MétaCan
Menu
Back to cohort
Record W2029224100 · doi:10.1158/1538-7445.am2012-4889

Abstract 4889: ERa-targeted therapy in ovarian cancer cells using novel Estradiol-Platinum(II) hybrids

2012· article· en· W2029224100 on OpenAlexaff
Kevin Brasseur, Valérie Leblanc, Céline Van Themsche, Sophie Parent, Caroline Descôteaux, Gervais Bérubé, Éric Asselin

Bibliographic record

VenueCancer Research · 2012
Typearticle
Languageen
FieldMedicine
TopicMetal complexes synthesis and properties
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsCisplatinOvarian cancerCancer researchApoptosisAnnexinEstrogen receptorIn vivoCancerCancer cellBreast cancerBiologyInternal medicineMedicineChemotherapyBiochemistryGenetics

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 ER as a target for directed 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. Previous study revealed high efficiency of these novel compounds compared to cisplatin towards breast cancer cells which were 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 one of the best hybrid VP-128 using ovarian cancer cell (Ovcar-3, Skov-3, A2780 and A2780CP) and investigated its mode of action and its ability to induce apoptosis and autophagy. Annexin V/PI staining using flow cytometry revealed an improved efficiency of VP-128 compared to cisplatin to induce apoptosis of ovarian cancer cells. We also transiently transfected A2780 cells with ERα gene to compare the hybrid in a similar genetic background. The presence of ER in A2780 increased apoptosis induced by VP-128 but not by cisplatin. VP-128 activity was also stronger compared to cisplatin in presence or absence of ER suggesting that the hybrid can act through different mechanisms of action. In vivo, using ovarian cancer cell xenografts in nude mice, we also found that VP-128 had improved antitumour activity compared to cisplatin, and was more specific and selective towards hormone-dependent ER+ than ER- xenografts. To examine VP-128 mechanism of action, we decided to study its ability to induce apoptosis and autophagy. We found that VP-128 induced apoptosis via caspase-dependant (caspase-9; -3 and PARP cleavage) mechanisms but also caspase-independent mechanisms such as AIF translocation to the nucleus, as revealed by Western blot of cytosolic/nuclear cell extracts and immunofluorescence microscopy in A2780(ER-). Conversely, AIF subcellular localization was not modified by VP-128 in Ovcar-3 ER+ cells. Following 8-12h of treatment with VP-128, increased formation of acidic vesicular organelles in cancer cells was observed suggesting the importance of autophagy in this process. We then found by Western blot that LC3B-I was converted to LC3B-II following VP-128 treatment suggesting formation of autophagosome. We then investigated pathways directly (mTor) or indirectly (AKT) possibly involved in the regulation of autophagy. VP-128 decreased the level of both phosphorylated/active mTor and AKT in cancer cells favouring autophagy induction. These results show that VP-128 can not only induce apoptosis but also induce autophagy in ovarian cancer cells. Altogether, this study also 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 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 4889. doi:1538-7445.AM2012-4889

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.163
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.310
GPT teacher head0.432
Teacher spread0.123 · 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
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueCancer ResearchSame topicMetal complexes synthesis and propertiesFrench-language works237,207