scores, was more useful for prognostic stratification (p = 0.0023). These results suggest that presence of multiple HRCAs including 1q gain/amplification is associated with advanced stage and poor prognosis in clinical practice as well.
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Affiliation(s)
- Makiko Mizuguchi
- Department of Hematology, Tokushima Prefecture Central Hospital, 1-10-3 Kuramoto, Tokushima, 770-8539, Japan
| | - Yasunobu Okamoto
- Department of Hematology, Tokushima Prefecture Central Hospital, 1-10-3 Kuramoto, Tokushima, 770-8539, Japan
| | - Hikaru Yagi
- Department of Hematology, Tokushima Prefecture Central Hospital, 1-10-3 Kuramoto, Tokushima, 770-8539, Japan
| | - Kumiko Kagawa
- Department of Hematology, Tokushima Prefecture Central Hospital, 1-10-3 Kuramoto, Tokushima, 770-8539, Japan
| | - Etsuko Sekimoto
- Department of Hematology, Tokushima Prefecture Central Hospital, 1-10-3 Kuramoto, Tokushima, 770-8539, Japan.,Department of Internal Medicine, Tenma Hospital, 1-5-1 Kuramoto, Tokushima, 770-0042, Japan
| | - Hironobu Shibata
- Department of Hematology, Tokushima Prefecture Central Hospital, 1-10-3 Kuramoto, Tokushima, 770-8539, Japan
| | - Toshio Shigekiyo
- Department of Hematology, Tokushima Prefecture Central Hospital, 1-10-3 Kuramoto, Tokushima, 770-8539, Japan
| | - Shuji Ozaki
- Department of Hematology, Tokushima Prefecture Central Hospital, 1-10-3 Kuramoto, Tokushima, 770-8539, Japan.
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20
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Kikuchi H, Amofa E, Mcenery M, Schey SA, Ramasamy K, Farzaneh F, Calle Y. Inhibition of PI3K Class IA Kinases Using GDC-0941 Overcomes Cytoprotection of Multiple Myeloma Cells in the Osteoclastic Bone Marrow Microenvironment Enhancing the Efficacy of Current Clinical Therapeutics. Cancers (Basel) 2023; 15:462. [PMID: 36672411 PMCID: PMC9856454 DOI: 10.3390/cancers15020462] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 01/02/2023] [Accepted: 01/05/2023] [Indexed: 01/12/2023] Open
Abstract
Osteoclasts contribute to bone marrow (BM)-mediated drug resistance in multiple myeloma (MM) by providing cytoprotective cues. Additionally, 80% of patients develop osteolytic lesions, which is a major cause of morbidity in MM. Although targeting osteoclast function is critical to improve MM therapies, pre-clinical studies rarely consider overcoming osteoclast-mediated cytoprotection within the selection criteria of drug candidates. We have performed a drug screening and identified PI3K as a key regulator of a signalling node associated with resistance to dexamethasone lenalidomide, pomalidomide, and bortezomib mediated by osteoclasts and BM fibroblastic stromal cells, which was blocked by the pan-PI3K Class IA inhibitor GDC-0941. Additionally, GDC-0941 repressed the maturation of osteoclasts derived from MM patients and disrupted the organisation of the F-actin cytoskeleton in sealing zones required for bone degradation, correlating with decreased bone resorption by osteoclasts. In vivo, GDC-0941 improved the efficacy of dexamethasone against MM in the syngeneic GFP-5T33/C57-Rawji mouse model. Taken together, our results indicate that GDC-0941 in combination with currently used therapeutic agents could effectively kill MM cells in the presence of the cytoprotective BM microenvironment while inhibiting bone resorption by osteoclasts. These data support investigating GDC-0941 in combination with currently used therapeutic drugs for MM patients with active bone disease.
