Abstract
Tyrosine kinase inhibitors (TKIs) targeting the BCR-ABL1 fusion protein, encoded by the Philadelphia chromosome, have drastically improved the outcomes for patients with chronic myeloid leukemia (CML). Although several real-time quantitative polymerase chain reaction (RQ-PCR) kits for the detection of BCR-ABL1 transcripts are commercially available, their accuracy and efficiency in laboratory practice require reevaluation. We have developed a new in-house RQ-PCR method to detect minimal residual disease (MRD) in CML cases. MRD was analyzed in 102 patients with CML from the DOMEST study, a clinical trial to study the rationale for imatinib mesylate discontinuation in Japan. The BCR-ABL1/ABL1 ratio was evaluated using the international standard (IS) ratio, where IS < 0.1% was defined as a major molecular response. At enrollment, BCR-ABL1 transcripts were undetectable in all samples using a widely-applied RQ-PCR method performed in the commercial laboratory, BML (BML Inc., Tokyo, Japan); however, the in-house method detected the BCR-ABL1 transcripts in five samples (5%) (mean IS ratio: 0.0062 ± 0.0010%). After discontinuation of imatinib, BCR-ABL1 transcripts were detected using the in-house RQ-PCR in 21 patients (21%) that were not positive using the BML method. Nineteen samples were also tested using a commercially available RQ-PCR assay kit with a detection limit of IS ratio, 0.0032 (ODK-1201, Otsuka Pharmaceutical Co., Tokyo, Japan). This method detected low levels of BCR-ABL1 transcripts in 14 samples (74%), but scored negative for five samples (26%) that were positive using the in-house method. From the perspective of the in-house RQ-PCR method, number of patients confirmed loss of MMR was 4. These data suggest that our new in-house RQ-PCR method is effective for monitoring MRD in CML.
Introduction
Chronic myeloid leukemia (CML) is a disease that arises in hematopoietic stem cells and is caused by a reciprocal translocation between chromosomes 9 and 22 (t(9;22)(q34;q11.2)), referred to as the Philadelphia chromosome, which generates BCR-ABL1 fusion transcripts. The BCR-ABL1 protein constitutively activates tyrosine kinase (TK) [1] that causes unregulated proliferation of abnormal blood cells, and consequently interrupts normal hematopoiesis. Theoretically, TK inhibition was expected to be an effective cure for CML, and imatinib, which competitively inhibits phosphorylation of BCR-ABL1, was developed in 2001 and is used as a frontline TK inhibitor (TKI) [2–5]. Currently, according to the European Society of Medical Oncology (ESMO) Clinical Practice Guideline (2017), three commercially available TKIs, imatinib, dasatinib, and nilotinib, can be used for the CML therapy with no significant difference in survival rate [6].
To monitor the response to treatment with TKI, several assessment methods have been employed as follows: (1) complete hematologic response, determined by examination of complete blood cell counts and differentiated by flow cytometry; (2) complete cytogenetic response, evaluated using bone marrow aspirate and biopsy samples; and (3) molecular response (MR) examined by real-time quantitative-PCR (RQ-PCR) [7]. Of these, MR detection by RQ-PCR is the most sensitive method to monitor minimal residual disease (MRD); however, RQ-PCR protocols vary among laboratories, potentially leading to inconsistencies in patient treatment. Therefore, the European Leukemia Network (ELN) and National Comprehensive Cancer Network (NCCN) have recommended monitoring BCR-ABL1 mRNA levels by RQ-PCR using international standards (IS) [8–10]. The International Randomized Study of Interferon versus STI571 (IRIS) proposed that log reduction of BCR-ABL1IS (IS ratio) during therapy, compared with baseline IS ratio at diagnosis (BCR-ABL1IS, 100%), should be evaluated to monitor MRD. Initially, major molecular response (MMR), defined as BCR-ABL1IS ≤ 0.1% (MR: 3.0; 3 log reduction) was considered adequate [11]. Subsequently, deeper molecular responses (DMRs) were determined to be desirable. DMRs are defined as BCR-ABL1IS ≤ 0.01% (MR: 4.0; 4 log reduction), BCR-ABL1IS ≤ 0.0032% (MR: 4.5; 4.5 log reduction), and BCR-ABL1IS ≤ 0.001% (MR: 5.0; 5 log reduction) [12].
Long-term treatment with TKIs can cause considerable adverse effects, including gastrointestinal damage, fluid retention, bone marrow suppression, liver injury, cardiovascular events, and kidney injury [13]. Even more seriously, some patients develop resistance to imatinib [14]. In some cases, imatinib must be discontinued or replaced with a different TKI, such as bosutinib, because of such problems. Consequently, several clinical trials have been conducted to investigate whether TKIs can be ceased after DMR is achieved. Mahon et al. reported that approximately 40% of patients with CML remained in complete molecular response (CMR) for at least 2 years after discontinuation of imatinib [15]. Stop studies of second-generation TKIs (dasatinib and nilotinib) showed that approximately 50% of patients achieved, and remained in, DMR following TKI cessation [16, 17]. As DMR is an emerging goal in CML and necessary for entry into treatment discontinuation studies [15, 18, 19], RQ-PCR assays with inadequate sensitivity could fail to detect low level BCR-ABL1 fusion transcripts, leading to inappropriate or premature treatment cessation attempts. Therefore, well defined guidelines have been developed to ensure adequate sensitivity levels are achieved, down to MR4.0 or MR4.5 [20]. The World Health Organization International Genetic Reference Panel for the quantitation of BCR-ABL1 mRNA (World Health Organization document, World Health Organization/BS/09.2106) has been distributed to manufacturers to generate secondary reference materials [21], and commercial kits are now available from several manufacturers [22].
