Construction and Evaluation of the Tumor Imaging Properties of<sup>123</sup>I-Labeled Recombinant and Enzymatically Generated Fab Fragments of the TAG-72 Monoclonal Antibody CC49
Bibliographic record
Abstract
Tumor-associated glycoprotein-72 (TAG-72) is overexpressed in a high percentage of epithelial cancers and has proven useful as a target for imaging and targeted radiotherapy. Our goal was to express a recombinant Fab (rFab) of the TAG-72 monoclonal antibody CC49 in Pichia pastoris and directly compare its tumor and normal tissue uptake and imaging properties with enzymatically generated Fab (eFab). In this study, the genes coding for CC49 Fab were cloned from hybridoma cells and expressed in P. pastoris. Fab was purified to homogeneity and its immunoreactivity toward bovine submaxillary mucin (TAG-72) confirmed by ELISA. The tumor and normal tissue localization of (123)I-CC49 rFab and eFab were compared in athymic mice bearing s.c. LS174T colon cancer or TAG-72-negative A375 melanoma xenografts. Results showed that pure and immunoreactive rFab of CC49 was produced and labeled with (123)I. At 24 h post i.v. injection (p.i.), tumor uptake for (123)I-rFab in LS174T xenografts was 6.0% ID/g which was 18-fold higher than in A375 tumors. Tumor-to-normal tissue ratios increased between 2 and 24 h and exceeded 5:1 at 24 h p.i. of (123)I-rFab. (123)I-rFab exhibited significantly lower liver uptake at 12 h p.i. and lower kidney uptake at 2 h p.i. than (123)I-eFab. LS174T tumors were imaged as early as 2 h after administration of (123)I-rFab. We conclude that CC49 rFab can be produced in a P. pastoris host system and accumulated at comparable levels as eFab in LS174T colon cancer xenografts in mice. The lower liver uptake of (123)I-rFab as compared with eFab suggests that it may be more useful for imaging liver lesions. No major effect, except for kidneys and liver, was observed on tumor and normal tissue uptake due to introduction of hexahistidine and FLAG affinity tags or peptide linkers in the scaffold of rFab.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".