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  • 1
    In: Blood, American Society of Hematology, Vol. 114, No. 22 ( 2009-11-20), p. 2808-2808
    Abstract: Abstract 2808 Poster Board II-784 Background and aims: Characterization of the IgH receptor provides useful insights to understand the pathogenesis and natural history of lymphoid tumors. For example the recognition of stereotyped clusters of immunoglobulin receptors has been a major step forward to understand the pathogenesis of chronic lymphocytic leukemia (CLL). IgH rearrangements have been less extensively investigated in MM, mostly because of lack of large databases of IgH sequences. At our Institution a large number of MM patients has undergone IgH sequencing for minimal residual disease (MRD) evaluation. This database has been merged with MM IgH sequences available in the literature, resulting in 308 MM sequences which have been employed to comprehensively investigate the characteristics of the IgH rearrangement in this tumor. Patients and methods: 131 IgH genes from MM patients were amplified and direct sequenced at our Institution (mostly for MRD detection purposes) from specific cDNA obtained at diagnosis, as already described (Voena et al, Leukemia 1997). 177 MM IgH sequences were derived from published databases (NCBI and EMBL). To further characterize the IgH repertoire, we have then compared the MM complementarity-determining region 3 (HCDR3) amino acid (AA) sequences to a panel of productive, non redundant 27413 HCDR3 AA sequences retrieved from public databases (EMBL, NCBI, IMGT/LIGM-DB: 25655 sequences) and from our unpublished laboratory database (1758 sequences), including sequences from malignant B-cell clones (3197 CLL, 1217 lymphomas) and from non malignant repertoire (2685 autoreactive, 4408 immunederegulation/immunodeficiency, 15429 normal and 477 phage display libraries). All the sequences have been analyzed using the IMGT database and tools (Lefranc et al., Nucleic Acid Res. 2005; http://imgt.cines.fr/) to identify IGHV, IGHD and IGHJ gene usage, to assess the somatic hypermutation (SHM) rate and to identify HCDR3 AA sequences. HCDR3 AA sequences were aligned together, in search of subsets of stereotyped receptors, using the ClustalX 2.0 software (http://www.clustal.org/). To define subsets of stereotyped IgH receptors, we followed the criteria proposed by Messmer et al. (J Exp Med. 2004) and Stamatopoulos et al. (Blood, 2007). Results: No significant differences were noted between our Institutional and published MM databases. Overall IGHV usage in MM appeared in keeping with the normal B cell repertoire with predominance of IGHV3 family (53.9%) followed by IGHV4 (slightly under-represented in MM, 17.2% vs 23.2%, p=0.02) and IGHV1 (12%); besides an over-representation of IGHV2 (7.8% vs 2.3%, p 〈 0.001) was noticed. A modest but significant (p 〈 0.05) over-representation of the IGHV3-9 (5.2% vs 2.6%), IGHV3-21 (4.5% vs 2%), IGHV5-51 (4.5% vs 2.2%) genes and under-representation of the IGHV3-23 (8.1% vs 12.2%) and IGHV4-34 (1% vs 6.5%, p 〈 0.001) were observed. IGHD and IGHJ followed a distribution similar to that of normal IgH repertoire. The median SHM rate was 7.5% (range 0-28%): interestingly we found one single patient with 100% identity to the germline sequence and only three patients with 〉 98% identity. The median length of the HCDR3 was 15 AA (range 7-29), again in line with normal IgH repertoire. Intra MM search for HCDR3 similarity showed no association which met minimal requirements to define stereotyped receptors. The comparison of MM sequences with non MM database showed that 98% of MM sequences are unrelated to known CLL subsets. Among the remaining, 3 MM sequences could be assigned to previously identified CLL subsets (namely n. 25, n. 37 and n. 71 according to Murray et al., Blood 2008) whereas 2 MM formed 2 novel provisional subsets with CLL. When HCDR3 MM were compared to the database of non MM/CLL HCDR3, similarities were found with clones from normal B cells, while similarities with autoreactive clones and other B cell malignancies were sporadic. Conclusions: The analysis of the largest database of MM IgH sequences so far reported indicate the following: 1) Family usage in the MM IgH repertoire follows a nearly physiological distribution apart for modest skewing of a number of IGHV genes; 2) MM specific HCDR3 clusters do not occur to a frequency detectable with currently available databases; 3) The vast majority of MM sequences are not related to known CLL clusters; 4) MM IgH sequences share more similarities with normal IgH sequences compared to those derived from pathological B lymphoid cells. Thus to state of current knowledge there is little evidence in favor of an antigen driven pathogenesis for this neoplasm. Disclosures: No relevant conflicts of interest to declare.
