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Academic literature on the topic 'Pronostic biomarker'
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Journal articles on the topic "Pronostic biomarker"
Dupuy, Anne Marie, Nils Kuster, Anne Sophie Bargnoux, Sylvain Aguilhon, Fabien Huet, Florence Leclercq, Jean-Luc Pasquié, François Roubille, and Jean Paul Cristol. "Long term pronostic value of suPAR in chronic heart failure: reclassification of patients with low MAGGIC score." Clinical Chemistry and Laboratory Medicine (CCLM) 59, no. 7 (February 4, 2021): 1299–306. http://dx.doi.org/10.1515/cclm-2020-0903.
Full textAliaga Macha, Carlos, Thanya Runciman, and Carlos F. Carracedo. "Inflammatory biomarkers as pronostic factors of mortality in critical ILL oncology patients at ICU." Journal of Clinical Oncology 37, no. 15_suppl (May 20, 2019): e14535-e14535. http://dx.doi.org/10.1200/jco.2019.37.15_suppl.e14535.
Full textMontes-Worboys, A., A. Romero, A. M. Casas, E. Arellano, J. M. Juan, J. A. Moreno, and F. Rodriguez Panadero. "Gene polimorphisms and biological factors as possible predictors for patients with pleural metastatic breast cancer." Journal of Clinical Oncology 24, no. 18_suppl (June 20, 2006): 10671. http://dx.doi.org/10.1200/jco.2006.24.18_suppl.10671.
Full textKatawa, Gnatoulma, Wemboo Halatoko, Christèle Nguepou Tchopba, Yawo Hozo Aloyi, Adjoa Holali Ameyapoh, Pélagie Edlom Tchadié, Marthe Oukoe Amessoudji, et al. "Hypoalbuminemia, Hyper-a-1/–a-2-Globulinemia Associated with High CRP and IL-6 in COVID-19 Patients in Togo." Austin Journal of Infectious Diseases 10, no. 2 (May 23, 2023). http://dx.doi.org/10.26420/austinjinfectdis.2023.1084.
Full textAguillón Prada, DL, A. Serrano Lázaro, RC Huerta Bravo, A. Mesejo Arizmendi, JM Segura Roca, JC Sanchis Miñana, C. Sanchis Piqueras, J. Romero Guía, and M. Rodriguez Gimillo. "Brain injury biomarkers and inflammatory markerslike pronostic factors on mortality in patients with spontaneous intracranial hemorrhage (medical-adults intensive care)." Intensive Care Medicine Experimental 3, S1 (October 1, 2015). http://dx.doi.org/10.1186/2197-425x-3-s1-a852.
Full textGarde-García, H., E. Redondo-González, M. Maestro-de las Casas, C. Fernández-Pérez, and J. Moreno-Sierra. "Biomarkers and intermediate-high risk non-muscle invasive bladder cancer: a multivariate analysis of three different cellular pathways with pronostic implications." Clinical and Translational Oncology, August 24, 2020. http://dx.doi.org/10.1007/s12094-020-02476-7.
Full textDissertations / Theses on the topic "Pronostic biomarker"
Sulpice, Laurent. "Rôle du microenvironnement dans la progression du cholangiocarcinome intrahépatique : mécanismes moléculaires impliqués et recherche de biomarqueurs pronostiques." Thesis, Rennes 1, 2014. http://www.theses.fr/2014REN1B001/document.
Full textThe aim of this study was to specifically determine through a translational approach combining basic and clinical research, the role of the microenvironment in the tumor progression of intrahepatic cholangiocarcinoma (ICC). By gene expression profiling, we identified a signature that significantly discriminate the tumor stroma from non-tumor fibrous tissue, and the functional analysis of differentially expressed genes showed an enrichment in genes of the extracellular matrix , the cell cycle, the TGFb pathway and stem cell markers. Tissue microarray analysis using an independent cohort of ICC patients validated at a protein level the increased expression of selected candidate genes. Statistical analysis between basic and clinical data demonstrated that the stromal expression of Osteopontin was an independent prognostic marker for overall and disease-free survival. We also demonstrated that the preoperative serum level of Osteopontin was significantly higher in ICC patients than in healthy subjects. Our results identified the best diagnostic threshold to 57,8 ng/ml, associated with a sensitivity and specificity reaching to 80 and 100%, respectively. Moreover, we showed that level expression of stem cell markers such as EpCAM and CD44 in tumor stroma as well as in the fibrous non tumor liver tissue was correlated with recurrence, suggesting the pivotal role of cancer stem cells in ICC prognosis. In conclusion, our study confirmed the major involvement of the microenvironment in the progression of CCIH, allowed to identify two new prognostic tumor biomarkers, and highlighted new pathways for targeted therapeutics
Ozenne, Brice. "Modélisation statistique pour la prédiction du pronostic de patients atteints d’un Accident Vasculaire Cérébral." Thesis, Lyon 1, 2015. http://www.theses.fr/2015LYO10169/document.
