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American journal of clinical oncology · 2025

Содействие обнаружению MRD в множественной миеломе: технологии, прикладные технологии и перспективы на будущее.

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Chen B, Pan Q, Dong Y

Аннотация

Множественная миелома (ММ) — злокачественная гематологическая опухоль плазменных клеток, которая сопряжена со значительными трудностями в лечении и управлении. Несмотря на появление в последние годы новых методов лечения, которые позволили улучшить результаты лечения пациентов, полное искоренение этого заболевания остается труднодостижимой целью. Это подчеркивает настоятельную необходимость углубленных исследований и текущей инновационной деятельности для решения проблемы ММ. Обнаружение минимальных остаточных заболеваний (МВД) стало жизненно важным инструментом оценки эффективности лечения и прогнозирования прогнозов в отношении пациентов с ММ, что привлекло к себе большое внимание и привлекло к себе большое внимание в последние годы. В настоящем документе содержится всеобъемлющий обзор последних достижений в области основных методов обнаружения MRD для пациентов, страдающих от MM, включая многопараметрическую цитометрию потока (MFC), специфическую по алле олигонуклеотидную количественную ПЦР в режиме реального времени (ASO-qPCR) и последовательность следующего поколения (NGS). Она включает в себя клиническое применение MRD-диагностики, прогнозирует будущие разработки и предлагает ценные знания для совершенствования диагностических и терапевтических стратегий. Благодаря постоянным исследованиям и инновациям мы надеемся обеспечить более благоприятные терапевтические перспективы для пациентов с ОМ.
Оригинал публикации

Advancing MRD Detection in Multiple Myeloma: Technologies, Applications, and Future Perspectives.

Multiple myeloma (MM) is a malignant hematologic tumor of plasma cells that presents significant challenges in treatment and management. Despite the advent of novel therapies in recent years, which have improved patient outcomes, complete eradication of the disease remains an elusive goal. This underscores the critical need for in-depth research and ongoing innovation to tackle MM. Minimal residual disease (MRD) detection has emerged as a vital tool for evaluating treatment efficacy and predicting prognosis in MM patients, garnering extensive attention and application in recent years. This paper provides a comprehensive review of recent advancements in major MRD detection methods for MM patients, including multiparametric flow cytometry (MFC), allele-specific oligonucleotide real-time quantitative PCR (ASO-qPCR), and next-generation sequencing (NGS). It delves into the clinical applications of MRD detection, anticipates future developments, and offers valuable insights for improving diagnostic and therapeutic strategies. Through persistent research and innovation, we hope to bring better therapeutic prospects to MM patients.

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https://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.

Multiple myeloma (MM) primarily originates from the abnormal proliferation of plasma cells in the bone marrow, leading to malignant hematologic changes. The hallmark of this disease is the clonal expansion of plasma cells in the bone marrow, often accompanied by the production of monoclonal immunoglobulins (M proteins). 1 Over the past decade, the introduction of novel therapies has significantly improved the life expectancy of MM patients. With modern multimodal therapeutic strategies, more than 70% of MM patients achieve complete remission (CR) during frontline treatment. 2 However, even among those achieving CR, some patients remain minimal residual disease (MRD) positive, which increases the risk of early relapse. Compared with patients with sustained MRD negativity, those who achieve CR but are MRD-positive experience significantly shorter progression-free survival (PFS) and overall survival (OS). 3 , 4 MRD detection enables the identification of residual tumor cells at a microscopic level, providing a scientific basis for implementing more precise treatment strategies, making it highly significant in the management of MM. 5 In 2016, the International Myeloma Working Group introduced an innovative recommendation to incorporate MRD monitoring into the evaluation of treatment efficacy for MM. This initiative not only deepened the understanding of disease status but also established a consensus standard for reporting MRD status. 6 Advanced detection technologies are essential to identify disease states beyond the traditionally defined CR. The primary techniques for detecting MRD in MM patients include multiparametric flow cytometry (MFC), allele-specific oligonucleotide real-time quantitative PCR (ASO-qPCR), and next-generation sequencing (NGS). 7 , 8 This paper explores these advanced detection technologies in detail, addressing the technical and clinical challenges of MRD detection while outlining future research directions. With the continued advancement and standardization of detection methods, MRD detection is poised to play an increasingly pivotal role in the treatment and management of MM.

