Abstract A150: Effects of radioimmunotherapy on human and canine osteosarcoma microenvironment
Bibliographic record
Abstract
Abstract Introduction: Osteosarcoma (OS) is a type of primary bone cancer that predominantly affects children and adolescents with an unacceptably high mortality rate of 30% within 5 years of diagnosis. Though several treatment options including radiotherapy, chemotherapy, and amputation surgery exist, these are either ineffective or very invasive. Also, no significant advancements in treatment options have occurred in the last 30 years. The incidence of OS among companion dogs is much higher than in humans and phenotypically OS is very similar between humans and canines. We are using a comparative oncology approach to OS treatment by developing radioimmunotherapy (RIT) which targets the insulin-like growth factor receptor type 2 (IGF2R) on OS cells. IGF2R is abundant in human and canine OS and has shown promise a novel target for RIT of OS using a comparative oncology approach. It is therefore important to investigate the mechanistic underpinnings of RIT efficacy by investigating its interaction with OS microenvironment to develop improved RIT regimens for OS. Materials and Methods: Severe combined immunodeficiency (SCID) female mice bearing human and canine patient-derived OS xenografts were treated with RIT utilizing IF3, a novel full-length human mAb targeting IGF2R obtained by phage-display technology. The IF3 antibody was radiolabeled with an alpha emitter 225Actinium (225Ac) or a beta emitter 177Lutetim (177Lu) radionuclides. The tumors were removed at 1, 3 and 7 days post-RIT and the effects of RIT on IGF2R-positive tumor cells, OS stem cells, and immune components of the tumor microenvironment such as natural killer (NK) cells and tumor-associated macrophages (TAMs) were assessed using quantitative immunohistochemistry (IHC). Results: In the untreated tumors IHC detected the presence of IGF2R-positive tumor cells, OS stem cells, and immune components of the tumor microenvironment such as NK cells and TAMs, in both human and canine OS tumors obtained from mouse models. Quantitative analysis of IHC results in the tumors post-RIT demonstrated a time-dependent decrease in IGF2R-positive OS tumor cells and OS stem cells and an increase in TAMs and NK cells. Conclusions: Deciphering the mechanisms of RIT interaction with tumor microenvironment can assist in the design of the clinical trials in companion dogs with OS, which will be followed by the trials in children with this cancer. Also, it supports combining RIT with immunotherapy targeting OS stem cells and other immune components of tumor microenvironments such as NK cells and TAMS, which can result in improved patient outcomes. Citation Format: Sabeena Giri, Kevin J.H. Allen, Maruti Uppalapati, Ekaterina Dadachova. Effects of radioimmunotherapy on human and canine osteosarcoma microenvironment [abstract]. In: Proceedings of the AACR-NCI-EORTC Virtual International Conference on Molecular Targets and Cancer Therapeutics; 2023 Oct 11-15; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2023;22(12 Suppl):Abstract nr A150.
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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) | 0.002 | 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".