Skip to main content
Download PDF

Response to Imatinib therapy is inferior for e13a2 BCR-ABL1 transcript type in comparison to e14a2 transcript type in chronic myeloid leukaemia

BMC Hematology volume 19, Article number: 7 (2019) Cite this article

Abstract

Background

The BCR-ABL1 fusion gene underlying the pathogenesis of CML can arise from a variety of breakpoints. The e13a2 and e14a2 transcripts formed by breakpoints occurring around exon 13 and exon 14 of the BCR gene respectively are the most common.

Methods

We undertook a retrospective audit using local laboratory database and electronic patient care records of 69 CML patients with an e13a2 or e14a2 transcript type identified in our regional population.

Results

The e13a2 group was on average significantly younger (45.0 years v 54.5 years), had a higher average white cell count (189.8 × 109/l v 92.40 × 109/l) and lower platelet count (308 × 109/l v 644 × 109/l) in comparison to the e14a2 group suggesting that these are distinct biological entities. Over an average follow-up of 33.8 months and 27.2 months for the e13a2 and e14a2 groups we observed an inferior molecular response to imatinib in the e13a2 group. A significantly lower number of patients in the e13a2 arm met European Leukemia Net criteria for optimal response at 12 months therapy (17.64% v 50.0%) and were slower to obtain deep molecular responses MR4 or MR4.5.

Conclusion

Patients with an e13a2 transcript demonstrate an inferior molecular response to imatinib in our regional population.

Peer Review reports

Background

Chronic myeloid leukaemia (CML) is characterised in virtually all cases by the presence of a translocation between chromosomes 9 and 22 resulting in the formation of the Philadelphia chromosome and a BCR-ABL1 fusion protein [1,2,3,4]. This fusion results in the formation of a constitutively active tyrosine kinase driving proliferation of the myeloid lineage producing the disease phenotype [5]. Diagnosis of CML is based on characteristic blood findings co-existent with the presence of the Philadelphia chromosome or detection of BCR-ABL1 fusion gene by polymerase chain reaction (PCR) or fluorescent in situ hybridisation (FISH) [6].

Within the last 20 years, the development of specific tyrosine kinase inhibitors (TKIs) targeting the BCR-ABL1 fusion protein has revolutionised treatment of the disease producing deep and sustained haematological and molecular responses [7, 8]. Imatinib is the first generation of these TKIs and is the most frequently used TKI as first line therapy in our setting. Treatment free remissions following a sustained period of imatinib therapy are now regularly reported [9]. However, other patients respond less well to imatinib therapy. In some cases, there is a failure to obtain an adequate molecular response, progression of disease to accelerated or blast phase or loss of previously obtained molecular responses. This can represent clonal evolution with acquisition of a mutation in the genomic sequence encoding the BCR-ABL1 transcript in some instances [10].

It is well recognised that there is variation in the breakpoints that can occur to allow formation of BCR-ABL1 fusion transcript [11]. In the vast majority of cases this results in the formation of 210 kDa tyrosine kinase (p210) with a smaller number producing a 190 kDa or 230 kDa product. The p210 BCR-ABL1 may be encoded by a number of different transcripts. The most common of these are e13a2 (also notated b2a2) and e14a2 (also notated b3a2) accounting for greater than 95% of the CML population [11]. The e13a2 is formed from a breakpoint at the 5′ aspect of the BCR gene around exon 13 fused to exon 2 of the ABL1 gene. The e14a2 results from a breakpoint in the 3′ aspect of the BCR gene around exon 14 again fused to exon 2 of the ABL gene. This results in a difference of 75 base pairs in the hybrid mRNA between the two sequences and therefore a difference of 25 amino acids in the resulting BCR-ABL1 fusion protein [12]. Alternative splicing mechanisms mean that in patients with the e14a2 transcript, either the e13a2 or e14a2 may be expressed from the one clone [13].

