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Record W3215189460 · doi:10.1182/blood-2021-151023

Clinical Characteristics and Outcomes of Patients Diagnosed with Acute Myeloid Leukemia with Expression of CD71

2021· article· en· W3215189460 on OpenAlexaboutno aff
Daniel Rivera, Yesid Alvarado, Guillermo Garcia‐Manero, G. Borthakur, Hagop M. Kantarjian, Sergej Konoplev

Bibliographic record

VenueBlood · 2021
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsnot available
Fundersnot available
KeywordsTransferrin receptorMyeloid leukemiaMedicineBone marrowMyeloidLeukemiaInduction chemotherapyInternal medicineImmunologyChemotherapyTransferrin

Abstract

fetched live from OpenAlex

Abstract Introduction Acute myeloid leukemia (AML) is a clonal hematologic malignancy characterized by the proliferation and accumulation of blasts in the bone marrow (BM) which results in hematopoietic failure. Transferrin receptor (CD71) plays an important role by up-taking iron into the cell, and its expression is regulated by cellular iron levels. Recently, CD71 has emerged as a sensitive and specific marker of cell proliferation in solid tumors. The clinical significance of CD71 expression in AML remains unclear. Current efforts are also exploring its potential as a therapeutic target in AML. We aimed to describe the clinical characteristics and outcomes of patients diagnosed with de novo AML who expressed CD71. Methods We conducted a retrospective analysis of 453 patients with newly diagnosed AML that came to our institution from December 2019 to June 2021 in whom CD71 antibody was available at diagnosis. CD71 expression was assessed by flow cytometry immunophenotypic studies performed using bone marrow aspirate specimens at presentation. For each analysis, a minimum of 200,000 events was acquired on FACSCanto II instruments (8-color and 10-color, BD Biosciences). The CD45 dim-blast region including monocytes based on CD45 / side scatter was analyzed. The antibody panel included 5 tubes; CD71 antibody was included in tube 3, which contains the following antigen combination: CD41/CD71/CD56/CD34/CD64/HLA-DR/CD14/CD45. The neoplasm was CD71-positive if at least 20% of blasts demonstrated CD71 expression. Additionally, frontline treatment was categorized into intensive chemotherapy (HiDAC based), and Low-Intensity regimen (double nucleoside analog or hypomethylating agent-based therapies). Outcomes in terms of survival and treatment response were analyzed and reported by age, ELN risk groups (Favorable, Intermediate, and Adverse), and the presence of somatic mutations. Results Baseline characteristics are detailed in table 1. We identified 359 (79%) patients diagnosed with AML in whom CD71 was expressed. Our study focused on 184 (41%) patients diagnosed with previously untreated de novo AML, the median age was 63 years (IQR 50-73). Fifty-seven percent of patients were male. Median hemoglobin and platelet counts were 8.2 g/dL and 40 x10 9/L, respectively. The Median BM blast percentage was 54%, among these patients, there was a higher representation of patients with adverse risk features when compared with the intermediate and favorable group (50%, 34%, and 16% respectively). The molecular landscape of our population showed higher representation of RAS (25%), DMNT3A (23%), TP53 (21%), WT1 (21%), NPM1 (20%), FLT3-ITD (16%), and IDH2 (15%), figure 1. Frontline treatment information was available on 108 patients, of these, 43% were treated with intensive chemotherapy, while 57% of patients were treated with a low-intensity regimen. In terms of outcomes, with a median follow-up time of 6 months, the median overall survival of the whole patient cohort was 9 months (95% CI: 4.3-13.6). Patients aged more than 60 years showed inferior OS compared to younger patients (6 vs. 14 months; p=0.059), respectively, figure 2. Among patients with adverse risk features, the median OS was 5 months (95% CI: 3-6.9, p=0.068) versus those with intermediate (12 months) and favorable risk features (16 months), figure 3. Next, among the somatic mutations with higher representation with known prognostic impact, patients with TP53 mutated showed a significantly inferior OS compared to those with wild type (median 4 vs. 12 months, p=0.006) respectively, figure 4. Patients treated with intensive chemotherapy showed a trend to higher ORR versus low-intensity regimen (89% vs. 74% respectively, p=0.051). Similarly, CR/CRi rates were higher among those treated with intensive chemotherapy compared to those with a low-intensity regimen (85% vs. 70% respectively, p=0.106), figure 5. Conclusion Acute myeloid leukemia is an aggressive hematologic malignancy with a heterogeneous nature. CD71 expression appears to be a common event and was identified in up to 40% of de novo AML cases in our institution. Its expression appears to be associated with cytopenias in addition to the presence of molecular abnormalities commonly associated with an adverse prognosis. Its clinical significance, applicability as a diagnostic marker, and potential as a therapeutic target in AML need to be fully elucidated. Figure 1 Figure 1. Disclosures Alvarado: Astex Pharmaceuticals: Research Funding; Jazz Pharmaceuticals: Research Funding; BerGenBio: Research Funding; CytomX Therapeutics: Consultancy; MEI Pharma: Research Funding; Daiichi-Sankyo: Research Funding; FibroGen: Research Funding; Sun Pharma: Consultancy, Research Funding. Kantarjian: Immunogen: Research Funding; Astra Zeneca: Honoraria; Ipsen Pharmaceuticals: Honoraria; Jazz: Research Funding; Amgen: Honoraria, Research Funding; Astellas Health: Honoraria; Aptitude Health: Honoraria; Novartis: Honoraria, Research Funding; KAHR Medical Ltd: Honoraria; NOVA Research: Honoraria; BMS: Research Funding; Ascentage: Research Funding; AbbVie: Honoraria, Research Funding; Daiichi-Sankyo: Research Funding; Pfizer: Honoraria, Research Funding; Precision Biosciences: Honoraria; Taiho Pharmaceutical Canada: 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)0.001
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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.016
GPT teacher head0.300
Teacher spread0.284 · 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
Published2021
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