Recently, we developed a new in-house RQ-PCR method and determined its sensitivity as 0.0033% using synthetic ARQ IS Calibrator Panels; this level of sensitivity is sufficient to detect MRD [23]. In this study, we evaluated the ability of this in-house RQ-PCR method to detect low level BCR-ABL1 fusion transcripts using samples obtained in the ongoing Delightedly Overcome CML Expert Stop TKI (DOMEST) clinical trial to evaluate the rationale for cessation of imatinib [24].
Materials and methods
Study design
This study was performed as a part of the DOMEST clinical trial, which was conducted to elucidate the rationale for imatinib discontinuation in Japan [24]. The enrollment criteria were (1) 15 years of age or older, (2) diagnosed with CML in chronic phase and receiving imatinib therapy, and (3) maintained DMR for longer than 2 years (MR4.0 or MR4.0 equivalent), as determined by transcription-mediated amplification, reverse transcriptase-polymerase chain reaction (RT-PCR), or real-time quantitative polymerase chain reaction (RQ-PCR). Other inclusion criteria were a WHO performance status score of 0–2 and absence of severe dysfunction of primary organs. Previous therapies additional to imatinib were permitted. Patients with additional chromosomal abnormalities and those with a positive RQ-PCR result using the method applied by BML (BML Inc., Tokyo, Japan) at the time of registration were excluded. The study was approved by the ethics committees of Saga University Graduate School of Medicine and Juntendo University Graduate School of Medicine. All participants provided written informed consent for their samples and data from their medical records to be used for research.
In the DOMEST study, RQ-PCR was performed every month for the first year and every 3 months for the second year by the BML method [16, 25]; molecular recurrence was defined as BCR-ABL1 detected by two successive tests, or by loss of MR3.0 in one test by the BML method. Residual total RNA samples were subsequently used for measurement using the in-house RQ-PCR method if samples were available. Although we confirmed that e13a2 (b2a2) and e14a2 (b3a2) can be quantified with the in-house method, sequencing is necessary to differentiate transcripts. Samples were measured with the in-house method at the time of the registration and when recurrence was confirmed by the BML method. The major BCR-ABL1 mRNA assay kit, ODK-1201 (Otsuka Pharmaceutical Co., Japan), which also uses the RQ-PCR technique, was used to test available samples showing discrepant results between the in-house and BML methods for comparison [26]. When the DOMEST study was designed, the in-house method was not approved for clinical use, and ODK-1201 were not yet available. Therefore, these two methods did not contribute to the clinical decision for the DOMEST study.
RNA extraction and cDNA synthesis
Total RNA was extracted from 7 mL peripheral blood in EDTA tubes using a QIAamp RNA Blood Mini Kit (Qiagen, Hilden, Germany). RNA was quantified by Nanodrop spectrophotometry (ND 2000-NanoDrop 3.2.1, Thermo Scientific, Waltham, USA). Transcriptor Universal cDNA Master reverse transcriptase (Roche Diagnostics, Mannheim, Germany) was used for cDNA synthesis, using 1 μg total RNA.
Quantitative real-time PCR
cDNA was amplified by 55 cycles of RT-PCR in a final reaction volume of 20 μL using the LightCycler 2.0 (Roche Diagnostics, Mannheim, Germany) and LightCycler TaqMan Master, in accordance with the manufacturer’s instructions. ABL1 was used as the control gene. The primers and probes used were as follows: BCR-ABL1 forward primer, 5'-TGACCAACTCGTGTGTGAAACTC-3', reverse primer, 5'-CACTCAGACCCTGAGGCTCAA-3', and probe, 5'- CCCTTCAGCGGCCAGTAGCATCTGA-3'; ABL1 forward primer, 5'-CGAAGGGAGGGTGTACCATTA-3', reverse primer, 5'- CAACTCGGCCAGGGTGTT-3', and probe, 5'-CTTCTGATGGCAAGCTCTACGTCTCCTCC-3'. Sequences were obtained from GenBank (Accession Nos. X02596 for BCR and X16416 for ABL1). Probes contained the fluorescent reporter dye, 6-carboxyfluorescein (FAM), at the 5'-end and the fluorescent quencher dye, Black Hole Quencher (BHQ), at the 3'-end. Results are reported as BCR-ABL1/ABL1 ratios (%).
