Caractérisation de nouvelles lignées cellulaires pré-chimiothérapie et post-chimiothérapie du cancer épithélial de l'ovaire

Le cancer épithélial de l’ovaire (CÉO) est le cancer gynécologique le plus létal. Le CÉO de type séreux, la forme la plus commune avec plus de 50% des cas, est souvent diagnostiqué tardivement et associé à un mauvais pronostic. Le CÉO avancé, surtout traité par chimiothérapie, va devenir chimiorésistant chez la majorité des patientes traitées. Bien que des lignées cellulaires du CÉO aient été dérivées à partir de tumeurs solides et d’ascites de patientes ayant ou non subi une chimiothérapie, aucune des lignées cellulaires du CÉO provenant d’une même patiente avant et après ses traitements de chimiothérapie n’ont été établies précédemment. Notre laboratoire est le premier à développer de telles lignées cellulaires. Nos nouvelles lignées cellulaires sont dérivées de trois patientes différentes (1369, 2295 et 3133) et classées selon leur provenance, soit la tumeur solide (TOV) ou l’ascite (OV). Nous avons donc caractérisé ces nouvelles lignées de cellules pré-chimiothérapie (TOV1369TR, OV2295, TOV3133D et TOV3133G) et post-chimiothérapie (OV1369(2), OV2295(2), TOV2295, OV3133 et OV3133(2)) par diverses approches. Par immunohistochimie et immunobuvardage de type Western, nous avons caractérisé les niveaux d’expression de marqueurs épithéliaux typiques de kératines (KRT7, KRT8, KRT18, KRT19, KRT20) pour confirmer l’origine épithéliale et ovarienne des cellules. Nous avons également analysé le niveau d’expression de HER2 et p53, deux marqueurs importants dans le CÉO. Cependant, il ne semble pas y avoir d’expression différentielle évidente de ces marqueurs entre les lignées pré-chimiothérapie et post-chimiothérapie. Plus encore, nous avons étudié plusieurs caractéristiques tumorigéniques des lignées cellulaires, dont la prolifération cellulaire (par compte cellulaire), la migration cellulaire (par recouvrement de plaie), la capacité à former des sphéroïdes en 3D (par la méthode des gouttelettes inversées), et la formation de tumeurs in vivo dans des souris SCID (xénogreffes sous-cutanées). En général, il ne semble pas y avoir de différences claires entre les cellules pré-chimiothérapie et post-chimiothérapie au niveau du comportement cellulaire, à l’exception du fait qu’aucune des lignées post-chimiothérapie semblent être en mesure de former des structures tridimensionnelles compactes, contrairement à certaines lignées post-chimiothérapie. Nos résultats pourront servir à mieux comprendre les différents mécanismes régissant les tumeurs malignes du CÉO de type séreux et à mieux comprendre la progression de la maladie à travers les différents traitements, ce qui nous permettra d’acquérir des informations essentielles pour mieux évaluer et traiter différentes patientes.

A PK2/Bv8/PROK2 antagonist suppresses tumorigenic processes by inhibiting angiogenesis in glioma and blocking myeloid cell infiltration in pancreatic cancer.

Infiltration of myeloid cells in the tumor microenvironment is often associated with enhanced angiogenesis and tumor progression, resulting in poor prognosis in many types of cancer. The polypeptide chemokine PK2 (Bv8, PROK2) has been shown to regulate myeloid cell mobilization from the bone marrow, leading to activation of the angiogenic process, as well as accumulation of macrophages and neutrophils in the tumor site. Neutralizing antibodies against PK2 were shown to display potent anti-tumor efficacy, illustrating the potential of PK2-antagonists as therapeutic agents for the treatment of cancer. In this study we demonstrate the anti-tumor activity of a small molecule PK2 antagonist, PKRA7, in the context of glioblastoma and pancreatic cancer xenograft tumor models. For the highly vascularized glioblastoma, PKRA7 was associated with decreased blood vessel density and increased necrotic areas in the tumor mass. Consistent with the anti-angiogenic activity of PKRA7 in vivo, this compound effectively reduced PK2-induced microvascular endothelial cell branching in vitro. For the poorly vascularized pancreatic cancer, the primary anti-tumor effect of PKRA7 appears to be mediated by the blockage of myeloid cell migration/infiltration. At the molecular level, PKRA7 inhibits PK2-induced expression of certain pro-migratory chemokines and chemokine receptors in macrophages. Combining PKRA7 treatment with standard chemotherapeutic agents resulted in enhanced effects in xenograft models for both types of tumor. Taken together, our results indicate that the anti-tumor activity of PKRA7 can be mediated by two distinct mechanisms that are relevant to the pathological features of the specific type of cancer. This small molecule PK2 antagonist holds the promise to be further developed as an effective agent for combinational cancer therapy.

