Search results for "Lung neoplasms"

showing 10 items of 432 documents

Amazing IL-9: revealing a new function for an “old” cytokine

2012

Th9 cells are a subset of CD4+ Th cells that produce the pleiotropic cytokine IL-9. IL-9/Th9 can function as both positive and negative regulators of immune response, but the role of IL-9/Th9 in tumor immunity is unknown. We examined the role of IL-9/Th9 in a model of pulmonary melanoma in mice. Lack of IL-9 enhanced tumor growth, while tumor-specific Th9 cell treatment promoted stronger antitumor responses in both prophylactic and therapeutic models. Th9 cells also elicited strong host antitumor CD8+ CTL responses by promoting Ccl20/Ccr6-dependent recruitment of DCs to the tumor tissues. Subsequent tumor antigen delivery to the draining LN resulted in CD8+ T cell priming. In agreement with…

Receptors CCR6Lung Neoplasmsmedicine.medical_treatmentBiologyCD8-Positive T-LymphocytesMiceImmunityCell Line TumormedicineAnimalsLack of knowledgeInterleukin 9MelanomaMice KnockoutAntigen PresentationImmunity CellularChemokine CCL20Antitumor immunityMelanomaInterleukin-9General MedicineDendritic CellsT-Lymphocytes Helper-Inducermedicine.diseaseCytokineImmunologyCommentaryImmunotherapySkin cancerFunction (biology)
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Osteopontin shapes immunosuppression in the metastatic niche.

2014

Abstract The matricellular protein osteopontin (OPN, Spp-1) is widely associated with cancer aggressiveness when produced by tumor cells, but its impact is uncertain when produced by leukocytes in the context of the tumor stroma. In a broad study using Spp1−/− mice along with gene silencing in tumor cells, we obtained evidence of distinct and common activities of OPN when produced by tumor or host cells in a spontaneously metastatic model of breast cancer. Different cellular localization of OPN is associated with its distinct activities, being mainly secreted in tumor cells while intracellular in myeloid cells. OPN produced by tumor cells supported their survival in the blood stream, wherea…

STAT3 Transcription FactorCancer ResearchPathologymedicine.medical_specialtyLung NeoplasmsosteopontinCellContext (language use)Breast NeoplasmsT-Lymphocytes RegulatoryMonocytesMicestomatognathic systemCell Line TumormedicineImmune ToleranceAnimalsHumansMyeloid CellsOsteopontinNeoplasm MetastasisCellular localizationImmunosuppression TherapyMice Inbred BALB CMice Inbred C3HimmunosuppressionbiologyArginaseInterleukin-6Matricellular proteinCancerosteopontin; niche; immunosuppressionmedicine.diseaseMice Inbred C57BLnichemedicine.anatomical_structureOncologyTumor progressionCell culturebiology.proteinFemale
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PARD3 Inactivation in Lung Squamous Cell Carcinomas Impairs STAT3 and Promotes Malignant Invasion.

2015

Abstract Correct apicobasal polarization and intercellular adhesions are essential for the appropriate development of normal epithelia. Here, we investigated the contribution of the cell polarity regulator PARD3 to the development of lung squamous cell carcinomas (LSCC). Tumor-specific PARD3 alterations were found in 8% of LSCCs examined, placing PARD3 among the most common tumor suppressor genes in this malignancy. Most PAR3-mutant proteins exhibited a relative reduction in the ability to mediate formation of tight junctions and actin-based protrusions, bind atypical protein kinase C, activate RAC1, and activate STAT3 at cell confluence. Thus, PARD3 alterations prevented the formation of c…

STAT3 Transcription Factorrac1 GTP-Binding ProteinCancer ResearchLung NeoplasmsCellMice NudeRAC1Cell Cycle ProteinsBiologyArticleCell MovementCell Line TumorCell polaritymedicineAnimalsHumansNeoplasm InvasivenessProtein Kinase CAdaptor Proteins Signal TransducingCell ProliferationConfluencyTight junctionBase SequenceCell growthLiver NeoplasmsMembrane ProteinsSequence Analysis DNACell biologymedicine.anatomical_structureOncologyCell cultureMutationCancer researchCarcinoma Squamous CellTranscriptomeIntracellularNeoplasm TransplantationCancer research
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BIBF 1120/ nintedanib : a new triple angiokinase inhibitor-directed therapy in patients with non-small cell lung cancer.

