Carbohydrate-associated epitope-based anti-cancer drugs and vaccines
Bibliographic record
Abstract
RP215 is one of the three thousand monoclonal antibodies (Mabs) which were generated against the OC-3-VGH ovarian cancer cell line. RP215 was shown to react with a carbohydrate-associated epitope located specifically on glycoproteins, known as CA215, from cancer cells. Further molecular analysis by matrix adsorption laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) revealed that CA215 consists mainly of immunoglobulin super-family (IgSF) proteins, including immunoglobulins, T-cell receptors, and cell adhesion molecules, as well as several other unrelated proteins. Peptide mappings and glycoanalysis were performed with CA215 and revealed high-mannose and complex bisecting structures with terminal sialic acid in N-glycans. As many as ten O-glycans, which are structurally similar to those of mucins, were also identified. In addition, two additional O-linked glycans were exclusively detected in cancerous immunoglobulins but not in normal B cell-derived immunoglobulins. Immunizations of mice with purified CA215 resulted in the predominant generation of RP215-related Mabs, indicating the immunodominance of this carbohydrate-associated epitope. Anti-idiotype (anti-id) Mabs of RP215, which were generated in the rat, were shown to contain the internal images of the carbohydrate-associated epitope. Following immunizations of these anti-id Mabs in mice, the resulting anti-anti-id (Ab3) responses in mice were found to be immunologically similar to that of RP215. Judging from these observations, anti-id Mabs, which carry the internal image of the RP215-specific epitope, may be suitable candidates for anticancer 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".