RNA standards for the RQ-PCR assay
An in vitro transcribed RNA from the BCR-ABL1 gene of the K562 cell line was used to determine the lower detection limit of the assay. A region of 188 bp, including the BCR-ABL1 breakpoint, was amplified by PCR using the primers described above. The product was purified using the QIAquick PCR Purification Kit (Qiagen, Hilden, Germany) and then ligated to the pGEM-T vector (Promega, Madison, USA). The recombinant plasmid was transformed to the DH5α Escherichia coli strain (Promega), and the cloned plasmid was extracted using a QIAprep Spin Miniprep Kit (Qiagen). The orientation of the DNA insert was confirmed by sequencing. In vitro transcription was performed using either the RiboMAX Large Scale RNA Production System or the T7 RiboMAX Express Large Scale RNA Production System (Promega), depending on the direction of inserts, as determined by sequencing. Transcribed RNA was purified using the RNeasy Mini Kit (Qiagen), and the amount of RNA was quantified using the Agilent RNA 6000 Nano Assay (Agilent Technology, California, USA).
The RNA copy number (/μl) was calculated using the following equation:
where C is the concentration of RNA (g/μl), assessed using the Agilent 2100 Bioanalyzer; A is Avogadro’s constant (6.0 × 1023 copies/mol); L is the length of synthetic RNA (nucleotides); and 329 is an approximation of the molecular weight of a nucleotide (g/mol).
Determination of a laboratory-specific correlation parameter (CP) and data analyses
The World Health Organization (WHO) established an international genetic reference panel for quantification of BCR-ABL1 fusion transcripts by RQ-PCR, which contains four different ratios (10%, 1%, 0.1%, and 0.01%) using the BCR-ABL1-positive cell line, K562, diluted in the BCR-ABL1-negative cell line, HL60 [21]. Four level Armored RNA Quant (ARQ) (Asuragen, Inc., Austin, TX, USA) secondary reference panels were manufactured based on the WHO primary standards [22]. Laboratory-specific CP equivalent conversion factor values were calculated for use with the ARQ IS Calibrator Panels.
Following the previous calibration method using the ARQ IS Calibrator Panel™ [23], the CP of the in-house RQ-PCR method was redetermined using another ARQ IS Calibrator Panel™ lot containing four calibrators: IS 4.1%, 0.37%, 0.027%, and 0.0033%. S1 Table shows the ARQ IS Calibrator Panel in six independent runs using the in-house RQ-PCR to determine the CP. Fig 1 shows the plot of measured calibrators using the in-house method. The estimated CP value for this study was 18.39. The BCR-ABL1 mRNA ratio of standard material RNAs supplied by the panel was quantified using the local method, and 95% limits of agreement (LOA) were calculated. Values outside of the 95% LOA were omitted, and the CP was calculated by dividing the measured value by the expected value.
Sequencing analysis
BCR-ABL1 PCR products were separated and purified using agarose gel electrophoresis and a QIAquick Gel Extraction Kit (Qiagen). Cycle sequencing was performed using a BigDye Terminator v1.1 Cycle Sequencing Kit (Applied Biosystems, Foster City, USA). Cycle sequencing products were purified using a BigDye Xterminator Purification Kit (Applied Biosystems, Foster City, USA) before being run on an automated ABI 3500 genetic analyzer (Applied Biosystems), and sequences were analyzed using Sequencing Analysis software ver.6.
Statistical analysis
Correlation analyses were performed using the Pearson’s correlation coefficient. BCR-ABL1 undetectable rate represented as survival curve was estimated by the Kaplan-Meier method. These were compared paired groups (BML method and in-house method) by the hazard ratio estimated through the Cox proportional hazards model with the robust sandwich variance estimator. We considered p values < 0.05 to indicate significant differences. Statistical analysis was performed using statistical computing R.
Results
Background of patients
Between January 2014 and May 2015, a total of 110 patients were enrolled for the DOMEST study; 104 of them were evaluated in this study. Among these patients, 102 were confirmed as having DMR (MR4.0) status, defined as “BCR-ABL1 transcript levels below the detection limit of the widely-used BML method.” After MR4.0 (Log4) was confirmed, imatinib was ceased. The other two patients were excluded from this study because BCR-ABL1 transcripts were detected at enrollment, and dasatinib was started.