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    ISSN: 0006-4971 , 1528-0020
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    Publisher: American Society of Hematology
    Publication Date: 2009
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  • 2
    In: Mechanisms of Ageing and Development, Elsevier BV, Vol. 133, No. 7 ( 2012-7), p. 479-488
    Type of Medium: Online Resource
    ISSN: 0047-6374
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2012
    detail.hit.zdb_id: 1502520-2
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  • 3
    In: Blood, American Society of Hematology, Vol. 116, No. 21 ( 2010-11-19), p. 2951-2951
    Abstract: Abstract 2951 Background: The identification of stereotyped immunoglobulin (IG) receptors has improved our knowledge on the pathogenesis of several B-cell malignancies, suggesting the role of antigen-driven stimulation in chronic lymphocitic leukemia (CLL), marginal-zone lymphoma (MZL) and mantle-cell lymphoma (MCL). Multiple myeloma (MM) is a terminally-differentiated neoplasm no longer expressing surface IG; however some reports suggest the existence of early B-lymphocyte precursors which could be susceptible to antigen-driven stimulation. IG heavy chain (IGH) repertoire has not been extensively investigated in MM, with the largest available reports containing less than 80 complete sequences. Aims: To address this issue we created a database of MM IGH sequences including our institutional records (mostly derived from minimal residual disease studies) and sequences available from the literature. We planned a two-step analysis: a) first we characterized the MM repertoire and performed intra-MM clustering analysis; b) then we compared our MM series to a large public database of IGH sequences from neoplastic and non-neoplastic B-cells in search of similarities between MM sequences and other normal or neoplastic IGH repertoires. Patients and methods: 131 MM IGH genes were amplified and sequenced at our Institutions and belonged to Italian patients, while 214 MM IGH sequences from non-Italian patients were derived from published databases (NCBI-EMBL-IMGT/LIGM-DB) for a total of 345 fully interpretable MM sequences (out of 396). 28590 IGH sequences from other malignant and non-malignant B-cells were retrieved from the same public databases, including approximately 4500 CLL/Non-Hodgkin lymphoma (NHL) sequences and comprising 500 sequences from Italian patients. All sequences were analyzed using the IMGT database and tools (Lefranc et al., Nucleic Acid Res. 2005; http://imgt.cines.fr/) to identify IGHV-D-J gene usage, to assess the somatic hypermutation (SHM) rate and to identify HCDR3. HCDR3 aminoacidic sequences were aligned together using the ClustalX 2.0 software (Larkin et al., Bioinformatics, 2007; http://www.clustal.org/). Subsets of stereotyped IGH receptors were defined according to Stamatopoulos et al. (Blood, 2007). Result: IGHV analysis in MM was almost in keeping with the normal B-cell repertoire, showing a less remarkably biased IGH usage compared to CLL, MCL and MZL (with seven genes accounting for 40% of cases, compared to respectively five, three and two genes). However, a modest but significant over-representation of IGHV1-69, 2–5, 2–70, 3–21, 3–30-3, 3–43, 5–51 and 6-1 genes and under-representation of the IGHV1-18, 1–8, 3–30, 3–53 and 4–34 was noticed. The rate of somatic hypermutation in MM followed a Gaussian distribution with a median value of 7.8%. Intra-MM search for HCDR3 similarities never met minimal requirements for stereotyped receptors. When MM sequences were compared to non-MM database, only a minority of MM sequences (2.6%, n=9) clustered with sequences from lymphoid tumors and normal B-cells (figure 1A). In particular two non-Italian MM sequences clustered with previously characterized, uncommon CLL subsets (n.37 and n.71 