| Literature DB >> 31448230 |
Irene Della Starza1,2, Sabina Chiaretti1, Maria S De Propris1, Loredana Elia1, Marzia Cavalli1, Lucia A De Novi1, Roberta Soscia1, Monica Messina1, Antonella Vitale1, Anna Guarini1,3, Robin Foà1.
Abstract
Introduction: Acute lymphoblastic leukemia (ALL) is the first neoplasm where the assessment of early response to therapy by minimal residual disease (MRD) monitoring has proven to be a fundamental tool to guide therapeutic choices. The most standardized methods to study MRD in ALL are multi-parametric flow cytometry (MFC) and polymerase chain reaction (PCR) amplification-based methods. Emerging technologies hold the promise to improve MRD detection in ALL patients. Moreover, novel therapies, such as monoclonal antibodies, bispecific T-cell engagers, and chimeric antigen receptor T cells (CART) represent exciting advancements in the management of B-cell precursor (BCP)-ALL. Aims: Through a review of the literature and in house data, we analyze the current status of MRD assessment in ALL to better understand how some of its limitations could be overcome by emerging molecular technologies. Furthermore, we highlight the future role of MRD monitoring in the context of personalized protocols, taking into account the genetic complexity in ALL. Results and Conclusions: Molecular rearrangements (gene fusions and immunoglobulin and T-cell receptor-IG/TR gene rearrangements) are widely used as targets to detect residual leukemic cells in ALL patients. The advent of novel techniques, namely next generation flow cytometry (NGF), digital-droplet-PCR (ddPCR), and next generation sequencing (NGS) appear important tools to evaluate MRD in ALL, since they have the potential to overcome the limitations of standard approaches. It is likely that in the forthcoming future these techniques will be incorporated in clinical trials, at least at decisional time points. Finally, the advent of new powerful compounds is further increasing MRD negativity rates, with benefits in long-term survival and a potential reduction of therapy-related toxicities. However, the prognostic relevance in the setting of novel immunotherapies still needs to be evaluated.Entities:
Keywords: acute lymphoblastic leukemia (ALL); digital droplet PCR (ddPCR); flow cytometry; minimal residual disease (MRD); next generation flow cytometry (NGF); next generation sequencing (NGS); novel agents; real time quantitative PCR (RQ-PCR)
Year: 2019 PMID: 31448230 PMCID: PMC6692455 DOI: 10.3389/fonc.2019.00726
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 6.244
Technical comparison of MRD standard methods.
| Multicolor flow cytometry | Leukemia-associated immunophenotypes | >90% | Cell suspension (peripheral blood, bone marrow, needle aspirates of several tissues) | Absolute | 3–4 colors:10−3/10−4 6–8 colors: 10−4 | Fast Widely applicable Single cell analysis Easy storage of data Information on whole population Standardized | Relatively sensitive Operator dependent Relatively expensive Cell number available |
| Real-time quantitative (RQ) PCR | Recurrent fusion genes | 30–40% | Nucleic acid (RNA/DNA) | Related to cell line or plasmid DNA (on RNA) Related to diagnosis (on DNA) | 10−4/10−5 | High sensitivity Rapid Relatively easy Stable throughout treatment Well standardized on DNA Applicable to specific leukemia subgroups: BCR-ABL1 & KMT2A-AF4 | Limited applicability (target-negative in >50% of patients) RNA instability Risk of contamination Limited standardization on RNA Relatively expensive on DNA |
| Real-time quantitative (RQ) PCR | IG/TR gene rearrangements | 90–95% | Nucleic acid (DNA) | Related to diagnosis on DNA | 10−4/10−5 | High sensitivity Good applicability Well standardized: international guidelines for analysis and data interpretation | Dependent on ASO-primer Laborious and time consuming Affected by clonal evolution Large amount of diagnostic DNA Relatively expensive |
Figure 1An example of standard flow cytometry MRD analysis. Sample preparation from peripheral and/or bone marrow blood requires staining with fluorescent conjugate antibodies. Data acquisition requires: (1) the stained cells through a laser beam, (2) registration of fluorescence emission from conjugate cells. This is followed by data analysis with a specific software.
Figure 2An example of RQ-PCR MRD analysis by a IGHV gene rearrangement according to EuroMRD Consortium guidelines. Patient-specific primers are used to detect malignant cells among normal lymphoid cells during follow-up. Serial dilutions of the diagnostic DNA in DNA from healthy donors are performed to verify the sensitivity and specificity of each designed primer and of each PCR assay (A), and to obtain a regression curve (B) for the precise quantification of fluorescent levels at the single time points. Afterwards, the primer suitable for analysis is used for MRD study (C). A control gene analysis (i.e., albumin) must be performed for the diagnostic and for each follow-up sample, in order to assess the amount and quality (amplificability) of the DNA in each reaction (D).