Full textStroke is a serious disease that needs emergency health care. Due to potential side effects, the patients must fulfil very restrictive criteria for eligibility to the curative treatment. These criteria limit drastically the accessibility to treatment : currently, an estimated 10% of stroke patients are treated. The purpose of this work was to develop a statistical framework for stroke predictive models. We deal with assessing predictive models in a low-prevalence context, building predictive models for spatial data, making volumic predictions depending on the treatement option, and performing image segmentation in presence of image artefacts. Tools developed in this thesis have been collected in an R package named MRIaggr
Vereecken, Pierre. "Contribution to the study of diagnosis and prognosis of cutaneous melanoma: is Galectin-3 a relevant biomarker ?" Doctoral thesis, Universite Libre de Bruxelles, 2008. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210417.
Full textLe mélanome, véritable problème de santé publique qui est susceptible d’atteindre 1 individu sur 75 dans nos contrées, reste un tumeur mal comprise avec des évolutions parfois incertaines, et des traitements dont l’efficacité est limitée. Le diagnostic histologique du mélanome lui-même peut parfois représenter une difficulté pour le clinicien et l’expert pathologiste ou dermatopathologiste. La couleur (hyperpigmentation d’un lésion pigmentée), dont l’évaluation d’ailleurs reste subjective à défaut de standardisation, ne peut à elle seule signer la malignité d’une lésion pigmentée. Globalement l’évolution d’un patient est prédite par l’indice de Breslow qui traduit en mm l’épaisseur de la tumeur. Si cet indice dépasse 1mm, le risque métastatique augmente, justifiant la réalisation de bilans extensifs de suivi. Ceci dit, certains mélanomes épais peuvent ne pas présenter de caractéristiques d’aggressivité, alors que des mélanomes fins sont parfois mortels. L’identification de marqueurs moléculaires est donc impérative, tant pour développer des stratégies thérapeutiques ciblées, que pour affiner le diagnostic et le pronostic d’un patient.
Après avoir mis en évidence par immunohistochimie une expression de Gal-3 par les mélanocytes, nous avons démontré une surexpression de cette protéine par les mélanocytes tumoraux. Nous avons démontré également sur des lésions primitives qu’à l’aggressivité mesurée selon l’indice de Breslow correspondait une diminution de cette surexpression. Cette observation a pu être confirmée par un modèle de greffe orthotopique chez la souris nude.
Nous nous somme intéressés par la suite à la détection de la protéine dans le sérum, et nous avons constaté, un taux élevé de Gal-3 dans le sérum de patients en stade métastatique avancé, ce taux élevé pouvant s’expliquer tant par la charge tumorale que par la présence d’une inflammation, d’ailleurs bien connue chez le patient cancéreux en stade avancé. Le rôle antiapoptotique de la Gal-3 nous a alors amené à préciser la valeur prédictive et pronostique de cette protéine. L’hypothèse d’une potentielle action bénéfique sur la réponse immunitaire des patients atteints de mélanome qui ont été vaccinés a été rejetée. La Gal-3 sérique s’est révélée comme facteur de mauvais pronostic chez les patients métastatiques, et une analyse multivariée avec la définition d’une valeur « cut-off » de 10 ng/ml a permis de montrer une valeur pronostique indépendante, supérieure à la S100B et à la CRP.