according to Murray et al., Blood 2008). Moreover, novel provisional clusters were observed including three MM-CLL subsets, one MM-NHL subset, and three MM-normal B-cell subsets. While the MM-normal B-cell clusters involved non-Italian patients, we unexpectedly noticed that the four MM-CLL/MM-NHL clusters were composed exclusively of Italian patients, as shown in figure 1B, although Italian subjects represented less than 12% of the entire CLL-NHL database. Conclusion: The analysis of the largest currently available database of MM IGH sequences indicates the following: 1) MM IGH repertoire is closer to physiological distribution than that of CLL, MCL and MZL; 2) MM specific clusters do not occur to a frequency detectable with currently available databases; 3) 98% of MM sequences are not related to other “highly-clustered” lymphoproliferative disorders; 4) Uncommon clustering phenomena may follow a geographical rather than a disease-related pattern. Disclosures: No relevant conflicts of interest to declare.
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    ISSN: 0006-4971 , 1528-0020
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    Publisher: American Society of Hematology
    Publication Date: 2010
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  • 4
    In: Blood, American Society of Hematology, Vol. 110, No. 11 ( 2007-11-16), p. 1131-1131
    Abstract: Vγ9/Vδ2 (γδ) T cells have an important effector and regulatory role in innate and adaptive immunity against microbes, stressed cells and tumor cells. They represent less than 5% of peripheral blood lymphocytes, but can be activated and expanded in vitro by aminobisphosphonates (ABP) like zoledronic acid (Zol), as surrogates of their natural ligands. In this study, we have investigated the proliferative response of γδ T cells to Zol in 59 patients with chronic lymphocytic leukemia (CLL) at diagnosis. Proliferation of γδ T cells was observed in 30 patients (51%)(responders, R), whereas 29 patients (49%) were non-responders (NR). γδ T-cell subset distribution [e.g., naive (TN), central memory (TCM), effector memory (TEM), and terminally differentiated effector memory (TEMRA)] was well balanced in R patients, whereas TEM and TEMRA were largely predominant in NR patients. TEMRA of NR patients had a unique profile of NK receptors expression, characterized by the expression of the ILT4 inhibitory receptor, whereas R patients tended to have an higher expression of the costimulatory molecule NKG2D. Notably, HLA-G, a negative prognosticator in CLL and a well known ILT4 ligand, was more expressed in tumor cells of NR patients. This correlation prompted us to determine whether other tumor cell features were different in R and NR patients. Indeed, the latter showed significantly higher tumor cell counts, higher frequency of poor-risk cytogenetic abnormalities, and a significantly shorter median time to first treatment. Lastly, a very significant association was observed with the mutational status of the tumor immunoglobulin heavy chain variable region (IgVH), which was mutated (M) in 96% of R patients, and unmutated (UM) in 74% of NR patients. To gain further insight into this association, we evaluated the activity of the mevalonate pathway in tumor cells of M and UM patients. This pathway, that can be targeted by Zol, generates the phosphoantigens naturally recognized by γδ T cells. Bioinformatic and biochemical approaches showed that this pathway is more active in tumor cells of UM than M patients. Based on these data, we propose that tumor cells of UM CLL patients can more easily engage γδ T cells and, in the long run, exhaust their immune surveillance potential by driving their differentiation into functionally impaired TEMRA. In conclusion, we have identified a novel mechanism of immune escape which can contribute to the disease progression in UM CLL patients.
