Investigator

Gabriela Elizabeth Campos-Viguri

Instituto Politcnico Nacional

GECGabriela Elizabet…
Papers(3)
Exometabolome and Mol…Mortality burden of m…MiR-21 Regulates Grow…
Collaborators(10)
Gloria Fernández-Tila…Hilda Jiménez-WencesJulio Ortiz-OrtizMarco Antonio Leyva-V…Marco Antonio Ramírez…Maria Elena Moreno-Go…Napoleón Navarro-TitoAbraham Pedroza-TorresAdán Arizmendi-IzazagaAna Karen Herrera-Var…
Institutions(3)
Instituto Politcnico …Universidad Autnoma D…Instituto Nacional De…

Papers

Exometabolome and Molecular Signatures Associated with HPV 16 in Cervical Cancer: Integrative Metabolomic and Transcriptomic Analysis for Biomarker Discovery

Cervical cancer (CC) represents a major public health concern, ranking as the fourth most frequently diagnosed cancer and one of the leading causes of cancer-related mortality among middle-aged women worldwide. CC is caused by persistent infection with high-risk human papillomaviruses (HR-HPVs), with HPV 16 being the cause of more than 50% of CC cases. In this study, the exometabolome of the HPV 16-positive cell lines SiHa and Ca Ski, as well as the HPV 16-negative control cell line C-33 A, was evaluated. The exometabolome was validated through molecular signatures using a transcriptomic approach to identify genes encoding cellular metabolic enzymes. The exometabolome was analyzed using 1H nuclear magnetic resonance spectroscopy (1H-NMR). Exometabolomic profiles were subsequently compared through both multivariate and univariate statistical analyses to identify significant differences between cell lines. Molecular signatures were analyzed from the GSE9750 dataset obtained from the GEO database. Exometabolic profiling of the HPV 16 positive cell lines showed higher concentrations of leucine, isoleucine, valine, lysine, methionine, glutamine, ornithine, choline, glucose, and tryptophan. An expression analysis showed increased expression of enzymes involved in amino acid synthesis, the tricarboxylic acid cycle, glycolysis, the pentose phosphate pathway, galactose metabolism, and HIF-1α. These data suggest metabolites and metabolism-associated genes that can be used as non-invasive, stable diagnostic and prognostic biomarkers, as well as therapeutic targets for CC in the presence of HPV 16.

3Papers
15Collaborators
Uterine Cervical NeoplasmsBiomarkers, TumorUterine NeoplasmsCell Line, TumorPapillomavirus InfectionsNeoplasms