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Enregistrement W4328053950 · doi:10.1016/j.jcmgh.2023.02.015

PFKFB4 Is a Metabolic Driver of HCC Progression and Chemoresistance Through ROS Mitigation

2023· letter· en· W4328053950 sur OpenAlexfundno aff
Paula Olaizola, Jesús M. Bañales

Notice bibliographique

RevueCellular and Molecular Gastroenterology and Hepatology · 2023
Typeletter
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueCancer, Hypoxia, and Metabolism
Établissements canadiensnon disponible
Organismes subventionnairesInstitute of GeneticsUniversidad de NavarraInstituto de Salud Carlos IIIIkerbasque, Basque Foundation for ScienceMedical Research CouncilEuskal Herriko UnibertsitateaEuropean Regional Development FundPSC Partners Seeking a CureEusko JaurlaritzaEuropean Commission
Mots-clésHepatocellular carcinomaCancer researchCancerScopusReprogrammingMedicineCancer cellTumor progressionInternal medicineBioinformaticsOncologyCellBiologyMEDLINEGeneticsBiochemistry

Résumé

récupéré en direct d'OpenAlex

Hepatocellular carcinoma (HCC) is one of the most frequent malignancies and the third leading cause of cancer-related death worldwide, representing a major social and health problem.1Vogel A. Meyer T. Sapisochin G. et al.Hepatocellular carcinoma.Lancet. 2022; 400: 1345-1362Abstract Full Text Full Text PDF PubMed Scopus (165) Google Scholar The heterogeneity of HCCs at genomic, metabolic, and immune levels, together with other features, compromise the success of therapies.2Llovet J.M. Kelley R.K. Villanueva A. et al.Hepatocellular carcinoma.Nat Rev Dis Primers. 2021; 7: 6Crossref PubMed Scopus (1956) Google Scholar,3Llovet J.M. Ricci S. Mazzaferro V. et al.Sorafenib in advanced hepatocellular carcinoma.N Engl J Med. 2008; 359: 378-390Crossref PubMed Scopus (9537) Google Scholar In particular, metabolic reprogramming is a well-stablished hallmark of cancer. To meet the high demand of energy and biomaterials to support uncontrolled growth, tumor cells acquire metabolic adaptations in response to a wide variety of extrinsic and intrinsic cell signals and remodel their nutrient absorption, energy production, and biomolecule synthetic mechanisms.4Faubert B. Solmonson A. DeBerardinis R.J. Metabolic reprogramming and cancer progression.Science. 2020; 368: eaaw5473Crossref Scopus (722) Google Scholar These metabolic changes promote malignant cell transformation, as well as cancer cell growth and resistance to drugs.4Faubert B. Solmonson A. DeBerardinis R.J. Metabolic reprogramming and cancer progression.Science. 2020; 368: eaaw5473Crossref Scopus (722) Google Scholar In this issue of Cellular and Molecular Gastroenterology and Hepatology, Kam et al5Kam C.S. Wai-Hung Ho D. Sheung-In Ming V. et al.PFKFB4 drives the oncogenicity in TP53-mutated hepatocellular carcinoma in a phosphatase-dependent manner.Cell Mol Gastroenterol Hepatol. 2023; 15: 1325-1350Abstract Full Text Full Text PDF PubMed Scopus (1) Google Scholar investigated the potential role of phosphofructokinase-fructose bisphosphatase 4 (PFKFB4), an activator of the key regulatory enzyme of glycolysis phosphofructokinase 1 (PFK1), in the pathogenesis of HCC. The investigators found that PFKFB4 expression was upregulated in HCC tumors from 3 independent cohorts of patients compared to non-malignant liver tissues, being associated with larger tumor size, advanced tumor stage or invasion, and reduced patient overall survival. Of note, the expression of PFKFB4 in HCC was also associated with the presence of TP53 gene mutations. These findings were validated further using Clustered regularly interspaced short palindromic repeats - CRISPR-associated protein 9 (CRISPR-Cas9) engineered TP53 knockout (KO) HCC cells. The authors also observed that the hyperactivation of Hypoxia inducible factor 1 subunit alpha under hypoxic stress promotes PFKFB4 expression. Hypoxia is known to activate multiple pro-angiogenic pathways and PFKFB4 has been shown to induce angiogenesis in certain solid tumors,6Li D. Tang J. Gao R. et al.PFKFB4 promotes angiogenesis via IL-6/STAT5A/P-STAT5 signaling in breast cancer.J Cancer. 2022; 13: 212-224Crossref PubMed Scopus (6) Google Scholar but its role in HCC remains to be explored. Importantly, the experimental depletion (CRISPR-Cas9) of PFKFB4 in HCC cells reduces their tumorigenicity and metastatic capacity in subcutaneous and orthotopic mouse models of HCC. Nevertheless, those findings were not observed in vitro. Such discrepancy could be attributed to; i) in vitro culture media, which might not recapitulate the nutrient composition of the liver microenvironment during HCC development and progression, or ii) hypoxia achievement, since in vivo is more likely to be a gradual process rather than acute hypoxia, which was assayed in culture. On the other hand, PFKFB4-mediated glycolytic reprogramming has been shown to promote fibrosis,7Lee M.O. You C.H. Son M.Y. et al.Pro-fibrotic effects of PFKFB4-mediated glycolytic reprogramming in fibrous dysplasia.Biomaterials. 