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Affiliation(s)
- Hugh Kikuchi
- Department of Haemato-Oncology, King’s College London, London SE5 9NU, UK
| | - Eunice Amofa
- Department of Haemato-Oncology, King’s College London, London SE5 9NU, UK
| | - Maeve Mcenery
- Department of Haemato-Oncology, King’s College London, London SE5 9NU, UK
| | - Steve Arthur Schey
- Department of Haemato-Oncology, King’s College London, London SE5 9NU, UK
- Department of Haematology, Guys Hospital, Guys and St. Thomas’ NHS Foundation Trust, London SE5 9RS, UK
| | - Karthik Ramasamy
- Royal Berkshire Hospital, Oxford University Hospitals, Oxford OX3 7LE, UK
| | - Farzin Farzaneh
- Department of Haemato-Oncology, King’s College London, London SE5 9NU, UK
| | - Yolanda Calle
- School of Life Sciences and Health, University of Roehampton, London SW15 4JD, UK
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21
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Costello CL. Newly diagnosed multiple myeloma: making sense of the menu. HEMATOLOGY. AMERICAN SOCIETY OF HEMATOLOGY. EDUCATION PROGRAM 2022; 2022:539-550. [PMID: 36485145 PMCID: PMC9820388 DOI: 10.1182/hematology.2022000404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
The development of new drugs and subsequent novel combinations for the treatment of newly diagnosed multiple myeloma (NDMM) has resulted in a plethora of treatment options that can make the choice of initial induction therapy a challenge. A greater understanding of both patient- and disease-specific factors can provide a personalized approach to help design a treatment course. Historically, the choice of an induction regimen has been tethered to an initial impression of transplant eligibility at the time of diagnosis. As more effective and better-tolerated induction regimens have emerged, there has been increasing overlap in the induction strategies used for all patients with NDMM, which increasingly provide the ultimate goal of deep and durable remissions. The current treatment options and strategies for the management of NDMM are evaluated using the best available data to provide a rationale for these decisions.
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Affiliation(s)
- Caitlin L. Costello
- Correspondence Caitlin L. Costello, UCSD, 3855 Health Sciences Drive, MC 0960, La Jolla, CA 92093, USA; e-mail:
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22
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de Leval L, Alizadeh AA, Bergsagel PL, Campo E, Davies A, Dogan A, Fitzgibbon J, Horwitz SM, Melnick AM, Morice WG, Morin RD, Nadel B, Pileri SA, Rosenquist R, Rossi D, Salaverria I, Steidl C, Treon SP, Zelenetz AD, Advani RH, Allen CE, Ansell SM, Chan WC, Cook JR, Cook LB, d’Amore F, Dirnhofer S, Dreyling M, Dunleavy K, Feldman AL, Fend F, Gaulard P, Ghia P, Gribben JG, Hermine O, Hodson DJ, Hsi ED, Inghirami G, Jaffe ES, Karube K, Kataoka K, Klapper W, Kim WS, King RL, Ko YH, LaCasce AS, Lenz G, Martin-Subero JI, Piris MA, Pittaluga S, Pasqualucci L, Quintanilla-Martinez L, Rodig SJ, Rosenwald A, Salles GA, San-Miguel J, Savage KJ, Sehn LH, Semenzato G, Staudt LM, Swerdlow SH, Tam CS, Trotman J, Vose JM, Weigert O, Wilson WH, Winter JN, Wu CJ, Zinzani PL, Zucca E, Bagg A, Scott DW. Genomic profiling for clinical decision making in lymphoid neoplasms. Blood 2022; 140:2193-2227. [PMID: 36001803 PMCID: PMC9837456 DOI: 10.1182/blood.2022015854] [Citation(s) in RCA: 53] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 08/15/2022] [Indexed: 01/28/2023] Open
Abstract
With the introduction of large-scale molecular profiling methods and high-throughput sequencing technologies, the genomic features of most lymphoid neoplasms have been characterized at an unprecedented scale. Although the principles for the classification and diagnosis of these disorders, founded on a multidimensional definition of disease entities, have been consolidated over the past 25 years, novel genomic data have markedly enhanced our understanding of lymphomagenesis and enriched the description of disease entities at the molecular level. Yet, the current diagnosis of lymphoid tumors is largely based on morphological assessment and immunophenotyping, with only few entities being defined by genomic criteria. This paper, which accompanies the International Consensus Classification of mature lymphoid neoplasms, will address how established assays and newly developed technologies for molecular testing already complement clinical diagnoses and provide a novel lens on disease classification. More specifically, their contributions to diagnosis refinement, risk stratification, and therapy prediction will be considered for the main categories of lymphoid neoplasms. The potential of whole-genome sequencing, circulating tumor DNA analyses, single-cell analyses, and epigenetic profiling will be discussed because these will likely become important future tools for implementing precision medicine approaches in clinical decision making for patients with lymphoid malignancies.
