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Record W1581334302 · doi:10.3233/cbm-2009-0102

Cancer cell expressions of immunoglobulin heavy chains with unique carbohydrate-associated biomarker

2009· article· en· W1581334302 on OpenAlexafffund
Gregory Lee, Bixia Ge

Bibliographic record

VenueCancer Biomarkers · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGlycosylation and Glycoproteins Research
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiomarkerAntibodyCancerCancer researchComputational biologyImmunologyMedicineBiologyInternal medicineBiochemistry

Abstract

fetched live from OpenAlex

OC-3-VGH ovarian cancer cell line and numerous others from different human tissue origins were studied for their respective expressions of immunoglobulins as well as carbohydrate-associated epitope(s) recognized by RP215 monoclonal antibody. With no exceptions, all the cancer cell lines studied so far express human immunoglobulin G (IgG) heavy chains when determined by Western blot or nested RT-PCR with appropriate primers in the constant region. By Western blot assay, it was also shown that greater than 90% of cancer cell lines expressed RP215-specific epitope(s) on the detected heavy chain molecules. Further studies with OC-3-VGH cancer cells revealed the expressions of all immunoglobulin classes, subclasses, heavy as well as light chains. The primary structure of the IgG heavy chains expressed by single cloned cells of this cancer cell line was elucidated. It was shown to be homologous to that of normal human IgG1 heavy chain derived from B cells, except with high content of serine/threonine residues in the variable region. Expressions of other immunoglobulin-related genes were also detected. Widespread expressions of immunoglobulin heavy chains among cancer cells as well as the frequent presence of unique carbohydrate-associated epitope(s) recognized by RP215 monoclonal antibody might have important biological implications during carcinogenesis and applications in immunodiagnostics and antibody-based anti-cancer drug developments.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.784

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)0.0000.000

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 head0.014
GPT teacher head0.292
Teacher spread0.278 · 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

Citations64
Published2009
Admission routes2
Has abstractyes

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