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Record W4362542562 · doi:10.1158/1538-7445.am2023-5045

Abstract 5045: NTSR1-targeted alpha therapeutic [Ac-225]-FPI-2059 induces growth inhibition in a preclinical colorectal tumor model

2023· article· en· W4362542562 on OpenAlexaff
Saleemulla Mahammad, Jaline Broqueza, Brigitte L. Thériault, John Forbes, Christopher P. Leamon, John F. Valliant

Bibliographic record

VenueCancer Research · 2023
Typearticle
Languageen
FieldMedicine
TopicRadiopharmaceutical Chemistry and Applications
Canadian institutionsPatheon (Canada)
Fundersnot available
KeywordsBiodistributionMedicinePharmacokineticsColorectal cancerCancer researchIn vivoCancerPharmacologyRadioligandTherapeutic indexInternal medicineReceptorDrugBiology

Abstract

fetched live from OpenAlex

Abstract Background: Neurotensin receptor 1 (NTSR1) is overexpressed in multiple cancer indications that include pancreatic, colorectal and prostate cancers, all of which have limited therapeutic treatment options and unmet medical need. Fusion is developing novel targeted alpha therapeutics (TATs) that enable the specific delivery of high energy alpha particles (actinium-225; [225Ac]) to tumor cells while sparing surrounding normal tissues. The alpha radiation released by TATs causes cell damage through the induction of multiple double-stranded DNA breaks leading to tumor cell death. Here, we describe the therapeutic efficacy of an [225Ac]-conjugated, NTSR1 targeting small molecule in a colorectal cancer tumor model. Materials and Methods: CT26 colorectal cancer cells overexpressing murine NTSR1 (mNTSR1) were generated by lentiviral transduction. Selected cells were evaluated for stable mNTSR1 expression by an in vitro radioligand binding assay and subsequently implanted subcutaneously into Balb/c mice for in vivo evaluations. FPI-2056 (parent compound) was radiolabeled with either lutetium-177 ([177Lu]-FPI-2057) or actinium-225 ([225Ac]-FPI-2059). Biodistribution assessment studies were conducted in mice bearing CT26-mNTSR1 tumors dosed intravenously with [177Lu]-FPI-2057. Therapeutic efficacy studies were conducted by intravenous administration of single doses of 0.185 - 5.55 MBq/kg of [225Ac]-FPI-2059 (0.1-3 µCi) to animals bearing CT26-mNTSR1 tumors, followed by tumor growth monitoring for 50 days. Study endpoints included tumor volume measurements and impact on animal health status. Results: Evaluation of [177Lu]-FPI-2057 biodistribution and excretion revealed rapid renal clearance via urine with a clearance from the blood by 24 h. Uptake of [177Lu]-FPI-2057 was detected in the CT26-mNTSR1 tumors with a maximum concentration of 7.0 %ID/g at 6 h post-injection, dropping to 4.6 and 2.8 %ID/g at 24 and 48 h post-injection, with 20-fold higher uptake in the tumor vs. blood levels at both 24 and 48h time points. Therapeutic administration of a single dose of [225Ac]-FPI-2059 resulted in dose-dependent tumor growth inhibition at doses above 1.85 MBq/kg of [225Ac]-FPI-2059 (1 μCi), which translated into increased survival compared to control animals. Conclusion: These results demonstrate that targeted delivery of [225Ac]-FPI-2059 to NTSR1 expressing tumors results in significant growth inhibition and enhanced survival, thereby providing promising preclinical evidence to support the clinical development of [225Ac]-FPI-2059. Citation Format: Saleemulla Mahammad, Jaline Broqueza, Brigitte L. Theriault, John Forbes, Christopher P. Leamon, John Valliant. NTSR1-targeted alpha therapeutic [Ac-225]-FPI-2059 induces growth inhibition in a preclinical colorectal tumor model. [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 5045.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.265
GPT teacher head0.514
Teacher spread0.249 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2023
Admission routes1
Has abstractyes

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