Technical comparison of MRD novel methods.
| NGF | Leukemia-Associated Immunophenotypes | >95% | Cell suspension (peripheral blood, bone marrow, needle aspirates of several tissues) | Absolute | 10−4/10−6 | High sensitivity High applicability Fast and reproducible Accurate quantification Highly standardized with possibilities for automated gating | Education and training required Many cells needed to reach the required sensitivity Requires fresh material analyzed within 24 h after sampling Expensive |
| ddPCR | IG/TR gene rearrangement | 90–95% | Nucleic acid (DNA) | Absolute | 10−4/10−5 | High sensitivity Good applicability (90-95%) no need of standard curve easy | Dependent on ASO-primer No standardized: no guidelines for analysis and data interpretation Available in few labs Relatively expensive |
| NGS | IG/TR gene rearrangements | >95% | Nucleic acid (DNA) | Absolute | 10−4/10−6 (depending on amounts of DNA analyzed) | High sensitivity High applicability (>95%) Potential to identify clonal evolution Provides information on background repertoire of B and T cells Not dependent on ASO-prime | No standardized: no guidelines for analysis and data interpretation Available in few labs Discrimination from normal clonal background Need of a bioinformatic analysis Expensive |
Figure 3Schematic representation of normal and malignant B-cell precursor by multidimensional analysis based on EuroFiow-based NGF-MRD. This analysis is not based on a single marker but on multiple required antigens, allowing to define the degree of immunophenotypic deviation of BCP-ALL cells from normal BCP, visualized in multivariate analysis plots. (1) Representation of Automated population separation (APS) of physiological phases of B-cell maturation. (2) Plot of ALL cells (red dots) with respect to normal BCP cells (green dots). (3) Plot of ALL cells (red dots) with respect to immature CD34+ BCP cells only (green dots). Adapted from van Dongen et al. (60).
Figure 4An example of ddPCR MRD analysis. In the (A) is reported a schematic diagram of a ddPCR experiment. 1-Step: the mix reaction is prepared with the same primer/probes of the TaqMan assay. Both the reaction and the DNA samples are partitioned into 20,000 droplets of identical volume through a microfluidic system. 2-Step: in a thermal cycler 20,000 PCR reactions are amplified and fluorescence is the output during the reaction of polymerization. 3-Step: a droplet reader analyzes each droplet individually and detects an increased fluorescence in positive droplets, which contains at least one copy of target DNA. (B) Each droplet is plotted on the graph of fluorescence intensity vs. droplet number (B1). The concentration is calculated on the fraction of empty droplets (green bar) that are the fraction that does not contain any target DNA by software (B2). Fraction of positive droplets is fitted to a Poisson algorithm to determine absolute copy number, results are presented in copies per 1-μL (B3).
Figure 5MRD analysis by both RQ-PCR and ddPCR in 504 follow up samples from 176 patients with several hematological malignancies (Acute Lymphoblastic Leukemia, n = 80, Follicular Lymphoma, n = 48, Chronic Lymphocytic Leukemia, n = 40, Mantle Cell Lymphoma, n = 8). The study was performed on bone marrow (BM) and peripheral blood (PB) samples, based on the material availability. MRD detection was concordantly positive or negative in 78% (393/504) of FU samples (r = 0.78, P < 0.0001), while 22% (111/504) were identified as discordant (A). Most of the discordances occurred in FU samples with a low level of disease - positive not quantifiable or negative—and did not appear to cluster in specific disease subsets. Overall, the use of ddPCR significantly reduced the proportion of PNQ samples compared to RQ-PCR (64/504 [13%] vs. 89/504 [18%], respectively) (p = 0.03), increasing the proportion of Q samples (212/504 [42%] vs. 169/504 [33.5%], p = 0.006). In (B) is reported the concordance rate (78%) between the two methods on all BM samples analyzed (unpublished data). Q, positive and quantifiable; PNQ, positive and not quantifiable; NEG, negative.
Figure 6An example of NGS MRD analysis. (A) starting from genomic DNA, a library is prepared by fragmentation and conjugation with adaptive sequences, composed with few nucleotides. The library is subsequently amplified and sequenced, with the production of so-called ≪reads≫. (B) Data analysis is performed through the use of bioinformatic tools, that align experiment-derived reads to a reference genome.
Pivotal studies on MRD prognostic value on Ph– ALL.