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Affiliation(s)
- Laurence de Leval
- Institute of Pathology, Department of Laboratory Medicine and Pathology, Lausanne University Hospital and Lausanne University, Lausanne, Switzerland
| | - Ash A. Alizadeh
- Division of Oncology, Department of Medicine, Stanford University, Stanford, CA
- Stanford Cancer Institute, Stanford University, Stanford, CA
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, CA
- Division of Hematology, Department of Medicine, Stanford University, Stanford, CA
| | - P. Leif Bergsagel
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Phoenix, AZ
| | - Elias Campo
- Haematopathology Section, Hospital Clínic, Institut d'Investigaciones Biomèdiques August Pi I Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain
| | - Andrew Davies
- Centre for Cancer Immunology, University of Southampton, Southampton, United Kingdom
| | - Ahmet Dogan
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jude Fitzgibbon
- Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom
| | - Steven M. Horwitz
- Lymphoma Service, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Ari M. Melnick
- Department of Medicine, Weill Cornell Medicine, New York, NY
| | - William G. Morice
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Ryan D. Morin
- Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC, Canada
- Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada
- BC Cancer Centre for Lymphoid Cancer, Vancouver, BC, Canada
| | - Bertrand Nadel
- Aix Marseille University, CNRS, INSERM, CIML, Marseille, France
| | - Stefano A. Pileri
- Haematopathology Division, IRCCS, Istituto Europeo di Oncologia, IEO, Milan, Italy
| | - Richard Rosenquist
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
- Clinical Genetics, Karolinska University Laboratory, Karolinska University Hospital, Solna, Sweden
| | - Davide Rossi
- Institute of Oncology Research and Oncology Institute of Southern Switzerland, Faculty of Biomedical Sciences, Università della Svizzera Italiana, Bellinzona, Switzerland
| | - Itziar Salaverria
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Christian Steidl
- Centre for Lymphoid Cancer, BC Cancer and University of British Columbia, Vancouver, Canada
| | | | - Andrew D. Zelenetz
- Lymphoma Service, Memorial Sloan Kettering Cancer Center, New York, NY
- Department of Medicine, Weill Cornell Medicine, New York, NY
| | - Ranjana H. Advani
- Division of Oncology, Department of Medicine, Stanford University, Stanford, CA
| | - Carl E. Allen
- Division of Pediatric Hematology-Oncology, Baylor College of Medicine, Houston, TX
| | | | - Wing C. Chan
- Department of Pathology, City of Hope National Medical Center, Duarte, CA
| | - James R. Cook
- Pathology and Laboratory Medicine Institute, Cleveland Clinic, Cleveland, OH
| | - Lucy B. Cook
- Centre for Haematology, Imperial College London, London, United Kingdom
| | - Francesco d’Amore
- Department of Hematology, Aarhus University Hospital, Aarhus, Denmark
| | - Stefan Dirnhofer
- Institute of Medical Genetics and Pathology, University Hospital Basel, University of Basel, Basel, Switzerland
| | | | - Kieron Dunleavy
- Division of Hematology and Oncology, Georgetown Lombardi Comprehensive Cancer Centre, Georgetown University Hospital, Washington, DC
| | - Andrew L. Feldman
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Falko Fend
- Institute of Pathology and Neuropathology, Eberhard Karls University of Tübingen and Comprehensive Cancer Center, University Hospital Tübingen, Tübingen, Germany
| | - Philippe Gaulard
- Department of Pathology, University Hospital Henri Mondor, AP-HP, Créteil, France
- Faculty of Medicine, IMRB, INSERM U955, University of Paris-Est Créteil, Créteil, France
| | - Paolo Ghia
- Università Vita-Salute San Raffaele and IRCCS Ospedale San Raffaele, Milan, Italy
| | - John G. Gribben
- Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom
| | - Olivier Hermine
- Service D’hématologie, Hôpital Universitaire Necker, Université René Descartes, Assistance Publique Hôpitaux de Paris, Paris, France
| | - Daniel J. Hodson
- Wellcome MRC Cambridge Stem Cell Institute, Cambridge Biomedical Campus, Cambridge, United Kingdom
- Department of Haematology, University of Cambridge, Cambridge, United Kingdom
| | - Eric D. Hsi
- Department of Pathology, Wake Forest School of Medicine, Winston-Salem, NC
| | - Giorgio Inghirami
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY
| | - Elaine S. Jaffe
- Hematopathology Section, Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Kennosuke Karube
- Department of Pathology and Laboratory Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Keisuke Kataoka
- Division of Molecular Oncology, National Cancer Center Research Institute, Toyko, Japan
- Division of Hematology, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Wolfram Klapper
- Hematopathology Section and Lymph Node Registry, Department of Pathology, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Won Seog Kim
- Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, South Korea
| | - Rebecca L. King
