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Record W2980250177 · doi:10.1182/blood.v104.11.526.526

Detection of T-Cells Specific for Leukemia-Associated Antigens in Pediatric Patients with Acute Lymphoblastic Leukemia in First Complete Remission.

2004· article· en· W2980250177 on OpenAlexaff
Draga Barbaric, Soudabeh Aslanian, Hiromi Shimizu, Kirk R. Schultz, Gregor S. D. Reid

Bibliographic record

VenueBlood · 2004
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsBC Children's HospitalUniversity of British Columbia
Fundersnot available
KeywordsImmunologyELISPOTHuman leukocyte antigenLeukemiaImmune systemAntigenHematopoietic stem cell transplantationMedicineEpitopeTransplantationT cellBiologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract The ability of allogeneic hematopoietic stem cell transplantation to cure leukemia provides compelling evidence that the human immune system is able to mediate an effective anti-tumor effect and, as such, provides a rationale for the development of immune-mediated therapies for this disease. To design such therapies, it is necessary to identify both suitable target antigens and also the disease stages at which immune mechanisms are effective. One promising candidate antigen is the Wilms’ tumor 1 (WT1) protein which is over-expressed, relative to normal hematopoietic progenitors, by most adult and pediatric leukemias. In this study, we investigated whether T-cells specific for a dominant WT1 epitope could be detected in pediatric patients with acute lymphoblastic leukemia (ALL) in complete remission (CR) following treatment with conventional chemotherapy alone. After informed consent, peripheral blood was obtained from 20 HLA-A*0201 positive children with ALL and from 3 HLA-A*0201 positive children with chemotherapy-treated, non-hematologic malignancies. All patients had completed therapy and were in CR. Blood was also obtained from 11 HLA-A*0201 positive healthy volunteers. Interferon-g (IFN-g) production by peripheral blood T-cells specific for the WT1-derived HLA-A*0201 binding peptide RMFPNAPYL was detected using the enzyme-linked immunospot (ELISPOT) assay. A mixture of HLA-A*0201 restricted immunodominant influenza, cytomegalovirus, and Epstein-Barr virus epitopes was used as a positive control. Absence of peptide was used as a negative control. IFN-g production in response to the WT1 peptide antigen was observed in 7/20 (35%) ALL patients, of which 4/7 had spots detected in wells containing 1 x 106 PBMC’s and 3/7 had spots detected in wells containing 0.25 x 106 PBMC’s. All samples secreted IFN-g in response to the positive control peptide mix. No IFN-g production was detected in the absence of peptide. All ALL patients in whom a WT1 response was detected were 2.5 – 5 years following therapy completion. Of the 13 ALL patients with no WT1 response, 6/13 were less than 2 years and 5/13 greater than 5.5 years following therapy completion. All other clinical and biologic features were evenly distributed between those with and without a WT1 response. No response to WT1 was observed in any of the three patients with non-hematologic malignancies, all of whom were 1.9–5.2 years following therapy completion, or in any of the healthy volunteers. T-cell responses to the WT1 leukemia-associated antigen can develop in pediatric patients with ALL. The generation of this specific T-cell population requires the presence of WT1 protein over-expressing leukemic cells, as indicated by the results from our control groups and in agreement with previous reports. This is the first study to report the development of T-cells specific for leukemia-associated antigens in pediatric patients with ALL treated with conventional chemotherapy alone. The findings suggest that tumor antigen specific T-cells may play a role in the maintenance of CR and that WT1 is an appropriate target for the development of immune-mediated therapies for pediatric ALL.

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 score0.004

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 head0.012
GPT teacher head0.230
Teacher spread0.218 · 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

Citations2
Published2004
Admission routes1
Has abstractyes

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