Bispecific antibody targeting of doxorubicin to carcinoembryonic antigen-expressing colon cancer cell linesin vitro andin vivo
Bibliographic record
Abstract
A bispecific monoclonal antibody (BsMAb) recognising carcinoembryonic antigen (CEA) and doxorubicin (Dox) was used in colorimetric microcytotoxicity assays with 3 human colon cancer cell lines (COLO320DM, SKCO1 and LS174T) showing no, high or medium CEA expression, respectively. The IC50 values for Dox with COLO320DM, SKCO1 and LS174T were 1,163, 28.5 and 324 ng/ml, respectively. BsMAb caused statistically significant reductions in Dox IC50 values at 1, 0.1 and 0.01 microg/ml with the CEA-expressing cell lines SKCO1 and LS174T but not with COLO320DM. BsMAb or control antibody alone had no significant effect on the cell viability of any of the cell lines and did not reduce Dox IC50 values. In vivo, there was a statistically significant inhibition of the growth of CEA-expressing LS174T cells growing as xenografts in nude mice treated with BsMAb and Dox compared to control mice. This effect was not seen with COLO320DM xenografts. Our results demonstrate that a BsMAb that recognises CEA and Dox can reduce the IC50 for Dox in vitro and inhibit growth in vivo in a CEA-specific manner.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".