Doctorat en Sciences médicales
info:eu-repo/semantics/nonPublished
Raposo, Nicolas. "Apport des nouveaux biomarqueurs sur la physiopathologie, le diagnostic et le pronostic de l'angiopathie amyloïde cérébrale." Thesis, Toulouse 3, 2019. http://www.theses.fr/2019TOU30340.
Full textSporadic cerebral amyloid angiopathy (CAA) is a common cerebral small vessel disease with growing interest among clinicians and researchers. CAA occurs frequently in elderly subjects and is a major and increasing cause of intracerebral hemorrhage and dementia. Over the last several years, important advances have been made in this research field, with the development of new biomarkers for the disease, thanks to advances in structural, functional and molecular neuroimaging. Anti-amyloid therapies are currently in development and clinical trial assessing anticoagulant strategy in these patients are ongoing, raising the perspective of future treatments. Hence, evaluating these new biomarkers of CAA seems particularly important. The main objective of this PhD thesis was to get insights into novel neuroimaging biomarkers and their potential clinical applications in patients with CAA. We conducted 6 clinical research studies exploring new hemorrhagic (cortical superficial siderosis, convexity subarachnoid hemorrhage) and non-hemorrhagic (enlarged perivascular spaces, amyloid PET, brain network connectivity) markers of the disease. Biomarkers are evaluated as diagnostic tools and their clinical relevance, as prognostic markers are investigated
M'Rabet, Manel. "Identification d'un nouveau biomarqueur, facteur pronostic et cible dans le cancer du sein triple négatif & développement préclinique d'une thérapie ciblée sur l'utilisation d'anticorps monoclonaux conjugués." Thesis, Aix-Marseille, 2017. http://www.theses.fr/2017AIXM0204.
Full textNectin-4 has been identified as a breast and ovarian biomarker at CRCM. Nectin-4 is a celladhesion molecule belonging to the immunoglobulin superfamily and is involved in ectodermaldevelopment in human. Nectin-4 has been recently identified as the epithelial receptor for themeasles virus. Together, this work has been rewarded by Inserm in 2012 (Prix del’Innovation). During my thesis, I have characterized nectin-4 as new prognosis biomarker andtherapeutic target in 63% of triple-negatif breast cancer (TNBC) . TNBCs represent 20% ofbreast cancer and are associated with poor prognosis as there is no exisiting targeted therapy.These results open the possibility for Antibody Drug Conjugate (ADC)-based targetedtreatment of primary and advanced TNBCs similar to trastuzumab-emtansine for HER2-positive breast cancers. We selected and validated a monoclonal antibody against nectin-4ectodomain and developed an ADC conjugated to monomethyl auristatin-E (MMAE). Weassessed the therapeutic efficiency of this ADC in vitro and in vivo in localised and metastaticTNBC Patient derived Xenografts (PDXs). In vivo, this ADC induced rapid, complete anddurable responses on nectin-4-positive xenograft TNBC samples including primary tumours,metastatic lesions, and local relapses. This antibody has been humanized, patented and iscurrently under clinical development by a pharmaceutical company testing toxicity and efficacyin cynomolgus monkeys
Jiao, Yunlong. "Pronostic moléculaire basé sur l'ordre des gènes et découverte de biomarqueurs guidé par des réseaux pour le cancer du sein." Thesis, Paris Sciences et Lettres (ComUE), 2017. http://www.theses.fr/2017PSLEM027/document.
Full textBreast cancer is the second most common cancer worldwide and the leading cause of women's death from cancer. Improving cancer prognosis has been one of the problems of primary interest towards better clinical management and treatment decision making for cancer patients. With the rapid advancement of genomic profiling technologies in the past decades, easy availability of a substantial amount of genomic data for medical research has been motivating the currently popular trend of using computational tools, especially machine learning in the era of data science, to discover molecular biomarkers regarding prognosis improvement. This thesis is conceived following two lines of approaches intended to address two major challenges arising in genomic data analysis for breast cancer prognosis from a methodological standpoint of machine learning: rank-based approaches for improved molecular prognosis and network-guided approaches for enhanced biomarker discovery. Furthermore, the methodologies developed and investigated in this thesis, pertaining respectively to learning with rank data and learning on graphs, have a significant contribution to several branches of machine learning, concerning applications across but not limited to cancer biology and social choice theory
Mboup, Bassirou. "Validation de biomarqueurs prédictifs de la réponse au traitement : extension des courbes de prédictivités à un critère de jugement censuré On Evaluating How Well a Biomarker Can Predicttreatment Response With Survival Data Insights for Quantifying the Long-Term Benefit of Immunotherapy Using Quantile Regression." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASR011.
