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Record W4389229286 · doi:10.1182/blood-2023-189928

CD34+ Megakaryocytes Associate with Myelodysplastic Syndromes and Related Cytogenetic Abnormalities, but Not Other Hematological Disorders

2023· article· en· W4389229286 on OpenAlexaffabout
Mark Trinder, Eric McGinnis

Bibliographic record

VenueBlood · 2023
Typearticle
Languageen
FieldMedicine
TopicHematological disorders and diagnostics
Canadian institutionsVancouver General HospitalUniversity of British Columbia
Fundersnot available
KeywordsCD34Bone marrowHaematopoiesisMyelodysplastic syndromesPathologyMyeloidMegakaryocyteStem cellMyeloproliferative DisordersMedicineBiologyImmunology

Abstract

fetched live from OpenAlex

Background: CD34 is a transmembrane phosphoglycoprotein that is a marker of hematopoietic stem cells and is used clinically to aid in enumeration of blast cells for identification of advanced myeloid neoplasms. Megakaryocytes are differentiated cells from the myeloid lineage that reside in the bone marrow and generally stain negative for CD34 (CD34-). However, CD34 positive (CD34+) megakaryocytes have been observed in hematological disorders such as myelodysplastic syndrome, myeloproliferative neoplasms, and acute leukemias. CD34+ megakaryocytes are proposed to be relatively specific for malignant hematologic conditions and have been reported to associate with a worse prognosis. However, the general clinical, biochemical, and cytogenic characteristics for bone marrow cases of CD34+ megakaryocytes versus CD34- megakaryocytes remains unclear. Objective: We sought to determine the clinical, biochemical, and cytogenetic characteristics associated with finding CD34+ megakaryocytes on bone marrow biopsies. Methods: We identified 281 independent, index bone marrow biopsy cases between 2011-01-01 and 2017-12-31 from Vancouver General Hospital, Canada that underwent CD34 immunohistochemistry at clinical request. The clinical, biochemical, and cytogenetic characteristics of patients were compared based on megakaryocytes being CD34+ vs CD34- on immunohistochemistry. Cases of CD34+ megakaryocytes were defined as having >5% of megakaryocytes staining CD34+, but sensitivity analyses were performed using different percentage cut-offs of 10, 30, and 50%. Results: Out of 281 cases, 134 had CD34+ megakaryocytes (58.2% male sex; mean age = 64.1 years [SD = 15.2 years]) and 147 had CD34- megakaryocytes (57.1% male sex; mean age = 60.0 years [SD = 16.6 years]). There was a significant difference in the distribution of diagnostic categories observed between cases of CD34+ versus CD34- megakaryocytes: myelodysplastic syndromes 35.1% (n=47) versus 21.8% (n=32), acute myeloid leukemias 20.9% (n=28) versus 21.1% (n=31), non-diagnostic etiology 17.9% (n=24) versus 14.3% (n=21), and myeloproliferative neoplasms 10.4% (n=14) versus 19.7% (n=29) (Figure A; Chi-square p-value=0.0004). Sensitivity analyses using different percentage cut-offs to define cases of CD34+ from CD34- megakaryocytes yielded similar results. The differences in biochemical characteristics between cases of CD34+ versus CD34- megakaryocytes were generally unremarkable. The median (IQR) for biochemical parameters between cases of CD34+ and CD34- megakaryocytes were hemoglobin 99 (28) versus 100 (34) g/L, mean corpuscular volume 94 (14) versus 93 (10) fL, neutrophil count 2.20 (3.68) versus 2.46 (3.63) x10 9/L, platelet count 98 (158) versus 112 (194) x10 9/L, and bone marrow blasts 7 (4) versus 3 (14)%. Lastly, there were notable trends in cytogenetic results associated with 90 cases with CD34+ versus 84 cases with CD34- megakaryocytes including: complex karyotypes for 15.6% (n=14) versus 6.0% (n=5), isolated deletion 5q for 7.8% (n=7) versus 1.2% (n=1), and/or isolated trisomy 8 for 5.6% (n=5) versus 2.4% (n=2). Similar cytogenetic results were observed when cases were restricted to only cases of CD34+ versus CD34- megakaryocytes with a diagnosis of myelodysplastic syndrome (Figure B). Conclusion: The presence of CD34+ megakaryocytes is more common in cases of myelodysplastic syndrome relative to other neoplastic hematologic disorders, but does not appear to help with discriminating between neoplastic and non-neoplastic hematological disorders ( e.g. non-diagnostic etiology). Cases with CD34+ megakaryocytes tend to associate with complex karyotype and deletion 5q abnormalities relative to cases with CD34- megakaryocytes.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.022
Threshold uncertainty score0.701

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.242
Teacher spread0.224 · 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 teacher head, 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
Published2023
Admission routes2
Has abstractyes

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