Utility of Leukemic Stem Cells Markers in Determining Minimal Residual Disease in Patients with AML
Bibliographic record
Abstract
Abstract Introduction: Minimal residual disease (MRD) assessments are being increasingly used to define prognosis in patients with acute myeloid leukemia (AML). However, data suggests that a proportion of patients found to be MRD negative experience leukemia relapse. These relapses are thought to be related to the persistence of leukemia stem cells (LSC) that survive chemotherapy. Recent studies have identified a number of LSC antigens that may be useful to follow LSC populations including CLL1, CD123 and CD47. We hypothesized that the use of a routine antibody panel in conjunction with CD123 and CLL1 specific antibodies will allow for more accurate determination of MRD using multiparametric flow cytometry (MPFC) and better identification of patients destined to relapse. Methods: In this single center prospective study we evaluated the diagnostic bone marrow samples of all newly diagnosed patients with AML (excluding APL) for leukemia associated immunophenotypes (LAIP's) using MPFC and a panel of antibodies targeted towards myeloid, lymphoid and LSC markers. LAIP's were scored as a percentage of the bulk blast population which was defined using plots of Side Scatter (SCC) vs. CD45. LSC compartment was defined as CD34+CD38-CD123+ or CD34+CD38-CLL1+. Bone marrow samples from non-leukemic patients were used to identify the background level of CD123 and CLL1 positivity. Samples were considered MRD positive if having >0.1% of a specific LAIP as a function of the bulk blast population. Results: Over the study duration, 88 patients with newly diagnosed AML received intensive chemotherapy (Table1). Complete MRD data (routine and LSC markers) was available for 58 patients had at the end of induction and 31 patients at the end consolidation (EOC). For the 58 patients with end-of-induction (EOI) MRD data the diagnostic sample revealed CD123+ LSC and CLL1+ LSC at a frequency of >0.1% in 30 (51.7%) and 28 (48.3%) patients respectively and at a frequency of Following a single induction chemotherapy cycle 52/58 (89.7%) patients were in complete remission. At the EOI, 26/58 (44.8%) patients were found to be MRD negative using the standard antibody panel. Only 3/30 patients (10%) who had CD123+ LSC and 2/28 patients who had CLL1+ LSC at diagnosis were found to be negative at the EOI. However, 21/24 (87.5%) patients that were negative for CD123+ LSC and 22/24 (85%) patients that were negative for CLL1+ LSC at diagnosis were found to be positive for CD123+ LSC and CLL1+ LSC at the EOI, respectively. At the EOC, 31 patients were assessed for routine and LSC based MRD. Amongst these patients 16 (51.6%) were MRD negative using routine markers, 13 (41.9%) were negative CD123 and only 6 (19.4%) were negative for CLL1. There was no relationship between relapse rates and the MRD status at the EOI or EOC using either standard MRD markers, CD123 or CLL1. Although not statistically significant we observed that only 1 of 6 (16.7%) patients that was negative for CLL1+ LSC at the end of consolidation relapsed in contrast to 11 of 25 (44%) patients that were positive for CLL1+ LSC (p=0.4). After a median follow-up of 11.3 months, the median relapse free survival for patients that were positive for CLL1+ LSC at the EOC was 13.8 months and was not achieved for patients negative for CLL1+ LSC (p=0.4). Similarly, there was no significant difference in the RFS for patients that were MRD positive or negative for routine MRD markers (16.8 vs. 13.8 months, p=0.94) or for CD123 (13.8 vs. 16.8 months, p=0.73). The median overall survival (OS) for the entire cohort was not achieved. There was no significant difference in the OS for patients based upon MRD status at the EOC when using standard MRD markers, CLL1 (Figure 1) or CD123 (Figure 2). Conclusions: This proof-of-concept study suggests that the CLL1+ and CD123+ LSC can be identified at diagnosis at very low levels relative to the bulk blast population. Surprisingly, patients who were negative for CD123+ and CLL1+ LSC at diagnosis were often found to be positive at EOI. This may be related to a reduction in the overall blast population due to chemotherapy, but persistence of the original LSC population. Larger studies are necessary to explore the impact of persistent LSC markers on clinical outcomes. Download : Download high-res image (120KB) Download : Download full-size image Disclosures No relevant conflicts of interest to declare.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".