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Abstract LB-273: Molecular targeting Neu1 with oseltamivir phosphate abrogates tumor neovascularization, growth, and metastasis in mouse model of human triple-negative breast cancer

2015· article· en· W1679717407 on OpenAlexaff
Myron R. Szewczuk, Fiona Haxho, Stephanie Allison‐Logan, Farah Alghamdi, Lacey Brodhagen, Victoria Kuta, Samar Abdulkhalek, Ronald J. Neufeld

Bibliographic record

VenueCancer Research · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer Research and Treatments
Canadian institutionsQueen's University
Fundersnot available
KeywordsTriple-negative breast cancerCancer researchMedicineTamoxifenMetastasisViability assayBreast cancerCancerPathologyInternal medicineBiologyCell culture

Abstract

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Abstract Patients with triple-negative breast cancers (TNBCs) lacking the estrogen, progesterone, and epidermal growth factor (EGF) receptor-2 (HER2/neu) receptors have typical high grading, frequent relapses, and exhibit poorer outcomes or prognosis compared with the other subtypes. No current targeted therapies are effective for TNBC. Here, preclinical studies on the antitumor activity of oseltamivir phosphate (OP) monotherapy was investigated to identify its role in tumor neovascularization, growth, invasiveness, and long-term survival in RAGxCγ double mutant mouse model of human TNBC. Sialidase, WST-1, and immunohistochemistry assays were used to evaluate sialidase activity, cell viability, and expression levels of E-, and N-cadherins, and host CD31+/PECAM-1 cells in paraffin-embedded TNBC MDA-MB-231 tumors grown in these mice. OP, anti-Neu1, and matrix metalloproteinase-9-specific inhibitor blocked Neu1 activity associated with EGF-stimulated MDA-MB-231 cells. OP treatment of MDA-MB-231 and MCF-7 cells and their stable tamoxifen-resistant clones reproducibly and dose-dependently reduced the sialidase activity associated with EGF-stimulated live cells and the cell viability after 72 hours of incubation. Combination of 1 μM cisplatin, 5-fluorouracil, paclitaxel, gemcitabine, or tamoxifen with OP in a dose-dependent manner significantly reduced cell viability at 24, 48, and 72 hrs when compared to the chemotherapeutic alone. Heterotopic xenografts of MDA-MB-231 tumors developed bloody tumor vascularization in these mice. OP treatment at 30 mg/kg daily I.P. treatment reduced tumor vascularization and growth rate with significant reduction in tumor weight and spread to the lungs compared with the untreated cohorts. OP treatment at 50 mg/kg completely ablated tumor vascularization, growth and spread to the lungs, with significant long-term survival for 180 days post-implantation, tumor shrinking, and no relapses after 56 days off-drug. OP 30 mg/kg cohort tumors had significantly reduced levels of human N-cadherins and host CD31+ endothelial cells with concomitant significant expression of E-cadherins compared to the untreated cohorts. These findings signify a novel treatment therapy for TNBC. Citation Format: Myron R. Szewczuk, Fiona Haxho, Stephanie Allison, Farah Alghamdi, Lacey Brodhagen, Victoria Kuta, Samar Abdulkhalek, Ronald Neufeld. Molecular targeting Neu1 with oseltamivir phosphate abrogates tumor neovascularization, growth, and metastasis in mouse model of human triple-negative breast cancer. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr LB-273. doi:10.1158/1538-7445.AM2015-LB-273

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 score0.002
Threshold uncertainty score0.005

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)0.0020.000

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 head0.037
GPT teacher head0.350
Teacher spread0.313 · 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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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