| Basso et al. ( | Flow cytometry | Day 15 |
| UKALL XII/ ECOG2993 trialPatel et al. ( | RQ-PCR of Ig/T-cell receptor gene rearrangements, among others; MRD–: RQ-PCR <10−4 | After phase 1 and 2 induction and after intensification |
| Joint analysis of EWALLGiebel et al. ( | Flow cytometry or PCR-based; MRD–: <0.1% of bone marrow cells | Before HSCT |
| GMALLGökbuget et al. ( | RQ-PCR of Ig/T-cell receptor gene rearrangements; MRD– with assay sensitivity of ≥10−4 | Day 71 and at week 16 |
| NILG-ALL 09/00 trialBassan et al. ( | RQ-PCR of Ig/T-cell receptor gene rearrangements; MRD–: <10−4 | Weeks 16 and 22 |
| PETHEMA ALL-AR-03 trialRibera et al. ( | Flow cytometry; MRD-: 5 × 10−4 | After induction and early consolidation |
| Salah-Eldin et al. ( | RQ-PCR of clonally rearranged Ig; MRD– with assay sensitivity of ≥10−3 | After induction and after consolidation |
| GRAALL trialsDhèdin et al. ( | RQ-PCR of Ig/T-cell receptor gene rearrangements; MRD–: ≤ 10−3 | Week 6 |
| NILG 10/07 trialBassan et al. ( | RQ-PCR of Ig/T-cell receptor gene rearrangements; MRD–: <10−4 | Week 10 |
| Salek et al. ( | Flow cytometry or PCR-based; MRD–: <10−4 with assay sensitivity of ≥10−4 | At the beginning of each chemotherapy cycle and at the end of the second induction cycle |
| Short et al. ( | Flow cytometry; MRD– with assay sensitivity of 0.01% | At the time of CR or CRp and again 3 months later |
| Berry et al. ( | Flow cytometry or PCR-based; MRD–: ≤ 0.01% | After induction and after consolidation |
| Gökbuget et al. ( | RQ-PCR of clonally rearranged Ig or Flow cytometry; MRD–: <10−4 by RQ-PCR or ≤ 10−3 by flow cytometry |
Based on metanalysis of previously published data.
Pivotal studies on MRD prognostic value on Ph+ ALL.
| Foà et al. ( | RQ-PCR for BCR-ABL1 transcript and flow cytometry; Molecular response defined as a BCR-ABL1/ABL1 <10−3; Flow cytometry sensitivity: 0.01%; | Days 22, 43, 57, and 85 |
| Mizuta et al. ( | RQ-PCR for BCR-ABL1 transcript (sensitivity at least of 10−5); MRD–: BCR-ABL1/GAPDH <10−5 | Before and at HSCT |
| Lee et al. ( | RQ-PCR for BCR-ABL1 transcript; MRD– [BCRABL1/ABL1 ratio ≤ 0.1%] or CR [undetectable BCR-ABL1] | After 2 courses of chemotherapy, before HSCT |
| Pfeifer et al. ( | RQ-PCR for BCR-ABL1 transcript; Low MRD level defined as a BCR–ABL1/ABL1 ≤ 10−4 | After HSCT |
| Ravandi et al. ( | RQ-PCR for BCR-ABL1 transcript, flow cytometry and IGH-PCR: Major molecular response (MMR) defined as a BCR-ABL1/ABL1 <0.1%; IGH-PCR sensitivity: ~0.2–1%. Flow cytometry sensitivity: 0.01%; | At the end of induction and at ~3 months intervals thereafter |
| GIMEMA 1509 trialChiaretti et al. ( | RQ-PCR for BCR-ABL1 transcript; Complete molecular response (CMR) defined as BCR-ABL1/ABL1 = 0 | Day 85 |
| Kim et al. ( | RQ-PCR for BCR-ABL1 transcript (sensitivity at least of 10−5); MRD–: BCR-ABL1/GAPDH ratio < = 10−5 | Every 3 months from CRh until end of maintenance therapy |
| Chalandon et al. ( | RQ-PCR for BCR-ABL1 transcript; Molecular CR defined by the absence of detectable MRD with a sensitivity of at least 0.01% | After cycle 1 and cycle 2 |
| NILG 09/00 and 10/07 trialLussana et al. ( | RQ-PCR for BCR-ABL1 transcript; MRD–: BCR-ABL1/ABL1 <1 × 10−5 | Before HSCT |
| Ravandi et al. ( | RQ-PCR for BCR-ABL1 transcript, flow cytometry and IGH-PCR: Major molecular response (MMR): BCR-ABL1/ABL1 <0.1%; IGH-PCR sensitivity: ~0.2–1%. Flow cytometry sensitivity: of 0.01%. | Day 21 and then every 2–3 cycles during the intensive phase, and approximately every 3 months during the maintenance phase |
| Nishiwaki et al. ( | RQ-PCR for BCR-ABL1 transcript (sensitivity at least of 10−5); MRD–: BCR-ABL1/GAPDH ratio <10−5 | Within 30 days prior to HSCT |
| Chiaretti et al. ( | RQ-PCR for BCR-ABL1 transcript; Complete molecular response (CMR) defined as BCR-ABL1/ABL1 = 0 | Day +35, +50, and post consolidation |
| Yoon et al. ( | RQ-PCR for BCR-ABL1 transcript; MMR was defined as BCR-ABL1/ABL1 ≤ 0.1% for p210 or a reduction in the BCR-ABL1 transcript level by at least 3-log for p190. Complete molecular response defined as the absence of detectable BCR-ABL1transcripts | During TKI-based chemotherapy, before HSCT |