The relevant prognostic value of the underlying transcript type was evaluated in the pre TKI era but without conclusive evidence of significant difference established [12]. One study suggested that the duration of chronic phase and length of time to progression to blast disease was much shorter in the e14a2 group in comparison to the e13a2 group [14]. Other studies failed to substantiate this finding [15]. In the TKI era a number of studies have evaluated the prognostic value of underlying transcript type. A recent meta-analysis was suggestive of an inferior response in the e13a2 group [16]. There are also recent reports of a difference in the maintenance of treatment free remission dependent on transcript type [17].

On the basis of these findings, we set out to establish if the underlying transcript type was relevant for prognosis in our regional population for patients treated with imatinib first line with a focus on achievement of a deep molecular response.

Methods

Our laboratory database of all positive diagnostic BCR-ABL1 transcripts within the Northern Ireland region from 14/11/2011 was reviewed. Patients were excluded from further analysis if the diagnosis was not chronic myeloid leukaemia, if less than three months had passed since diagnosis or if the transcript type was not known. A retrospective audit of therapy and clinical outcomes was then undertaken for seventy-four patients (n = 74). Regional electronic patient records and local laboratory database were used to obtain data. Exclusions from further analysis were as follows; One patient with an atypical transcript type, three patients as were not initially commenced on imatinib therapy and one patient who presented in blast phase of disease as per WHO criteria. This left sixty-nine patients for analysis (n = 69).

Real-time quantitative PCR (RQ-PCR) was performed using RNA extracted from Peripheral blood for monitoring BCR-ABL1 transcript levels reported on the International Scale (IS) [18]. The IS conversion factor was derived from a sample exchange scheme performed by Professor Nick Cross (Wessex Regional Genetics Laboratory). RT-PCR was performed to determine transcript type as previously described [19].

Statistical analysis was performed using Microsoft Excel Software. Unpaired, two tailed t test was used to determine significance of quantitative data whilst Chi-square test of fit was used for assessment of qualitative results. A multivariate regression analysis was performed using all variables available for assessment. Binary variables (transcript type, gender and meeting optimal criteria) were coded as 0 and 1 for this analysis. P values less than 0.05 were considered statistically significant. Kaplan-Meier analysis was undertaken to determine overall survival, event free survival and probability of maintaining MMR. A log rank test was used to generate p values for Kaplan-Meier curves.

Results

Baseline demographics

A total of sixty-nine patients were identified as suitable for inclusion in this retrospective analysis. The baseline demographics are presented in Table 1 with the e14a2 transcript more common. The e13a2 group was significantly younger on average than the e14a2 group. There was also a significantly higher white cell count (WCC) and lower platelet count in the e13a2 group. Dual expressers have been reported previously, we did not identify any in this cohort.

Table 1 A table showing the baseline demographics and initial treatment for each group
Full size table

Effect of transcript type on molecular response

We evaluated the molecular response at 3 months (n = 56 pts), 6 months (n = 51pts) and 12 months (n = 47 pts). BCR-ABL1 transcript levels within 1 calendar month either side of time points were deemed acceptable for inclusion. These levels were then compared against the European Leukaemia Net (ELN) criteria for optimal response at each time point [20].

Figure 1a demonstrates the average BCR-ABL1 transcript levels detected at each time point in year 1 for each group. As is evident there is no significant difference between the two groups at any time point. At 3 months, average BCR-ABL1 levels were 18.93% in the e13a2 group and 18.08% in the e14a2 group. At 6 months this was 7.23 and 6.44% respectively and at 12 months 2.71 and 5.31% respectively. When the groups were compared against the ELN criteria, at 3 months and 6 months there was a higher percentage of patients in the e14a2 group meeting optimal response criteria. By 12 months this had reached statistical significance with fewer patients in the e13a2 group (17.64%) meeting ELN criteria for optimal response in comparison to the e14a2 group (50.0%). This is demonstrated in Fig. 1b. This was despite the non-significant difference observed in the quantitative assessment of BCR-ABL1 transcript levels. When patients who had undergone a change of TKI therapy to second line therapy prior to 12 months were excluded from the analysis this statistical significance remained with 21.2% of e13a2 patients meeting criteria compared with 59.1% of e14a2 patients. Again there was no significant difference observed in the quantitative BCR-ABL1 transcript level when changers prior to 12 months were excluded (e13a2: 1.75%, e14a2: 1.64%).

