MétaCan
Menu
← Back to cohort
Record W1969135551 · doi:10.1158/1538-7445.am10-5376

Abstract 5376: Antisense oligonucleotide targeting insulin-like growth factor-1 receptor (IGF-1R) enhances paclitaxel sensitivity in a castrate-resistant and paclitaxel-resistant prostate cancer model

2010· article· en· W1969135551 on OpenAlexaff
Junya Furukawa, Christopher J. Wraight, Brett P. Monia, Martin Gleave, Michael Cox

Bibliographic record

VenueCancer Research · 2010
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDocetaxelPaclitaxelProstate cancerCancer researchIn vivoAndrogen deprivation therapyPharmacologyFlow cytometryGrowth factorApoptosisMedicineCancerBiologyReceptorInternal medicineImmunologyBiochemistry

Abstract

fetched live from OpenAlex

Abstract While prostate cancer (PCa) initially responds to androgen deprivation therapy (ADT), castrate-resistant disease (CRPC) relapse is inevitable. Altered expression of insulin-like growth factor (IGF) axis components have been consistently found in PCa and associated with adaptive growth and survival signaling implicated in CRPC progression. These activities are mediated by activation of the IGF-I receptor (IGF-IR). While CRPC patients treated with taxanes (paclitaxel or docetaxel) alone or in combination with estramustine phosphate or predonisone show a survival benefit, development of chemotherapeutic resistance eventually occurs. Therefore novel strategies targeting the molecular basis of ADT and chemotherapy resistance are required. In this study, we assess the potency and anti-cancer activity of a 2′-MOE-modified antisense oligonucleotide (ASO) targeting human IGF-IR, ATL1101, on the CRPC cell line, PC3 and a paclitaxel-resistant androgen-independent PC3-derived cell line, PtxR PC3, in vitro and in vivo. PtxR PC3 cells were established by culturing in step-wise increased drug concentrations. IGF-IR mRNA and protein expression in ATL1101- and control oligonucleotides (ODN)-treated PtxR PC3 cells were measured by QT-PCR and immunoblotting. The effect of IGF-1R ASO and paclitaxel combination therapy on parental and PtxR PC3 cell growth and apoptosis in vitro was examined by crystal violet assay and flow cytometry. In vitro combination index (CI) was calculated by Calcusyn® softoware. For xenograft studies, parental and PtxR PC-3 cells were inoculated s.c. in the flanks of athymic male nude mice and tumor volume kinetics were compared for mice treated with paclitaxel injected i.v. and either ATL1101 or control ODN injected i.p. In vitro, the IC50 for paclitaxel in PtxR PC3 was 20-fold higher than that in parental cells. PtxR PC3 also show significant cross-resistance to docetaxel and mitoxantrone. We observed equivalent dose- and sequence-specific suppression of IGF-IR mRNA and protein expression, and comparable decreased proliferation and increased apoptosis in ATL1101-treated parental and PtxR PC3 cells in vitro. Combination of ATL1101 with paclitaxel showed CI values below 1 at the IC50, IC75, IC90, suggesting the drug interactions resulted in synergy. In vivo, ATL1101 significantly increased sensitivity of PtxR PC3 tumors to combination therapy with paclitaxel as compared to control ODN in murine xenografts. This study reports the first preclinical proof-of-principle data that this novel IGF-IR ASO suppresses growth of paclitaxel resistant PC tumors, synergistically enhancing paclitaxel sensitivity in vitro and in vivo. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 5376.

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)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.051
GPT teacher head0.374
Teacher spread0.324 · 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
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueCancer Research→Same topicProstate Cancer Treatment and Research→French-language works237,207→