Full textIt is common in oncology to want to determine whether or not only a subgroup of patients will benefit from a treatment. This is one of the paradigms of personalized or stratified medicine. Predictive biomarkers are often used to select these patients and most of these biomarkers are continuous. For example genomic signatures such as Oncotype-Dx. A methodology for evaluating a biomarker with binary response has been proposed in the literature. The objective of this thesis is in first work to extend this methodology with right-censored data and to determine at different prediction horizons the optimal threshold of the biomarker beyond which treatment will be attributed or avoided. A model whose estimates of these parameters are based on inverse censored probability weights is proposed to provide consistent estimators. An extension of the predictiveness curves will be carried out. In a second work, a test of the calibration hypothesis with right-censored data has been proposed. This test will be valid beyond the 60% censoring rate contrary to those already existing in the literature and will allow us to study the influence of a bad calibration on the determination of the threshold. A third work focuses on the determination of the threshold of a new prognostic biomarker for ovarian cancer in order to classify patients at high or low risk of relapse. Finally, a fourth work consists in illustrating the relevance of the censored quantile regression for quantifying the long term benefit of immunotherapy in a reconstructed data set from a single randomized trial. The proposed methodology can be readilty employed for individual patients data meta-analysis to summarize evidence of immunotherapy as quantified by the upper quantile of the survival distribution
Nguyen, Thanh Nhan. "Deeper insights into the deleterious roles of ZNF217 in tumorigenesis and the identification of a novel and functional interplay between ZNF217 and ERalpha in breast cancer." Thesis, Lyon 1, 2013. http://www.theses.fr/2013LYO10331.
Full textZNF217 is a candidate oncogene encoding for a Krüppel-like transcription factor. This study aims at exploring deeper insights on deleterious roles of ZNF217 and the prognostic significance of ZNF217 expression in breast cancers. We found that: (i) high levels of ZNF217 expression (at both mRNA and protein levels) are associated with poor prognosis in breast cancer patients, more particularly in ER+/Luminal/Luminal A breast cancers; (ii) ZNF217 induces epithelial-mesenchymal transition (EMT) in human mammary epithelial cells via the TGF-beta-activated Smad signaling pathway; (iii) in vitro ZNF217 stimulates several aggressive phenotypes in breast cancer cells, including anchorage-independent growth, cell migration and invasion; (iv) ZNF217 stimulates tumor growth and promotes the development of metastases in vivo; (v) ZNF217 binds with ERalpha and enhances 17beta- estradiol (E2)-induced ERalpha transactivation by increasing the recruitment of ERalpha to estrogen-responsive elements (EREs); (vi) ZNF217 increases mammosphere formation in ER– or ER+ breast cancer cell lines; (vii) ZNF217 confers resistance to endocrine therapy (tamoxifen) in ER+ breast cancer cells, and (viii) high levels of ZNF217 expression are associated with shorter relapse-free survival (RFS) in breast cancer patients treated with endocrine therapy only. Our findings suggest that ZNF217 expression represents a novel and powerful prognostic biomarker in ER+/Luminal/Luminal A breast cancers, allowing the re-stratification of these “good prognosis” breast cancers, which are currently not further classified by any other biomarkers available. In conclusion, ZNF217 could be a potential therapeutic target for a personalized treatment strategy in patients overexpressing ZNF217, in particular in ER+/ZNF217+ patients
Le, Bescont Aurore. "Etude des expressions hors-contexte de gènes tissus-spécifiques dans le cancer du poumon." Thesis, Grenoble, 2013. http://www.theses.fr/2013GRENV068/document.
