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Record W2917325471 · doi:10.1182/blood-2018-99-117332

High Pre-HCT Exposure to Thymoglobulin Is Associated with a Low Incidence of Relapse

2018· article· en· W2917325471 on OpenAlexaff
Rosy Dabas, Kareem Jamani, Bill Kangarloo, Poonam Dharmani‐Khan, Don Morris, Douglas J. Mahoney, Andrew Daly, Faisal Khan, Jan Storek

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsAlberta Health ServicesUniversity of Calgary
Fundersnot available
KeywordsThymoglobulinMedicineFludarabineBusulfanGastroenterologyCumulative incidenceGraft-versus-host diseaseInternal medicineTransplantationHematopoietic stem cell transplantationImmunologyChemotherapyCyclophosphamideKidney transplantation

Abstract

fetched live from OpenAlex

Abstract Introduction The most frequent serious complications of allogeneic hematopoietic cell transplant (HCT) are leukemia relapse and graft-vs-host disease (GVHD). Rabbit anti-T cell globulin (ATG, Thymoglobulin) reduces GVHD without increasing relapse, as shown in 3 randomized studies (Chang et al. Cancer 2017, Walker et al. Lancet Oncol 2016, Bacigalupo et al. BBMT 2006). ATG has a direct anti-leukemic effect in vitro (Dabas et al. BBMT 2016, Dabas et al. BMT 2018 in press). In spite of that, in the randomized studies ATG did not reduce relapse. We hypothesized that this could be due to differential effects of ATG pre- vs post-HCT on relapse. Specifically, post-HCT (but not pre-HCT), the anti-leukemic effect of ATG could be countered by ATG impairing graft-vs-leukemia effect (GVL). Here we set out to determine whether pre- vs post-HCT ATG area-under-the-curve (AUC) is associated with relapse and GVHD, the latter possibly being a surrogate for GVL. Methods A total of 153 patients were studied. All received first allogeneic HCT using conditioning with fludarabine (250 mg/m2), busulfan (~12.8 mg/kg) + TBI (4 Gy) and GVHD prophylaxis with rabbit ATG (0.5 mg/kg on day -2, 2 mg/kg on day -1 and 2 mg/kg on day 0 before graft infusion), methotrexate and cyclosporine. Serum was collected at the end of the last ATG infusion, immediately pre-graft infusion, 30 minutes after the end of graft infusion and days 7 and 28. Serum levels of ATG capable of binding to total mononuclear cells (MNCs) were determined using a flow cytometry-based assay (similar to Podgorny et al. BBMT 2010). Pre-HCT ATG AUC was estimated from ATG levels at the end of the last ATG infusion and pre-graft infusion. Post-HCT ATG AUC was estimated from the ATG levels 30 minutes post graft infusion and on days 7 and 28. AUCs were split into above and below median for analysis. Multivariate competing risks regression (according to Fine and Gray) was used to determine whether high ATG AUC was associated with the cumulative incidence of relapse. Multivariate Cox regression was used to determine if high ATG AUC was associated with relapse-free survival (RFS). Results High (above median) pre-HCT AUC was associated with a lower incidence of relapse (SHR=0.430, P=0.029) (Fig. 1, top). It was also associated with improved RFS (HR=0.534, P=0.040). For post-HCT AUC, there appeared to be a trend toward an opposite association - high (above median) post-HCT AUC associated with a higher incidence of relapse (SHR=1.470, P=0.302) (Fig. 1, bottom). There was no association between high post-HCT AUC and RFS. Regarding GVHD, there appeared to be a trend toward an association between high pre-HCT AUC and a lower incidence of significant GVHD (grade 2-4 aGVHD or moderate-severe cGVHD) (SHR=0.667, P=0.128) (Fig. 2, top). A strong and significant association was observed between high post-HCT AUC and a lower incidence of significant GVHD (SHR=0.462, P=0.005) (Fig. 2, bottom). Conclusion High pre-HCT ATG AUC appears to result in less relapse and improved RFS. This may be the in vivo reflection of the known anti-leukemic activity of ATG in vitro. In contrast, high post-HCT AUC appears to have a neutral or deleterious impact on relapse. As high post-HCT AUC is strongly associated with a low incidence of GVHD, which may be a surrogate for weak GVL, it is possible that after HCT, the anti-leukemic effect of ATG is overshadowed by its anti-GVL effect. 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 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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.239
Teacher spread0.231 · 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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Citations0
Published2018
Admission routes1
Has abstractyes

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