MRD DETECTION METHODS

Multiparametric Flow Cytometry (MFC)

Flow cytometry is a highly sensitive detection technology widely used for monitoring MRD in MM patients. This technique leverages fluorescently labeled monoclonal antibodies that bind to specific surface and intracellular markers, enabling complex multiparametric analyses to precisely identify and quantify abnormal plasma cells in the bone marrow. In recent years, advancements in technology, particularly the use of 8 to 10-color flow cytometry, have significantly enhanced the accuracy of MRD detection. Traditional 4 to 6-color flow cytometry has certain limitations in distinguishing normal plasma cells from malignant plasma cells. In contrast, 8 to 10-color flow cytometry, by incorporating more markers, improves differentiation and achieves a sensitivity of 10 −4 to 10 −5 . In 2016, clinical guidelines for MRD detection in MM patients recommended an 8-color approach. This method can accurately detect the core markers of abnormal plasma cells, including CD38, CD138, CD45, and CD19 negativity, as well as identify the expression of CD5 and cytoplasmic kappa (κ) or lambda (λ) immunoglobulin light chains. 9 – 11

In 2017, researchers compared MRD detection using next-generation flow (NGF) and conventional 8-color flow cytometry. NGF identified an MRD positivity rate of 47%, significantly higher than the 34% detected by traditional 8-color flow cytometry. Moreover, 25% of patients who tested MRD-negative using conventional MFC were found to be MRD-positive with NGF, highlighting NGF’s superior sensitivity in overcoming the limitations of traditional MFC methods. 12

MFC provides real-time MRD detection results, enabling clinicians to rapidly adjust treatment plans based on these findings. Regular MRD testing during maintenance therapy facilitates the monitoring of disease progression, early identification of potential relapse, and timely interventions. Frequent MRD assessments allow for earlier relapse detection, optimizing treatment strategies accordingly. 13

Allele-specific Oligonucleotide Real-time Quantitative PCR (ASO-qPCR)

ASO-qPCR is a highly sensitive molecular biology technique used to detect specific gene mutations or polymorphisms. This method distinguishes subtle differences between alleles by using allele-specific oligonucleotide primers (ASO primers) to target and amplify specific DNA sequences. ASO-qPCR can detect extremely low levels of residual disease, achieving a sensitivity of 10 −5 to 10 −6 . This high sensitivity makes ASO-qPCR particularly advantageous for early detection and monitoring of residual disease. 4 , 14

Through MRD detection, ASO-qPCR aids in predicting relapse risk and provides a more accurate prognosis for patients. It is applicable in various treatment settings, including induction chemotherapy, consolidation therapy, and autologous or allogeneic stem cell transplantation, thereby improving long-term survival rates. 4 , 15

In MM patients, common genetic alterations include rearrangements of immunoglobulin heavy and light chain genes. By designing ASO primers specific to these rearranged sequences, MRD can be detected with high sensitivity. 16 , 17 However, ASO-qPCR has certain limitations. Initially standardized for MRD detection in acute lymphoblastic leukemia (ALL) rather than MM, it faces challenges in MM due to high somatic hypermutation rates. These challenges limit the applicability of ASO-RQ-PCR for detecting myeloma cells. 17 Achieving the high sensitivity and utility of ASO-qPCR for MRD detection requires repeated standard curve establishment, PCR cloning, and mismatch analysis. 17

Next-generation Sequencing (NGS)

NGS is a high-throughput sequencing technology capable of rapidly sequencing millions of DNA fragments simultaneously. It provides comprehensive insights into genome structure, genetic variations, gene expression profiles, and epigenetic modifications, delivering unmatched capabilities for analyzing DNA and RNA molecules in a highly efficient and cost-effective manner. 18 , 19 In addition to IgH rearrangements, multiple driver gene mutations, such as KRAS, NRAS, and BRAF, are frequently observed in MM patients. 20 NGS can analyze a patient’s genome to accurately detect these mutations and rearrangements, thereby identifying resistant subclonal cancer populations that may lead to disease relapse. It can also help pinpoint potential targets for personalized therapy. 21