Full textEach human cell contains a genome carrying all the genetic information necessary for the constitution of the whole organism. However, differentiated cells express only a restricted repertoire of genes. The control of gene expressions is fundamental for the establishment and maintenance of cell identity. The first level of gene expression regulation, the transcriptional control, is based on the integrity of the gene sequence but also on its accessibility, itself dependent on a set of epigenetic mechanisms that control chromatin dynamics. In a pathological context, genetic and epigenetic alterations can lead to gene deregulations and altered cellular functions. During the bronchial carcinogenesis, lung cancer cells acquire a capacity of uncontrolled proliferation and an increased resistance to cell death. These phenotypic characteristics, favoring tumor growth, result from abnormalities that accumulate in the genome of cancer cells. These are somatic genetic alterations, from point mutations to large-scale chromosomal rearrangements, but also a global disruption of the epigenetic landscape – both leading to an identity crisis and to gene deregulations. While the phenomenon of aberrant gene repression (including repression of tumor suppressor genes) has been extensively studied, ectopic activation of normally silent genes remains poorly understood. Our hypothesis is that the “out of context” expression of tissue-specific genes not only could be involved in carcinogenesis, but could also be of high interest as tumor biomarkers or novel therapeutic targets. In this work, we focused on the prolactin-encoding PRL gene, normally mainly expressed in the pituitary gland and absent from non-tumor lung. We detected an ectopic PRL gene activation in 10% of lung tumors, mainly neuroendocrine tumors. We observed that PRL expression is associated with aggressive tumors and a poor prognosis for patients. We also found that the expression of PRL is associated with an increased resistance of lung cancer cells to a genotoxic stress. Unexpectedly, our data suggest that the oncogenic action of PRL expression is not based on the conventional mechanisms of prolactin action, and we did not confirm the initial hypothesis of a secretion by lung cancer cells of the prolactin hormone, and its action in an autocrine/paracrine loop within the tumor through the activation of the prolactin receptor. Indeed, the receptor is absent in lung cancer cells and the transcribed PRL mRNA is missing its first exons, possibly leading to the production of a truncated prolactin protein, without a functional signal peptide, therefore unable to follow the classical secretion pathway and retained inside the cancer cell. Although the detailed mechanisms of prolactin action in lung cancer remain to be deciphered, our study suggests that the ectopic expression of PRL could be used as a new therapeutic target in the treatment of aggressive lung tumors. This work, also including additional results on three testis-specific genes aberrantly expressed in lung tumors (BRDT, SOX30 and SPATA22) highlights the interest of studying ectopic gene expressions in tumor cells, which can provide new diagnosis and prognosis tools for clinicians as well as new targeted approaches that could be used in addition to conventional lung cancer therapies, which are presently insufficient to limit the high mortality due to lung neoplasms
Dubois, Christelle. "Confirmation de biomarqueurs pour le pronostic du sepsis et développement de tests rapides High plasma level of S100A8/S100A9 and S100A12 at admission indicates a higher risk of death in septic shock patients Top-down and bottom-up proteomics of circulating S100A8/S100A9 complexes in plasma of septic shock patients." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLS521.
Full textSepsis is the 3rd leading cause of death in Western countries, with a mortality rate between 20 and 50% depending on the severity. The 'prediction' of the patient's clinical outcome is essential to establish the most appropriate treatment. Some inflammation or infection markers protein (CRP, procalcitonin) are cited for clinical follow-up of patients but lack specificity for sepsis. On the other hand, "omics" studies have generated lists of potential biomarkers of sepsis prognosis. However, none have yet been validated and/or confirmed based on the severity of the sepsis and the patient's fate. This requires access not only to fully characterized patient cohorts but also to robust and validated quantitative methods. Mass spectrometry provides a high level of specificity and high multiplex capacity and that would allow to confirm the interest of one or more of these proteins for sepsis prognosis. Immunological assays provide, in addition to sensitivity and specificity, a simple and rapid routine clinical implementation. First, a list of biomarkers identified with patient cohorts was established from the literature. Then, methods to quantify these candidate biomarkers were developed. On the one hand, we have been interested in quantifying calgranulins in plasma by developing ELISAs and mass spectrometry methods using bottom-up and top-down approaches. On the other hand, two multiplex quantification methods by mass spectrometry with and without immunopurification step according to protein concentrations have been developed to verify the relevance of the list of potential biomarkers. All these methods were applied to a cohort of 49 patients with septic shock