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Tang HKK, Fung CY, Hwang YY, Lee H, Lau G, Yip SF, Kho B, Lau CK, Leung KH, Au E, Tse E, Sim J, Kwong YL, Chim CS. Prognostic factors in 448 newly diagnosed multiple myeloma receiving bortezomib-based induction: impact of ASCT, transplant refusal and high-risk MM. Bone Marrow Transplant 2024; 59:660-669. [PMID: 38383715 PMCID: PMC11073964 DOI: 10.1038/s41409-024-02227-0] [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: 07/22/2023] [Revised: 01/18/2024] [Accepted: 01/24/2024] [Indexed: 02/23/2024]
Abstract
In Hong Kong, newly diagnosed multiple myeloma (NDMM) receives bortezomib-based triplet induction. Upfront autologous stem cell transplant (ASCT) is offered to transplant eligible (TE) patients (NDMM ≤ 65 years of age), unless medically unfit (TE-unfit) or refused (TE-refused). Data was retrieved for 448 patients to assess outcomes. For the entire cohort, multivariate analysis showed that male gender (p = 0.006), international staging system (ISS) 3 (p = 0.003), high lactate dehydrogenase (LDH) (p = 7.6 × 10-7) were adverse predictors for overall survival (OS), while complete response/ near complete response (CR/nCR) post-induction (p = 2.7 × 10-5) and ASCT (p = 4.8 × 10-4) were favorable factors for OS. In TE group, upfront ASCT was conducted in 252 (76.1%). Failure to undergo ASCT in TE patients rendered an inferior OS (TE-unfit p = 1.06 × 10-8, TE-refused p = 0.002) and event free survival (EFS) (TE-unfit p = 0.00013, TE-refused p = 0.002). Among TE patients with ASCT, multivariate analysis showed that age ≥ 60 (p = 8.9 × 10-4), ISS 3 (p = 0.019) and high LDH (p = 2.6 × 10-4) were adverse factors for OS. In those with high-risk features (HR cytogenetics, ISS 3, R-ISS 3), ASCT appeared to mitigate their adverse impact. Our data reaffirmed the importance of ASCT. The poor survival inherent with refusal of ASCT should be recognized by clinicians. Finally, improved outcome with ASCT in those with high-risk features warrant further studies.
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Affiliation(s)
- Hoi Ki Karen Tang
- Department of Medicine, Queen Mary Hospital, University of Hong Kong, Pok Fu Lam, Hong Kong
| | - Chi Yeung Fung
- Department of Medicine, Queen Mary Hospital, University of Hong Kong, Pok Fu Lam, Hong Kong
| | - Yu Yan Hwang
- Department of Medicine, Queen Mary Hospital, University of Hong Kong, Pok Fu Lam, Hong Kong
| | - Harold Lee
- Department of Medicine, Princess Margaret Hospital, Kwai Chung, Hong Kong
| | - Grace Lau
- Department of Medicine, Princess Margaret Hospital, Kwai Chung, Hong Kong
| | - Sze Fai Yip
- Department of Medicine, Tuen Mun Hospital, Tuen Mun, Hong Kong
| | - Bonnie Kho
- Department of Medicine, Pamela Youde Nethersole Eastern Hospital, Chai Wan, Hong Kong
| | - Chi Kuen Lau
- Department of Medicine, Tseung Kwan O Hospital, Tseung Kwan O, Hong Kong
| | - Kwan Hung Leung
- Department of Medicine, United Christian Hospital, Kwun Tong, Hong Kong
| | - Elaine Au
- Department of Pathology, Queen Mary Hospital, University of Hong Kong, Pok Fu Lam, Hong Kong
| | - Eric Tse
- Department of Medicine, Queen Mary Hospital, University of Hong Kong, Pok Fu Lam, Hong Kong
| | - Joycelyn Sim
- Department of Medicine, Queen Mary Hospital, University of Hong Kong, Pok Fu Lam, Hong Kong
| | - Yok Lam Kwong
- Department of Medicine, Queen Mary Hospital, University of Hong Kong, Pok Fu Lam, Hong Kong
| | - Chor Sang Chim
- Department of Medicine, Queen Mary Hospital, University of Hong Kong, Pok Fu Lam, Hong Kong.
- Department of Medicine, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong.
