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Record W4229458948 · doi:10.21203/rs.3.rs-1499067/v1

Towards In Vivo Proof-of-Binding of 18F-labeled Inhibitor [18F]TRACK to Peripheral Tropomyosin Receptor Kinases

2022· preprint· en· W4229458948 on OpenAlexafffund
Melinda Wuest, Justin J. Bailey, Jennifer Dufour, Darryl Glubrecht, Vanessa Omana, Tom H. Johnston, Jonathan M. Brotchie, Ralf Schirrmacher

Bibliographic record

VenueResearch Square · 2022
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSignaling Pathways in Disease
Canadian institutionsUniversity of AlbertaMcGill UniversityUniversity Health Network
FundersUniversity of AlbertaWeston Brain InstituteCanadian Institutes of Health ResearchCancer Research Society
KeywordsIn vivoKinaseTropomyosinChemistryReceptorCell biologyMolecular biologyBiochemistryActinBiologyGenetics

Abstract

fetched live from OpenAlex

Abstract Background Tropomyosin receptor kinases (TrkA, TrkB, TrkC) are a family of tyrosine kinases primarily expressed in neuronal cells of the brain. Identification of oncogenic alterations in Trk expression as a driver in multiple tumor types has increased interest in their role in human cancers. Recently, first and second generation 11 C and 18 F-labeled Trk inhibitors e.g.[ 18 F]TRACK have been developed. The goal of the present study was to analyze the direct interaction of [ 18 F]TRACK with peripheral Trk receptors in vivo to prove its specificity for use as a functional imaging probe. Methods In vitro uptake and competition experiments were carried out using the colorectal cancer cell line KM12. Dynamic PET experiments were performed with [ 18 F]TRACK, either alone or in the presence of amitriptyline, an activator of Trk, entrectinib, a Trk inhibitor, or unlabeled reference compound TRACK in KM12 tumor bearing athymic nude mice as well as B6129SF2/J and corresponding B6;129S2- Ntrk2 tm1Bbd /J mice. Western blot and immunohistochemistry experiments were done with KM12 tumors, brown adipose tissue (BAT), and brain tissue samples. Results Uptake of [18F]TRACK was increasing over time reaching 208 ± 72% radioactivity per mg protein (n = 6/2) after 60 min incubation time. Entrectinib and TRACK competitively blocked [ 18 F]TRACK uptake in vitro (IC 50 30.9 ± 3.6 and 29.4 ± 9.4nM; both n = 6/2). [ 18 F]TRACK showed uptake into KM12 tumors (SUV mean,60min 0.43 ± 0.03; n = 6). Tumor-to-muscle ratio reached 0.9 (60min) and 1.2 (120min). In TrkB expressing BAT [ 18 F]TRACK uptake reached SUV mean,60min 1.32 ± 0.08 (n = 7). Activation of Trk through amitriptyline resulted in a significant increase of KM12 tumor uptake 23% (SUV mean,60min from 0.53 ± 0.01 to 0.43 ± 0.03; n = 6; p < 0.05) and in BAT 21% (SUV mean,60min from 1.32 ± 0.08; n = 5 to 1.59 ± 0.07; n = 6; p < 0.05). Immunohistochemistry showed TrkB > TrkA expression on BAT fat cells, but TrkA > TrkB in whole brain. WB analysis showed 7-fold higher TrkB expression in BAT versus KM12 tumor tissue. Conclusion The present data shows that radiotracer [ 18 F]TRACK can target peripheral Trk receptors in human KM12 colon cancer as well as brown adipose tissue as confirmed through in vitro and in vivo blocking experiments. Higher TrkB versus TrkA protein expression was detected in brown adipose tissue of mice confirming a peripheral functional role of brain-derived neurotrophic factor in adipose tissue.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.007
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.049
GPT teacher head0.382
Teacher spread0.333 · 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
Published2022
Admission routes2
Has abstractyes

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