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Palabras clave – provistas por la editorial

pheochromocytoma; paraganglioma; genetics; non-coding RNA; malignancy; biomarker; treatment; adaptive metabolism; adrenal gland; conn adenoma; fatty acid metabolism; ferroptosis; hyperaldosteronism; metabolic reprogramming; β-oxidation; PPARα; tumor microenvironment; Next Generation Sequencing; hereditary cancer; endocrine tumor syndrome; KCNJ5 somatic mutation; pulse wave velocity; aldosterone-producing adenoma; adrenalectomy; propensity score matching; arterial stiffness; pheochromocytomas; paragangliomas; mutations; susceptibility genes; driver mutations; hereditary; germline; somatic; environment; variants; tumor suppressor genes; metastatic; RNAseq; next generation sequencing; adrenocortical carcinoma; in silico analysis; machine learning; bioinformatic clustering; biomarker prediction; aldosterone producing adenoma; ATP2B3; K416-F418delinsN mutation; primary aldosteronism; PPGL; telomeres; TERT; ATRX; NOP10; prognostic biomarker; ALT; phaeochromocytoma; cancer; mitochondrial complex II; zebrafish; therapy; drug discovery; redox balance pathway; Vitamin C; mitotane; H295 strains; microRNA; aldosterone; circulating; adrenocortical; transcriptomics; epigenetics; metabolomics; epidemiology; genetic analysis; mortality; surveillance; TP53 R337H; genetic testing; adrenocortical tumor; neonatal screening; screening; adenoma; adrenal; tissue; artificial intelligence; neural network; n/a