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Record W2107894271 · doi:10.4049/jimmunol.1001323

CD20+ B Cells: The Other Tumor-Infiltrating Lymphocytes

2010· review· en· W2107894271 on OpenAlexaff
Brad H. Nelson

Bibliographic record

VenueThe Journal of Immunology · 2010
Typereview
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsUniversity of VictoriaUniversity of British ColumbiaBC Cancer Agency
Fundersnot available
KeywordsImmune systemCD20CD8ChemokineImmunologyCytotoxic T cellBiologyAntigen-presenting cellT cellCancer researchLymphomaIn vitro

Abstract

fetched live from OpenAlex

Tumor-infiltrating CD8(+) T cells are strongly associated with patient survival in a wide variety of human cancers. Less is known about tumor-infiltrating CD20(+) B cells, which often colocalize with T cells, sometimes forming organized lymphoid structures. In autoimmunity and organ transplantation, T cells and B cells collaborate to generate potent, unrelenting immune responses that can result in extensive tissue damage and organ rejection. In these settings, B cells enhance T cell responses by producing Abs, stimulatory cytokines, and chemokines, serving as local APCs, and organizing the formation of tertiary lymphoid structures that sustain long-term immunity. Thus, B cells are an important component of immunological circuits associated with persistent, rampant tissue destruction. Engagement of tumor-reactive B cells may be an important condition for generating potent, long-term T cell responses against cancer.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.008

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 head0.023
GPT teacher head0.274
Teacher spread0.251 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations412
Published2010
Admission routes1
Has abstractyes

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