Comparison of BCR-ABL1 mRNA levels measured by the BML and in-house RQ-PCR methods during follow-up of imatinib discontinuation
In the DOMEST study, total number of measurement by the BML method was 1303. Using the in-house RQ-PCR method, we evaluated available 233 samples of the 1303 samples at the begging of the study and when BCR-ABL1 transcripts were detected by the BML method (i.e., molecular recurrence). Unexpectedly, despite confirmation of DMR using the BML method in all enrolled cases, BCR-ABL1 transcripts were detected by the in-house RQ-PCR method in 5 of 102 patients (5%) at the beginning of the DOMEST study. The IS ratios detected using the in-house method in these five cases are presented in S2 Table. The sequences of the PCR amplicons were confirmed by Sanger sequencing (S1 Fig); however, in the DOMEST study, these five patients remained in MR4.0, as determined by the BML method, throughout the study. Subsequently, BCR-ABL1 fusion transcripts were detected in 15 cases (15%) by the BML method and the in-house method at the same time points, at an average ± standard deviation of 2.47 ± 2.13 months after cessation of imatinib (concordant cases, Table 1). In one case (patient #15), the fusion transcript level was < 0.01% by the BML method. Fig 2A shows the correlation between the BML and the in-house methods. IS % BCR-ABL1/ABL1 measured by these two methods were plotted (except patient #15), and it was fitted with a linear regression method, yielding a slope of 0.75 (p = 0.0022). Concordance rates between the two methods for IS % ratio >0.1, ≤0.1 - >0.01 and ≤0.01 were 75.0% (3/4), 71.4% (5/7) and 50.0% (2/4), respectively. In these recurred cases, TKI therapies were restarted in the DOMEST study (Table 1).
Table 1. Cases with concordant results for detection of BCR-ABL1 fusion transcripts using the BML and in-house methods.
Patient # | Timing of detection | IS % ratio | TKI type after recurrence | |
---|---|---|---|---|
(month) | BML method | In-house method | ||
6 | 9 | 0.01 | 0.0289 | Dasatinib |
7 | 2 | 0.04 | 0.0621 | Imatinib |
8 | 1 | 0.02 | 0.0259 | Dasatinib |
9 | 3 | 0.20 | 0.4548 | Dasatinib |
10 | 1 | 0.02 | 0.0648 | Dasatinib |
11 | 1 | 0.96 | 0.4306 | Dasatinib |
12 | 2 | 0.13 | 0.0700 | Imatinib |
13 | 1 | 0.01 | 0.0121 | Dasatinib |
14 | 3 | 0.01 | 0.0069 | Dasatinib |
15 | 1 | <0.01 | 0.0093 | Imatinib |
16 | 1 | 0.04 | 0.0081 | Dasatinib |
17 | 3 | 0.16 | 0.2517 | Dasatinib |
18 | 2 | 0.05 | 0.0292 | Imatinib |
19 | 2 | 0.02 | 0.0672 | Imatinib |
20 | 5 | 0.03 | 0.1236 | Dasatinib |
IS, International scale.
Timing of detection: time point when BCR-ABL1 fusion transcripts were detected.
By contrast, the results were discordant between the BML and in-house methods in 21 cases (21%) (Table 2). The in-house method detected BCR-ABL1 fusion transcripts at an average (range) of 2.4 (1–13) months earlier than the BML method. TKI therapies were restarted in these cases (Table 2). Of these 21 cases, 19 available samples were also tested using another RQ-PCR assay kit (ODK-1201; Otsuka Pharmaceutical, Japan), and the results were compared with those from the in-house method. As shown in Table 2, the ODK-1201 method detected a low level (IS < 0.01%) of BCR-ABL1 fusion transcripts in 14 samples (74%), while they were detected in all 19 cases using the in-house method. However, the correlation coefficient of the IS% ratios detected by the in-house method and ODK-1201 (except patient #21, 22, 23, 30, 32, 38 and 41) was weak (r = 0.35, p = 0.22, Fig 2B). Concordance rates between the two methods for IS % ratio >0.1, ≤0.1 - >0.01, ≤0.01 - >0.001 and ≤0.001 evaluated by the in-house method were 0.0% (0/0), 31.0% (4/13), 40.0% (2/5) and 0.0% (0/1), respectively.
Table 2. Cases with discordant results for detection of BCR-ABL1 fusion transcripts using the BML and in-house methods.
Patient # | Timing of detection (month) | IS % ratio | TKI type after recurrence | ||
---|---|---|---|---|---|
BML method | In-house method | In-house method | ODK-1201 | ||
21 | 15 | 12 | 0.0201 | ND | Dasatinib |
22 | 18 | 5 | 0.0041 | ND | Dasatinib |
23 | 1 | 0 | 0.0081 | NA | Dasatinib |
24 | 11 | 4 | 0.0184 | 0.0124 | Dasatinib |
25 | 5 | 3 | 0.0584 | 0.0107 | Dasatinib |
26 | 1 | 0 | 0.0326 | 0.0021 | Dasatinib |
27 | 4 | 2 | 0.0269 | 0.0061 | Dasatinib |
28 | 15 | 12 | 0.0141 | 0.0054 | Dasatinib |
29 | 2 | 1 | 0.0115 | 0.0040 | Dasatinib |
30 | 1 | 0 | 0.0127 | NA | Imatinib |
31 | 3 | 2 | 0.0284 | 0.0186 | Dasatinib |
32 | 1 | 0 | 0.0120 | ND | Imatinib |
33 | 5 | 4 | 0.0353 | 0.0214 | Dasatinib |
34 | 4 | 3 | 0.0481 | 0.0039 | Dasatinib |
35 | 2 | 0 | 0.0069 | 0.0024 | Imatinib |
36 | 1 | 0 | 0.0194 | 0.0054 | Dasatinib |
37 | 6 | 3 | 0.0010 | 0.0049 | Dasatinib |
38 | 3 | 0 | 0.0082 | ND | Dasatinib |
39 | 1 | 0 | 0.0175 | 0.0058 | Imatinib |
40 | 1 | 0 | 0.0084 | 0.0045 | Dasatinib |
41 | 3 | 1 | 0.0019 | ND | Dasatinib |
IS, International scale; ND, not detected; NA, not applicable.