NGS offers a sensitivity of up to 10 −6 , meaning it can detect one residual cancer cell among one million cells. 22 The development of NGS has largely replaced ASO-qPCR. Although ASO-qPCR is highly sensitive, its applicability is limited; only 50% to 60% of patients have patient-specific probes capable of reliably identifying IgH clones after somatic hypermutation, whereas NGS methods (non-patient-specific) achieve applicability rates of 90% to 92%. 15 , 23 This underscores the broader applicability of NGS, eliminating the laborious need to develop patient-specific primers. Studies comparing the sensitivity of NGS and NGF show similar results at a sensitivity of 10 −5 , with both detecting MRD negativity in over 90% of CR patients. Differences in detection results become apparent only at a sensitivity of 10 −6 . 24 , 25 An MRD-negative status detected by NGS indicates a deeper remission, which is a critical prognostic indicator for patients who have already achieved CR.

Imaging Methods for MRD Detection

Whole-body magnetic resonance imaging (WB MRI), computed tomography with 18F-fluorodeoxyglucose (18F-FDG-PET/CT), and positron-emission tomography are sensitive methods for identifying widespread tumor infiltration in the BM, extramedullary disease, and localized lesions. 26 In assessing treatment responses, multiple cohorts have been rigorously analyzed using these methods, demonstrating an association between negative results and favorable responses along with prolonged survival rates. 27 – 29 The recent guidelines from the IMWG established PET/CT as the reference tool for defining imaging and MRD negativity when combined with NGS or MFC. 6 Imaging, by capturing the expansion of tumor cells at a whole-body level and distinguishing between active and inactive lesions, may be considered as an additional layer of minimal residual disease (MRD) interpretation. 30

A study by Zamangi and colleagues confirms that FDG-PET/CT after therapy serves as a reliable predictor of long-term outcomes in patients with NDTEMM. The findings of this study suggest that hepatic uptake should be adopted as a straightforward and reproducible reference for determining PET negativity post-therapy, applicable in both clinical trials and routine clinical practice. The agreement between CMR and MFC negativity was 0.76, specifically 0.64 for FLs and 0.92 for BM. Patients who attained both PET/CT complete metabolic response and minimal residual disease negativity at post-treatment monitoring exhibited significantly prolonged progression-free survival, with survival probabilities at 24 and 48 months being 95% and 81%, respectively, compared with 70% and 59% in other patients (HR 0.45, CI 0.23-0.88, P 0.020). 31

APPLICATIONS OF MRD DETECTION IN MM TREATMENT

Prognostic Assessment

Extensive studies have demonstrated that MRD-negative status is significantly associated with longer PFS and OS in MM patients. Joaquin Martinez-Lopez and colleagues found that MM patients with MRD negativity detected by NGS had significantly higher 5-year progression-free survival rates compared with MRD-positive patients. 32 Thoma and colleagues reported that achieving MRD negativity within 12 months reduces the risk of disease progression, and the impact of treatment on MRD correlates with its influence on PFS. 33 In addition, a large meta-analysis confirmed the positive role of MRD negativity in long-term survival outcomes for MM patients. 34

PET-positive lesions after therapy are significantly associated with poor prognosis. Several studies have indicated that patients achieving complete remission (CR) who exhibit FDG-PET/CT negativity after ASCT experience a reduced risk of progression or mortality compared with those with metabolically active disease sites. 35 – 41

Treatment Adjustment

MRD detection results serve as a critical basis for treatment adjustments. For MRD-positive patients, intensifying treatment through extended cycles or modified drug combinations may be necessary to eliminate residual cancer cells. Conversely, for MRD-negative patients, reducing treatment intensity could minimize side effects and improve quality of life. 32 – 34 , 42

MRD detection not only evaluates the effectiveness of current treatments but also serves as a tool for relapse monitoring. Regular MRD monitoring improves the success rate of therapy by enabling timely intervention at the early stages of disease recurrence.