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Young H. Ko
- Department of Pathology, Cheju Halla General Hospital, Jeju, Korea
| | | | - Georg Lenz
- Department of Medicine A, Hematology, Oncology and Pneumology, University Hospital Muenster, Muenster, Germany
| | - José I. Martin-Subero
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), University of Barcelona, Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Miguel A. Piris
- Department of Pathology, Jiménez Díaz Foundation University Hospital, CIBERONC, Madrid, Spain
| | - Stefania Pittaluga
- Hematopathology Section, Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Laura Pasqualucci
- Institute for Cancer Genetics, Columbia University, New York, NY
- Department of Pathology & Cell Biology, Columbia University, New York, NY
- The Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY
| | - Leticia Quintanilla-Martinez
- Institute of Pathology and Neuropathology, Eberhard Karls University of Tübingen and Comprehensive Cancer Center, University Hospital Tübingen, Tübingen, Germany
| | - Scott J. Rodig
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA
| | | | - Gilles A. Salles
- Lymphoma Service, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jesus San-Miguel
- Clínica Universidad de Navarra, Navarra, Cancer Center of University of Navarra, Cima Universidad de NavarraI, Instituto de Investigacion Sanitaria de Navarra, Centro de Investigación Biomédica en Red de Céncer, Pamplona, Spain
| | - Kerry J. Savage
- Centre for Lymphoid Cancer, BC Cancer and University of British Columbia, Vancouver, Canada
| | - Laurie H. Sehn
- Centre for Lymphoid Cancer, BC Cancer and University of British Columbia, Vancouver, Canada
| | - Gianpietro Semenzato
- Department of Medicine, University of Padua and Veneto Institute of Molecular Medicine, Padova, Italy
| | - Louis M. Staudt
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Steven H. Swerdlow
- Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | | | - Judith Trotman
- Haematology Department, Concord Repatriation General Hospital, Sydney, Australia
| | - Julie M. Vose
- Department of Internal Medicine, Division of Hematology-Oncology, University of Nebraska Medical Center, Omaha, NE
| | - Oliver Weigert
- Department of Medicine III, LMU Hospital, Munich, Germany
| | - Wyndham H. Wilson
- Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Jane N. Winter
- Feinberg School of Medicine, Northwestern University, Chicago, IL
| | | | - Pier L. Zinzani
- IRCCS Azienda Ospedaliero-Universitaria di Bologna Istitudo di Ematologia “Seràgnoli” and Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale Università di Bologna, Bologna, Italy
| | - Emanuele Zucca
- Institute of Oncology Research and Oncology Institute of Southern Switzerland, Faculty of Biomedical Sciences, Università della Svizzera Italiana, Bellinzona, Switzerland
| | - Adam Bagg
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - David W. Scott
- Centre for Lymphoid Cancer, BC Cancer and University of British Columbia, Vancouver, Canada
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23
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Solimando AG, Malerba E, Leone P, Prete M, Terragna C, Cavo M, Racanelli V. Drug resistance in multiple myeloma: Soldiers and weapons in the bone marrow niche. Front Oncol 2022; 12:973836. [PMID: 36212502 PMCID: PMC9533079 DOI: 10.3389/fonc.2022.973836] [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: 06/20/2022] [Accepted: 09/05/2022] [Indexed: 11/13/2022] Open
Abstract
Multiple myeloma (MM) is still an incurable disease, despite considerable improvements in treatment strategies, as resistance to most currently available agents is not uncommon. In this study, data on drug resistance in MM were analyzed and led to the following conclusions: resistance occurs via intrinsic and extrinsic mechanisms, including intraclonal heterogeneity, drug efflux pumps, alterations of drug targets, the inhibition of apoptosis, increased DNA repair and interactions with the bone marrow (BM) microenvironment, cell adhesion, and the release of soluble factors. Since MM involves the BM, interactions in the MM-BM microenvironment were examined as well, with a focus on the cross-talk between BM stromal cells (BMSCs), adipocytes, osteoclasts, osteoblasts, endothelial cells, and immune cells. Given the complex mechanisms that drive MM, next-generation treatment strategies that avoid drug resistance must target both the neoplastic clone and its non-malignant environment. Possible approaches based on recent evidence include: (i) proteasome and histone deacetylases inhibitors that not only target MM but also act on BMSCs and osteoclasts; (ii) novel peptide drug conjugates that target both the MM malignant clone and angiogenesis to unleash an effective anti-MM immune response. Finally, the role of cancer stem cells in MM is unknown but given their roles in the development of solid and hematological malignancies, cancer relapse, and drug resistance, their identification and description are of paramount importance for MM management.
