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Record W4362543480 · doi:10.1158/1538-7445.am2023-5041

Abstract 5041: TEM-1 targeted alpha therapeutic [Ac-225]-FPI-1848 induces regression in pre-clinical sarcoma xenograft models

2023· article· en· W4362543480 on OpenAlexaff
Sean Collens, Nicole Robinson, Matt Moran, Ryan Simms, Yarina Storozhuk, Meiduo Hu, Natalie Grinshtein, John Forbes, Christopher P. Leamon, John F. Valliant

Bibliographic record

VenueCancer Research · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicGalectins and Cancer Biology
Canadian institutionsPatheon (Canada)
Fundersnot available
KeywordsBiodistributionSarcomaMedicineCancer researchEx vivoImmunoconjugatePathologyCancerIn vivoStromal cellMonoclonal antibodyAntibodyInternal medicineImmunologyBiology

Abstract

fetched live from OpenAlex

Abstract Background: Tumor endothelial marker 1 (TEM-1 or CD248) is a cell surface receptor belonging to a family of C-type lectin transmembrane proteins. Identified as a fetal antigen, expression peaks during embryogenesis but is minimally detected in adulthood. In pathological conditions TEM-1 has been shown to be overexpressed in cancer and fibrosis. In sarcomas, expression occurs throughout the tumor environment in malignant cells, stromal cells and perivascular cells. The first line of treatment for sarcomas is surgical removal; however, many sarcomas arise in inoperable sites prompting a need for novel therapies. Herein, we describe the development of a novel TEM-1 targeting radiotherapeutic, [225Ac]-FPI-1848, in mouse xenograft models of sarcoma. Methods: [225Ac]-FPI-1848 is a radioimmunoconjugate consisting of a humanized anti-TEM-1 monoclonal antibody conjugated to a proprietary DOTA-based chelate (FPI-1397) and radiolabeled with actinium-225 [225Ac]. [177Lu]-FPI-1835 is the lutetium-177 radiolabeled analogue. The biodistribution and therapeutic efficacy of these radioimmunoconjugates were evaluated in human sarcoma xenograft models using nu/nu mice of Balb/c background. For biodistribution studies, approximately 37 MBq/kg of [177Lu]-FPI-1835 was injected intravenously into mice and tumor/organ radioactivity was quantified ex vivo at timepoints between 4 and 196 h. For therapeutic studies, a single intravenous dose of [225Ac]-FPI-1848 was administered over a dose range of 18.5 to 740 kBq/kg. Tumor size and body weight were monitored for 28 days. Results: Biodistribution studies with [177Lu]-FPI-1835 confirmed robust tumor uptake with minimal normal tissue uptake in three sarcoma models expressing high (SJSA-1), moderate (SK-N-AS) or low (A673) levels of TEM-1. Furthermore, the degree of uptake trended with TEM-1 expression levels across these models (SJSA1> SK-N-AS> A673). In corresponding therapeutic studies, [225Ac]-FPI-1848 demonstrated dose-dependent efficacy consistent with tumor uptake. In the SJSA-1 model, tumor regression was observed at doses of 92.5 kBq/kg or greater. Tumor regression was observed at doses of 185 kBq/kg or greater in the SK-N-AS model. In the low TEM-1 expressing A673 model, significant tumor regression was only observed at the highest radionuclide dose level (740 kBq/kg). Overall, therapy was well tolerated with no significant loss of body weight or clinical signs of poor health. Conclusions: [177Lu]-FPI-1835 demonstrated target-dependent uptake consistent with the degree of TEM-1 expression in human sarcoma xenograft models. In turn, corresponding efficacy studies with [225Ac]-FPI-1848 demonstrated strong dose-dependent, and target level-dependent efficacy with no apparent toxicity. These results suggest [225Ac]-FPI-1848 could be a promising therapy for TEM-1 expressing sarcomas. Citation Format: Sean Collens, Nicole Robinson, Matt Moran, Ryan Simms, Yarina Storozhuk, Meiduo Hu, Natalie Grinshtein, John Forbes, Christopher P. Leamon, John Valliant. TEM-1 targeted alpha therapeutic [Ac-225]-FPI-1848 induces regression in pre-clinical sarcoma xenograft models. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 5041.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.705
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.199
GPT teacher head0.466
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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