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Record W2985481325 · doi:10.1182/blood-2019-130532

Trial in Progress: Feasibility and Validation Study of the LSC17 Score in Acute Myeloid Leukemia Patients

2019· article· en· W2985481325 on OpenAlexaffabout
Tracy Murphy, Stanley Ng, Tong Zhang, Ian King, Andrea Arruda, Jaime O. Claudio, Narmin Ibrahimova, Fiona Ferrera, Chantal Rockwell, Zhibin Lu, Natalie Stickle, Carl Virtanen, Brian Leber, Mitchell Sabloff, Mark D. Minden, Tracy Stockley, Steven M. Chan, Jean Wang

Bibliographic record

VenueBlood · 2019
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsMcMaster UniversityJuravinski Cancer CentreOttawa HospitalPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineInternal medicineOncologyInduction chemotherapyMyeloid leukemiaClinical endpointMultivariate analysisClinical trialStem cellChemotherapy regimenChemotherapyBiology

Abstract

fetched live from OpenAlex

Background: AML is driven by a small subpopulation of leukemia stem cells (LSCs), which possess stem-cell properties such as quiescence and self-renewal that are linked to therapy resistance and relapse. The LSC17 score was derived from genes differentially expressed between functionally validated LSC+ and LSC- cell fractions from 78 AML patients. The LSC17 score was strongly associated with survival in 4 independent cohorts of AML patients treated with curative intent (n = 908), and accurately predicted initial response. Patients with high LSC17 scores had poor outcomes with standard treatment strategies. The LSC17 score remained highly significant in multivariate analyses, independent of commonly used prognostic factors. A critical advantage of the LSC17 test over cytogenetic analysis is its rapid turnaround time (24-48h on a NanoString platform), providing clinicians with a powerful tool for upfront risk stratification. To date, no RNA-based, stem cell-derived score has been transitioned into a Clinical Laboratory Improvement Amendments (CLIA) certified laboratory. Study design and methods: The study consists of 2 phases. Phase 1 aims to validate the assay in a CLIA certified laboratory setting. Phase 2 aims to determine prospectively the feasibility and prognostic power of LSC17 score testing in newly diagnosed AML patients in the real-world setting. Clinical endpoints include primary induction failure rate, relapse free survival and overall survival. All patients with a suspected diagnosis of de novo or secondary AML, who are deemed fit and appropriate by their treating physician to undergo intensive induction chemotherapy, are considered for this study. Patients who received any prior anti-leukemia treatments (except hydroxyurea) and patients with a confirmed diagnosis of acute promyelocytic leukemia are excluded. Current participating centres include Princess Margaret Cancer Centre (Toronto), Juravinski Cancer Centre (Hamilton), and The Ottawa Hospital Cancer Centre (Ottawa). Pre-study sample size analysis suggests that 150 patients will be required to demonstrate a hazard ratio for death of 2.3 between patients with a high and low LSC17 score (α = 0.05, power = 0.8). The survival for the high and low LSC17 score groups will be compared using the Cox proportional hazards model. Traditional risk stratification will also be tested within a Cox proportional hazards model. Phase 1 of the study has been completed and several key quality control measures have been created. Initial derivation and validation of the LSC17 score was performed using standard chemistry on the NanoString platform; for CLIA lab validation, the assay was transitioned to Elements© chemistry, which does not require custom codeset manufacture by NanoString. The original AML reference cohort was retested using Elements© chemistry to derive an absolute median threshold for prospective LSC17 score determination in individual patients. The lab validation process compared and found no difference in LSC17 scores between samples processed by Ficoll or collected in Paxgene for ease of processing. A standardised quality assurance (QA) process was completed to identify optimal sample requirements as well as specimen storage conditions, score stability during sample storage and turnaround time for testing. An algorithm has been created using the laboratory information system to allow standardised and rapid calculation of the LSC17 score from NanoString nCounter output data. The LSC17 score can be tested on peripheral blood or bone marrow, although bone marrow samples are preferred for patients with very low peripheral blast counts. Samples are ideally stored in RNA Paxgene tubes for RNA stability and to maximize RNA yield. The prospective phase of the study (Phase 2) opened in April 2018 and as of June 2019, 233 patients have been enrolled, of which 120 received induction chemotherapy. 54 patients were excluded due to an alternative diagnosis or failed QA. The remaining patients had non-intensive therapy based on patient choice. Standard prognostic markers including cytogenetics, molecular studies and targeted sequencing using a 49-gene AML panel are performed in parallel to the LSC17 score. Treatment was administered according to physician preference, based on patient history and results of standard prognostic assays, when available. The study continues to recruit and is open to collaborations in other centres. Disclosures Ng: Celgene: Research Funding. Leber:Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Pfizer: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene Corporation: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; AbbVie: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Astellas: Honoraria, Membership on an entity's Board of Directors or advisory committees; Jazz: Honoraria, Membership on an entity's Board of Directors or advisory committees; Alexion: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Sabloff:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Astellas Pharma Canada: Honoraria, Membership on an entity's Board of Directors or advisory committees; ASTX: Membership on an entity's Board of Directors or advisory committees, Research Funding; Jazz Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer Canada: Honoraria, Membership on an entity's Board of Directors or advisory committees; Actinium Pharmaceuticals, Inc: Membership on an entity's Board of Directors or advisory committees; Novartis Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees; Sanofi Canada: Research Funding. Minden:Trillium Therapetuics: Other: licensing agreement. Wang:NanoString: Other: Travel and accommodation; Trilium therapeutics: Other: licensing agreement, Research Funding; Pfizer AG Switzerland: Honoraria, Other: Travel and accommodation; Pfizer International: Honoraria, Other: Travel and accommodation.

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)0.014
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.002

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 head0.030
GPT teacher head0.311
Teacher spread0.281 · 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 designObservational
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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Citations6
Published2019
Admission routes2
Has abstractyes

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