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Record W2488239967 · doi:10.1158/1538-7445.am2016-4243

Abstract 4243: ChAcNLS-A14-B105, a novel fluorescence imaging agent for enhanced detection of muscle invasive bladder cancer

2016· article· en· W2488239967 on OpenAlexaff
Laurent Fafard-Couture, Simon Beaudoin, Samira Osati, Véronique Dumoulon-Perreault, Réjean Lebel, Brigitte Guérin, Johan E. van Lier, Jeffrey V. Leyton

Bibliographic record

VenueCancer Research · 2016
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsBODIPYBladder cancerFluorescenceChemistryIntracellularBiophysicsCancerCancer researchMedicineMolecular biologyBiochemistryBiologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Fluorescence imaging (FI) provides increased sensitivity for the detection of bladder tumors compared to white light cystoscopy. However, most advanced dyes used in FI suffer from nonspecific cellular accumulation resulting in increased false-positives. In addition, these dyes have not made significant progress in detecting the most aggressive bladder tumors such as muscle invasive bladder cancer (MIBC). Our objective is to develop an antibody-conjugate (AC) PDI agent against interleukin-5 receptor α-subunit (IL-5Rα)-positive MIBC cells. IL-5Rα is overexpressed on MIBC cells relative to superficial bladder cancer or healthy bladder cells. We selected a class of fluorescent dyes termed BODIPY for its availability, facile coupling to proteins, and easy chemical modifications to accommodate required absorption and fluorescence properties. BODIPY was attached to an AC composed of the antibody A14 functionalized with a moiety termed ChAcNLS, which we have shown enables it to escape endosome entrapment and redirect its trafficking to the nucleus. This novel approach results in increased intracellular accumulation of attached molecular payloads in MIBC cells. We aim to determine if ChAcNLS-A14 will increase intracellular accumulation of BODIPY to enhance fluorescence detection of MIBC by probe-based confocal laser endomicroscopy (pCLE). In addition, we aim to develop in an improved orthotopic rat bladder tumor model of human MIBC for testing. Methods We have prepared a carboxyl BODIPY derivative (B105) that allows for facile coupling to A14-ChAcNLS using routine procedures and reagents. The number of B105 and ChAcNLS per A14 was determined by fluorescence spectroscopy and SDS-PAGE, respectively. Intracellular accumulation of B105 was determined by treating HT1376 MIBC cells with A14-B105 and ChAcNLS-A14-B105. Cells were then imaged by fluorescence confocal microscopy. For the in vivo model of MIBC, RNU rats were anesthetized and their bladder washed in mild acid to disrupt the endothelium. HT1376 cells marked with the fluorescent marker DiL and instilled in the rat bladder. Intravesical pCLE was performed 2 weeks later. Results ChAcNLS-A14-B105 conjugate contained 7 molecules of B105 and 3 ChAcNLS peptides per A14. Confocal microscopy revealed the level of B105 intracellular accumulation in IL-5Rα-positive MIBC cells was increase ≥10-fold with ChAcNLS-A14-B105 relative to A14-B105. pCLE revealed HT1376 cells survived and colonized the rat bladder urothelium. Conclusion ChAcNLS-A14-B105 was successfully constructed and shown to significantly enhance B105 intracellular accumulation in target IL-5Rα-positive MIBC cells. A novel orthotopic rat bladder tumor model of human MIBC was also generated. Future testing of ChAcNLS-A14-B105 administered intravesically in RNU rat bladders bearing orthotopic tumors of human MIBC will be performed to determine the potential clinical translation of this new FI agent. Citation Format: Laurent Fafard-Couture, Simon Beaudoin, Samira Osati, Véronique Dumoulon-Perreault, Réjean Lebel, Brigitte Guérin, Johan E. van Lier, Jeffrey Leyton. ChAcNLS-A14-B105, a novel fluorescence imaging agent for enhanced detection of muscle invasive bladder cancer. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 4243.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.090
GPT teacher head0.404
Teacher spread0.314 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2016
Admission routes1
Has abstractyes

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