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Record W2328001740 · doi:10.1158/1538-7445.am2013-3929

Abstract 3929: Estrone-3-sulphate, a potential novel ligand for targeting breast cancers.

2013· article· en· W2328001740 on OpenAlexaff
Nilasha Banerjee, Humphrey Fonge, Andrew S. Mikhail, Raymond M. Reilly, Reina Bendayan, Christine Allen

Bibliographic record

VenueCancer Research · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEstrogen and related hormone effects
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEstroneBreast cancerIn vivoCancer researchOrganic anion-transporting polypeptideEstrogenInternal medicineHormoneIn vitroCancerChemistryMedicineLigand (biochemistry)PharmacologyEndocrinologyReceptorBiologyTransporterBiochemistry

Abstract

fetched live from OpenAlex

Abstract This study investigates the potential of estrone-3-sulphate (E3S) as a ligand for targeting Organic Anion Transporting Polypeptides (OATP), a family of membrane-associated transport proteins, for detection of hormone dependent breast cancers. E3S, a circulating inactive plasma estrogen, is an OATP substrate and a predominant source of tumour estradiol in post-menopausal patients. It has been reported that some of the OATP isoforms (e.g. OATP1A2, OATP2B1) are over expressed (up to ten times) in breast cancer tissues as compared to surrounding normal tissues. This suggests that the two- three times higher E3S concentration reported in malignant tissues, as compared to the surrounding normal tissues, could be due to higher expression and/or increased functional activity of OATPs detected in breast tumour tissues. We recently demonstrated in vitro that expression of some of the OATPs (i.e. OATP1A2, OATP1B1, OATP1B3, OATP1C1, OATP2B1, OATP3A1 and OATP4A1) were either exclusive, similar or significantly higher (p<0.001) in breast cancer cells as compared to normalized breast epithelial cells (MCF10A). Thus to assess in vivo, the potential of E3S as a ligand for targeting OATPs in breast cancers, distribution of exogenous E3S (administered intravenously) was determined in murine models of hormone-dependent (MCF-7) and independent (MDA-MB-231) breast cancers. The highest levels of tumour uptake were observed at 6h post injection (p.i) with significant difference between the level in MCF-7 (13.9 ± 3.1 %ID/g) and MDA-MB-231 (10.4 ± 1.1 %ID/g). The highest tumour-to-blood ratios (MCF-7: 7.4±1.2; MDA-MB-231: 9.1±2.1) were observed at 48 p.i., and highest tumour-to-muscle ratios (MCF-7: 10.7±1.5; MDA-MB-231: 3.8±0.7) were observed at 6h p.i. Analogous to total tumour uptake, ex vivo tumour cell uptake at 2h p.i. was 6 fold higher in MCF-7 compared to MDA-MB-231 tumour cells. Blocking studies, conducted by pre-administration of 100-fold excess E3S, resulted in significantly lower tumour uptake in both xenograft models, suggesting the involvement of an active carrier mediated process. Immunohistochemical analysis detected OATP1A2 in tumour sections from both xenografts, with significantly higher expression in the MCF-7 xenografts. Overall, the higher tumour uptake and tumour-to-muscle ratio, alongside the higher expression of OATP1A2, in the MCF-7 xenograft model suggest the potential of E3S to serve as a novel ligand for targeting hormone dependent breast cancers. To the best of our knowledge, this is the first report documenting the in vivo distribution of exogenous E3S, in models of hormone dependent and independent breast cancers. Citation Format: Nilasha Banerjee, Humphrey Fonge, Andrew Mikhail, Raymond M. Reilly, Reina Bendayan, Christine Allen. Estrone-3-sulphate, a potential novel ligand for targeting breast cancers. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 3929. doi:10.1158/1538-7445.AM2013-3929

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 score0.005
Threshold uncertainty score0.016

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)0.0050.002

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 head0.021
GPT teacher head0.338
Teacher spread0.317 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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