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Enregistrement W2998578841 · doi:10.1016/j.ebiom.2019.11.050

ADNP (Activity Dependent Neuroprotector Homeobox): A novel oncogene driving poor prognosis in high-grade serous carcinoma

2020· article· en· W2998578841 sur OpenAlexaff
Gulisa Turashvili

Notice bibliographique

RevueEBioMedicine · 2020
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueRNA modifications and cancer
Établissements canadiensUniversity of TorontoMount Sinai Hospital
Organismes subventionnairesnon disponible
Mots-clésCancer researchOvarian cancerSerous fluidOvarian carcinomaBiologyCarcinogenesisCancerMedicineBioinformaticsOncologyGeneticsInternal medicine

Résumé

récupéré en direct d'OpenAlex

In this issue of EBioMedicine, Gatza and colleagues show through an integrative proteogenomic analysis of publicly available datasets that amplification and overexpression of ADNP (Activity Dependent Neuroprotector Homeobox) are associated with poor prognosis in high-grade serous carcinoma (HGSC), and further demonstrate its oncogenic potential via in vitro studies [[1]Karagoz K. Mehta G.A. Khella C.A. Khanna P. Gatza M.L. Integrative proteogenomic analyses of human tumours identifies ADNP as a novel oncogenic mediator of cell cycle progression in high-grade serous ovarian cancer with poor prognosis.EBioMedicine. 2019; Summary Full Text Full Text PDF PubMed Scopus (12) Google Scholar]. HGSC is the most common histologic subtype of ovarian carcinoma typically presenting at advanced stage and accounting for most deaths from ovarian cancer [[2]Kurman R.J. Shih Ie M. The dualistic model of ovarian carcinogenesis: revisited, revised, and expanded.Am J Pathol. 2016; 186: 733-747Summary Full Text Full Text PDF PubMed Google Scholar]. Nearly all HGSCs exhibit TP53 mutations, DNA copy number alterations and multiple subchromosomal aberrations, most frequently MYC, PIK3CA, AKT1 and NOTCH3 amplification, and dysregulation of Rb/E2F, Ras/PI3K and FoxM1 pathways [[3]Cancer Genome Atlas Research NIntegrated genomic analyses of ovarian carcinoma.Nature. 2011; 474: 609-615Crossref PubMed Scopus (5413) Google Scholar,[4]Ciriello G. Miller M.L. Aksoy B.A. Senbabaoglu Y. Schultz N. Sander C. Emerging landscape of oncogenic signatures across human cancers.Nat Genet. 2013; 45: 1127-1133Crossref PubMed Scopus (905) Google Scholar]. Unfortunately, inhibition of these pathways has not been effective in clinical trials [[5]Cortez A.J. Tudrej P. Kujawa K.A. Lisowska K.M. Advances in ovarian cancer therapy.Cancer Chemother Pharmacol. 2018; 81: 17-38Crossref PubMed Scopus (315) Google Scholar], and there are conflicting results for the prognostic significance of molecular subtypes of HGSC [[3]Cancer Genome Atlas Research NIntegrated genomic analyses of ovarian carcinoma.Nature. 2011; 474: 609-615Crossref PubMed Scopus (5413) Google Scholar,[6]Zhang H. Liu T. Zhang Z. Payne S.H. Zhang B. McDermott J.E. et al.Integrated proteogenomic characterization of human high-grade serous ovarian cancer.Cell. 2016; 166: 755-765Summary Full Text Full Text PDF PubMed Scopus (561) Google Scholar,[7]Tothill R.W. Tinker A.V. George J. Brown R. Fox S.B. Lade S. et al.Novel molecular subtypes of serous and endometrioid ovarian cancer linked to clinical outcome.Clin Cancer Res. 2008; 14: 5198-5208Crossref PubMed Scopus (1028) Google Scholar]. Therefore, identification of novel oncogenes such as ADNP is essential in the discovery of much needed new prognostic and predictive markers in HGSC. The Gatza group applied the Poor Prognosis Signature (PPS) by the Cancer Genome Atlas (TCGA) Project [[3]Cancer Genome Atlas Research NIntegrated genomic analyses of ovarian carcinoma.Nature. 2011; 474: 609-615Crossref PubMed Scopus (5413) Google Scholar] to three independent datasets [[3]Cancer Genome Atlas Research NIntegrated genomic analyses of ovarian carcinoma.Nature. 2011; 474: 609-615Crossref PubMed Scopus (5413) Google Scholar,[7]Tothill R.W. Tinker A.V. George J. Brown R. Fox S.B. Lade S. et al.Novel molecular subtypes of serous and endometrioid ovarian cancer linked to clinical outcome.Clin Cancer Res. 2008; 14: 5198-5208Crossref PubMed Scopus (1028) Google Scholar,[8]Yoshihara K. Tsunoda T. Shigemizu D. Fujiwara H. Hatae M. Fujiwara H. et al.High-risk ovarian cancer based on 126-gene expression signature is uniquely characterized by downregulation of antigen presentation pathway.Clin Cancer Res. 2012; 18: 1374-1385Crossref PubMed Scopus (127) Google Scholar] to identify the top 10 signaling pathways associated with the PPS signature. The authors used a 3-step approach to identify functionally significant alterations. First, samples were scored to detect copy number changes associated with a high PPS score. Secondly, the correlation between mRNA or protein expression and the PPS score was assessed to determine the functional relevance of genes/proteins in each amplicon. Finally, the statistically significant