2013

Abstract: Introduction: Several new targeted agents with anti-angiogenic properties have been developed recently, including vandetanib, sunitinib, sorafenib, bevacizumab and others. Tumor development, progression, metastasis are strongly linked to angiogenesis. Targeted agents like bevacizumab, a monoclonal antibody which targets VEGF, have been fully developed in several solid tumors. These new agents strongly advocate that targeting angiogenesis is one of the best approaches for cancer therapy. Areas covered: Those agents that target additional pro-angiogenic intracellular signaling pathways beyond VEGF signaling have also the potential to contribute to anticancer therapies. The authors p…

SorafenibIndolesLung NeoplasmsBevacizumabSettore MED/06 - Oncologia MedicaAngiogenesis InhibitorsPharmacologyVandetanibMetastasischemistry.chemical_compoundCarcinoma Non-Small-Cell LungmedicineAnimalsHumansPharmacology (medical)Lung cancerProtein Kinase InhibitorsPharmacologyNeovascularization Pathologicbusiness.industrySunitinibPharmacology. Therapyanti-angiogenesis BIBF 1120 nintedanib non-small cell lung cancer vascular endothelial growth factorGeneral MedicineProtein-Tyrosine Kinasesmedicine.diseaseVascular endothelial growth factorchemistryCancer researchNintedanibbusinessmedicine.drugExpert opinion on investigational drugs
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Sample size planning for survival prediction with focus on high-dimensional data

2011

Sample size planning should reflect the primary objective of a trial. If the primary objective is prediction, the sample size determination should focus on prediction accuracy instead of power. We present formulas for the determination of training set sample size for survival prediction. Sample size is chosen to control the difference between optimal and expected prediction error. Prediction is carried out by Cox proportional hazards models. The general approach considers censoring as well as low-dimensional and high-dimensional explanatory variables. For dimension reduction in the high-dimensional setting, a variable selection step is inserted. If not all informative variables are included…

Statistics and ProbabilityClustering high-dimensional dataClinical Trials as TopicLung NeoplasmsModels StatisticalKaplan-Meier EstimateEpidemiologyProportional hazards modelDimensionality reductionGene ExpressionFeature selectionKaplan-Meier EstimateBiostatisticsPrognosisBrier scoreSample size determinationCarcinoma Non-Small-Cell LungSample SizeCensoring (clinical trials)StatisticsHumansProportional Hazards ModelsMathematicsStatistics in Medicine
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Bayesian analysis of a disability model for lung cancer survival

2016

Bayesian reasoning, survival analysis and multi-state models are used to assess survival times for Stage IV non-small-cell lung cancer patients and the evolution of the disease over time. Bayesian estimation is done using minimum informative priors for the Weibull regression survival model, leading to an automatic inferential procedure. Markov chain Monte Carlo methods have been used for approximating posterior distributions and the Bayesian information criterion has been considered for covariate selection. In particular, the posterior distribution of the transition probabilities, resulting from the multi-state model, constitutes a very interesting tool which could be useful to help oncolog…

Statistics and ProbabilityLung NeoplasmsEpidemiologyComputer scienceMatemáticasPosterior probabilityBayesian probabilityEstadísticaBiostatisticsAccelerated failure time modelsBayesian inference01 natural sciences010104 statistics & probability03 medical and health sciencesBayes' theoremsymbols.namesake0302 clinical medicineHealth Information ManagementBayesian information criterionCarcinoma Non-Small-Cell LungStatisticsPrior probabilityHumans0101 mathematicsBiología y BiomedicinaNeoplasm StagingInformáticaBayes estimatorBayes TheoremMarkov chain Monte CarloSurvival AnalysisBayesian information criterionMarkov Chains030220 oncology & carcinogenesisMinimum informative priorsymbolsMulti-state modelsRegression AnalysisWeibull distributionMonte Carlo Method
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Sparse kernel methods for high-dimensional survival data

2008

Abstract Sparse kernel methods like support vector machines (SVM) have been applied with great success to classification and (standard) regression settings. Existing support vector classification and regression techniques however are not suitable for partly censored survival data, which are typically analysed using Cox's proportional hazards model. As the partial likelihood of the proportional hazards model only depends on the covariates through inner products, it can be ‘kernelized’. The kernelized proportional hazards model however yields a solution that is dense, i.e. the solution depends on all observations. One of the key features of an SVM is that it yields a sparse solution, dependin…

Statistics and ProbabilityLung NeoplasmsLymphomaComputer sciencecomputer.software_genreComputing MethodologiesBiochemistryPattern Recognition AutomatedArtificial IntelligenceMargin (machine learning)CovariateCluster AnalysisHumansComputer SimulationFraction (mathematics)Molecular BiologyProportional Hazards ModelsModels StatisticalTraining setProportional hazards modelGene Expression ProfilingComputational BiologyComputer Science ApplicationsSupport vector machineComputational MathematicsKernel methodComputational Theory and MathematicsRegression AnalysisData miningcomputerAlgorithmsSoftwareBioinformatics
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Available evidence on re-irradiation with stereotactic ablative radiotherapy following high-dose previous thoracic radiotherapy for lung malignancies