Timing of detection: time point when BCR-ABL1 fusion transcripts were detected.
BCR-ABL1 fusion transcripts were detected by the in-house method in all samples positive by the BML method. In the remaining 61 cases, BCR-ABL1 fusion transcripts were not detected using either the in-house or BML methods throughout the study.
Comparison of distribution of IS % ratio and timing of detection of BCR-ABL1 between the BML and in-house methods
Table 3 summarizes the comparison of distribution of the BCR-ABL1/ABL1 ratio according the IS at the time of the detection of BCR-ABL1 between the BML method and in-house methods. The number of patients confirmed loss of MMR was 4 by the in-house method. Fig 3 shows BCR-ABL1 undetectable rate comparing with the BML method and in-house methods. The in-house method detected significantly lower levels of BCR-ABL1 fusion transcripts in comparison to the BML method (HR: 1.07, 95% CI: 1.03–1.11, p<0.001).
Table 3. Comparison of distribution of IS % BCR-ABL1/ABL1 between the BML and in-house methods.
IS % ratio | BML method (n = 102) | In-house method (n = 102) |
---|---|---|
>0.1 | 8 | 4 |
≤0.1->0.01 | 22 | 22 |
≤0.01-Detection limit | 6 | 15 |
Undectable BCR-ABL1 | 66 | 61 |
IS, International scale.
Restart of TKI treatment after molecular recurrence
In the current study, 36 patients with confirmed molecular recurrence were included. However, one patient was excluded because of missing data according to the report of the DOMEST study. Therefore, the authors analyzed 35 patients with confirmed molecular recurrence after cessation of imatinib treatment. Of the 35 patients, 26 patients were retreated with dasatinib and 9 patients were retreated with imatinib on their wish. Moreover, 21 (80.8%) and 25 (96.2%) of the 26 patients treated with dasatinib regained DMR at 6 and 12 months after restarting, respectively. In the DOMEST study, only patients treated with dasatinib were analyzed as a purpose of the secondary endpoint [24].
Discussion
Detection of low levels of BCR-ABL1 fusion transcripts to monitor MRD must be performed quickly, efficiently, and at a reasonable cost [27]. Currently, several commercial kits using IS are available [22, 28]; however, some of these kits are designed to test large-scale samples in commercial laboratories, and some kits need specific reagents and analyzers whose costs are significantly expensive [29]. Therefore, we developed an in-house RQ-PCR method that is sufficiently accurate and more flexible compared to those currently in use [23]. Our in-house method can be performed using any RQ-PCR reagents and analyzers as long as calibration can be made. In the present study, we evaluated the relevance and accuracy of this in-house RQ-PCR method using samples obtained for the DOMEST trial. Our data demonstrate that the in-house method is sufficiently sensitive to detect MRD and recurrence, relative to the widely-used BML method and the recently developed ODK-1201 commercial kit.
In the DOMEST trial, clinical decisions were made based on the monitoring of BCR-ABL1 fusion transcripts measured using the BML method (detection limit: IS 0.01%) (BML Inc.) [25]. The BCR-ABL1 mRNA quantification results obtained using the in-house RQ-PCR agreed with those generated using the BML method in 15 cases (Table 2). By contrast, the in-house method detected MRD earlier than the BML method in 21.0% of cases (Table 3). Although both the in-house and ODK-1201 methods can identify at least a 4.5 log reduction in the IS ratio [26], the IS ratios measured in this study were somewhat discordant between the two methods. In five samples, the IS ratios were below the initially claimed detection limit (IS ratio < 0.0007%) of the ODK-1201 method, whereas using the in-house method they had a mean IS ratio of 0.0094 ± 0.00754%. In 13 cases, the IS ratios determined using the ODK-1201 method were lower than those using the in-house method. This discordance might be due to RNA degradation since measurements could not all be performed at exactly the same time. Alternatively, it could be due to the relatively large variability in the detection of very low copy number transcripts, which is unavoidable using current technology. In the initial validation study of ODK-1201, the IS% BCR-ABL1/ABL1 calibration was performed using WHO standard product [NIBSC 09/138, the National Institute for Biological Standards and Control (NIBSC), UK] that is different from the one used in this study. Although the detection limit of ODK-1201 was claimed to be 00007%, the IS% BCR-ABL1/ABL1 obtained from the 154 samples from CML patients fell into between 0.0014% and 144.6867%. The IS% below the detection limit obtained from CML patients (70 samples), 21 non-CML patients and 25 healthy subjects were represented as 0.0001% [26]. This may be problematic since one cannot tell the absolute IS% values if those are below the detection limit. Also, the status of the CML patients with the negative results is unclear. In fact, the same group later reevaluated the ODK-1201, and the detection level was re-claimed to be IS% 0.0032 [30], which indicates that RT-qPCR measurement of very small number of RNA molecules may not be very accurate. Indeed, we compared the in-house method and ODK-1201 using the samples whose BCR-ABL1 transcripts were supposed to be very low, and we could compare only 19 samples due to sample availability. Taking these facts together, the discordance between these two methods may not be surprised when such small amount of RNA molecule(s) are measured.