Current Challenges and Future Prospects

Despite significant advancements in MRD detection technology, several challenges remain in its practical application. Advanced MRD detection methods such as NGS and NGF involve high costs for instruments, reagents, and consumables. Although NGS offers high specificity and enables the detection of multiple gene mutations and rearrangements simultaneously and provides comprehensive genomic information; its data analysis is complex, and the associated costs remain prohibitive for widespread use. NGF, although relatively more cost-effective, requires high technical expertise, complex downstream data analysis, and significant cellular input. 30 , 43

Another major challenge in MRD detection is the lack of standardized protocols across laboratories. Differences in methodologies, sample handling, and data interpretation can lead to inconsistent results, making it difficult to compare outcomes across studies and clinical settings. 30 , 44

Future advancements in MRD detection technologies, such as improved NGS sensitivity and the development of new methods like single-cell sequencing, hold the promise of overcoming existing limitations. These advances will enable more precise and comprehensive MRD evaluations. Large-scale, multicenter clinical studies will help establish unified standards and guidelines for MRD detection, promoting its global application. As technology matures and becomes more widely adopted, associated costs are expected to decrease. Economies of scale and innovations will make these methods more affordable, facilitating their integration into routine clinical practice.

Liquid biopsy is a noninvasive strategy for disease monitoring through the analysis of circulating tumor DNA (ctDNA) or circulating tumor plasma cells (CTCs). This approach is becoming a promising noninvasive tool, notably for monitoring response to treatment in lymphomas. 45 – 47 Moreover, the development of these blood-based MRD strategies is crucial to overcome pitfalls related to BM samples. Detecting ctDNA or CTCs is of particular relevance in MM, as both sources better represent the multifocal “patchy” nature of the disease rather than relying on aspiration at a single marrow site to reflect the complete cancer milieu, which is not realistic. In addition, recurrent and frequent sampling of peripheral blood is feasible and painless as opposed to BM. Although its clinical utility is still under investigation, new emergent data is becoming available in the context of plasma cell disorders (PCDs). 48 Overall, liquid biopsies may provide a dynamic and comprehensive picture of the genomic landscape in MM and, even more, a noninvasive approach to monitor tumor burden. However, these methods are still novel and demand further research, especially when comparing results with matched BM assessments. 49 , 50 Therefore, the implementation of liquid biopsies for MM requires validation and harmonization of the assays.

All mass spectrometry (MS) methods have a similar basis for detecting M-proteins: the unique sequence of the 3 CDRs of the Ig. Two main MS approaches have been described so far by the IMWG, 51 both taking the enrichment of each patient’s Igs as the starting point but with different downstream detection and analysis of the target molecule. One of these methods divides the Ig into peptides specific to the CDR by enzymatic digestion (clonotypic peptide approach), whereas the other one chemically reduces and denatures Igs into heavy and light chains to measure the distribution of the LC mass (intact LC approach). Besides these 2 approaches, the first results of a third MS version termed ‘quantitative immunoprecipitation mass spectrometry’ (QIP-MS) have been recently presented. 52 This assay enables the identification, quantification, and typing of complete and LC-only M-proteins at once. Preliminary results from the Spanish GEM group showed a strong association of MRD and a shorter survival detected by either QIP-MS or NGF, with a high correlation between techniques. 53 However, more studies are needed to discern the best MS method and its clinical implications.

CONCLUSION

MRD detection plays a pivotal role in the diagnosis and treatment of MM. Utilizing advanced detection technologies such as multiparametric flow cytometry, ASO-qPCR, and NGS significantly enhances the sensitivity and specificity of MRD detection, providing strong support for personalized treatment plans and early identification of relapse risks. However, challenges remain in the standardization of techniques, cost management, and clinical integration. Consistency and comparability of MRD detection results are undoubtedly affected by procedural and standard differences across laboratories and institutions. Furthermore, the high costs of equipment and reagents limit the widespread adoption of these advanced technologies, particularly in resource-limited settings. The role of MRD detection in the precision treatment of MM will continue to grow. Future research directions include optimizing existing technologies, exploring new biomarkers and algorithms, and promoting standardization and cost reduction. These efforts will further enhance the accuracy and accessibility of MRD detection, providing patients with more effective treatment options and personalized care strategies.

