Risk of Progression in Chronic Phase - Chronic Myeloid Leukemia (CML) Patients Eligible for Tyrosine Kinase Inhibitor Discontinuation (TFR-PRO study): Preliminary Results
Bibliographic record
Abstract
Abstract Background. Over 50% of CP-CML patients will achieve a deep molecular response (DMR) at some point during treatment with Tyrosine Kinase Inhibitors (TKI), where DMR is defined as BCR-ABL1 transcript levels lower than 1/10000 (or MR4). Treatment discontinuation (TD) in CP-CML patients with stable DMR is successful in approximately half of cases, with a relapse free survival (RFS) of 48-61% at 3 years. TD is considered safe, since MMR is achieved in almost all cases when TKI re-initiation is required. As such, treatment-free remission (TFR) is now usually attempted outside of clinical trials and is part of many CML guidelines. The progression to accelerated phase/blast crisis (AP/BC) after TD was considered virtually impossible for a long time. However, recent reports document at least six cases of disease progression after TD, some of which were fatal. These observations raise concerns about the safety of TD, since now the practice can no longer be considered completely immune from the risk of disease progression, an occurrence that drastically changes the patient situation and perspective when it develops. To best counsel patients and more safely apply TD, a precise quantification of the risk of progression in this setting is needed. Study Design and Methods The TFR-PRO project monitor CML patients in long term treatment and with stable DMR, followed at 28 centers in 4 different countries (Canada, Italy, Germany, Spain). Each center is expected to enroll approximately 100 patients. The following variables were measured: time adjusted rates (TAR) of molecular relapse (loss of MR3) and of progression to AP/BC; progression free and overall survival. Primary Objective To quantify the risk of progression to AP/BP, expressed as TAR, after TKI discontinuation in CML patients who undergo a first or subsequent TKI discontinuation attempt. This value will be compared to that obtained in a similar population of patients with the same characteristics who do not discontinue TKI treatment. A flexible statistical approach will allow to attribute patients to the two groups according to their decision about TKI discontinuation and to the loss of MR3. Patients eligibility includes a history of at least 3 years of TKI treatment and at least 18 months of continuous DMR. Results The study opened on July 24 th,2020. Twelve centers are presently active with 303 eligible patients registered, for a total of 1614 person years available for analysis. Median follow up is 4.99 years (range 0.39-15.00 years), median age at diagnosis is 50.4 years and 47.9% patients are female. Sokal score (available in 147 patients) is low in 44.90%, intermediate in 32.65% and high in 22.45%. A total of 116 patients (38.28%) attempted TD at some point; 10 patients (3.30%) attempted TD twice. Loss of MR3 occurreded in 44/116 (37.93%) patients after TD for a TAR of 15.69/100 person years, (95% confidence interval (CI) [11.68-21.09]), but also in patients who did not attempt TD (21/187, or 11.23%), TAR: 1.83/100 person years, 95%CI [1.19-2.81], p<0.0001. No patient progressed to AP/BC and therefore the TAR of progression is 0% with an upper value of 95%CI of 1.07/100 person years for patients who attempted TD, and with an upper value of 95%CI of 0.26/100 person years for patients who did not attempt TD. Conclusions These preliminary results obtained in a real world scenario indicate that approximately 40% of eligible patients attempt TD. The loss of MR3 after TD seem to happen less frequently (38%) than previously reported. Patients who discontinue treatment have a significantly higher risk of losingMR3 than those who continue treatment, and the risk of progression to AP/BC is lower than 1.07/100 person years. More patients need to be enrolled in this study in order to better estimate this latter number. Disclosures Assouline: Gilead: Speakers Bureau; Jewish General Hospital, Montreal, Quebec: Current Employment; Johnson&Johnson: Current equity holder in publicly-traded company; Novartis: Honoraria, Research Funding; Eli Lilly: Research Funding; Roche/Genentech: Research Funding; Takeda: Research Funding; BeiGene: Consultancy, Honoraria, Research Funding; Amgen: Current equity holder in publicly-traded company, Research Funding; F. Hoffmann-La Roche Ltd: Consultancy, Honoraria, Research Funding; AstraZeneca: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria. Abruzzese: Pfizer: Consultancy, Honoraria; Bristol Myers Squibb: Consultancy, Honoraria; Incyte: Consultancy, Honoraria; Novartis: Consultancy, Honoraria. Elena: CELGENE: Other: funding for meeting participation; PFIZER: Membership on an entity's Board of Directors or advisory committees; NOVARTIS: Membership on an entity's Board of Directors or advisory committees; GILEAD: Membership on an entity's Board of Directors or advisory committees. Saussele: Roche: Honoraria; Pfizer: Honoraria; Incyte: Honoraria, Research Funding; BMS: Honoraria, Research Funding; Novartis: Honoraria, Research Funding. Gambacorti-Passerini: Pfizer: Honoraria, Research Funding; Bristol-Myers Squibb: Consultancy.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".