0000000000452415

AUTHOR

María García-flores

showing 2 related works from this author

A Tetra-Panel of Serum Circulating miRNAs for the Diagnosis of the Four Most Prevalent Tumor Types

2020

The purpose of this study is to clinically validate a series of circulating miRNAs that distinguish between the 4 most prevalent tumor types (lung cancer (LC)

OncologyMaleLung NeoplasmsColorectal cancerlcsh:ChemistryProstate cancer0302 clinical medicinelcsh:QH301-705.5SpectroscopyEarly Detection of CancerAged 80 and over0303 health sciencesArea under the curveGeneral MedicineMiddle AgedEarly diagnosisprostate cancer3. Good healthComputer Science Applications030220 oncology & carcinogenesisArea Under CurveFemaleColorectal NeoplasmsAdultmedicine.medical_specialtyBreast Neoplasmscolorectal cancerCatalysisArticleInorganic Chemistry03 medical and health sciencesBreast cancerbreast cancerInternal medicinemedicineHumansCirculating MicroRNAPhysical and Theoretical ChemistryLung cancerMolecular Biology030304 developmental biologyAgedNeoplasm StagingReceiver operating characteristicbusiness.industryOrganic ChemistryCancerProstatic Neoplasmsmedicine.diseaseCirculating MicroRNAlung cancerlcsh:Biology (General)lcsh:QD1-999ROC CurveCase-Control StudiesMultivariate Analysiscirculating microRNAsbusinessInternational Journal of Molecular Sciences
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Targeted Metabolomics Analyses Reveal Specific Metabolic Alterations in High-Grade Prostate Cancer Patients

2020

Prostate cancer (PCa) is a hormone-dependent tumor characterized by an extremely heterogeneous prognosis. Despite recent advances in partially uncovering some of the biological processes involved in its progression, there is still an urgent need for identifying more accurate and specific prognostic procedures to differentiate between disease stages. In this context, targeted approaches, focused on mapping dysregulated metabolic pathways, could play a critical role in identifying the mechanisms driving tumorigenesis and metastasis. In this study, a targeted analysis of the nuclear magnetic resonance-based metabolomic profile of PCa patients with different tumor grades, guided by transcriptom…

Male0301 basic medicineOncologymedicine.medical_specialty030102 biochemistry & molecular biologybusiness.industryProstatic NeoplasmsGeneral ChemistryPrognosismedicine.diseaseBiochemistry03 medical and health sciencesProstate cancer030104 developmental biologyInternal medicinemedicineHumansMetabolomicsNeoplasm GradingbusinessTargeted metabolomicsJournal of Proteome Research
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