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Wu Z, Wang H, Zheng Y, Fei H, Dong C, Wang Z, Ren W, Xu W, Bian T. Lumbar MR-based radiomics nomogram for detecting minimal residual disease in patients with multiple myeloma. Eur Radiol 2023; 33:5594-5605. [PMID: 36973432 DOI: 10.1007/s00330-023-09540-0] [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: 06/23/2022] [Revised: 12/11/2022] [Accepted: 02/06/2023] [Indexed: 03/29/2023]
Abstract
OBJECTIVES Minimal residual disease (MRD) is a standard for assessing treatment response in multiple myeloma (MM). MRD negativity is considered to be the most powerful predictor of long-term good outcomes. This study aimed to develop and validate a radiomics nomogram based on magnetic resonance imaging (MRI) of the lumbar spine to detect MRD after MM treatment. METHODS A total of 130 MM patients (55 MRD negative and 75 MRD positive) who had undergone MRD testing through next-generation flow cytometry were divided into a training set (n = 90) and a test set (n = 40). Radiomics features were extracted from lumbar spinal MRI (T1-weighted images and fat-suppressed T2-weighted images) by means of the minimum redundancy maximum relevance method and the least absolute shrinkage and selection operator algorithm. A radiomics signature model was constructed. A clinical model was established using demographic features. A radiomics nomogram incorporating the radiomics signature and independent clinical factor was developed using multivariate logistic regression analysis. RESULTS Sixteen features were used to establish the radiomics signature. The radiomics nomogram included the radiomics signature and the independent clinical factor (free light chain ratio) and showed good performance in detecting the MRD status (area under the curve: 0.980 in the training set and 0.903 in the test set). CONCLUSIONS The lumbar MRI-based radiomics nomogram showed good performance in detecting MRD status in MM patients after treatment, and it is helpful for clinical decision-making. KEY POINTS • The presence or absence of minimal residual disease status has a strong predictive significance for the prognosis of patients with multiple myeloma. • A radiomics nomogram based on lumbar MRI is a potential and reliable tool for evaluating minimal residual disease status in MM.
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Affiliation(s)
- Zengjie Wu
- Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, 266000, Shandong, China
| | - Hexiang Wang
- Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, 266000, Shandong, China
| | - Yingmei Zheng
- Health Management Center, The Affiliated Hospital of Qingdao University, Qingdao, 266000, Shandong, China
| | - Hairong Fei
- Department of Hematology, The Affiliated Hospital of Qingdao University, Qingdao, 266000, Shandong, China
| | - Cheng Dong
- Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, 266000, Shandong, China
| | - Zhongjun Wang
- Department of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao, 266000, Shandong, China
| | - Weifeng Ren
- Department of Critical Care Medicine, The Affiliated Hospital of Qingdao University, Qingdao, 266000, Shandong, China
| | - Wenjian Xu
- Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, 266000, Shandong, China.
| | - Tiantian Bian
- Breast Disease Center, The Affiliated Hospital of Qingdao University, Qingdao, 266000, Shandong, China.
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Santoni A, Simoncelli M, Franceschini M, Ciofini S, Fredducci S, Caroni F, Sammartano V, Bocchia M, Gozzetti A. Functional Imaging in the Evaluation of Treatment Response in Multiple Myeloma: The Role of PET-CT and MRI. J Pers Med 2022; 12:jpm12111885. [PMID: 36579605 PMCID: PMC9696713 DOI: 10.3390/jpm12111885] [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: 10/14/2022] [Revised: 11/01/2022] [Accepted: 11/08/2022] [Indexed: 11/12/2022] Open
Abstract
Bone disease is among the defining characteristics of symptomatic Multiple Myeloma (MM). Imaging techniques such as fluorodeoxyglucose positron emission tomography-computed tomography (FDG PET/CT) and magnetic resonance imaging (MRI) can identify plasma cell proliferation and quantify disease activity. This function renders these imaging tools as suitable not only for diagnosis, but also for the assessment of bone disease after treatment of MM patients. The aim of this article is to review FDG PET/CT and MRI and their applications, with a focus on their role in treatment response evaluation. MRI emerges as the technique with the highest sensitivity in lesions' detection and PET/CT as the technique with a major impact on prognosis. Their comparison yields different results concerning the best tool to evaluate treatment response. The inhomogeneity of the data suggests the need to address limitations related to these tools with the employment of new techniques and the potential for a complementary use of both PET/CT and MRI to refine the sensitivity and achieve the standards for minimal residual disease (MRD) evaluation.
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