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    Publisher: American Society of Hematology
    Publication Date: 2007
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  • 5
    In: Blood, American Society of Hematology, Vol. 126, No. 23 ( 2015-12-03), p. 2645-2645
    Abstract: Background. Recently, the somatic MYD88L265P mutation has been found as the hallmark of Waldenström Macroglobulinemia (WM), being detectable in nearly 90% of cases, as well as in up to 50% of IgM MGUS, rarely in other non-Hodgkin lymphomas and never in multiple myeloma (MM). Beyond its potential diagnostic role, this mutation has been associated with tumor growth and therapy resistance. Moreover, MYD88L265P might represent an ideal marker for minimal residual disease (MRD) monitoring in a disease whose therapeutic scenario has been rapidly changing, with many new available and highly effective drugs (nucleoside analogues, proteasome and BTK-inhibitors). However, the current MYD88L265P allele-specific quantitative PCR (ASqPCR) diagnostic tool lacks sensitivity (1.00E-03) and thus is not suitable for MRD. Moreover, is not useful to test peripheral blood (PB), that harbors low concentrations of circulating tumor cells (especially after immunochemotherapy), neither to assess cell-free DNA (cfDNA), usually present at very low amount in plasma. Therefore, our study aims: 1) to assess whether a highly sensitive tool as droplet digital PCR (ddPCR) might be helpful in MYD88L265P screening; 2) to evaluate whether MYD88L265P might be a suitable marker for MRD monitoring in WM. Methods. Bone marrow (BM) and PB samples were collected at diagnosis and during follow-up from a local series of patients affected by WM, IgM MGUS and IgG-secreting lymphoplasmacytic lymphoma (LPL), as well as samples from healthy subjects and MM were used as negative controls. Genomic (gDNA) and cell-free DNA (cfDNA) were extracted as recommended (Qiagen). MYD88L265P was assessed on 100 ng of gDNA by ASqPCR as previously described [Xu 2013] and by ddPCR, using a custom dual labelled probe assay (Bio-Rad). When available, 50 ng of cfDNA were tested for MYD88L265P, only by ddPCR. ddPCR was performed on 20 µl of reaction at 55°C for 40 cycles, run on QX100 droplet reader and analyzed by QuantaSoft v1.6.6 (Bio-Rad). MYD88L265P ASqPCR level was estimated as described [Treon 2012] . ΔCT 〈 8.4 identified a MYD88L265P positive sample. Similarly, MYD88L265P ddPCR cut-off was settled on the highest healthy samples level. IGH rearrangements identification and IGH-based MRD analysis were performed as previously described [van der Velden 2007] . Results. Once the ddPCR assay was optimized, the sensitivity of MYD88L265P ddPCR was compared to ASqPCR on a ten-fold serial dilution standard curves built with a 70% MYD88L265P mutated WM sample, previously identified by Sanger sequencing [Treon 2012]. Whereas ASqPCR confirmed the reported sensitivity of 1.00E−03, ddPCR reached a sensitivity of 5.00E−05. Thereafter, overall 105 samples (48 BM, 57 PB, 52 diagnosis and 53 follow up) from 58 patients (49 WM, 5 IgM MGUS and 4 LPL) as well as 20 controls (15 healthy subjects and 5 MM) were tested by both methods. 32/33 (97%) diagnostic BM scored positive for MYD88L265P by both ddPCR and ASqPCR (being the only one negative a WM), while ddPCR, was able to detect more mutated cases, than ASqPCR, among diagnostic PB samples: 15/19 (79%) vs 9/19 (47%) (Table1). Moreover, to investigate whether the MYD88L265P ddPCR tool could be used for MRD detection we compared it to the standardized IGH-based MRD. An IGH-based MRD marker was found in 40/53 (75%) patients (37 WM and 3 LPL). Five Patients, so far analyzed, with baseline and follow up samples (18 BM, 5 PB) showed highly superimposable results between the two methods. Finally, pivotal results on cfDNA from 10 patients showed higher median levels of MYD88L265P mutation in plasma if compared to PB. Conclusions. We developed a new tool for diagnosis and MRD monitoring in WM, showing that: 1) ddPCR is a highly sensitive tool for MYD88L265P detection, especially useful in low infiltrated samples, like PB; 2) MYD88L265P can be effectively and easily used for MRD monitoring in WM, achieving similar results to standardized IGH-based MRD; 3) cfDNA recovered from plasma might be an attractive alternative for MYD88L265P detection, deserving further investigation. Methodological validation against IgH-based MRD detection and Flow cytometry and correlations with clinical impact are currently ongoing on external samples series. Table 1.PATIENTSWM (45)LPL (2)IgM MGUS (5)TISSUEBMPBBMPBBMPBSAMPLES31141114MYD88L265P ddPCR/ASqPCR30/3011/71/10/01/14/2 TABLE 1. MYD88L265P mutation detection in diagnostic samples: ddPCR vs ASqPCR Disclosures Boccadoro: Sanofi: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Onyx Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen-Cilag: Consultancy, Membership on an entity's Board of Directors or advisory committees.