In recent clinical trials to evaluate the rationale for TKI cessation, the sensitivity of assays used for detection of BCR-ABL1 fusion transcripts has been claimed as 5 logs [12, 31]; however, there are reasons to be skeptical about the accuracy of measurements of such extremely low amounts of mRNA. Even a subtle pipetting error can easily lead to an enormous difference. In addition, despite using the IS, calculation and/or methods of determining conversion factors can significantly affect the results. According to the UKNEQAS (external quality assessment), the variability of results among participant laboratories was considerable, even after the introduction of an IS [32]. Therefore, the methodology used for the measurement of BCR-ABL1 fusion transcripts requires further improvement.
This study has certain limitations. The clinical relevance of our new in-house RQ-PCR is uncertain since it has not been assessed in large-scale randomized clinical trials. Moreover, very long-term outcomes of imatinib therapy in CML have yet to be elucidated [33]. Current recommendations for the definition of MRs may be changed after accumulation of further data. Although we performed all experimental procedures with great care, the introduction of some errors caused by human factors cannot be completely excluded, as noted in a recent commentary [29].
In conclusion, our newly developed in-house RQ-PCR method with IS calibration was accurate and effective for detecting MRD in the context of an imatinib cessation study. The main advantages of this assay lie in the promptness with which results are obtained and its ease of use. Thus, this method could be advantageous for implementation in hospital laboratories, where small numbers of samples are tested.
Supporting information
Acknowledgments
The authors would like to thank all the patients and physicians who participated in this study. We thank Yumi Miyashita (ECRIN, Japan) for monitoring the clinical trial, and Makoto Nagano (BML) and Hiromi Yamada for technical support.
Data Availability
All data necessary to replicate the reported study findings are within the paper and its Supporting Information files. Additional raw data are available upon request to Dr. Shigeki Aoki, the Chair of Ethical Committee Juntendo University (http://www.juntendo.ac.jp/english/research.html) at saoki@juntendo.ac.jp.
Funding Statement
The department of Next Generation Hematology Laboratory Medicine, Juntendo University School of Medicine has been endowed by Sysmex (Kobe, Japan). Y.T. has received a research endowment including partial salary support (Y.T.) from Sysmex. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1.Kimura S, Ando T, Kojima K. Ever-advancing chronic myeloid leukemia treatment. Int J Clin Oncol. 2014;19(1):3–9. Epub 2013/11/22. 10.1007/s10147-013-0641-7 . [DOI] [PubMed] [Google Scholar]
- 2.O'Brien SG, Guilhot F, Larson RA, Gathmann I, Baccarani M, Cervantes F, et al. Imatinib compared with interferon and low-dose cytarabine for newly diagnosed chronic-phase chronic myeloid leukemia. N Engl J Med. 2003;348(11):994–1004. Epub 2003/03/15. 10.1056/NEJMoa022457 . [DOI] [PubMed] [Google Scholar]
- 3.Saglio G, Kim DW, Issaragrisil S, le Coutre P, Etienne G, Lobo C, et al. Nilotinib versus imatinib for newly diagnosed chronic myeloid leukemia. N Engl J Med. 2010;362(24):2251–9. Epub 2010/06/08. 10.1056/NEJMoa0912614 . [DOI] [PubMed] [Google Scholar]
- 4.Kantarjian H, Shah NP, Hochhaus A, Cortes J, Shah S, Ayala M, et al. Dasatinib versus imatinib in newly diagnosed chronic-phase chronic myeloid leukemia. N Engl J Med. 2010;362(24):2260–70. Epub 2010/06/08. 10.1056/NEJMoa1002315 . [DOI] [PubMed] [Google Scholar]
- 5.Cortes JE, Kim DW, Kantarjian HM, Brummendorf TH, Dyagil I, Griskevicius L, et al. Bosutinib versus imatinib in newly diagnosed chronic-phase chronic myeloid leukemia: results from the BELA trial. J Clin Oncol. 2012;30(28):3486–92. Epub 2012/09/06. 10.1200/JCO.2011.38.7522 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Hochhaus A, Saussele S, Rosti G, Mahon FX, Janssen J, Hjorth-Hansen H, et al. Chronic myeloid leukaemia: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol. 2017;28(suppl_4):iv41–iv51. Epub 2017/09/09. 10.1093/annonc/mdx219 . [DOI] [PubMed] [Google Scholar]