2016; 107: 61-73Crossref PubMed Scopus (6) Google Scholar highlighting the need to explore its role in models of chronic liver injury and related HCC. To elucidate the impact of PFKFB4 in the metabolic rewiring of HCC, metabolomic analyses were performed in the PFKFB4 KO HCC cells, revealing that PFKFB4 generally acts as a phosphatase mediating the dephosphorylation of fructose-2,6-bisphosphate into fructose-6-phosphate, which is the substrate of PFK1. Thus, PFKFB4 depletion in hypoxic conditions lead to the accumulation of downstream metabolites in glycolysis and the pentose phosphate pathway. Next, RNA sequencing analyses of the PFKFB4 KO and control xenografts were conducted, identifying 63 differentially expressed genes, 16 of which were found to be upregulated in the PFKFB4-depleted xenografts and 47 were found to be downregulated. Among the upregulated genes, half were hypoxia-responsive, of which 25% were involved in oxidative stress alleviation and the other 25% were involved in glycolysis. With the aim to unravel the potential effect of PFKFB4 loss on intracellular reactive oxygen species (ROS) production and tumorigenesis, the investigators evaluated ROS levels in PFKFB4 KO xenografts by flow cytometry, observing a 2- to 3-fold increase of ROS, which did not result in apoptosis. In this regard, sorafenib-induced cell death in HCC has been reported to be dependent on ROS generation.8Coriat R. Nicco C. Cheŕeau C. et al.Sorafenib-induced hepatocellular carcinoma cell death depends on reactive oxygen species production in vitro and in vivo.Mol Cancer Ther. 2012; 11: 2284-2293Crossref PubMed Scopus (159) Google Scholar Because PFKFB4 appears to be involved in ROS mitigation through glucose metabolic reprogramming, the investigators evaluated the potential role of PFKFB4 in sorafenib cell resistance, demonstrating that PFKFB4-overexpressing cells and xenografts displayed higher tolerance to sorafenib and no reduction in tumor volume. This study introduces PFKFB4 as a novel driver of hepatocarcinogenesis. The relevance of PKFKB4 in modulating oncometabolic processes in different cancers already has been reported, being PFKFB4 particularly associated with cancer cell survival and metastasis.9Goidts V. Bageritz J. Puccio L. et al.RNAi screening in glioma stem-like cells identifies PFKFB4 as a key molecule important for cancer cell survival.Oncogene. 2012; 31: 3235-3243Crossref PubMed Scopus (109) Google Scholar,10Ros S. Santos C.R. Moco S. et al.Functional metabolic screen identifies 6-phosphofructo-2-kinase/fructose-2,6-biphosphatase 4 as an important regulator of prostate cancer cell survival.Cancer Discov. 2012; 2: 328-343Crossref PubMed Scopus (158) Google Scholar The current study describes an original pro-oncogenic role of PFKFB4 in HCC through the reduction of ROS levels and as a promoter of sorafenib resistance. Importantly, this work complements previous findings reporting the influence of genomic mutations in TP53 and microenvironmental stress in PFKFB4 expression,11Ros S. Flöter J. Kaymak I. et al.6-Phosphofructo-2-kinase/fructose-2,6-biphosphatase 4 is essential for p53-null cancer cells.Oncogene. 2017; 36: 3287-3299Crossref PubMed Scopus (53) Google Scholar and also reveals the clinical association between PFKFB4 overexpression and tumor aggressiveness in a subgroup of patients with HCC carrying loss-of-function TP53 mutations. Therefore, pharmacologic targeting of PFKFB4, alone or in combination with sorafenib, may represent a novel therapeutic avenue for patients with HCC, particularly for those harboring TP53 mutations, which deserves further investigation. Indeed, considering that the phosphatase function of PFKFB4 is predominant in the context of HCC, administration of the first-in-class PFKFB4 selective inhibitor 5MPN, which inhibits the fructose-6-phosphate binding site of the PFKFB4 kinase domain,12Chesney J. Clark J. Lanceta L. et al.Targeting the sugar metabolism of tumors with a first-in-class 6-phosphofructo-2-kinase (PFKFB4) inhibitor.Oncotarget. 2015; 6: 18001-18011Crossref PubMed Scopus (30) Google Scholar could enhance the pro-oncogenic activity of PFKFB4. Hence, exploring and developing alternative PFKFB4 inhibitors to selectively block the phosphatase activity might provide novel therapeutic opportunities for patients with HCC. Furthermore, future studies should explore the role of PFKFB4 in the promotion of antigen cell presentation and response to immunotherapy (Figure 1). PFKFB4 Drives the Oncogenicity in TP53-Mutated Hepatocellular Carcinoma in a Phosphatase-Dependent MannerCellular and Molecular Gastroenterology and HepatologyVol. 15Issue 6PreviewMetabolic reprogramming is recognized as a cancer hallmark intimately linked to tumor hypoxia, which supports rapid tumor growth and mitigates the consequential oxidative stress. Phosphofructokinase-fructose bisphosphatase (PFKFB) is a family of bidirectional glycolytic enzymes possessing both kinase and phosphatase functions and has emerged as important oncogene in multiple types of cancer. However, its clinical relevance, functional significance, and underlying mechanistic insights in hepatocellular carcinoma (HCC), the primary malignancy that develops in the most important metabolic organ, has never been addressed. Full-Text PDF Open Access

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,504
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,007
Tête enseignante GPT0,237
Écart entre enseignants0,229 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations6
Publié2023
Routes d'admission1
Résumé présentoui

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