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    ISSN: 0006-4971 , 1528-0020
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    Publisher: American Society of Hematology
    Publication Date: 2015
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  • 6
    In: Blood, American Society of Hematology, Vol. 124, No. 21 ( 2014-12-06), p. 44-44
    Abstract: Background Evaluation of minimal residual disease (MRD) by molecular methods is used as a surrogate of potential eradication of myeloma cells. Prolonged high-rates of molecular remission were reported after myeloablative allografting. However, recent studies on consolidation therapy after an autograft reported 18% of PCR negativity by qualitative nested PCR and a molecular response of 63% by quantitative RQ-PCR (Ferrero et al. Leukemia 2014). The aim of our study was that of evaluating depth of response by molecular methods induced by graft-vs.-myeloma following tandem autologous/non-myeloablative allografting in newly diagnosed myeloma. Patients and Methods. Twenty-six patients enrolled in prospective clinical trials (ClinicalTrial.gov Identifier: NCT-00702247, and NCT01264315) with a diagnostic bone marrow (BM) specimen suitable for immunoglobulin heavy-chain gene rearrangement sequencing were evaluated for MRD by qualitative nested PCR and quantitative RQ-PCR. A patient specific marker was generated for 19/26 (73%). Sensitivity of nested PCR was 3 neoplastic rearrangements in 106 normal cells while each RQ-PCR showed a standard curve correlation coefficient of at least 0.95 with a slope of 3.0 to 3.9 with minimum sensitivity of 10-5 (according to Euro-MRD criteria). Transplant plan consisted of a standard autograft (melphalan 200 mg/m2) followed by 200 cGy TBI and an allograft. Post-transplant donor lymphocyte infusions or maintenance/consolidation with new drugs were not allowed until clinical relapse. BM samples were collected at diagnosis, after the autograft, at month 1, 3, 6 after the allograft and then every 6 months or as clinically indicated. MRD negativity by nested-PCR or by RQ-PCR was defined as al least two consecutive samples scored negative. Results. At a median follow-up of 11.9 years (6.1-15.2) from diagnosis and 11.0 years (5.0-14.2) from the allograft, median overall survival (OS) for the entire patient cohort was not reached and median event-free survival (EFS) was 4 years from the allograft. Overall transplant-related mortality was 11.5% at 1 year and 15.4% at 5 years. Relapse was 3.8% at 1 year, 30.8% at 3 years and 34.6% at 5 years. Cumulative incidence of acute II-IV GVHD was 26.9%. At follow up, only 2 patients were on immunosuppression for limited chronic GVHD. In the 19/26 (73%) patients with a molecular marker, the rate of nested-PCR negativity remained low at month 3 (3/19, 16%) after the allograft and gradually increased at month 6 and 12 up to 44% (8/18) and 47% (7/15) respectively. By RQ-PCR analysis, the overall tumor reduction of the whole treatment was 13.80 ln and progressively increased through the autograft, the allograft and the post-transplant period (p 〈 0.001). After the autograft a median reduction of 4.59 ln and one month after the allograft a further decrease of 4.83 ln were observed. At month 3, MRD levels were similar to those at month 1 whereas a further decrease of 4.61 ln was observed at month 6 suggesting progressive graft-vs.-myeloma effect. At 2 years, the overall molecular response by RQ-PCR was 63%. Overall, 8 relapses occurred. Five/8 in the 11 patients who never showed a molecular response; 1 in a patient negative by RQ-PCR but positive by nested PCR. In those who reached nested PCR negativity, 1 showed molecular relapse two years before clinical relapse and 1 relapsed 8 months after the last PCR-negative sample. At median follow up, median OS and EFS were not reached in patients who achieved nested PCR negativity whereas median OS and EFS were 3.3 years and 1.5 years in the remaining patients (p 0.023 and p 0.009). Similarly, median OS and EFS were not reached in all patients who achieved a molecular response by RQ-PCR as