In summary, MRD detection has become an essential component of MM diagnosis and treatment. It not only provides scientific evidence for treatment planning but also helps adjust strategies in a timely manner to improve patients’ quality of life and extend survival. With advancements in medical technology and accumulation of clinical experience, the critical role of MRD detection in cancer therapy will become increasingly evident, offering better outcomes and long-term prognoses for every patient.

B.C. proposed the research idea and designed the experimental plan; responsible for data analysis, original draft writing, and finalizing the article writing. Q.P. proposed the research idea and designed the experimental plan; responsible for data analysis, original draft writing, and finalizing the article writing. Y.D. proposed the research idea and designed the experimental plan; responsible for data analysis, original draft writing, and finalizing the article writing.

The authors declare no conflicts of interest.

REFERENCES

1 Van de Donk NWCJ Pawlyn C Yong KL . Multiple myeloma . Lancet . 2021 ; 397 : 410 – 427 . 33516340 10.1016/S0140-6736(21)00135-5

2 Wijnands C Noori S Donk NWCJvd . Advances in minimal residual disease monitoring in multiple myeloma . Crit Rev Clin Lab Sci . 2023 ; 60 : 518 – 534 . 37232394 10.1080/10408363.2023.2209652

3 Paiva B Vidriales M-B Cerveró J . Multiparameter flow cytometric remission is the most relevant prognostic factor for multiple myeloma patients who undergo autologous stem cell transplantation . Blood . 2008 ; 112 : 4017 – 4023 . 18669875 10.1182/blood-2008-05-159624 PMC2581991

4 Martinez-Lopez J Lahuerta JJ Pepin F . Prognostic value of deep sequencing method for minimal residual disease detection in multiple myeloma . Blood . 2014 ; 123 : 3073 – 3079 . 24646471 10.1182/blood-2014-01-550020 PMC4023416

5 Mina R Oliva S Boccadoro M . Minimal residual disease in multiple myeloma: state of the art and future perspectives . J Clin Med . 2020 ; 9 : 2142 . 32645952 10.3390/jcm9072142 PMC7408660

6 Kumar S Paiva B Anderson KC . International Myeloma Working Group consensus criteria for response and minimal residual disease assessment in multiple myeloma . Lancet Oncol . 2016 ; 17 : e328 – e346 . 27511158 10.1016/S1470-2045(16)30206-6

7 Ding H Xu J Lin Z . Minimal residual disease in multiple myeloma: current status . Biomark Res . 2021 ; 9 : 75 . 34649622 10.1186/s40364-021-00328-2 PMC8515655

8 Diamond BT Rustad E Maclachlan K . Defining the undetectable: the current landscape of minimal residual disease assessment in multiple myeloma and goals for future clarity . Blood Rev . 2021 ; 46 : 100732 . 32771227 10.1016/j.blre.2020.100732 PMC9928431

9 Gupta R Kumar L Dahiya M . Minimal residual disease evaluation in autologous stem cell transplantation recipients with multiple myeloma . Leuk Lymphoma . 2016 ; 58 : 1234 – 1237 . 27658735 10.1080/10428194.2016.1228930

10 Litvak A Kumar A Wong RJ . Successful perioperative use of prothrombin complex concentrate in the treatment of acquired factor X deficiency in the setting of systemic light-chain (AL) amyloidosis . Am J Hematol . 2014 ; 89 : 1153 – 1154 . 10.1002/ajh.23813 25060940

11 Gormley NJ Turley DM Dickey JS . Regulatory perspective on minimal residual disease flow cytometry testing in multiple myeloma . Cytometry Part B Clin Cytom . 2015 ; 90 : 73 – 80 . 10.1002/cyto.b.21268 26108351

12 Flores-Montero J Sanoja-Flores L Paiva B . Next generation flow for highly sensitive and standardized detection of minimal residual disease in multiple myeloma . Leukemia . 2017 ; 31 : 2094 – 2103 . 28104919 10.1038/leu.2017.29 PMC5629369

