Investigation of peptomimetics of GD2 antibodies as targeted therapy against human small cell lung cancer in-vitro
Bibliographic record
Abstract
13128 Background: GD2 is a well-established target that has been validated for neuroblastoma and small cell lung cancer. The therapeutic and diagnostic use of monoclonal antibodies directed to GD2 in small cell lung cancer is well documented. It has been shown that the binding of GD2 monoclonal antibodies alone can induce growth suppression and cell death of small cell lung cancer cells in-vitro. Our laboratory has developed synthetic small molecule peptomimetics as ligands of GD2. Peptomimetics have favorable in-vivo pharmacological properties compared to antibodies with no immunogenicity, longer half-lives, low toxicity, good tissue penetration, biodistribution and high target selectivity. This study proposed to determine the efficacy of peptomimetics of GD2 antibodies against small cell lung cancer cells in-vitro. Methods: 2 human cell lines were studied. H69 is a classic small cell lung cancer and H82 is a morphological variant small cell lung cancer both of which have been reported in the literature to express GD2. Cell surface expression of ganglioside GD2 was analyzed by flow cytometry (FACScan, BD Biosciences) using GD2 mAB 3F8 and GD2 mAB ME361. Cell proliferation was assessed using standard MTT assays with serum containing medium and cultured for approximately 3 doubling times for each cell line. The cell lines were exposed to increasing doses of GD2 specific peptomimetic to a maximum of 25 uM with controls including serum containing media with and without a GD2 negative peptomimetic and assessed for cell proliferation. Results: GD2 expression was confirmed for both cell lines- H69 and H82 using FACs. Exposure of the GD2 specific peptomimetic clearly caused growth suppression on the range of 35–40% when compared to controls. A dose response relationship was demonstrated with a plateau beyond 10 uM concentrations. Each experiment repeated ≥ 3 occasions. Conclusions: We have shown that attachment of GD2 specific peptomimetics can cause decreased cell proliferation in 2 small cell lung cancer cell lines H69 and H82. We have shown that there is a dose response relationship by which these compounds reduce cell viability. Peptomimetics of GD2 antibodies show promise as a targeted therapy for small cell lung cancer in-vitro and warrant further study. [Table: see text]
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 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".