compared with those who did not (p 0.046 and p 0.025). Conclusions. G raft-vs-myeloma after non-myeloablative allografting reported prolonged rates of qualitative (nested PCR) molecular remissions similar to those after myeloablative allografting and higher than the recently reported combination of autografting and consolidation with anti-myeloma agents. Quantitative RQ-PCR analysis showed a deeper tumor reduction after non-myeloablative allografting than consolidation with new drugs. In the light of our results, it may be ethical to evaluate the combination of graft-vs-myeloma with newer anti-myeloma agents on larger series of young high risk and early relapsed patients where life expectancy is poor also in the era of new drugs. Disclosures No relevant conflicts of interest to declare.
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    ISSN: 0006-4971 , 1528-0020
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    Publisher: American Society of Hematology
    Publication Date: 2014
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  • 7
    In: Blood, American Society of Hematology, Vol. 132, No. Supplement 1 ( 2018-11-29), p. 920-920
    Abstract: Background and Aims. Minimal residual disease (MRD) detection by PCR-based methods is a relevant outcome predictor in MCL, however it is not clear which might represent the most effective methodology (nested vs real-time quantitative PCR, RQ-PCR), the most informative tissue source (bone marrow, BM, vs peripheral blood, PB), the best timing of analysis (midterm vs post-therapy) and the added value of performing multiple MRD determinations. To address these issues a systematic MRD detection program was performed in the Fondazione Italiana Linfomi (FIL) MCL0208 trial (NCT02354313), a prospective, randomized phase III trial comparing lenalidomide maintenance vs observation after an intensive citarabine containing chemo-immunotherapy (R-HDS) program followed by ASCT in 300 frontline MCL patients 〈 66 years [Cortelazzo EHA2015]. Patients and methods. MRD was assessed with ASO primers on either IGH or BCL-1/IGH rearrangements by both nested and RQ-PCR in a Euro-MRD certified lab, both in PB and BM samples at the following time points (TP): diagnosis, after 3 R-CHOP-21 and R-high-dose cyclophosphamide (R-HD-CTX), after R-high-dose Ara-C (R-HDAC), after ASCT and every six months thereafter. Landmark analysis starting 12 months after consent using Cox models was performed based on MRD negativity at each TP. To evaluate the effect of MRD on PFS and OS, we considered also the whole follow-up (FU) period, including all available MRD evaluations as time-varying covariates, both in a dichotomous (pos vs. neg) and cumulative manner (0, 1, 2 or more consecutive MRD-negative results). Finally, the discrimination ability of MRD vs clinical evaluation after ASCT was assessed in the randomized population in terms of C index. All effects were estimated adjusting for MIPI score. Results. A total of 1476 BM and 1482 PB samples were collected, for a sampling compliance rate of 93%. 250 patients (83%) had a molecular marker and showed higher median baseline tumor infiltration by flow cytometry than no marker patients (BM 8.70% vs 0.35). 231/250 (92%) patients presented at least one FU sample and were thus studied for MRD by nested PCR, while 163/231 (71%) were studied also by RQ-PCR, according to the EuroMRD guidelines. Rates of MRD negativity in BM and PB by nested-PCR, as well as by RQ-PCR, were 29%, 46%, 36% and 49% after R-HD-CTX, 53%, 78%, 73% and 87% after R-HDAC, and 54%, 79%, 81% and 89% after ASCT, respectively. MRD positivity at every TP (either by nested or RQ-PCR, either in BM or PB) showed a two-fold higher risk of relapse or death during the six months following the sampling, independently of MIPI. Remarkably, similar two-fold HRs were recorded in terms of OS, too (Table 1A). In detail, RQ-PCR showed a higher risk increase than nested-PCR, as well as BM than PB. In the landmark analysis we found that the risk of relapse gradually increased, the more MRD negativity occurs later during therapy; actually, compared