13 Rawstron AC de Tute RM Haughton J . Measuring disease levels in myeloma using flow cytometry in combination with other laboratory techniques: Lessons from the past 20 years at the Leeds Haematological Malignancy Diagnostic Service . Cytometry Part B Clin Cytom . 2015 ; 90 : 54 – 60 . 10.1002/cyto.b.21271 26147493

14 Bai Y Orfao A Chim CS . Molecular detection of minimal residual disease in multiple myeloma . Br J Haematol . 2017 ; 181 : 11 – 26 . 29265356 10.1111/bjh.15075

15 Puig N Sarasquete ME Balanzategui A . Critical evaluation of ASO RQ-PCR for minimal residual disease evaluation in multiple myeloma. A comparative analysis with flow cytometry . Leukemia . 2013 ; 28 : 391 – 397 . 23860448 10.1038/leu.2013.217

16 Silvennoinen R Lundan T Kairisto V . Comparative analysis of minimal residual disease detection by multiparameter flow cytometry and enhanced ASO RQ-PCR in multiple myeloma . Blood Cancer J . 2014 ; 4 : e250 – e250 . 25303369 10.1038/bcj.2014.69 PMC4220647

17 Bai Y Wong KY Fung TK . High applicability of ASO-RQPCR for detection of minimal residual disease in multiple myeloma by entirely patient-specific primers/probes . J Hematol Oncol . 2016 ; 9 : 107 . 27724958 10.1186/s13045-016-0336-4 PMC5057274

18 Pareek CS Smoczynski R Tretyn A . Sequencing technologies and genome sequencing . J Appl Genet . 2011 ; 52 : 413 – 435 . 21698376 10.1007/s13353-011-0057-x PMC3189340

19 Pei XM Yeung MHY Wong ANN . Targeted sequencing approach and its clinical applications for the molecular diagnosis of human diseases . Cells . 2023 ; 12 : 493 . 36766834 10.3390/cells12030493 PMC9913990

20 Perroud C Thurian D Andres M . Effect of MAPK activation via mutations in NRAS, KRAS, and BRAF on clinical outcome in newly diagnosed multiple myeloma . Hematol Oncol . 2023 ; 41 : 912 – 921 . 37452600 10.1002/hon.3208

21 El Fazazi I Ihlal H Abbassi M Next generation sequencing in diagnosis of multiple myeloma . 2023 . DOI: 10.20944/preprints202307.1110.v1

22 Perrot A Lauwers-Cances V Corre J . Minimal residual disease negativity using deep sequencing is a major prognostic factor in multiple myeloma . Blood J Am Soc Hematol . 2018 ; 132 : 2456 – 2464 . 10.1182/blood-2018-06-858613 PMC6284215 30249784

23 Ladetto M Brüggemann M Monitillo L . Next-generation sequencing and real-time quantitative PCR for minimal residual disease detection in B-cell disorders . Leukemia . 2013 ; 28 : 1299 – 1307 . 24342950 10.1038/leu.2013.375

24 Oliva S Genuardi E Belotti A . Minimal residual disease evaluation by multiparameter flow cytometry and next generation sequencing in the forte trial for newly diagnosed multiple myeloma patients . Blood . 2019 ; 134 ( Supplement_1 ): 4322 – 4322 .

25 Medina A Puig N Flores-Montero J . Comparison of next-generation sequencing (NGS) and next-generation flow (NGF) for minimal residual disease (MRD) assessment in multiple myeloma . Blood Cancer J . 2020 ; 10 : 108 . 33127891 10.1038/s41408-020-00377-0 PMC7603393

26 Regelink JC Minnema MC Terpos E . Comparison of modern and conventional imaging techniques in establishing multiple myeloma-related bone disease: a systematic review . Br J Haematol . 2013 ; 162 : 50 – 61 . 23617231 10.1111/bjh.12346

27 Messiou C Hillengass J Delorme S . Guidelines for acquisition, interpretation, and reporting of whole-body MRI in myeloma: myeloma response assessment and diagnosis system (MY-RADS) . Radiology . 2019 ; 291 : 5 – 13 . 30806604 10.1148/radiol.2019181949