- 7.Cortes J, Rousselot P, Kim DW, Ritchie E, Hamerschlak N, Coutre S, et al. Dasatinib induces complete hematologic and cytogenetic responses in patients with imatinib-resistant or -intolerant chronic myeloid leukemia in blast crisis. Blood. 2007;109(8):3207–13. Epub 2006/12/23. 10.1182/blood-2006-09-046888 . [DOI] [PubMed] [Google Scholar]
- 8.Baccarani M, Deininger MW, Rosti G, Hochhaus A, Soverini S, Apperley JF, et al. European LeukemiaNet recommendations for the management of chronic myeloid leukemia: 2013. Blood. 2013;122(6):872–84. Epub 2013/06/28. 10.1182/blood-2013-05-501569 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Network NCC. National Comprehensive Cancer Network—Chronic Myloid Leukemia (Version 3.2018). Available from: www.nccn.org. [Google Scholar]
- 10.Baccarani M, Cortes J, Pane F, Niederwieser D, Saglio G, Apperley J, et al. Chronic myeloid leukemia: an update of concepts and management recommendations of European LeukemiaNet. J Clin Oncol. 2009;27(35):6041–51. Epub 2009/11/04. 10.1200/JCO.2009.25.0779 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Hughes TP, Kaeda J, Branford S, Rudzki Z, Hochhaus A, Hensley ML, et al. Frequency of major molecular responses to imatinib or interferon alfa plus cytarabine in newly diagnosed chronic myeloid leukemia. N Engl J Med. 2003;349(15):1423–32. Epub 2003/10/10. 10.1056/NEJMoa030513 . [DOI] [PubMed] [Google Scholar]
- 12.Cross NC, White HE, Muller MC, Saglio G, Hochhaus A. Standardized definitions of molecular response in chronic myeloid leukemia. Leukemia. 2012;26(10):2172–5. Epub 2012/04/17. 10.1038/leu.2012.104 . [DOI] [PubMed] [Google Scholar]
- 13.Bauer S, Buchanan S, Ryan I. Tyrosine Kinase Inhibitors for the Treatment of Chronic-Phase Chronic Myeloid Leukemia: Long-Term Patient Care and Management. J Adv Pract Oncol. 2016;7(1):42–54. Epub 2016/10/08. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Rossari F, Minutolo F, Orciuolo E. Past, present, and future of Bcr-Abl inhibitors: from chemical development to clinical efficacy. J Hematol Oncol. 2018;11(1):84 Epub 2018/06/22. 10.1186/s13045-018-0624-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Mahon FX, Rea D, Guilhot J, Guilhot F, Huguet F, Nicolini F, et al. Discontinuation of imatinib in patients with chronic myeloid leukaemia who have maintained complete molecular remission for at least 2 years: the prospective, multicentre Stop Imatinib (STIM) trial. Lancet Oncol. 2010;11(11):1029–35. Epub 2010/10/23. 10.1016/S1470-2045(10)70233-3 . [DOI] [PubMed] [Google Scholar]
- 16.Imagawa J, Tanaka H, Okada M, Nakamae H, Hino M, Murai K, et al. Discontinuation of dasatinib in patients with chronic myeloid leukaemia who have maintained deep molecular response for longer than 1 year (DADI trial): a multicentre phase 2 trial. Lancet Haematol. 2015;2(12):e528–35. Epub 2015/12/22. 10.1016/S2352-3026(15)00196-9 . [DOI] [PubMed] [Google Scholar]
- 17.Rea D, Nicolini FE, Tulliez M, Guilhot F, Guilhot J, Guerci-Bresler A, et al. Discontinuation of dasatinib or nilotinib in chronic myeloid leukemia: interim analysis of the STOP 2G-TKI study. Blood. 2017;129(7):846–54. Epub 2016/12/10. 10.1182/blood-2016-09-742205 . [DOI] [PubMed] [Google Scholar]
- 18.Ross DM, Hughes TP. How I determine if and when to recommend stopping tyrosine kinase inhibitor treatment for chronic myeloid leukaemia. Br J Haematol. 2014;166(1):3–11. Epub 2014/04/24. 10.1111/bjh.12892 . [DOI] [PubMed] [Google Scholar]
- 19.Takahashi N, Tauchi T, Kitamura K, Miyamura K, Saburi Y, Hatta Y, et al. Deeper molecular response is a predictive factor for treatment-free remission after imatinib discontinuation in patients with chronic phase chronic myeloid leukemia: the JALSG-STIM213 study. Int J Hematol. 2017. Epub 2017/09/21. 10.1007/s12185-017-2334-x . [DOI] [PubMed] [Google Scholar]
- 20.Cross NC, White HE, Colomer D, Ehrencrona H, Foroni L, Gottardi E, et al. Laboratory recommendations for scoring deep molecular responses following treatment for chronic myeloid leukemia. Leukemia. 2015;29(5):999–1003. Epub 2015/02/06. 10.1038/leu.2015.29 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.White HE, Matejtschuk P, Rigsby P, Gabert J, Lin F, Lynn Wang Y, et al. Establishment of the first World Health Organization International Genetic Reference Panel for quantitation of BCR-ABL mRNA. Blood. 2010;116(22):e111–7. Epub 2010/08/20. 10.1182/blood-2010-06-291641 . [DOI] [PubMed] [Google Scholar]
