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1.
Cells ; 11(22)2022 11 14.
Artículo en Inglés | MEDLINE | ID: mdl-36429023

RESUMEN

The HIF-1 and HIF-2 (HIF1/2) hypoxia responses are frequently upregulated in cancers, and HIF1/2 inhibitors are being developed as anticancer drugs. How could cancers resist anti-HIF1/2 therapy? We studied metabolic and molecular adaptations of HIF-1ß-deficient Hepa-1c4, a hepatoma model lacking HIF1/2 signalling, which mimics a cancer treated by a totally effective anti-HIF1/2 agent. [1,2-13C2]-D-glucose metabolism was measured by SiDMAP metabolic profiling, gene expression by TaqMan, and metabolite concentrations by 1H MRS. HIF-1ß-deficient Hepa-1c4 responded to hypoxia by increasing glucose uptake and lactate production. They showed higher glutamate, pyruvate dehydrogenase, citrate shuttle, and malonyl-CoA fluxes than normal Hepa-1 cells, whereas pyruvate carboxylase, TCA, and anaplerotic fluxes decreased. Hypoxic HIF-1ß-deficient Hepa-1c4 cells increased expression of PGC-1α, phospho-p38 MAPK, and PPARα, suggesting AMPK pathway activation to survive hypoxia. They had higher intracellular acetate, and secreted more H2O2, suggesting increased peroxisomal fatty acid ß-oxidation. Simultaneously increased fatty acid synthesis and degradation would have "wasted" ATP in Hepa-1c4 cells, thus raising the [AMP]:[ATP] ratio, and further contributing to the upregulation of the AMPK pathway. Since these tumour cells can proliferate without the HIF-1/2 pathways, combinations of HIF1/2 inhibitors with PGC-1α or AMPK inhibitors should be explored.


Asunto(s)
Proteínas Quinasas Activadas por AMP , Peróxido de Hidrógeno , Humanos , Proteínas Quinasas Activadas por AMP/metabolismo , Hipoxia de la Célula/fisiología , Hipoxia/metabolismo , Factor 1 Inducible por Hipoxia/metabolismo , Ácidos Grasos/metabolismo , Adenosina Trifosfato/metabolismo
2.
Endocr Relat Cancer ; 29(10): R157-R172, 2022 10 01.
Artículo en Inglés | MEDLINE | ID: mdl-35938916

RESUMEN

Pituitary neuroendocrine tumours (PitNETs) associated with paragangliomas or phaeochromocytomas are rare. SDHx variants are estimated to be associated with 0.3-1.8% of PitNETs. Only a few case reports have documented the association with MAX variants. Prolactinomas are the most common PitNETs occurring in patients with SDHx variants, followed by somatotrophinomas, clinically non-functioning tumours and corticotrophinomas. One pituitary carcinoma has been described. SDHC, SDHB and SDHA mutations are inherited in an autosomal dominant fashion and tumorigenesis seems to adhere to Knudson's two-hit hypothesis. SDHD and SDHAF2 mutations most commonly have paternal inheritance. Immunohistochemistry for SDHB or MAX and loss of heterozygosity analysis can support the assessment of pathogenicity of the variants. Metabolomics is promising in the diagnosis of SDHx-related disease. Future research should aim to further clarify the role of SDHx and MAX variants or other genes in the molecular pathogenesis of PitNETs, including pseudohypoxic and kinase signalling pathways along with elucidating epigenetic mechanisms to predict tumour behaviour.


Asunto(s)
Neoplasias de las Glándulas Suprarrenales , Factores de Transcripción con Cremalleras de Leucina de Carácter Básico/genética , Tumores Neuroendocrinos , Paraganglioma , Neoplasias Hipofisarias , Neoplasias de las Glándulas Suprarrenales/genética , Factor X/genética , Factor X/metabolismo , Mutación de Línea Germinal , Humanos , Mutación , Tumores Neuroendocrinos/genética , Paraganglioma/patología , Neoplasias Hipofisarias/genética , Neoplasias Hipofisarias/patología , Succinato Deshidrogenasa/genética
3.
Metabolites ; 7(3)2017 Aug 09.
Artículo en Inglés | MEDLINE | ID: mdl-28792436

RESUMEN

This special issue is designed to present the latest research findings and developments in the field of cancer metabolism. Cancer is a complex disease and a common term used for more than 100 diseases, whereas metabolism describes a labyrinth of complex biochemical pathways in the cell. It is essential to understand metabolism in the context of cancer for the early detection of disease biomarkers and to find proper targets for potential treatments. The articles presented in this issue cover metabolic aspects of brain tumours, breast tumours, paraganglioma, and the metabolic activity of tumour suppressor gene p53.

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