Speaker identification using higher order spectral phase features and their effectiveness vis-a-vis Mel-Cepstral features

The effectiveness of higher-order spectral (HOS) phase features in speaker recognition is investigated by comparison with Mel Cepstral features on the same speech data. HOS phase features retain phase information from the Fourier spectrum unlikeMel–frequency Cepstral coefficients (MFCC). Gaussian mixture models are constructed from Mel– Cepstral features and HOS features, respectively, for the same data from various speakers in the Switchboard telephone Speech Corpus. Feature clusters, model parameters and classification performance are analyzed. HOS phase features on their own provide a correct identification rate of about 97% on the chosen subset of the corpus. This is the same level of accuracy as provided by MFCCs. Cluster plots and model parameters are compared to show that HOS phase features can provide complementary information to better discriminate between speakers.

Crowd Counting Using Multiple Local Features

In public venues, crowd size is a key indicator of crowd safety and stability. Crowding levels can be detected using holistic image features, however this requires a large amount of training data to capture the wide variations in crowd distribution. If a crowd counting algorithm is to be deployed across a large number of cameras, such a large and burdensome training requirement is far from ideal. In this paper we propose an approach that uses local features to count the number of people in each foreground blob segment, so that the total crowd estimate is the sum of the group sizes. This results in an approach that is scalable to crowd volumes not seen in the training data, and can be trained on a very small data set. As a local approach is used, the proposed algorithm can easily be used to estimate crowd density throughout different regions of the scene and be used in a multi-camera environment. A unique localised approach to ground truth annotation reduces the required training data is also presented, as a localised approach to crowd counting has different training requirements to a holistic one. Testing on a large pedestrian database compares the proposed technique to existing holistic techniques and demonstrates improved accuracy, and superior performance when test conditions are unseen in the training set, or a minimal training set is used.

Tests of the elaborated intrusion theory of craving and desire : features of alcohol craving during treatment for an alcohol disorder

Objectives. We tested predictions from the elaborated intrusion (EI) theory of desire, which distinguishes intrusive thoughts and elaborations, and emphasizes the importance of imagery. Secondarily, we undertook preliminary evaluations of the Alcohol Craving Experience (ACE) questionnaire, a new measure based on EI Theory. Methods. Participants (N ¼ 232) were in correspondence-based treatment trials for alcohol abuse or dependence. The study used retrospective reports obtained early in treatment using the ACE, and daily self-monitoring of urges, craving, mood and alcohol consumption. Results. The ACE displayed high internal consistency and test – retest reliability and sound relationships with self-monitored craving, and was related to Baseline alcohol dependence, but not to consumption. Imagery during craving was experienced by 81%,with 2.3 senses involved on average. More frequent imagery was associated with longer episode durations and stronger craving. Transient intrusive thoughts were reported by 87% of respondents, and were more common if they frequently attempted to stop alcohol cognitions. Associations between average daily craving and weekly consumption were seen. Depression and negative mood were associated with more frequent, stronger and longer lasting desires for alcohol. Conclusions. Results supported the distinction of automatic and controlled processes in craving, together with the importance of craving imagery. They were also consistent with prediction of consumption from cross-situational averages of craving, and with positive associations between craving and negative mood. However, this study’s retrospective reporting and correlational design require that its results be interpreted cautiously. Research using ecological momentary measures and laboratory manipulations is needed before confident inferences about causality can be made.