MétaCan
Menu
← Back to cohort
Record W2986188404 · doi:10.1182/blood-2019-129497

No Impact of Donor's Age-Related Clonal Hematopoiesis (ARCH) Observed on Graft-Versus-Host Disease Following Allogeneic Hematopoietic Stem Cell Transplantation: Result from Bar-Coded Error Corrected Sequencing in 33 Gene Mutations on 372 Pairs of Donor and Recipient

2019· article· en· W2986188404 on OpenAlexaff
Kyoung Ha Kim, Tae‐Hyung Kim, Jae-Sook Ahn, Zeyad Al‐Shaibani, Arjun Law, Wilson Lam, Fotios V. Michelis, Auro Viswabandya, Jeffrey H. Lipton, Rajat Kumar, Jonas Mattsson, Zhaolei Zhang, Tamir Biezuner, Liran I. Shlush, Dennis Dong Hwan Kim

Bibliographic record

VenueBlood · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer Genomics and Diagnostics
Canadian institutionsUniversity Health NetworkPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsTransplantationHematopoietic stem cell transplantationGraft-versus-host diseaseOncologyStem cellDeep sequencingMedicineInternal medicineImmunologyBiologyGeneGeneticsGenome

Abstract

fetched live from OpenAlex

Introduction: Recent advances in next-generation sequencing (NGS) enables us to reveal the clinical relevance of age-related clonal hematopoiesis (ARCH) in healthy individuals without having hematologic disorders. It is plausible that transfer of ARCH from a donor to the recipient following allogeneic hematopoietic stem cell transplantation (HCT) results in delayed engraftment, thus increasing the risk of non-relapse mortality (NRM). A recent study reported that the presence of ARCH in the donor is associated with increasing risk of chronic graft-versus-host disease (GVHD) and reduced risk of relapse after allogeneic HCT (JCO 2018). However, detailed analyses are lacking with respect to engraftment, the severity of GVHD, organ-specific GVHD. The present study aimed to assess the impact of donor ARCH on HCT outcomes regarding overall and each organ-specific acute/chronic GVHD as well as engraftment kinetics. Methods and patients: The present study includes 372 pairs of donors and/or recipients who received HCT from 2000 till 2007. Genomic DNA samples were archived from the samples taken prior to HCT. For barcoded error-corrected sequencing, a molecular inversion probe capture protocol was modified and applied (Gen. Research 2013). In short, we designed probes targeting 33 genes covering ARCH mutations along with other AML related mutations. Barcoded NGS library was generated and processed. Following sequencing (NovaSeq, Illumina) with 150 bp pair-end mode, the analysis was performed using a customized computational pipeline. Recipients and transplant characteristics are as following: male/female (n=223/149); median age, 48 yrs; conditioning regimen, reduced-intensity conditioning (RIC, n=105)/myeloablative conditioning (MAC; n=267). Median age of donors was 48 yrs. Transplant outcomes were analyzed according to the presence of ARCH in the donor in terms of overall survival (OS), NRM, relapse incidence (RI), overall acute and chronic GVHD as well as organ-specific incidences of GVHD. Engraftment parameters such as neutrophil and platelet recovery were also analyzed. Results: 30 mutations were detected in 25 donor samples (6.7%). Consistent with previous studies, the most frequently mutated gene was DNMT3A (n=10/25, 40%). The median variant allele frequency (VAF) for 30 mutations in donor was 1.18% (ranges, 0.57%-13.29%). With respect to the presence or absence of ARCH in donors, there were no significant differences in baseline and transplant characteristics such as age, sex, conditioning regimen (RIC vs MAC), GVHD prophylaxis. The presence of ARCH in donor also did not show any difference in OS (p=0.66, HR 0.86 [0.44-1.68]), RI (p=0.71, HR 0.83 [0.31-2.21]) or NRM (p=0.7, HR 1.16 [0.54-2.51]). With respect to the engraftment, the median time to neutrophil (defined as ≥0.5x109/L) and platelet engraftment (≥20x109/L with transfusion independence) was not associated with the presence of donor ARCH. Neutrophil engraftment rate was 88.0% in ARCH and 91.6% in the non-ARCH group at day 30 with a median time of 18 days and 19 days (p=0.45). The median time to platelet engraftment was 15 days both in ARCH and in the non-ARCH group (p=0.43). In terms of GVHD, donor ARCH status did not affect incidences of aGVHD/cGVHD. Incidence of grade II to IV acute GVHD at day 100 was 69.9% and 66.2% in the ARCH and non-ARCH group (p=0.94). There were no differences between the two groups in organ-specific aGVHD of the skin (p=0.23), liver (p=0.98) or gut involvement (p=0.48). The cumulative incidence of chronic GVHD (based on the NIH consensus criteria) was 58.3% in ARCH and 58.6% in the non-ARCH group (p=0.80). No differences were noted in the severity of cGVHD between the 2 groups (p=0.87). No differences in organ-specific cGVHD were also noted for the ocular, oral, skin, liver, GI, lung or musculoskeletal involvement. Multivariate analyses confirmed that the donor ARCH was not significantly associated with survival, a/cGVHD and, engraftment after allogeneic HCT. Conclusion: The presence of ARCH in the donor does not affect the mortality, relapse or engraftment following allogeneic HCT. Our data suggest that donor ARCH has no apparent association with HCT outcomes, although there was a concern on the presence of ARCH in the donor's HSCs and its transfer through allogeneic HCT. It also does not seem to delay engraftment or increase the risk of non-relapse mortality following allogeneic HCT. Figure Disclosures Michelis: CSL Behring: Other: Financial Support. Mattsson:Gilead: Honoraria; Therakos: Honoraria; Celgene: Honoraria.

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: Observational · Consensus signal: Observational
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 head0.017
GPT teacher head0.239
Teacher spread0.221 · 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".

Quick stats

Citations1
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueBlood→Same topicCancer Genomics and Diagnostics→French-language works237,207→