Monoclonal Anti-idiotype Antibodies against Carbohydrateassociate Epitope for Anti-Cancer Vaccine Development
Bibliographic record
Abstract
Background: RP215 monoclonal antibody (Mab) was shown to react specifically with the unique carbohydrateassociated epitope located in the variable regions of cancer cell-expressed immunoglobulins known as CA215.This Mab was shown to inhibit the growth of a variety of cancer cells in vitro or in vivo.Anti-idiotype (anti-id) Mabs against RP215 were generated and characterized for future development of epitope-specific anti-cancer vaccines in humans.Results: Following successful immunization of rats with F(ab') 2 fragments of RP215, rat anti-id Mabs were established for biochemical and immunological characterization.Subsequent immunizations of mice with purified rat anti-id Mab revealed significant anti-anti-id antibody (Ab3) responses.In immunohistochemical studies, both Ab3 and RP215 reacted positively with various cancer cells lines and with comparable staining intensities.Both RP215 and Ab3 inhibited significantly the growth of cancer cells in vitro by means of TUNEL assay.To document that the RP215-specific epitope is carbohydrate-associated, the absence of RP215-epitope expressions upon culturing of cancer cells in serumfree medium was demonstrated.Experiments confirmed that the expression of RP215-specific epitope was dependent on the presence of carbohydrate precursors in culture media.Conclusion: Judging from these observations, anti-id Mabs which carry the internal image of RP215-specific carbohydrate-associated epitope can be suitable candidates for anti-cancer vaccine development in humans.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".