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Record W2043959280 · doi:10.1159/000224980

Mixed Leucocyte Culture Blocking Factor Activity in the Plasma of Patients with Cancer

2009· article· en· W2043959280 on OpenAlexaff
D. H. Copeland, D.P.S. Sengar, Abdur Rashid, L. Perelmutter, Thomas Stewart, Jules E. Harris

Bibliographic record

VenueOncology · 2009
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsMedicineLymphocyteBlocking antibodyDiseaseAntibodyCancerImmunologyInternal medicinePregnancyOncologyGastroenterologyBiology

Abstract

fetched live from OpenAlex

Plasma samples obtained from 74 patients with malignant disease were assayed for their ability to suppress or block the mixed lymphocyte reactivity of random normal donors. 24 of the 74 patients investigated had evidence of mixed lymphocyte culture blocking factoractivity (MLC-BFA). 19 of 33 patients with disseminated disease had evidence of MLD-BFA whereas in only 5 of 41 patients with localized disease was evidence of BFA found. There was a relationship between a history of previous blood transfusion inthe 6-month period prior to study and the presence of MLC-BFA in patients' plasma. Excluding this group of patients, where previous transfusion might have been responsible for MLC-BFA and excluding, too, that group of patients with a history of past pregnancy,there remained still 11 patients with evidence of BFA in their plasma. Nine of these11 had widely disseminated and progressiv disease. MLC-BFA was found in both IgM and IgG fractions of plasma. Plasma with MLC-BFA was found to suppress normalin vitro lymphocyte responses to mitogens PWM and PHA. The MLC-BFA assay utilized in this work may provide the means of monitoring cancer patients in order to detect 'blocking' antibody.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.587
Threshold uncertainty score0.555

Codex and Gemma teacher scores by category

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 head0.018
GPT teacher head0.262
Teacher spread0.244 · 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 designBench or experimental
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

Citations7
Published2009
Admission routes1
Has abstractyes

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