to patients with MRD response after R-HD-CTX, the HR was 1.24 for MRD responders after R-HDAC, 1.51 after ASCT and 2.04 for patients never achieving MRD response by RQ-PCR in BM (Table 1B). Therefore, 3y-PFS for patients MRD positive vs negative in BM by RQ-PCR was 53% vs 66% (HR=1.57, p=0.033) after R-HD-CTX, 47% vs 64% (HR=1.47, p=0.241) after R-HDAC and 25% vs 66% (HR=2.47, p=0.037) after ASCT. Overall, the PFS discrimination ability of MRD negativity after ASCT was better than the clinical response in terms of C-index (0.67 vs 0.62), according to Cox models including MIPI and randomization arm. Most importantly, the PFS risk seemed to follow a downward trend, according to the accumulation of MRD negative results, independently of the single TP. Actually, the presence of 2 or 3 consecutive MRD negative results conferred a significantly reduced risk of relapse, refining the risk stratification of a single MRD negativity (Table 1C). E.g., focusing on RQ-PCR in BM, the HR for relapse was 0.60 for a single negativity, 0.40 for 2 consecutive negative results and 0.27 for 3 or more. Conclusions. 1) MRD results are predictive both for PFS and OS in MCL; 2) RQ-PCR is the most reliable MRD technique and data derived from BM samples provide the best risk stratification; 3) MRD analysis performed at the TP post R-HD-CTX and post ASCT well describes patients' relapse risk, independently from MIPI, however: 4) a kinetic model, based on the combination of 2 or more MRD TP, provides a powerful risk stratification tool, suitable for MRD-guided treatment. Disclosures Vitolo: Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Sandoz: Speakers Bureau; Gilead: Speakers Bureau; Takeda: Speakers Bureau; Janssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Roche: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau.
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    Publisher: American Society of Hematology
    Publication Date: 2018
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  • 8
    In: Hematological Oncology, Wiley, Vol. 37, No. 4 ( 2019-10), p. 368-374
    Abstract: In 2009, the four laboratories of the Fondazione Italiana Linfomi (FIL) minimal residual disease (MRD) Network started a collaborative effort to harmonize and standardize their methodologies at the national level, performing quality control (QC) rounds for follicular lymphoma (FL) and mantle cell lymphoma (MCL) MRD assessment. In 16 QC rounds between 2010 and 2017, the four laboratories received 208 bone marrow (BM) samples (126 FL; 82 MCL); 187 were analyzed, according to the EuroMRD Consortium guidelines, by both nested (NEST) polymerase chain reaction (PCR) and real‐time quantitative (RQ) PCR for BCL2/IGH MBR or IGHV rearrangements. Here, we aimed at analyzing the samples that challenged the interlaboratory reproducibility and data interpretation. Overall, 156/187 BM samples (83%) were concordantly classified as NEST+/RQ+ or NEST−/RQ− by all the four laboratories. The remaining 31 samples (17%) resulted alternatively positive and negative in the interlaboratory evaluations, independently of the method and the type of rearrangement, and were defined “borderline” (brd) samples: 12 proved NEST brd/RQ brd, 7 NEST−/RQ brd, 10 NEST brd/RQ positive not quantifiable (PNQ), and 2 NEST brd/RQ−. Results did not change even increasing the number of replicates/sample. In 6/31 brd samples, droplet digital PCR (ddPCR) was tested and showed no interlaboratory discordance. Despite the high interlaboratory reproducibility in the MRD analysis obtained and maintained by the QC round strategy, samples with the lowest MRD levels can still represent a challenge: 17% (31/187) of our samples showed discordant results in interlaboratory assessments, with 6.4% (12/187) remained brd even applying the two methods. Thus, although representing a minority, brd samples are still problematic, especially when a clinically oriented interpretation of MRD results is required. Alternative, novel methods such as ddPCR and next‐generation sequencing have the potential to overcome the current limitations.
