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Record W2063207072 · doi:10.3109/10428194.2012.742522

Abundant expression of interleukin-21 receptor in follicular lymphoma cells is associated with more aggressive disease

2012· article· en· W2063207072 on OpenAlexaff
Brianne Wood, Soma Sikdar, Suk Jin Choi, Shakeel Virk, Abdulmohsen Alhejaily, Tara Baetz, David P. LeBrun

Bibliographic record

VenueLeukemia & lymphoma/Leukemia and lymphoma · 2012
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsKingston General HospitalQueen's University
Fundersnot available
KeywordsFollicular lymphomaLymphomaCancer researchCytokineImmunohistochemistryInterleukin 9InterleukinReceptorBiopsyPathologyBiologyMedicineImmunologyInternal medicine

Abstract

fetched live from OpenAlex

Recombinant interleukin-21 (IL-21) has potential utility in cancer therapy. Stimulation with IL-21 can induce apoptosis in follicular lymphoma (FL) cells, and existing studies have suggested that IL-21 signaling may function in tumor suppression. In order to elucidate the relationship between IL-21 receptor (IL-21R) expression and clinical and pathological features in FL, IL-21R was quantified in 114 pretreatment biopsy samples using either conventional immunohistochemistry or immunofluorescence microscopy and automated quantitative analysis (AQUA). Reduced expression of IL-21R was associated with favorable overall survival (p = 0.048). AQUA analysis showed an association with the presence of diffuse large B-cell lymphoma (DLBCL) in the biopsy sample (p = 0.03), and expression of IL-21R was up-regulated upon transformation of FL to DLBCL in two cases. Our results based on the largest survey to date raise the possibility that IL-21 signaling in FL cells, rather than being tumor suppressive, supports tumor progression and that therapeutic benefit could be realized by blocking IL-21R instead of stimulating it.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.172
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.000
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 head0.009
GPT teacher head0.234
Teacher spread0.226 · 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.

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

Citations31
Published2012
Admission routes1
Has abstractyes

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