Fig. 1
figure1

a) The trend of quantitative BCR-ABL1 transcript levels by PCR over initial 12 months of therapy by transcript type. b) The number of patients meeting optimal ELN criteria by transcript type at each timepoint in year 1. EXC CHANGER = excludes patients changing TKI therapy prior to 12 months * = p value < 0.05

Full size image

Obtaining a major molecular response (MMR) is a primary objective in the therapy of CML within 12 months. This is defined as a BCR-ABL1 transcript level less than 0.1% on the International Scale by ELN [20]. The number of patients obtaining a MMR at any stage during follow-up was assessed for both groups. The number of patients obtaining MMR was greater in the e14a2 arm for all patients (e13a2:60.0%, e14a2:63.2%), when patients undergoing change of therapy prior to obtaining MMR were excluded (e13a2: 30.0%, e14a2:48.9%), and in patients with greater than 12 months of follow-up available (e13a2: 66.6%, e14a2:71.7%). However, none of these differences reached statistical significance. This is demonstrated in Fig. 2a. When the time to obtain MMR was evaluated there was a trend towards earlier achievement of MMR in the e14a2 group for all patients and excluding changers which again did not reach significance (e13a2: 16.75 months and 11.5 months, e14a2: 11.80 months and 9.58 months). We then examined deeper molecular responses. Achievement of MR4 (BCR-ABL1 < 0.01%) is crucial for the purposes of attempting treatment free strategies. We evaluated the number of patients obtaining levels less than 0.01% and found no significant difference (e13a2: 40.0%, e14a2: 51.0%) between the two groups. However, there was a significant improvement in time to achieve this seen in the e14a2 group (e13a2: 24.5 months, e14a2: 15.6 months). The results were similar for achieving MR4.5 with BCR-ABL1 < 0.0032% however, the difference between the two groups was marginally outside the level of significance for time to achievement (p = 0.05). This is shown in Fig. 2b. Figure 2c shows the cumulative incidence of obtaining MMR and MR4.5 by transcript type using 1-KM methodology. This demonstrates a superior response for e14a2 transcripts which was significant (p < 0.05) by Wilcoxon-Gehan methodology and borderline for significance by log rank test (MMR p = 0.10 and MR4.5 p = 0.07).

Fig. 2
figure2

a) A chart showing the number of patients obtaining a MMR (BCR-ABL1 < 0.1%) by transcript type for all patients, excluding patients with change of TKI therapy prior to milestone and for patients with greater than 12 months follow-up. b) Time to achievement of MMR (BCR-ABL1 < 0.1%), MR4 (BCR-ABL1 < 0.01%) and MR4.5 (BCR-ABL1 < 0.0032%) by transcript group. * = p < 0.05. c) The cumulative incidence of obtaining MMR and MR4.5 are demonstrated using a 1-KM method. d) Probability of maintaining MMR once achieved over time of follow-up by transcript type, calculated using Kaplan Meier methodology. p = 0.08 using log rank test

Full size image

Loss of MMR is suggestive of treatment failure or disease progression but could represent poor compliance with treatment. We defined loss of MMR as a sustained increase above 0.1% transcript level or a significant increase above 1%. There was no significant difference evident between the two groups on comparison of the percentage of patients losing MMR having previously achieved it at any stage. (e13a2: 25.0%, e14a2: 22.5%). Fig. 2d demonstrates there was no difference in the probability of maintaining MMR for each transcript. (p = 0.08). In 70% of cases of loss of MMR this was a transient phenomenon.

