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Record W2587781085 · doi:10.1182/blood.v128.22.987.987

Donor Chip Causes Donor-Derived Clonal Hematopoiesis As an Early Complication of Allogeneic Stem Cell Transplantation

2016· article· en· W2587781085 on OpenAlexaff
Christopher J. Gibson, James A. Kennedy, Sarah Nikiforow, John E. Dick, Jerome Ritz, Robert J. Soiffer, Joseph H. Antin, R. Coleman Lindsley

Bibliographic record

VenueBlood · 2016
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsUniversity Health NetworkUniversity of Toronto
Fundersnot available
KeywordsStem cellTransplantationHaematopoiesisHematopoietic stem cell transplantationImmunologyLeukemiaMyeloid leukemiaMyeloidMedicineBiologyCancer researchInternal medicineGenetics

Abstract

fetched live from OpenAlex

Background Allogeneic stem cell transplantation (HSCT) involves the transfer of healthy donor hematopoietic cells, including hematopoietic stem cells (HSCs) and mature immune effector cells, to recipients with high-risk hematologic malignancies. The success of HSCT is fundamentally dependent on engraftment of normal donor-derived hematopoiesis. Rarely, donor-derived cells undergo transformation to myeloid leukemia as a late complication of HSCT (donor cell leukemia, DCL), a process linked in some cases to pre-existing mutations in donor hematopoietic stem cells (HSCs). In healthy older adults, HSC mutations can cause clonal hematopoiesis of indeterminate potential (CHIP), which is associated with increased risk of hematologic malignancy and an increased risk of all-cause mortality. Among donors over age 40, the frequency of donor CHIP can be estimated to be 5 to 20-fold higher than the frequency of donor cell leukemia, suggesting that non-leukemic endpoints of donor derived clonality may be more prevalent and consequential than previously recognized. Methods We performed targeted next generation sequencing in patients who developed peripheral cytopenias or myeloid neoplasms in the context of 100% donor cell chimerism after allogeneic HSCT. We also prospectively sequenced potential donors who had abnormal CBC parameters, including WBC differential and RBC indices. To determine whether the mutations detected in recipients were of donor derivation, and to assess clonal evolution over time, we performed ultra-deep genotyping at 30,000-100,000X or droplet digital PCR (ddPCR) in the donor stem cell product and serial post-SCT samples. Results We identified four allogeneic SCT recipients with 100% chimerism who met inclusion criteria, two with late-onset hematologic malignancy (latency 23 and 10 years) and two with progressive cytopenias but no evidence of hematologic malignancy on bone marrow examination (latency 18 and 13 months). In each of these patients, sequencing of bone marrow or peripheral blood specimens revealed at least one somatic mutation (SF3B1 K666Q; U2AF1 S34F; DNMT3A T868N; DNMT3A Q356X) that could be used to assess the possibility of donor derivation. In all patients, we identified at least one mutation present in both the diagnostic post-HSCT recipient sample and the pre-HSCT banked donor stem cell product. Figure 1 shows post-HSCT clonal evolution from one case. In another case, we evaluated contemporaneous samples from the donor and recipient obtained at the time of diagnosis of DCL in the recipient (23 years after HSCT). We identified two key findings: 1) a shared SF3B1 K666 mutation in donor and recipient, and 2) divergent clonal evolution, with ASXL1 C789X in the donor, and ASXL1 G642fs, SETBP1 D868N, and SUZ12 D605E in the recipient (Figure 2). In this context, the recipient had a morphologic diagnosis of MDS/MPN overlap, while the donor had abnormal RBC indices but no cytopenias. Since CHIP is associated with subtle abnormalities in hematologic parameters even in the absence of overt cytopenias, we evaluated potential donors with non-exclusionary CBC abnormalities, such as abnormal white blood cell differential or elevated MCV. In two cases, we prospectively identified DNMT3A mutations (R736Cand R882H, variant allele fractions 11.5% and 2%, respectively), consistent with donor CHIP. In one case, the donor with CHIP was used for transplantation. At 90 days after HSCT, donor cell chimerism was 99%; sequencing of recipient peripheral blood revealed the donor-derived DNMT3A mutation and the recipient remained persistently anemic, macrocytic, and thrombocytopenic. Conclusion We identified healthy stem cell donors with clonal hematopoiesis, marked by mutations in canonical genetic drivers of myeloid malignancies. In each instance, the aberrant clone engrafted in the transplant recipient, underwent selective expansion, and caused development of abnormal hematopoietic function. Our findings suggest that donor-derived clonal hematopoiesis may be common, especially in grafts from older donors, and that donor CHIP may confer an unrecognized and increased risk of leukemic and non-leukemic endpoints. We further demonstrate that donor CHIP can be identified prospectively, thus highlighting an emerging challenge in HSCT that may influence donor selection strategies as the clinical significance of donor CHIP is systematically elucidated. Disclosures Ritz: Kiadis: Membership on an entity's Board of Directors or advisory committees. Soiffer:Juno: Membership on an entity's Board of Directors or advisory committees; Kiadis: Membership on an entity's Board of Directors or advisory committees; Jazz Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees. Lindsley:MedImmune: Research Funding; Takeda Pharmaceuticals: Consultancy.

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 score0.001
Threshold uncertainty score0.003

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 communication0.0000.000
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 head0.026
GPT teacher head0.279
Teacher spread0.253 · 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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Citations1
Published2016
Admission routes1
Has abstractyes

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