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Anti-Thymocyte Globulin Kills Leukemic Stem Cells in Vitro

2016· article· en· W2611202021 on OpenAlexaff
Rosy Dabas, Poonam Dharmani, Monica Modi, Tiffany Van Slyke, Joanne Luider, Joseph Brandwein, Don Morris, Andrew Daly, Faisal Khan, Jan Storek

Bibliographic record

VenueBlood · 2016
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsCalgary Laboratory ServicesFoothills Medical CentreAlberta Health ServicesUniversity of AlbertaUniversity of Calgary
Fundersnot available
KeywordsAnti-thymocyte globulinLeukemiaStem cellImmunologyMyeloid leukemiaHaematopoiesisPeripheral blood mononuclear cellFlow cytometryTransplantationHematopoietic stem cell transplantationGraft-versus-host diseaseCD34MedicineBiologyCancer researchIn vitroInternal medicineGlobulin

Abstract

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Abstract Background: Although curative treatment for acute myeloid leukemia, the success of allogeneic hematopoietic cell transplantation (HCT) is limited due to leukemia relapse and graft-versus-host disease (GvHD). Rabbit anti-thymocyte globulin (ATG) used for GvHD prophylaxis does not increase relapse (Walker et al: Lancet Oncol 2016). The non-increase in relapse could be because ATG has a direct anti-leukemic effect (Dabas et al: BBMT 2016). Multiple studies have suggested that a high number of leukemic stem cells (LSCs, also called leukemia initiating cells) remaining after therapy is associated with relapse. Therefore, targeting LSCs may be important for treating or preventing relapse. We demonstrated ATG's cytotoxic effect against acute myeloid leukemia (AML) blasts (Dabas et al: BBMT 2016). However, ATG's effect on LSCs has not been evaluated. In this study, we investigated in vitro ATG-induced complement-independent cytotoxicity (CIC, presumably direct induction of apoptosis) and complement-dependent cytotoxicity (CDC) against LSCs. This was also compared to ATG-induced CIC and CDC against healthy hematopoietic stem cells (HSCs). Methods:Frozen peripheral blood mononuclear cells (PBMNCs) from 15 patients newly diagnosed with AML were used as the source of LSCs. Frozen mononuclear cell apheresis samples from 15 healthy stem cell donors were used as the source of HSCs. We measured by flow cytometry CIC and CDC induced by ATG at 10 mg/L (the median peak concentration achieved with 4.5 mg/kg ATG given over day -2, -1 and 0) and 50 mg/L. CIC was induced by incubating cells with ATG in the presence of heat-inactivated (complement-depleted) fetal bovine serum for 4 hours. As a negative control for the calculation of background, cells were cultured under the same conditions except without ATG. CDC was induced by incubating cells with ATG in the presence of human serum as a source of complement for 15 minutes. As a negative control (for background), cells were incubated with ATG in the presence of heat-inactivated human serum (no complement). The LSCs and HSCs were phenotypically defined as CD45dim/neg, side scatterlow, CD34+, CD38neg and negative for CD14, CD16, CD19, CD56, CD235a and CD41a. For CIC, dying/dead cells were identified as Annexin V positive (Annexin V+). For CDC, dead cells were identified as 7-amino-actinomycin D positive (7AAD+). Results: ATG induced both CIC and CDC of LSCs at the concentration of 50 mg/L but not 10 mg/L. For CIC, the median percent Annexin V+ LSCs after incubation with 50 mg/L ATG was 22.3% vs 18.4% for background (p=0.0043, Wilcoxon matched pairs test). For CDC, the median percent 7AAD+ LSCs after incubation with 50 mg/L ATG was 37.2% vs 2% background (p=0.0004, Wilcoxon matched pairs test). Next, we compared the cytotoxicity of 50 mg/L ATG against LSCs versus healthy HSCs. For CIC, a significantly greater percent of LSCs than HSCs was killed (P=0.0363, Mann-Whitney rank sum test) (Figure 1). Similarly, for CDC, there was a trend toward a greater percent of LSCs than HSCs killed (P=0.0971) (Figure 2). Conclusion: ATG kills LSCs in vitro via both CIC and CDC. However, the degree of the killing is minor and only observed at a higher ATG concentration than typically achieved in patients. Our data also suggest that if high dose ATG was used in patients (resulting in ≥50 mg/L concentration), LSCs could be killed to a greater degree than healthy HSCs. Figure 1 LSCs are more sensitive to ATG mediated CIC than healthy HSCs. Mononuclear cells from 15 patients newly diagnosed with AML and cells from leukapheresis products of 15 healthy stem cell donors were incubated with ATG (50 mg/L) in the absence of complement. After 4 hours, the percentage of dead or dying (Annexin V+) cells was measured in LSCs and HSCs. Adjusted percentage (background subtracted) is shown for each patient/donor. Medians are shown as horizontal lines. Figure 1. LSCs are more sensitive to ATG mediated CIC than healthy HSCs. Mononuclear cells from 15 patients newly diagnosed with AML and cells from leukapheresis products of 15 healthy stem cell donors were incubated with ATG (50 mg/L) in the absence of complement. After 4 hours, the percentage of dead or dying (Annexin V+) cells was measured in LSCs and HSCs. Adjusted percentage (background subtracted) is shown for each patient/donor. Medians are shown as horizontal lines. Figure 2 LSCs are more sensitive to ATG mediated CDC than healthy HSCs. Mononuclear cells from 15 patients newly diagnosed with AML and cells from leukapheresis products of 15 healthy stem cell donors were incubated with ATG (50 mg/L) in the presence of complement. After 15 minutes, the percentage of dead (7AAD+) cells was measured in LSCs and HSCs. Adjusted percentage (background subtracted) is shown for each patient/donor. Medians are shown as horizontal lines. Figure 2. LSCs are more sensitive to ATG mediated CDC than healthy HSCs. Mononuclear cells from 15 patients newly diagnosed with AML and cells from leukapheresis products of 15 healthy stem cell donors were incubated with ATG (50 mg/L) in the presence of complement. After 15 minutes, the percentage of dead (7AAD+) cells was measured in LSCs and HSCs. Adjusted percentage (background subtracted) is shown for each patient/donor. Medians are shown as horizontal lines. Disclosures Daly: Sanofi-Genzyme: Other: Advisory Board.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.015
GPT teacher head0.259
Teacher spread0.244 · 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 designBench or experimental
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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Published2016
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