Author

Juan Carlos García‐Cañaveras

Instituto de Investigación Sanitaria La FeORCID 0000-0001-7112-1537Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:metabolomics· 2 Research Focus:software / tool· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cancer & tumor microenvironment· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Agustín LahoziD· 3 shared Maria Isabel Alcoriza‐BalagueriD· 2 shared Alberto Mora PerdigueroiD· 1 shared Ana García GarcíaiD· 1 shared Antonio Giráldez Trujillo· 1 shared Carlos del Pozo-RojasiD· 1 shared Clara Luque‐RiojaiD· 1 shared David Calzón LozanoiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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3 shared papersCancer Biology

Agustín LahozORCID

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3 papers

Recent·Most cited

Cancer BiologyNature CommunicationsPeer-reviewedFeb 16, 2025

ELOVL6 as a Therapeutic Target: Disrupting c-MYC-Driven Lipid Metabolism to Enhance Chemotherapy in Pancreatic Cancer

Ana García García, María Ferrer Aporta, Germán Vallejo-Palma…·Victor Javier Sanchez-Arevalo Lobo

This study identifies ELOVL6 as a therapeutic target in pancreatic cancer by showing its role in c-MYC-driven lipid metabolism and its impact on chemotherapy efficacy.

21 citationstop 1%

mousehuman

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Systems BiologyBriefings in BioinformaticsPeer-reviewedFeb 4, 2023

FAMetA: a mass isotopologue-based tool for the comprehensive analysis of fatty acid metabolism

Maria Isabel Alcoriza‐Balaguer, Juan Carlos García‐Cañaveras, Marta Benet…·Agustín Lahoz

FAMetA is an R-package and web tool that analyzes fatty acid metabolism using 13C mass isotopologue profiles to estimate metabolic pathways and identify new fatty acids.

19 citations

metabolomicsstatistical model

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BioinformaticsBioinformaticsPeer-reviewedAug 24, 2022

LipidMS 3.0: an R-package and a web-based tool for LC-MS/MS data processing and lipid annotation

Maria Isabel Alcoriza‐Balaguer, Juan Carlos García‐Cañaveras, Francisco Javier Ripoll Esteve…·Agustín Lahoz

LipidMS 3.0 processes and annotates LC-MS/MS lipidomics data using DDA and DIA modes, offering a complete workflow and web-based interface.

14 citations

humanmetabolomics

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