28 Belotti A Ribolla R Cancelli V . Predictive role of diffusion-weighted whole-body MRI (DW-MRI) imaging response according to MY-RADS criteria after autologous stem cell transplantation in patients with multiple myeloma and combined evaluation with MRD assessment by flow cytometry . Cancer Med . 2021 ; 10 : 5859 – 5865 . 34263564 10.1002/cam4.4136 PMC8419770

29 Zamagni E Nanni C Dozza L . Standardization of 18F-FDG-PET/CT according to deauville criteria for metabolic complete response definition in newly diagnosed multiple myeloma . J Clin Oncol . 2021 ; 39 : 116 – 125 . 33151787 10.1200/JCO.20.00386

30 Medina-Herrera A Sarasquete ME Jiménez C . Minimal residual disease in multiple myeloma: past, present, and future . Cancers . 2023 ; 15 : 3687 . 37509348 10.3390/cancers15143687 PMC10377959

31 Zamagni E Oliva S Gay F . Impact of minimal residual disease standardised assessment by FDG-PET/CT in transplant-eligible patients with newly diagnosed multiple myeloma enrolled in the imaging sub-study of the FORTE trial . EClinicalMedicine . 2023 ; 60 : 102017 . 37396807 10.1016/j.eclinm.2023.102017 PMC10314158

32 Oliva S Genuardi E Paris L . Prospective evaluation of minimal residual disease in the phase II FORTE trial: a head-to-head comparison between multiparameter flow cytometry and next-generation sequencing . eClinicalMedicine . 2023 ; 60 : 102016 . 37396800 10.1016/j.eclinm.2023.102016 PMC10314153

33 Landgren O Prior TJ Masterson T . EVIDENCE meta-analysis: evaluating minimal residual disease as an intermediate clinical endpoint for multiple myeloma . Blood J . 2024 ; 144 : 359 – 367 ; blood. 2024024371 . 10.1182/blood.2024024371 PMC11418064 38768337

34 Paiva B San-Miguel J Avet-Loiseau H . MRD in multiple myeloma: does CR really matter? Blood . 2022 ; 140 : 2423 – 2428 . 35560160 10.1182/blood.2022016170

35 Zamagni E Patriarca F Nanni C . Prognostic relevance of 18-F FDG PET/CT in newly diagnosed multiple myeloma patients treated with up-front autologous transplantation [published correction appears in Blood. 2012 Sep 13;120(11):2349] . Blood . 2011 ; 118 : 5989 – 5995 . 21900189 10.1182/blood-2011-06-361386

36 Bartel TB Haessler J Brown TL . F18-fluorodeoxyglucose positron emission tomography in the context of other imaging techniques and prognostic factors in multiple myeloma . Blood . 2009 ; 114 : 2068 – 2076 . 19443657 10.1182/blood-2009-03-213280 PMC2744568

37 Moreau P Attal M Caillot D . Prospective evaluation of magnetic resonance imaging and [18F]fluorodeoxyglucose positron emission tomography-computed tomography at diagnosis and before maintenance therapy in symptomatic patients with multiple myeloma included in the IFM/DFCI 2009 trial: results of the IMAJEM study . J Clin Oncol . 2017 ; 35 : 2911 – 2918 . 28686535 10.1200/JCO.2017.72.2975 PMC5578392

38 Beksac M Gunduz M Ozen M . Impact of PET-CT response on survival parameters following autologous stem cell transplantation among patients with multiple myeloma: comparison of two cut-off values . Blood . 2014 ; 124 : 3983 .

39 Dimitrakopoulou-Strauss A Hoffmann M Bergner R . Prediction of progression-free survival in patients with multiple myeloma following anthracycline-based chemotherapy based on dynamic FDG-PET . Clin Nucl Med . 2009 ; 34 : 576 – 584 . 19692817 10.1097/RLU.0b013e3181b06bc5

40 Davies FE Rosenthal A Rasche L . Treatment to suppression of focal lesions on positron emission tomography-computed tomography is a therapeutic goal in newly diagnosed multiple myeloma . Haematologica . 2018 ; 103 : 1047 – 1053 . 29567784 10.3324/haematol.2017.177139 PMC6058800