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    ISSN: 0278-0232 , 1099-1069
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    Language: English
    Publisher: Wiley
    Publication Date: 2019
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  • 9
    In: Diagnostics, MDPI AG, Vol. 11, No. 5 ( 2021-04-26), p. 779-
    Abstract: In IgM monoclonal gammopathies MYD88L265P is a prognostic and predictive biomarker of therapy response. MYD88L265P detection is mainly performed by allele-specific quantitative PCR (ASqPCR), however recently, droplet digital PCR (ddPCR) has been proved to be suitable for MYD88L265P screening and minimal residual disease monitoring (MRD). This study compared ASqPCR and ddPCR to define the most sensitive method for MYD88L265P detection in bone marrow (BM), peripheral blood (PB) sorted or unsorted CD19+ cells, and in plasma cell-free DNA (cfDNA). Overall, the analysis showed a good concordance rate (74%) between the two methods, especially in BM samples, while discordances (26%) were mostly in favor of ddPCR (ddPCR+ vs. ASqPCR-) and were particularly evident in samples with low mutational burden, such as PB and cfDNA. This study highlights ddPCR as a feasible approach for MYD88L265P detection across different specimen types (including cfDNA). Interestingly, its high sensitivity makes CD19+ selection dispensable. On the other hand, our results showed that MYD88L265P detection on PB samples, especially with ASqPCR, is suboptimal for screening and MRD analysis. Finally, significantly different MYD88L265P mutational levels observed between Waldenström Macroglobulinemia and IgM monoclonal gammopathy of undetermined significance patients suggest the need for further studies in order to identify possible correlations between mutational levels and risk of progression to Waldenström.
    Type of Medium: Online Resource
    ISSN: 2075-4418
    Language: English
    Publisher: MDPI AG
    Publication Date: 2021
    detail.hit.zdb_id: 2662336-5
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  • 10
    In: Therapeutic Advances in Hematology, SAGE Publications, Vol. 4, No. 3 ( 2013-06), p. 189-198
    Abstract: The identification of patients at high risk of relapse is a critical goal of modern translational research in oncohematology. Minimal residual disease (MRD) detection by polymerase chain reaction-based methods is routinely employed in the management of patients with acute lymphoblastic leukemia. Current knowledge indicates that it is also a useful prognostic tool in several mature lymphoproliferative disorders and particularly in follicular lymphoma (FL). Based on this evidence clinical trials employing MRD-based risk stratification are currently ongoing in FL. In this review the ‘state of the art’ of MRD evaluation in FL is discussed. A short description of technical issues and recent methodological advances is provided. Then, the bulk of the review focuses on critical take-home messages for clinicians working in the field. Finally, we discuss future perspectives of MRD detection and more generally outcome prediction in FL.
    Type of Medium: Online Resource
    ISSN: 2040-6207 , 2040-6215
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2013
    detail.hit.zdb_id: 2585183-4
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