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Imatinib Suspension and Validation Study: Results from the Isav Study at 62 Months

2017· article· en· W3167228241 on OpenAlexaffabout
Silvia Mori, Philipp D. le Coutre, Elisabetta Abruzzese, Bruno Martino, Ester Pungolino, Chiara Elena, Micaela Bergamaschi, Sarit Assouline, Eros Di Bona, Antonella Gozzini, Marcio Andrade, Fabio Stagno, Alessandra Iurlo, Michela Luciani, Eleonora Parisse, Dong‐Wook Kim, Alessandra Pirola, Michela Viltadi, Maria Luisa Bonanomi, Patrizia Crivori, Rocco Piazza, Carlo Gambacorti‐Passerini

Bibliographic record

VenueBlood · 2017
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsDiscontinuationImatinibMedicineInternal medicineImatinib mesylateOncologyMyeloid leukemiaMinimal residual diseaseSurgeryGastroenterologyLeukemia

Abstract

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Abstract Introduction. Imatinib discontinuation in Chronic Myeloid Leukemia (CML) patients (pts) with minimal residual disease is a procedure that allows a treatment free remission in approximately 50% of them. However long term follow-up data are generally missing Here we report an update of the Imatinib Suspension And Validation (ISAV) study at 62 months (mts) of follow-up (FUP). Aims. The ISAV study is aimed at validating the capability of digital PCR (dPCR) to predict relapses after imatinib discontinuation in CML pts with negative Q-RT-PCR results and to evaluate relapse rate, time of recurrence, survival and the impact of imatinib treatment on Quality of Life (QoL). Methods. This study involves 15 sites, 10 in Italy and 1 in each of the following countries: Germany, Spain, The Netherlands, Canada and Israel. CML pts (Chronic or Accelerated Phase) under imatinib therapy since more than 2 years and in complete molecular remission (CMR) were eligible. Patients had to be in CMR for at least 18 mts, with a minimum of 3 Q-RT-PCR performed at their own sites. After discontinuation of imatinib therapy, Q-RT-PCR was performed monthly (mts 1-6), bimonthly for 36 mts and then every 6 months for additional 2 years, to assess the maintenance of the molecular remission. The loss of molecular remission was defined as two consecutive positive Q-RT-PCR tests with at least one BCR-ABL/ABL value above 0.1%. Patients losing molecular remission resumed imatinib treatment at the same dosage used before interruption. Patients' QoL during imatinib discontinuation/resumption was evaluated through the EORTC QLQ-C30 questionnaire. Results. The ISAV study enrolled 112 pts with a median FUP time of 47.6 mts [95% CI: 42.8-53.0]; 36.6% of them completed the study. The 59.3% of pts were male and 37.0% were aged 65 or older; median duration of imatinib treatment was 103.1 mts with median duration of CMR of 25.4 mts before imatinib discontinuation. dPCR results showed that 23.1% of pts were positive and 75.9% negative at the time of discontinuation, with a Negative Predictive Value ratio (dPCR/Q-RT-PCR) of 1.1 [95% CI: 0.99-1.22]. At 62 mts from imatinib discontinuation, 55 pts (50.9%, 95% CI: 41.1-60.7) of the 108 eligible ones relapsed and resumed imatinib with a relapse rate of 51.9% [95%CI: 42.5-61.0]; 70.9% of them relapsed in the first 9 mts. Of the 53 not-relapsed pts, 40 (37.0% of the total) regained Q-RT-PCR positivity without losing MMR. The median time to Q-RT-PCR positivity was 3.2 mts [95% CI: 2.1-4.6] in the relapsed pts and 4.8 mts [95% CI: 2.9-7.8] in pts who developed only PCR positivity. In this latter group 2 pts experienced late relapses, at 30.6 and 45.5 mts respectively. A loss of CCyR occurred in 13 pts (34.2% of those tested): 10/13 CCyR losses were recovered, the remaining 3 were not be assessed for response. No case of CML progression or resistance to imatinib was observed. After the resumption of imatinib the median time to MMR/CMR was 1.8 [95% CI: 1.1-2.1] mts. One patient, who relapsed, successfully managed a second attempt at discontinuation. No significant correlation between relapse and previous duration of imatinib treatment, use of interferon, time to CCyR, Sokal score or duration of CMR was identified, while an inverse relationship between pts age and risk of relapse was evident. Moreover, age and dPCR results together can predict the risk of relapse: pts with less than 45 years and with a positive dPCR had the highest risk of relapse (100%) as opposed to pts ≥45 years and with negative dPCR (36.1%). The analysis of QoL evidenced a statistically significant improvement in the general well-being and symptoms scales at 1 month after imatinib discontinuation and in particular nausea, diarrhea and fatigue (p Conclusions. At 62 mts from the beginning of the study, with a median FUP of 47.6 mts, 50.9% of pts relapsed; the majority of relapses developed in the first 9 mts after imatinib discontinuation however late relapses also occurred, up to the 4th year. Therefore pts who discontinue imatinib should be monitored for a long period of time, especially if they showed positive PCR values after imatinib discontinuation. Age Disclosures le Coutre: Novartis: Honoraria, Research Funding; BMS: Honoraria; Pfizer: Honoraria; Incyte: Honoraria; ARIAD: Honoraria. Abruzzese: BMS: Consultancy; Pfizer: Consultancy; Novartis: Consultancy; Incyte: Consultancy. Assouline: Novartis Canada Inc.: Honoraria; Bristol Myer Squibb: Speakers Bureau; Pfizer: Speakers Bureau; Paladin: Speakers Bureau; Janssen: Honoraria. Stagno: Incyte: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria; Novartis: Consultancy, Honoraria; Bristol Myers Squibb: Consultancy, Honoraria. Iurlo: Pfizer: Consultancy, Honoraria; Novartis: Consultancy, Honoraria; Bristol Myers Squibb: Consultancy, Honoraria. Gambacorti-Passerini: Pfizer: Consultancy, Honoraria, Research Funding; BMS: Consultancy.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.308
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2017
Admission routes2
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