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Affiliation(s)
- Antonio Giovanni Solimando
- Department of Biomedical Sciences and Human Oncology, School of Medicine, ‘Aldo Moro’ University of Bari, Bari, Italy
- Istituto di ricovero e cura a carattere scientifico (IRCCS) Istituto Tumori ‘Giovanni Paolo II’ of Bari, Bari, Italy
| | - Eleonora Malerba
- Department of Biomedical Sciences and Human Oncology, School of Medicine, ‘Aldo Moro’ University of Bari, Bari, Italy
| | - Patrizia Leone
- Department of Biomedical Sciences and Human Oncology, School of Medicine, ‘Aldo Moro’ University of Bari, Bari, Italy
| | - Marcella Prete
- Department of Interdisciplinary Medicine, School of Medicine, ‘Aldo Moro’ University of Bari, Bari, Italy
| | - Carolina Terragna
- ’Seràgnoli’ Institute of Hematology, Bologna University School of Medicine, Bologna, Italy
| | - Michele Cavo
- ’Seràgnoli’ Institute of Hematology, Bologna University School of Medicine, Bologna, Italy
| | - Vito Racanelli
- Department of Interdisciplinary Medicine, School of Medicine, ‘Aldo Moro’ University of Bari, Bari, Italy
- *Correspondence: Vito Racanelli,
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24
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Allegra A, Cancemi G, Mirabile G, Tonacci A, Musolino C, Gangemi S. Circulating Tumour Cells, Cell Free DNA and Tumour-Educated Platelets as Reliable Prognostic and Management Biomarkers for the Liquid Biopsy in Multiple Myeloma. Cancers (Basel) 2022; 14:cancers14174136. [PMID: 36077672 PMCID: PMC9454477 DOI: 10.3390/cancers14174136] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 08/24/2022] [Accepted: 08/25/2022] [Indexed: 12/14/2022] Open
Abstract
Simple Summary Even though the presently employed biomarkers in the detection and management of multiple myeloma are demonstrating encouraging results, the mortality percentage of the malignancy is still elevated. Thus, searching for new diagnostic or prognostic markers is pivotal. Liquid biopsy allows the examination of circulating tumour DNA, cell-free DNA, extracellular RNA, and cell free proteins, which are released into the bloodstream due to the breakdown of tumour cells or exosome delivery. Liquid biopsy can now be applied in clinical practice to diagnose, and monitor multiple myeloma, probably allowing a personalized treatment of the disease. Abstract Liquid biopsy is one of the fastest emerging fields in cancer evaluation. Circulating tumour cells and tumour-originated DNA in plasma have become the new targets for their possible employ in tumour diagnosis, and liquid biopsy can define tumour burden without invasive procedures. Multiple Myeloma, one of the most frequent hematologic tumors, has been the target of therapeutic progresses in the last few years. Bone marrow aspirate is the traditional tool for diagnosis, prognosis, and genetic evaluation in multiple myeloma patients. However, this painful procedure presents a relevant drawback for regular disease examination as it requires an invasive practice. Moreover, new data demonstrated that a sole bone marrow aspirate is incapable of expressing the multifaceted multiple myeloma genetic heterogeneity. In this review, we report the emerging usefulness of the assessment of circulating tumour cells, cell-free DNA, extracellular RNA, cell-free proteins, extracellular vesicles, and tumour-educated platelets to evaluate the changing mutational profile of multiple myeloma, as early markers of disease, reliable predictors of prognosis, and as useful tools to perform less invasive monitoring in multiple myeloma.
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Affiliation(s)
- Alessandro Allegra
- Division of Hematology, Department of Human Pathology in Adulthood and Childhood “Gaetano Barresi”, University of Messina, 98125 Messina, Italy
- Correspondence:
| | - Gabriella Cancemi
- Division of Hematology, Department of Human Pathology in Adulthood and Childhood “Gaetano Barresi”, University of Messina, 98125 Messina, Italy
| | - Giuseppe Mirabile
- Division of Hematology, Department of Human Pathology in Adulthood and Childhood “Gaetano Barresi”, University of Messina, 98125 Messina, Italy
| | - Alessandro Tonacci
- Clinical Physiology Institute, National Research Council of Italy (IFC-CNR), 56124 Pisa, Italy
| | - Caterina Musolino
- Division of Hematology, Department of Human Pathology in Adulthood and Childhood “Gaetano Barresi”, University of Messina, 98125 Messina, Italy
| | - Sebastiano Gangemi
- Allergy and Clinical Immunology Unit, Department of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy
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