- 22.White HE, Hedges J, Bendit I, Branford S, Colomer D, Hochhaus A, et al. Establishment and validation of analytical reference panels for the standardization of quantitative BCR-ABL1 measurements on the international scale. Clin Chem. 2013;59(6):938–48. Epub 2013/03/09. 10.1373/clinchem.2012.196477 . [DOI] [PubMed] [Google Scholar]
- 23.Yamada H, Tabe Y, Watanabe K, Morishita S, Yuri M, Yokoo M, et al. Harmonization of quantitative BCR-ABL measurements using the secondary reference material anchored to the WHO primary standards. Int J Lab Hematol. 2015;37(2):e29–33. Epub 2014/07/22. 10.1111/ijlh.12274 . [DOI] [PubMed] [Google Scholar]
- 24.Fujisawa S, Ueda Y, Usuki K, Kobayashi H, Kondo E, Doki N, et al. Feasibility of the imatinib stop study in the Japanese clinical setting: delightedly overcome CML expert stop TKI trial (DOMEST Trial). Int J Clin Oncol. 2018. Epub 2018/11/12. 10.1007/s10147-018-1368-2 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Yoshida C, Fletcher L, Ohashi K, Wakita H, Kumagai T, Shiseki M, et al. Harmonization of molecular monitoring of chronic myeloid leukemia therapy in Japan. Int J Clin Oncol. 2012;17(6):584–9. Epub 2011/10/12. 10.1007/s10147-011-0328-x . [DOI] [PubMed] [Google Scholar]
- 26.Nakamae H, Yoshida C, Miyata Y, Hidaka M, Uike N, Koga D, et al. A new diagnostic kit, ODK-1201, for the quantitation of low major BCR-ABL mRNA level in chronic myeloid leukemia: correlation of quantitation with major BCR-ABL mRNA kits. Int J Hematol. 2015;102(3):304–11. Epub 2015/07/04. 10.1007/s12185-015-1826-9 . [DOI] [PubMed] [Google Scholar]
- 27.Arber DA, Borowitz MJ, Cessna M, Etzell J, Foucar K, Hasserjian RP, et al. Initial Diagnostic Workup of Acute Leukemia: Guideline From the College of American Pathologists and the American Society of Hematology. Arch Pathol Lab Med. 2017;141(10):1342–93. Epub 2017/02/23. 10.5858/arpa.2016-0504-CP . [DOI] [PubMed] [Google Scholar]
- 28.Maute C, Nibourel O, Rea D, Coiteux V, Grardel N, Preudhomme C, et al. Calibration of BCR-ABL1 mRNA quantification methods using genetic reference materials is a valid strategy to report results on the international scale. Clin Biochem. 2014;47(13–14):1333–6. Epub 2014/06/11. 10.1016/j.clinbiochem.2014.05.067 . [DOI] [PubMed] [Google Scholar]
- 29.Arora R, Press RD. Measurement of BCR-ABL1 transcripts on the International Scale in the United States: current status and best practices. Leuk Lymphoma. 2017;58(1):8–16. Epub 2016/07/15. 10.1080/10428194.2016.1190974 . [DOI] [PubMed] [Google Scholar]
- 30.Yoshida C, Nakamae H, Fletcher L, Koga D, Sogabe T, Matsumura I, et al. Validation of a rapid one-step high sensitivity real-time quantitative PCR system for detecting major BCR-ABL1 mRNA on an International Scale. Springerplus. 2016;5:569 Epub 2016/05/10. 10.1186/s40064-016-2258-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Laneuville P. When to Stop Tyrosine Kinase Inhibitors for the Treatment of Chronic Myeloid Leukemia. Curr Treat Options Oncol. 2018;19(3):15 Epub 2018/03/10. 10.1007/s11864-018-0532-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Scott S, Travis D, Whitby L, Bainbridge J, Cross NCP, Barnett D. Measurement of BCR-ABL1 by RT-qPCR in chronic myeloid leukaemia: findings from an International EQA Programme. Br J Haematol. 2017;177(3):414–22. Epub 2017/03/16. 10.1111/bjh.14557 . [DOI] [PubMed] [Google Scholar]
- 33.Nicolini FE, Alcazer V, Cony-Makhoul P, Heiblig M, Morisset S, Fossard G, et al. Long-term follow-up of de novo chronic phase chronic myelogenous leukemia patients on front-line imatinib. Exp Hematol. 2018. Epub 2018/05/26. 10.1016/j.exphem.2018.05.003 . [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All data necessary to replicate the reported study findings are within the paper and its Supporting Information files. Additional raw data are available upon request to Dr. Shigeki Aoki, the Chair of Ethical Committee Juntendo University (http://www.juntendo.ac.jp/english/research.html) at saoki@juntendo.ac.jp.