2015

Patients affected with intra-thoracic recurrences of primary or secondary lung malignancies after a first course of definitive radiotherapy have limited therapeutic options, and they are often treated with a palliative intent. Re-irradiation with stereotactic ablative radiotherapy (SABR) represents an appealing approach, due to the optimized dose distribution that allows for high-dose delivery with better sparing of organs at risk. This strategy has the goal of long-term control and even cure. Aim of this review is to report and discuss published data on re-irradiation with SABR in terms of efficacy and toxicity. Results indicate that thoracic re-irradiation may offer satisfactory disease c…

ThoraxRe-Irradiationmedicine.medical_specialtyLung NeoplasmsStereotactic body radiotherapymedicine.medical_treatmentLung cancer; Re-irradiation; Stereotactic ablative radiotherapy; Stereotactic body radiotherapy; Thoracic relapseLung cancer; Re-irradiation; Stereotactic ablative radiotherapy; Stereotactic body radiotherapy; Thoracic relapse; Humans; Lung Neoplasms; Patient Selection; Radiotherapy Dosage; Thorax; Radiosurgery; Oncology; Radiology Nuclear Medicine and ImagingSABR volatility modelRadiosurgeryRadiosurgeryNuclear Medicine and ImagingAblative casemedicineHumansRadiology Nuclear Medicine and imagingLung cancerThoracic relapsebusiness.industryPatient SelectionRetrospective cohort studyRadiotherapy DosageGeneral MedicineThoraxmedicine.diseaseRadiation therapyOncologyRe-irradiationRadiologyStereotactic ablative radiotherapyLung cancerbusinessRadiology
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Classification of hospital pathways in the management of cancer: application to lung cancer in the region of burgundy.

2013

Abstract Context : The evaluation of national cancer plans is an important aspect of their implementation. For this evaluation, the principal actors in the field (doctors, nurses, etc.) as well as decision-makers must have access to information that is reliable, synthetic and easy to interpret, and which reflects the implementation process in the field. We propose here a methodology to make this type of information available in the context of reducing inequalities with regard to access to healthcare for patients with lung cancer in the region of Burgundy. Methods : We used the national medico-administrative DRG-type database, which gathers together all hospital stays. By using this database…

TypologyMaleCancer Researchmedicine.medical_specialtyPediatricsLung NeoplasmsEpidemiologyContext (language use)Health careEpidemiologymedicineInformation systemHumansNeighbourhood (mathematics)AgedRetrospective Studiesbusiness.industryMedical recordMiddle AgedConfidence intervalHospitalizationOncologyFamily medicineCritical PathwaysHospital Information SystemsFemaleFrancebusinessCancer epidemiology
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Endothelin-1-Mediated Drug Resistance in EGFR-Mutant Non-Small Cell Lung Carcinoma.

2020

Abstract Progression on therapy in non-small cell lung carcinoma (NSCLC) is often evaluated radiographically, however, image-based evaluation of said therapies may not distinguish disease progression due to intrinsic tumor drug resistance or inefficient tumor penetration of the drugs. Here we report that the inhibition of mutated EGFR promotes the secretion of a potent vasoconstrictor, endothelin-1 (EDN1), which continues to increase as the cells become resistant with a mesenchymal phenotype. As EDN1 and its receptor (EDNR) is linked to cancer progression, EDNR-antagonists have been evaluated in several clinical trials with disappointing results. These trials were based on a hypothesis that…

Vascular Endothelial Growth Factor ACancer ResearchLung NeoplasmsAmbrisentanOncology and CarcinogenesisDrug ResistanceBiological AvailabilityAntineoplastic AgentsDrug resistanceCell LineMiceErlotinib HydrochlorideGefitinibIn vivomedicineAnimalsHumansOncology & CarcinogenesisNon-Small-Cell LungProtein Kinase InhibitorsLungCancerTumor microenvironmentTumorEndothelin-1business.industryCarcinomaLung CancerCancerEvaluation of treatments and therapeutic interventionsGefitinibmedicine.diseaseEndothelin 1Xenograft Model Antitumor AssaysErbB ReceptorsOncologyVasoconstriction5.1 Pharmaceuticals6.1 PharmaceuticalsCancer cellMutationCancer researchNeoplasmDevelopment of treatments and therapeutic interventionsbusinessmedicine.drug
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