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Record W1970635098 · doi:10.1158/1538-7445.am2011-2516

Abstract 2516: ERa-targeted therapy in ovarian cancer cells by 17b-estradiol-linked chemotherapeutic hybrid; VP-128 (E2-Pt(II))

2011· article· en· W1970635098 on OpenAlexaff
Kevin Brasseur, Valérie Leblanc, Sophie Parent, Caroline Descôteaux, Gervais Bérubé, Éric Asselin

Bibliographic record

VenueCancer Research · 2011
Typearticle
Languageen
FieldMedicine
TopicMetal complexes synthesis and properties
Canadian institutionsUniversité du Québec à Trois-RivièresInnovation and Economic Development Trois Rivières
Fundersnot available
KeywordsOvarian cancerCisplatinCancer researchCancer cellCancerEstrogen receptorIn vivoApoptosisBreast cancerMTT assayViability assayBiologyChemistryInternal medicineMedicineChemotherapyGenetics

Abstract

fetched live from OpenAlex

Abstract Since several cancers in women are estrogen-dependent due to the presence and overexpression of estrogen receptor (ER), we sought to determine the possibility to use it as a target for chemotherapy and have designed unique molecules capable of doing so. We have recently reported the synthesis of a new family of E2-platinum(II) hybrids. Earlier studies revealed VP-128 hybrid to show high efficiency compared to cisplatin towards breast cancer cells. VP-128 was also selective towards ER+ breast cancer xenografts in nude mice. In the present study, we have investigated, in vitro and in vivo, the antitumor activity of VP-128 using ovarian cancer cell (Ovcar-3, Skov-3, A2780 and A2780CP) and investigated the mode of action of this new hybrid against this type of cancer. We have also developed a new model of study by transfecting A2780 cells with ERα gene to better compare our hybrids with cells having the same genotype excepted for the presence or absence of ERα. MTT assays revealed that VP-128 decreased more efficiently the viability of ovarian cancer cells than cisplatin itself in vitro. Moreover, the expression of ERα sensitized the cells to the growth-suppressive effect of VP-128. Hoechst nuclear staining revealed an improved efficiency of VP-128 compared to cisplatin to induce apoptosis of ovarian cancer cells. Western blot analysis revealed that VP-128 induced more caspase-9, caspase-3 and PARP fragments in ovarian cancer cells compared to cisplatin, suggesting that VP-128 is more effective to kill cancer cells. VP-128 decreased the levels of XIAP and phosphorylated/active Akt more than cisplatin in ovarian cancer cells again suggesting that VP-128 has higher biological activity. The activation of caspase-independent apoptosis was observed in A2780 ER- cells, where VP-128 rapidly induced the translocation of AIF to the nucleus, as revealed by Western blot analysis of cytosolic/nuclear cell extracts and immunofluorescence microscopy. Converely, AIF subcellular localization was not modified by VP-128 in Ovcar-3 ER+ cells. Finally, using ovarian cancer cell xenografts in nude mice, we found that VP-128 had improved antitumour activity compared to cisplatin in vivo, and was more specific and selective towards hormone-dependent ER+ than ER- xenografts. Using newly A2780 ERα+ transfected cells, we observed a significant efficiency of the VP-128 hybrid to induce apoptosis compared to A2780 ERα- which further indicate specificity toward the receptor. Altogether these results highlight the therapeutic value of VP-128 for the treatment of hormone-dependent ovarian cancers, and provide preliminary proof-of-concept for efficient targeting of ERα by E2-Pt(II) linked chemotherapeutic hybrids. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 2516. doi:10.1158/1538-7445.AM2011-2516

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)0.001
metaresearch head score (Gemma)0.000
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 score0.048
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0140.000

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 head0.229
GPT teacher head0.382
Teacher spread0.154 · 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
Published2011
Admission routes1
Has abstractyes

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