A multivariate regression analysis was then undertaken to establish if other variables were significant in obtaining an optimal ELN criteria response of less than 0.1% at 12 months. Independent variables included in this analysis were transcript type, age, gender, EUTOS score at diagnosis, BCR-ABL1 level at baseline, baseline haemoglobin, baseline white cell count and baseline platelet count. Patients without a 12 month BCR-ABL1 result were excluded. As not all variables were available for every patient, four multivariate analyses were then run to include patients with all variables (n = 29), patients with all variables excluding EUTOS score (n = 39), patients with all variables excluding BCR-ABL1 level (n = 35) and patients with all variables excluding EUTOS and BCR-ABL1 levels. The significance of transcript type in determining optimal response at 12 months was lost in each of these analyses. No other variables were consistently significant across the four analyses.

The effect of transcript type on therapy

The local laboratory system does not routinely release the transcript type. Therefore, treating physicians across the region are effectively blinded to this information when making decisions to change therapy. We first assessed the number of patients in each group receiving a change of TKI therapy for all reasons (treatment failure, intolerance or unacceptable toxicity and patient choice). There was no significant difference between the number of patients in either group moving to second line therapy (e13a2: 45%, e14a2: 40.8%) or significant difference between the average time to switch (e13a2: 11 months, e14a2: 8.85 months). When we examined those switching on account of treatment failure only, the results were similar for numbers (e13a2 40%, e14a2: 24.4%) or for time to switch (e13a2: 10.5 months, e14a2: 10.75 months). Fig. 3 demonstrates this.

Fig. 3
figure3

A bar chart showing the number of patients changing TKI by transcript type for all reasons and as a result of treatment failure. Superimposed on this is a line chart showing time to change for each transcript type for all reasons and for treatment failure

Full size image

Clinical outcomes by transcript type

Finally, we examined the clinical outcomes by transcript type. Figure 4 shows the overall survival (OS) and event free survival of both groups (EFS) showing no significant difference between the two groups. During our follow-up we observed two transformations to blast crisis both within the e14a2 group. We also excluded one patient from analysis at the outset presenting with blast crisis by WHO criteria who was also an e14a2 transcript. Four deaths during follow-up were observed. Causes of death were documented as acute liver failure from imatinib therapy at 1 month follow-up, infective complications at 22 months, congestive cardiac failure at 26 months and intracranial haemorrhage secondary to blast crisis at 25 months. Allogeneic haematopoietic stem cell transplantation (HSCT) was undertaken in three patients, two post blast crisis and one for progressive disease not responding adequately to TKI therapy. All patients undergoing HSCT had e14a2 transcripts. Only 1 case of a mutation in the BCR-ABL1 kinase domain was detected in our population. This patient went on to blast crisis.

Fig. 4
figure4

Graphs showing Kaplan-Meier analysis of overall and event free survival by transcript type. Event free survival defined as survival in the absence of death, blast crisis, failure of therapy requiring change or loss of MMR. Intolerance of therapy was not included

Full size image

Only two patients had stopped TKI therapy at the cessation of follow-up. Neither of these were as a result of elective stopping on account of meeting treatment cessation guidelines. Therefore, we are unable to comment on the impact of transcript type on maintenance of treatment free remission.

Discussion

The role of front line imatinib therapy has been well established in the treatment of CML, Now patients with CML can expect an overall survival which is approaching that of the general population [21]. Therefore the goal of therapy in CML is shifting at the outset. Particularly in the younger patient, the aim is to achieve a early and sustained deep molecular response. This opens the possibility of treatment free remission. European Society of Medical Oncology (ESMO) guidelines have defined criteria allowing physicians and patients to consider treatment withdrawal if response to initial therapy is deemed adequate. These guidelines are strict, requiring sustained therapy for a minimum of 5 years, having achieving MR4.5 (BCR-ABL1IS < 0.0032%), sustained MR4 (BCR-ABL1IS < 0.01%) for over 2 years and optimal response on first line therapy in patients with a low SOKAL score at diagnosis and typical e13a2 or e14a2 transcript type [6]. Although the withdrawal of treatment is not going to be the favoured option for all patients, the range of second generation and beyond TKIs mean that as physicians the decisions regarding initial therapy will impact on patients options further down the line if there are slight differences in efficacy in particular circumstances. Therefore, obtaining an optimal response with first line therapy is of critical importance to patients wishing to regain the normality of treatment free life.

The e14a2 transcript type was more common in our population. The majority of other studies also report this although there may be some differences across varying ethnicities [16]. Our laboratory did not detect any co-expressers. The prevalence of these co-expressers has been between 0 and 20% in other cohorts therefore this may just be on the basis of the limited patient numbers in our study [16]. Our findings of a differential in WCC and platelet count point to a biological difference between these two groups. There is a bias towards thrombopoiesis in cells containing e14a2 and a bias towards leucopoiesis in those with e13a2. The difference in platelet count has been regularly reported previously in the majority or trials with the difference in white cell count also reported but less frequently [16, 22, 23]. There is a 75 base pair difference between the two transcripts resulting from the differing breakpoints. This results in a difference of 25 amino acid residues in the resulting fusion tyrosine kinase. Whether this difference in proliferative capacity is a direct result of the action of this tyrosine kinase mediating differences in downstream signal transduction pathways has not been demonstrated, however the secondary structure is predicted to differ between the two proteins [24]. It is conceivable that this structural difference may impact on TKI effectiveness.

Molecular responses evaluated by RT-PCR form a critical component of follow-up for CML, and directions on the continuation or alteration of specific therapies are based upon these. At low levels of disease burden, FISH and cytogenetics are insufficiently sensitive to detect CML clonal cells. We have not examined whether amplification of either allele is identical by RT-PCR in our individual setting. However, given that clinical decision making is based upon the IS BCR-ABL1 levels derived from these RT-PCR levels this does not impact on the validity of the study. When molecular responses were examined, we identified a trend towards improved responses in the e14a2 group reaching statistical significance for the number of patients meeting optimal response by ELN criteria at 12 months and time to achieve a deep molecular response MR4. There was also a trend towards improved responses for achieving optimal response at 3 and 6 months, achieving MMR and MR4.5 at an earlier stage and a lower number of patients requiring therapy change due to treatment failure in the e14a2 group. Therefore, our results are consistent with improved molecular responses to front line imatinib therapy in a real world population of unselected individuals with CML for patients with the e14a2 group in comparison to the e13a2 group. Our study is limited by relatively small numbers but these results are largely in keeping with previous studies showing that patients with e14a2 obtain deeper, more sustained responses, faster than the e13a2 patients [16, 22, 23]. In our study and others, this does not impact on clinical outcomes [25]. A recent study comparing the expression of the BCR-ABL1 transcript to the level of genomic BCR-ABL1 DNA present in cells has suggested that although the expression of BCR-ABL1 messenger RNA (mRNA) may be similar between the two groups, the level of genomic BCR-ABL1 DNA is higher in e13a2 groups [26]. This may suggest that imatinib may be effective in reducing mRNA expression in both groups but less effective at reducing leukaemic cell burden in the e13a2 group. This may then underpin some of the differences we have observed when comparing deep molecular responses.

As OS and EFS were very similar between the two groups there is little evidence to suggest that in the current real world patient population that the type of transcript will ultimately affect the disease course. This, it could be argued, renders all of the above discussion as largely academic. However, we would suggest that given the critical need to obtain adequate deep and sustained molecular responses to allow patients the chance of treatment free life that there is an argument for the choice of TKIs with increased potency in the front line setting for younger patients with e13a2 transcripts. One study has suggested that the molecular response to imatinib in the e13a2 is inferior to that of second generation TKIs but that this was not seen in the e14a2 group [23]. Ideally, whether this front line use of second generation TKIs in this group will overcome some of the observed differences should be tested in a prospective study and may need to be offset against the greater toxicities of these agents. Ultimately this may help physician and patient make more informed decisions at diagnosis and allow for a more personalised approach to initial therapy. We did observe blast crisis only in the e14a2 group and the need for allogeneic stem cell transplantation only in the e14a2 group which appears contradictory to the other findings. Given the higher number of e14a2 patients neither of these were of statistical significance. One study had suggested a higher rate of blast crisis transformation in the e13a2 group [27].

Conclusion

Our own approach over the past seven years has been homogenous with regards to front line therapy. With the critical importance of obtaining optimal early response to TKI therapy in allowing patients to attempt and sustain a treatment free remission, early personalised decisions regarding therapy may help to optimise treatment. Our results are in keeping with other published series in suggesting an inferior response in patients with an e13a2 transcript type. Prospective studies evaluating alternative TKI use in this group as up front therapy may overcome these findings in real world population studies may help to guide physician and patient decision making at the outset.

Abbreviations

CML:

Chronic Myeloid Leukaemia

EFS:

Event Free Survival

ELN:

European Leukaemia Net

ESMO:

European Society of Medical Oncology

EUTOS:

European Treatment and Outcome Study

FISH:

Fluorescent in situ Hybridisation

HSCT:

Haematopoietic Stem Cell Transplantation

IS:

International Standard

MMR:

Major Molecular Response

mRNA:

Messenger RNA

OS:

Overall survival

PCR:

Polymerase Chain Reaction

RT-PCR:

Real time Polymerase Chain Reaction

TKI:

Tyrosine Kinase Inhibitor

WCC:

White Cell Count

References

  1. 1.

    Nowell PC. The minute chromosome (Phl) in chronic granulocytic leukemia. Blut. 1962;8:65–6.

    CAS  Article  PubMed  Google Scholar 

  2. 2.

    Groffen J, Heisterkamp N. The BCR/ABL hybrid gene. Baillieres Clin Haematol. 1987;1(4):983–99.

    CAS  Article  PubMed  Google Scholar 

  3. 3.

    Ben-Neriah Y, Daley GQ, Mes-Masson AM, Witte ON, Baltimore D. The chronic myelogenous leukemia-specific P210 protein is the product of the bcr/abl hybrid gene. Science. 1986;233(4760):212–4.

    CAS  Article  PubMed  Google Scholar 

  4. 4.

    Rowley JD. Letter: a new consistent chromosomal abnormality in chronic myelogenous leukaemia identified by quinacrine fluorescence and Giemsa staining. Nature. 1973;243(5405):290–3.

    CAS  Article  PubMed  Google Scholar 

  5. 5.

    Quintás-Cardama A, Cortes J. Molecular biology of bcr-abl1-positive chronic myeloid leukemia. Blood. 2009;113(8):1619–30.

    Article  PubMed  PubMed Central  Google Scholar 

  6. 6.

    Hochhaus A, Saussele S, Rosti G, Mahon FX, Janssen JJWM, Hjorth-Hansen H, et al. Chronic myeloid leukaemia: ESMO clinical practice guidelines for diagnosis, treatment and follow-up. Ann Oncol. 2017;28(suppl_4):iv41–51.

    CAS  Article  PubMed  Google Scholar 

  7. 7.

    Druker BJ, Talpaz M, Resta DJ, Peng B, Buchdunger E, Ford JM, et al. Efficacy and safety of a specific inhibitor of the BCR-ABL tyrosine kinase in chronic myeloid leukemia. N Engl J Med. 2001;344(14):1031–7.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  8. 8.

    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.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  9. 9.

    Hughes TP, Ross DM. Moving treatment-free remission into mainstream clinical practice in CML. Blood. 2016;128(1):17–23.

    CAS  Article  PubMed  Google Scholar 

  10. 10.

    O'Hare T, Eide CA, Deininger MW. Bcr-Abl kinase domain mutations, drug resistance, and the road to a cure for chronic myeloid leukemia. Blood. 2007;110(7):2242–9.

    CAS  Article  PubMed  Google Scholar 

  11. 11.

    Bennour A, Ouahchi I, Achour B, Zaier M, Youssef YB, Khelif A, et al. Analysis of the clinico-hematological relevance of the breakpoint location within M-BCR in chronic myeloid leukemia. Med Oncol. 2013;30(1):348.

    Article  PubMed  Google Scholar 

  12. 12.

    Mills KI, Benn P, Birnie GD. Does the breakpoint within the major breakpoint cluster region (M-bcr) influence the duration of the chronic phase in chronic myeloid leukemia? An analytical comparison of current literature. Blood. 1991;78(5):1155–61.

    CAS  PubMed  Google Scholar 

  13. 13.

    Shtivelman E, Lifshitz B, Gale RP, Roe BA, Canaani E. Alternative splicing of RNAs transcribed from the human abl gene and from the bcr-abl fused gene. Cell. 1986;47(2):277–84.

    CAS  Article  PubMed  Google Scholar 

  14. 14.

    Mills KI, Birnie GD. Prognostic significance of BCR breakpoint location in M-bcr. Leukemia. 1991;5(8):731–2.

    CAS  PubMed  Google Scholar 

  15. 15.

    Shepherd P, Suffolk R, Halsey J, Allan N. Analysis of molecular breakpoint and m-RNA transcripts in a prospective randomized trial of interferon in chronic myeloid leukaemia: no correlation with clinical features, cytogenetic response, duration of chronic phase, or survival. Br J Haematol. 1995;89(3):546–54.

    CAS  Article  PubMed  Google Scholar 

  16. 16.

    Ercaliskan A, Eskazan AE. The impact of BCR-ABL1 transcript type on tyrosine kinase inhibitor responses and outcomes in patients with chronic myeloid leukemia. Cancer. 2018;124(19):3806–18.

    CAS  Article  PubMed  Google Scholar 

  17. 17.

    Claudiani S, Apperley JF, Gale RP, Clark R, Szydlo R, Deplano S, et al. E14a2. Haematologica. 2017;102(8):e297–e9.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  18. 18.

    Gabert J, Beillard E, van der Velden VH, Bi W, Grimwade D, Pallisgaard N, et al. Standardization and quality control studies of 'real-time' quantitative reverse transcriptase polymerase chain reaction of fusion gene transcripts for residual disease detection in leukemia - a Europe against Cancer program. Leukemia. 2003;17(12):2318–57.

    CAS  Article  PubMed  Google Scholar 

  19. 19.

    Cross NC, Melo JV, Feng L, Goldman JM. An optimized multiplex polymerase chain reaction (PCR) for detection of BCR-ABL fusion mRNAs in haematological disorders. Leukemia. 1994;8(1):186–9.

    CAS  PubMed  Google Scholar 

  20. 20.

    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.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  21. 21.

    Höglund M, Sandin F, Simonsson B. Epidemiology of chronic myeloid leukaemia: an update. Ann Hematol. 2015;94(Suppl 2):S241–7.

    Article  PubMed  Google Scholar 

  22. 22.

    Hanfstein B, Lauseker M, Hehlmann R, Saussele S, Erben P, Dietz C, et al. Distinct characteristics of e13a2 versus e14a2 BCR-ABL1 driven chronic myeloid leukemia under first-line therapy with imatinib. Haematologica. 2014;99(9):1441–7.

    Article  PubMed  PubMed Central  Google Scholar 

  23. 23.

    Jain P, Kantarjian H, Patel KP, Gonzalez GN, Luthra R, Kanagal Shamanna R, et al. Impact of BCR-ABL transcript type on outcome in patients with chronic-phase CML treated with tyrosine kinase inhibitors. Blood. 2016;127(10):1269–75.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  24. 24.

    Hai A, Kizilbash NA, Zaidi SH, Alruwaili J, Shahzad K. Differences in structural elements of Bcr-Abl oncoprotein isoforms in chronic myelogenous leukemia. Bioinformation. 2014;10(3):108–14.

    Article  PubMed  PubMed Central  Google Scholar 

  25. 25.

    Pfirrmann M, Evtimova D, Saussele S, Castagnetti F, Cervantes F, Janssen J, et al. No influence of BCR-ABL1 transcript types e13a2 and e14a2 on long-term survival: results in 1494 patients with chronic myeloid leukemia treated with imatinib. J Cancer Res Clin Oncol. 2017;143(5):843–50.

    CAS  Article  PubMed  Google Scholar 

  26. 26.

    Pagani IS, Dang P, Kommers IO, Goyne JM, Nicola M, Saunders VA, et al. BCR-ABL1 genomic DNA PCR response kinetics during first-line imatinib treatment of chronic myeloid leukemia. Haematologica. 2018;103(12):2026–32.

    Article  PubMed  PubMed Central  Google Scholar 

  27. 27.

    Polampalli S, Choughule A, Negi N, Shinde S, Baisane C, Amre P, et al. Analysis and comparison of clinicohematological parameters and molecular and cytogenetic response of two Bcr/Abl fusion transcripts. Genet Mol Res. 2008;7(4):1138–49.

    CAS  Article  PubMed  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

No external funding was received.

Availability of data and materials

The datasets generated and/or analysed during the current study are not publicly available but are available from the corresponding author on reasonable request.

Author information

Affiliations

  1. Centre for Cancer Research and Cell Biology, Queen’s University Belfast, 97 Lisburn Rd, Belfast, BT9 7NN, UK

    Graeme Greenfield

  2. Department of Haematology, Belfast City Hospital, Belfast, UK

    Ross McMullan, Nuala Robson, Julie McGimpsey & Mark Catherwood

  3. CME, Queen’s University Belfast, Belfast, UK

    Mary Frances McMullin

Authors
  1. Graeme Greenfield
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ross McMullan
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Nuala Robson
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Julie McGimpsey
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Mark Catherwood
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Mary Frances McMullin
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

GG undertook data collection, analysis and wrote the manuscript. RM, JM, NR, MC and MFM undertook data collection and reviewed the manuscript. All authors have reviewed and approved the final manuscript.

Corresponding author

Correspondence to Graeme Greenfield.

Ethics declarations

Ethics approval and consent to participate

This study was a retrospective audit of care provided to each patient group in our region as a comparison to guidelines and published data. Implied consent for clinical audit purposes in line with standard practice. Data presented is not intended to be transferable and therefore as per Health Research Authority, UK guidelines does not require ethical approval.

Consent for publication

Not applicable.

Competing interests

GG, RM, JM, NR, MC – no competing interests to declare.

MFM – Novartis: Honorarium, speaker fee. Celgene: Speaker fee. Bristol Myer Squibb: Honorarium.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Greenfield, G., McMullan, R., Robson, N. et al. Response to Imatinib therapy is inferior for e13a2 BCR-ABL1 transcript type in comparison to e14a2 transcript type in chronic myeloid leukaemia. BMC Hematol 19, 7 (2019). https://doi.org/10.1186/s12878-019-0139-2

Download citation

Keywords

  • Chronic myeloid Leukaemia
  • Treatment free remission
  • BCR-ABL
  • e13a2 transcript
  • e14a2 transcript

BMC Hematology

ISSN: 2052-1839

Contact us