candidates were compared to identify genes amplified and overexpressed at the mRNA and protein level. Of 131 genes, 39 were reproducibly correlated with the PPS score. Finally, to prioritize these 39 genes for functional studies, the Achilles RNAi proliferation screen data was assessed. By examining the essentiality of the ∼9000 genes profiled in this screen relative to PPS score in a panel of 29 ovarian cell lines, ADNP and AKAP8K were identified as genes with a high PPS transcriptome profile. Given the association of ADNP copy number status with poor prognosis, the authors focused on this gene. ADNP is a Homeobox transcription regulator which includes nine zinc-fingers essential in chromatin remodeling, microtubule/autophagy regulation, cell growth and proliferation, modulation of E2F-regulated genes and p53, SWI/SNF and PI3K/AKT signaling. ADNP has been implicated in intestinal cell growth, neurological development, autism spectrum disorders, Alzheimer's disease and cancers including sarcomas [[9]Gozes I. Yeheskel A. Pasmanik-Chor M. Activity-dependent neuroprotective protein (ADNP): a case study for highly conserved chordata-specific genes shaping the brain and mutated in cancer.J Alzheimers Dis. 2015; 45: 57-73Crossref PubMed Scopus (28) Google Scholar,[10]Zamostiano R. Pinhasov A. Gelber E. Steingart R.A. Seroussi E. Giladi E. et al.Cloning and characterization of the human activity-dependent neuroprotective protein.J Biol Chem. 2001; 276: 708-714Summary Full Text Full Text PDF PubMed Scopus (195) Google Scholar]. Gatza and colleagues demonstrated strong associations between ADNP loss and decreased expression of cell cycle genes resulting in cell cycle inhibition following ADNP silencing, as well as between ADNP overexpression and activation of these pathways in three datasets. Importantly, ADNP mRNA expression was predictive of poor overall survival. Several questions remain unresolved. The PPS signature does not contain ADNP, and it is unclear if a pathway-based analysis would identify amplification and/or overexpression of ADNP; however, Gatza and colleagues demonstrated that ADNP mRNA expression consistently corresponds with a panel of proliferation and proliferation-associated gene expression signatures and cell cycle proteins. Furthermore, despite the strong association of ADNP expression with cell cycle alteration, effects of ADNP silencing varied among ovarian cancer cell lines: ADNP loss led to G1/S checkpoint arrest in OVCAR3 and G2/M checkpoint arrest in OVCAR5. Given that ADNP loss results in decreased expression of CDC25A which regulates CDK2/Cyclin E activity at the G1/S checkpoint and CDK1/Cyclin B activity at the G2/M checkpoint, the authors speculate that CDC25A activation in combination with other co-factors may be important in ADNP-mediated regulation of the cell cycle. Additionally, some of the findings of the study are somewhat contradictory to the existing literature. ADNP has been suggested to act as a tumor suppressor in triple-negative breast cancer, and either tumor suppressor or oncogene in colorectal cancer. Although Gatza and colleagues show that ADNP is an oncogenic mediator of cell cycle progression in HGSC, it is certainly plausible that ADNP may have a tissue-specific or dichotomous role in carcinogenesis. It is even possible that modulating the ADNP expression level in ovarian cancer cell lines changes the functional properties of these cells simply because the ADNP gene product is involved in the cell cycle. Nevertheless, in silico and in vitro data by Gatza and colleagues support an oncogenic role and prognostic potential of ADNP in HGSC. Additional studies are warranted to determine the effect of targeting ADNP in normal cell lines to determine the transformative capacity of ADNP, and to elucidate the mechanisms and context of ADNP-mediated tumor cell growth and survival in HGSC. The author declares no conflict of interest. The author apologizes to the many researchers whose work is not specifically referenced due to space limitations. Integrative proteogenomic analyses of human tumours identifies ADNP as a novel oncogenic mediator of cell cycle progression in high-grade serous ovarian cancer with poor prognosisWe identified ADNP as being amplified and overexpressed in poor prognosis HGSOC in silico analyses and demonstrated that ADNP is a novel and essential oncogene in HGSOC which mediates proliferation through dysregulation of cell cycle checkpoints in vitro. 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 candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,212
Score d'incertitude au seuil0,707

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,021
Tête enseignante GPT0,249
Écart entre enseignants0,227 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
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

Citations2
Publié2020
Routes d'admission1
Résumé présentoui

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