41 Zamagni E Nanni C Mancuso K . PET/CT improves the definition of complete response and allows to detect otherwise unidentifiable skeletal progression in multiple myeloma . Clin Cancer Res . 2015 ; 21 : 4384 – 4390 . 26078390 10.1158/1078-0432.CCR-15-0396

42 Ben Lassoued A Nivaggioni V Gabert J . Minimal residual disease testing in hematologic malignancies and solid cancer . Expert Rev Mol Diagn . 2014 ; 14 : 699 – 712 . 24938122 10.1586/14737159.2014.927311

43 Kostopoulos IV Ntanasis-Stathopoulos I Gavriatopoulou M . Minimal residual disease in multiple myeloma: current landscape and future applications with immunotherapeutic approaches . Front Oncol . 2020 ; 10 : 860 . 32537439 10.3389/fonc.2020.00860 PMC7267070

44 Foureau DM Paul BA Guo F . Standardizing clinical workflow for assessing minimal residual disease by flow cytometry in multiple myeloma . Clin Lymphoma Myeloma Leuk . 2023 ; 23 : e41 – e50 . 36443182 10.1016/j.clml.2022.10.008 PMC10448729

45 Scherer F Kurtz DM Diehn M . High-throughput sequencing for noninvasive disease detection in hematologic malignancies . Blood . 2017 ; 130 : 440 – 452 . 28600337 10.1182/blood-2017-03-735639 PMC5881609

46 Roschewski M Dunleavy K Pittaluga S . Circulating tumour DNA and CT monitoring in patients with untreated diffuse large B-cell lymphoma: a correlative biomarker study [published correction appears in Lancet Oncol. 2015 May;16(5):e199. doi: 10.1016/S1470-2045(15)70217-2] . Lancet Oncol . 2015 ; 16 : 541 – 549 . 25842160 10.1016/S1470-2045(15)70106-3 PMC4460610

47 Kurtz DM Green MR Bratman SV . Noninvasive monitoring of diffuse large B-cell lymphoma by immunoglobulin high-throughput sequencing . Blood . 2015 ; 125 : 3679 – 3687 . 25887775 10.1182/blood-2015-03-635169 PMC4463733

48 Mithraprabhu S Chen M Savvidou I . Liquid biopsy: an evolving paradigm for the biological characterisation of plasma cell disorders [published correction appears in Leukemia. 2021 Oct;35(10):3037. doi: 10.1038/s41375-021-01399-8] . Leukemia . 2021 ; 35 : 2771 – 2783 . 34262132 10.1038/s41375-021-01339-6

49 Allegra A Cancemi G Mirabile G . 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 : 4136 ; Published 2022 Aug 26 . 36077672 10.3390/cancers14174136 PMC9454477

50 Li S Zhang E Cai Z . Liquid biopsy by analysis of circulating myeloma cells and cell-free nucleic acids: a novel noninvasive approach of disease evaluation in multiple myeloma . Biomark Res . 2023 ; 11 : 27 ; Published 2023 Mar 8 . 36890597 10.1186/s40364-023-00469-6 PMC9997021

51 Murray DL Puig N Kristinsson S . Mass spectrometry for the evaluation of monoclonal proteins in multiple myeloma and related disorders: an International Myeloma Working Group Mass Spectrometry Committee Report . Blood Cancer J . 2021 ; 11 : 24 ; Published 2021 Feb 1 . 33563895 10.1038/s41408-021-00408-4 PMC7873248

52 Campbell L Simpson D Ramasamy K . Using quantitative immunoprecipitation mass spectrometry (QIP-MS) to identify low level monoclonal proteins . Clin Biochem . 2021 ; 95 : 81 – 83 . 34058191 10.1016/j.clinbiochem.2021.05.012

53 Puig N Agulló C Contreras Sanfeliciano T . Clinical impact of next generation flow in bone marrow vs Qip-Mass Spectrometry in peripheral blood to assess minimal residual disease in newly diagnosed multiple myeloma patients receiving maintenance as part of the GEM2014MAIN Trial . Blood . 2022 ; 140 ( Supplement 1 ): 2098 – 2100 .

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты