| Literature DB >> 31014376 |
Simona Soverini1, Renato Bassan2, Thomas Lion3.
Abstract
The Philadelphia (Ph) chromosome, resulting from the t(9;22)(q34;q11) translocation, can be found in chronic myeloid leukemia (CML) as well as in a subset of acute lymphoblastic leukemias (ALL). The deregulated BCR-ABL1 tyrosine kinase encoded by the fusion gene resulting from the translocation is considered the pathogenetic driver and can be therapeutically targeted. In both CML and Ph-positive (Ph+) ALL, tyrosine kinase inhibitors (TKIs) have significantly improved outcomes. In the TKI era, testing for BCR-ABL1 transcript levels by real-time quantitative polymerase chain reaction (RQ-PCR) has become the gold standard to monitor patient response, anticipate relapse, and guide therapeutic decisions. In CML, key molecular response milestones have been defined that draw the ideal trajectory towards optimal long-term outcomes. Treatment discontinuation (treatment-free remission, TFR) has proven feasible in a proportion of patients, and clinical efforts are now focused on how to increase this proportion and how to best select TFR candidates. In Ph+ ALL, results of trials with second- and third-generation TKIs are challenging the role of intensive chemotherapy and even that of allogeneic stem cell transplantation. Additional weapons are offered by the recently introduced monoclonal antibodies. In patients harboring mutations in the BCR-ABL1 kinase domain, prompt therapeutic reassessment and individualization based on mutation status are important to regain response and prevent disease progression. Next-generation sequencing is likely to become a precious tool for mutation testing because of the greater sensitivity and the possibility to discriminate between compound and polyclonal mutations. In this review, we discuss the latest advances in treatment and monitoring of CML and Ph+ ALL and the issues that still need to be addressed to make the best use of the therapeutic armamentarium and molecular testing technologies currently at our disposal.Entities:
Keywords: Acute lymphoblastic leukemia; Allogeneic stem cell transplantation; BCR-ABL1; Chemotherapy; Chronic myeloid leukemia; Minimal residual disease; Next-generation sequencing; Tyrosine kinase inhibitors
Year: 2019 PMID: 31014376 PMCID: PMC6480772 DOI: 10.1186/s13045-019-0729-2
Source DB: PubMed Journal: J Hematol Oncol ISSN: 1756-8722 Impact factor: 17.388
Summary of discontinuation studies published as full papers or in abstract form, with MR levels required for inclusion and for the definition of relapse
| Study (ref) | No. of patients | Treatment before discontinuation | Requirements to stop therapy | Definition of relapse | TFR rate |
|---|---|---|---|---|---|
| STIM 1 [ | 100 | Imatinib (1st line or after IFN) for 3 years | CMR (undetectable transcript) for ≥ 2 years | Loss of CMR or ≥ 1-log increase in BCR-ABL | 39% @ 77 months |
| STIM 2 [ | 124 | Imatinib (1st line or after IFN) for ≥ 3 years | As for STIM | As for STIM | 61% @ 12 months |
| TWISTER [ | 40 | Imatinib (1st line or after IFN) for ≥ 3 years | Undetectable transcript for ≥ 2 years | Loss of MMR or confirmed loss of MR4.5 | 42.7% @ 24 months |
| A-STIM [ | 80 | Imatinib (1st line) for ≥ 3 years | As for STIM; occasional positive samples eligible | Loss of MMR | 61% @ 36 months |
| KIDS [ | 48 | Imatinib (1st line or after IFN) | Undetectable transcript for ≥ 2 years | Loss of MMR | 58.5% @ 24 months |
| JALSG-STIM213 [ | 77 | Imatinib (1st line or after IFN) | MR4 for ≥ 24 months (4 PCR) | Loss of MMR | 67.6% @ 12 months |
| ISAV [ | 112 | Imatinib (1st line or after IFN) | Undetectable transcript for ≥ 18 months (3 PCRs) | Loss of MMR | 52% @ 22 months |
| EUROSKI [ | 758 | Imatinib (1st line or after IFN), dasatinib, nilotinib | MR4 for ≥ 1 year; TKI for ≥ 3 years | Loss of MMR | 50% @ 24 months |
| STOP 2G-TKI [ | 60 | Nilotinib or dasatinib (2nd line) | Undetectable transcript for ≥ 2 years | Loss of MMR | 63.3% @ 12 months |
| DADI [ | 63 | Dasatinib (2nd line) | MR4 for ≥ 1 year (4 PCR) | Loss of MR4 | 44.4% @ 36 months |
| ENEST freedom [ | 190 | Nilotinib (1st line) | MR4.5 for ≥ 2 years | Loss of MMR | 48.9% @ 96 weeks |
| ENESTop [ | 126 | Nilotinib (2nd line, after imatinib) | MR4.5 for ≥ 2 years | Confirmed loss of MR4.0or any loss of MMR | 53.2% @ 96 weeks |
| DESTINY [ | 174 | Imatinib, dasatinib, nilotinib (50% de-escalation for 12 months, then stop) | At least stable MMR for 12 months (3 PCR) and stable response under half standard dose for 12 months | Loss of MMR | 73% in pts. with stable MR4; 41% in pts with stable MMR |
| D-STOP [ | 65 | Dasatinib as consolidation for 2 years | MR4 for ≥ 2 years | Loss of confirmed MR4 | 62.9% @ 12 months |
| DASFREE [ | 84 | Dasatinib (1st or subsequent line) | MR4.5 for ≥ 1 year | Loss of MMR | 48% @ 18 months |
| TRAD [ | 131 | Dasatinib rechallenge and discontinuation after imatinib discontinuation (second-stop) | MR4.5 for ≥ 2 years | Loss of MR4 on 2 consecutive occasions or loss of MMR on 1 occasion | 21.5% @ 6 months |
| NILSt [ | 112 | Nilotinib (1st line or after imatinib) | MR4.5 for 2 years | Loss of MR4.5 | 61% @ 12 months |
| LAST [ | 173 | Imatinib, dasatinib, nilotinib, or bosutinib | MR4 for ≥ 2 years | Loss of MMR | 60% @ 12 months |
| STAT2 [ | 96 | Nilotinib as consolidation for 2 years | MR4.5 for 2 years | Confirmed loss of MR4.5 | 67.9% @ 12 months |
| ENESTpath [ | 619 | Nilotinib (2nd line, after imatinib) | Randomized MR4.5 for ≥ 1 year vs ≥ 2 year | Confirmed loss of MR4 or any loss of MMR | In progress |
| ENESTGoal [ | 59 | Nilotinib (2nd line, after imatinib) | MR4.5 for ≥ 1 year | Confirmed loss of MR4 or any loss of MMR | In progress |
| CML V [ | 717 | Randomized nilotinib vs nilotinib + pegIFN (1st line) | MR4 for ≥ 1 year | Loss of MMR | In progress |
Abbreviations: IFN interferon, pegIFN pegylated IFN, PCR polymerase chain reaction, CMR complete molecular response, MMR major molecular response
CR induction results from representative series of adult/elderly Ph+ ALL, by type of TKI and associated induction drugs. Reports from randomized trials are marked with an asterisk (*)
| Study (author, ref.) | No. of patients | Patient median age, years (range)1,2 | TKI | Associated drug regimen | Induction results (%) | ||
|---|---|---|---|---|---|---|---|
| CR | NR | ED | |||||
| TKI + intensive chemotherapy | |||||||
| Yanada (2006) [ | 80 | 48 (15–63) | IM | JALSG ALL202 | 96.2 | 1.3 | 2.5 |
| Wassmann (2006) [ | 45 | 41 (19–63) | IM | GMALL | 96 | 2 | – |
| Ottmann (2007) [ | 27 | 68 (58–78)2 | IM | GMALL (intensive arm) | 85 | 7 | 8 |
| De Labarthe (2007) [ | 45 | (16–59) | IM | GRAAPH-2003 | 93.5 | – | 6.5 |
| Pfeifer (2010) [ | 284 | 43 (17–65) | IM | GMALL | 87 | 4.2 | 8.8 |
| Bassan (2011) [ | 59 | 45 (20–66) | IM | NILG 09/00 | 92 | 4 | 4 |
| Ribera (2012) [ | 59 | 40 (15–62) | IM | PETHEMA | 95.5 | 1.5 | 3 |
| Thyagu (2012) [ | 32 | 46 (18–60) | IM | DFCI modified | 93.7 | 6.3 | – |
| Fielding (2014) [ | 89 | 42 (16–64) | IM | UKALL XII/ECOG 2993 | 92 | 1 | 7 |
| Chalandon (2015) [ | 133 | 45 (18–59) | IM | Hyper-CVAD (intensive arm) | 91 | 2.2 | 6.7 |
| Daver (2015) [ | 45 | 51 (17–84) | IM | Hyper-CVAD | 93 | 3.5 | 3.5 |
| Lim (2015) [ | 87 | 41 (16–71) | IM | Multiagent | 94 | – | 6 |
| Wang (2018) [ | 145 | 37 (14–65) | IM | CODP | 94 | 4 | 2 |
| Ravandi (2015) [ | 72 | 55 (21–80) | DAS | Hyper-CVAD | 96 | – | 4 |
| Kim (2015) [ | 90 | 47 (17–71) | NIL | Multiagent intensive | 91 | – | 9 |
| Ravandi (2016) [ | 94 | 44 (20–60) | DAS | Hyper-CVAD | 88 | 9 | 23 |
| Jabbour (2018) [ | 76 | 47 (39–71) | PON | Hyper-CVAD | 1004 | – | – |
| TKI+ non-intensive chemotherapy | |||||||
| Bassan (2010) [ | 675 | – | IM | Low intensity | 100 | – | – |
| Chalandon (2015) [ | 135 | 49 (18–59) | IM | Low intensity (non-intensive arm) | 98.56 | 0.7 | 0.7 |
| Rousselot (2016) [ | 71 | 69 (59–83)2 | DAS | Low intensity | 96 | 1 | 3 |
| Chalandon (2018) [ | 60 | 47 (18–59) | NIL | Low intensity (non-intensive arm) | 98.3 | – | 1.7 |
| Ottmann (2018) [ | 72 | 65 (55–85)2 | NIL | Low intensity | 94.4 | 2.8 | 2.8 |
| TKI without chemotherapy (prednisone only) | |||||||
| Vignetti (2007) [ | 29 | 69 (61–83)2 | IM | Prednisone | 100 | – | – |
| Ottmann (2007) [ | 28 | 66 (54–79)2 | IM | – | 967 | 4 | – |
| Foà (2011) [ | 53 | 54 (24–76) | DAS | Prednisone | 100 | – | – |
| Papayannidis (2013) [ | 36 | 66 (28–84) | IM/NIL8 | Prednisone | 94 | 6 | – |
| Chiaretti (2015) [ | 60 | 42 (18–59) | DAS | Prednisone | 96.6 | 3.4 | – |
| Chiaretti (2016) [ | 49 | 46 (17–59) | IM | Prednisone | 96 | – | 4 |
| Martinelli (2017) [ | 42 | 68 (27–85)2 | PON | Prednisone | 95.2 | NA | NA |
1Including elderly (> 55 years) and/or frail patients only
2Two patients not in CR by week 6
3All 65 patients with active disease at enrolment
4From modified NILG 09/00 protocol (low-intensity induction: no L-asparaginase, 50% idarubicin reduction; data on file)
5Randomized phase 3 trial: higher CR rate in the non-intensive arm (P = 0.006) due to lower ED rate (P = 0.010)
6P = 0.001 for CR rate vs intensive chemotherapy arm
7Alternating schedule (every 6 weeks)
8Two patients entering CR by day 57, losing response by day 85
Abbreviations: IM imatinib, DAS dasatinib, NIL nilotinib, PON ponatinib, CR complete remission, NR non-responsive, ED early death, NA not available
Post-induction and pre-transplantation MRD responses in representative, selected series of adult/elderly Ph+ ALL, by type of TKI and associated induction chemotherapy. The single randomized trial is indicated by an asterisk (*)
| Study (author, ref.) | TKI-based therapy | No. of patients with CHR | Post-induction MRD (%)1 | ||
|---|---|---|---|---|---|
| CMR | MMR | ||||
| TKI | Chemotherapy | ||||
| Daver (2015) [ | IM | Intensive (Hyper-CVAD) | 51 | 45 (12 weeks) | 38 (median 10 weeks) |
| Pfeifer (2010) [ | Intensive (GMALL) | 247 | 12.5–33 (consolidation 1)2 | – | |
| Chalandon (2015) [ | Intensive (GRAALL)* | 121 | 9.5 (cycle 1) | 43.1 (cycle 1) | |
| Non-intensive (GRAALL)* | 133 | 9.9 (cycle 1) | 45.5 (cycle 1) | ||
| Vignetti (2007) [ | None (GIMEMA)3 | 29 | 14 | – | |
| Ravandi (2015) [ | DAS | Intensive (Hyper-CVAD) | 69 | 65 (median 4 weeks) | 28 (median 4 weeks) |
| Rousselot (2016) [ | Non-intensive (EWALL) | 67 | 20 (cycle 1) | 60 (cycle 1) | |
| Chiaretti (2015) [ | None (GIMEMA)3 | 58 | 18.6 | – | |
| Kim (2015) [ | NIL | Intensive | 82 | 56 (at CHR) | 79 (at CHR) |
| Ottmann (2018) [ | Non-intensive (EWALL) | 68 | 14 (cycle 1) | 41 (cycle 1) | |
| Chalandon (2018) [ | Non-intensive (GRAALL) | 60 | – | 80 (cycle 2) | |
| Papayannidis (2013) [ | IM/NIL | None (GIMEMA)4 | 34 | 35.4 (week 6) | – |
| Jabbour (2018) [ | PON | Intensive (Hyper-CVAD) | 76 | 83 (median 10 weeks) | 97 (median 3 weeks) |
| Martinelli (2017) [ | None (GIMEMA)3 | 38 | 60.6 | – | |
1Non-standard definitions according to single studies: CMR, complete molecular response (BCR-ABL1 MRD < 0.01–0.001% or undetectable); MMR, major molecular response (BCR-ABL1 MRD < 0.1%); results after treatment course/week/time as indicated
2IM starting with induction Ib vs. Ia, respectively
3Plus systemic corticosteroids and intrathecal prophylaxis (methotrexate)
4Alternating schedule q6 weeks
Abbreviations: IM imatinib, DAS dasatinib, NIL nilotinib, PON ponatinib, CHR complete hematological response, CMR complete molecular response, MMR major molecular response
Long-term results of TKI-based clinical trials for adult Ph+ (patients in complete hematologic remission), with emphasis on allogeneic stem cell transplantation (SCT)
| Study (author, ref.) | No. of patients | TKI-based therapy | Treatment outcome (%) | ||||||
|---|---|---|---|---|---|---|---|---|---|
| General | SCT | No SCT | |||||||
| No. | Outcome | TRM | No. | Outcome | |||||
| Pfeifer (2010) [ | 247 | IM/CT | 40–50 (OS, 4 years) | 180 | 57 (OS, 3 years) 72 (DFS) | 21–26 | – | 14 (OS, 3 years) | NR |
| Bassan (2010) [ | 53 | IM/CT | 38 (OS, 5 years) | 34 | 46 (DFS, 5 years) | 17 | 19 | 30 (OS, 2 years) | 0.019 (DFS) |
| Ribera (2012) [ | 56 | IM/CT | 37–63 (EFS, 2 years) | 32 | NR | 31 | 24 | NR | NR |
| Thyagu (2012) [ | 30 | IM/CT | 53 (OS, 3 years) | 16 | 56 (OS, 3 years) | 37.5 | 14 | 50 (OS, 3 years) | 0.34 (OS) |
| Fielding (2014) [ | 161 | IM/CT | 38 (OS, 4 years) | 93 | 52 (OS, 4 years) | NR | 44 | 19 (OS, 4 years) | NR |
| Chalandon (2015) [ | 254 | IM/CT | 45.6 (OS, 5 years) | 148 | 56.7 (OS, 5 years) | 25.8 | 106 | 35 (OS, 5 years) | 0.02 (OS) |
| Daver (2015) [ | 39 | IM/CT | 43 (OS. 5 years) | 16 | 63 (DFS, 5 years) | NR | 23 | 43 (DFS, 5 years) | 0.52 (DFS) |
| Lim (2015) [ | 82 | IM/CT | 39(OS, 5 years) | 56 | 53 (OS, 5 years) | 30 | 26 | NR | NR |
| Chiaretti (2016) [ | 47 | IM/CT | 48.8 (OS, 5 years) | 23 | NR | 13 | 24 | NR | 0.03 (OS) |
| Wang (2018) [ | 136 | IM/CT | 69.2 (OS, 4 years) | 77 | 82.6 (OS, 4 years) | 10 | 56 | 45.6 (OS-4 years) | < 0.001 (OS, DFS) |
| Chiaretti (2015) [ | 60 | DAS/CT | 58 (OS, 3 years) | NR | NR | NR | NR | NR | NR |
| Ravandi (2016) [ | 83 | DAS/CT | 69 (OS, 3 years) | 41 | 76 (DFS, 3 years) | 0 | 53* | 56 (OS, 3 years) | 0.037 (OS) |
| Kim (2015) [ | 82 | NIL/CT | 72 (OS, 2 years) | 57 | 78 (DFS, 2 years) | 19 | 25 | 49 (DFS, 2 years) | 0.045 (DFS) |
| Ottmann (2018) [ | 68 | NIL/CT | 47 (OS, 4 years) | 24 | 61 (OS, 4 years) | 25 | 44 | 39 (OS, 4 years) | NS |
| Jabbour (2018) [ | 76 | PON/CT | 71 (OS, 5 years) | 15 | 70 (OS, 3 years) | 20 | 61 | 87 (OS, 3 years) | 0.32 (OS) |
*Including eight no-protocol SCT patients
Abbreviations: OS overall survival; DFS disease-free survival; EFS event-free survival, shown is a long-term estimate at 3+ years (length of follow-up); CT chemotherapy; TRM transplant-related mortality; NR not reported; NS not significant
BCR-ABL1 KD mutations that influence the selection of second- or third-generation TKIs
| T315I | Ponatinib |
| F317L/V/I/C, T315A | Nilotinib, bosutinib* (or ponatinib if the patient failed or was unable to tolerate first and second-generation TKIs) |
| V299L | Nilotinib (or ponatinib if the patient failed or was unable to tolerate first and second-generation TKIs) |
| Y253H, E255V/K, F359V/I/C | Dasatinib, bosutinib* (or ponatinib if the patient failed or was unable to tolerate first and second-generation TKIs) |
*There is very limited data available on mutations associated with clinical resistance to bosutinib in vivo. Some in vitro data suggested that the E255K and, to a lesser extent, the E255V, might be poorly sensitive to bosutinib [120]