Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 3 de 3
Filter
Add more filters










Database
Language
Publication year range
1.
Sci Rep ; 8(1): 17862, 2018 12 14.
Article in English | MEDLINE | ID: mdl-30552344

ABSTRACT

The poor prognosis of ovarian cancer (it is the leading cause of death from gynecological cancers) is mainly due to the acquisition of resistance to carboplatin. Among the possible resistance pathways, resistance to apoptosis and especially the overexpression of inhibitor of apoptosis proteins (IAP) cIAP1 and X-linked IAP (XIAP), have been implicated. DEBIO 1143, a SMAC (second mitochondria-derived activator of caspase) mimetic, belongs to a new class of targeted agents currently being evaluated in clinical trials, which activate apoptotic cell death and block pro-survival signaling in cancer cells. Here, we demonstrate that DEBIO 1143 in vitro inhibits the cell viability of two carboplatin-sensitive cell lines (IGROV-1 and A2780S) as well as three carboplatin-resistant cell lines (A2780R, SKOV-3 and EFO-21). Of note, DEBIO 1143 is able to reverse resistance to carboplatin by inducing cell death either by apoptosis or necroptosis depending on the cell lines. To identify a biomarker able to predict the sensitivity of the cell lines to DEBIO 1143 treatment we analyzed the expression of the DEBIO 1143 targets cIAP1 and XIAP, and one of their downstream targets, caspase 9. These proteins did not constitute a marker of DEBIO 1143 sensitivity/resistance. Importantly, we confirmed these findings in vivo in SKOV-3 xenograft models where DEBIO 1143 highly potentiated carboplatin treatment.


Subject(s)
Antineoplastic Agents/pharmacology , Azocines/pharmacology , Benzhydryl Compounds/pharmacology , Carboplatin/pharmacology , Cell Survival/drug effects , Drug Resistance, Neoplasm/drug effects , Inhibitor of Apoptosis Proteins/antagonists & inhibitors , X-Linked Inhibitor of Apoptosis Protein/antagonists & inhibitors , Animals , Antineoplastic Agents/administration & dosage , Azocines/administration & dosage , Benzhydryl Compounds/administration & dosage , Carboplatin/administration & dosage , Caspase 9/analysis , Cell Line, Tumor , Disease Models, Animal , Female , Heterografts , Humans , Inhibitor of Apoptosis Proteins/analysis , Mice , Mice, Nude , Neoplasm Transplantation , Ovarian Neoplasms/drug therapy , Treatment Outcome , X-Linked Inhibitor of Apoptosis Protein/analysis
2.
Eur J Cancer ; 72: 200-209, 2017 02.
Article in English | MEDLINE | ID: mdl-28042991

ABSTRACT

BACKGROUND: Survival of patients with metastatic breast cancer (MBC) suffering from brain metastasis (BM) is limited and this event is usually fatal. In 2010, the Graesslin's nomogram was published in order to predict subsequent BM in patients with breast cancer (BC) with extra-cerebral metastatic disease. This model aims to select a patient population at high risk for BM and thus will facilitate the design of prevention strategies and/or the impact of early treatment of BM in prospective clinical studies. PATIENTS AND METHODS: Nomogram external validation was retrospectively applied to patients with BC and later BM between January 2005 and December 2012, treated in our institution. Moreover, risk factors of BM appearance were studied by Fine and Gray's competing risk analysis. RESULTS: Among 492 patients with MBC, 116 developed subsequent BM. Seventy of them were included for the nomogram validation. The discrimination is good (area under curve = 0.695 [95% confidence interval, 0.61-0.77]). Risk factors of BM appearance are: human epidermal growth factor receptor 2 (HER2) overexpression/amplification, triple-negative BC and number of extra-cerebral metastatic sites (>1). With a competing risk model, we highlight the nomogram interest for HER2+ tumour subgroup exclusively. CONCLUSION: Graesslin's nomogram external validation demonstrates exportability and reproducibility. Importantly, the competing risk model analysis provides additional information for the design of prospective trials concerning the early diagnosis of BM and/or preventive treatment on high risk patients with extra-cerebral metastatic BC.


Subject(s)
Brain Neoplasms/secondary , Breast Neoplasms/pathology , Nomograms , Adult , Aged , Aged, 80 and over , Breast Neoplasms/mortality , Female , Humans , Middle Aged , Predictive Value of Tests , ROC Curve , Regression Analysis , Reproducibility of Results , Retrospective Studies , Risk Assessment , Risk Factors
SELECTION OF CITATIONS
SEARCH DETAIL
...